A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: Comparison with finite element method

Computer methods in applied mechanics and engineering

Mixed formulation of physics-informed neural networks for
  thermo-mechanically coupled systems and heterogeneous domains

Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks


Adversarial Weighting for Domain Adaptation in Regression

Domain-Adversarial Training of Neural Networks

Adversarial Discriminative Domain Adaptation

Bridging Theory and Algorithm for Domain Adaptation


The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.

Review-Driven Answer Generation for Product-Related Questions in E-Commerce

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling


R package for performing Mendelian Randomization using mixture models

Guidelines for performing Mendelian randomization investigations: update for summer 2023

Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores


A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

North American Chapter of the Association for Computational Linguistics

An Encoder-decoder Approach to Predicting Causal Relations in Stories

Proceedings of the First Workshop on Storytelling


Dialog State Tracking Challenge 2 & 3 Data

“Do you follow me?”: A Survey of Recent Approaches in Dialogue State Tracking

A neural prosody encoder for end-ro-end dialogue act classification

A Comprehensive Survey of Natural Language Generation Advances from the
  Perspective of Digital Deception

Définition et détection des incohérences du système dans les dialogues orientés tâche. (We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context)

A Unifying View On Task-oriented Dialogue Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Supplementary material for "When and Why Are Pre-trained Word Embeddings Useful for Neural Machine Translation?" at NAACL 2018

Beyond English-Centric Multilingual Machine Translation

Multilingual Neural Machine Translation with Knowledge Distillation

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

Motley: Benchmarking Heterogeneity and Personalization in Federated
  Learning

Unsupervised Pivot Translation for Distant Languages

A Study of Multilingual Neural Machine Translation

Language Graph Distillation for Low-Resource Machine Translation

Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?

Cross-lingual Word Embeddings beyond Zero-shot Machine Translation


An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Gutenberg Goes Neural: Comparing Features of Dutch Human Translations with Raw Neural Machine Translation Outputs in a Corpus of English Literary Classics

Metrics of Syntactic Equivalence to Assess Translation Difficulty

Comparing the Effect of Product-Based Metrics on the Translation Process


PyTorch implementations of Self-Supervised Learning Method

Exploring Simple Siamese Representation Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning


Efficient Segmentation for Volumetric Data

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Deep learning based brain tumor segmentation: a survey

3D Quantum-inspired Self-supervised Tensor Network for Volumetric Segmentation of Brain MR Images


Implementation of self-supervised image-level contrastive pretraining methods using Keras.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Emerging Properties in Self-Supervised Vision Transformers

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning

Self-Supervised Learning by Estimating Twin Class Distributions


Seismic Deblending By Shot Repetition

Reinforcement Learning on Graphs: A Survey

Diverse Policy Optimization for Structured Action Space


Multi-modal Contrastive Representation Learning for Entity Alignment

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


IJCNN 2021: Inductive Learning on Commonsense Knowledge Graph Completion (Depreciated)

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

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


PyTorch implementations of NVDM, GSM, NTM, NTMR

Neural Variational Inference for Text Processing

Discovering Discrete Latent Topics with Neural Variational Inference

Coherence-Aware Neural Topic Modeling

Classification aware neural topic model for COVID-19 disinformation categorisation

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

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM


Taxonomic classification of viruses at Order and Family level

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

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

Metagenomic investigation of the equine faecal microbiome reveals extensive taxonomic diversity

Virome Sequencing of the Human Intestinal Mucosal–Luminal Interface

Frontiers in cellular and infection microbiology

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

Differences in Gut Virome Related to Barrett Esophagus and Esophageal Adenocarcinoma

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

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

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


Suite of tools for analysing off-target reads to find CNVs, homozygous regions, and shared haplotypes

YIPF5 mutations cause neonatal diabetes and microcephaly through endoplasmic reticulum stress

The Journal of clinical investigation/The journal of clinical investigation

Loss of MANF Causes Childhood Onset Syndromic Diabetes due to Increased Endoplasmic Reticulum Stress

SavvyCNV: Genome-wide CNV calling from off-target reads

Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism

Infancy‐onset diabetes caused by de‐regulated AMPylation of the human endoplasmic reticulum chaperone BiP


Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Optimizing Deeper Transformers on Small Datasets

Reasoning Like Program Executors

Fact-driven Logical Reasoning for Machine Reading Comprehension

A Systematic Evaluation of Large Language Models on Out-of-Distribution
  Logical Reasoning Tasks


Dynamic Analysis for Concurrent Programs

What happens-after the first race? enhancing the predictive power of happens-before based dynamic race detection

Optimal Prediction of Synchronization-Preserving Races

Atomicity Checking in Linear Time using Vector Clocks

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Data Race Detection on Compressed Traces

RegionTrack: A Trace-based Sound and Complete Checker to Debug
  Transactional Atomicity Violations and Non-Serializable Traces

Sound Dynamic Deadlock Prediction in Linear Time

Predictive Monitoring against Pattern Regular Languages

Optimistic Prediction of Synchronization-Reversal Data Races


DARTS: Differentiable Architecture Search

Scalable Bayesian Optimization Using Deep Neural Networks

Scalable Global Optimization via Local Bayesian Optimization

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization


code associated with ACL 2021 DExperts paper

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts

Unified Detoxifying and Debiasing in Language Generation via
  Inference-time Adaptive Optimization

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning

Controlled Text Generation with Hidden Representation Transformations


A wind turbine digital twin based on YAMS

Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations

A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Flexible multibody dynamics using joint coordinates and the Rayleigh‐Ritz approximation: The general framework behind and beyond Flex


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks

Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations

Testing and Emulating Modified Gravity on Cosmological Scales.


Image to Image translation, image generataton,  few shot learning

Multimodal Unsupervised Image-to-Image Translation

Few-Shot Unsupervised Image-to-Image Translation

Semi-supervised Learning for Few-shot Image-to-Image Translation


Arabic edition of BERT pretrained language models

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

A review of sentiment analysis research in Arabic language

Pre-training Polish Transformer-based Language Models at Scale

Arabic fake news detection based on deep contextualized embedding models

ORCA: A Challenging Benchmark for Arabic Language Understanding

Hybrid Enhanced Universal Dependencies Parsing

International Workshop/Conference on Parsing Technologies


Arabic edition of ALBERT pretrained language models

AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Emotion Analysis of Arabic Tweets: Language Models and Available Resources


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

Bilinear Attention Networks


PyTorch implementation of FQF, IQN and QR-DQN.

Distributional Reinforcement Learning with Quantile Regression

Implicit Quantile Networks for Distributional Reinforcement Learning

Fully Parameterized Quantile Function for Distributional Reinforcement Learning


Tools for haplotype-wise reconstruction of pseudomolecules

Diploid chromosome-scale assembly of the Muscadinia rotundifolia genome supports chromosome fusion and disease resistance gene expansion during Vitis and Muscadinia divergence

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Assembly of complete diploid-phased chromosomes from draft genome sequences


MBCGCN

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Modelling the Language of Life - Deep Learning Protein Sequences

Modeling aspects of the language of life through transfer-learning protein sequences

Modeling the language of life – Deep Learning Protein Sequences

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


The official implementation of the Graph Barlow Twins method with the experimental pipeline

Graph Self-Supervised Learning: A Survey

Large-Scale Representation Learning on Graphs via Bootstrapping

Graph Barlow Twins: A self-supervised representation learning framework for graphs

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification

Unsupervised Network Embedding Beyond Homophily

Data Augmentation on Graphs: A Technical Survey


Official implementation of "PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords" (INTERSPEECH 2023)

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition


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

Saving Dense Retriever from Shortcut Dependency in Conversational Search

Generating Information-Seeking Conversations from Unlabeled Documents

Weakly-Supervised Open-Retrieval Conversational Question Answering

Role of Attentive History Selection in Conversational Information
  Seeking


An energy landscape-based approach for measuring developmental states and inferring cellular trajectories from single cell RNA-seq data

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds

scEpath: energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data

A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks

Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of Cell–Cell Signaling during EMT Progression

Pattern Detection on Glioblastoma’s Waddington Landscape via Generative Adversarial Networks


The official codebase for the Real-Time Video Super-Resolution Challenge in Mobile AI (MAI) Workshop@ CVPR 2022 & Advances in Image Manipulation (AIM) Workshop @ ECCV 2022

Revisiting Temporal Modeling for Video Super-resolution

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency

Power Efficient Video Super-Resolution on Mobile NPUs with Deep
  Learning, Mobile AI & AIM 2022 challenge: Report


reverse gene expression score

Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets

RETRACTED ARTICLE: Computational Drug Repositioning for Gastric Cancer using Reversal Gene Expression Profiles

Validation of transcriptome signature reversion for drug repurposing in oncology


E2E NLG Challenge Evaluation metrics

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

The E2E Dataset: New Challenges For End-to-End Generation

Large Language Models Can Be Strong Differentially Private Learners

Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Learning Neural Templates for Text Generation

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation
  with Semantic Fidelity

Template Guided Text Generation for Task-Oriented Dialogue

Variational Template Machine for Data-to-Text Generation

Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast


Bayesian Optimization of Combinatorial Structures

Mercer Features for Efficient Combinatorial Bayesian Optimization

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework

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

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science


Official implementation of the Generalized Wasserstein Dice Loss in PyTorch

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge


Visualizing gene tree conflict using Phyparts, and ETE3

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

Phylogenomic Insights into Deep Phylogeny of Angiosperms Based on Broad Nuclear Gene Sampling

Capturing single-copy nuclear genes, organellar genomes, and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae

Reconstructing the Complex Evolutionary History of the Papuasian Schefflera Radiation Through Herbariomics

Multiple historical processes obscure phylogenetic relationships in a taxonomically difficult group (Lobariaceae, Ascomycota)

A Phylogenomic Perspective on Evolution and Discordance in the Alpine-Arctic Plant Clade Micranthes (Saxifragaceae)

Introgression across evolutionary scales suggests reticulation contributes to Amazonian tree diversity

Synthesis of Nuclear and Chloroplast Data Combined With Network Analyses Supports the Polyploid Origin of the Apple Tribe and the Hybrid Origin of the Maleae—Gillenieae Clade

A New Approach Using Targeted Sequence Capture for Phylogenomic Studies across Cactaceae

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


A package to predict protein inter-residue geometries from sequence data

Exploring evolution-aware & -free protein language models as protein
  function predictors

Machine learning/molecular dynamic protein structure prediction approach to investigate the protein conformational ensemble


Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable

End-to-End Beam Retrieval for Multi-Hop Question Answering

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks


[CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition

Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition


Code (in Matlab and R) to perform a spherical rotation (permutation) of a parcellated cortical map.

Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures

Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes

Hospitalisation for COVID-19 predicts long lasting cerebrovascular impairment: A prospective observational cohort study

Transcriptional and Cellular Signatures of Morphometric Similarity Remodeling in Major Depressive Disorder

Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing


InstaHide: Instance-hiding Schemes for Private Distributed Learning

mixup: Beyond Empirical Risk Minimization

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


MILE: A Multi-Level Framework for Scalable Graph Embedding

Understanding Coarsening for Embedding Large-Scale Graphs


Exploring the Limits of Language Modeling

Named Entity Recognition with stack residual LSTM and trainable bias decoding

N-gram Language Modeling using Recurrent Neural Network Estimation

Apollo: An Adaptive Parameter-wised Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF
  networks for named entity recognition


A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Memory-free Online Change-point Detection: A Novel Neural Network
  Approach


Covariance toolbox for matlab, including riemannian geometry

A Plug&Play P300 BCI Using Information Geometry

Electroencephalography-based endogenous brain–computer interface for online communication with a completely locked-in patient

Journal of neuroengineering and rehabilitation

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Gaze training supports self-organization of movement coordination in children with developmental coordination disorder

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Zenodo (CERN European Organization for Nuclear Research)

An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry


Importance Weighted Autoencoders

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Semi-Amortized Variational Autoencoders

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation


Collection of self-supervised models for speaker and language recognition tasks.

Representation Learning with Contrastive Predictive Coding

Learning Speaker Representations with Mutual Information

Self-Supervised Text-Independent Speaker Verification Using Prototypical Momentum Contrastive Learning


Notebook example of how to generate class visualizations with Caffe

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Temporal Segment Networks for Action Recognition in Videos

Generic decoding of seen and imagined objects using hierarchical visual features

Factors in Finetuning Deep Model for object detection

Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features

Feature Selective Networks for Object Detection

Learning Chained Deep Features and Classifiers for Cascade in Object Detection

CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks

Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs


The database contains a vast set of data on the properties of glass materials.

Designing optical glasses by machine learning coupled with a genetic algorithm

ViscNet: Neural network for predicting the fragility index and the temperature-dependency of viscosity

Predicting and interpreting oxide glass properties by machine learning using large datasets

GlassNet: A multitask deep neural network for predicting many glass properties

Revealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

Reproducible gray-box neural network for predicting the fragility index and the temperature-dependency of viscosity

Machine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts


Fine-Grained Entity Recognizer

A Survey on Deep Learning for Named Entity Recognition

Design Challenges for Entity Linking

Transactions of the Association for Computational Linguistics

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities

An Empirical Study on Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers.


ProxQuant: Quantized Neural Networks via Proximal Operators

Вестник Томского государственного университета

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning

Proximal Mean-field for Neural Network Quantization

Mirror Descent View for Neural Network Quantization


Official code repository for Instance Selection for GANs.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Instance Selection for GANs


The Ribosome Binding Site (RBS) Calculator can predict the translation initiation rate of a protein coding sequence in bacteria and design synthetic RBS sequences to rationally control the translation initiation rate. It is used to design synthetic biological systems.

Operon mRNAs are organized into ORF-centric structures that predict translation efficiency

Metagenomic mining of regulatory elements enables programmable species-selective gene expression


Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

Picking Winning Tickets Before Training by Preserving Gradient Flow

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

Prospect Pruning: Finding Trainable Weights at Initialization using
  Meta-Gradients

Achieving Personalized Federated Learning with Sparse Local Models

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations


A pipeline for Bacterial Whole genome sequence data analysis

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

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

Interactive metagenomic visualization in a Web browser

Centrifuge: rapid and sensitive classification of metagenomic sequences

VcfR: a package to manipulate and visualize VCF format data in R

heatmaply: an R package for creating interactive cluster heatmaps for online publishing

The Bacteria Genome Pipeline (BAGEP): an automated, scalable workflow for bacteria genomes with Snakemake


The hap-ibd program detects identity-by-descent segments in phased genotype data.

Probabilistic Estimation of Identity by Descent Segment Endpoints and Detection of Recent Selection

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

Exonic trinucleotide repeat expansions in ZFHX3 cause spinocerebellar ataxia type 4: A poly-glycine disease


Calculate the Differential Emission Measure (DEM) from solar data using regularised inversion.

Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA

A Search for the Counterparts of Quiet-Sun Radio Transients in Extreme Ultraviolet Data

Temporal evolution of oscillating coronal loops

Role of Small-scale Impulsive Events in Heating the X-Ray Bright Points of the Quiet Sun


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

Self Information Update for Large Language Models through Mitigating
  Exposure Bias

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

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

A Closer Look into Automatic Evaluation Using Large Language Models


Chromatin States Map in mouse embryonic stem cell

hnRNPK Recruits PCGF3/5-PRC1 to the Xist RNA B-Repeat to Establish Polycomb-Mediated Chromosomal Silencing

Acute depletion of the ARID1A subunit of SWI/SNF complexes reveals distinct pathways for activation and repression of transcription

Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3

The related coactivator complexes SAGA and ATAC control embryonic stem cell self-renewal through acetyltransferase-independent mechanisms

Histone exchange sensors reveal variant specific dynamics in mouse embryonic stem cells


Noise or Signal: The Role of Image Backgrounds in Object Recognition

Time Is MattEr: Temporal Self-supervision for Video Transformers

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations.


Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization

International Conference on Machine Learning

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints


Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Deep Counterfactual Regret Minimization

DREAM: Deep Regret minimization with Advantage baselines and Model-free
  learning

Single Deep Counterfactual Regret Minimization


AR1* with Latent Replay, implemented in PyTorch

Latent Replay for Real-Time Continual Learning

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays


⚾⚾ Automatic baseball pitching overlay in realtime

YOLOv4: Optimal Speed and Accuracy of Object Detection

Simple online and realtime tracking

International Conference on Information Photonics


Malware Detection by Eating a Whole EXE

Non-Negative Networks Against Adversarial Attacks

Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and
  Behavioral Malware Representations

MAB-Malware: A Reinforcement Learning Framework for Attacking Static
  Malware Classifiers


Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)

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

Make the U in UDA Matter: Invariant Consistency Learning for
  Unsupervised Domain Adaptation


Anomaly detection on X-Ray MURA dataset using GAN.

Adversarial Feature Learning

Adversarially Learned Inference

Variational Approaches for Auto-Encoding Generative Adversarial Networks


COLING2016: Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!


Graph Representation Learning via Graphical Mutual Information Maximization

Deep Graph Infomax

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Geometric Graph Representation Learning via Maximizing Rate Reduction

Unsupervised Network Embedding Beyond Homophily


Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Universal Self-Adaptive Prompting

Prompt Engineering a Prompt Engineer

Automatic Engineering of Long Prompts


Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

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

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets

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


A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

Practical and Asymptotically Exact Conditional Sampling in Diffusion
  Models

Improving Adversarial Robustness by Contrastive Guided Diffusion Process


IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell

Circular RNAs in human cancer

Expression profiling of circular RNAs and their potential role in early-stage diabetic cardiomyopathy

Identification and Functional Prediction of CircRNAs in Leaves of F1 Hybrid Poplars with Different Growth Potential and Their Parents

International journal of molecular sciences

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


Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

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

How can natural language processing help model informed drug development?: a review


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

Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection


PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

WaveNet: A Generative Model for Raw Audio

Neural Discrete Representation Learning

Unsupervised Speech Representation Learning Using WaveNet Autoencoders

IEEE/ACM transactions on audio, speech, and language processing


Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization


Integrative orthogonal non-negative matrix factorization

Deep Learning in Mining Biological Data

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction

Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure

A Review About RNA–Protein-Binding Sites Prediction Based on Deep Learning


[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?

TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?

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

Test-Time Adaptation via Self-Training with Nearest Neighbor Information

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


XenC: open-source data selection tool for NLP

The NiuTrans Machine Translation Systems for WMT20

Empirical Methods in Natural Language Processing

UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic Error Correction of Arabic Text

Meeting of the Association for Computational Linguistics

The YiTrans Speech Translation System for IWSLT 2022 Offline Shared Task

Exploiting Relative Frequencies for Data Selection


ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution

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


CP-JKU submission to DCASE 19, performant single-model CNN

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

Receptive-field-regularized CNN variants for acoustic scene classification

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

Receptive-Field Regularized CNNs for Music Classification and Tagging


This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

graph2vec: Learning Distributed Representations of Graphs

Explainable Classification of Brain Networks via Contrast Subgraphs

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia

Machine learning for learner English

International journal of learner corpus research

Learning based Methods for Code Runtime Complexity Prediction

State of the Art and Potentialities of Graph-level Learning

Learning distributed representations of graphs with Geo2DR


PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?

Learning to Embed Semantic Similarity for Joint Image-Text Retrieval

IEEE transactions on pattern analysis and machine intelligence

Reducing Predictive Feature Suppression in Resource-Constrained
  Contrastive Image-Caption Retrieval


The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Evaluating progress in automatic chest X-ray radiology report generation


COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset
  for Computer-aided COVID-19 Screening from Chest CT Images

Virtual vs. Reality: External Validation of COVID-19 Classifiers using
  XCAT Phantoms for Chest Computed Tomography

Hybrid approach for COVID-19 detection from chest radiography

IJCI. International Journal of Computers and Information

Identification of images of COVID-19 from Chest Computed Tomography (CT) images using Deep learning: Comparing COGNEX VisionPro Deep Learning 1.0 Software with Open Source Convolutional Neural Networks

Investigation of Deep Convolutional Neural Network (CNN) approaches’ accuracy for the detection of COVID-19


Failure archive for ChatGPT and similar models

ChatGPT: A Meta-Analysis after 2.5 Months

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and
  Correction of LLM Output

FELM: Benchmarking Factuality Evaluation of Large Language Models

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

International journal of data science and analytics

ChatGPT and Simple Linguistic Inferences: Blind Spots and Blinds


[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

Subsidiary Prototype Alignment for Universal Domain Adaptation


Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep
  Transfer Learning

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario

Computers & electrical engineering : an international journal

A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022

Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks

Multi‐texture features and optimized DeepNet for COVID‐19 detection using chest x‐ray images

Concurrency and computation : practice & experience

Jaya‐tunicate swarm algorithm based generative adversarial network for COVID‐19 prediction with chest computed tomography images

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling


Database of genomes integrated from the gut microbiome and other environments

New insights from uncultivated genomes of the global human gut microbiome

Genetic basis for the cooperative bioactivation of plant lignans by Eggerthella lenta and other human gut bacteria

Mucin-derived O-glycans supplemented to diet mitigate diverse microbiota perturbations

Over 50,000 Metagenomically Assembled Draft Genomes for the Human Oral Microbiome Reveal New Taxa

基因组蛋白质组与生物信息学报

Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates

KEMET – A python tool for KEGG Module evaluation and microbial genome annotation expansion

Computational and structural biotechnology journal


MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

IFormerFusion: Cross-Domain Frequency Information Learning for Infrared and Visible Image Fusion Based on the Inception Transformer

The Effect of Data Augmentation Methods on Pedestrian Object Detection

MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion

Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects


official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
  Learning

Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate
  Exploration Bias


Distributed Representations of Words and Phrases and their Compositionality

Generating Sentences from a Continuous Space

A Deep Generative Framework for Paraphrase Generation

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning


Computer aided detection using Faster-RCNN

Detecting and classifying lesions in mammograms with Deep Learning

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

Deep learning in systems medicine

Meta-repository of screening mammography classifiers


Recurrent Marked Temporal Point Processes

Intensity-Free Learning of Temporal Point Processes

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM transactions on intelligent systems and technology

A Temporal Kernel Approach for Deep Learning with Continuous-time Information


Active Learning for Convolutional Neural Networks: A Core-Set Approach

Learning Loss for Active Learning

Variational Adversarial Active Learning

Sequential Graph Convolutional Network for Active Learning

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)

Denoising Diffusion Probabilistic Models

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

LightSpeech: Lightweight and Fast Text to Speech with Neural
  Architecture Search


Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models

Programming Puzzles


Pretrained SimCLRv2 models in Pytorch

Temperature as Uncertainty in Contrastive Learning

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

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Revisiting Discriminative vs. Generative Classifiers: Theory and
  Implications


This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes

Test-Time Adaptation via Self-Training with Nearest Neighbor Information

Feature Alignment and Uniformity for Test Time Adaptation

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition


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

Efficient Estimation of Word Representations in Vector Space

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

Unsupervised Deep Embedding for Clustering Analysis


This is the official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval". CVPR 2022

Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval


transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation

FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio
  Processing

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing

Group Communication With Context Codec for Lightweight Source Separation

DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation,
  Enhancement and Separation

A Time-Domain Real-Valued Generalized Wiener Filter for Multi-Channel Neural Separation Systems

Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement

Implicit Filter-and-sum Network for Multi-channel Speech Separation


Automatically exported from code.google.com/p/sports-1m-dataset

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video

Video Activity Recognition: State-of-the-Art

CNN-VWII: An efficient approach for large-scale video retrieval by image queries

A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data


Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

Lero: A Learning-to-Rank Query Optimizer


Description of the numerical weather prediction products at MET Norway

First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea

International journal of environmental research and public health

Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling

Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint


Official PyTorch implementation of LongVideoGAN

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models

Towards Accurate Generative Models of Video: A New Metric & Challenges

Generating Long Videos of Dynamic Scenes

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation


inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

Regularizing and Optimizing LSTM Language Models

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings

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


Simple R package for ETCCDI/CRD climate change indices calculations

Analysis of extreme rainfall in Oti River Basin (West Africa)

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

A Comparative Analysis of Changes in Temperature and Precipitation Extremes since 1960 between China and Greece

Population Exposure Changes to Mean and Extreme Climate Events Over Pakistan and Associated Mechanisms

Characterization of the variability in climate extremes in the Ferkessédougou sugar complexes (Northern Côte d'Ivoire)

Proceedings of the International Association of Hydrological Sciences


Thermal face detection, tracking and analysis

A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels

IEEE transactions on instrumentation and measurement

A fully annotated thermal face database and its application for thermal facial expression recognition

International Instrumentation and Measurement Technology Conference

Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach


Find all significant local alignments between reads

Contrasting signatures of genomic divergence during sympatric speciation

Mechanisms of Surface Antigenic Variation in the Human Pathogenic Fungus Pneumocystis jirovecii

A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)

The genome of the "Sea Vomit" Didemnum vexillum


Demo code for the MDAN paper.

Unsupervised Domain Adaptation by Backpropagation

On Learning Invariant Representation for Domain Adaptation

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport

Multi-source Attention for Unsupervised Domain Adaptation.

Learning to Transfer with von Neumann Conditional Divergence

Ensemble Multi-Source Domain Adaptation with Pseudolabels


WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation
  Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on
  Zero-shot AD and 4th Place on Few-shot AD

AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly
  Localization


EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising

A novel convolutional neural network model to remove muscle artifacts from EEG

A Novel Multimodule Neural Network for EEG Denoising


Defending graph neural networks against adversarial attacks (NeurIPS 2020)

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Are Defenses for Graph Neural Networks Robust?

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural
  Networks

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

Robust Graph Representation Learning for Local Corruption Recovery


(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

From Intervention to Domain Transportation: A Novel Perspective to
  Optimize Recommendation

Debiased Recommendation with Neural Stratification


Implementation of DiffWave and SaShiMi audio generation models

DiffWave: A Versatile Diffusion Model for Audio Synthesis

It's Raw! Audio Generation with State-Space Models


Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Adversarial Learning on the Latent Space for Diverse Dialog Generation


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

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Soft-Attention Improves Skin Cancer Classification Performance


PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


Correlation Alignment for Domain Adaptation

Domain Adaptation for Visual Applications: A Comprehensive Survey

Correlation Alignment for Unsupervised Domain Adaptation

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

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

Adaptive Trajectory Prediction via Transferable GNN


SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)

4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications

Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis


Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018

Dual-modality seq2seq network for audio-visual event localization

Positive Sample Propagation along the Audio-Visual Event Line

Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual
  Downstream Tasks


A Harder ImageNet Test Set (CVPR 2021)

Natural Adversarial Examples

Masked Siamese Networks for Label-Efficient Learning

On Feature Normalization and Data Augmentation

On the Strong Correlation Between Model Invariance and Generalization

Smooth image-to-image translations with latent space interpolations

Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers

Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift

Automated Classification of Model Errors on ImageNet


Assembler for raw de novo genome assembly of long uncorrected reads.

High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing

Hybridization Dynamics and Extensive Introgression in the Daphnia longispina Species Complex: New Insights from a High-Quality Daphnia galeata Reference Genome

Genomic and Transcriptomic Insight of Giant Sclerotium Formation of Wood-Decay Fungi

Chromosomal rearrangements with stable repertoires of genes and transposable elements in an invasive forest-pathogenic fungus


Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

An overview of deep learning in medical imaging focusing on MRI

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

Pyramid Convolutional RNN for MRI Image Reconstruction

Motion Compensated Dynamic MRI Reconstruction With Local Affine Optical Flow Estimation

A Comparative Study of Unsupervised Deep Learning Methods for MRI Reconstruction

Investigative magnetic resonance imaging

Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks


XL-mHG: A Semiparametric Test for Enrichment in Ranked Lists.

GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge

The XL-mHG test for gene set enrichment

The XL-mHG test for enrichment: Algorithms, bounds, and power

The XL-mHG Test For Enrichment: A Technical Report


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

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction

ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs

Multivariate Time Series Forecasting with Transfer Entropy Graph

If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN

The Capacity and Robustness Trade-off: Revisiting the Channel
  Independent Strategy for Multivariate Time Series Forecasting

Multivariate Time Series Forecasting with Latent Graph Inference

Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting


PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Multi-modal temporal attention models for crop mapping from satellite time series

UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series


(WIP) best-practices workflow for rare disease

Origins and geographic diversification of African rice (Oryza glaberrima)

Twelve years of SAMtools and BCFtools

Nextflow enables reproducible computational workflows

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

A universal SNP and small-indel variant caller using deep neural networks

BCFtools/csq: haplotype-aware variant consequences

HTSlib: C library for reading/writing high-throughput sequencing data

igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV)

Paragraph: a graph-based structural variant genotyper for short-read sequence data

A unified haplotype-based method for accurate and comprehensive variant calling


This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network

DOPE: Distributed Optimization for Pairwise Energies


Solves the GMMNLSE in MATLAB for pulse propagation in multimode fiber, with an efficient GPU implementation

Multimode Nonlinear Fiber Optics: Massively Parallel Numerical Solver, Tutorial, and Outlook

IEEE journal of selected topics in quantum electronics

Spatiotemporal Mode-Locking in Lasers with Large Modal Dispersion

Light storage and retrieval in spherical semiconductor quantum dots with on-center hydrogen impurity in magnetic field

Wavelength-tunable mode-locked Yb-doped fiber laser based on nonlinear Kerr beam clean-up effect

Parallelization of the Generalized Multimode Nonlinear Schrödinger Equation Solver: A Performance Analysis

Communications in computer and information science


Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Computer methods and programs in biomedicine

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

Biomedical signal processing and control

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19

SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray Images

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Initial Stage COVID-19 Detection System Based on Patients' Symptoms and Chest X-Ray Images

Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images


ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes


named entity linking with latent relations

Improving Entity Linking by Modeling Latent Relations between Mentions

REL: An Entity Linker Standing on the Shoulders of Giants

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

Neural Entity Linking: A Survey of Models Based on Deep Learning

Learning Dynamic Context Augmentation for Global Entity Linking

Improving Entity Linking by Introducing Knowledge Graph Structure Information


A library for performing coverage guided fuzzing of neural networks

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

Black-box Adversarial Sample Generation Based on Differential Evolution

Reducing DNN Properties to Enable Falsification with Adversarial Attacks

International Conference on Software Engineering


[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

Hierarchical Self-supervised Representation Learning for Movie Understanding

Video Event Extraction via Tracking Visual States of Arguments


Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Linformer: Self-Attention with Linear Complexity

Rethinking Attention with Performers

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


Hierarchical Graph Network for Multi-hop Question Answering

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

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

How Well Do Multi-hop Reading Comprehension Models Understand Date
  Information?

Enhancing text comprehension for Question Answering with Contrastive Learning

Workshop on Representation Learning for NLP


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

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


Genome free discovery and classification of miRNAs from small RNA-Seq with random forests

Mirnovo: genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests

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

International journal of molecular sciences

The Multiverse of Plant Small RNAs: How Can We Explore It?


NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Learning from Noisy Labels with Deep Neural Networks: A Survey

How Out-of-Distribution Data Hurts Semi-Supervised Learning

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


Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

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

Train/Test-Time Adaptation with Retrieval


Bundle Recommendation with Graph Convolutional Networks

Bundle Recommendation and Generation With Graph Neural Networks

IEEE transactions on knowledge and data engineering

Accurate Bundle Matching and Generation via Multitask Learning with
  Partially Shared Parameters

Economic Recommender Systems -- A Systematic Review


Source code of the paper "Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task" published in LREC 2020.

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential
  of Large Language Models for Food Applications

PerCQA: Persian Community Question Answering Dataset


A public endoscopic video dataset for polyp detection

LDPolypVideo Benchmark: A Large-Scale Colonoscopy Video Dataset of Diverse Polyps

Medical Image Computing and Computer-Assisted Intervention

Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets


A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss

LaFurca: Iterative Multi-Stage Refined End-to-End Monaural Speech Separation Based on Context-Aware Dual-Path Deep Parallel Inter-Intra Bi-LSTM


Exploring Self-attention for Image Recognition, CVPR2020.

Involution: Inverting the Inherence of Convolution for Visual Recognition

Studying inductive biases in image classification task


A PyTorch implementation of DenseNet.

Densely Connected Convolutional Networks

FreezeOut: Accelerate Training by Progressively Freezing Layers

To Ensemble or Not Ensemble: When does End-To-End Training Fail?

Automatic Data Augmentation by Learning the Deterministic Policy


IQA: Deep Image Structure and Texture Similarity Metric

Image Quality Assessment: Unifying Structure and Texture Similarity

IEEE transactions on pattern analysis and machine intelligence

CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression


Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Revisiting Contextual Toxicity Detection in Conversations

Text Style Transfer with Contrastive Transfer Pattern Mining

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

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

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


Official repository for CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models


Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation
  Models

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Guess What Moves: Unsupervised Video and Image Segmentation by
  Anticipating Motion

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion
  Models

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling


The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

NVAE: A Deep Hierarchical Variational Autoencoder

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

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents

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

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

Improving the Effectiveness of Deep Generative Data


Automatic colorizaton of grayscale images using Deep Learning

Learning Representations for Automatic Colorization

Image Colorization: A Survey and Dataset

Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning


Image De-raining Using a Conditional Generative Adversarial Network

Image De-Raining Using a Conditional Generative Adversarial Network

Rain Removal in Traffic Surveillance: Does it Matter?

IEEE transactions on intelligent transportation systems

Towards Unified Deep Image Deraining: A Survey and A New Benchmark


Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

Data Augmentation on Graphs: A Technical Survey

Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks


Hclust2 is a handy tool for plotting heat-maps with several useful options to produce high quality figures that can be used in publication.

Evolution of antibiotic resistance at low antibiotic concentrations including selection below the minimal selective concentration

Remodeling of the maternal gut microbiome during pregnancy is shaped by parity

Hallstatt miners consumed blue cheese and beer during the Iron Age and retained a non-Westernized gut microbiome until the Baroque period

Isolation of Elizabethkingia anophelis From COVID-19 Swab Kits

Long-Term, Simultaneous Impact of Antimicrobials on the Efficiency of Anaerobic Digestion of Sewage Sludge and Changes in the Microbial Community

The Time Sequence of Gene Expression Changes after Spinal Cord Injury

Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition


Data for the quantitative study of (Vedic) Sanskrit

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

Dating and Stratifying a Historical Corpus with a Bayesian Mixture Model

LDA Topic Modeling for pramāṇa Texts: A Case Study in Sanskrit NLP Corpus Building

PROCEEDINGS OF THE 6TH INTERNATIONAL SANSKRIT COMPUTATIONAL LINGUISTICS SYMPOSIUM (ISCLS 2019)


Repository for NAACL 2019 paper on Citation Intent prediction

Structural Scaffolds for Citation Intent Classification in Scientific Publications

The Semantic Scholar Open Data Platform

A meta-analysis of semantic classification of citations

CiteBench: A benchmark for Scientific Citation Text Generation


PyTorch implementation of the position-aware attention model for relation extraction

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Position-aware Attention and Supervised Data Improve Slot Filling

Empirical Methods in Natural Language Processing

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

SENT: Sentence-level Distant Relation Extraction via Negative Training

Modeling Multi-Granularity Hierarchical Features for Relation Extraction


Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Addressing Function Approximation Error in Actor-Critic Methods

Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera

Sample Efficient Ensemble Learning with Catalyst.RL


Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

To Embed or Not: Network Embedding as a Paradigm in Computational Biology

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

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

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

An Unpooling Layer for Graph Generation


Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

Decoupled Training for Long-Tailed Classification With Stochastic
  Representations


Pytorch implementation of Graph U-Nets (ICML19)

Graph U-Nets

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Hierarchical message-passing graph neural networks

Adversarial Attacks on Graph Classification via Bayesian Optimisation

State of the Art and Potentialities of Graph-level Learning

Graph neural networks and attention-based CNN-LSTM for protein
  classification


Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Energy-based Out-of-distribution Detection

Deep Deterministic Uncertainty: A New Simple Baseline

Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data


Koopman operator identification library in Python, compatible with `scikit-learn`

Modern Koopman Theory for Dynamical Systems

System Norm Regularization Methods for Koopman Operator Approximation

Linear Matrix Inequality Approaches to Koopman Operator Approximation

The Multiverse of Dynamic Mode Decomposition Algorithms


Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Graph Infomax

Deep Learning on Graphs: A Survey

Graph Self-Supervised Learning: A Survey

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

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding


MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra


ICRA 2018  "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

Deeper Depth Prediction with Fully Convolutional Residual Networks

DistPro: Searching A Fast Knowledge Distillation Process via Meta
  Optimization


Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

Label-Efficient Semantic Segmentation with Diffusion Models

RRL: Resnet as representation for Reinforcement Learning

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Feature Unlearning for Pre-trained GANs and VAEs

Re-parameterizing VAEs for stability

Posterior Matching for Arbitrary Conditioning


ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

HybridNets: End-to-End Perception Network

You Only Look at Once for Real-time and Generic Multi-Task


Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Better Diffusion Models Further Improve Adversarial Training

A Recipe for Watermarking Diffusion Models

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

Minimizing Trajectory Curvature of ODE-based Generative Models

Restart Sampling for Improving Generative Processes

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Diff-Instruct: A Universal Approach for Transferring Knowledge From
  Pre-trained Diffusion Models

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels


[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation

Medical Image Segmentation with Domain Adaptation: A Survey


MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019, with Travel awards)

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

Improving Character Error Rate Is Not Equal to Having Clean Speech:
  Speech Enhancement for ASR Systems with Black-box Acoustic Models


PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

Exploring Simple Siamese Representation Learning

Improved Baselines with Momentum Contrastive Learning

Representational Continuity for Unsupervised Continual Learning

The Challenges of Continuous Self-Supervised Learning

GANORCON: Are Generative Models Useful for Few-shot Segmentation?

Learning Visual Representations via Language-Guided Sampling

An Investigation into Whitening Loss for Self-supervised Learning

A Survey on Self-Supervised Representation Learning

Latent Diffusion Counterfactual Explanations


Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

Joint entity recognition and relation extraction as a multi-head selection problem

Entity-Relation Extraction as Multi-Turn Question Answering

Neural End-to-End Learning for Computational Argumentation Mining

End-to-End Neural Relation Extraction with Global Optimization

A Walk-based Model on Entity Graphs for Relation Extraction

Extracting Entities and Relations with Joint Minimum Risk Training

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information

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

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models


RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Modeling Context in Referring Expressions

GuessWhat?! Visual object discovery through multi-modal dialogue

RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data

Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge


Contrasting signatures of genomic divergence during sympatric speciation

Tracking human population structure through time from whole genome sequences

Insights into Mus musculus Population Structure across Eurasia Revealed by Whole-Genome Analysis

Transcontinental dispersal of Anopheles gambiae occurred from West African origin via serial founder events

The origin of island populations of the African malaria mosquito, Anopheles coluzzii

Whole-genome sequencing analysis of wild house mice (Mus musculus) captured in Madagascar.


EANN: event-adversarial neural networks for multi-modal fake news detection

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Detecting fake news by exploring the consistency of multimodal data

Multimodal Emergent Fake News Detection via Meta Neural Process Networks

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Fact-Enhanced Synthetic News Generation


Anomaly Detection via Reverse Distillation from One-Class Embedding

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

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection

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

ReContrast: Domain-Specific Anomaly Detection via Contrastive
  Reconstruction


Unsupervised Sound Separation Using Mixture Invariant Training

Training Sound Event Detection On A Heterogeneous Dataset

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation

Improving On-Screen Sound Separation for Open-Domain Videos with
  Audio-Visual Self-Attention


Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Deep Evidential Regression

The Unreasonable Effectiveness of Deep Evidential Regression

Quantifying uncertainty of machine learning methods for loss given default

Frontiers in applied mathematics and statistics

Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior
  Predictive Checks with Deep Learning


predicting expression effects of human genome variants ab initio from sequence

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

GWAS of five gynecologic diseases and cross-trait analysis in Japanese

European journal of human genetics : EJHG

Evaluating the informativeness of deep learning annotations for human complex diseases

Decoding differential gene expression


Formally-verified reference monitor for a secure isolated execution ("enclave") environment on ARM TrustZone

Komodo: Using verification to disentangle secure-enclave hardware from software

Symposium on Operating Systems Principles

Towards a Formally Verified Security Monitor for VM-based Confidential Computing


Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

DiffuRec: A Diffusion Model for Sequential Recommendation

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

Improving Micro-video Recommendation via Contrastive Multiple Interests


Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Single-Path NAS: Device-Aware Efficient ConvNet Design


UCSC command line bioinformatic utilities

An atlas of dynamic chromatin landscapes in mouse fetal development

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

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

Transcription-driven chromatin repression of Intragenic transcription start sites

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

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

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

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

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

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

Adaptive sequence divergence forged new neurodevelopmental enhancers in humans


Autoencoder for Point Clouds

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

PointGMM: a Neural GMM Network for Point Clouds

Cascaded Refinement Network for Point Cloud Completion with
  Self-supervision

Modeling Fabric-Type Actuator Using Point Clouds by Deep Learning


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

Deep Learning on Graphs: A Survey


KAIST Multispectral Pedestrian Detection Benchmark [CVPR '15]

Unsupervised Image-to-Image Translation Networks

Multispectral Deep Neural Networks for Pedestrian Detection

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

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

Robust Pedestrian Detection Based on Multi-Spectral Image Fusion and Convolutional Neural Networks

Dual-YOLO Architecture from Infrared and Visible Images for Object Detection

Infrared Image Caption Based on Object-Oriented Attention


Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

Constrained-CNN losses for weakly supervised segmentation

PseudoEdgeNet: Nuclei Segmentation only with Point Annotations

Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models

BoxSnake: Polygonal Instance Segmentation with Box Supervision


A library for running membership inference attacks against ML models

Membership Inference Attacks against Machine Learning Models

Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data

Accurate Differentially Private Deep Learning on the Edge

IEEE transactions on parallel and distributed systems

Data Provenance via Differential Auditing

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


This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

Acoustic echo cancellation with the dual-signal transformation LSTM
  network

F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement

Real-time speech enhancement with dynamic attention span


Reads simulator

LUMPY: A probabilistic framework for structural variant discovery

An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies

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

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

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

Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

Population scale mapping of transposable element diversity reveals links to gene regulation and epigenomic variation

The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies


2D Helmholtz scattering and eigenvalue problems via particular solutions and integral equations

Comparable upper and lower bounds for boundary values of Neumann eigenfunctions and tight inclusion of eigenvalues

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

Computation of Scattering Matrices and their Derivatives for Waveguides


SOTA Semantic Segmentation Models in PyTorch

A ConvNet for the 2020s

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Unified Perceptual Parsing for Scene Understanding

PVT v2: Improved baselines with Pyramid Vision Transformer

MetaFormer is Actually What You Need for Vision

ResNet strikes back: An improved training procedure in timm

Semantic Flow for Fast and Accurate Scene Parsing

HarDNet: A Low Memory Traffic Network

Visual Attention Network

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes


3.8% and 18.3% on CIFAR-10 and CIFAR-100

Wide Residual Networks

Learn To Pay Attention

Neural Attention Distillation: Erasing Backdoor Triggers from Deep
  Neural Networks

Decorrelated Batch Normalization

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

Shakedrop Regularization for Deep Residual Learning

Regularizing CNNs with Locally Constrained Decorrelations

Iterative Normalization: Beyond Standardization towards Efficient Whitening

Approximating the Gradient of Cross-Entropy Loss Function

Hybrid Discriminative-Generative Training via Contrastive Learning


Windowed Adaptive Trimming for fastq files using quality

Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system

Swarm: robust and fast clustering method for amplicon-based studies

Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics

Rapid transcriptional plasticity of duplicated gene clusters enables a clonally reproducing aphid to colonise diverse plant species

Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton

Microbes in the neonatal intensive care unit resemble those found in the gut of premature infants

Metabolic network analysis reveals microbial community interactions in anammox granules

Subsistence strategies in traditional societies distinguish gut microbiomes


Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

FlowNet: Learning Optical Flow with Convolutional Networks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Optical Flow Estimation using a Spatial Pyramid Network


Density-aware Single Image De-raining using a Multi-stream Dense Network  (CVPR 2018)

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network

UG 2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)

Towards Unified Deep Image Deraining: A Survey and A New Benchmark


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

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

Controllable Dialogue Simulation with In-Context Learning

Diable: Efficient Dialogue State Tracking as Operations on Tables


Genome Improvement and Core Gene Set Refinement of Fugacium kawagutii

The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species

Genomic Insights into Genetic Diploidization in the Homosporous Fern Adiantum nelumboides

The genome of a hadal sea cucumber reveals novel adaptive strategies to deep-sea environments

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

Chromosomal-level genome assembly of the orchid tree Bauhinia variegata (Leguminosae; Cercidoideae) supports the allotetraploid origin hypothesis of Bauhinia

DNA research : an international journal for rapid publication of reports on genes and genomes

Comparative and population genomics of buckwheat species reveal key determinants of flavor and fertility

Chromosomal-level genome assembly of Melastoma candidum provides insights into trichome evolution

Chromosome-level genome assembly of watershield (Brasenia schreberi)


Actor-based Communication via Reaction-Diffusion. A molecular communication simulator. Simulates stochastic reaction-diffusion systems.

Simulating with AcCoRD: Actor-based Communication via Reaction–Diffusion

Active versus Passive: Receiver Model Transforms for Diffusive Molecular Communication

3D Stochastic Geometry Model for Large-Scale Molecular Communication Systems


GA-Net: Guided Aggregation Net for End-to-end Stereo Matching


Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Versatile Multi-Modal Pre-Training for Human-Centric Perception

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based
  Cross-View Gait Pose Estimation


Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites

Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites


Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

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

All SMILES Variational Autoencoder

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in research metrics and analytics

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

BERT Learns (and Teaches) Chemistry

Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer

AI-Aided Search for New HIV-1 Protease Ligands


It'll detect your anomalies! Part of the Kale stack.

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Real-Time Anomaly Detection for Streaming Analytics

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Neural networks : the official journal of the International Neural Network Society

Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

IEEE transactions on industrial informatics

A Review of Open Source Software Tools for Time Series Analysis


CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Learning Spatial Awareness to Improve Crowd Counting

C^3 Framework: An Open-source PyTorch Code for Crowd Counting

Critical Aspects of Person Counting and Density Estimation


source code for EVM

A draft genome, resequencing, and metabolomes reveal the genetic background and molecular basis of the nutritional and medicinal properties of loquat (Eriobotrya japonica (Thunb.) Lindl)

The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light-use efficiency.

The Plant journal : for cell and molecular biology

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

A draft genome at chromosome level and metabolomes of leave, root and flowers provide insights into the molecular basis of medicinal ingredients of loquat (Eriobotrya japonica (Thunb.) Lindl)

High subtelomeric GC content in the genome of a zoonotic Cryptosporidium species


VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

StyleTTS: A Style-Based Generative Model for Natural and Diverse
  Text-to-Speech Synthesis

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

Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform

SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero-Shot Multi-Speaker Text-to-Speech

Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis

DiffVoice: Text-to-Speech with Latent Diffusion

NIX-TTS: Lightweight and End-to-End Text-to-Speech Via Module-Wise Distillation


Quantum Natural Language Processing (QNLP)'s project repository for Qiskit Hackathon Europe.

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Foundations for Near-Term Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing


Corpus of Coq code related to MathComp including several machine-readable representations

Deep Generation of Coq Lemma Names Using Elaborated Terms

Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning


This project develops the program FORGE. It allows to calculate gene p-values from Genome-Wide Association Data using multivariate methods. The gene-level statistics can be used for pathway or other system biology analyses (check out sister project for additional on pathway analysis with GWAS data: https://github.com/inti/GeneSetAnalysis/wiki). Check our Wiki for more details

Reduced Anxiety and Depression-Like Behaviours in the Circadian Period Mutant Mouse Afterhours

FORGE: multivariate calculation of gene-wide p-values from Genome-Wide Association Studies


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

Learning with Opponent-Learning Awareness

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

Real-Time Reinforcement Learning


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

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

Efficient Neural Architecture Search via Proximal Iterations


Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

Classification with costly features as a sequential decision-making problem