CaRB - A Crowdsourced Benchmark for Open IE

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

CaRB: A Crowdsourced Benchmark for Open IE

EMNLP (Findings) - Multiˆ2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

LILLIE: Information extraction and database integration using linguistics and learning-based algorithms

CompactIE: Compact Facts in Open Information Extraction

Syntactic Multi-view Learning for Open Information Extraction

Constrained Tuple Extraction with Interaction-Aware Network

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Open Information Extraction via Chunks


code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

Graph Neural Network for Traffic Forecasting: A Survey

Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation Research Part C: Emerging Technologies

Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools


Benchmark for LP-relaxed robustness verification of ReLU-networks

Towards Deep Learning Models Resistant to Adversarial Attacks

Provable defenses against adversarial examples via the convex outer adversarial polytope

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


A webpage for the scattering transform. To calculate, you just need the folder called "scattering".

Weak lensing scattering transform: dark energy and neutrino mass sensitivity

Monthly Notices of the Royal Astronomical Society

How to quantify fields or textures? A guide to the scattering transform

Scattering spectra models for physics

Can diffusion model conditionally generate astrophysical images?

Monthly notices of the Royal Astronomical Society

How informative are summaries of the cosmic 21 cm signal?


Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Graph-based Molecular Representation Learning

Data Augmentation for Graph Data: Recent Advancements


Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D

Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles

Asymmetry and condition number of an elliptic-parabolic system for biological network formation

Spatial accuracy evaluation of magnetic source imaging methods on OPM-based MEG

Multi-timescale reinforcement learning in the brain

bioRxiv : the preprint server for biology

Unsupervised learning of observation functions in state-space models by nonparametric moment methods


[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision

Towards Weakly-Supervised Hate Speech Classification Across Datasets


SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data

Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN

Reconstructing gene regulatory networks in single-cell transcriptomic data analysis


Deep Implicit Coordination Graphs

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent
  Reinforcement Learning


A formalized proof of a version of the initiality conjecture

The Univalence Principle

The Hurewicz theorem in homotopy type theory

Central H-spaces and banded types

Characterizations of modalities and lex modalities

Type-Theoretic Signatures for Algebraic Theories and Inductive Types

Ext groups in Homotopy Type Theory

Construction of the Circle in UniMath


TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

Do dialogue representations align with perception? An empirical study

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics


MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Human methylome variation across Infinium 450K data on the Gene Expression Omnibus

Systematic tissue annotations of genomics samples by modeling unstructured metadata


Python interface for the simple global climate carbon-cycle model Hector

pyhector: A Python interface for the simple climate model Hector


Multivariate functional reconstruction using finite fields and dataflow graphs.

FiniteFlow: multivariate functional reconstruction using finite fields and dataflow graphs

AMFlow: A Mathematica package for Feynman integrals computation via auxiliary mass flow

Macaulay matrix for Feynman integrals: linear relations and intersection numbers

Restrictions of Pfaffian systems for Feynman integrals

FiniteFieldSolve: Exactly solving large linear systems in high-energy theory


MVMR R Package

Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization

Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity

Is genetic liability to ADHD and ASD causally linked to educational attainment?

Investigating Casual Associations among Gut Microbiota, Metabolites and Neurodegenerative Diseases: A Mendelian Randomization Study

Socioeconomic status and severe mental disorders: a bidirectional multivariable Mendelian randomisation study

Prioritizing Causal Risk Factors for Severe&nbsp;COVID-19: An Exhaustive Mendelian Randomization Study

The relationship between BMI and COVID-19: exploring misclassification and selection bias in a two-sample Mendelian randomisation study


A PyTorch implementation of Attention is all you need

Attention Is All You Need

Initialization and Regularization of Factorized Neural Layers

Double Path Networks for Sequence to Sequence Learning


An R package for hierarchical clustering with p-values

A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma

Computational and structural biotechnology journal

How to Render Species Comparable Taxonomic Units Through Deep Time: A Case Study on Intraspecific Osteological Variability in Extant and Extinct Lacertid Lizards

Database of space life investigations and bioinformatics of microbiology in extreme environments

Unrelated Fungal Rust Candidate Effectors Act on Overlapping Plant Functions

Protein interaction network analysis of mTOR signaling reveals modular organization


Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.

Densely Connected Convolutional Networks

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

An annotation-based approach for finding bugs in neural network programs


Yet Another (natural language) Parser

Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich Languages and Universal Dependencies

International Conference on Computational Linguistics

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

The Hebrew Universal Dependency Treebank: Past Present and Future

Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task


Generate unique KMERs for every contig in a FASTA file

A computational toolset for rapid identification of SARS-CoV-2, other viruses and microorganisms from sequencing data

Unexpected novel Merbecovirus discoveries in agricultural sequencing datasets from Wuhan, China

Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution


Ultimate ATAC-seq Data Processing & Quantification Workflow. A Snakemake implementation of the BSF's ATAC-seq Data Processing Pipeline extended by downstream quantification and annotation steps using bash and Python.

Fast gapped-read alignment with Bowtie 2

fastp: an ultra-fast all-in-one FASTQ preprocessor

Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities

A scaling normalization method for differential expression analysis of RNA-seq data

UMAP: Uniform Manifold Approximation and Projection

deepTools2: a next generation web server for deep-sequencing data analysis

MultiQC: summarize analysis results for multiple tools and samples in a single report

SCANPY: large-scale single-cell gene expression data analysis

seaborn: statistical data visualization

The ENCODE Blacklist: Identification of Problematic Regions of the Genome


Learning from synthetic data - code and models

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Scaling Laws of Synthetic Images for Model Training ... for Now

Learning Vision from Models Rivals Learning Vision from Data


Benchmark for evaluating open-ended generation

BLEURT: Learning Robust Metrics for Text Generation

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics

CLSEG: Contrastive Learning of Story Ending Generation


This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".

Deep Anomaly Detection Using Geometric Transformations

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

Towards Practical Unsupervised Anomaly Detection on Retinal Images

Medical Image Computing and Computer-Assisted Intervention

Perceptual Image Anomaly Detection


JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

Approaching complexity by stochastic methods: From biological systems to turbulence

kramersmoyal: Kramers--Moyal coefficients for stochastic processes

Arbitrary-order finite-time corrections for the Kramers-Moyal operator

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets


A benchmarking suite for maximum independent set solvers.

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Learning What to Defer for Maximum Independent Sets

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization


Training GANs with Optimism

A Convergent and Dimension-Independent First-Order Algorithm for Min-Max Optimization

A Convergent and Dimension-Independent Min-Max Optimization Algorithm


A Python package for hubness analysis and high-dimensional data mining

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces

Fast Approximate Hubness Reduction for Large High-Dimensional Data

International Conference on Big Knowledge

scikit-hubness: Hubness Reduction and Approximate Neighbor Search


Graph Filter Neural Network (ICPR'20)

Deep Learning on Graphs: A Survey

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Revisiting Graph Neural Networks: Graph Filtering Perspective

International Conference on Pattern Recognition


Realistic Lens Blur/Chromatic Aberration Filter

RGB cameras failures and their effects in autonomous driving applications

Robust Traffic Sign Recognition Against Camera Failures

IEEE Open Journal of Intelligent Transportation Systems


Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs

Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs

Human sperm displays rapid responses to diet

SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA- and tRNA-derived Small RNAs

基因组蛋白质组与生物信息学报

Angiogenin mediates paternal inflammation-induced metabolic disorders in offspring through sperm tsRNAs

Emerging evidence that the mammalian sperm epigenome serves as a template for embryo development

Paternal multigenerational exposure to an obesogenic diet drives epigenetic predisposition to metabolic diseases in mice

Testicular “Inherited Metabolic Memory” of Ancestral High-Fat Diet Is Associated with Sperm sncRNA Content

Intergenerational effect of short-term spaceflight in mice

Paternal High-Protein Diet Programs Offspring Insulin Sensitivity in a Sex-Specific Manner

tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application


PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

Microsoft COCO: Common Objects in Context

Noise2Noise: Learning Image Restoration without Clean Data

Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy


Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

Training for Speech Recognition on Coprocessors

Lexicon and Attention based Handwritten Text Recognition System


Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Improving Knowledge Graph Embedding Using Simple Constraints


Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from  reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.


BigVGAN: A Universal Neural Vocoder with Large-Scale Training

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

Sequence-to-Sequence Voice Reconstruction for Silent Speech in a Tonal Language


Lung and Colon Cancer Histopathological Image Dataset (LC25000)

A Hybrid Framework for Lung Cancer Classification

Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing

Computational Pathology: A Survey Review and The Way Forward


Few-Shot Learning with Localization in Realistic Settings

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Learning from Few Samples: A Survey


Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

A Simple Framework for Uncertainty in Contrastive Learning

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder


This project is special for SemEval2020 task4 Commonsense Validation and Explanantion

Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

SemEval-2020 Task 4: Commonsense Validation and Explanation

Is this sentence valid? An Arabic Dataset for Commonsense Validation

A Benchmark Arabic Dataset for Commonsense Explanation

HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding

International Workshop on Semantic Evaluation

NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation


Tools to Conduct Meteorological Normalisation on Air Quality Data

A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region


LOcal Rule-based Exlanations

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

counterfactuals: An R Package for Counterfactual Explanation Methods

Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence


DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score


[WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance

Findings of the Association for Computational Linguistics: ACL 2023


Co-Scale Conv-Attentional Image Transformers

All Tokens Matter: Token Labeling for Training Better Vision Transformers

IoU-aware Single-stage Object Detector for Accurate Localization

ViDT: An Efficient and Effective Fully Transformer-based Object Detector

An Extendable, Efficient and Effective Transformer-based Object Detector


A tool for generating consensus long-read assemblies for bacterial genomes

Trycycler: consensus long-read assemblies for bacterial genomes

Plasmid-Borne and Chromosomal ESBL/AmpC Genes in Escherichia coli and Klebsiella pneumoniae in Global Food Products

High-quality bacterial genomes of a partial-nitritation/anammox system by an iterative hybrid assembly method

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates


When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Rethinking Transformers in Solving POMDPs


Experiment code for the ACL 2020 paper "Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders".

Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary

SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation


A significantly higher label quality version of the popular TACRED dataset

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Generative Prompt Tuning for Relation Classification

Semi-supervised Relation Extraction via Data Augmentation and Consistency-training

Retrieval-Augmented Generation-based Relation Extraction

Recognizing Everything from All Modalities at Once: Grounded Multimodal
  Universal Information Extraction

Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks


Official code of The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Learning Delicate Local Representations for Multi-Person Pose Estimation

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems

AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation

3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera

How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue.


Implementation of Bootstrap DQN and Randomized Prior Functions on ALE

Deep Exploration via Bootstrapped DQN

Randomized Prior Functions for Deep Reinforcement Learning

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Posterior Sampling for Deep Reinforcement Learning


Russian language support for NLTK's PunktSentenceTokenizer

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

A Comparative Study of Educational Texts for Native, Foreign, and Bilingual Young Speakers of Russian: Are Simplified Texts Equally Simple?

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


Connectivity between the World Wide Charging Protocol (WWCP) and the Open Charge Point Protocol (OCPP v1.6/v2.0.1/v2.1).


PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"

Cold Start Streaming Learning for Deep Networks


Global soil respiration database

A restructured and updated global soil respiration database (SRDB-V5)

Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

Global variability of belowground autotrophic respiration in terrestrial ecosystems

Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes


PyTorch Implementation of MADDPG (Lowe et. al. 2017)

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

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Regularized Softmax Deep Multi-Agent Q-Learning

MADiff: Offline Multi-agent Learning with Diffusion Models

Correcting Experience Replay for Multi-Agent Communication


Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Backdoor Cleansing with Unlabeled Data

Fisher Information guided Purification against Backdoor Attacks


Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation

ACM Transactions on Asian and Low-Resource Language Information Processing

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Low-Resource Response Generation with Template Prior

Empirical Methods in Natural Language Processing

Relevance-Promoting Language Model for Short-Text Conversation

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


A dataset containing story plots from Wikipedia (books, movies, etc.) and the code for the extractor.

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer

Unfamiliar Finetuning Examples Control How Language Models Hallucinate

Towards Coherent and Consistent Use of Entities in Narrative Generation

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding

StoryDB: Broad Multi-language Narrative Dataset


A Detection Toolbox for Tensorflow2

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

Mask R-CNN

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Rethinking Atrous Convolution for Semantic Image Segmentation

Wide Residual Networks


Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks" (Python3)

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models

MeetSum: Transforming Meeting Transcript Summarization using Transformers!


The released code of ReluVal in USENIX Security 2018

Formal Security Analysis of Neural Networks using Symbolic Intervals

Efficient Formal Safety Analysis of Neural Networks

Verifying Quantized Neural Networks using SMT-Based Model Checking


Deep Learning on Graphs: A Survey

3D Graph Neural Networks for RGBD Semantic Segmentation

International Conference on Computer Vision


X-Class: Text Classification with Extremely Weak Supervision

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision

Towards Weakly-Supervised Hate Speech Classification Across Datasets


Extended Complexity Library in R

How Complex is your classification problem? A survey on measuring classification complexity

Better than classical? The subtle art of benchmarking quantum machine
  learning models

Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models

problexity -- an open-source Python library for binary classification problem complexity assessment


Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Mist: Towards Improved Adversarial Examples for Diffusion Models

Improving Adversarial Attacks on Latent Diffusion Model


A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

Stock Movement Prediction from Tweets and Historical Prices

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

The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Incorporating Transformers and Attention Networks for Stock Movement Prediction

Fundamental Analysis Based Neural Network for Stock Movement Prediction


Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Semi-Supervised Learning with Deep Generative Models

Categorical Reparameterization with Gumbel-Softmax

Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial


Safe Exploration in Continuous Action Spaces

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Learning to Walk in the Real World with Minimal Human Effort

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving


code to show F-Principle in the DNN training

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Training behavior of deep neural network in frequency domain

Theory of the Frequency Principle for General Deep Neural Networks

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks


PiDRAM is the first flexible end-to-end framework that enables system integration studies and evaluation of real Processing-using-Memory techniques. Prototype on a RISC-V rocket chip system implemented on an FPGA. Described in our paper: https://arxiv.org/abs/2111.00082

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


Multilingual/multidomain question generation datasets, models, and python library for question generation.

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

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Generative Language Models for Paragraph-Level Question Generation

An Empirical Comparison of LM-based Question and Answer Generation Methods

A Practical Toolkit for Multilingual Question and Answer Generation


A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Developing and deploying deep learning models in brain MRI: a review

Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning


NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Interpretable Distribution Features with Maximum Testing Power

On the Use of Random Forest for Two-Sample Testing

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations

Two-sample Test with Kernel Projected Wasserstein Distance

Comparing distributions: ℓ_1 geometry improves kernel two-sample testing

A Fast and Effective Large-Scale Two-Sample Test Based on Kernels


Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

Improving robustness against common corruptions by covariate shift adaptation

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations


stream processing reading list

S-Store: Streaming Meets Transaction Processing

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

LightSaber: Efficient Window Aggregation on Multi-core Processors

Parallel Index-based Stream Join on a Multicore CPU

DEBS - FlowDB: Integrating Stream Processing and Consistent State Management

Hardware-Conscious Stream Processing: A Survey

A Scalable Software Framework for Stateful Stream Data Processing on Multiple GPUs and Applications

Deterministic Model for Distributed Speculative Stream Processing

Symposium on Advances in Databases and Information Systems


Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper: https://arxiv.org/abs/2110.09958

FSD50K: An Open Dataset of Human-Labeled Sound Events

FMA: A Dataset For Music Analysis

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks


This is a dataset for fake news detection research

Fake News Detection on Social Media: A Data Mining Perspective

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

SAFE: Similarity-Aware Multi-Modal Fake News Detection

Fake News Early Detection: A Theory-driven Model

Sentiment Analysis for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Disinformation, Misinformation, and Fake News in Social Media

NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Combating disinformation in a social media age


Official implementation of "On GANs and GMMs"

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

On GANs and GMMs

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff


Bridging Research and Practice with PyTorch

SimMIM: A Simple Framework for Masked Image Modeling

GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations

SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Understanding the Role of the Projector in Knowledge Distillation

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens

MixMobileNet: A Mixed Mobile Network for Edge Vision Applications


Deep network that performs spectral clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Deep Kernel Learning for Clustering

Deep Clustering With Consensus Representations

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE

TC-DWA:Text Clustering with Dual Word-Level Augmentation

Proceedings of the AAAI Conference on Artificial Intelligence


SCANPY: large-scale single-cell gene expression data analysis

SPRING: a kinetic interface for visualizing high dimensional single-cell expression data

NGN2 induces diverse neuron types from human pluripotency

Deep Learning in Single-Cell Analysis


Open Data Commons Open Database License v1.0

Cross-lingual metaphor detection.

Metaphor Detection with Cross-Lingual Model Transfer

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Evaluation of Word Vector Representations by Subspace Alignment

FakeFlow: Fake News Detection by Modeling the Flow of Affective Information

Contextual Modulation for Relation-Level Metaphor Identification

Exploring Metaphorical Senses and Word Representations for Identifying Metonyms

Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification

Meeting of the Association for Computational Linguistics


[EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Batch Prompting: Efficient Inference with Large Language Model APIs

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning


Japanese CLIP by rinna Co., Ltd.

Learning Transferable Visual Models From Natural Language Supervision

LAION-5B: An open large-scale dataset for training next generation image-text models

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation


Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation

Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding


The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".

Semantic-Aware Implicit Template Learning via Part Deformation Consistency


Code of Dense Relational Captioning

Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning

Dense Relational Image Captioning via Multi-task Triple-Stream Networks


Reinforcement Learning via Supervised Learning

RvS: What is Essential for Offline RL via Supervised Learning?

Direct Preference-based Policy Optimization without Reward Modeling

Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning


Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning

Backdoor Contrastive Learning via Bi-level Trigger Optimization


This repository is the official implementation of "DTL: Disentangled Transfer Learning for Visual Recognition", which is accepted by AAAI 2024.

LoRA: Low-Rank Adaptation of Large Language Models

Parameter-Efficient Transfer Learning for NLP

Visual Prompt Tuning


Max-value Entropy Search for Efficient Bayesian Optimization

Adversarially Robust Optimization with Gaussian Processes

Multi-Fidelity Bayesian Optimization via Deep Neural Networks

On a New Improvement-Based Acquisition Function for Bayesian Optimization

Surrogate modeling for Bayesian optimization beyond a single Gaussian process

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures

Modulating Surrogates for Bayesian Optimization

Robust expected improvement for Bayesian optimization


A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax

EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives


Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models


A pure pytorch implemented ocr project including text detection and recognition

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Detecting Text in Natural Image with Connectionist Text Proposal Network

MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model


Mapping pipeline for data generated using Arima-HiC

Integrating Hi-C links with assembly graphs for chromosome-scale assembly

Six reference-quality genomes reveal evolution of bat adaptations

Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation

Chromosome-scale genome assembly of sweet cherry (Prunus avium L.) cv. Tieton obtained using long-read and Hi-C sequencing

Multifaceted Hi-C benchmarking: what makes a difference in chromosome-scale genome scaffolding?

Austropuccinia psidii, causing myrtle rust, has a gigabase-sized genome shaped by transposable elements

Chromosome-level assembly of the Caenorhabditis remanei genome reveals conserved patterns of nematode genome organization

Chromosome-scale assembly comparison of the Korean Reference Genome KOREF from PromethION and PacBio with Hi-C mapping information

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)


Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Learning Latent Relations for Temporal Knowledge Graph Reasoning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


My collection of light bioinformatics analysis pipelines for specific tasks

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Escape from Preferential Retention Following Repeated Whole Genome Duplications in Plants

A high-quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance

Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum

Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution

Comprehensive analysis of bZIP transcription factors uncovers their roles during dimorphic floret differentiation and stress response in Cleistogenes songorica

Genome-wide identification and expression analysis of the ERF transcription factor family in pineapple (Ananas comosus (L.) Merr.)

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

Identification, Characterization and Function of Orphan Genes Among the Current Cucurbitaceae Genomes

Muntjac chromosome evolution and architecture


Max-margin DeepWalk

A Survey on Network Embedding

Network Representation Learning: A Survey

Max-Margin DeepWalk: Discriminative Learning of Network Representation

International Joint Conference on Artificial Intelligence

Force-directed graph embedding with hops distance


The StarCraft Multi-Agent Challenge

Deep Coordination Graphs

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent
  Reinforcement Learning


Code for paper "Attention on Attention for Image Captioning". ICCV 2019

Self-critical Sequence Training for Image Captioning

Image Captioning through Image Transformer

Show, Edit and Tell: A Framework for Editing Image Captions

Text Augmentation Using BERT for Image Captioning

Towards Unique and Informative Captioning of Images

Multi-Modal Image Captioning for the Visually Impaired

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning


Biological Age Calculations Using Several Biomarker Algorithms

DunedinPACE, a DNA methylation biomarker of the pace of aging

A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge

Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants

Effect of dietary inflammatory potential on the aging acceleration for cardiometabolic disease: A population-based study

Early-life tobacco smoke exposure and stroke risk: a prospective study of 341,783 and 352,737 UK Biobank participants

Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson’s disease: findings from a large Italian population cohort


A tool for Racon polishing of miniasm assemblies

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle

Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types

Prevalence and Molecular Characterization of Methicillin-Resistant Staphylococci (MRS) and Mammaliicocci (MRM) in Dromedary Camels from Algeria: First Detection of SCCmec-mecC Hybrid in Methicillin-Resistant Mammaliicoccus lentus

Bifidobacterium longumsubsp. longumBG-L47 boosts growth and activity ofLimosilactobacillus reuteriDSM 17938 and its extracellular membrane vesicles

Adaptation of a fluoroquinolone-sensitive Shigella sonnei to norfloxacin exposure

Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data

Frontiers in cellular and infection microbiology


Behavior From the Void: Unsupervised Active Pre-Training

URLB: Unsupervised Reinforcement Learning Benchmark

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

A Mixture of Surprises for Unsupervised Reinforcement Learning

Learning to Discover Skills through Guidance

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning


A curated list of scene graph generation and related area resources. :-)

Annotating Objects and Relations in User-Generated Videos

International Conference on Multimedia Retrieval

Video Visual Relation Detection

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Video Relation Detection with Spatio-Temporal Graph

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

CRA-Net: Composed Relation Attention Network for Visual Question Answering

Scene Graph Generation: A Comprehensive Survey

Video Visual Relation Detection via Multi-modal Feature Fusion

Image Captioning with Scene-graph Based Semantic Concepts

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Visual Spatial Attention Network for Relationship Detection

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Relation Understanding in Videos

One-shot Scene Graph Generation


[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction


N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

SwinIR: Image Restoration Using Swin Transformer

Swin Transformer V2: Scaling Up Capacity and Resolution


A PyTorch implementation of L-BFGS.

SAMBA: Safe Model-Based & Active Reinforcement Learning

When are Iterative Gaussian Processes Reliably Accurate?

Deep kernel learning for integral measurements

Statistically equivalent surrogate material models: Impact of random imperfections on the elasto-plastic response

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP

An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training

Iterative Reconstruction of the Electron Density and Effective Atomic Number using a Non-Linear Forward Model

Maximum Likelihood Based Phase-Retrieval Using Fresnel Propagation Forward Models With Optional Constraints


VGGFace2: A dataset for recognising faces across pose and age

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

Real masks and spoof faces: On the masked face presentation attack detection

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results

Towards a Reliable Face Recognition System

Proceedings of the international neural networks society

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes


DAMOV is a benchmark suite and a methodical framework targeting the study of data movement bottlenecks in modern applications. It is intended to study new architectures, such as near-data processing. Described by Oliveira et al. (preliminary version at https://arxiv.org/pdf/2105.03725.pdf)

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture

MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput,
  Energy-Efficient and Programmer-Transparent Multiple-Instruction
  Multiple-Data Processing

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures


Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh

Fundamentally Understanding and Solving RowHammer

Proceedings of the 28th Asia and South Pacific Design Automation Conference

X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands

Don't Knock! Rowhammer at the Backdoor of DNN Models

RAMPART: RowHammer Mitigation and Repair for Server Memory Systems


FilterAugment: An Acoustic Environmental Data Augmentation Method

Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection

Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4


Character-level Convolutional Networks for Text Classification

Text Understanding from Scratch

Deep Learning-Based Sentiment Classification: A Comparative Survey

Taxonomic Classification for Living Organisms Using Convolutional Neural Networks

Decoder Tuning: Efficient Language Understanding as Decoding

Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?


Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Conditional Sig-Wasserstein GANs for Time Series Generation

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

Manifold Topology Divergence: a Framework for Comparing Data Manifolds

Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)

Time-series Generation by Contrastive Imitation

Time Series Generation with Masked Autoencoder


Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

HofstadterTools: A Python package for analyzing the Hofstadter model

Heisenberg Spin-1/2 Antiferromagnetic Molecular Chains

Self-doped flat band and spin-triplet superconductivity in monolayer 1T-TaSe2−x Te x

Noncontact Andreev Reflection as a Direct Probe of Superconductivity on the Atomic Scale.

Vacancy-induced localized modes and impurity band formation in the Haldane model: a quantum dot analogy

Effects of electron-electron interactions in the Yu-Shiba-Rusinov lattice model

Backscattering of topologically protected helical edge states by line defects


This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.

Illiterate DALL-E Learns to Compose

Bridging the Gap to Real-World Object-Centric Learning

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation


Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Graph Neural Network for Traffic Forecasting: A Survey

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

IEEE transactions on pattern analysis and machine intelligence

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Transportation Research Part C: Emerging Technologies

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Inductive Graph Neural Networks for Spatiotemporal Kriging

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

A Comprehensive Survey on Traffic Prediction.


ARC Question Solvers

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime


Data and Code for Reproducing "Global Relational Models of Source Code"

Global Relational Models of Source Code

International Conference on Learning Representations

A Survey of Learning-based Automated Program Repair

Understanding neural code intelligence through program simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

What does Transformer learn about source code?


Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Graph Self-Supervised Learning: A Survey

Towards Explanation for Unsupervised Graph-Level Representation Learning

Towards Generalised Pre-Training of Graph Models


Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

Critical Regularizations for Neural Surface Reconstruction in the Wild

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips


ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Interpretable Image Classification with Differentiable Prototypes Assignment

Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations


Python implementation of the Method of Moving Asymptotes (MMA)

Topology optimization including a model of the layer-by-layer additive manufacturing process

Computer Methods in Applied Mechanics and Engineering

Topology Optimization of self-contacting structures


[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Masked Autoencoders for Point Cloud Self-supervised Learning


Code for training PhysNet models

SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects

Choosing the right molecular machine learning potential

MLatom 2: An Integrative Platform for Atomistic Machine Learning

Machine Learning Models of Vibrating H2CO: Comparing Reproducing Kernels, FCHL, and PhysNet

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Impact of the characteristics of quantum chemical databases on machine learning predictions of tautomerization energies

Thermal and Vibrationally Activated Decomposition of the syn-CH_3CHOO Criegee Intermediate

Transfer-Learned Potential Energy Surfaces: Towards Microsecond-Scale Molecular Dynamics Simulations in the Gas Phase at CCSD(T) Quality

MP2 Is Not Good Enough: Transfer Learning ML Models for Accurate VPT2 Frequencies

Numerical Accuracy Matters: Applications of Machine Learned Potential Energy Surfaces


Pytorch Implementation of OpenAI's PixelCNN++

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Input complexity and out-of-distribution detection with likelihood-based generative models

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors

Unsupervised Out-of-Distribution Detection with Batch Normalization

Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics

Predictive Sampling with Forecasting Autoregressive Models

On the relation between statistical learning and perceptual distances

Model-agnostic out-of-distribution detection using combined statistical tests

Deep Learning-based Image Compression with Trellis Coded Quantization


Semantic parsers based on encoder-decoder framework

Meta-Learning to Compositionally Generalize

Learning to Synthesize Data for Semantic Parsing

Structured Reordering for Modeling Latent Alignments in Sequence Transduction

Learning from Executions for Semantic Parsing


FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Few-Shot Video Object Detection

Few-Shot Object Detection with Model Calibration

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

Ensemble Soft-Margin Softmax Loss for Image Classification


TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

High-Performance Large-Scale Image Recognition Without Normalization

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP


[ACM MM 2020] CCD dataset for traffic accident anticipation.

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

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

When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

Vision-Based Traffic Accident Detection and Anticipation: A Survey

Threat Detection In Self-Driving Vehicles Using Computer Vision


Microbial ecological network visualization clustering

ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts

Alterations in the Composition of Intestinal DNA Virome in Patients With COVID-19

The impact of aquaculture system on the microbiome and gut metabolome of juvenile Chinese softshell turtle (Pelodiscus sinensis)

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

Biochar Addition Altered Bacterial Community and Improved Photosynthetic Rate of Seagrass: A Mesocosm Study of Seagrass Thalassia hemprichii

Multi-omics profiling reveal responses of three major Dendrobium species from different growth years to medicinal components


Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

Conformal prediction for time series

Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data

Conformal prediction set for time-series


We release a general framework for prompting LLMs to manipulate software in a closed-loop manner.

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models

SpreadsheetBench: Towards Challenging Real World Spreadsheet
  Manipulation


Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Early Stopping for Deep Image Prior

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors


MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

Progressive Class Semantic Matching for Semi-supervised Text Classification

Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization

Findings of the Association for Computational Linguistics: EMNLP 2021

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification


Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Graph Learning based Recommender Systems: A Review

Relational Message Passing for Knowledge Graph Completion

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)


This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning

Unlocking Emergent Modularity in Large Language Models


(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Multi-Space Alignments Towards Universal LiDAR Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


Reference-based variant calling pipeline for a pair of phased haplotype assemblies

Semi-automated assembly of high-quality diploid human reference genomes

Curated variation benchmarks for challenging medically relevant autosomal genes

The design and construction of reference pangenome graphs

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology


The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".

Deep Intellectual Property Protection: A Survey

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)


On the Effectiveness of Least Squares Generative Adversarial Networks

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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


A tool that detects honeypots in Ethereum smart contracts :honey_pot: (USENIX 2019).

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

A Data Science Approach for Honeypot Detection in Ethereum

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts

Vulnerability and Transaction behavior based detection of Malicious Smart Contracts

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

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution


GLSL surface rendering source code. Compiled versions available from NITRC. Loads 3DS, CTM, DXF, FreeSurfer, GII (GIfTI), GTS, LWO2, MS3D, MZ3, NV (BrainNetViewer), OBJ, OFF, PLY, STL, VTK. Tractography formats include BFloat, PDB, TCK, TRK, and VTK. Also NIfTI format voxelwise images.

Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study

Cortical and white matter correlates of language‐learning aptitudes

Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits

Betting on Non-Invasive Brain Stimulation to Treat Gambling Disorder: A Systematic Review and Meta-Analysis

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving


source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Interventional Few-Shot Learning

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Regularizing Meta-Learning via Gradient Dropout

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning


MATLAB-based solver package of Maxwell's equations by the FDFD method

Inverse design of large-area metasurfaces

Nanophotonic media for artificial neural inference

Linearized 3-D Electromagnetic Contrast Source Inversion and Its Applications to Half-Space Configurations

IEEE Transactions on Geoscience and Remote Sensing

Cross-Correlated Contrast Source Inversion

IEEE Transactions on Antennas and Propagation

Optical analogues to the equatorial Kerr–Newman black hole


Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

Self-Knowledge Distillation with Progressive Refinement of Targets

FedADC: Accelerated Federated Learning with Drift Control

Rethinking Confidence Calibration for Failure Prediction

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Knowledge Evolution in Neural Networks


DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations


ConMask model described in paper Open-world Knowledge Graph Completion.

Open-World Knowledge Graph Completion

Open-world Machine Learning: Applications, Challenges, and Opportunities

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge

Do Similar Entities have Similar Embeddings?


Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

Graph-based Molecular Representation Learning

Hierarchical Molecular Graph Self-Supervised Learning for property prediction

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction


Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

GAIN: Missing Data Imputation using Generative Adversarial Nets

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Variational Autoencoder with Arbitrary Conditioning

Handling Missing Data with Graph Representation Learning

Missing Data Imputation using Optimal Transport

Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries

Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness

DEGAIN: Generative-Adversarial-Network-Based Missing Data Imputation


Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append

Optimal Repair Layering for Erasure-Coded Data Centers: From Theory to Practice

Repair Pipelining for Erasure-coded Storage: Algorithms and Evaluation

Repairing Reed-Solomon Codes

Efficient Storage Scaling for MBR and MSR Codes

SDCUP: Software-Defined-Control Based Erasure-Coded Collaborative Data Update Mechanism


DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization

Power Law in Sparsified Deep Neural Networks


Simple implementation of OpenAI CLIP model in PyTorch.

Learning Transferable Visual Models From Natural Language Supervision

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language

ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios

Exploring Contrastive Learning for Multimodal Detection of Misogynistic Memes

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)


OpenStego is a steganography application that provides two functionalities: a) Data Hiding: It can hide any data within an image file. b) Watermarking: Watermarking image files with an invisible signature. It can be used to detect unauthorized file copying.

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning
  Ecosystem

Open Image Content Disarm And Reconstruction

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack


Matlab code for all variants of robust PCA and SPCP

A variational approach to stable principal component pursuit

An ADMM Approach to Masked Signal Decomposition Using Subspace Representation

Subspace Learning in The Presence of Sparse Structured Outliers and Noise

Adaptive Quantile Low-Rank Matrix Factorization

Tensor Robust Principal Component Analysis: Better recovery with atomic norm regularization

Robust Dual-Graph Regularized Moving Object Detection


Gene fusion detection and visualization

GeneFuse: detection and visualization of target gene fusions from DNA sequencing data

International journal of biological sciences

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

MutScan: fast detection and visualization of target mutations by scanning FASTQ data

Molecular characterization of genomic breakpoints of ALK rearrangements in non-small cell lung cancer


Deep learning models and dataset for recognizing industrial smoke emissions

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

International Journal of Computer Vision

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

Timeception for Complex Action Recognition

Project RISE: Recognizing Industrial Smoke Emissions


Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).

Part-Based Models Improve Adversarial Robustness

Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception


Versatile End-to-End Recommender System

Inductive Representation Learning on Large Graphs

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

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

Session-based Recommendations with Recurrent Neural Networks

Deep Interest Network for Click-Through Rate Prediction


The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

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

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications

ArT: All-round Thinker for Unsupervised Commonsense Question-Answering


Creative Commons Attribution Share Alike 4.0 International

[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Trends, Limitations and Open Challenges in Automatic Readability Assessment Research

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time

Hybrid Models for Sentence Readability Assessment

Workshop on Innovative Use of NLP for Building Educational Applications


[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition


ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

ODE^2VAE: Deep generative second order ODEs with Bayesian neural networks

The Neural Process Family: Survey, Applications and Perspectives

Contrastive Conditional Neural Processes

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics

Adversarially Contrastive Estimation of Conditional Neural Processes


Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions"  (ICLR 2019)

Definitions, methods, and applications in interpretable machine learning

Proceedings of the National Academy of Sciences of the United States of America

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Interpreting and improving deep-learning models with reality checks


Unsupervised  Extractive Summarization based on Position-Augmented Centrality

Sentence Centrality Revisited for Unsupervised Summarization

TLDR: Extreme Summarization of Scientific Documents

Discourse-Aware Unsupervised Summarization of Long Scientific Documents

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization

GOAL: Towards Benchmarking Few-Shot Sports Game Summarization

Applicability of large language models and generative models for legal case judgement summarization


Heuristic Analysis for NLI Systems

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

Grounding Representation Similarity with Statistical Testing

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference


Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

Improving the Accuracy of Progress Indication for Constructing Deep Learning Models

IEEE access : practical innovations, open solutions

Deep Learning to Jointly Schema Match, Impute, and Transform Databases


Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review


Inception Score for GANs in Pytorch

Improved Techniques for Training GANs

A Note on the Inception Score

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

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis


Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

R-Drop: Regularized Dropout for Neural Networks

Token Shift Transformer for Video Classification

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Vision Transformer Hashing for Image Retrieval

Reveal of Vision Transformers Robustness against Adversarial Attacks

Training Transformers with 4-bit Integers

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification


SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation


Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis


Real time semantic slam in ROS with a hand held RGB-D camera

Exploration for Object Mapping Guided by Environmental Semantics using UAVs

From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art

Semantic Mapping with Low-Density Point-Clouds for Service Robots in Indoor Environments

Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM

O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit
  Representation


Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Graph Attention Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Inductive Representation Learning on Temporal Graphs

Representation Learning for Dynamic Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Stealing Links from Graph Neural Networks

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks


Model Fusion via Optimal Transport, NeurIPS 2020

Model Fusion via Optimal Transport

On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning


A Java implementation of the Acme Air Sample Application.

Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

Proactive Random-Forest Autoscaler for Microservice Resource Allocation

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture

Lessons learned from hyper-parameter tuning for microservice candidate identification

An Expert System for Redesigning Software for Cloud Applications

Container Density Improvements with Dynamic Memory Extension using NAND Flash


Detect doublets in single-cell RNA-seq data

An atlas of healthy and injured cell states and niches in the human kidney

Embryo model completes gastrulation to neurulation and organogenesis

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Selective Vulnerability of Layer 5a Corticostriatal Neurons in Huntington’s Disease

bioRxiv : the preprint server for biology

A single-cell time-lapse of mouse prenatal development from gastrula to birth

Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need

Cell-cell interactome of the hematopoietic niche and its changes in acute myeloid leukemia

Practical bioinformatics pipelines for single-cell RNA-seq data analysis

Development and validation of a prognostic model and gene co-expression networks for breast carcinoma based on scRNA-seq and bulk-seq data

Dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-experienced, checkpoint inhibitor colitis.


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

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Vulnerability Detection Technique: A Survey

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

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


Unifying cancer and normal RNA sequencing data from different sources

Lead DEAD/H box helicase biomarkers with the therapeutic potential identified by integrated bioinformatic approaches in lung cancer

Computational and structural biotechnology journal

Comprehensive analysis reveals signal and molecular mechanism of mitochondrial energy metabolism pathway in pancreatic cancer

Enabling cross-study analysis of RNA-Sequencing data

TROP2 is highly expressed in triple-negative breast cancer CTCs and is a potential marker for epithelial mesenchymal CTCs


Convert NCBI taxonomy dump into lineages

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

A comprehensive and quantitative exploration of thousands of viral genomes

A Comparison of Three Different Bioinformatics Analyses of the 16S–23S rRNA Encoding Region for Bacterial Identification

NAD+ biosynthesis in bacteria is controlled by global carbon/nitrogen levels via PII signaling

Proposal of Carbonactinosporaceae fam. nov. within the class Actinomycetia. Reclassification of Streptomyces thermoautotrophicus as Carbonactinospora thermoautotrophica gen. nov., comb. nov.

Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5ʹ End of ORFeomes

Transcriptome Analysis of Amyloodinium ocellatum Tomonts Revealed Basic Information on the Major Potential Virulence Factors


Score-based diffusion models for accelerated MRI

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging


Combinatorial optimization with physics-inspired graph neural networks

A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning

Combinatorial Optimization with Automated Graph Neural Networks


Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Deep Learning on Graphs: A Survey

Graph Random Neural Network for Semi-Supervised Learning on Graphs

Adversarial Attack and Defense on Graph Data: A Survey

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Graph Sanitation with Application to Node Classification

EDoG: Adversarial Edge Detection For Graph Neural Networks


Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever


a short-read polishing tool for long-read assemblies

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology

Bifidobacterium longumsubsp. longumBG-L47 boosts growth and activity ofLimosilactobacillus reuteriDSM 17938 and its extracellular membrane vesicles


PyTorch implementation of latent space reinforcement learning for E2E dialog published at  NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System


Creative Commons Attribution 4.0 International

Mobility changes in response to COVID-19, provided by Descartes Labs

Mobility Changes in Response to COVID-19

Impact of temperature and relative humidity on the transmission of COVID-19: a modelling study in China and the United States

Inter-Series Attention Model for COVID-19 Forecasting

The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control

medRxiv : the preprint server for health sciences

Change of human mobility during COVID-19: A United States case study

Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

Longitudinal and spatial analysis of Americans’ travel distances following COVID-19

Transportation research. Part D, Transport and environment

Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review

Residential racial segregation and social distancing in the United States during COVID-19

Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport


Re-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks

Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders

International Symposium on Chinese Spoken Language Processing

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

CVC: Contrastive Learning for Non-parallel Voice Conversion

WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) [In Chinese]

International Conference on Computational Linguistics


PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

Neural Fourier Transform: A General Approach to Equivariant Representation Learning


Pruning and other network surgery for trained Keras models.

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

Comprehensive Online Network Pruning via Learnable Scaling Factors


Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles

Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles

LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles


Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

TS2Vec: Towards Universal Representation of Time Series

Do We Really Need Deep Learning Models for Time Series Forecasting?

Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer

Deep Coupling Network For Multivariate Time Series Forecasting

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series


How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset

FlauBERT: Unsupervised Language Model Pre-training for French

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

Linear Transformations for Cross-lingual Sentiment Analysis


A Multi-modal Model Chinese Spell Checker Released on ACL2021.

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity

SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking

Block the Label and Noise: An N-Gram Masked Speller for Chinese Spell Checking

A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check


A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends

Automatic Hierarchical Attention Neural Network for Detecting AD

Learning to Answer Visual Questions from Web Videos

How do you correct run-on sentences it's not as easy as it seems

Comprehensive Punctuation Restoration for English and Polish

Findings of the Association for Computational Linguistics: EMNLP 2021


Documentation for Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT)

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study (Preprint)

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Mediated trust: A theoretical framework to address the trustworthiness of technological trust mediators

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

Privacy-preserving COVID-19 contact tracing using blockchain

Covid Notions: Towards Formal Definitions -- and Documented Understanding -- of Privacy Goals and Claimed Protection in Proximity-Tracing Services

Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App (Preprint)


Virus Identification By iteRative ANnoTation

VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences

VIBRANT: Automated recovery, annotation and curation of microbial viruses, and evaluation of virome function from genomic sequences

Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics

Current trends in RNA virus detection through metatranscriptome sequencing data

Unveiling Ecological and Genetic Novelty within Lytic and Lysogenic Viral Communities of Hot Spring Phototrophic Microbial Mats

Implications of oral streptococcal bacteriophages in autism spectrum disorder


This repository contains 47,398 smart contracts extracted from the Ethereum network.

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

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart
  Contracts


The official implementation of HierSpeech++

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

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

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis


Official repo for Discriminator Guidance.

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Training Unbiased Diffusion Models From Biased Dataset


Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning


Molecule Design using Monte Carlo Tree Search with Neural Rollout

ChemTS: An Efficient Python Library for de novo Molecular Generation

Science and technology of advanced materials

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications

Computational Approach for Molecular Design of Small Organic Molecules with High Hole Mobilities in Amorphous Phase Using Random Forest Technique and Computer Simulation Method

Gargoyles: An Open Source Graph-Based Molecular Optimization Method Based on Deep Reinforcement Learning

Practical Large-Scale Distributed Parallel Monte-Carlo Tree Search Applied to Molecular Design.


Pretrained language model with 100B parameters

Holistic Evaluation of Language Models

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

Effects of Generative Chatbots in Higher Education

On the application of Large Language Models for language teaching and assessment technology

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

LLM for SoC Security: A Paradigm Shift

GPT-SW3: An Autoregressive Language Model for the Nordic Languages


We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art

Empirical Methods in Natural Language Processing

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

BERN2: an advanced neural biomedical named entity recognition and normalization tool

BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA

Workshop on Biomedical Natural Language Processing

Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study


an R/shiny application for creation of Circos plot interactively

Molecular Epidemiology, Antibiotic Resistance, and Virulence Traits of Stenotrophomonas maltophilia Strains Associated With an Outbreak in a Mexican Tertiary Care Hospital

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

Gram-Negative ESKAPE Bacteria Surveillance in COVID-19 Pandemic Exposes High-Risk Sequence Types of Acinetobacter baumannii MDR in a Tertiary Care Hospital


An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com

A review of infant cry analysis and classification

EURASIP Journal on Audio, Speech, and Music Processing

Classification of Baby Cry Sound Using Higuchi’s Fractal Dimension with K-Nearest Neighbor and Support Vector Machine

A Comprehensive Literature Review on Children’s Databases for Machine Learning Applications

Weakly Supervised Detection of Baby Cry


Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep Residual Mixture Models

Kernel Stein Generative Modeling


Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Coarse-to-Fine Q-attention with Learned Path Ranking

Coarse-to-fine Q-attention with Tree Expansion


On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for neural networks in PyTorch.

Pruning Filters for Efficient ConvNets

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

Shapley Value as Principled Metric for Structured Network Pruning