The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Universal Text Representation from BERT: An Empirical Study

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction

Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts

Meeting of the Association for Computational Linguistics

Bend but Don’t Break? Multi-Challenge Stress Test for QA Models

Empirical Methods in Natural Language Processing

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks


YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Voice Conversion With Just Nearest Neighbors

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with
  Diffusion Transformer


Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Meta-Learning with Implicit Gradients

Teaching with Commentaries

OmniPrint: A Configurable Printed Character Synthesizer

Meta-Learning with Adjoint Methods

Few-Shot Text Classification with Global–Local Feature Information

Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes

Multi-step Estimation for Gradient-based Meta-learning


Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

BEiT: BERT Pre-Training of Image Transformers

Multi-Task Learning Framework for Emotion Recognition in-the-wild


A python package that includes many methods for decoding neural activity

Machine learning for neural decoding

Altered brain-wide auditory networks in a zebrafish model of fragile X syndrome

A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells

Distributed coding of duration in rodent prefrontal cortex during time reproduction

Cortical Representation of Movement Across the Developmental Transition to Continuous Neural Activity

bioRxiv : the preprint server for biology


MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

Text Recognition in the Wild: A Survey

Text Prior Guided Scene Text Image Super-Resolution

Revisiting Scene Text Recognition: A Data Perspective


Can Neural Networks Crack Sudoku?

OptNet: Differentiable Optimization as a Layer in Neural Networks

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

Recurrent Relational Networks

Recurrent Relational Networks for complex relational reasoning

Dirichlet Diffusion Score Model for Biological Sequence Generation

Fast and flexible design of novel proteins using graph neural networks

Controlling Neural Networks via Energy Dissipation

A Neural Network for Semigroups


CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.

Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging

Urdu Word Segmentation using Machine Learning Approaches

International Journal of Advanced Computer Science and Applications

A Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity Recognition

Family Matters: Company Relations Extraction from Wikipedia

KNOWLEDGE ENGINEERING AND SEMANTIC WEB, KESW 2016


[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Label Efficient Visual Abstractions for Autonomous Driving

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle

Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing


DeepSeek LLM: Let there be answers

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Instruction-Following Evaluation for Large Language Models

Rho-1: Not All Tokens Are What You Need

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models


Github repository for FDPS

Implementation and performance of FDPS: a framework for developing parallel particle simulation codes

Publications of the Astronomical Society of Japan

Fortran interface layer of the framework for developing particle simulator FDPS

Unconvergence of very-large-scale giant impact simulations

Accelerated FDPS: Algorithms to use accelerators with FDPS


C++ implementation of the Coherent Point Drift point set registration algorithm.

DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration

International Conference on Computer Vision

Fast and Robust Iterative Closest Point

IEEE transactions on pattern analysis and machine intelligence

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments


Pytorch library for fast transformer implementations

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Rethinking Attention with Performers

RWKV: Reinventing RNNs for the Transformer Era

Large-scale chemical language representations capture molecular structure and properties

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

Fast Transformers with Clustered Attention

An Attention Free Transformer

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning


Arduino library to monitor battery consumption


Deep Visual-Semantic Alignments for Generating Image Descriptions

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning

SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning

SPICE: Semantic Propositional Image Caption Evaluation

Image Captioning with Semantic Attention

Sequence to Sequence -- Video to Text

Attention on Attention for Image Captioning

Exploring Visual Relationship for Image Captioning


Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Decompiling x86 Deep Neural Network Executables

Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization


R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)

CopywriteR: DNA copy number detection from off-target sequence data

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Single Cell Imaging of Nuclear Architecture Changes

Frontiers in cell and developmental biology

Inter- and Intra-Scanner Variability of Automated Brain Volumetry on Three Magnetic Resonance Imaging Systems in Alzheimer’s Disease and Controls

Defining the Influence of the A12.2 Subunit on Transcription Elongation and Termination by RNA Polymerase I In Vivo

Multidimensional well-being of US households at a fine spatial scale using fused household surveys


Cutadapt removes adapter sequences from sequencing reads

Local mutational diversity drives intratumoral immune heterogeneity in non-small cell lung cancer

RNA stores tau reversibly in complex coacervates

Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets

The Implication of Early Chromatin Changes in X Chromosome Inactivation

The CASC15 Long Intergenic Noncoding RNA Locus Is Involved in Melanoma Progression and Phenotype Switching

The Journal of investigative dermatology

Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies

miRge - A Multiplexed Method of Processing Small RNA-Seq Data to Determine MicroRNA Entropy

Reprogramming the antigen specificity of B cells using genome-editing technologies

A simple guide to de novo transcriptome assembly and annotation

Phenotype loss is associated with widespread divergence of the gene regulatory landscape in evolution


ModBus Measurement Daemon - simple reading of data from ModBus meters and grid inverters


Developer repository for the LATTE code

Next generation extended Lagrangian first principles molecular dynamics

Enabling particle applications for exascale computing platforms

The international journal of high performance computing applications

Quantum-based Molecular Dynamics Simulations using Tensor Cores

Quantum perturbation theory using Tensor cores and a deep neural network

Density-matrix based Extended Lagrangian Born-Oppenheimer Molecular Dynamics

Shadow energy functionals and potentials in Born-Oppenheimer molecular dynamics.

Graph-based Quantum Response Theory and Shadow Born-Oppenheimer Molecular Dynamics

Bringing discrete-time Langevin splitting methods into agreement with thermodynamics.

A fast, dense Chebyshev solver for electronic structure on GPUs

Hybrid programming-model strategies for GPU offloading of electronic structure calculation kernels


robotic motion planning library

A New Approach to Time-Optimal Path Parameterization Based on Reachability Analysis

Critically fast pick-and-place with suction cups

Generalizing Trajectory Retiming to Quadratic Objective Functions

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs

Time-Optimal Path Tracking with ISO Safety Guarantees


Correctly generate plurals, ordinals, indefinite articles; convert numbers to words

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


JavaSMT - Unified Java API for SMT solvers.

A Survey of Satisfiability Modulo Theory

JavaSMT: A Unified Interface for SMT Solvers in Java

Verified Software: Theories, Tools, Experiments

JavaSMT 3: Interacting with SMT Solvers in Java

Abstraction Refinement for Emptiness Checking of Alternating Data Automata

Tools and Algorithms for Construction and Analysis of Systems


High performance model preprocessing library on PyTorch

Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training

Proceedings of the 49th Annual International Symposium on Computer Architecture

Bullion: A Column Store for Machine Learning


Open-source benchmark suite for cloud microservices

Rise of the Planet of Serverless Computing: A Systematic Review

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions

Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon

RescureService: A Benchmark Microservice System for the Research of Mobile Edge and Cloud Computing


Ongoing research training transformer language models at scale, including: BERT & GPT-2

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services

Simple and Scalable Strategies to Continually Pre-train Large Language
  Models

ChemDFM: A Large Language Foundation Model for Chemistry

CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters

GeoGalactica: A Scientific Large Language Model in Geoscience

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

Applications of Large Scale Foundation Models for Autonomous Driving

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results

Optimizing Distributed Training on Frontier for Large Language Models


Content-Aware Unsupervised Deep Homography Estimation

Deep Image Homography Estimation

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

Head and Eye Egocentric Gesture Recognition for Human-Robot Interaction Using Eyewear Cameras


MAIAN: automatic tool for finding trace vulnerabilities in Ethereum smart contracts

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

A Framework and DataSet for Bugs in Ethereum Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing

A Survey of Security Vulnerabilities in Ethereum Smart Contracts

SMACS: Smart Contract Access Control Service

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts


A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water-fat MRI

Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields

3-D Surface Segmentation Meets Conditional Random Fields.


RSS: Regression with Summary Statistics

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes

Modeling regulatory network topology improves genome-wide analyses of complex human traits

Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries

A large-scale genome-wide enrichment analysis identifies new trait-associated genes, pathways and tissues across 31 human phenotypes*


TGN: Temporal Graph Networks

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA

TIGER: Temporal Interaction Graph Embedding with Restarts

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction

Spectral Transform Forms Scalable Transformer

A Recommender for Research Collaborators Using Graph Neural Networks


Source materials supporting Stripe Climate carbon removal purchases (http://stripe.com/climate)


Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Multimodal Residual Learning for Visual QA

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

A Focused Dynamic Attention Model for Visual Question Answering

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset

DualNet: Domain-Invariant Network for Visual Question Answering

Active Learning for Visual Question Answering: An Empirical Study

Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering

Visual Question Answering as a Multi-Task Problem


Train the HRNet model on ImageNet

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track

Contour-based Interactive Segmentation

Widely Applicable Strong Baseline for Sports Ball Detection and Tracking


API Documentation

Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine

Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements

A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections

ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election

Modeling communication asymmetry and content personalization in online social networks

Transformer-based Prediction of Emotional Reactions to Online Social Network Posts

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis


STORM movie analysis code

Analyzing Single Molecule Localization Microscopy Data Using Cubic Splines

Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning

Teaching deep neural networks to localize single molecules for super-resolution microscopy

Large-FOV 3D localization microscopy by spatially variant point spread function generation


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

StyleGAN2 Distillation for Feed-forward Image Manipulation

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

Face Identity Disentanglement via Latent Space Mapping

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Time-Travel Rephotography

Disentangling in Latent Space by Harnessing a Pretrained Generator.

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability


ReCiter: an enterprise open source author disambiguation system for academic institutions

Research evaluation support services in biomedical libraries

Journal of the Medical Library Association JMLA

ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions

Leveraging Wikidata to Build Scholarly Profiles as Service

KULA: Knowledge Creation, Dissemination, and Preservation Studies


Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

A Package for Learning on Tabular and Text Data with Transformers

Proceedings of the Third Workshop on Multimodal Artificial Intelligence


KnowFlow Automatic Water Monitoring device is an open sourced tool enable everyone having access to first hand water quality data with low cost.


AVClass malware labeling tool

AVClass2: Massive Malware Tag Extraction from AV Labels

Malware Lineage in the Wild

Online Malware Classification with System-Wide System Calls in Cloud IaaS

On labeling Android malware signatures using minhashing and further classification with Structural Equation Models

Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown

EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis


DeepTables:  Deep-learning Toolkit for Tabular data

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Deep & Cross Network for Ad Click Predictions

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Entity Embeddings of Categorical Variables

RecSys - FiBiNET: combining feature importance and bilinear feature interaction for click-through rate prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

FLEN: Leveraging Field for Scalable CTR Prediction

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data


Evolutionary couplings from protein and RNA sequence alignments

The EVcouplings Python framework for coevolutionary sequence analysis

Inferring protein 3D structure from deep mutation scans

Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences

Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact

The structural basis for regulation of the glutathione transporter Ycf1 by regulatory domain phosphorylation

Dormant spores sense amino acids through the B subunits of their germination receptors

Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions

Efficient polyethylene terephthalate degradation at moderate temperature: a protein engineering study of LC-cutinase highlights the key role of residue 243

Evidence that regulation of intramembrane proteolysis is mediated by substrate gating during sporulation in Bacillus subtilis

Proteome-scale discovery of protein interactions with residue-level resolution using sequence coevolution


Ethereum Virtual Machine (EVM) disassembler and assembler

EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts


Global scenarios of the Ocean Health Index


MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

A foundation model for atomistic materials chemistry

Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science

MACE-OFF23: Transferable Machine Learning Force Fields for Organic Molecules

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion

Data efficiency and extrapolation trends in neural network interatomic potentials

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures
  and Pressures

Systematic assessment of various universal machine-learning interatomic
  potentials

Beyond MD17: the reactive xxMD dataset


WRF-Hydro model code


Tensorflow's Fairness Evaluation and Visualization Toolkit

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Characterizing Intersectional Group Fairness with Worst-Case Comparisons

Reconfiguring Diversity and Inclusion for AI Ethics

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits

A Method for Generating Dynamic Responsible AI Guidelines for Collaborative Action


emoji terminal output for Python

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

North American Chapter of the Association for Computational Linguistics

RoBERTuito: a pre-trained language model for social media text in Spanish

Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL

"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection

An Experimental Analysis of Data Annotation Methodologies for Emotion Detection in Short Text Posted on Social Media

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection

Bernice: A Multilingual Pre-trained Encoder for Twitter

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks


SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016

AudioCaps: Generating Captions for Audios in The Wild

Learning Joint Embedding for Cross-Modal Retrieval


PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Fully Convolutional Networks for Semantic Segmentation

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Structured Output Learning with Conditional Generative Flows

Deep learning fetal ultrasound video model match human observers in biometric measurements

Priming Neural Networks

Plugin Networks for Inference under Partial Evidence


A framework to learn cross-lingual word embedding mappings

Unsupervised Neural Machine Translation

A Survey of Cross-lingual Word Embedding Models

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Empirical Methods in Natural Language Processing

Unsupervised Statistical Machine Translation

Probing Pretrained Language Models for Lexical Semantics

An Effective Approach to Unsupervised Machine Translation

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised Cross-lingual Transfer of Word Embedding Spaces

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach


[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

Pedestrian Attribute Recognition: A Survey

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion

SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition


Jointly Embedding Knowledge Graphs and Logical Rules

Type-Constrained Representation Learning in Knowledge Graphs

Transition-based Knowledge Graph Embedding with Relational Mapping Properties

Pacific Asia Conference on Language, Information, and Computation

Semantically Smooth Knowledge Graph Embedding

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

Composing Relationships with Translations

HAL (Le Centre pour la Communication Scientifique Directe)

Knowledge Base Completion via Coupled Path Ranking

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases

Context-Dependent Knowledge Graph Embedding

Irreflexive and Hierarchical Relations as Translations


A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.

Fast Exact Search in Hamming Space with Multi-Index Hashing

NearBucket-LSH: Efficient Similarity Search in P2P Networks

User session level diverse reranking of search results

Fishing in the Stream: Similarity Search over Endless Data


[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Debiased Contrastive Learning

Dataset Condensation via Efficient Synthetic-Data Parameterization

CompRess: Self-Supervised Learning by Compressing Representations

Impact of base dataset design on few-shot image classification

On Equivariant and Invariant Learning of Object Landmark Representations

Gacs-Korner Common Information Variational Autoencoder


Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Video Diffusion Models

Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models

Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)

SSM Meets Video Diffusion Models: Efficient Video Generation with
  Structured State Spaces

IRASim: Learning Interactive Real-Robot Action Simulators


[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Self-Supervised Monocular Depth Hints

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


UDPipe: Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U files

Twitter Universal Dependency Parsing for African-American and Mainstream American English

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Empirical Linguistic Study of Sentence Embeddings

Meeting of the Association for Computational Linguistics

One format to rule them all – The emtsv pipeline for Hungarian

Part of Speech Tagging: Shallow or Deep Learning?

Northern European Journal of Language Technology

Slavic Forest, Norwegian Wood

Workshop on NLP for Similar Languages, Varieties and Dialects

Universal Dependencies for Manx Gaelic

Cross-Lingual Adaptation Using Universal Dependencies

Slavic Forest, Norwegian Wood (scripts)

Comparison of Current Approaches to Lemmatization: A Case Study in Estonian


LSST Simulations repository for baseline evaluation information

The Absolute Magnitude of the Sun in Several Filters

The Astrophysical Journal Supplement Series

Updated BaSTI Stellar Evolution Models and Isochrones. II. α-enhanced Calculations

Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

The Near-ultraviolet Continuum Radiation in the Impulsive Phase of HF/GF-type dMe Flares. I. Data

Zenodo (CERN European Organization for Nuclear Research)

Surrogate modelling the Baryonic Universe - I. The colour of star formation

Monthly Notices of the Royal Astronomical Society

SED-dependent galactic extinction prescription for Euclid and future cosmological surveys

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

Surrogate modelling the Baryonic Universe II: On forward modelling the colours of individual and populations of galaxies

Considerations for Optimizing the Photometric Classification of Supernovae from the Rubin Observatory

Semi-analytic forecasts for Roman – the beginning of a new era of deep-wide galaxy surveys


Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

Federated Visual Classification with Real-World Data Distribution

Computationally Budgeted Continual Learning: What Does Matter?

A linearized framework and a new benchmark for model selection for fine-tuning

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset

Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

Online Continual Learning Without the Storage Constraint

Image Retrieval using Multi-scale CNN Features Pooling

DALG: Deep Attentive Local and Global Modeling for Image Retrieval


[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Learning Dense Representations of Phrases at Scale

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

Virtual Augmentation Supported Contrastive Learning of Sentence Representations


Satellite image time series in R

Satellite Image Time Series Analysis for Big Earth Observation Data

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017

Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series


R tools for Eurostat data

Retrieval and Analysis of Eurostat Open Data with the eurostat Package


Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.

QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph

Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering

No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph

Template-based Question Answering using Recursive Neural Networks

Modern Baselines for SPARQL Semantic Parsing

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Knowledge Graph Question Answering using Graph-Pattern Isomorphism

QaldGen: Towards Microbenchmarking of Question Answering Systems over Knowledge Graphs

Question Answering Over Knowledge Graphs: A Case Study in Tourism

Using Multi-Label Classification for Improved Question Answering

Towards Optimisation of Collaborative Question Answering over Knowledge Graphs


The prime repository for state-of-the-art Multilingual Question Answering research and development.

Learning Cross-Lingual IR from an English Retriever

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning

International Conference on Computational Linguistics

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking

QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development


A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters

DistriFusion: Distributed Parallel Inference for High-Resolution
  Diffusion Models

USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

PipeFusion: Displaced Patch Pipeline Parallelism for Inference of
  Diffusion Transformer Models


Digital Image Correlation using a Fast Fourier Transform approach

Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities

From Toppling to Sliding: Progressive Evolution of the Moosfluh Landslide, Switzerland

Journal of Geophysical Research: Earth Surface

Monitoring and analysis of active rockslide-glacier interactions (Moosfluh, Switzerland)

Present-day gully activity in Sisyphi Cavi, Mars – Flow-like features and block movements

Recharge response and kinematics of an unusual earthflow in Liechtenstein

Potential of multisensor assessment using digital image correlation for landslide detection and monitoring


Taxonomic classification of viruses at Order and Family level

Stability of the human gut virome and effect of gluten-free diet.

Biases in Viral Metagenomics-Based Detection, Cataloguing and Quantification of Bacteriophage Genomes in Human Faeces, a Review

Metagenomic investigation of the equine faecal microbiome reveals extensive taxonomic diversity

Virome Sequencing of the Human Intestinal Mucosal–Luminal Interface

Frontiers in cellular and infection microbiology

Hi-C Metagenomics in the ICU: Exploring Clinically Relevant Features of Gut Microbiome in Chronically Critically Ill Patients

High Level of Interaction between Phages and Bacteria in an Artisanal Raw Milk Cheese Microbial Community

Differences in Gut Virome Related to Barrett Esophagus and Esophageal Adenocarcinoma

Alpha-synuclein alters the faecal viromes of rats in a gut-initiated model of Parkinson’s disease

A Genomic Census of the Chicken Gut Microbiome using Metagenomics and Culture

Bacteriophages limitedly contribute to the antimicrobial resistome of microbial communities in wastewater treatment plants


demo

Trained Ternary Quantization

Ternary Weight Networks

Ternary Compression for Communication-Efficient Federated Learning


Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder


Toward Safer Autonomous Vehicles: Occlusion-Aware Trajectory Planning to Minimize Risky Behavior

IEEE Open Journal of Intelligent Transportation Systems

A Reinforcement Learning-Boosted Motion Planning Framework:
  Comprehensive Generalization Performance in Autonomous Driving

FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving

Investigating Driving Interactions: A Robust Multi-Agent Simulation
  Framework for Autonomous Vehicles


State-of-the-art metric for Natural Language Generation

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

QuestEval: Summarization Asks for Fact-based Evaluation

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Rethinking Automatic Evaluation in Sentence Simplification

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization

Leveraging Summary Guidance on Medical Report Summarization

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework


Steering drones with body gestures (based on PoseNet)

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling

Learning Deep and Compact Models for Gesture Recognition


Towards Automated Circuit Discovery for Mechanistic Interpretability

Sparse Autoencoders Enable Scalable and Reliable Circuit Identification
  in Language Models

Knowledge Circuits in Pretrained Transformers


Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reasoning with Language Model is Planning with World Model

RoT: Enhancing Large Language Models with Reflection on Search Trees


Ethereum Virtual Machine (EVM) Bytecode or Solidity Smart Contract static analysis tool based on symbolic execution

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Blockchain Large Language Models

Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model

Identifying Smart Contract Security Issues in Code Snippets from Stack
  Overflow

StateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Official implementation for ICDAR 2024 Oral paper "ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition"

Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition


Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

StyleDrop: Text-to-Image Generation in Any Style

Learning Disentangled Prompts for Compositional Image Synthesis

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser


code for G2LTraj

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction


This project is a tensorflow implement of our work, ECM.

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Low-Resource Response Generation with Template Prior

Empirical Methods in Natural Language Processing

EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation


Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

TD-MPC2: Scalable, Robust World Models for Continuous Control

Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic


Training data-efficient image transformers & distillation through attention

Emerging Properties in Self-Supervised Vision Transformers

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

CvT: Introducing Convolutions to Vision Transformers

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Going deeper with Image Transformers

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

Rethinking Spatial Dimensions of Vision Transformers

DeepViT: Towards Deeper Vision Transformer


Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

Speech Recognition with Deep Recurrent Neural Networks

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Listen, Attend and Spell

Jasper: An End-to-End Convolutional Neural Acoustic Model


ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


JEME method for predicting enhancer targets

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal

EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions

Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets

Machine and deep learning methods for predicting 3D genome organization.


Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"

Lipschitz-constrained Unsupervised Skill Discovery

Unsupervised Skill Discovery with Bottleneck Option Learning

Learning to Discover Skills through Guidance


COPOD: Copula-Based Outlier Detection

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

UADB: Unsupervised Anomaly Detection Booster


A simple particle tracking algorithm for MATLAB that can deal with gaps.

Odd dynamics of living chiral crystals

In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy

Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends

Non-invasive transcranial volumetric ultrasound localization microscopy of the rat brain with continuous, high volume-rate acquisition

Compressed Sensing-Based Super-Resolution Ultrasound Imaging for Faster Acquisition and High Quality Images

Dynamic Imaging using any Ultrasound Localization Microscopy Dataset

3D transcranial Dynamic Ultrasound Localization Microscopy in the mouse
  brain using a Row-Column Array


Relational Reflection Entity Alignment

Relational Reflection Entity Alignment

International Conference on Information and Knowledge Management

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Knowledge graph embedding methods for entity alignment: experimental review

Dependency-aware Self-training for Entity Alignment

Guiding Neural Entity Alignment with Compatibility


Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).

Towards Deep Learning Models Resistant to Adversarial Attacks

Overfitting in adversarially robust deep learning

Reliable Adversarial Distillation with Unreliable Teachers

LTD: Low Temperature Distillation for Robust Adversarial Training


Multimodal Model for Memotion Dataset

Gated Multimodal Units for Information Fusion

SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!

Humor Detection: A Transformer Gets the Last Laugh


ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

Model-Agnostic Bias Measurement in Link Prediction

Findings of the Association for Computational Linguistics: EACL 2023


Differential Privacy Preservation in Deep Learning under Model Attacks

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Preserving Differential Privacy in Convolutional Deep Belief Networks

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness


SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance

SHMnet: Condition assessment of bolted connection with beyond human-level performance

A deep transfer learning network for structural condition identification with limited real-world training data

Deep Learning Algorithms for Structural Condition Identification with Limited Monitoring Data

International Conference on Smart Infrastructure and Construction 2019 (ICSIC)


WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Fake Faces Identification via Convolutional Neural Network

PROCEEDINGS OF THE 6TH ACM WORKSHOP ON INFORMATION HIDING AND MULTIMEDIA SECURITY (IH&MMSEC'18)

Detecting Both Machine and Human Created Fake Face Images In the Wild

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security

Poster: Towards Robust Open-World Detection of Deepfakes

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Talking Face Generation with Expression-Tailored Generative Adversarial Network

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Towards Photo-Realistic Facial Expression Manipulation

International Journal of Computer Vision


MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing

Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing

Deep Blind Unmixing using Minimum Simplex Convolutional Network

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium


Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)

MINE: Mutual Information Neural Estimation

Deep Variational Information Bottleneck


BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Human-level control through deep reinforcement learning

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Proximal Policy Optimization Algorithms

Playing Atari with Deep Reinforcement Learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Improving Language Understanding by Generative Pre-Training

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset


[KDD 2023] code for "Test accuracy vs. generalization gap: model selection in NLP without accessing training or testing data" https://arxiv.org/pdf/2202.02842.pdf

Attention Is All You Need

Fantastic Generalization Measures and Where to Find Them

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data


Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Backdoor Defense via Deconfounded Representation Learning

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting


FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

RandAugment: Practical automated data augmentation with a reduced search space

AutoAugment: Learning Augmentation Policies from Data

Sharpness-Aware Minimization for Efficiently Improving Generalization


Adversarial Weighting for Domain Adaptation in Regression

Domain-Adversarial Training of Neural Networks

Adversarial Discriminative Domain Adaptation

Bridging Theory and Algorithm for Domain Adaptation


Uncertainty Aware Semi-Supervised Learning on Graph Data

Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

Learning on Graphs with Out-of-Distribution Nodes

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Multitask Active Learning for Graph Anomaly Detection


Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

Causal Effect Estimation using Variational Information Bottleneck


the code for three models introduced in DYNAMIC NEURAL PROGRAM EMBEDDINGS FOR PROGRAM REPAIR (ICLR 18)

Dynamic Neural Program Embedding for Program Repair

A Literature Study of Embeddings on Source Code

A Survey of Learning-based Automated Program Repair


the datasets of the paper POG

Self-supervised Graph Learning for Recommendation

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Efficient Bi-Level Optimization for Recommendation Denoising

Linear-Time Graph Neural Networks for Scalable Recommendations

Diffusion Models for Generative Outfit Recommendation


Automatic code generation of Fast Multipole and Barnes-Hut operators

Simple recursive implementation of fast multipole method

Journal of Magnetism and Magnetic Materials

The fast multipole method and point dipole moment polarizable force fields

Efficient Open-Source Implementations of Linear-Scaling Polarizable Embedding: Use Octrees to Save the Trees

Journal of chemical theory and computation

fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods


This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

Node Attribute Generation on Graphs


Deep Residual Learning for Image Recognition

Attention Is All You Need

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

CBAM: Convolutional Block Attention Module

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Dual Attention Network for Scene Segmentation

Training data-efficient image transformers & distillation through attention


Awesome Automatic Guitar Transcription Resources

Automatic Transcription of Guitar Chords and Fingering From Audio

IEEE Transactions on Audio, Speech, and Language Processing

Multitask Learning for Polyphonic Piano Transcription, a Case Study

Isolated guitar transcription using a deep belief network

Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

International Conference on Acoustics, Speech, and Signal Processing


LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Category-Oriented Localization Distillation for SAR Object Detection and a Unified Benchmark

Thermal UAV Image Super-Resolution Guided by Multiple Visible Cues

UAV-Ground Visual Tracking: A Unified Dataset and Collaborative Learning Approach

IEEE transactions on circuits and systems for video technology


SSRNET for hyperspectral and multispectral image fusion.

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Crossed Dual-Branch U-Net for Hyperspectral Image Super-Resolution

IEEE journal of selected topics in applied earth observations and remote sensing


Correlation Networks for Extreme Multi-label Text Classification

MATCH: Metadata-Aware Text Classification in A Large Hierarchy

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study


Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges

FedHarmony: Unlearning Scanner Bias with Distributed Data


Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)

K-UNN: k-Space Interpolation With Untrained Neural Network

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI


Bullseye analysis pipeline for DART-seq analysis

TRIBE: Hijacking an RNA-Editing Enzyme to Identify Cell-Specific Targets of RNA-Binding Proteins

scDART-seq reveals distinct m6A signatures and mRNA methylation heterogeneity in single cells.

Mechanistic implications of enhanced editing by a HyperTRIBE RNA-binding protein

m6A and YTHDF proteins contribute to the localization of select neuronal mRNAs

Single-molecule identification of the target RNAs of different RNA binding proteins simultaneously in cells

Improved Methods for Deamination-Based m6A Detection

Frontiers in cell and developmental biology

Detection of m6A in single cultured cells using scDART-seq

Abstract 1620: Cellular RNA interacts with MAVS to promote antiviral signaling

bioRxiv : the preprint server for biology


WaveNet for the separation of audio sources

Domain-Adversarial Training of Neural Networks

WaveNet: A Generative Model for Raw Audio

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

A Universal Music Translation Network


An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Robust Dynamic Network Embedding via Ensembles


orthology assignment using phylogenetic and network analyses

Broccoli: combining phylogenetic and network analyses for orthology assignment

Benchmarking orthology methods using phylogenetic patterns defined at the base of Eukaryotes

Caenorhabditis elegans MES-3 is a highly divergent ortholog of the canonical PRC2 component SUZ12


Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

International Conference on Information and Knowledge Management

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation

Recommender Systems with Generative Retrieval


[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning


Pretrained Biomedical Name Encoder

Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations

Conference of the European Chapter of the Association for Computational Linguistics

Scalable Few-Shot Learning of Robust Biomedical Name Representations

Workshop on Biomedical Natural Language Processing

Integrating Higher-Level Semantics into Robust Biomedical Name Representations

International Workshop on Health Text Mining and Information Analysis


Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)

Local Search GFlowNets

Bifurcated Generative Flow Networks


SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning

A Survey of Learning-based Automated Program Repair

SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning

APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities


ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

Online Meta-Learning for Hybrid Model-Based Deep Receivers


[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Class-Balanced Loss Based on Effective Number of Samples

NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition


German Text Embedding Clustering Benchmark

MTEB: Massive Text Embedding Benchmark

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning


This repository presents a comprehensive implementation of collaborative filtering recommender systems.

Neural Collaborative Filtering

The Why and How of Nonnegative Matrix Factorization

Neural Network Matrix Factorization

A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems


The implement of paper "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN"

Deep Intellectual Property Protection: A Survey

False Claims against Model Ownership Resolution


Pulsar searching

The MPIfR–MeerKAT Galactic Plane Survey – I. System set-up and early results

The TRAPUM L-band survey for pulsars in Fermi-LAT gamma-ray sources

Monthly Notices of the Royal Astronomical Society

MeerKAT discovery of 13 new pulsars in Omega Centauri

PulsarX: A new pulsar searching package

The MPIfR-MeerKAT Galactic Plane Survey

TRAPUM upper limits on pulsed radio emission for SMC X-ray pulsar J0058−7218

Monthly notices of the Royal Astronomical Society

Discoveries and timing of pulsars in M62

MeerKAT caught a Mini Mouse: serendipitous detection of a young radio pulsar escaping its birth site

TRAPUM search for pulsars in supernova remnants and pulsar wind nebulae − I. Survey description and initial discoveries


The implementation of our paper: Bilinear Representation for Language-Based Image Editing using Conditional Generative Adversarial Networks (ICASSP2019)

Generative Adversarial Text to Image Synthesis

Semantic Image Synthesis via Adversarial Learning

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks


StePar is an automatic code used to infer stellar atmospheric parameters using the EW method.

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

Stellar atmospheric parameters of FGK-type stars from high-resolution optical and near-infrared CARMENES spectra

Photometric Calibrations of M-dwarf Metallicity with Markov Chain Monte Carlo and Bayesian Inference

Calibrating the metallicity of M dwarfs in wide physical binaries with F-, G-, and K-primaries – II: carbon, oxygen, and odd-Z iron-peak abundances of the primary stars


Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Online Prototype Learning for Online Continual Learning

Overcoming Catastrophic Forgetting by Generative Regularization

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation


SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Evaluating Factuality in Generation with Dependency-level Entailment

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


Data and code accompanying the paper "Reasoning about Goals, Steps, and Temporal Ordering with WikiHow"

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

Reasoning about Procedures with Natural Language Processing: A Tutorial

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

The Gaia–Kepler Stellar Properties Catalog. II. Planet Radius Demographics as a Function of Stellar Mass and Age

Mimicking the halo–galaxy connection using machine learning

Cosmological coupling of nonsingular black holes

An observational correlation between magnetic field, angular momentum and fragmentation in the envelopes of Class 0 protostars?

Statistical analysis of cavitation erosion impacts in a vibratory apparatus with copulas

IOP Conference Series: Earth and Environmental Science

Diagnostic diagrams for ram-pressure stripped candidates


Data augmentation for NLP, accepted at EMNLP 2021 Findings

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

AEDA: An Easier Data Augmentation Technique for Text Classification

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract
  Descriptions


core  code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Hiding Images in Deep Probabilistic Models

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding


Developing a Melanoma Detector with Neural Networks and Flask for Deployment

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context


Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics†

Molecular Dynamics Simulations and Diversity Selection by Extended Continuous Similarity Indices

Journal of chemical information and modeling

Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets

Sampling and Mapping Chemical Space with Extended Similarity Indices


Self-Instruct: Aligning Language Models with Self-Generated Instructions

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Instruction Tuning for Large Language Models: A Survey

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Chinese Open Instruction Generalist: A Preliminary Release


Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation

Self Contrastive Learning for Session-based Recommendation

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation


Code for the paper "Smart 'Predict, then Optimize'"

Smart "Predict, then Optimize"

Fast Rates for Contextual Linear Optimization

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities


Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Drosophila melanogaster S2 cells

Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq

Enhancer–core-promoter specificity separates developmental and housekeeping gene regulation

Transcriptional cofactors display specificity for distinct types of core promoters

Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution

STARR‐seq and UMI‐STARR‐seq: Assessing Enhancer Activities for Genome‐Wide‐, High‐, and Low‐Complexity Candidate Libraries

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers

Enhancers display constrained sequence flexibility and context-specific modulation of motif function


DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)

Deep Joint Entity Disambiguation with Local Neural Attention

Key Mention Pairs Guided Document-Level Relation Extraction

International Conference on Computational Linguistics


Based on the mmdetection framework, compute various salience maps for object detection.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Black-box Explanation of Object Detectors via Saliency Maps


A curated list of grounding natural language in video and related area. :-)

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos

Dual Path Interaction Network for Video Moment Localization

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Visual Co-Occurrence Alignment Learning for Weakly-Supervised Video Moment Retrieval

Proceedings of the 29th ACM International Conference on Multimedia

Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization

Cross Interaction Network for Natural Language Guided Video Moment Retrieval

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Cross-modal video moment retrieval based on visual-textual relationship alignment

Context-aware network with foreground recalibration for grounding natural language in video

Semantic Modulation Based Residual Network for Temporal Language Queries Grounding in Video


Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis

An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization

A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully
  Automated Network Management Platform


PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Wasserstein Iterative Networks for Barycenter Estimation


[ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Diffusion Posterior Sampling for General Noisy Inverse Problems

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Denoising Diffusion Models for Plug-and-Play Image Restoration


A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality


Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


Causal discovery for time series

DYNOTEARS: Structure Learning from Time-Series Data

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Castor: Causal Temporal Regime Structure Learning


CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters

GitRanking: A ranking of GitHub topics for software classification using active sampling

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation

Detecting implicit cross-communities to which an active user belongs


:socks: Stochastic Optimal Control and Reachability Toolbox Written in Python

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods

International Conference on Hybrid Systems: Computation and Control

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control


Code for 'Emergent Symbols through Binding in External Memory'.

Systematic Visual Reasoning through Object-Centric Relational Abstraction

GAMR: A Guided Attention Model for (visual) Reasoning


Python Package for Laser Speckle Contrast Imaging

Laser speckle contrast imaging in biomedical optics

Laser speckle contrast imaging: theoretical and practical limitations

Laser Speckle Contrast Imaging: Theory, Instrumentation and Applications

Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review

Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging


This project implements ETX metric in AODV routing protocol in NS3 simulator

Joint traffic-aware UAV placement and predictive routing for aerial networks

A Framework for Performance Evaluation of VANETs Using NS-3 Simulator

A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks


Soil-Vegetation-Atmosphere Transfer (SVAT) model


A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Learning with minibatch Wasserstein : asymptotic and gradient properties

Minibatch optimal transport distances; analysis and applications

Improving Mini-batch Optimal Transport via Partial Transportation

On Transportation of Mini-batches: A Hierarchical Approach

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

Assessing the integrity of auditory processing and sensory memory in adults with cystinosis (CTNS gene mutations)

Response inhibition and error-monitoring in cystinosis (CTNS gene mutations): Behavioral and electrophysiological evidence of a diverse set of difficulties

bioRxiv : the preprint server for biology


This repository includes the code for neural DRS parsing

Exploring Neural Methods for Parsing Discourse Representation Structures

Evaluating Scoped Meaning Representations

Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT


Tools for biogas research in R: process biogas data and predict biogas production

Development and Validation of a Low-Cost Gas Density Method for Measuring Biochemical Methane Potential (BMP)


PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

Rethinking the Inception Architecture for Computer Vision

Demystifying MMD GANs

Improved Precision and Recall Metric for Assessing Generative Models

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

On the Stability of Iterative Retraining of Generative Models on their own Data

Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Expressiveness Remarks for Denoising Diffusion Models and Samplers


Causal Neural Nerwork

CUTS: Neural Causal Discovery from Irregular Time-Series Data

CUTS+: High-dimensional Causal Discovery from Irregular Time-series

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

Neural Structure Learning with Stochastic Differential Equations


ChatterBox: Multi-round Multimodal Referring and Grounding, Multimodal, Multi-round dialogues

Visual Instruction Tuning

LISA: Reasoning Segmentation via Large Language Model

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest


OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.


Source code for the ICDCS 2022 paper "Dissecting the Performance of Chained-BFT"

Scaling Blockchain Consensus via a Robust Shared Mempool

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis


Parallel Search-Based Planning Algorithms

ePA*SE: Edge-based Parallel A* for Slow Evaluations

GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations

A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations


Cyrus2D base is a sample implementation of the soccer team for the RoboCup Soccer Simulation. Cyrus2D Base = HeliosBase + GlidersBase + valuable features of Cyrus team

Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023


An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

Representation Learning with Contrastive Predictive Coding

Unsupervised pretraining transfers well across languages

Aligned Contrastive Predictive Coding

Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words


Pytorch implementation of differentiable group normalization (NeurIPS 2020)

Graph-based Semi-supervised Learning: A Comprehensive Review

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Graph Augmentation Learning


Processed datasets that we have used in our research

Label-Only Membership Inference Attacks

Unleashing the Power of Randomization in Auditing Differentially Private ML

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting


Reproducing Spiking Transformers using Briancog

Spikformer: When Spiking Neural Network Meets Transformer

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking
  Neural Networks

TIM: An Efficient Temporal Interaction Module for Spiking Transformer

QKFormer: Hierarchical Spiking Transformer using Q-K Attention


AAPL: Adding Attributes to Prompt Learning for Vision-Language Models (CVPRw 2024)

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models


Code for paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"

Learning Video Representations from Large Language Models

VideoAgent: Long-form Video Understanding with Large Language Model as
  Agent


A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011

A Cloud Controller for Performance-Based Pricing

International Conference on Cloud Computing

Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers

A Taxonomy of Live Migration Management in Cloud Computing

PSO-Based Ensemble Meta-Learning Approach for Cloud Virtual Machine Resource Usage Prediction

Multi-Objective Hybrid Flower Pollination Resource Consolidation Scheme for Large Cloud Data Centres


PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

Imitating Graph-Based Planning with Goal-Conditioned Policies


PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".

Learning to Scale Logits for Temperature-Conditional GFlowNets


[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment

A Unified View of Differentially Private Deep Generative Modeling

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


Segmented anisotropic ssTEM dataset of neural tissue

Deep learning based domain adaptation for mitochondria segmentation on EM volumes

Cost-efficient segmentation of electron microscopy images using active learning

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy


Source code for GlorIA models pre-training.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

GlórIA – A Generative and Open Large Language Model for Portuguese


The aim of this repository is to test and implement Flow-Matching-based models

Flow Matching for Generative Modeling

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Text-to-Image Rectified Flow as Plug-and-Play Priors


dancetrack 比赛第二名

Simple Online and Realtime Tracking

International Conference on Information Photonics

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Multiple Object Tracking Challenge Technical Report for Team MT_IoT


InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical
  Reasoning

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Exploring the Mystery of Influential Data for Mathematical Reasoning


[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

Effective conditioned and composed image retrieval combining CLIP-based features

Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Bi-directional Training for Composed Image Retrieval via Text Prompt Learning


"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Graph Neural Rough Differential Equations for Traffic Forecasting


Official PyTorch implementation of CASS, from the following paper:  CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.

Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision


Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers


Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples


Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Explaining Neural Matrix Factorization with Gradient Rollback


Early access articles, Journals, and Conferences

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

IEEE Transactions on Industrial Electronics

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

IEEE Transactions on Instrumentation and Measurement

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

IEEE Transactions on Industrial Informatics

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks

Fault diagnosis of power transformers using graph convolutional network

CSEE电力与能源系统学报

A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis Based on Bearing Vibration Signal

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

Rolling Bearing Fault Diagnosis Based on Horizontal Visibility Graph and Graph Neural Networks

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis


[ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Disentangling Length from Quality in Direct Preference Optimization

Decoding-Time Language Model Alignment with Multiple Objectives


Federated Learning Based on Dynamic Regularization

FedLab: A Flexible Federated Learning Framework

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes


Prod Env

Large Language Models are Zero-Shot Reasoners

Augmented Large Language Models with Parametric Knowledge Guiding

Calibrating Reasoning in Language Models with Internal Consistency

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios


A tool for classifying prokaryote protein sequences into COG(Cluster of Orthologous Genes) functional category


VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

Pyramid Convolutional RNN for MRI Image Reconstruction

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Variational Graph Recurrent Neural Networks


Generative networks as inverse problems with Scattering transforms

Fractional Wavelet-Based Generative Scattering Networks

Generative networks as inverse problems with fractional wavelet scattering networks


Python package for compositional data analysis including CLR/ILR, proportionality, partial correlation with basis shrinkage, and visualizations.

Proportionality: A Valid Alternative to Correlation for Relative Data

Balance Trees Reveal Microbial Niche Differentiation

Understanding sequencing data as compositions: an outlook and review

A field guide for the compositional analysis of any-omics data

propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis

How should we measure proportionality on relative gene expression data?

Theory in biosciences = Theorie in den Biowissenschaften

Differential proportionality - a normalization-free approach to differential gene expression

Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children

Applications of weighted association networks applied to compositional data in biology


OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation


Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

Representation Topology Divergence: A Method for Comparing Neural Network Representations

DreamTeacher: Pretraining Image Backbones with Deep Generative Models


Gyrochronology via interpolation of open cluster rotation sequences.

The Empirical Limits of Gyrochronology

Wide binaries demonstrate the consistency of rotational evolution between open cluster and field stars


Code to accompany paper 'A Little Data Goes A Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning'

Generalized Seismic Phase Detection with Deep Learning

Bulletin of the Seismological Society of America

A Little Data goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano with Transfer Learning

Journal of Geophysical Research: Solid Earth


Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Out-of-Distribution Detection with Deep Nearest Neighbors

From Global to Local: Multi-Scale Out-of-Distribution Detection


Implementation of EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning

Neural Question Generation from Text: A Preliminary Study

QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation


use long sequenced reads to close gaps in assemblies

Chromosome-Scale Genome Assembly for Chinese Sour Jujube and Insights Into Its Genome Evolution and Domestication Signature

An ancient truncated duplication of the anti-Mullerian hormone receptor type 2 gene is a potential conserved master sex determinant in the Pangasiidae catfish family

Gapless genome assembly of azalea and multi-omics investigation into divergence between two species with distinct flower color

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


[NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators


Segment cuboid-shaped objects (e.g. parcels) without any task specific training data. Code from ICMLA 2020 paper "Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection".

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image


Materials related to our Sinn und Bedeutung 23 paper

Language Models are Few-Shot Learners

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Muppet: Massive Multi-task Representations with Pre-Finetuning

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Evaluating BERT for natural language inference: A case study on the CommitmentBank

Empirical Methods in Natural Language Processing

Improving In-Context Few-Shot Learning via Self-Supervised Training


code associated with WANLI dataset in Liu et al., 2022

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Goal Driven Discovery of Distributional Differences via Language Descriptions

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training


Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning

A Differential Entropy Estimator for Training Neural Networks


Likelihood-Free Frequentist Inference

Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference


Question Answering System using BiDAF Model on SQuAD v2.0

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Know What You Don't Know: Unanswerable Questions for SQuAD

Bidirectional Attention Flow for Machine Comprehension


Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

REALM: Retrieval-Augmented Language Model Pre-Training

Pre-training via Paraphrasing


Reinforcement-learning-based control of confined cylinder wakes with stability analyses

Deep reinforcement learning-based active flow control of an elliptical cylinder: Transitioning from an elliptical cylinder to a circular cylinder and a flat plate

Effect of Synthetic Jets Actuator Parameters on Deep Reinforcement
  Learning-Based Flow Control Performance in a Square Cylinder


:mag: python package to evaluate GANs for video generation

Improved Techniques for Training GANs

Assessing Generative Models via Precision and Recall

An empirical study on evaluation metrics of generative adversarial networks


Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)

Differentiable Causal Discovery from Interventional Data

BaCaDI: Bayesian Causal Discovery with Unknown Interventions


[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

IEEE transactions on neural networks and learning systems

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection


Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning


Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

Addressing Function Approximation Error in Actor-Critic Methods

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments


Jax/Flax implementation of DeiT and DeiT-III (ViT)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Training data-efficient image transformers & distillation through attention

DeiT III: Revenge of the ViT


An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning


State-of-the-art medical image registration methods

Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set