MMBench: Is Your Multi-modal Model an All-around Player?

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

LawBench: Benchmarking Legal Knowledge of Large Language Models

Benchmarking Benchmark Leakage in Large Language Models

FLM-101B: An Open LLM and How to Train It with $100K Budget

ChartBench: A Benchmark for Complex Visual Reasoning in Charts

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision
  Models

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Enabling Ensemble Learning for Heterogeneous Large Language Models with
  Deep Parallel Collaboration

Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs


Deep Reinforcement Learning for Robotic Grasping from Octrees

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

Addressing Function Approximation Error in Actor-Critic Methods

Mastering Atari with Discrete World Models

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning


Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Backdoor Attack against NLP models with Robustness-Aware Perturbation defense


Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

ChEX: Interactive Localization and Region Description in Chest X-rays

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It


3rd place solution for the Deepfake Detection Challenge on Kaggle

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

Assessment Framework for Deepfake Detection in Real-world Situations

Robust Deepfake On Unrestricted Media: Generation And Detection

The defalsif-AI project: protecting critical infrastructures against disinformation and fake news

e+i Elektrotechnik und Informationstechnik

Cross-Domain Local Characteristic Enhanced Deepfake Video Detection


Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Exploring Global Information for Session-based Recommendation

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022

An Academic Text Recommendation Method Based on Graph Neural Network


Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.


EuroSAT: Land Use and Land Cover Classification with Sentinel-2

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing

IEEE Geoscience and Remote Sensing Letters

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Land Use and Land Cover Classification Using CNN, SVM, and Channel Squeeze & Spatial Excitation Block

IOP Conference Series: Earth and Environmental Science

Model Spider: Learning to Rank Pre-Trained Models Efficiently

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images

Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance


Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Adversarial Attacks on Neural Network Policies

Learning to Act by Predicting the Future


CBAM implementation on TensowFlow

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aggregated Residual Transformations for Deep Neural Networks


A library for finding knowledge neurons in pretrained transformer models.

Locating and Editing Factual Associations in GPT

Knowledge Neurons in Pretrained Transformers

Editing Large Language Models: Problems, Methods, and Opportunities

Analyzing Individual Neurons in Pre-trained Language Models

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Can Hurt General Abilities of Large Language Models

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks

Neighboring Perturbations of Knowledge Editing on Large Language Models

Finding patterns in Knowledge Attribution for Transformers


Code for Multi-Head Attention: Collaborate Instead of Concatenate

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

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations


Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

FaceForensics++: Learning to Detect Manipulated Facial Images

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


SOM-DST: Efficient Dialogue State Tracking by Selectively Overwriting Memory (ACL 2020)

MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation

Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Multi-Domain Dialogue State Tracking based on State Graph

Multi-Domain Dialogue State Tracking - A Purely Transformer-Based Generative Approach.


EsViT: Efficient self-supervised Vision Transformers

CvT: Introducing Convolutions to Vision Transformers

Focal Self-attention for Local-Global Interactions in Vision Transformers

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Efficient Self-supervised Vision Transformers for Representation Learning

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Model Spider: Learning to Rank Pre-Trained Models Efficiently

A Survey on Self-Supervised Representation Learning


Structural Variant Identification Method using Long Reads

SVIM: structural variant identification using mapped long reads

Long-read sequencing in human genetics

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

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


Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

On Centralized Critics in Multi-Agent Reinforcement Learning

Journal of Artificial Intelligence Research


Author's PyTorch implementation of TD3 for OpenAI gym tasks

Addressing Function Approximation Error in Actor-Critic Methods

A Minimalist Approach to Offline Reinforcement Learning

An Optimistic Perspective on Offline Reinforcement Learning

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Better Exploration with Optimistic Actor-Critic

Quasi-hyperbolic momentum and Adam for deep learning

Deep Reinforcement Learning for Indoor Mobile Robot Path Planning


K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Plug-and-Play Knowledge Injection for Pre-trained Language Models

What Has Been Enhanced in my Knowledge-Enhanced Language Model?


Learning to Auto-Complete using RNN Language Models

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Learning Python Code Suggestion with a Sparse Pointer Network

The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python


The reference implementation of "Multi-scale Attributed Node Embedding".  (Journal of Complex Networks 2021)

Multi-scale Attributed Node Embedding

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Evaluating Node Embeddings of Complex Networks

Feature Expansion for Graph Neural Networks

Scalable Deep Gaussian Markov Random Fields for General Graphs

Graph Distillation with Eigenbasis Matching

Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks


Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation


Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction


A Multi-Turn Dialogue Corpus based on Alpaca Instructions

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback

PhoGPT: Generative Pre-training for Vietnamese

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis

KAUCUS: Knowledge Augmented User Simulators for Training Language Model
  Assistants

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference

ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting


UCSC command line bioinformatic utilities

An atlas of dynamic chromatin landscapes in mouse fetal development

Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement

Platanus-allee is a de novo haplotype assembler enabling a comprehensive access to divergent heterozygous regions

Transcription-driven chromatin repression of Intragenic transcription start sites

Enhancer remodeling promotes tumor-initiating activity in NRF2-activated non-small cell lung cancers

Evolutionary history and pan-genome dynamics of strawberry (Fragaria spp.).

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

A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species

Neuroblast-specific open chromatin allows the temporal transcription factor, Hunchback, to bind neuroblast-specific loci

Adaptive sequence divergence forged new neurodevelopmental enhancers in humans

The transposable element-rich genome of the cereal pest Sitophilus oryzae


Code for the paper Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022 Outstanding Paper Award)

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

Fast Sampling of Diffusion Models with Exponential Integrator


Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Calibrated Model-Based Deep Reinforcement Learning

On-Policy Robot Imitation Learning from a Converging Supervisor

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks


Fast multi-line FASTA/Q reader in several programming languages

Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing

Whole-Genome Sequencing and Machine Learning Analysis of Staphylococcus aureus from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance

Comparative genomics and association analysis identifies virulence genes of Cercospora sojina in soybean

Comparison of PCR versus PCR-Free DNA Library Preparation for Characterising the Human Faecal Virome

Draft Genome Sequences of Three Fusarium oxysporum f. sp. niveum Isolates Used in Designing Markers for Race Differentiation

Pathogenetic characterization of a Micrococcus luteus strain isolated from an infant

Genome sequence and pathogenicity of Vibrio vulnificus strain MCCC 1A08743 isolated from contaminated prawns

Chloroplast genome of silverleaf nightshade (Solanum elaeagnifolium Cav.), a Weed of National Significance in Australia


Reflective DLL injection is a library injection technique in which the concept of reflective programming is employed to perform the loading of a library from memory into a host process.

Blockchain-Enabled Intrusion Detection and Prevention System of APTs Within Zero Trust Architecture


Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.

A Richly Annotated Dataset for Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

IEEE Transactions on Geoscience and Remote Sensing

A Mask-Guided Transformer Network with Topic Token for Remote Sensing Image Captioning

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures

Cross-modal retrieval of remote sensing images and text based on self-attention unsupervised deep common feature space


Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.

HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance

State of the Art of Quality Assessment of Facial Images


Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Rethinking the Pruning Criteria for Convolutional Neural Network

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck

Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks

Learning Distributions via Monte-Carlo Marginalization

TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation

Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks

Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees


This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective


BLEURT is a metric for Natural Language Generation based on transfer learning.

PaLM: Scaling Language Modeling with Pathways

BLEURT: Learning Robust Metrics for Text Generation

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

Learning Compact Metrics for MT

The unreasonable effectiveness of few-shot learning for machine translation

CoNT: Contrastive Neural Text Generation

Macro-Average: Rare Types Are Important Too


The global fossil fuel supply chain, mapped at the asset-level.


Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

Deep Learning for UAV-based Object Detection and Tracking: A Survey

Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy

Improving YOLOv7-Tiny for Infrared and Visible Light Image Object Detection on Drones


Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

Self Information Update for Large Language Models through Mitigating Exposure Bias

A Closer Look into Automatic Evaluation Using Large Language Models

Fusion-Eval: Integrating Evaluators with LLMs

Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison


Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

A Plug&Play P300 BCI Using Information Geometry

On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study


POCO: Point Convolution for Surface Reconstruction

Neural Kernel Surface Reconstruction

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction


Robust PCA implementation and examples (Matlab)

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices

Change Detection in UWB SAR Images Based on Robust Principal Component Analysis

A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis

Handling Slice Permutations Variability in Tensor Recovery

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

Bilinear Attention Networks


IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests

Computational intelligence and neuroscience

IoT-enabled Pest Identification and Classification with New Meta-Heuristic-based Deep Learning Framework

Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion

Pests Identification of IP102 by YOLOv5 Embedded with the Novel Lightweight Module

A YOLOv7 incorporating the Adan optimizer based corn pests identification method


[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Consistency Regularization for Domain Adaptation


Mechanical Turk on your own machine.

Large Language Models and Simple, Stupid Bugs

Can machine learning improve patient selection for cardiac resynchronization therapy?

Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media

Advancing Data for Street-level Flood Vulnerability: Extraction of Variables from Google Street View in Quito, Ecuador


[NeurIPS'19] Deep Equilibrium Models

Deep Equilibrium Models

Multiscale Deep Equilibrium Models

On Training Implicit Models

Stabilizing Equilibrium Models by Jacobian Regularization

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

Test like you Train in Implicit Deep Learning

Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation


ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition

3D-FM GAN: Towards 3D-Controllable Face Manipulation

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Synthetic Data for the Mitigation of Demographic Biases in Face Recognition

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

Livestock Identification Using Deep Learning for Traceability

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model

Face representation by deep learning: a linear encoding in a parameter space?


About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology


Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

Deep Learning on Graphs: A Survey


Edge-Conditioned Convolutions on Graphs

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Hierarchical Bipartite Graph Convolution Networks

State of the Art and Potentialities of Graph-level Learning

Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back


Online Decision Transformer

Online Decision Transformer

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Future-conditioned Unsupervised Pretraining for Decision Transformer

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Reinformer: Max-Return Sequence Modeling for Offline RL


Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"

Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking

Controllable Dialogue Simulation with In-Context Learning

Diable: Efficient Dialogue State Tracking as Operations on Tables

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning


[CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

Continual Test-Time Domain Adaptation

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Robust Test-Time Adaptation in Dynamic Scenarios

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

DELTA: degradation-free fully test-time adaptation

RDumb: A simple approach that questions our progress in continual test-time adaptation

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

Test-Time Model Adaptation with Only Forward Passes


Implementation of PoseNet

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Modelling Uncertainty in Deep Learning for Camera Relocalization

Introduction to Camera Pose Estimation with Deep Learning

RPNet: an End-to-End Network for Relative Camera Pose Estimation


Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

A topological insight into restricted Boltzmann machines

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Topological Insights into Sparse Neural Networks

Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

On improving deep learning generalization with adaptive sparse connectivity

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

Computer systems science and engineering

Group-Connected Multilayer Perceptron Networks


Language Models Can See: Plugging Visual Controls in Text Generation

A Contrastive Framework for Neural Text Generation

ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles


ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network With IP Protection for Internet of Things

On-Device Learning with Binary Neural Networks

Input Layer Binarization with Bit-Plane Encoding


MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models
  for Integrated Capabilities


CNNs for sentence classification

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Word Embeddings and Their Use In Sentence Classification Tasks

An Attention-Gated Convolutional Neural Network for Sentence Classification

Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding

Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

On the Downstream Performance of Compressed Word Embeddings

Domain Adaptation for Resume Classification Using Convolutional Neural Networks


Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer

Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features

Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review

Block shuffling learning for Deepfake Detection

Numerical Analysis and Optimization Application Trend of Deepfake Video Inspection Technology

Multisemantic Path Neural Network for Deepfake Detection

Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence


20x Real-time superpixel SLIC Implementation with CPU

Part-aware Prototype Network for Few-shot Semantic Segmentation

FocalClick: Towards Practical Interactive Image Segmentation

SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

GraphVid: It Only Takes a Few Nodes to Understand a Video

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction


[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

SLEDGE: Synthesizing Simulation Environments for Driving Agents with
  Generative Models

End-to-End Autonomous Driving without Costly Modularization and 3D
  Manual Annotation


Official BraTS 2023 Segmentation Performance Metrics

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation
  on Post-treatment MRI

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023


This is the source code for the following website.

Distance measures in gravitational-wave astrophysics and cosmology

Jumping the Gap: Searching for LIGO’s Biggest Black Holes

Limits on runaway growth of intermediate mass black holes from advanced LIGO

The afterglow of GW170817 from every angle: prospects for detecting the afterglows of binary neutron star mergers


Original Full Repository of the Paper: "Domain-Adaptive Self-Supervised Pre-training for Face & Body Detection in Drawings"

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

Object Detection for Comics using Manga109 Annotations

ACFD: Asymmetric Cartoon Face Detector

Domain-Adaptive Self-Supervised Face & Body Detection in Drawings


Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong in Meta-RL (Beck et al., 2023)


Learning with Partial Supervision

Structured Prediction with Partial Labelling through the Infimum Loss

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

Disambiguation of weak supervision with exponential convergence rates


Learning from Indirect Observations

Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization

Learning from Aggregate Observations

Approximating Instance-Dependent Noise via Instance-Confidence Embedding

Learning from Indirect Observations


Masks recombinant regions in an alignment based on ClonalFrameML output

Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Whole-genome sequencing reveals transmission of gonococcal antibiotic resistance among men who have sex with men: an observational study

The changing landscape of vancomycin-resistant Enterococcus faecium in Australia: a population-level genomic study

The Journal of antimicrobial chemotherapy

Quantifying bacterial evolution in the wild: A birthday problem for Campylobacter lineages

Using Genomics To Investigate an Outbreak of Vancomycin-Resistant Enterococcus faecium ST78 at a Large Tertiary Hospital in Queensland


Code for the paper "Approximating full conformal prediction at scale via influence functions""

Uncertainty Sets for Image Classifiers using Conformal Prediction

Classification with Valid and Adaptive Coverage

Approximating Full Conformal Prediction at Scale via Influence Functions


The analysis of satellite imagery can provide vital insights in various corporate and governmental application areas. Semantic segmentation of satellite imagery provides dense pixel-wise knowledge, which is necessary to facilitate such analysis. Deep convolutional neural networks are state of the art, when it comes to semantic segmentation of digital images. However, characteristics unique to satellite imagery like their high-resolution, multi-channel input and limited availability of data-sets challenge the designing, parametrizing and training of the neural network model.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs


About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

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

Structured Pruning Learns Compact and Accurate Models


An Online Algorithm for Constrained Face Clustering in Videos

International Conference on Information Photonics

Dynamic Character Graph via Online Face Clustering for Movie Analysis

A Bibliographic View on Constrained Clustering


Imaging the dynamics of magma propagation using radiated seismic intensity

Relative Source Locations of Continuous Tremor Before and After the Subplinian Events at Shinmoe‐dake, in 2011

Amplitude Source Location Method With Depth‐Dependent Scattering and Attenuation Structures: Application at Nevado del Ruiz Volcano, Colombia

Journal of Geophysical Research: Solid Earth

Estimation of relative source locations from seismic amplitude: application to earthquakes and tremors at Meakandake volcano, eastern Hokkaido, Japan


Deep direct likelihood knockoffs

Deep Direct Likelihood Knockoffs

Normalizing Flows for Knockoff-free Controlled Feature Selection


Inference of putative transmission phylogenetic clusters

Inferring putative transmission clusters with Phydelity

Determining the International Spread of B.1.1.523 SARS-CoV-2 Lineage with a Set of Mutations Highly Associated with Reduced Immune Neutralization

Determining international spread of novel B.1.1.523 SARS-CoV-2 lineage


NeurIPS 2020 Spotlight Paper

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

On the Convergence of Continuous Constrained Optimization for Structure Learning

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

Optimizing NOTEARS Objectives via Topological Swaps


to solve the aBR decomposition online for an unconventional material or obstructed atomic insulator (OAI). "Unconventional materials", Sci. Bul. 67(6), 598-608 (2022).

Unconventional materials: the mismatch between electronic charge centers and atomic positions

Application of topological quantum chemistry in electrides

Superconductivity in unconventional metals

Two elementary band representation model, Fermi surface nesting, and surface topological superconductivity in AV_3Sb_ 5 (A = K, Rb, Cs)


Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

Multi-level Contrastive Learning for Script-based Character Understanding


Generating Human Skeletons with Mutual Actions

Image-to-Image Translation with Conditional Adversarial Networks

A U-Net Based Discriminator for Generative Adversarial Networks

Human Action Generation with Generative Adversarial Networks


Code to model the secular evolution of a hierarchical multiple system

Was GW190412 Born from a Hierarchical 3 + 1 Quadruple Configuration?

Formation and Merging of Mass Gap Black Holes in Gravitational-wave Merger Events from Wide Hierarchical Quadruple Systems

Multiple Stellar Evolution: a population synthesis algorithm to model the stellar, binary, and dynamical evolution of multiple-star systems

Monthly Notices of the Royal Astronomical Society

First- and second-generation black hole and neutron star mergers in 2+2 quadruples: population statistics

Monthly notices of the Royal Astronomical Society

Properties of von Zeipel-Lidov-Kozai oscillations in triple systems at the quadrupole order: relaxing the test particle approximation

Secular dynamics of hierarchical multiple systems composed of nested binaries, with an arbitrary number of bodies and arbitrary hierarchical structure – III. Suborbital effects: hybrid integration techniques and orbit-averaging corrections

A census of main-sequence interactions in the Multiple Star Catalogue


Boltzmann machine learning for Potts models of biological data

Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families

adabmDCA: Adaptive Boltzmann machine learning for biological sequences

Aligning biological sequences by exploiting residue conservation and coevolution


Actor Prioritized Experience Replay

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

Addressing Function Approximation Error in Actor-Critic Methods

Actor Prioritized Experience Replay


Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Multi-View Collaborative Network Embedding

ACM Transactions on Knowledge Discovery from Data

Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks


White-box Fairness Testing through Adversarial Sampling

Fairness Testing: A Comprehensive Survey and Analysis of Trends

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling

Search-based fairness testing for regression-based machine learning systems

Explanation-Guided Fairness Testing through Genetic Algorithm

Proceedings of the 44th International Conference on Software Engineering


Read routines for Eagle HDF5 snapshots

The origin of correlations between mass, metallicity, and morphology in galaxies from the eagle simulation

Using machine learning to study the kinematics of cold gas in galaxies

Differences in the properties of disrupted and surviving satellites of Milky-Way-mass galaxies in relation to their host accretion histories


This computational method has been published in BMC genomics as: "Identifying branch-specific positive selection throughout the regulatory genome using an appropriate proxy neutral"

Positive selection within the genomes of SARS-CoV-2 and other Coronaviruses independent of impact on protein function

Comparative Analyses of Chromatin Landscape in White Adipose Tissue Suggest Humans May Have Less Beigeing Potential than Other Primates

Evolutionary changes in the chromatin landscape contribute to reorganization of a developmental gene network during rapid life history evolution in sea urchins

Identifying branch-specific positive selection throughout the regulatory genome using an appropriate neutral proxy


Permutation Tests for Linear Models

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

BCR-associated factors driving chronic lymphocytic leukemia cells proliferation ex vivo

Are publications on zoological taxonomy under attack?

Effects of Chemical and Mechanical Lysis on Microbial DNA Yield, Integrity, and Downstream Amplicon Sequencing of Rumen Bacteria and Protozoa

Establishing a mental lexicon with cochlear implants: an ERP study with young children

Microbiota associated with Mollitrichosiphum aphids (Hemiptera: Aphididae: Greenideinae): diversity, host species specificity and phylosymbiosis

Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences

Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions

Genes Involved in Drosophila melanogaster Ovarian Function Are Highly Conserved Throughout Evolution

Thermal independence of energy management in a tailed amphibian


An innovative GWAS procedure for studies on germplasm population and plant breeding

Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats

Evolutionary Variation of Accumulative Day Length and Accumulative Active Temperature Required for Growth Periods in Global Soybeans

An Improved Genome-Wide Association Procedure Explores Gene–Allele Constitutions and Evolutionary Drives of Growth Period Traits in the Global Soybean Germplasm Population

International journal of molecular sciences


bead-based normalization of mass cytometry data

Distinct predictive biomarker candidates for response to anti-CTLA-4 and anti-PD-1 immunotherapy in melanoma patients

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

TBL1XR1 Mutations Drive Extranodal Lymphoma by Inducing a Pro-tumorigenic Memory Fate

Reduced CD27−IgD− B Cells in Blood and Raised CD27−IgD− B Cells in Gut-Associated Lymphoid Tissue in Inflammatory Bowel Disease

Harnessing CD3 diversity to optimize CAR T cells

Treated HIV Infection Alters Phenotype but Not HIV-Specific Function of Peripheral Blood Natural Killer Cells

Intrinsic suppression of type I interferon production underlies the therapeutic efficacy of IL-15-producing natural killer cells in B-cell acute lymphoblastic leukemia

Single cell profiling at the maternal–fetal interface reveals a deficiency of PD-L1+ non-immune cells in human spontaneous preterm labor

CNS Repopulation by Hematopoietic-Derived Microglia-Like Cells Corrects Progranulin deficiency


This repository is meant to host a beta version for the future release of the ConnectomeMapper.

The Frequent Network Neighborhood Mapping of the Human Hippocampus Shows Much More Frequent Neighbor Sets in Males Than in Females

The frequent complete subgraphs in the human connectome

Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort

Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph

The braingraph.org database with more than 1000 robust human connectomes in five resolutions

The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions

Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org

Discovering Sex and Age Implicator Edges in the Human Connectome


MATLAB code for performing the coalescent embedding

Leveraging the nonuniform PSO network model as a benchmark for performance evaluation in community detection and link prediction

Hydra: a method for strain-minimizing hyperbolic embedding of network- and distance-based data

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding

Model-independent embedding of directed networks into Euclidean and hyperbolic spaces


Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Image quality assessment for machine learning tasks using meta-reinforcement learning

Adaptable image quality assessment using meta-reinforcement learning of task amenability

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation


[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)

Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning

Integrated monitoring of ice in selected Swiss lakes. Final project report

Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery

Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring

IEEE Transactions on Geoscience and Remote Sensing


The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Text Length Adaptation in Sentiment Classification


Code for "Bilingual Lexicon Induction with Semi-supervisionin Non-Isometric Embedding Spaces", ACL 2019

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.


Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)

Denoising Autoencoders for fast Combinatorial Black Box Optimization

Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization

Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization


Predict disorder and disorder binding from AlphaFold structures

Intrinsic protein disorder and conditional folding in AlphaFoldDB

Protein science : a publication of the Protein Society

Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins

Computational and structural biotechnology journal

The fitness cost of spurious phosphorylation.

bioRxiv : the preprint server for biology


Collection of links and information about COVID-19

Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

Aerosol and surface stability of HCoV-19 (SARS-CoV-2) compared to SARS-CoV-1

medRxiv : the preprint server for health sciences

Remdesivir for the Treatment of Covid-19 — Final Report

BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting

Safety and Efficacy of Single-Dose Ad26.COV2.S Vaccine against Covid-19

Thrombotic Thrombocytopenia after ChAdOx1 nCov-19 Vaccination

Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020

Thrombosis and Thrombocytopenia after ChAdOx1 nCoV-19 Vaccination

Effectiveness of the BNT162b2 Covid-19 Vaccine against the B.1.1.7 and B.1.351 Variants

Pathologic Antibodies to Platelet Factor 4 after ChAdOx1 nCoV-19 Vaccination


Atmospheric Retrieval Codes for Exoplanets

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

Identification of carbon dioxide in an exoplanet atmosphere

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

A comparison of exoplanet spectroscopic retrieval tools

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

EXOPLINES: Molecular Absorption Cross-section Database for Brown Dwarf and Giant Exoplanet Atmospheres

Zenodo (CERN European Organization for Nuclear Research)

Constraining Mornings and Evenings on Distant Worlds: A new Semianalytical Approach and Prospects with Transmission Spectroscopy

The Detectability and Constraints of Biosignature Gases in the Near- and Mid-infrared from Transit Transmission Spectroscopy

How does thermal scattering shape the infrared spectra of cloudy exoplanets? A theoretical framework and consequences for atmospheric retrievals in the JWST era

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b


DEEP-BO for Hyperparameter Optimization of Deep Networks

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search


A generalized score-based method for Causal Discovery

Learning Sparse Nonparametric DAGs

A polynomial-time algorithm for learning nonparametric causal graphs

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Reframed GES with a Neural Conditional Dependence Measure


Multilinear PageRank

Multilinear PageRank

SIAM Journal on Matrix Analysis and Applications

Perron‐based algorithms for the multilinear PageRank

Numerical Linear Algebra with Applications


Package for simulating nonlinear optical spectra

Automatic Feynman diagram generation for nonlinear optical spectroscopies and application to fifth-order spectroscopy with pulse overlaps

Efficient numerical method for predicting nonlinear optical spectroscopies of open systems

QuDPy: A Python-based tool for computing ultrafast non-linear optical responses


Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

A Probabilistic Formulation of Unsupervised Text Style Transfer

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond


The Pitfalls of Simplicity Bias in Neural Networks

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning


GTree is a brain-wide tool for neuron tracing.

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction

Optimization of Traced Neuron Skeleton Using Lasso-Based Model

Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites


Pan cancer summary statistics from meta analyses of UK Biobank and Kaiser GERA cohorts.

GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer

GWAS meta-analysis and gene expression data link reproductive tract development, immune response and cellular proliferation/apoptosis with cervical cancer and clarify overlap with other cervical phenotypes


causalimages: An R package for performing causal inference with image and image sequence data

Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities

Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa


Repository for the project "DeepShadows: Separating LSBGs from artifacts using Deep Learning"

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

International Journal of Computer Vision

DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning

Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band images

Shedding light on low-surface-brightness galaxies in dark energy surveys with transformer models


CVPR2021: Detecting Human-Object Interaction via Fabricated Compositional Learning

Transferable Interactiveness Knowledge for Human-Object Interaction Detection

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

Visual Compositional Learning for Human-Object Interaction Detection


MATJAGS, a Matlab interface for JAGS

The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls

The development of retro-cue benefits with extensive practice: Implications for capacity estimation and attentional states in visual working memory


Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Distributionally Adaptive Meta Reinforcement Learning

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning


A Python package to generate and evaluate many-body diagrams

ADG: Automated generation and evaluation of many-body diagrams I. Bogoliubov many-body perturbation theory

ADG: automated generation and evaluation of many-body diagrams

ADG: Automated generation and evaluation of many-body diagrams II. Particle-number projected Bogoliubov many-body perturbation theory


PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).

Induction Networks for Few-Shot Text Classification

Few-shot Text Classification with Distributional Signatures


DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

A Unified View of Differentially Private Deep Generative Modeling

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


PubLayNet: largest dataset ever for document layout analysis

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

DocBank: A Benchmark Dataset for Document Layout Analysis

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis


Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

How To Backdoor Federated Learning

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


Official repository of the ben-ge Earth Observation dataset

Ben-ge: Extending BigEarthNet with Geographical and Environmental Data


COCACOLA: a general framework for binning contigs in metagenomic studies incorporating read COverage, CorrelAtion, sequence COmposition and paired-end read LinkAge

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


Symbolic physics learner: Discovering governing equations via Monte Carlo tree search

Vertical Symbolic Regression


some useful scripts for working with genomics and sequencing data

Unusual biology across a group comprising more than 15% of domain Bacteria

Genome-resolved metagenomics reveals site-specific diversity of episymbiotic CPR bacteria and DPANN archaea in groundwater ecosystems

Ecology of inorganic sulfur auxiliary metabolism in widespread bacteriophages

Metagenome-assembled genomes provide new insight into the microbial diversity of two thermal pools in Kamchatka, Russia

Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome

Large Freshwater Phages with the Potential to Augment Aerobic Methane Oxidation

Targeted Genome Editing of Bacteria Within Microbial Communities

Leave no stone unturned: individually adapted xerotolerant Thaumarchaeota sheltered below the boulders of the Atacama Desert hyperarid core

910 metagenome-assembled genomes from the phytobiomes of three urban-farmed leafy Asian greens

Combined analysis of microbial metagenomic and metatranscriptomic sequencing data to assess in situ physiological conditions in the premature infant gut


Python toolbox for phenotype analysis of arrayed microbial colonies

Pyphe, a python toolbox for assessing microbial growth and cell viability in high-throughput colony screens

Functional profiling of long intergenic non-coding RNAs in fission yeast

High-throughput, high-precision colony phenotyping with pyphe


Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

Combinatory Grammar Tells Underlying Relevance among Entities

Findings of the Association for Computational Linguistics: EMNLP 2022


An R package for latent change score modelling (LCSM)

Recent Changes Leading to Subsequent Changes: Extensions of Multivariate Latent Difference Score Models

Structural equation modeling : a multidisciplinary journal

Latent Curve Models and Latent Change Score Models Estimated in R

lcsm: An R package and tutorial on latent change score modelling


Calculate flow statistics from a given network capture file.

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers

Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset


EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Neural Exploitation and Exploration of Contextual Bandits

Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing

Contextual Bandits with Online Neural Regression


A new annotation database useful to train unbiased and discrimination-aware face recognition algorithms

SensitiveNets: Learning Agnostic Representations with Application to Face Images

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment


Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Getting to Know Low-light Images with The Exclusively Dark Dataset

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Research on Improved YOLOv5 for Low-Light Environment Object Detection

A Novel Luminance-Based Algorithm for Classification of Semi-Dark Images

Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments


Prepare XML input files for divergence-time estimation with SNAPP

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Bayesian Divergence-Time Estimation with Genome-Wide Single-Nucleotide Polymorphism Data of Sea Catfishes (Ariidae) Supports Miocene Closure of the Panamanian Isthmus

Population Structure Limits Parallel Evolution in Sticklebacks

Estimating uncertainty in divergence times among three-spined stickleback clades using the multispecies coalescent

Between a Rock and a Hard Polytomy: Phylogenomics of the Rock-Dwelling Mbuna Cichlids of Lake Malaŵi

Phylogenomic Assessment of Biodiversity Using a Reference-Based Taxonomy: An Example With Horned Lizards (Phrynosoma)

The evolutionary history and mechanistic basis of female ornamentation in a tropical songbird

Evolution; international journal of organic evolution

Bayesian divergence-time estimation with genome-wide SNP data of sea catfishes (Ariidae) supports Miocene closure of the Panamanian Isthmus

Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)

Evidence for a single, ancient origin of a genus-wide alternative life history strategy


This program is designed for annotation of antimicrobal resistance(AMR), transposon(Tn) and integron(In) in bacteria.

BacAnt: A Combination Annotation Server for Bacterial DNA Sequences to Identify Antibiotic Resistance Genes, Integrons, and Transposable Elements

Mobilome-driven partitions of the resistome in Salmonella

Avian strains of emerging pathogen Escherichia fergusonii are phylogenetically diverse and harbor the greatest AMR dissemination potential among different sources: Comparative genomic evidence


Look Up Guild Information for Fungi in R

Grazing lowers soil multifunctionality but boosts soil microbial network complexity and stability in a subtropical grassland of China

Full-Season Cover Crops and Their Traits That Promote Agroecosystem Services

Altitudinal Variation Influences Soil Fungal Community Composition and Diversity in Alpine–Gorge Region on the Eastern Qinghai–Tibetan Plateau

Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa

Earthworm-invaded boreal forest soils harbour distinct microbial communities


[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Energy-based Out-of-distribution Detection

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features


[ECCV-2024] DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition

GET: Group Event Transformer for Event-Based Vision

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket


Making Deep Q-learning methods robust to time discretization

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods

ACERAC: Efficient reinforcement learning in fine time discretization


Benchmark for Answering Existential First Order Queries with Single Free Variable (NeurIPS dataset and benchmark 2021)

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

Logic Embeddings for Complex Query Answering


linkages from non-patent literature (NPL) references from USPTO patents since 1947 to academic papers since 1800 using Microsoft Academic Graph

Reliance on Science in Patenting


Python library for Recurrent Gaussian Processes

Recurrent Gaussian Processes

Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images


Science Colour Maps is a small package containing several colour maps created using viscm.

Forensic reconstruction of galaxy colour evolution and population characterization

Galaxy quenching timescales from a forensic reconstruction of their colour evolution

Revealing the Nature of a Lyα Halo in a Strongly Lensed Interacting System at z = 2.92


Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7

Offline Meta-Reinforcement Learning with Online Self-Supervision

Context Shift Reduction for Offline Meta-Reinforcement Learning

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression


This repository contains our implementations for Shilling Attacks against Recommender Systems.

Attacking Recommender Systems with Augmented User Profiles

International Conference on Information and Knowledge Management

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

IEEE transactions on neural networks and learning systems

Single-User Injection for Invisible Shilling Attack against Recommender Systems

Practical Cross-System Shilling Attacks with Limited Access to Data


Official codebase accompanying our ACL 2022 paper "RELiC: Retrieving Evidence for Literary Claims" (https://relic.cs.umass.edu).

REALM: Retrieval-Augmented Language Model Pre-Training

ELI5: Long Form Question Answering

RELIC: Retrieving Evidence for Literary Claims


Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels

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


ScousePy

Molecular gas kinematics within the central 250 pc of the Milky Way

Monthly Notices of the Royal Astronomical Society

‘The Brick’ is not abrick: a comprehensive study of the structure and dynamics of the central molecular zone cloud G0.253+0.016

Monthly notices of the Royal Astronomical Society

ATOMS: ALMA Three-millimeter Observations of Massive Star-forming regions – XV. Steady accretion from global collapse to core feeding in massive hub-filament system SDC335

Decomposing magnetic fields in three dimensions over the central molecular zone

CMZoom III: Spectral Line Data Release

Filamentary mass accretion towards the high-mass protobinary system
  G11.92-0.61 MM2


MMDetection: Open MMLab Detection Toolbox and Benchmark

SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving

PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios


Design, analysis, findings and raw data from the 2018 GitHub Education Classroom Report

Mere belonging: The power of social connections.

Journal of personality and social psychology

First-generation students' academic engagement and retention

The Emergence of GitHub as a Collaborative Platform for Education

PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'15)

Student Experiences Using GitHub in Software Engineering Courses: A Case Study

International Conference on Software Engineering

Supporting and structuring “contributing student pedagogy” in Computer Science curricula

Using GitHub in the classroom - a collaborative learning experience

International Symposium for Design and Technology in Electronic Packaging


Optimal measurement network of pairwise differences

Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands

Precise binding free energy calculations for multiple molecules using an optimal measurement network of pairwise differences


a deep-learning-based framework for studying m6A

DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning

Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning

International journal of molecular sciences

Advances in the protein‑encoding functions of circular RNAs associated with cancer (Review)

Analysis approaches for the identification and prediction of N6-methyladenosine sites


ProSolo, variant calling from single cell DNA-seq data, or: bulk backing vocals for single cell solos.

Somatic variant calling from single-cell DNA sequencing data

Computational and structural biotechnology journal

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

ProSolo: Accurate Variant Calling from Single Cell DNA Sequencing Data


PyTorch implementation of Spatially Transformed Adversarial Examples

Imperceptible Adversarial Examples by Spatial Chroma-Shift

Adversarial image generation by spatial transformation in perceptual colorspaces


Isotope-enabled CESM1.2

Glacial cooling and climate sensitivity revisited

Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model

Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature

Zenodo (CERN European Organization for Nuclear Research)

Influence of Sea Ice Anomalies on Antarctic Precipitation Using Source Attribution


中文常用停用词表（哈工大停用词表、百度停用词表等）

Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

Reproducibility Issues for BERT-based Evaluation Metrics

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

CHAMP: Characterizing Undesired App Behaviors from User Comments based on Market Policies

Classification and Causes Identification of Chinese Civil Aviation Incident Reports

Unraveling the Mystery of Artifacts in Machine Generated Text

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

"Help! Can You Hear Me?": Understanding How Help-Seeking Posts are Overwhelmed on Social Media during a Natural Disaster

Emoji-based Co-attention Network for Microblog Sentiment Analysis


Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

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

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models

Applying Guidance in a Limited Interval Improves Sample and Distribution
  Quality in Diffusion Models

Denoising Task Routing for Diffusion Models

Complexity Matters: Rethinking the Latent Space for Generative Modeling


Code for calculating the sensitivity of 21cm experiments to the EoR power spectrum

Hydrogen Epoch of Reionization Array (HERA)

Publications of the Astronomical Society of the Pacific

21CMMC: an MCMC analysis tool enabling astrophysical parameter studies of the cosmic 21 cm signal

Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

Eliminating the optical depth nuisance from the CMB with 21 cm cosmology

The Evolution Of 21 cm Structure (EOS): public, large-scale simulations of Cosmic Dawn and reionization

THE MURCHISON WIDEFIELD ARRAY 21 cm POWER SPECTRUM ANALYSIS METHODOLOGY

REDUNDANT ARRAY CONFIGURATIONS FOR 21 cm COSMOLOGY

21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn

Constraining the primordial black hole abundance with 21-cm cosmology

Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC

Proceedings of the International Astronomical Union


N24News: A New Dataset for Multimodal News Classification

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning


Tools for finding mobile element insertions from single-end datasets

A virome-wide clonal integration analysis platform for discovering cancer viral etiology

ITR-Seq, a next-generation sequencing assay, identifies genome-wide DNA editing sites in vivo following adeno-associated viral vector-mediated genome editing

Diverse and mobile:eccDNA‐based identification of carrot low‐copy‐numberLTRretrotransposons active in callus cultures

The Plant journal : for cell and molecular biology

Metagenomic analysis of viral genes integrated in whole genome sequencing data of Thai patients with Brugada syndrome


[ACL 2024 Main Conference] Chinese commonsense benchmark for LLMs

Language Models are Multilingual Chain-of-Thought Reasoners

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Benchmarking Chinese Commonsense Reasoning of LLMs: From
  Chinese-Specifics to Reasoning-Memorization Correlations


Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

Augmented Large Language Models with Parametric Knowledge Guiding


Original Inference Repository of the Paper: "Domain-Adaptive Self-Supervised Pre-training for Face & Body Detection in Drawings"

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

Object Detection for Comics using Manga109 Annotations

ACFD: Asymmetric Cartoon Face Detector

Domain-Adaptive Self-Supervised Face & Body Detection in Drawings


This is the public repository for the gevolution cosmological N-body code.

Weak-lensing observables in relativistic N-body simulations

Observing relativistic features in large-scale structure surveys - II. Doppler magnification in an ensemble of relativistic simulations

The halo bias for number counts on the light cone from relativistic N-body simulations

Mapping the cosmic mass distribution with stacked weak gravitational lensing and Doppler lensing

The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence

Relativistic matter bispectrum of cosmic structures on the light cone


R package with motifs for use with chromVAR

Functional inference of gene regulation using single-cell multi-omics

Human microglia maturation is underpinned by specific gene regulatory networks

A nuclear cAMP microdomain suppresses tumor growth by Hippo pathway inactivation

Abstract 287: A nuclear cAMP microdomain suppresses tumor growth by Hippo Pathway inactivation


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs

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

TAR: Neural Logical Reasoning across TBox and ABox

FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning


A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

On the Effectiveness of Distillation in Mitigating Backdoors in
  Pre-trained Encoder


[CVPR 2024] Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

trajdata: A Unified Interface to Multiple Human Trajectory Datasets

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder
  and Actor-specific Token Memory


Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"

Taking Human out of Learning Applications: A Survey on Automated Machine Learning

Efficient Neural Architecture Search via Proximal Iterations


Source code for the ICDE 2023 paper "Scaling Blockchain Consensus via a Robust Shared Mempool"

HotStuff: BFT Consensus with Linearity and Responsiveness

Streamlet: Textbook Streamlined Blockchains

Proceedings of the 2nd ACM Conference on Advances in Financial Technologies


Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task

Findings of the Association for Computational Linguistics: EMNLP 2021

Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task


A method of assessing sequence complexity based on kmer frequencies

The stepwise assembly of the neonatal virome is modulated by breastfeeding

Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

Lifestyle and the presence of helminths is associated with gut microbiome composition in Cameroonians

Microbial Diversity of Co-occurring Heterotrophs in Cultures of Marine Picocyanobacteria

Imaging sensitive and drug-resistant bacterial infection with [11C]-trimethoprim

Interactions between the gut microbiome, dietary restriction, and aging in genetically diverse mice


NeurIPS 2020, Debiased Contrastive Learning

A Simple Framework for Contrastive Learning of Visual Representations

Debiased Contrastive Learning

Self-Supervised Learning Disentangled Group Representation as Feature

Sharpness & Shift-Aware Self-Supervised Learning


Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

Learning from Noisy Labels with Deep Neural Networks: A Survey

FINE Samples for Learning with Noisy Labels

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

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

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels


A tool for annotation-free differential analysis of tissue-specific pre-mRNA alternative splicing patterns

The changing paradigm of intron retention: regulation, ramifications and recipes

piRNA-mediated regulation of transposon alternative splicing in the soma and germ line

Striking circadian neuron diversity and cycling of Drosophila alternative splicing

Implications of Antigen Selection on T Cell-Based Immunotherapy


TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain

Improving nanopore read accuracy with the R2C2 method enables the sequencing of highly multiplexed full-length single-cell cDNA

INC-Seq: accurate single molecule reads using nanopore sequencing

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

TideHunter: efficient and sensitive tandem repeat detection from noisy long-reads using seed-and-chain


Millefy: Genome browser-like visualization of single-cell RNA-seq dataset

Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data

A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data


Testing Language Models for Memorization of Tabular Datasets.

Elephants Never Forget: Testing Language Models for Memorization of
  Tabular Data

Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models


RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Inference of single-cell phylogenies from lineage tracing data using Cassiopeia

Phylogeography of the Bradyrhizobium spp. Associated With Peanut, Arachis hypogaea: Fellow Travelers or New Associations?


NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

Flamingo: a Visual Language Model for Few-Shot Learning

The Llama 3 Herd of Models

NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions

Generative Pretraining in Multimodality


Package pymcd

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

VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform


OpenGL Powered Pretext Contact Map Viewer

The genome sequence of the Norway rat, Rattus norvegicus Berkenhout 1769

A Reference Genome Assembly of American Bison, Bison bison bison

The genome sequence of the brown trout, Salmo trutta Linnaeus 1758.

The complete genome sequence of Eimeria tenella (Tyzzer 1929), a common gut parasite of chickens

The genome sequence of the red deer, Cervus elaphus Linnaeus 1758

The genome sequence of the common frog, Rana temporaria Linnaeus 1758

The genome sequence of the painted lady, Vanessa cardui Linnaeus 1758

The genome sequence of the common toad, Bufo bufo (Linnaeus, 1758)

A chromosome-level reference genome and pangenome for barn swallow population genomics

The genome sequence of the harlequin ladybird, Harmonia axyridis (Pallas, 1773)


Entity-centered Cross-document Relation Extraction

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild

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

Multi-hop Evidence Retrieval for Cross-document Relation Extraction


Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning


Multilingual G2P in 100 languages

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

ByT5 model for massively multilingual grapheme-to-phoneme conversion

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

Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction


Guarantees on the behavior of neural networks don't always have to come at the cost of performance.

Deep Anomaly Detection with Outlier Exposure

Provably Robust Detection of Out-of-distribution Data (almost) for free

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


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

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair

A Survey on Automated Program Repair Techniques


Library for training globally-robust neural networks.

Globally-Robust Neural Networks

Unlocking Deterministic Robustness Certification on ImageNet

Relaxing Local Robustness

CertViT: Certified Robustness of Pre-Trained Vision Transformers


Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables.  (ICLR 2019)

ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks

Direct Optimization through max for Discrete Variational Auto-Encoder

Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks


This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Post-Editing Extractive Summaries by Definiteness Prediction


Competition-Level Code Generation with AlphaCode

Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation

Planning with Large Language Models for Code Generation

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

RunBugRun -- An Executable Dataset for Automated Program Repair

Neural Machine Translation for Code Generation


Improved Neural Relation Detection for Knowledge Base Question Answering

Simple Question Answering by Attentive Convolutional Neural Network

Incremental Knowledge Based Question Answering


microRNA PREdiction From small RNA-seq data

MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations

miR-PREFeR: an accurate, fast and easy-to-use plant miRNA prediction tool using small RNA-Seq data

Identification of Exogenous Nitric Oxide-Responsive miRNAs from Alfalfa (Medicago sativa L.) under Drought Stress by High-Throughput Sequencing

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants


A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.

The EUPPBench postprocessing benchmark dataset v1.0

The EUPPBench postprocessing benchmark


A Windows Graphical Platform for Batch Manipulation of Tremendous Amount of Sequence Data

FasParser: a package for manipulating sequence data

FasParser2: a graphical platform for batch manipulation of tremendous amount of sequence data

Whole-Genome Sequencing and Annotation of the Yeast Clavispora santaluciae Reveals Important Insights about Its Adaptation to the Vineyard Environment


collection of bioinformatic scripts

Metabarcoding reveals a high diversity of woody host-associated Phytophthora spp. in soils at public gardens and amenity woodlands in Britain

Alien Domains Shaped the Modular Structure of Plant NLR Proteins

The Transcriptomes of Xiphinema index and Longidorus elongatus Suggest Independent Acquisition of Some Plant Parasitism Genes by Horizontal Gene Transfer in Early-Branching Nematodes

Diversity of woody-host infecting Phytophthora species in public parks and botanic gardens as revealed by metabarcoding, and opportunities for mitigation through best practice

Sibbaldia: the International Journal of Botanic Garden Horticulture


Tools for MRI mouse brain morphometry

In vivo imaging of tau pathology using multi-parametric quantitative MRI

Imaging the accumulation and suppression of tau pathology using multiparametric MRI

Fully-Automated μMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome


A dataset of over 10000 question and answer pairs written for storybooks.

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales


The implementations of various baselines in our CIKM 2022 paper: ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

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

End-to-End Object Detection with Transformers


Simplifying approach to Node Classification in Graph Neural Networks

Improving Graph Neural Networks with Simple Architecture Design

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

GNN Transformation Framework for Improving Efficiency and Scalability


Neural Architecture Optimization

Neural Architecture Optimization

NAS evaluation is frustratingly hard

Understanding Neural Architecture Search Techniques

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Balanced One-shot Neural Architecture Optimization

XferNAS: Transfer Neural Architecture Search


Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitioners in the field to evaluate and compare their algorithms with existing approaches.

Linked Open Data to Support Content-Based Recommender Systems

Top-N recommendations from implicit feedback leveraging linked open data

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios

Tinderbook: Fall in Love with Culture


This is the code for Negation and Speculation Cue Detection and Scope Resolution using BERT, XLNet and RoBERTa

NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution

Multitask Learning of Negation and Speculation using Transformers

International Workshop on Health Text Mining and Information Analysis

Resolving the Scope of Speculation and Negation using Transformer-Based Architectures


This tool is used for generating Manufacture Usage Description(MUD) from Device Traffic Trace(PCAP)

Clear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report).

Verifying and Monitoring IoTs Network Behavior using MUD Profiles

Enforcing Behavioral Profiles through Software-Defined Networks in the Industrial Internet of Things

SoK: Beyond IoT MUD Deployments -- Challenges and Future Directions


ggplot2 Extension to Visualize Two Variables Per Color Aesthetic through Color Space Projection

European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study

International journal of environmental research and public health

Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Cannabis- and Substance-Related Carcinogenesis in Europe: A Lagged Causal Inferential Panel Regression Study

Patterns of Cannabis- and Substance-Related Congenital General Anomalies in Europe: A Geospatiotemporal and Causal Inferential Study

Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study

Geospatiotemporal and Causal Inferential Study of European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Orofacial Anomalies

Congenital Gastrointestinal Anomalies in Europe 2010–2019: A Geo-Spatiotemporal and Causal Inferential Study of Epidemiological Patterns in Relationship to Cannabis- and Substance Exposure


Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

Are Multilingual Models Effective in Code-Switching?

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling


Approximate linear solution of power flow equations in power distribution networks

On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks

A Necessary Condition for Power Flow Insolvability in Power Distribution Systems With Distributed Generators

Hierarchical and Distributed Monitoring of Voltage Stability in Distribution Networks

A distributed voltage stability margin for power distribution networks

A Framework for Robust Steady-State Voltage Stability of Distribution Systems


Official implementation of  HIH:Towards More Accurate Face Alignment via Heatmap in Heatmap

Revisting Quantization Error in Face Alignment

International Conference on Computer Vision

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

A survey and classification of face alignment methods based on face models


a versatile and flexible pipeline for analysing different variants of ChIA-PET data

ChIA-PET2: a versatile and flexible pipeline for ChIA-PET data analysis

High resolution discovery of chromatin interactions

Protocol to capture transcription factor-mediated 3D chromatin interactions using affinity tag-based BL-HiChIP


BERT models for many languages created from Wikipedia texts

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

ParsiNLU: A Suite of Language Understanding Challenges for Persian

WikiBERT models: deep transfer learning for many languages


[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

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

Graph-based Molecular Representation Learning

Learning Invariant Molecular Representation in Latent Discrete Space


Python Code for Quantitative Finance Papers

Hyperbolic normal stochastic volatility model

A Black-Scholes user's guide to the Bachelier model

The equivalent constant-elasticity-of-variance (CEV) volatility of the stochastic-alpha-beta-rho (SABR) model

A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'


Find introgressed segments

Million-year-old DNA sheds light on the genomic history of mammoths

Different historical generation intervals in human populations inferred from Neanderthal fragment lengths and mutation signatures

Ghost admixture in eastern gorillas


Control Barrier Functions in Sampled-Data Systems

High Relative Degree Control Barrier Functions Under Input Constraints

Guaranteed Safe Spacecraft Docking With Control Barrier Functions

Compositions of Multiple Control Barrier Functions Under Input Constraints

Predictive Control Barrier Functions for Online Safety Critical Control

Safety-Critical Control for Systems With Impulsive Actuators and Dwell Time Constraints

Robust Safety-Critical Control for Systems with Sporadic Measurements
  and Dwell Time Constraints


A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Adversarial Learning for Semi-Supervised Semantic Segmentation

Semi-supervised semantic segmentation needs strong, varied perturbations

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

DMT: Dynamic mutual training for semi-supervised learning

Learning to Annotate Part Segmentation with Gradient Matching


The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating

A Dynamic Points Removal Benchmark in Point Cloud Maps

DeFlow: Decoder of Scene Flow Network in Autonomous Driving

DUFOMap: Efficient Dynamic Awareness Mapping

BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps


extract 454 Genome Sequencer reads from a SFF file and convert them into a FASTQ formatted output

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies

Next Generation Diagnostics in Inherited Arrhythmia Syndromes

Journal of cardiovascular translational research

Exploring the Genomic Traits of Non-toxigenic Vibrio parahaemolyticus Strains Isolated in Southern Chile

Characterisation of Genetic Variation in ST8SIA2 and Its Interaction Region in NCAM1 in Patients with Bipolar Disorder

Predominant Biphenyl Dioxygenase From Legacy Polychlorinated Biphenyl (PCB)-Contaminated Soil Is a Part of Unusual Gene Cluster and Transforms Flavone and Flavanone


Accepted by CVPR 2022

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Recurrent Dynamic Embedding for Video Object Segmentation


Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"

Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph

International Conference on Computational Linguistics

REMOD: Relation Extraction for Modeling Online Discourse

Fact Checking via Path Embedding and Aggregation


MAttNet: Modular Attention Network for Referring Expression Comprehension

Unifying Vision-and-Language Tasks via Text Generation

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

Who's Waldo? Linking People Across Text and Images


FedGroup, A Clustered Federated Learning framework based on Tensorflow

Federated Optimization in Heterogeneous Networks

Multi-center federated learning: clients clustering for better personalization

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering


[ICPR 2022] Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information

Occupancy Networks: Learning 3D Reconstruction in Function Space

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Convolutional Occupancy Networks