Source Code of GraRep

A Survey on Network Embedding

Network Representation Learning: A Survey

Network representation learning systematic review: ancestors and current development state

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Dual-Channel Heterogeneous Graph Network for Author Name Disambiguation

Semantic Random Walk for Graph Representation Learning in Attributed Graphs


Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

Methods for Computing Legal Document Similarity: A Comparative Study

Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis

Data-Centric Machine Learning in the Legal Domain


Code and data for paper "Embedding Uncertain Knowledge Graphs"

Embedding Uncertain Knowledge Graphs

Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning

Uncertain Knowledge Graph Embedding: a Natural and Effective Approach


Motion Averaging

Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot


The Planheat tool is the heart of the Planheat project (http://planheat.eu/). Composed of several modules, it will help your city to simulate its way to decarbonising its heating and cooling system by showing you economically feasible scenarios.


Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

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

Knowledge from Uncertainty in Evidential Deep Learning

Function-Space Regularization for Deep Bayesian Classification


Repository providing a wide range of self-supervised pretrained models for computer vision tasks.

A Simple Framework for Contrastive Learning of Visual Representations

Improved Baselines with Momentum Contrastive Learning

Self-Supervised Pretraining Improves Self-Supervised Pretraining


Whole genome core alignments from multiple draft genomes

Staphylococcal Protein A (spa) Locus Is a Hot Spot for Recombination and Horizontal Gene Transfer in Staphylococcus pseudintermedius

Extensive Comparative Genomic Analysis of Enterococcus faecalis and Enterococcus faecium Reveals a Direct Association between the Absence of CRISPR–Cas Systems, the Presence of Anti-Endonuclease (ardA) and the Acquisition of Vancomycin Resistance in E. faecium

Comprehensive whole genome analysis of Staphylococcus aureus isolates from dairy cows with subclinical mastitis


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

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

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

Backdoor Defense via Deconfounded Representation Learning

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


Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound


PsiQuaSP -- Permutation symmetry for identical Quantum Systems Package

Open quantum systems with local and collective incoherent processes: Efficient numerical simulations using permutational invariance

Superradiant to subradiant phase transition in the open system Dicke model: dark state cascades

PsiQuaSP–A library for efficient computation of symmetric open quantum systems


BigVGAN: A Universal Neural Vocoder with Large-Scale Training

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

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


Dense Dilated Convolutions Merging Network for Semantic Segmentation

Dense Dilated Convolutions Merging Network for Land Cover Classification

IEEE Transactions on Geoscience and Remote Sensing

Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images

Cycloidal CT with CNN-based sinogram completion and in-scan generation of training data


Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility

Reinforced UI Instruction Grounding: Towards a Generic UI Task Automation API


MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems

Tensor Arnoldi–Tikhonov and GMRES-Type Methods for Ill-Posed Problems with a t-Product Structure

Computational methods for large-scale inverse problems: a survey on hybrid projection methods

Gauss-Newton Optimization for Phase Recovery from the Bispectrum

Randomized core reduction for discrete ill-posed problem

On Non-Negative Quadratic Programming in Geometric Optimization

Frontal Slice Approaches for Tensor Linear Systems


residual-SqueezeNet

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization


CGView is a Java package for generating high-quality, zoomable maps of circular genomes.

Markers to Rapidly Distinguish Bacillus paralicheniformis From the Very Close Relative, Bacillus licheniformis

Characterization of Klebsiella pneumoniae carrying the blaNDM-1 gene in IncX3 plasmids and the rare In1765 in an IncFIB-IncHI1B plasmid

Occurrence and characterization of plasmids carrying tmexCD1-toprJ1, blaDHA-1, and blaCTX-M-127, in clinical Klebsiella pneumoniae strains.

Frontiers in cellular and infection microbiology


Implementation of "PanNet: A deep network architecture for pan-sharpening"

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

A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network

A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


Dataset and code for Findings of EMNLP'21 paper "CodeQA: A Question Answering Dataset for Source Code Comprehension".

A Transformer-based Approach for Source Code Summarization

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Are we really making much progress? A worrying analysis of recent neural recommendation approaches

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization

ContentWise Impressions: An Industrial Dataset with Impressions Included

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

On the Generalizability and Predictability of Recommender Systems

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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

Improving Accountability in Recommender Systems Research Through Reproducibility


Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

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

On the Generalization and Adaption Performance of Causal Models


Official implementation of "On GANs and GMMs"

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

On GANs and GMMs

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

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

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


A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Gated Graph Sequence Neural Networks

Toward efficient interactions between Python and native libraries

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

Expressive Graph Informer Networks

Graph Informer Networks for Molecules.

Holistic Prediction on a Time-Evolving Attributed Graph

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


Extended Complexity Library in R

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

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

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

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


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

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

Instruction Tuning for Large Language Models: A Survey

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

Chinese Open Instruction Generalist: A Preliminary Release


The CARMENES search for exoplanets around M dwarfs. Radial velocities and activity indicators from cross-correlation functions with weighted binary masks.

The CARMENES search for exoplanets around M dwarfs. Guaranteed time observations Data Release 1 (2016-2020)

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone

Two super-Earths at the edge of the habitable zone of the nearby M dwarf TOI-2095

Precise mass determination for the keystone sub-Neptune planet transiting the mid-type M dwarf G 9-40


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

Stock Movement Prediction from Tweets and Historical Prices

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

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

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

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

Incorporating Transformers and Attention Networks for Stock Movement Prediction

Fundamental Analysis Based Neural Network for Stock Movement Prediction


Learning Chinese Word Representations From Glyphs Of Characters

VCWE: Visual Character-Enhanced Word Embeddings

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


Training data extraction on GPT-2

Extracting Training Data from Large Language Models

Training Data Extraction From Pre-trained Language Models: A Survey

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models


[ SIGIR '20 ] How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

Multi-Pointer Co-Attention Networks for Recommendation

TransNets: Learning to Transform for Recommendation

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

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


Supervised Contrastive Learning

Combination of Multiple Global Descriptors for Image Retrieval

Dog nose print matching with dual global descriptor based on Contrastive Learning


This blog post visualize vector norms of FastText embedding and evaluates use of FastText word vector norm multiplied with number of word n-grams for detecting non-english OOV words.

Enriching Word Vectors with Subword Information

Measuring Word Significance using Distributed Representations of Words

Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors


Neural Temporal Point Processes For Modelling Electronic Health Records

Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

Concurrent Multi-Label Prediction in Event Streams

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 8


A pytorch toolbox designed for experimentation using a generalization of the Resnet design.

Stable Architectures for Deep Neural Networks

Deep Neural Networks Motivated by Partial Differential Equations

Reversible Architectures for Arbitrarily Deep Residual Neural Networks


A bundle of analytics tools for fisheries scientists


A Benchmark Data Set for Community Question-Answering Research

A Deep Look into Neural Ranking Models for Information Retrieval

CQADupStack: A benchmark data set for community question-answering research

Australasian Document Computing Symposium

Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection

Empirical Methods in Natural Language Processing


PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Pre-training Polish Transformer-based Language Models at Scale

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

Learning for amalgamation: A multi-source transfer learning framework for sentiment classification

Investigating Monolingual and Multilingual BERT Models for Vietnamese Aspect Category Detection

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

A Combination of BERT and Transformer for Vietnamese Spelling Correction

An Empirical Study for Vietnamese Constituency Parsing with Pre-training

Utilizing Bert for Question Retrieval on Vietnameses E-commerce Sites

Pacific Asia Conference on Language, Information, and Computation

ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites


Python package for conformal prediction

Regression conformal prediction with random forests

Accelerating difficulty estimation for conformal regression forests

Annals of Mathematics and Artificial Intelligence

Approximating Score-based Explanation Techniques Using Conformal Regression


inferring RBP binding sites and motifs using local and global CNNs

Densely Connected Convolutional Networks

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

Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data

Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type

International journal of molecular sciences


Prediction of enhancer-promoter interactions via natural language processing

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

Computational and structural biotechnology journal

Machine and deep learning methods for predicting 3D genome organization


tensorflow-as-gcn

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

GraphSAINT: Graph Sampling Based Inductive Learning Method

Adaptive Sampling Towards Fast Graph Representation Learning

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Bandit Samplers for Training Graph Neural Networks

Dimensional Reweighting Graph Convolutional Networks

IGLU: Efficient GCN Training via Lazy Updates

Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs

Graph Generative Model for Benchmarking Graph Neural Networks


1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.

Masked Autoencoders Are Scalable Vision Learners

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training


Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

Personalized Federated Learning with First Order Model Optimization

Architectural Patterns for the Design of Federated Learning Systems

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

FLRA: A Reference Architecture for Federated Learning Systems

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment


Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Deep k-Means: Jointly clustering with k-Means and learning representations

Seed-Guided Deep Document Clustering


Ælæctra was created as part of a Cognitive Science bachelor thesis, in the attempt to enhance the Danish NLP community with a more efficient Transformer-based language model.

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

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

DaCy: A Unified Framework for Danish NLP


Dual Sparse Attention Network For Session-based Recommendation

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

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

Findings of the Association for Computational Linguistics: EMNLP 2022


Graph Filter Neural Network (ICPR'20)

Deep Learning on Graphs: A Survey

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

Revisiting Graph Neural Networks: Graph Filtering Perspective

International Conference on Pattern Recognition

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Calculate GC% and GC deviation for circular genomes

Identification and Full Characterisation of Two Novel Crustacean Infecting Members of the Family Nudiviridae Provides Support for Two Subfamilies

The expanded plant-like mitogenome of the invasive quagga mussel, Dreissena rostriformis

Profiling cell envelope-antibiotic interactions reveals vulnerabilities to β-lactams in a multidrug-resistant bacterium

Diversity and Evolution of an Abundant ICEclc-Family of Integrative and Conjugative Elements inPseudomonas aeruginosa

“Evaluating the Benefits and Limits of Multiple Displacement Amplification with Whole-Genome Oxford Nanopore Sequencing”

bioRxiv : the preprint server for biology


Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

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

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization

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

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks


Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

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

Graph Neural Rough Differential Equations for Traffic Forecasting


使用预训练语言模型BERT做中文NER

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PERT: Pre-training BERT with Permuted Language Model

LERT: A Linguistically-motivated Pre-trained Language Model


TuckER: Tensor Factorization for Knowledge Graph Completion

Temporal Knowledge Graph Forecasting with Neural ODE

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

LowFER: Low-rank Bilinear Pooling for Link Prediction

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Single UHD Image Dehazing via Interpretable Pyramid Network

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models

NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion


Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

On Inductive Biases for Heterogeneous Treatment Effect Estimation

Experimental Standards for Deep Learning in Natural Language Processing Research

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability

Adversarial De-confounding in Individualised Treatment Effects Estimation

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation

A Survey of Deep Causal Models and Their Industrial Applications

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments


SAL: Sign Agnostic Learning of Shapes From Raw Data

Implicit Geometric Regularization for Learning Shapes

SAL: Sign Agnostic Learning of Shapes from Raw Data

Controlling Neural Level Sets

SALD: Sign Agnostic Learning with Derivatives

LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation


CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval

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

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


:dart: Human transcription factor target genes from 6 databases in convenient R format.

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase

Contributions of HOX genes to cancer hallmarks: Enrichment pathway analysis and review

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine

Multi-Omic Regulation of the PAM50 Gene Signature in Breast Cancer Molecular Subtypes

Machine Learning Identifies Robust Matrisome Markers and Regulatory Mechanisms in Cancer

Age and Sex-Related Changes in Human First-Trimester Placenta Transcriptome and Insights into Adaptative Responses to Increased Oxygen

Transcriptome and miRNome Analysis Provide New Insight Into Host Lipid Accumulation, Innate Immunity, and Viral Persistence in Hepatitis C Virus Infection in vitro

An Integrative Multi-Omics Analysis of The Molecular Links between Aging and Aggressiveness in Thyroid Cancers

An Information Theoretical Multilayer Network Approach to Breast Cancer Transcriptional Regulation

Alterations in oligodendrocyte transcriptional networks reveal region-specific vulnerabilities to neurological disease


A Python package for mapping sequence aligned data onto protein structures

Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens

Proteome-wide mapping of immune features onto Plasmodium protein three-dimensional structures

BioStructMap: a Python tool for integration of protein structure and sequence-based features


A simple and effective method for single-class classification of images

Deep Anomaly Detection Using Geometric Transformations

Uncertainty-Aware Deep Classifiers using Generative Models

Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success


An Optimized Nested TAD caller for Hi-C data

OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries

SpectralTAD: an R package for defining a hierarchy of topologically associated domains using spectral clustering

Hierarchical Domain Structure Reveals the Divergence of Activity among TADs and Boundaries


Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN

Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy

ARMA Nets: Expanding Receptive Field for Dense Prediction

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures


Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Outer Product-based Neural Collaborative Filtering

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Collaborative Distillation for Top-N Recommendation

Bidirectional Distillation for Top-K Recommender System

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Dual Adversarial Variational Embedding for Robust Recommendation

GAN-based Recommendation with Positive-Unlabeled Sampling

Dual-embedding based Neural Collaborative Filtering for Recommender Systems


Yet Another (natural language) Parser

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

International Conference on Computational Linguistics

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

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

The Hebrew Universal Dependency Treebank: Past Present and Future

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


We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper for details, MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Unsupervised Cross-lingual Representation Learning at Scale

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

Cross-language Information Retrieval


The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

PIQA: Reasoning about Physical Commonsense in Natural Language

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

WIQA: A dataset for "What if..." reasoning over procedural text


Learning to Rank in Generative Retrieval

Multiview Identifiers Enhanced Generative Retrieval

Distillation Enhanced Generative Retrieval


Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.

Syntactic Scaffolds for Semantic Structures

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

A Graph-Based Neural Model for End-to-End Frame Semantic Parsing


Batch Active Learning Using Determinantal Point Processes

Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes

Context Aware Image Annotation in Active Learning

Re-Benchmarking Pool-Based Active Learning for Binary Classification

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning

ALdataset: a benchmark for pool-based active learning

Robust Contrastive Active Learning with Feature-guided Query Strategies


Towards Exploiting Background Knowledge for Building Conversation Systems

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

RefNet: A Reference-aware Network for Background Based Conversation

Conversations with Search Engines: SERP-based Conversational Response Generation


A C++ software tool for generating and analyzing model bulk heterojunction morphologies in a parallel computing environment

Encounter-Limited Charge-Carrier Recombination in Phase-Separated Organic Semiconductor Blends

Charge carrier concentration dependence of encounter-limited bimolecular recombination in phase-separated organic semiconductor blends

Estimating the Magnitude of Exciton Delocalization in Regioregular P3HT

Impact of Tortuosity on Charge-Carrier Transport in Organic Bulk Heterojunction Blends

Ising_OPV v4.0: Experimental Tomography Data Import, Interpretation, and Analysis

Erratum: Efficient Generation of Model Bulk Heterojunction Morphologies for Organic Photovoltaic Device Modeling [Phys. Rev. Applied 2 , 014008 (2014)]


Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Directional Graph Networks

State of the Art and Potentialities of Graph-level Learning


Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

Dynamic Network Embedding Survey

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View


Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Pre-trained models for natural language processing: A survey

Revisiting Pre-Trained Models for Chinese Natural Language Processing

OCNLI: Original Chinese Natural Language Inference

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

Conceptualized Representation Learning for Chinese Biomedical Text Mining

Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

A Chinese Named Entity Recognition Method Based on ERNIE-BiLSTM-CRF for Food Safety Domain


This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

A simple way to make neural networks robust against diverse image corruptions

Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

The Entropy Enigma: Success and Failure of Entropy Minimization


DRIP and SLIP Landslide Detection Package

Automated Satellite-Based Landslide Identification Product for Nepal


Evolutionary Genomics of Structural Variation in Asian Rice (Oryza sativa) Domestication

Zenodo (CERN European Organization for Nuclear Research)

Evolution of genome structure in the Drosophila simulans species complex

Topologically associating domains and their role in the evolution of genome structure and function in Drosophila

A high-continuity genome assembly of Chinese flowering cabbage (Brassica rapa var. parachinensis) provides new insights into Brassica genome structure evolution


Repository associated with Clus-DoC clustering and degree of colocalization analysis

Atypical sideways recognition of CD1a by autoreactive γδ T cell receptors

Binding partners regulate unfolding of myosin VI to activate the molecular motor

A Targeted and Tuneable DNA Damage Tool Using CRISPR/Cas9

Autophagy receptor NDP52 alters DNA conformation to modulate RNA Polymerase II transcription


"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)

A large annotated corpus for learning natural language inference

Understanding Dataset Difficulty with ��-Usable Information

A Theory of Usable Information Under Computational Constraints


Instruments for CNN training, based on Qt, Opencv and tiny-dnn projects

Weakly Supervised Few-Shot Segmentation via Meta-Learning

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

Learning to Segment Medical Images from Few-Shot Sparse Labels

Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation


Easy to use scripts for evaluating word vectors on a variety of tasks.

Vector Embedding of Wikipedia Concepts and Entities

Modelling Lexical Ambiguity with Density Matrices

Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data

Tiny Word Embeddings Using Globally Informed Reconstruction

Multilingual Factor Analysis


UmBERTo: an Italian Language Model trained with Whole Word Masking.

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

What the [MASK]? Making Sense of Language-Specific BERT Models

Italy goes to Stanford: a collection of CoreNLP modules for Italian

Pre-training Polish Transformer-based Language Models at Scale

IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation

CLiC-it - How “BERTology" Changed the State-of-the-Art also for Italian NLP

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

Killing me softly: Creative and cognitive aspects of implicitness in abusive language online

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Mining Tourism Experience on Twitter: A case study


Based on : Yan, Jerabkova and Kroupa (2017, A&A) and Yan, Jerabkova, Kroupa and Vazdekis (2019, A&A): a Python3 module for computing the galaxy-wide initiall stellar mass function by integrating over a whole galaxy, parametrised by star formation rate and metallicity.

Impact of metallicity and star formation rate on the time-dependent, galaxy-wide stellar initial mass function

Gaia DR2 reveals a star formation burst in the disc 2-3 Gyr ago

HAL (Le Centre pour la Communication Scientifique Directe)

The optimally sampled galaxy-wide stellar initial mass function: Observational tests and the publicly available GalIMF code⋆

Evidence for feedback and stellar-dynamically regulated bursty star cluster formation: the case of the Orion Nebula Cluster

Chemical evolution of ultra-faint dwarf galaxies in the self-consistently calculated integrated galactic IMF theory

Chemical evolution of elliptical galaxies with a variable IMF

The most massive stars in very young star clusters with a limited mass: Evidence favours significant self-regulation in the star formation processes

The integrated galaxy-wide stellar initial mass function over the radial acceleration range of early-type galaxies


Example code for the paper "Understanding deep learning requires rethinking generalization"

mixup: Beyond Empirical Risk Minimization

How Does Learning Rate Decay Help Modern Neural Networks?

Measuring Generalization with Optimal Transport

Learning with Retrospection

With False Friends Like These, Who Can Notice Mistakes?

Reducing Flipping Errors in Deep Neural Networks


Dataset accompanying the SPECTER model

SPECTER: Document-level Representation Learning using Citation-informed Transformers

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

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

Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens


SIAN (Structural Identifiability ANalyser) is a software for assessing structural identifiability of ODE models.

SIAN: software for structural identifiability analysis of ODE models

Global Identifiability of Differential Models

Communications on Pure and Applied Mathematics

Web-based Structural Identifiability Analyzer

SIAN: a tool for assessing structural identifiability of parametric ODEs


A large labelled image dataset for benchmarking in federated learning

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Learning Differentially Private Recurrent Language Models

Differentially Private Learning with Adaptive Clipping

FLAIR: Federated Learning Annotated Image Repository

pfl-research: simulation framework for accelerating research in Private
  Federated Learning


Phenotypic microarray assay analysis for 96-well multi-plate spectrophotometers.

Sequencing at sea: Challenges and experiences in Ion Torrent PGM sequencing during the 2013 Southern Line Islands Research Expedition

PMAnalyzer: a new web interface for bacterial growth curve analysis

Elucidating genomic gaps using phenotypic profiles


Datasets of the daily Twitter output of Congress.

Identifying Morality Frames in Political Tweets using Relational Learning

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate

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

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media

Early detection of internet trolls: Introducing an algorithm based on word pairs / single words multiple repetition ratio

Modeling Behavioral Aspects of Social Media Discourse for Moral Classification

Understanding Troll Writing as a Linguistic Phenomenon

Morality and the Glass Ceiling: How Elite Rhetoric Reflects Gendered Strategies and Perspectives

Self Promotion in US Congressional Tweets

"We Demand Justice!": Towards Grounding Political Text in Social Context


UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


Image reconstruction and inference tool for optical interferometry

A triple-star system with a misaligned and warped circumstellar disk shaped by disk tearing

MIRC-X: A Highly Sensitive Six-telescope Interferometric Imager at the CHARA Array

Principles of image reconstruction in optical interferometry: tutorial

Journal of the Optical Society of America. A, Optics, image science, and vision

Long Term Evolution of Surface Features on the Red Supergiant AZ Cyg

GRAVITY chromatic imaging of Eta Car's core

Why chromatic imaging matters

First Images of Cool Starspots on a Star Other than the Sun: Interferometric Imaging of λ Andromedae

The Great Dimming of the Hypergiant Star RW Cephei: CHARA Array Images and Spectral Analysis

Science with MATISSE

The Orbit and Dynamical Mass of Polaris: Observations with the CHARA Array


MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

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

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

Representation Learning for General-sum Low-rank Markov Games

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games


A thermodynamically self-consistent mass-radius-composition calculator

The Pressure and Temperature Limits of Likely Rocky Exoplanets

Journal of Geophysical Research: Planets

On the Probability That a Rocky Planet’s Composition Reflects Its Host Star

The Nominal Ranges of Rocky Planet Masses, Radii, Surface Gravities, and Bulk Densities

MAGRATHEA: an open-source spherical symmetric planet interior structure code

Monthly Notices of the Royal Astronomical Society

Fizzy Super-Earths: Impacts of Magma Composition on the Bulk Density and Structure of Lava Worlds


Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Improving robustness against common corruptions by covariate shift adaptation

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

If your data distribution shifts, use self-learning

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

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

The Entropy Enigma: Success and Failure of Entropy Minimization

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

Learning practically feasible policies for online 3D bin packing


Zero-Resource Speech Discovery, Search, and Evaluation Tools

The Zero Resource Speech Challenge 2015: Proposed Approaches and Results

Workshop on Spoken Language Technologies for Under-resourced Languages

Towards speech-to-text translation without speech recognition

Multilingual and unsupervised subword modeling for zero-resource languages

Multilingual bottleneck features for subword modeling in zero-resource languages

Topic Identification for Speech without ASR

Weakly supervised spoken term discovery using cross-lingual side information

Spoken Term Discovery for Language Documentation using Translations

Empirical Methods in Natural Language Processing

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Unsupervised Term Discovery for Continuous Sign Language


Off-target predictions in CRISPR-Cas9 gene editing using deep learning

Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity

gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement


Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

Graph neural network for traffic forecasting: A survey

RIoTBench: An IoT benchmark for distributed stream processing systems

Concurrency and Computation: Practice and Experience

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

Transportation Research Part C: Emerging Technologies

Benchmarking Distributed Stream Processing Platforms for IoT Applications

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals

The Multivariate Generalised von Mises distribution: Inference and applications

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

The Maximum Trajectory Coverage Query in Spatial Databases

On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks

Pseudo-Pflow: Development of Nationwide Synthetic Open Dataset for People Movement Based on Limited Travel Survey and Open Statistical Data


An implementation of Highway Networks in Caffe

LSTM: A Search Space Odyssey

IEEE transactions on neural networks and learning systems

Training Very Deep Networks

Highway Networks

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network


NEtwork MEssage Syntax analysYS (WOOT 2018) and NEtwork MEssage TYpe identification by aLignment (INFOCOM 2020)

Message Type Identification of Binary Network Protocols using Continuous Segment Similarity

Network Message Field Type Clustering for Reverse Engineering of Unknown Binary Protocols

Refining Network Message Segmentation with Principal Component Analysis


A sample MySQL database with an integrated test suite, used to test your applications and database servers

Snapshot semantics for temporal multiset relations

COMPARISON BETWEEN YII FRAMEWORKS AND LARAVEL IN 3 DIFFERENT VERSION FOR VIEWING LARGE DATA OF SHIPYARD INDUSTRY IN INDONESIA

International Journal of Innovation in Enterprise System

Genetic Algorithm for Relational Database Optimization in Reducing Query Execution Time

Blockchain-Based Access and Timeliness Control for Administrative Punishment Market Supervision

Managing Variability in Relational Databases by VDBMS


DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System

Adding more data does not always help: A study in medical conversation summarization with PEGASUS

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction


Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Credit Assignment Through Broadcasting a Global Error Vector

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients


Get started with CORD-19

CORD-19: The COVID-19 Open Research Dataset

Text mining approaches for dealing with the rapidly expanding literature on COVID-19

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture

Exploring the evolution of research topics during the COVID-19 pandemic


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

SSD: Single Shot MultiBox Detector

YOLOv3: An Incremental Improvement

End-to-End Object Detection with Transformers

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark


Python implementation of the monster group

The maximal subgroups of the Monster

A computer-friendly construction of the monster

A fast implementation of the Monster group


libsais is a library for linear time suffix array, longest common prefix array and burrows wheeler transform construction based on induced sorting algorithm.

On the Optimisation of the GSACA Suffix Array Construction Algorithm

A survey of BWT variants for string collections

Generic Non-recursive Suffix Array Construction

Matching Statistics speed up BWT construction


Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

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

Dynamic and Efficient Inference for Text Generation via BERT Family

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


Deep Learning Face Attributes in the Wild

VGGFace2: A dataset for recognising faces across pose and age

Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition


Deep learning for Metagenome Assembly Error Detection

DeepMAsED: evaluating the quality of metagenomic assemblies

DeepMAsED: Evaluating the quality of metagenomic assemblies

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


DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

The DALI dataset

Zenodo (CERN European Organization for Nuclear Research)


FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Deep Active Learning for Named Entity Recognition


Repository for the explanation method Calibrated Explanations (CE)

Calibrated Explanations: with Uncertainty Information and Counterfactuals

Uncertainty in XAI: Human Perception and Modeling Approaches

Machine Learning and Knowledge Extraction

Calibrated Explanations for Regression


Public repository for SemEval 2023 - Task 10 - Explainable Detection of Online Sexism (EDOS)

SemEval-2023 Task 10: Explainable Detection of Online Sexism

NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset


Set of commonly used functions in photovoltaics


The Social-IQ 2.0 Challenge Release for the Artificial Social Intelligence Workshop at ICCV '23

Learning by Abstraction: The Neural State Machine

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Retrieval-based Video Language Model for Efficient Long Video Question Answering

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning


Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

How To Backdoor Federated Learning

Multi-Task Learning as Multi-Objective Optimization

Blind Backdoors in Deep Learning Models


Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

Deep Residual Learning for Image Recognition

Improved Regularization of Convolutional Neural Networks with Cutout

Deep Networks with Stochastic Depth

Regularization in ResNet with Stochastic Depth


THE POPULATION OF GALAXY-GALAXY STRONG LENSES IN FORTHCOMING OPTICAL IMAGING SURVEYS

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding

Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

Finding strong lenses in CFHTLS using convolutional neural networks

The distance sum rule from strong lensing systems and quasars - test of cosmic curvature and beyond

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques

TEST OF PARAMETRIZED POST-NEWTONIAN GRAVITY WITH GALAXY-SCALE STRONG LENSING SYSTEMS

Testing the cosmic curvature at high redshifts: the combination of LSST strong lensing systems and quasars as new standard candles

Implications from Simulated Strong Gravitational Lensing Systems: Constraining Cosmological Parameters Using Gaussian Processes


Cosmological map inference with deep learning

Deep learning dark matter map reconstructions from DES SV weak lensing data

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

Single frequency CMB B-mode inference with realistic foregrounds from a single training image

Monthly Notices of the Royal Astronomical Society: Letters


Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition

Aligning Language Models with Human Preferences via a Bayesian Approach


Simulation environment for collision avoidance

Socially Aware Motion Planning with Deep Reinforcement Learning

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning


AmpliCI, a model-based algorithm for denoising Illumina amplicon data.

IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences

AmpliCI: a high-resolution model-based approach for denoising Illumina amplicon data

Accurate estimation of molecular counts from amplicon sequence data with unique molecular identifiers


Next-generation scheduling problem solver based on GNNs and Reinforcement Learning

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

A Reinforcement Learning Environment For Job-Shop Scheduling

Learning to Solve Job Shop Scheduling under Uncertainty


EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

SentEval: An Evaluation Toolkit for Universal Sentence Representations

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

Large Language Model Bias Mitigation from the Perspective of Knowledge
  Editing


Gridworld domains in the gym interface

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.

BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs


A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition

Frontiers in bioengineering and biotechnology

An overview of open source Deep Learning-based libraries for Neuroscience


Another Domain Adaptation library, aimed at researchers.

Domain-Adversarial Training of Neural Networks

Wasserstein Distance Guided Representation Learning for Domain Adaptation

ADAPT : Awesome Domain Adaptation Python Toolbox

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python


A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Incorporating Feedback into Tree-based Anomaly Detection

Active Anomaly Detection for time-domain discoveries

Combining Artificial Immune System and Clustering Analysis: A Stock Market Anomaly Detection Model

Journal of Intelligent Learning Systems and Applications

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

Active Anomaly Detection via Ensembles

GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning

GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression.

Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems


This is a project to demonstrate NLP API from LanguageTool for Ukrainian language.

Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

Creating a POS Gold Standard Corpus of Modern Ukrainian

GPT-2 Metadata Pretraining Towards Instruction Finetuning for Ukrainian

Modern Information Technologies in Scientific Research and Educational Activities

Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters

Exploring Word Sense Distribution in Ukrainian with a Semantic Vector Space Model


phenosim - A software to simulate phenotypes for testing in genome-wide association studies

Machine Learning to Advance Human Genome-Wide Association Studies

GWANN: Implementing deep learning in genome wide association studies


Software for detecting regions of BrdU and EdU incorporation in Oxford Nanopore reads.

DNAscent v2: detecting replication forks in nanopore sequencing data with deep learning

A genome-wide map of DNA replication at single-molecule resolution in the malaria parasite Plasmodium falciparum

Replication origin mapping in the malaria parasite Plasmodium falciparum


piXedfit is a Python package designed for analyzing spatially resolved SEDs of galaxies

Introducing piXedfit: A Spectral Energy Distribution Fitting Code Designed for Resolved Sources

The Astrophysical Journal Supplement Series

Dissecting Nearby Galaxies with piXedfit. I. Spatially Resolved Properties of Stars, Dust, and Gas as Revealed by Panchromatic SED Fitting

Spatially Resolved Stellar Populations of 0.3 < z < 6.0 Galaxies in WHL 0137–08 and MACS 0647+70 Clusters as Revealed by JWST: How Do Galaxies Grow and Quench over Cosmic Time?

A Multiwavelength view of IC 860: What Is in Action inside Quenching Galaxies

Extremely Low Molecular Gas Content in the Vicinity of a Red Nugget Galaxy at z = 1.91


Genome-wide scan for balancing selection using beta statistic

BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data

Inferring Balancing Selection From Genome-Scale Data

Balancing selection on genomic deletion polymorphisms in humans

Accounting for diverse evolutionary forces reveals the mosaic nature of selection on genomic regions associated with human preterm birth

Genetic diversity in the IZUMO1-JUNO protein-receptor pair involved in human reproduction


A repository with several curated datasets of counter-narratives to fight online hate speech.

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech

Meeting of the Association for Computational Linguistics

Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering

A Multi-Aspect Framework for Counter Narrative Evaluation using Large Language Models


The Impact of DNA Polymerase and Number of Rounds of Amplification in PCR on 16S rRNA Gene Sequence Data

Endosymbiont interference and microbial diversity of the Pacific coast tick, Dermacentor occidentalis, in San Diego County, California

The Water Microbiome Through a Pilot Scale Advanced Treatment Facility for Direct Potable Reuse

The prevalence and transcriptional activity of the mucosal microbiota of ulcerative colitis patients

Longitudinal genomic surveillance of carriage and transmission of Clostridioides difficile in an intensive care unit

Gut Microbiota Predict Enterococcus Expansion but Not Vancomycin-Resistant Enterococcus Acquisition

Influence of Colostrum and Vitamins A, D3, and E on Early Intestinal Colonization of Neonatal Holstein Calves Infected with Mycobacterium avium subsp. paratuberculosis

Galacto-oligosaccharides fed during gestation increase Rotavirus A specific antibodies in sow colostrum, modulate the microbiome, and reduce infectivity in neonatal piglets in a commercial farm setting

Shifts in the swine nasal microbiota following Bordetella bronchiseptica challenge in a longitudinal study

Assessing the validity of fecal sampling for characterizing variation in threespine stickleback’s gut microbiota


The University of New Hampshire Water Balance Model

Distinguishing Direct Human‐Driven Effects on the Global Terrestrial Water Cycle

WBM: A scalable gridded global hydrologic model with water tracking functionality

Delineation of endorheic drainage basins in the MERIT-Plus dataset for 5 and 15 minute upscaled river networks


Explainable AI in Julia.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Important Features Through Propagating Activation Differences

Learning how to explain neural networks: PatternNet and PatternAttribution


A multi-resolution seismic attenuation tomography code - currently in its 3.0 release

3-D attenuation image of fluid storage and tectonic interactions across the Pollino fault network

Scattering Attenuation Images of the Control of Thrusts and Fluid Overpressure on the 2016–2017 Central Italy Seismic Sequence


Create and processing emissions for numeric air quality models

Emissions Database for Global Atmospheric Research


caliver: CALIbration and VERification of gridded fire danger models

ERA5-based global meteorological wildfire danger maps

A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices

Using machine learning to predict fire‐ignition occurrences from lightning forecasts

Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs


Code and scripts for NAACL 2022 industry track paper "Fast and Light-weight Answer Text Retrieval in Dialogue Systems". Built on top of ColBERT (https://github.com/stanford-futuredata/ColBERT).

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Relevance-guided Supervision for OpenQA with ColBERT

Fast and Light-Weight Answer Text Retrieval in Dialogue Systems


A toolkit for automated local phylogenomic analyses, or ALPHA

RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

A Draft Sequence of the Neandertal Genome

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

Testing for Ancient Admixture between Closely Related Populations

Evaluating the Use of ABBA–BABA Statistics to Locate Introgressed Loci

The Probability of a Gene Tree Topology within a Phylogenetic Network with Applications to Hybridization Detection

DGEN: A Test Statistic for Detection of General Introgression Scenarios

ALPHA: a toolkit for Automated Local PHylogenomic Analyses


Voice Conversion With Just Nearest Neighbors

Salt: Distinguishable Speaker Anonymization Through Latent Space Transformation

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion


A Vietnamese natural language processing toolkit (NAACL 2018)

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit

North American Chapter of the Association for Computational Linguistics

Emotion Recognition for Vietnamese Social Media Text

Sentence Extraction-Based Machine Reading Comprehension for Vietnamese

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

Revisiting Back-Translation for Low-Resource Machine Translation Between Chinese and Vietnamese

Predicting Job Titles from Job Descriptions with Multi-label Text Classification

National Foundation for Science and Technology Development Conference on Information and Computer Science

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese

Unsupervised Sentence Simplification via Dependency Parsing

Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation

A HYBRID MODEL USING THE PRETRAINED BERT AND DEEP NEURAL NETWORKS WITH RICH FEATURE FOR EXTRACTIVE TEXT SUMMARIZATION

Journal of Computer Science and Cybernetics


This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

From Denoising to Compressed Sensing

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

Compressed Sensing with Deep Image Prior and Learned Regularization

Unsupervised Learning with Stein's Unbiased Risk Estimator

Fully Learnable Model for Task-Driven Image Compressed Sensing


Behavior Trees Library for ROS (Robot Operating System). In C++ and python

Behavior Trees in Robotics and AI: An Introduction

A Survey of Behavior Trees in Robotics and AI

Behavior Trees and State Machines in Robotics Applications

Behavior Trees as a Representation for Medical Procedures

Replication package for article: Behavior Trees in Action: A Study of Robotics Applications

Hidden Markov Models derived from Behavior Trees


Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

RWKV: Reinventing RNNs for the Transformer Era

Retentive Network: A Successor to Transformer for Large Language Models

Linear Transformers Are Secretly Fast Weight Programmers

Gated Linear Attention Transformers with Hardware-Efficient Training

xLSTM: Extended Long Short-Term Memory

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context
  Language Modeling

HGRN2: Gated Linear RNNs with State Expansion

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Gated Slot Attention for Efficient Linear-Time Sequence Modeling


Training neural networks in TensorFlow 2.0 with 5x less memory

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

Survey on Large Scale Neural Network Training

Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction


A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification

Pushing the Limits of Self-Supervised Speaker Verification using Regularized Distillation Framework

3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement

3D-Speaker-Toolkit: An Open Source Toolkit for Multi-modal Speaker
  Verification and Diarization

ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency

Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation

Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision

FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level
  Generative Speech Applications


A repository of data on coronavirus cases and deaths in the U.S.

Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic

Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic

Forecasting: theory and practice

Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty

COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology

Collectivism predicts mask use during COVID-19

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

Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events

Poverty and Covid-19: Rates of Incidence and Deaths in the United States During the First 10 Weeks of the Pandemic

Population density and basic reproductive number of COVID-19 across United States counties

medRxiv : the preprint server for health sciences

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks


rdefra: Interact with the UK AIR Pollution Database from DEFRA


Python package for handling and analyzing PSRFITS files

A Second Chromatic Timing Event of Interstellar Origin toward PSR J1713+0747

THE NANOGRAV NINE-YEAR DATA SET: NOISE BUDGET FOR PULSAR ARRIVAL TIMES ON INTRADAY TIMESCALES

Upgraded antennas for pulsar observations in the Argentine Institute of Radio astronomy

VLA Observations of Single Pulses from the Galactic Center Magnetar

PSR J0437-4715: The Argentine Institute of Radioastronomy 2019–2020 Observational Campaign

A Study in Frequency-dependent Effects on Precision Pulsar Timing Parameters with the Pulsar Signal Simulator

Analysis of Multi-hour Continuous Observations of Seven Millisecond Pulsars

A broad survey of spectro-temporal properties from FRB 20121102A

Evaluating Low-frequency Pulsar Observations to Monitor Dispersion with the Giant Metrewave Radio Telescope


Multivariate imputation and matrix completion algorithms implemented in Python

BRITS: Bidirectional Recurrent Imputation for Time Series

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Handling Missing Data with Graph Representation Learning

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Machine learning based imputation techniques for estimating phylogenetic trees from incomplete distance matrices

Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models.

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data

Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders

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


A Haskell library for Approximating Exact Real Numbers (AERN) based on interval computation. (aern2 is a rewrite of aern.)

Parametrised second-order complexity theory with applications to the study of interval computation

Semantics, Specification Logic, and Hoare Logic of Exact Real Computation

Foundation of Computer (Algebra) ANALYSIS Systems: Semantics, Logic, Programming, Verification

Auto-active Verification of Floating-point Programs via Nonlinear Real Provers


SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.

Secure Quantized Training for Deep Learning

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation


SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Online Forecasting and Anomaly Detection Based on the ARIMA Model

Outlier Detection using AI: A Survey

Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data

Unsupervised Offline Changepoint Detection Ensembles

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain


Methods for detecting doublets in single-cell sequencing data

Doublet identification in single-cell sequencing data using scDblFinder

Single-cell RNA sequencing reveals the sustained immune cell dysfunction in the pathogenesis of sepsis secondary to bacterial pneumonia

Maturation signatures of conventional dendritic cell subtypes in COVID-19 suggest direct viral sensing.

NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model

Reconstructing physical cell interaction networks from single-cell data using Neighbor-seq

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

Single-cell sequencing reveals the cell map and transcriptional network of sporadic vestibular schwannoma

PfAP2-MRP DNA-binding protein is a master regulator of parasite pathogenesis during malaria parasite blood stages

bioRxiv : the preprint server for biology

Isolation of human cutaneous immune cells for single-cell RNA sequencing


A model to predict Total ELectricity Loads (TELL)


HAETAE: Shorter Lattice-Based Fiat-Shamir Signatures

IACR Transactions on Cryptographic Hardware and Embedded Systems

Revisiting Keccak and Dilithium Implementations on ARMv7-M

Aggregable Confidential Transactions for Efficient Quantum-Safe Cryptocurrencies

From MLWE to RLWE: A Differential Fault Attack on Randomized & Deterministic Dilithium

High-Throughput GPU Implementation of Dilithium Post-Quantum Digital Signature

An End-to-End Analysis of EMFI on Bit-sliced Post-Quantum Implementations


Epistemic Neural Networks

The Neural Testbed: Evaluating Joint Predictions

Approximate Thompson Sampling via Epistemic Neural Networks

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping

Fine-Tuning Language Models via Epistemic Neural Networks

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

Evaluating High-Order Predictive Distributions in Deep Learning

Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization


EPOS - Economic Planning and Optimized Selections

Decentralized Edge-to-Cloud Load Balancing: Service Placement for the Internet of Things

Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties

Socio-technical smart grid optimization via decentralized charge control of electric vehicles

Appliance-Level Flexible Scheduling for Socio-Technical Smart Grid Optimization

A self-integration testbed for decentralized socio-technical systems

Holarchic structures for decentralized deep learning: a performance analysis

Coordination of drones at scale: Decentralized energy-aware swarm intelligence for spatio-temporal sensing

Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence

3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing

Discrete-choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities


The DayTrader 7 benchmark sample, which is a Java EE 7 application built around the paradigm of an online stock trading system. #JavaEE7

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

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

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

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

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

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

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

Lessons learned from hyper-parameter tuning for microservice candidate identification

An expert system for redesigning software for cloud applications


A toolkit for single-cell immune profiling

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome

Unravelling the role of immune cells and FN1 in the recurrence and therapeutic process of skull base chordoma

T Cell Clonal Analysis Using Single-cell RNA Sequencing and Reference Maps

Long-term effects of Omicron BA.2 breakthrough infection on immunity-metabolism balance: a 6-month prospective study


Research release basecalling models and configurations

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Distinguishing between recruitment and spread of silent chromatin structures in Saccharomyces cerevisiae

DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data

Comprehensive Analysis of DNA 5-Methylcytosine and N6-Adenine Methylation by Nanopore Sequencing in Hepatocellular Carcinoma

Frontiers in cell and developmental biology

Extreme genome scrambling in marine planktonic Oikopleura dioica cryptic species

DNA Methylation Patterns Differ between Free-Living Rhizobium leguminosarum RCAM1026 and Bacteroids Formed in Symbiosis with Pea (Pisum sativum L.)

Multidrug-Resistant Shigella sonnei Bacteremia among Persons Experiencing Homelessness, Vancouver, British Columbia, Canada.


Source code of the catalogue browser java application.

Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2017 data collection)

EFSA journal. European Food Safety Authority

Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2018 data collection)

Evaluation of Dietary Intake and Anthropometric Status in 1–9-Year-Old Children Living in Serbia: National Food Consumption Survey according to the EU Menu Methodology


Estimated marginal means

AKR-001, an Fc-FGF21 Analog, Showed Sustained Pharmacodynamic Effects on Insulin Sensitivity and Lipid Metabolism in Type 2 Diabetes Patients

Anterior and Posterior Left Inferior Frontal Gyrus Contribute to the Implementation of Grammatical Determiners During Language Production

Changes in Faecal Microbiota Profiles Associated With Performance and Birthweight of Piglets

Inbreeding shapes the evolution of marine invertebrates

Evolution; international journal of organic evolution

Schoolchildren discover hotspots of floating plastic litter in rivers using a large-scale collaborative approach

Size-Dependent Sensitivity of Aquatic Insects to Metals

Xylem Phenology and Growth Response of European Beech, Silver Fir and Scots Pine along an Elevational Gradient during the Extreme Drought Year 2018

Fitness costs of individual and combined pyrethroid resistance mechanisms, kdr and CYP-mediated detoxification, in Aedes aegypti

Determination of the Effect of Co-cultivation on the Production and Root Exudation of Flavonoids in Four Legume Species Using LC–MS/MS Analysis

Journal of agricultural and food chemistry

Root Microbiome Modulates Plant Growth Promotion Induced by Low Doses of Glyphosate


A compression benchmark suite

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Foresight: Analysis That Matters for Data Reduction

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling


Your Unified Reader

The Fast Radio Burst FRB 20201124A in a star forming region: constraints to the progenitor and multiwavelength counterparts

The first seven months of the 2020 X-ray outburst of the magnetar SGR J1935+2154

Monthly Notices of the Royal Astronomical Society

The northern cross fast radio burst project – II. Monitoring of repeating FRB 20180916B, 20181030A, 20200120E, and 20201124A

Monthly notices of the Royal Astronomical Society

A broad survey of spectro-temporal properties from FRB 20121102A

An unidentified Fermi source emitting radio bursts in the Galactic bulge


Cell-Based Adaptive Mesh Refinement

MANA for MPI: MPI-Agnostic Network-Agnostic Transparent Checkpointing


Simulating Many Accelerated Strongly-interacting Hadrons

Multisystem Bayesian constraints on the transport coefficients of QCD matter

Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging

Phase transitions and critical behavior in hadronic transport with a relativistic density functional equation of state

Efficient emulation of relativistic heavy ion collisions with transfer learning

Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions

Role of bulk viscosity in deuteron production in ultrarelativistic nuclear collisions

Assessing the ultracentral flow puzzle in hydrodynamic modeling of heavy-ion collisions

Quantifying the Quark Gluon Plasma


An OpenCL-based photon-tracking simulation using a (source-based) ray tracing algorithm modeling scattering and absorption of light in the deep glacial ice at the South Pole or Mediterranean sea water.

OBSERVATION AND CHARACTERIZATION OF A COSMIC MUON NEUTRINO FLUX FROM THE NORTHERN HEMISPHERE USING SIX YEARS OF ICECUBE DATA

Measurement of Atmospheric Neutrino Oscillations at 6-56 GeV with IceCube DeepCore

Search for sterile neutrino mixing using three years of IceCube DeepCore data

Improved Characterization of the Astrophysical Muon–neutrino Flux with 9.5 Years of IceCube Data

Measurement of Atmospheric tau Neutrino Appearance With Icecube/deepcore

XXVIII International Conference on Neutrino Physics and Astrophysics

Development of an analysis to probe the neutrino mass ordering with atmospheric neutrinos using three years of IceCube DeepCore data

High-energy neutrino transients and the future of multi-messenger astronomy

LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

IceCube-Gen2 - The Next Generation Neutrino Observatory at the South Pole: Contributions to ICRC 2015

Low energy event reconstruction in IceCube DeepCore


Pre facet calibration pipeline

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

The LOFAR Two-metre Sky Survey

The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1

Systematic effects in LOFAR data: A unified calibration strategy

A radio ridge connecting two galaxy clusters in a filament of the cosmic web

LOFAR Discovery of a 23.5 s Radio Pulsar

Gentle reenergization of electrons in merging galaxy clusters

LOFAR discovery of an ultra-steep radio halo and giant head–tail radio galaxy in Abell 1132

A LOFAR study of non-merging massive galaxy clusters

Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline


Common repository for example datasets used by Vega-related projects

LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Agnostic Visual Recommendation Systems: Open Challenges and Future Directions

Metrics-Based Evaluation and Comparison of Visualization Notations


Power Tools for AI Engineers With Deadlines


dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

A 204-subject multimodal neuroimaging dataset to study language processing

An Open MRI Dataset For Multiscale Neuroscience

Classification of parotid gland tumors by using multimodal MRI and deep learning

Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Extra-Virgin Olive Oil Enhances the Blood–Brain Barrier Function in Mild Cognitive Impairment: A Randomized Controlled Trial

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

ASL-BIDS, the brain imaging data structure extension for arterial spin labeling


cve-search - a tool to perform local searches for known vulnerabilities

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Just-in-time software vulnerability detection: Are we there yet?

Adaptive MTD Security using Markov Game Modeling

Improving ICS Cyber Resilience through Optimal Diversification of Network Resources

Discovering Command and Control Channels Using Reinforcement Learning

One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware

CyMed: A Framework for Testing Cybersecurity of Connected Medical Devices

Towards Measuring Vulnerabilities and Exposures in Open-Source Packages


Actualmed COVID-19 Chest X-ray Dataset Initiative

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR

FLOP: Federated Learning on Medical Datasets using Partial Networks

Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection

IEEE access : practical innovations, open solutions

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images

Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic

Visual computing for industry, biomedicine, and art

Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography


Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

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

Graph Self-supervised Learning with Accurate Discrepancy Learning

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

Substructure-Atom Cross Attention for Molecular Representation Learning

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


Pytorch Implementation for Graph Convolutional Neural Networks

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Revisiting Semi-Supervised Learning with Graph Embeddings

Why Random Pruning Is All We Need to Start Sparse


AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses

Learnable filter-banks for CNN-based audio applications

Proceedings of the Northern Lights Deep Learning Workshop

SymJAX: symbolic CPU/GPU/TPU programming

Improving Compositionality of Neural Networks by Decoding Representations to Inputs

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures


Machine learning in solar physics

Learning to do multiframe wavefront sensing unsupervised: Applications to blind deconvolution

Learning to do multiframe blind deconvolution unsupervisedly.


Constraint-Based Question Answering with Knowledge Graph

International Conference on Computational Linguistics

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base

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


Anomaly detection on X-Ray MURA dataset using GAN.

Adversarial Feature Learning

Adversarially Learned Inference

Variational Approaches for Auto-Encoding Generative Adversarial Networks


The source code of HeCo

Graph Self-Supervised Learning: A Survey

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

A Comprehensive Survey on Community Detection With Deep Learning

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

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


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


Malware Detection by Eating a Whole EXE

Non-Negative Networks Against Adversarial Attacks

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

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


[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

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

VMAF And Variants: Towards A Unified VQA

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

Video Quality Analysis: Steps towards Unifying Full and No Reference Cases


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

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

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection

Explainable Enterprise Credit Rating via Deep Feature Crossing Network


Methods of training NLP models to ignored biased strategies

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

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

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

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Issues with Entailment-based Zero-shot Text Classification

Meeting of the Association for Computational Linguistics

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA


Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)

Self-supervised learning of a facial attribute embedding from video

Unsupervised Learning of Face Representations


All NLP experiments described in ArXiv paper 1904.02682

Advancing NLP with Cognitive Language Processing Signals

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals

Relation Classification with Cognitive Attention Supervision

Workshop on Cognitive Modeling and Computational Linguistics


Algorithms for Privacy-Preserving Machine Learning in JAX

Unlocking High-Accuracy Differentially Private Image Classification through Scale

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Unlocking Accuracy and Fairness in Differentially Private Image Classification

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models

Nearly Tight Black-Box Auditing of Differentially Private Machine Learning


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!


:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

A multi-task deep learning model for the classification of Age-related Macular Degeneration


TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis

Learning Transferable Time Series Classifier with Cross-Domain
  Pre-training from Language Model

Advancing Time Series Classification with Multimodal Language Modeling


INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

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

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy


Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network

Deep Learning in Single-Cell Analysis

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning


Catchment Attributes and Meteorology for Large-sample Studies

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

LamaH | Large-Sample Data for Hydrology and Environmental Sciences for Central Europe


Video Feature Extraction Code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

Learning Transferable Visual Models From Natural Language Supervision

End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Learning a Grammar Inducer from Massive Uncurated Instructional Videos


This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

IEEE transactions on neural networks and learning systems

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis

Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance


AAMO: Another Android Malware Obfuscator

Black box analysis of android malware detectors

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Formats Roary output for viewing in FriPan

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

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


a samplers scheduler for stable diffusion webui

Elucidating the Design Space of Diffusion-Based Generative Models

Restart Sampling for Improving Generative Processes

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling

Sampler Scheduler for Diffusion Models


Starter kit for the black box optimization challenge at Neurips 2020

A Tutorial on Bayesian Optimization

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis