A conditional GAN for text-to-image

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

Recurrent Affine Transformation for Text-to-image Synthesis


Virtual Adversarial Training (VAT) implementation for PyTorch

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Unlabeled Data Improves Adversarial Robustness

Distributional Smoothing with Virtual Adversarial Training

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

SLIDE: a surrogate fairness constraint to ensure fairness consistency


A Julia package for training and evaluating multimodal deep Boltzmann machines

Partitioned learning of deep Boltzmann machines for SNP data

Deep generative models in DataSHIELD

Unsupervised deep learning on biomedical data with BoltzmannMachines.jl


Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

Counterfactually Guided Off-policy Transfer in Clinical Settings

A Survey on Causal Reinforcement Learning


Euclidean Wasserstein-2 optimal transportation

Optimal transport mapping via input convex neural networks

Wasserstein-2 Generative Networks

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization

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

Generative Modeling with Optimal Transport Maps

2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs.

On amortizing convex conjugates for optimal transport

Self-Consistent Velocity Matching of Probability Flows


Source code for the ICCV-2019 paper "Co-segmentation Inspired Attention Networks for Video-based Person Re-identification"

Omni-Scale Feature Learning for Person Re-Identification

Revisiting Temporal Modeling for Video-based Person ReID

Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification

International Conference on Computer Vision

Co-segmentation Inspired Attention Module for Video-based Computer
  Vision Tasks


LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping


An encoder-decoder framework for learning from incomplete data

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.


A Python cross correlation command line tool for unevenly sampled time series

Constraints on Lorentz invariance and CPT violation using optical photometry and polarimetry of active galaxies BL Lacertae and S5 B0716+714

Evidence for hot clumpy accretion flow in the transitional millisecond pulsar PSR J1023+0038

Monthly notices of the Royal Astronomical Society

Simultaneous optical/X-ray study of GS 1354-64 (=BW Cir) during hard outburst: evidence for optical cyclo-synchrotron emission from the hot accretion flow

Monthly Notices of the Royal Astronomical Society

Observation of the gamma-ray binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS telescopes

UV to X-Ray Comptonization Delay in Mrk 493

Using mutual information to measure time lags from nonlinear processes in astronomy

Contrasting X-ray/UV time-lags in Seyfert 1 galaxies NGC 4593 and NGC
  7469 using AstroSat observations

Long-term optical and γ-ray variability of the blazar
  PKS 1222+216

Analysis of the Intranight Variability of BL Lacertae during Its 2020 August Flare

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series


毕业设计：基于Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder的法律文书要素识别

Attention Is All You Need

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

Semi-supervised Sequence Learning


Official PyTorch Implementation of transitional-cGAN

Collapse by Conditioning: Training Class-conditional GANs with Limited
  Data

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs


AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

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

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

IEEE transactions on intelligent transportation systems

A Comprehensive Survey on Traffic Prediction.

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

Graph Neural Networks for Intelligent Transportation Systems: A Survey

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic
  Forecasting

Graph Neural Rough Differential Equations for Traffic Forecasting


Video/Image Labeling and Annotation Tool

SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

Gaze-based Object Detection in the Wild

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

Memory Maps for Video Object Detection and Tracking on UAVs


Rphenograph: R implementation of the PhenoGraph algorithm

Dimensionality reduction for visualizing single-cell data using UMAP

Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline

Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity

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

Spatial predictors of immunotherapy response in triple-negative breast cancer

ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections

Computational and structural biotechnology journal

Assessment of Automated Flow Cytometry Data Analysis Tools within Cell and Gene Therapy Manufacturing

International journal of molecular sciences


Implementation of Graph Convolutional Networks in TensorFlow

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

Deep Learning on Graphs: A Survey

Toward Robust Graph Semi-Supervised Learning against Extreme Data
  Scarcity


Abbreviation definition dection library trained on PubMed abstracts

Biomedical Entity Representations with Synonym Marginalization

Transferability of Natural Language Inference to Biomedical Question Answering

A Deep Learning-Based System for PharmaCoNER

Empirical Methods in Natural Language Processing

Better than BERT but Worse than Baseline


R package for analysing proteomics data

Proteus: an R package for downstream analysis of MaxQuant output

A Novel Enrichment Culture Highlights Core Features of Microbial Networks Contributing to Autotrophic Fe(II) Oxidation Coupled to Nitrate Reduction

Girding the loins? Direct evidence of the use of a medieval English parchment birthing girdle from biomolecular analysis

Surfactin Shows Relatively Low Antimicrobial Activity against Bacillus subtilis and Other Bacterial Model Organisms in the Absence of Synergistic Metabolites

LFQ-Based Peptide and Protein Intensity Differential Expression Analysis

Girding the loins? Direct evidence of the use of a medieval parchment birthing girdle from biomolecular analysis

Deep proteome profiling reveals signatures of age and sex differences in paw skin and sciatic nerve of naïve mice


Deep Image Compression using Decoder Side Information (ECCV 2020)

Neural Distributed Image Compression Using Common Information

Neural Distributed Image Compression with Cross-Attention Feature Alignment


A self-contained C++ implementation of MMA and GCMMA.

Lagrangian–Eulerian multidensity topology optimization with the material point method

International journal for numerical methods in engineering

Cellular topology optimization on differentiable Voronoi diagrams

A Hybrid Lagrangian-Eulerian Method for Topology Optimization.


Large scale sentential paraphrases collection and annotation

Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

On Length Divergence Bias in Textual Matching Models

Continuous Decomposition of Granularity for Neural Paraphrase Generation


A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

Prototypical Networks for Few-shot Learning

Meta-Learning with Differentiable Convex Optimization

Meta-learning with differentiable closed-form solvers


WaveNet for the separation of audio sources

Domain-Adversarial Training of Neural Networks

WaveNet: A Generative Model for Raw Audio

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

A Universal Music Translation Network


Learning Energy-Based Models by Diffusion Recovery Likelihood

Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery
  Approach


Official Implementation of the ECCV 22 paper, "Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition".

Learning Face Representation from Scratch

Enhancing Low-resolution Face Recognition with Feature Similarity
  Knowledge Distillation


SSRNET for hyperspectral and multispectral image fusion.

Deep learning in multimodal remote sensing data fusion: A comprehensive review

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

IEEE transactions on geoscience and remote sensing

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


Implementation of Grid-Forming Control Techniques in IEEE 9-Bus System

Frequency Stability of Synchronous Machines and Grid-Forming Power Converters

Beyond low-inertia systems: Massive integration of grid-forming power converters in transmission grids

Interactions of Grid-Forming Power Converters and Synchronous Machines

System-level performance and robustness of the grid-forming hybrid angle control


Spectral Collaborative Filtering

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Graph Learning based Recommender Systems: A Review


Solar radiation model for flight dynamics. Based on Duffie & Beckman "Solar energy thermal processes" (1974)


Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?


Fairness in Machine Learning: A Survey

FAT* - Fairness is not static: deeper understanding of long term fairness via simulation studies

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Algorithmic fairness datasets: the story so far

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

The Right Tool for the Job: Open-Source Auditing Tools in Machine
  Learning


code for LMDA

Priming Cross-Session Motor Imagery Classification with A Universal Deep
  Domain Adaptation Framework

LMDA-Net:A lightweight multi-dimensional attention network for general
  EEG-based brain-computer interface paradigms and interpretability

Weight Freezing: A Regularization Approach for Fully Connected Layers
  with an Application in EEG Classification

Time-space-frequency feature Fusion for 3-channel motor imagery
  classification


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

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

A Survey of Deep Causal Models and Their Industrial Applications

Causal Effect Estimation using Variational Information Bottleneck


MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Orthogonal Over-Parameterized Training

Learning with Hyperspherical Uniformity


Pytorch implementation for "Decoupled attention network for text recognition".

Decoupled Attention Network for Text Recognition

Text Recognition in the Wild: A Survey

Recognition of Handwritten Chinese Text by Segmentation: A Segment-Annotation-Free Approach

Revisiting Scene Text Recognition: A Data Perspective

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition


A comparative study of fairness-enhancing interventions in machine learning

Understanding artificial intelligence ethics and safety

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International journal of artificial intelligence in education

Fairness Testing: A Comprehensive Survey and Analysis of Trends

The Right Tool for the Job: Open-Source Auditing Tools in Machine
  Learning


Wiktionary parser tool for many language editions.

Building basic vocabulary across 40 languages

Meeting of the Association for Computational Linguistics

Pivot-based multilingual dictionary building using Wiktionary

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

Cross-lingual alignments of ELMo contextual embeddings

Automatic creation of bilingual dictionaries for Finno-Ugric languages

Filtering Wiktionary Triangles by Linear Mbetween Distributed Word Models


using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Analysis and Visualization of Spatial Transcriptomic Data

Computational Approaches and Challenges in Spatial Transcriptomics

基因组蛋白质组与生物信息学报

GCNG: Graph convolutional networks for inferring cell-cell interactions


Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Multi-Task Learning as a Bargaining Game

FAMO: Fast Adaptive Multitask Optimization


A Label Attention Model for ICD Coding from Clinical Text

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

A Unified Review of Deep Learning for Automated Medical Coding

HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD
  Coding


For calculating Shapley values via linear regression.

A Unified Approach to Interpreting Model Predictions

Understanding Global Feature Contributions With Additive Importance Measures

Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression

FastSHAP: Real-Time Shapley Value Estimation

Shapley variable importance clouds for interpretable machine learning

A novel interpretable machine learning system to generate clinical risk
  scores: An application for predicting early mortality or unplanned
  readmission in a retrospective cohort study

Interpretable Graph Neural Networks for Tabular Data

Exploring Unified Perspective For Fast Shapley Value Estimation


An evolutionary context-integrated deep learning framework for protein engineering

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

Accurate and Definite Mutational Effect Prediction with Lightweight
  Equivariant Graph Neural Networks

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction


Customer support chatbot based on seq2seq model.

Neural Machine Translation by Jointly Learning to Align and Translate

Effective Approaches to Attention-based Neural Machine Translation

A Neural Conversational Model

Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization


The dataset for drone based detection and tracking is released, including both image/video, and annotations.

Detection and Tracking Meet Drones Challenge

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

IEEE geoscience and remote sensing magazine

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote-Sensing Images

Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions

Deep Learning Derived Object Detection and Tracking Technology Based on Sensor Fusion of Millimeter-Wave Radar/Video and Its Application on Embedded Systems

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of
  Things

A novel algorithm for small object detection based on YOLOv4

UTOPIA: Unconstrained Tracking Objects without Preliminary Examination
  via Cross-Domain Adaptation

BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision

International journal of computer vision


This is a Large-Scale SAR Ship Detection Dataset-v1.0 (LS-SSDD-v1.0) from Sentinel-1, for small ship detec-tion under large-scale backgrounds. LS-SSDD-v1.0 contains 15 large-scale SAR images whose ground truths are correctly labeled by SAR experts by drawing support from Automatic Identifica-tion System (AIS) and Google Earth. To facilitate network training, the large-scale images are directly cut into 9,000 sub-images without bells and whistles, providing convenience for subsequent detec-tion result presentation in large-scale SAR images.

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification

A polarization fusion network with geometric feature embedding for SAR ship classification

Squeeze-and-Excitation Laplacian Pyramid Network With Dual-Polarization Feature Fusion for Ship Classification in SAR Images

IEEE geoscience and remote sensing letters

High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network


Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Semantic Autoencoder for Zero-Shot Learning

Label-Embedding for Image Classification

IEEE transactions on pattern analysis and machine intelligence


Fuzzy Bag-of-Words Model for Document Representation

Sentiment Analysis of Turkish Political News

Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements

International Conference on e-Business Engineering

Sentiment analysis of big data applications using Twitter Data with the help of HADOOP framework

Collective Sentiment Mining of Microblogs in 24-Hour Stock Price Movement Prediction

N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

International Conference on Computing Communication and Networking Technologies

Announcement Based Stock Prediction

International Symposium on Computer, Consumer and Control

Qualitative Stock Market Predicting with Common Knowledge Based Nature Language Processing: A Unified View and Procedure

International Conference on Intelligent Human-Machine Systems and Cybernetics

A Bag of Words Approach for Semantic Segmentation of Monitored Scenes


Combating hidden stratification with GEORGE

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data


Code for experiments regarding importance sampling for training neural networks

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

Variance Reduction in SGD by Distributed Importance Sampling

Biased Importance Sampling for Deep Neural Network Training

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer


a tool for calcualting character n-gram F score

chrF++: words helping character n-grams

Proceedings of the Second Conference on Machine Translation

Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

Revisiting Round-Trip Translation for Quality Estimation

Unsupervised Neural Machine Translation for English and Manipuri

Character-level Transformer-based Neural Machine Translation

A Large-Scale Study of Machine Translation in the Turkic Languages

DialSummEval: Revisiting Summarization Evaluation for Dialogues

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


Improved Adversarial Training via Learned Optimizer

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"


A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

mixup: Beyond Empirical Risk Minimization

A ConvNet for the 2020s

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Contrastive Learning of General-Purpose Audio Representations

LEAF: A Learnable Frontend for Audio Classification

Adapting a ConvNeXt model to audio classification on AudioSet


Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

Continuous control with deep reinforcement learning


Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

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

Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning


The author's officially unofficial Pytorch EvolutionaryGAN implementation.

Generative Adversarial Networks

CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation


Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Explanation-Guided Training for Cross-Domain Few-Shot Classification

Meta-Learning with Self-Improving Momentum Target

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Modular Adaptation for Cross-Domain Few-Shot Learning

Combining Domain-Specific Meta-Learners in the Parameter Space for
  Cross-Domain Few-Shot Classification


Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction

Counterfactual Graph Learning for Link Prediction.

Counterfactual Learning on Graphs: A Survey

Data Augmentation for Graph Data: Recent Advancements


Tianchi Competition "Forgeries and Forensics" Track 2

U-Net: Convolutional Networks for Biomedical Image Segmentation

Squeeze-and-Excitation Networks

MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection

Recalibrating Fully Convolutional Networks with Spatial and Channel
  'Squeeze & Excitation' Blocks


Pytorch implementation of "Joint Acne Image Grading and Counting via Label Distribution Learning"

International Conference on Computer Vision

AcneGrader: An ensemble pruning of the deep learning base models to grade acne

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

Attention Mechanism Guided Deep Regression Model for Acne Severity Grading

Acne detection and severity evaluation with interpretable convolutional neural network models

Technology and health care : official journal of the European Society for Engineering and Medicine

Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review

A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images


Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Deep Learning based Vulnerability Detection: Are We There Yet?

An Empirical Study of Deep Learning Models for Vulnerability Detection

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection


DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Simultaneous Learning of the Inputs and Parameters in Neural
  Collaborative Filtering

Partial Relaxed Optimal Transport for Denoised Recommendation

Dual-embedding based Neural Collaborative Filtering for Recommender Systems

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering
  Approach


Official implementation of GCAN model(ACL2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media

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

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

Fake news detection: A survey of graph neural network methods


TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation


Code for our CVPR 2021 Paper "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal".

SlowFast Networks for Video Recognition

Proposal Relation Network for Temporal Action Detection

CBR-Net: Cascade Boundary Refinement Network for Action Detection:
  Submission to ActivityNet Challenge 2020 (Task 1)


Recent Advances in Open Set Recognition: A Survey

Reducing Network Agnostophobia

Towards Accurate Open-Set Recognition via Background-Class Regularization


SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

Scene Graph Generation: A Comprehensive Survey

Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D

2.5D Visual Relationship Detection


A Survey on Session-based Recommender Systems

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations


FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

International Conference on Information and Knowledge Management

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

International journal of data science and analytics

Fake news detection: A survey of graph neural network methods

Leveraging Users' Social Network Embeddings for Fake News Detection on
  Twitter


Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR

TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

DeepCRISPR: optimized CRISPR guide RNA design by deep learning

Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements

Predicting tumor cell line response to drug pairs with deep learning

MethylNet: an automated and modular deep learning approach for DNA methylation analysis

Bayesian clustering and imputation of single cell methylomes

Extracting microRNA-gene relations from biomedical literature using distant supervision

Disease gene prediction for molecularly uncharacterized diseases


Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

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


Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

Distributed Representations of Words and Phrases and their Compositionality

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

A Stable Variational Autoencoder for Text Modelling


This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs"

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization

Geometric Knowledge Distillation: Topology Compression for Graph Neural
  Networks


Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 110 (36), 14534-14539

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

Community detection algorithm evaluation with ground-truth data

Detecting Community Structures in Hi-C Genomic Data

The Atlas for the Aspiring Network Scientist

Evaluating the reliability, validity, and utility of overlapping networks: Implications for network theories of cognition

Overlapping Community Detection in Temporal Text Networks


HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Evading Black-box Classifiers Without Breaking Eggs

Geometrically Adaptive Dictionary Attack on Face Recognition

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


A WGS de novo assembler based on the FMD-index for large genomes

The draft genome of the grass carp (Ctenopharyngodon idellus) provides insights into its evolution and vegetarian adaptation

Exploring single-sample SNP and INDEL calling with whole-genome de novo assembly

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Next-Generation Sequence Assembly: Four Stages of Data Processing and Computational Challenges

The draft genome of a wild barley genotype reveals its enrichment in genes related to biotic and abiotic stresses compared to cultivated barley


Semi-supervised learning with graph embeddings

Semi-Supervised Classification with Graph Convolutional Networks

Revisiting Semi-Supervised Learning with Graph Embeddings

Network Representation Learning: A Survey

Deep Graph Contrastive Representation Learning

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

Graph-based Semi-supervised Learning: A Comprehensive Review

Policy-GNN: Aggregation Optimization for Graph Neural Networks

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Information Obfuscation of Graph Neural Networks

Semi-supervised Anomaly Detection on Attributed Graphs


StyleGAN2 - Official TensorFlow Implementation

Analyzing and Improving the Image Quality of StyleGAN

Improved StyleGAN Embedding: Where are the Good Latents?

Landmark Enforcement and Style Manipulation for Generative Morphing


A data dependency-aware hybrid fuzzer for Ethereum smart contracts (EuroS&P 2021).

CONFUZZIUS: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts

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


Simple and Efficient Heterogeneous Graph Neural Network

Efficient Heterogeneous Graph Learning via Random Projection


CPU/GPU/TPU implementation of the Inception Score

Improved Techniques for Training GANs

Content-Aware GAN Compression

Measuring the Transferability of Adversarial Examples

Generative Models with Information-Theoretic Protection Against
  Membership Inference Attacks


BRITS: Bidirectional Recurrent Imputation for Time Series

Generative Semi-supervised Learning for Multivariate Time Series Imputation

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


This repository contains the code for Instance Credibility Inference (ICI).

Iterative label cleaning for transductive and semi-supervised few-shot learning

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning

Realistic Evaluation of Transductive Few-Shot Learning


An equivalent circuit model (ECM) for a battery cell, module, and pack


Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"

Reward learning from human preferences and demonstrations in Atari

Scalable agent alignment via reward modeling: a research direction


CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges

Deep learning for radar data exploitation of autonomous vehicle


[NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

Differentiable Augmentation for Data-Efficient GAN Training

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

Winning Lottery Tickets in Deep Generative Models


Physics-informed learning of governing equations from scarce data

Physics-constrained robust learning of open-form PDEs from limited and
  noisy data


Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Meeting of the Association for Computational Linguistics

The Grammar of Emergent Languages

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)


QPLEX: Duplex Dueling Multi-Agent Q-Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

The Relationship Between Vitamin D and Asthma Exacerbation

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

LINDA: multi-agent local information decomposition for awareness of teammates

Rethinking Individual Global Max in Cooperative Multi-Agent
  Reinforcement Learning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization


Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019

Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries

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


Image Super-Resolution as a Defense Against Adversarial Attacks

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework


Example implementation of the DeepStack algorithm for no-limit Leduc poker

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research


Knowledge Distillation Toolkit

Distilling the Knowledge in a Neural Network

FitNets: Hints for Thin Deep Nets

Deep Mutual Learning

Relational Knowledge Distillation

KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and
  Quantization


ONT assembly and Illumina polishing pipeline

Rapid de novo assembly of the European eel genome from nanopore sequencing reads

Genomic rearrangements generate hypervariable mini-chromosomes in host-specific isolates of the blast fungus

First Report of New Delhi Metallo-β-Lactamase-6 (NDM-6) in a Clinical Acinetobacter baumannii Isolate From Northern Spain

Identification and Isolation of Two Different Subpopulations Within African Swine Fever Virus Arm/07 Stock

Nutrient Scarcity in a New Defined Medium Reveals Metabolic Resistance to Antibiotics in the Fish Pathogen Piscirickettsia salmonis

Draft Genome Sequence of Novel Metschnikowia sp. Strain JCM 33374, a Nectar Yeast Isolated from a Bumblebee

Escherichia albertii as a Potential Enteropathogen in the Light of Epidemiological and Genomic Studies


Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Fast is better than free: Revisiting adversarial training

Revisiting and Advancing Fast Adversarial Training Through The Lens of
  Bi-Level Optimization

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training


TTT Code Release

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Towards Stable Test-Time Adaptation in Dynamic Wild World

Do Image Classifiers Generalize Across Time?


Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Improved Training of Wasserstein GANs

Learning to Detect Fake Face Images in the Wild

Preliminary Forensics Analysis of DeepFake Images


A benchmark of UCAS-AOD dataset.

YOLOv3: An Incremental Improvement

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Align Deep Features for Oriented Object Detection

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images

DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection


Transformer based on a variant of attention that is linear complexity in respect to sequence length

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Efficient Attention: Attention with Linear Complexities

GLU Variants Improve Transformer

Choose a Transformer: Fourier or Galerkin

Convolutional Xformers for Vision


Deep Generative Models with Stick-Breaking Priors

Auto-Encoding Variational Bayes

Semi-Supervised Learning with Deep Generative Models

Stick-Breaking Variational Autoencoders


Pairing-based cryptography for Go

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

Cumulus: Blockchain-Enabled Privacy Preserving Data Audit in Cloud

FairShare: Blockchain Enabled Fair, Accountable and Secure Data Sharing for Industrial IoT

Distributed Data Integrity Verification Scheme in Multi-Cloud Environment


The Machine Learning Optimizer

The voice of optimization

Online Mixed-Integer Optimization in Milliseconds

Solving Recurrent MIPs with Semi-supervised Graph Neural Networks


S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

Robust universal neural vocoding

Retriever: Learning Content-Style Representation as a Token-Level
  Bipartite Graph

Toward Degradation-Robust Voice Conversion

Identifying Source Speakers for Voice Conversion based Spoofing Attacks
  on Speaker Verification Systems


Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

Temporal Knowledge Graph Forecasting with Neural ODE

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for
  Forecasting Future Links


Crystal Graph Neural Networks

Neural Message Passing for Quantum Chemistry

Crystal Graph Neural Networks for Data Mining in Materials Science

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters


⛵ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Xception: Deep Learning with Depthwise Separable Convolutions

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


Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

VCWE: Visual Character-Enhanced Word Embeddings

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

A Hybrid Learning Scheme for Chinese Word Embedding

A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task


Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (ICLR 2022)

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation


A fast and highly scalable GPU dynamic memory allocator

A Dynamic Hash Table for the GPU

Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU

International Parallel and Distributed Processing Symposium


How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

Boundary loss for highly unbalanced segmentation

A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation

Medical physics on CD-ROM/Medical physics

Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation

A Novel Boundary Loss Function in Deep Convolutional Networks to Improve the Buildings Extraction From High-Resolution Remote Sensing Images

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

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI


Sample LDP implementation in Python

Estimating Numerical Distributions under Local Differential Privacy

Locally Differentially Private Frequency Estimation with Consistency

Improving Utility and Security of the Shuffler-based Differential Privacy

Differentially Private Vertical Federated Clustering

Towards a Practical Differentially Private Collaborative Phone Blacklisting System

Differential Privacy: What is all the noise about?


Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

Get To The Point: Summarization with Pointer-Generator Networks

Neural Document Summarization by Jointly Learning to Score and Select Sentences

R-Drop: Regularized Dropout for Neural Networks

Deep Reinforcement Learning For Sequence to Sequence Models

exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Sequence Level Contrastive Learning for Text Summarization

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression

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

Improving Abstractive Document Summarization with Salient Information Modeling

A Survey of Automatic Text Summarization: Progress, Process and Challenges


Implementation for Learning to Track with Object Permanence

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

Object Permanence Emerges in a Random Walk along Memory


3D ResNets for Action Recognition

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition


Code for Weighted QMIX

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

The Relationship Between Vitamin D and Asthma Exacerbation

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

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

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization


Mitigating Adversarial Effects Through Randomization

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Image Super-Resolution as a Defense Against Adversarial Attacks

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

BUZz: BUffer Zones for defending adversarial examples in image classification


An official collection of code in different frameworks that reproduces experiments in "Group Normalization"

Group Normalization

ActMAD: Activation Matching to Align Distributions for Test-Time-Training

On the Pitfalls of Batch Normalization for End-to-End Video Learning: A
  Study on Surgical Workflow Analysis

Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference


Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Learning a Discriminative Feature Network for Semantic Segmentation

Multi-Task Pruning for Semantic Segmentation Networks

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

IEEE International Conference on Multimedia and Expo


TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Injecting Domain Adaptation with Learning-to-hash for Effective and
  Efficient Zero-shot Dense Retrieval

TLDR: Twin Learning for Dimensionality Reduction


Reference implementation for DPO (Direct Preference Optimization)

Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

A General Theoretical Paradigm to Understand Learning from Human
  Preferences

Beyond Reverse KL: Generalizing Direct Preference Optimization with
  Diverse Divergence Constraints

Can AI Assistants Know What They Don't Know?


Korean grapheme-to-phone conversion in Python

Learning pronunciation from a foreign language in speech synthesis networks

A Melody-Unsupervision Model for Singing Voice Synthesis

Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration

Workshop on Computational Approaches to Code Switching


Yu Tian et al. "CR-GAN: Learning Complete Representations for Multi-view Generation", IJCAI 2018

Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis


a signal-level demultiplexer for Oxford Nanopore reads

Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks

Molecular barcoding of native RNAs using nanopore sequencing and deep learning

Third generation sequencing revises the molecular karyotype for Toxoplasma gondii and identifies emerging copy number variants in sexual recombinants

Horizontal Gene Transfer and Fusion Spread Carotenogenesis Among Diverse Heterotrophic Protists

Do You Want to Build a Genome? Benchmarking Hybrid Bacterial Genome Assembly Methods


LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

DCA: Diversified Co-Attention towards Informative Live Video Commenting

Multimodal Matching Transformer for Live Commenting

Response to LiveBot: Generating Live Video Comments Based on Visual and
  Textual Contexts


Diffusion on manifolds for image retrieval

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Fast Spectral Ranking for Similarity Search

Learnable Pillar-based Re-ranking for Image-Text Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch

Learning Video Object Segmentation from Static Images

Lucid Data Dreaming for Video Object Segmentation

Video Object Segmentation with Re-identification


SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach

Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization


[IMPORTANT: not for real data analysis, only for algorithm evaluation] fast and accurate alignment tool for PacBio and Nanopore long reads

Minimap2: pairwise alignment for nucleotide sequences

Analysis of Transcriptome and Epitranscriptome in Plants Using PacBio Iso-Seq and Nanopore-Based Direct RNA Sequencing

Characterization and T-DNA insertion sites identification of a multiple-branches mutant br in Betula platyphylla × Betula pendula

Whole-Genome Sequence of Monascus purpureus GB-01, an Industrial Strain for Food Colorant Production

CRISPR-Analytics (CRISPR-A): A platform for precise analytics and simulations for gene editing


GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Graph Neural Network for Traffic Forecasting: A Survey

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

IEEE transactions on intelligent transportation systems

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

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Urban Regional Function Guided Traffic Flow Prediction


Ethereum Static Vulnerability Detector for Gas-Focussed Vulnerabilities

MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on programming languages

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

International Conference on Software Engineering

Smart Contract Vulnerability Detection Technique: A Survey

Precise static modeling of Ethereum “memory”

Continuous and Secure Integration Framework for Smart Contracts

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


Differential Privacy Preservation in Deep Learning under Model Attacks

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Preserving Differential Privacy in Convolutional Deep Belief Networks

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


re-implementation of googlenet batch normalization

Going Deeper with Convolutions

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Deep Representation Learning With Part Loss for Person Re-Identification

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

One-Shot Fine-Grained Instance Retrieval


List of (automatic) protocol reverse engineering tools for network protocols

Inference and analysis of formal models of botnet command and control protocols

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'10)

A Survey of Automatic Protocol Reverse Engineering Tools

Toward Unsupervised Protocol Feature Word Extraction

International Conference on Computer Communications

Learning stateful models for network honeypots

State of the art of network protocol reverse engineering tools

Journal of computer virology and hacking techniques

Bit-oriented format extraction approach for automatic binary protocol reverse engineering

Survey of Protocol Reverse Engineering Algorithms: Decomposition of Tools for Static Traffic Analysis

A Survey of Automatic Protocol Reverse Engineering Approaches, Methods, and Tools on the Inputs and Outputs View

Protocol Specification Extraction Based on Contiguous Sequential Pattern Algorithm

IPART: an automatic protocol reverse engineering tool based on global voting expert for industrial protocols

International journal of parallel, emergent and distributed systems


Word alignments generated by the Montreal Forced Aligner for the Librispeech dataset

Self-Supervised Learning for speech recognition with Intermediate layer
  supervision

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker
  Extraction

Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation


TorchCV: a PyTorch vision library mimics ChainerCV

Transferable Adversarial Attacks for Image and Video Object Detection

Leveraging Outdoor Webcams for Local Descriptor Learning

Multidomain Document Layout Understanding using Few Shot Object Detection

Improving the HardNet Descriptor


Playing with Words at the National Library of Sweden -- Making a Swedish
  BERT

Pre-training Polish Transformer-based Language Models at Scale

Implant Term Extraction from Swedish Medical Records – Phase 1: Lessons Learned

Linköping electronic conference proceedings

Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Improving text mining in plant health domain with GAN and/or pre-trained language model


Dynamic Network Embedding by Modeling Triadic Closure Process

Representation Learning for Dynamic Graphs: A Survey

Dynamic Network Embedding Survey

Node Embedding over Temporal Graphs

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE transactions on knowledge and data engineering

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Subset Node Representation Learning over Large Dynamic Graphs

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation

Robust Dynamic Network Embedding via Ensembles

Time-varying Graph Representation Learning via Higher-Order Skip-Gram
  with Negative Sampling


[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Parameterized Explainer for Graph Neural Network

Interpretable and Generalizable Graph Learning via Stochastic Attention
  Mechanism

Learning Invariant Molecular Representation in Latent Discrete Space

Interpretable Prototype-based Graph Information Bottleneck


The official PyTorch implementation of the paper: *Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma. "Fully Convolutional Line Parsing." *.

Fully Convolutional Line Parsing

A Comprehensive Review of Image Line Segment Detection and Description:
  Taxonomies, Comparisons, and Challenges


Reinforcement Learning for Gym CarRacing-v0 with PyTorch

Neuroevolution of Self-Interpretable Agents

Genetic and Evolutionary Computation Conference

Replay-Guided Adversarial Environment Design

Grounding Aleatoric Uncertainty for Unsupervised Environment Design


Structural Variant Identification Method using Long Reads

SVIM: structural variant identification using mapped long reads

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


Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®

Electroosmotic Flow of Viscoelastic Fluid through a Constriction Microchannel

A coupled finite-volume solver for numerical simulation of electrically-driven flows

Unsteady motion past a sphere translating steadily in wormlike micellar solutions: a numerical analysis

Shear Banding in 4:1 Planar Contraction

Numerical simulation of electrically-driven flows using OpenFOAM

Conjugate heat transfer in the unbounded flow of a viscoelastic fluid past a sphere

International journal of heat and fluid flow

Mapping the Volume Transfer of Graphene-Based Inks with the Gravure Printing Process: Influence of Rheology and Printing Parameters

Investigation and Modeling of the Magnetic Nanoparticle Aggregation with a Two-Phase CFD Model

Numerical study of viscoelastic upstream instability

Effect of geometric disorder on chaotic viscoelastic porous media flows


Code for the paper "Neural Question Generation from Text: A Preliminary Study"

A Survey of Knowledge-enhanced Text Generation

Neural Question Generation with Answer Pivot

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

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing

Multi-Lingual Question Generation with Language Agnostic Language Model

Meeting of the Association for Computational Linguistics


Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

Prediction of Organic Reaction Outcomes Using Machine Learning

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry
  Reactions using Neural Sequence-to-Sequence Models

A Generative Model For Electron Paths

Graph-based Molecular Representation Learning

Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis

Bidirectional Generation of Structure and Properties Through a Single
  Molecular Foundation Model


A Chinese KBQA dataset with SPARQL annotations.

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

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training
  for Language Understanding and Generation


A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Multimodal dynamics modeling for off-road autonomous vehicles

MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning

How to Sense the World: Leveraging Hierarchy in Multimodal Perception
  for Robust Reinforcement Learning Agents

Discriminative Multimodal Learning via Conditional Priors in Generative Models


Turku Event Extraction System

The Genia Event Extraction Shared Task, 2013 Edition - Overview

Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing

Workshop on Biomedical Natural Language Processing

WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting

Joint Conference on Lexical and Computational Semantics

EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction

From POS tagging to dependency parsing for biomedical event extraction

Biomedical Event Extraction as Multi-turn Question Answering

International Workshop on Health Text Mining and Information Analysis

Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts

Database : the journal of biological databases and curation


[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph Self-Supervised Learning: A Survey

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

Sparse Graph Attention Networks

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks


Official PyTorch implementation of BigVGAN (ICLR 2023)

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Vocos: Closing the gap between time-domain and Fourier-based neural
  vocoders for high-quality audio synthesis

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer


Creative Commons Attribution Share Alike 4.0 International

StereoSet: Measuring stereotypical bias in pretrained language models

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

An Efficient Multilingual Language Model Compression through Vocabulary
  Trimming

Assessing gender bias in medical and scientific masked language models
  with StereoSet

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models


Hierarchically Clustered Representation Learning

Joint Optimization of an Autoencoder for Clustering and Embedding

Clustering Images by Unmasking - A New Baseline


Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS

Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models


This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations

Instance-Conditioned GAN

Masked Autoencoders are Robust Data Augmentors

Background Splitting: Finding Rare Classes in a Sea of Background

AlphaNet: Improving Long-Tail Classification By Combining Classifiers


AutoAugment: Learning Augmentation Policies from Data

Randaugment: Practical automated data augmentation with a reduced search space

Fast AutoAugment

On the Strong Correlation Between Model Invariance and Generalization


Code for the paper "Generative Adversarial Imitation Learning"

Deep Reinforcement Learning: An Overview

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Risk-Sensitive Generative Adversarial Imitation Learning

RAIL: Risk-Averse Imitation Learning

imitation: Clean Imitation Learning Implementations

Scalable Multi-Agent Inverse Reinforcement Learning via
  Actor-Attention-Critic

Imitation learning by state-only distribution matching


Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

Machine Learning Based Analysis of Finnish World War II Photographers

Physical modelling of galaxy clusters and Bayesian inference in astrophysics

Kernel classification of connectomes based on earth mover's distance between graph spectra

Comparison of physical and observational galaxy cluster modelling


Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings

Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF

International Conference on Artificial Intelligence and Knowledge Engineering


ImageNet classifier with state-of-the-art adversarial robustness

Feature Denoising for Improving Adversarial Robustness

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Intriguing properties of adversarial training at scale

Black-Box Adversarial Attack with Transferable Model-based Embedding

Improving Adversarial Robustness via Channel-wise Activation Suppressing

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks

CorrAttack: Black-box Adversarial Attack with Structured Search


Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".

Rethinking Pseudo-LiDAR Representation

Progressive Coordinate Transforms for Monocular 3D Object Detection

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection


Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

Injecting Domain Adaptation with Learning-to-hash for Effective and
  Efficient Zero-shot Dense Retrieval

Automatic Claim Review for Climate Science via Explanation Generation


Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Kinematic 3D Object Detection in Monocular Video

Joint stereo 3D object detection and implicit surface reconstruction


DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


(CVPR 2022) Text Spotting Transformers

Text Spotting Transformers

T-MARS: Improving Visual Representations by Circumventing Text Feature
  Learning

Out-of-Vocabulary Challenge Report

Decoupling Recognition from Detection: Single Shot Self-Reliant Scene Text Spotter


PokéMon like game on iOS with Location Based Service.

ENORM: A Framework For Edge NOde Resource Management

Feasibility of Fog Computing

Edge-as-a-Service: Towards Distributed Cloud Architectures

DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments

Context-aware Distribution of Fog Applications Using Deep Reinforcement
  Learning


Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Generative Topic Embedding: a Continuous Representation of Documents

MetaLDA: a Topic Model that Efficiently Incorporates Meta information

A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

textTOvec: Deep Contextualized Neural Autoregressive Topic Models of
  Language with Distributed Compositional Prior

Nested variational autoencoder for topic modelling on microtexts with word vectors


Machine learning and deep learning resources

A few useful things to know about machine learning

Deep Learning in Bioinformatics

Deep learning for computational biology

A guide to machine learning for biologists

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Breast Cancer Histopathological Image Classification: A Deep Learning Approach

A Deep Learning Framework for Predicting Response to Therapy in Cancer.

A Guide on Deep Learning for Complex Trait Genomic Prediction


中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

Label-Aware Distribution Calibration for Long-tailed Classification

A New Sentiment-Enhanced Word Embedding Method for Sentiment Analysis


PubMed 200k RCT dataset: a large dataset for sequential sentence classification.

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts


Structure-Guided Ranking Loss for Single Image Depth Prediction

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

Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks


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


Deep neural network kernel for Gaussian process

Deep Neural Networks as Gaussian Processes

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Mitigating Uncertainty in Document Classification

Input modeling and uncertainty quantification for improving volatile residential load forecasting


A dataset of functional and defective solar cells extracted from EL images of solar modules

Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

IOP conference series. Earth and environmental science

A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images

Identifying defective solar cells in electroluminescence images using deep feature representations

Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images

Corrigendum: GAN-Based Augmentation for Improving CNN Performance of Classification of Defective Photovoltaic Module Cells in Electroluminescence Images (IOP Conf. Ser.: Earth Environ. Sci. 354 012106)

The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level
  Defective Region Segmentation


Venmo trasaction dataset for data analysis/visualization/anything

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

Allocating Stimulus Checks in Times of Crisis

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and
  Venmo Platforms

Dynamic Interventions for Networked Contagions


PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Adaptive Aggregation Networks for Class-Incremental Learning


CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions


Creative Commons Attribution 4.0 International

A Survey on Deep Learning for Named Entity Recognition

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

Cross-Domain NER using Cross-Domain Language Modeling

Multitask learning for biomedical named entity recognition with cross-sharing structure

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Dataset-aware multi-task learning approaches for biomedical named entity recognition

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning

A Comparison between Named Entity Recognition Models in the Biomedical Domain

Proceedings of the Translation and Interpreting Technology Online Conference TRITON 2021

Partially-Typed NER Datasets Integration: Connecting Practice to Theory

Regularization for Long Named Entity Recognition


Dataset to assess the disentanglement properties of unsupervised learning methods

A Style-Based Generator Architecture for Generative Adversarial Networks

Disentangling by Factorising

Isolating Sources of Disentanglement in Variational Autoencoders

Visual Prompt Tuning

On Variational Bounds of Mutual Information

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Interpretable machine learning: Fundamental principles and 10 grand challenges

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Flexibly Fair Representation Learning by Disentanglement


An Extensible Continual Learning Framework Focused on Language Models (LMs)

Continual Pre-training of Language Models

Continual Training of Language Models for Few-Shot Learning

Adapting a Language Model While Preserving its General Knowledge


MEND: Fast Model Editing at Scale

Editing Factual Knowledge in Language Models

Fast Model Editing at Scale

Editable Neural Networks

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value
  Adaptors

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Can Hurt General Abilities of Large Language Models

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Neighboring Perturbations of Knowledge Editing on Large Language Models


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Compact Bilinear Pooling

Grounding of Textual Phrases in Images by Reconstruction

Hadamard Product for Low-rank Bilinear Pooling

Analyzing the Behavior of Visual Question Answering Models

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Can you fool AI with adversarial examples on a visual Turing test

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool


Implementation of Real NVP in PyTorch

Density estimation using Real NVP

Inductive Representation Learning on Temporal Graphs

DeeProb-kit: a Python Library for Deep Probabilistic Modelling


Diagnosing and Enhancing VAE Models

Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders

Manifold-based Test Generation for Image Classifiers

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior


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.


Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Learning with uncertainty for biological discovery and design

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Language models can learn complex molecular distributions

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Barking up the right tree: an approach to search over molecule synthesis DAGs

Improving black-box optimization in VAE latent space using decoder uncertainty

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Graph-based Molecular Representation Learning

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization


DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion
  Models

InstructBooth: Instruction-following Personalized Text-to-Image
  Generation

Direct Consistency Optimization for Compositional Text-to-Image
  Personalization


Code and models from the paper "Layer Normalization"

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition

Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks


A python module for English lemmatization and inflection.

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Temporal Reasoning in Natural Language Inference

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP

Tractable Control for Autoregressive Language Generation

On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise

Robustness of Explanation Methods for NLP Models

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction

A Robustness Evaluation Framework for Argument Mining


Unsupervised Representation Learning by Predicting Image Rotations

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Unsupervised Representation Learning by Predicting Random Distances

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks

IEEE transactions on geoscience and remote sensing

A Survey on Self-Supervised Representation Learning


code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

MixGen: A New Multi-Modal Data Augmentation

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models

Are Multimodal Models Robust to Image and Text Perturbations?


BookNLP, a natural language processing pipeline for books

An Annotated Dataset of Coreference in English Literature

Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

Measuring Information Propagation in Literary Social Networks

The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts

MONAPipe: Modes of Narration and Attribution Pipeline for German Computational Literary Studies and Language Analysis in spaCy

Conference on Natural Language Processing

One Graph to Rule them All: Using NLP and Graph Neural Networks to
  analyse Tolkien's Legendarium

Improving Automatic Quotation Attribution in Literary Novels

Computational Detection of Narrativity: A Comparison Using Textual Features and Reader Response

Using NLP to Support English Teaching in Rural Schools

Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)

Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting


[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

Circle Loss: A Unified Perspective of Pair Similarity Optimization

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization


A customizable framework to create maze and gridworld environments

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of
  SGD for Gradient-Dominated Function

Preprocessing Reward Functions for Interpretability


Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Deep Reinforcement Learning: An Overview

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies

Importance Weighted Evolution Strategies


A methodology to assess the Real Impact of funds on social and environmental issues.


PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation


Learning from synthetic data - code and models

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

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

Learning Vision from Models Rivals Learning Vision from Data


This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Smooth image-to-image translations with latent space interpolations

MRL: Learning to Mix with Attention and Convolutions


Tutorial for surrogate gradient learning in spiking neural networks

Training Spiking Neural Networks Using Lessons From Deep Learning

The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

IEEE transactions on neural networks and learning systems

Toward robust and scalable deep spiking reinforcement learning

Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation


The core definition and classes of the World Wide Charging Protocol Suite


Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

OODformer: Out-Of-Distribution Detection Transformer

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness


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


RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation

A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement

International journal of advanced robotic systems

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

A Comprehensive LiDAR-based SLAM Comparison for Control of Unmanned Aerial Vehicles.

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge

Advanced Mapping Robot and High-Resolution Dataset

Path Planning of UGV Based on Bézier Curves


Optimizing Sequential Experimental Design with Deep Reinforcement
  Learning

Variational Sequential Optimal Experimental Design using Reinforcement
  Learning


Nearest Neighbor Kernel Conditional Density Estimation

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of computational and graphical statistics


A suite of routines for constructing and fitting linear transit timing variation models.

TESS hunt for young and maturing exoplanets (THYME). IV. Three small planets orbiting a 120 Myr old star in the pisces-eridanus stream

Prospects for TTV Detection and Dynamical Constraints with TESS

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906

Monthly notices of the Royal Astronomical Society

TOI-969: a late-K dwarf with a hot mini-Neptune in the desert and an eccentric cold Jupiter


ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"

Adversarial Time-to-Event Modeling

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Enabling counterfactual survival analysis with balanced representations

Proceedings of the Conference on Health, Inference, and Learning


The ACCEPT image analysis algorithm made for the Cancer-ID Project.

Circulating tumor cells in advanced non-small cell lung cancer patients are associated with worse tumor response to checkpoint inhibitors

Tumour-derived extracellular vesicles in blood of metastatic cancer patients associate with overall survival

Prognostic Significance of Gene Expression and DNA Methylation Markers in Circulating Tumor Cells and Paired Plasma Derived Exosomes in Metastatic Castration Resistant Prostate Cancer

Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis

How to Agree on a CTC: Evaluating the Consensus in Circulating Tumor Cell Scoring

Cytometry. Part A : the journal of the International Society for Analytical Cytology

Scanning Electron Microscopy of Circulating Tumor Cells and Tumor-Derived Extracellular Vesicles

HER2 expression on tumor-derived extracellular vesicles and circulating tumor cells in metastatic breast cancer

Quantifying HER-2 expression on circulating tumor cells by ACCEPT

Leukocyte-Derived Extracellular Vesicles in Blood with and without EpCAM Enrichment

EPAC-lung: European pooled analysis of the prognostic value of circulating tumour cells in small cell lung cancer


Image colorization with generative adversarial networks on the CIFAR10 dataset.

Spectral Normalization for Generative Adversarial Networks

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


Explicit Sentence Compression for Neural Machine Translation

Attention Is All You Need

Convolutional Sequence to Sequence Learning


A sage module to create (convolved) conformal block table.

Bootstrapping the half-BPS line defect

The Journal of high energy physics/The journal of high energy physics

Bootstrapping the minimal 3D SCFT

Bootstrap bound for conformal multi-flavor QCD on lattice

autoboot: a generator of bootstrap equations with global symmetry

3d ��=2 minimal SCFTs from Wrapped M5-branes

Bootstrap experiments on higher dimensional CFTs

International journal of modern physics A

Bootstrap bound on extremal Reissner-Nordström black hole in AdS

Topologically twisted renormalization group flow and its holographic dual

Exclusion inside or at the border of conformal bootstrap continent

An Automated Generation of Bootstrap Equations for Numerical Study of Critical Phenomena


Apply a clustering tool based on self-organizing-map to identify open clusters

3D Morphology of Open Clusters in the Solar Neighborhood with Gaia EDR 3. II. Hierarchical Star Formation Revealed by Spatial and Kinematic Substructures

Disruption of Hierarchical Clustering in the Vela OB2 Complex and the Cluster Pair Collinder 135 and UBC 7 with Gaia EDR3: Evidence of Supernova Quenching


Jailbreaking Black Box Large Language Models in Twenty Queries

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to
  Challenge AI Safety by Humanizing LLMs

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

Fast Adversarial Attacks on Language Models In One GPU Minute


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

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

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

Denoising Task Routing for Diffusion Models

Complexity Matters: Rethinking the Latent Space for Generative Modeling

Coneheads: Hierarchy Aware Attention


The GitHub open source software repository on interpreting super-resolution CNNs for sub-pixel motion compensation in video coding

Improved CNN-Based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding

Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding

International Conference on Information Photonics

Interpreting Super-Resolution CNNs for Sub-Pixel Motion Compensation in Video Coding


Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.

Palmprint Recognition in Uncontrolled and Uncooperative Environment

IEEE transactions on information forensics and security

A Study on Wrist Identification for Forensic Investigation

The Nipple-Areola Complex for Criminal Identification


standalone pedsim library (pedestrian simulator using social force model)

A Real-Time Approach for Chance-Constrained Motion Planning With Dynamic Obstacles

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation

MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Improving Pedestrian Prediction Models With Self-Supervised Continual Learning

Iterative Program Synthesis for Adaptable Social Navigation

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation

Learning Sensor Placement from Demonstration for UAV networks

Tight Collision Probability for UAV Motion Planning in Uncertain Environment

Simulators for Mobile Social Robots: State-of-the-Art and Challenges


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

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


ZGA prokaryotic genome assembly and annotation pipeline

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

Minimap2: pairwise alignment for nucleotide sequences

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

Assembly of long, error-prone reads using repeat graphs

Mash: fast genome and metagenome distance estimation using MinHash

BBMerge – Accurate paired shotgun read merging via overlap

NxTrim: optimized trimming of Illumina mate pair reads

A dataset of four probiotic Bifidobacterium strains genome assemblies

ZGA: a flexible pipeline for read processing, de novo assembly and annotation of prokaryotic genomes


Cycles agroecosystem model


Tests for the equality of coefficients of variation from multiple groups

Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data

Computational and mathematical methods in medicine

Natural variation in autumn expression is the major adaptive determinant distinguishing Arabidopsis FLC haplotypes

Within-Population Genome Size Variation is Mediated by Multiple Genomic Elements That Segregate Independently during Meiosis

Single cell sequencing of the small and AT-skewed genome of malaria parasites

A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors


Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks

Better Uncertainty Calibration via Proper Scores for Classification and
  Beyond

Beyond In-Domain Scenarios: Robust Density-Aware Calibration


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


Pytorch official implementation for Imitating Unknown Policies via Exploration.

Behavioral Cloning from Observation

Imitating Latent Policies from Observation


Vietnamese Punctuation Prediction using Pretrained Language Models

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models

An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction


基于CodeBert预训练模型，微调后/直接对目标数据集进行测试

RoBERTa: A Robustly Optimized BERT Pretraining Approach

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search


Parallelizing the queries in a bucket-brigade quantum random access memory

QUANTIFY: A framework for resource analysis and design verification of quantum circuits

Fast quantum circuit simulation using hardware accelerated general purpose libraries


SIP: Significant Interaction Peak caller

Analysis of Hi-C data using SIP effectively identifies loops in organisms from C. elegans to mammals

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Proximity-dependent recruitment of Polycomb Repressive Complexes by the lncRNAAirn


Certifiable Robustness to Graph Perturbations

Adversarial Attack and Defense on Graph Data: A Survey

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs,
  Point Clouds, Molecules, and More


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


Fisher forecasting code for Large Scale Structure surveys using Lagrangian Perturbation Theory.

Cosmology at high redshift -- a probe of fundamental physics

Optical depth to reionization from perturbative 21 cm clustering

Journal of Cosmology and Astroparticle Physics

Cosmology before noon with multiple galaxy populations

Improved modeling of the kinematic Sunyaev-Zel’dovich projected-fields signal and its cosmological dependence