Code for reproducing "AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks" (NeurIPS 2021)

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures

PDP: Parameter-free Differentiable Pruning is All You Need


A selection of state-of-the-art research materials on trajectory prediction

A survey on motion prediction and risk assessment for intelligent vehicles

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

Context-Based Pedestrian Path Prediction

Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment

Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

Walking Ahead: The Headed Social Force Model

Context-Based Path Prediction for Targets with Switching Dynamics

International journal of computer vision

BRVO: Predicting pedestrian trajectories using velocity-space reasoning

The international journal of robotics research

Group LSTM: Group Trajectory Prediction in Crowded Scenarios

Survey on Vision-Based Path Prediction


A short library for calculating the state transitions Perturbational Complexity Index (PCIst)

Local sleep-like cortical reactivity in the awake brain after focal injury

Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice

Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats

Assessing awareness in severe Alzheimer’s disease


A box of genomics tools

De-novo assembly of zucchini genome reveals a whole genome duplication associated with the origin of the Cucurbita genus

Early and delayed long-term transcriptional changes and short-term transient responses during cold acclimation in olive leaves

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

Transposon activation is a major driver in the genome evolution of cultivated olive trees (Olea europaea L.)

De Novo Genome Sequence Assembly of Dwarf Coconut (Cocos nucifera L. ‘Catigan Green Dwarf’) Provides Insights into Genomic Variation Between Coconut Types and Related Palm Species

Mining transcriptomic data to study the origins and evolution of a plant allopolyploid complex

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Morphoagronomic characterization and whole-genome resequencing of eight highly diverse wild and weedy S. pimpinellifolium and S. lycopersicum var. cerasiforme accessions used for the first interspecific tomato MAGIC population

Polyploid Nicotiana section Suaveolentes originated by hybridization of two ancestral Nicotiana clades


Transformer-based model for learning authorship representations.

Few-Shot Detection of Machine-Generated Text using Style Representations

Can Authorship Representation Learning Capture Stylistic Features?

Learning to Generate Text in Arbitrary Writing Styles


Creative Commons Attribution Share Alike 4.0 International

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Findings of the WMT 2020 Shared Task on Chat Translation

Empirical Methods in Natural Language Processing

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task

Modeling Bilingual Conversational Characteristics for Neural Chat Translation

Towards Making the Most of Dialogue Characteristics for Neural Chat Translation

The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task

HAL (Le Centre pour la Communication Scientifique Directe)

Recent Advances in Dialogue Machine Translation

Scheduled Multi-task Learning for Neural Chat Translation

A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation

IEEE transactions on pattern analysis and machine intelligence


Py-Alpha-AMD Registration Framework - Robust Image Registration - Public Release

CoMIR: Contrastive Multimodal Image Representation for Registration

Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

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

Is image-to-image translation the panacea for multimodal image registration? A comparative study


VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Proceedings 2018 Network and Distributed System Security Symposium

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing

Deep Learning based Vulnerability Detection: Are We There Yet?

Transformer-Based Language Models for Software Vulnerability Detection

Efficient Feature Selection for Static Analysis Vulnerability Prediction

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection

Pacific-Asia Conference on Knowledge Discovery and Data Mining


Self-supervised vision transformers for joint SAR-optical representation learning

Self-supervised Learning in Remote Sensing: A Review

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation

Self-supervised Vision Transformers for Joint SAR-optical Representation
  Learning

DeCUR: decoupling common & unique representations for multimodal
  self-supervision


MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.

Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions

ToyADMOS2 dataset: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions


Overlap assembler of paired-end DNA sequences generated by Illumina

Comparison of Sequencing Utility Programs

SNP-markers in Allium species to facilitate introgression breeding in onion

Is the whole greater than the sum of its parts? De novo assembly strategies for bacterial genomes based on paired-end sequencing


RiboDiff: Tool to detect changes in translational efficiency based on ribosome footprinting data

RiboDiff: detecting changes of mRNA translation efficiency from ribosome footprints

LncRNA-Encoded Peptide: Functions and Predicting Methods

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


Meta-Learning with Differentiable Convex Optimization

Meta-Learning with Latent Embedding Optimization

Few-Shot Learning by Integrating Spatial and Frequency Representation


Template Filling with Generative Transformers

North American Chapter of the Association for Computational Linguistics

On Event Individuation for Document-Level Information Extraction

MultiMUC: Multilingual Template Filling on MUC-4


Simulator and datasets to research on carbon-aware temporal workload shifting.

Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud


SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

PreNNsem: A Heterogeneous Ensemble Learning Framework for Vulnerability Detection in Software


Differentiable architecture search for convolutional and recurrent networks

DARTS: Differentiable Architecture Search

Random Search and Reproducibility for Neural Architecture Search

BRP-NAS: Prediction-based NAS using GCNs

NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

ASAP: Architecture Search, Anneal and Prune

Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Search to aggregate neighborhood for graph neural network

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning


multi-channel target speech extraction with channel decorrelation and target speaker adaptation

Improving speaker discrimination of target speech extraction with
  time-domain SpeakerBeam

Multi-channel target speech extraction with channel decorrelation and
  target speaker adaptation

Improving Channel Decorrelation for Multi-Channel Target Speech Extraction


Miscellaneous scripts

Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals

An RxLR Effector from Phytophthora infestans Prevents Re-localisation of Two Plant NAC Transcription Factors from the Endoplasmic Reticulum to the Nucleus

A Year of Infection in the Intensive Care Unit: Prospective Whole Genome Sequencing of Bacterial Clinical Isolates Reveals Cryptic Transmissions and Novel Microbiota

Bacillus wiedmannii sp. nov., a psychrotolerant and cytotoxic Bacillus cereus group species isolated from dairy foods and dairy environments.

International journal of systematic and evolutionary microbiology

Genomic and proteomic evidences unravel the UV-resistome of the poly-extremophile Acinetobacter sp. Ver3

Lactococcus petauri sp. nov., isolated from an abscess of a sugar glider

Functional Genomics Insights Into the Pathogenicity, Habitat Fitness, and Mechanisms Modifying Plant Development of Rhodococcus sp. PBTS1 and PBTS2

A molecular phylogenetic framework for Bacillus subtilis using genome sequences and its application to Bacillus subtilis subspecies stecoris strain D7XPN1, an isolate from a commercial food-waste degrading bioreactor

Phylogenomic Analyses of Bradyrhizobium Reveal Uneven Distribution of the Lateral and Subpolar Flagellar Systems, Which Extends to Rhizobiales

Integrative and Conjugative Elements of Helicobacter pylori Are Hypothetical Virulence Factors Associated With Gastric Cancer

Frontiers in cellular and infection microbiology


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

Hydrogen Epoch of Reionization Array (HERA)

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

Monthly Notices of the Royal Astronomical Society

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

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

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

THE MURCHISON WIDEFIELD ARRAY 21 cm POWER SPECTRUM ANALYSIS METHODOLOGY

REDUNDANT ARRAY CONFIGURATIONS FOR 21 cm COSMOLOGY

Constraining the primordial black hole abundance with 21-cm cosmology

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

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

Proceedings of the International Astronomical Union


Development version of mtobjects, a tool for finding objects in astronomical images.

Optimising and comparing source-extraction tools using objective segmentation quality criteria

Quantified diffuse light in compact groups of galaxies

Tilted outer and inner structures in edge-on galaxies?

Unveiling the Nature of Polar-ring Galaxies from Deep Imaging


So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Multilevel Feature Fusion-Based CNN for Local Climate Zone Classification From Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?


Epigenomic landscape of human colorectal cancer unveils an aberrant core of pan-cancer enhancers orchestrated by YAP/TAZ

Differential CMS-Related Expression of Cell Surface Carbonic Anhydrases IX and XII in Colorectal Cancer Models—Implications for Therapy

International journal of molecular sciences


Hume AI ML Competitions

The ICML 2022 Expressive Vocalizations Workshop and Competition:
  Recognizing, Generating, and Personalizing Vocal Bursts

The ACII 2022 Affective Vocal Bursts Workshop & Competition


R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)

Approximate Bayesian computation with the Wasserstein distance

Journal of the Royal Statistical Society. Series B, Statistical methodology

On parameter estimation with the Wasserstein distance

The Fixed Landscape Inference MethOd (flimo): a versatile alternative to
  Approximate Bayesian Computation, faster by several orders of magnitude


Automated deep-learning based brain tumor segmentation on MRI

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks

Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors

Microvasculature Features Derived from Hybrid EPI MRI in Non-Enhancing Adult-Type Diffuse Glioma Subtypes

Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma


DeltaGrad: Rapid retraining of machine learning models

A Survey of Machine Unlearning

Certifiable Machine Unlearning for Linear Models

Learn to Unlearn: A Survey on Machine Unlearning


Principal Neighbourhood Aggregation for Graph Nets

Building powerful and equivariant graph neural networks with structural message-passing

Asynchronous Neural Networks for Learning in Graphs


Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL

Split Q Learning: Reinforcement Learning with Two-Stream Rewards

Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook


Pytorch implementation of neural processes and variants

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via
  Sequence Modeling

Bootstrapping Neural Processes

Neural Processes with Stochastic Attention: Paying more attention to the
  context dataset

Exploiting Inferential Structure in Neural Processes


(Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings


A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning

Momentum-Based Variance Reduction in Non-Convex SGD

A Modern Introduction to Online Learning

Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization


Backdoor Defense via Decoupling the Training Process

Backdoor Defense via Deconfounded Representation Learning

Beating Backdoor Attack at Its Own Game


This repo is the official implementation of "Mask-based Latent Reconstruction for Reinforcement Learning" (NeurIPS 2022).

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning


maven plugin to convert java bean classes to c#

Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks

SAR: Learning Cross-Language API Mappings with Little Knowledge

Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code

International Conference on Software Engineering


Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.

Network Geometry Inference using Common Neighbors

Physical review. E, Statistical, nonlinear, and soft matter physics

Manifold learning and maximum likelihood estimation for hyperbolic network embedding

The latent geometry of the human protein interaction network

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

Geometric characterisation of disease modules


A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

Inference Compilation and Universal Probabilistic Programming

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Probabilistic Surrogate Networks for Simulators with Unbounded
  Randomness

Uncertain Evidence in Probabilistic Models and Stochastic Simulators


ODAM: Object Detection, Association, and Mapping using Posed RGB Video

Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos

RayTran: 3D pose estimation and shape reconstruction of multiple objects
  from videos with ray-traced transformers


This repository is made for the paper: Self-supervised vision-language pretraining for Medical visual question answering

Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering

PathVQA: 30000+ Questions for Medical Visual Question Answering

Self-Supervised Vision-Language Pretraining for Medial Visual Question Answering


Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery

MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery

CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations


ExaRanker: Synthetic Explanations Improve Neural Rankers

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

ExaRanker: Explanation-Augmented Neural Ranker


FAPE (Flexible Acting and Planning Environment) is a constraint-based planner for the ANML language.

A Constraint-based Encoding for Domain-Independent Temporal Planning

Principles and Practice of Constraint Programming

FAPE: a Constraint-based Planner for Generative and Hierarchical Temporal Planning

HDDL 2.1: Towards Defining an HTN Formalism with Time


Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

FINE Samples for Learning with Noisy Labels

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


Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction

Deep Learning for Vision-based Prediction: A Survey

Social Interpretable Tree for Pedestrian Trajectory Prediction

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization


W2VV++: A fully deep learning solution for ad-hoc video search

W2VV++: Fully Deep Learning for Ad-hoc Video Search

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

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia


Understanding and Improving Early Stopping for Learning with Noisy Labels

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


Code for Handling Divergent Reference Texts when Evaluating Table-to-Text Generation (Dhingra et al. 2019)

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Stage-wise Fine-tuning for Graph-to-Text Generation


Implementation of "Audio Retrieval with Natural Language Queries", INTERSPEECH 2021, PyTorch

Dense-Captioning Events in Videos

Clotho: An Audio Captioning Dataset

QuerYD: A video dataset with high-quality text and audio narrations


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

Deep Anomaly Detection with Outlier Exposure

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

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


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

A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet

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

Training for Speech Recognition on Coprocessors

Lexicon and Attention based Handwritten Text Recognition System


An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language
  Models

What Matters in Training a GPT4-Style Language Model with Multimodal
  Inputs?

ReForm-Eval: Evaluating Large Vision Language Models via Unified
  Re-Formulation of Task-Oriented Benchmarks


ROS-Industrial KUKA support (http://wiki.ros.org/kuka)

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

High Precision Real Time Collision Detection

DiAReL: Reinforcement Learning with Disturbance Awareness for Robust
  Sim2Real Policy Transfer in Robot Control


Simulation tools for plasma chemistry

On the quasi-stationary approach to solve the electron Boltzmann equation in pulsed plasmas

The 2021 release of the Quantemol database (QDB) of plasma chemistries and reactions

Charged-particle transport models for global models

Comparison between 1D radial and 0D global models for low-pressure oxygen DC glow discharges


Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation

Malware Detection by Eating a Whole EXE

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection

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


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

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

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Adversarial Learning for Semi-Supervised Semantic Segmentation

Semi-supervised semantic segmentation needs strong, varied perturbations

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

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

DMT: Dynamic mutual training for semi-supervised learning

Learning to Annotate Part Segmentation with Gradient Matching


Tail-GNN: Tail-Node Graph Neural Networks

Tackling Long-tailed Distribution Issue in Graph Neural Networks via Normalization

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation


node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling


Report reverse and ambiguous strand SNPs in GWAS data

A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus

Single Cell Transcriptome and Surface Epitope Analysis of Ankylosing Spondylitis Facilitates Disease Classification by Machine Learning

Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions

Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene–environment correlation

Journal of child psychology and psychiatry, and allied disciplines

Genome-Wide Gene-Set Analysis Identifies Molecular Mechanisms Associated with ALS


A data set regarding news veracity on social media. Published at ICWSM-18.

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

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

News recommender system: a review of recent progress, challenges, and opportunities

Sentiment Analysis for Fake News Detection


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

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

International journal of environmental research and public health

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

The observational clinical registry (cohort design) of the European Reference Network on Rare Adult Solid Cancers: The protocol for the rare head and neck cancers

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

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

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

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

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


A Fisher information matrix python package for GW detector networks.

Forecasting the Detection Capabilities of Third-generation Gravitational-wave Detectors Using GWFAST

GWFAST: A Fisher Information Matrix Python Code for Third-generation Gravitational-wave Detectors

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

Gravitational-wave cosmology with dark sirens: state of the art and perspectives for 3G detectors

Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022)

Inferring, not just detecting: Metrics for high-redshift sources observed with third-generation gravitational-wave detectors

Measuring Mass and Radius of the Maximum-mass Nonrotating Neutron Star

Multi-messenger prospects for black hole - neutron star mergers in the
  O4 and O5 runs


Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting

Risk-Averse Offline Reinforcement Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based
  Offline Reinforcement Learning


Python Advanced Differential Evolution

The importance of being constrained: dealing with infeasible solutions
  in Differential Evolution and beyond

Learning How to Optimize Black-Box Functions With Extreme Limits on the
  Number of Function Evaluations

B2Opt: Learning to Optimize Black-box Optimization with Little Budget


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


Microbial Genome Circular plotting tool for comparative genomics using Circos

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla


A Python package for mapping sequence aligned data onto protein structures

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

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

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


Convolutional Interactive Artificial Neural Networks by/for Astrophysicists

SKA Science Data Challenge 2: analysis and results

Monthly notices of the Royal Astronomical Society


THELI is a data processing pipeline for astronomical images

A Significant Excess in Major Merger Rate for AGNs with the Highest Eddington Ratios at z < 0.2

The Close AGN Reference Survey (CARS)

Chasing Tails: Active Asteroid, Centaur, and Quasi-Hilda Discovery with
  Astroinformatics and Citizen Science


Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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

Multi-Concept Customization of Text-to-Image Diffusion

ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation

DreamVideo: Composing Your Dream Videos with Customized Subject and
  Motion

Decoupled Textual Embeddings for Customized Image Generation


Dual Sparse Attention Network For Session-based Recommendation

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

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


[CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset


A framework for creating linguistic experiments

Cross-linguistic scope ambiguity: When two systems meet

In support of representational economy: Agreement in heritage Spanish

Glossa: a journal of general linguistics

Generalization of French and Portuguese plural alternations and initial syllable protection

Natural language & linguistic theory/Natural language and linguistic theory

Constraint cumulativity in phonotactics: evidence from artificial grammar learning studies

Weight and final vowels in the English stress system

Vowel unpredictability in Hijazi Arabic monosyllabic verbs


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


A minimal nmt example to serve as an seq2seq+attention reference.

Neural Machine Translation by Jointly Learning to Align and Translate

Effective Approaches to Attention-based Neural Machine Translation

Massive Exploration of Neural Machine Translation Architectures


This repository is an extension of GAN based speech enhancement called SEGAN, and we present two modifications to make model training more robust and stable.

Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data

Transformation of low-quality device-recorded speech to high-quality
  speech using improved SEGAN model

Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems

Maria Grazia and Naples

Neural voice cloning with a few low-quality samples


National Electricity Market Optimiser


A Python library for knowledge graph representation learning (graph embedding).

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Convolutional 2D Knowledge Graph Embeddings

Holographic Embeddings of Knowledge Graphs

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

North American Chapter of the Association for Computational Linguistics

Probability Calibration for Knowledge Graph Embedding Models


A software to assemble chloroplast and mitochodrial genomes using PacBio data

Organelle_PBA, a pipeline for assembling chloroplast and mitochondrial genomes from PacBio DNA sequencing data

The complete chloroplast genome of greater duckweed (Spirodela polyrhiza 7498) using PacBio long reads: insights into the chloroplast evolution and transcription regulation

A Comprehensive Assessment of the Secretome Responsible for Host Adaptation of the Legume Root Pathogen Aphanomyces euteiches


Computes the Mel-Cepstral Distance of two WAV files based on the paper "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment" by Robert F. Kubichek.

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop

Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding

Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis


[MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

Complementary time-frequency domain networks for dynamic parallel MR image reconstruction


Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Training on Polar Image Transformations Improves Biomedical Image Segmentation

Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images


orthology assignment using phylogenetic and network analyses

Broccoli: combining phylogenetic and network analyses for orthology assignment

Benchmarking orthology methods using phylogenetic patterns defined at the base of Eukaryotes

Caenorhabditis elegans MES-3 is a highly divergent ortholog of the canonical PRC2 component SUZ12


CaRB - A Crowdsourced Benchmark for Open IE

Creating a Large Benchmark for Open Information Extraction

Empirical Methods in Natural Language Processing

CaRB: A Crowdsourced Benchmark for Open IE

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

Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT

CompactIE: Compact Facts in Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

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

Syntactic Multi-view Learning for Open Information Extraction

Constrained Tuple Extraction with Interaction-Aware Network

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


Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems

Scaling Graph-based Deep Learning models to larger networks


SurFree: a fast surrogate-free black-box attack

Exploring Transferability on Adversarial Attacks

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


[MIDL 2021] Learning Diffeomorphic and Modality-invariant Registration using B-splines

TransMorph: Transformer for unsupervised medical image registration

Fourier-Net: Fast Image Registration with Band-limited Deformation

Arbitrary Order Total Variation for Deformable Image Registration

Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D
  Medical Image Registration


The MNIST handwritten digit images transformed into a data set for sequence learning. This data set contains pen stroke sequences based on the original MNIST images.

Aligning Time Series on Incomparable Spaces

Continual Learning in Recurrent Neural Networks with Hypernetworks.

Incremental Sequence Learning


A formalized proof of a version of the initiality conjecture

The Univalence Principle

The Hurewicz theorem in homotopy type theory

Characterizations of modalities and lex modalities

Central H-spaces and banded types

Type-Theoretic Signatures for Algebraic Theories and Inductive Types

Ext groups in Homotopy Type Theory

Construction of the Circle in UniMath


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

pyhector: A Python interface for the simple climate model Hector


MATLAB implementation of the R-MAC descriptor and the intergral-max-pooling localization (ICLR 2016 paper)

Particular object retrieval with integral max-pooling of CNN activations

Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions.

Benchmarking unsupervised near-duplicate image detection

Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?


doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are grounded in the associated documents.

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue

Generative Model Using Knowledge Graph for Document-Grounded Conversations

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering


Inference of high-quality embeddings of complex networks into the hyperbolic disk.

Mercator: uncovering faithful hyperbolic embeddings of complex networks

The inherent community structure of hyperbolic networks

Hyperbolic disc embedding of functional human brain connectomes using resting state fMRI

Embedding-aided network dismantling

Hyperbolic mapping of human proximity networks

Topology and Geometry of the Third-Party Domains Ecosystem


Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Spectral Networks and Locally Connected Networks on Graphs

Graph Neural Networks: A Review of Methods and Applications

Deep Convolutional Networks on Graph-Structured Data

Graph Neural Networks with convolutional ARMA filters

Spectral Clustering with Graph Neural Networks for Graph Pooling

Graph Convolutional Neural Networks via Scattering

Applied and computational harmonic analysis

Mincut pooling in Graph Neural Networks.

State of the Art and Potentialities of Graph-level Learning

PiNet: Attention Pooling for Graph Classification


A benchmark for Salient Object Detection (SOD).

Deeply Supervised Salient Object Detection with Short Connections

IEEE transactions on pattern analysis and machine intelligence

Benchmarking Deep Models for Salient Object Detection

KD-SCFNet: Towards More Accurate and Efficient Salient Object Detection
  via Knowledge Distillation


Improving Black-box Adversarial Attacks with a Transfer-based Prior

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based
  Prior


Record my work in transfer learning during my postgraduate period.

Wasserstein GAN

Improved Training of Wasserstein GANs

Learning Transferable Features with Deep Adaptation Networks

Deep Transfer Learning with Joint Adaptation Networks

语文教学通讯：初中（B）

Deep Domain Confusion: Maximizing for Domain Invariance

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Deep multi-Wasserstein unsupervised domain adaptation


Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

Faithful Chain-of-Thought Reasoning


A PyTorch implementation of Attention is all you need

Attention Is All You Need

Initialization and Regularization of Factorized Neural Layers

Double Path Networks for Sequence to Sequence Learning


Algorithm for the inference of cell types from single-cell RNA-seq data.

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes

Computational approaches for interpreting scRNA-seq data

Digital Cell Atlas of Mouse Uterus: From Regenerative Stage to Maturational Stage


[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

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

A Survey on Session-based Recommender Systems

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Graph Learning based Recommender Systems: A Review

NISER: Normalized Item and Session Representations to Handle Popularity Bias

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

Session-aware Linear Item-Item Models for Session-based Recommendation

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

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

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks

Exploring Global Information for Session-based Recommendation


Improved Precision and Recall Metric for Assessing Generative Models - Unofficial Pytorch Implementation

Addressing Negative Transfer in Diffusion Models


a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition

Improving Real-Time Hand Gesture Recognition with Semantic Segmentation


Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

graph2vec: Learning Distributed Representations of Graphs

Anonymous Walk Embeddings

Learning distributed representations of graphs with Geo2DR

Contrastive Graph Few-Shot Learning


Hyperbolic Graph Convolutional Networks in PyTorch.

Graph Attention Networks

Poincaré Embeddings for Learning Hierarchical Representations

Hyperbolic Graph Convolutional Neural Networks

Hyperbolic Neural Networks

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

Fully Hyperbolic Neural Networks

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Pseudo-Riemannian Graph Convolutional Networks

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning

Link Prediction without Graph Neural Networks


PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)

Improved Training of Wasserstein GANs

Data Augmentation Generative Adversarial Networks

Augmentation Backdoors


Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.

Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness


Implementation of transformers based architecture in PyTorch.

Attention Is All You Need

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

Rethinking Attention with Performers

Visual Transformers: Token-based Image Representation and Processing for Computer Vision


Training confounder-free deep learning models for medical applications

Representation Learning with Statistical Independence to Mitigate Bias

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

Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction


Explaining a black-box using Deep Variational Information Bottleneck Approach

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach

A Framework to Learn with Interpretation

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF


hULMonA (حلمنا): tHe first Universal Language MOdel iN Arabic

hULMonA: The Universal Language Model in Arabic

Meeting of the Association for Computational Linguistics

Transfer Learning Approach for Arabic Offensive Language Detection System - BERT-Based Model.

Fine-Tuning Approach for Arabic Offensive Language Detection System:
  BERT-Based Model


Implementation of Meta-Learning with Latent Embedding Optimization

Interventional Few-Shot Learning

Deep Amortized Clustering

Structured Prediction for Conditional Meta-Learning

A Structured Prediction Approach for Conditional Meta-Learning.


Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

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

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Volume Rendering of Neural Implicit Surfaces

Neuralangelo: High-Fidelity Neural Surface Reconstruction


An Integrated Cyber-Physical Ecosystem for Autonomous Driving Research and Education

AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education

AutoDRIVE Simulator -- Technical Report


Workflow for Building  Microsynteny Networks

Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l

Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes

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

Whole-genome microsynteny-based phylogeny of angiosperms

Dissecting the Genome-Wide Evolution and Function of R2R3-MYB Transcription Factor Family in Rosa chinensis

Phylogenomic analysis provides insights into MADS-box and TCP gene diversification and floral development of the Asteraceae, supported by de novo genome and transcriptome sequences from dandelion (Taraxacum officinale)


Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.

A generalizable approach for multi-view 3D human pose regression

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating Rooms


Compress conventional Vision-Language Pre-training data

Dataset Distillation

Beyond neural scaling laws: beating power law scaling via data pruning

Too Large; Data Reduction for Vision-Language Pre-Training


Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Drosophila melanogaster S2 cells

Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq

Enhancer–core-promoter specificity separates developmental and housekeeping gene regulation

Transcriptional cofactors display specificity for distinct types of core promoters

Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution

STARR‐seq and UMI‐STARR‐seq: Assessing Enhancer Activities for Genome‐Wide‐, High‐, and Low‐Complexity Candidate Libraries

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers

Enhancers display constrained sequence flexibility and context-specific modulation of motif function


Easy stellar SED fitting!

An ultrahot Neptune in the Neptune desert

ariadne: measuring accurate and precise stellar parameters through SED fitting

Revisiting bright delta Scuti stars and their period-luminosity relation
  with TESS and Gaia DR3

Five young δ Scuti stars in the Pleiades seen with Kepler/K2

NEID Rossiter–McLaughlin Measurement of TOI-1268b: A Young Warm Saturn Aligned with Its Cool Host Star

TOI-2196 b: Rare planet in the hot Neptune desert transiting a G-type star

TOI-1670 b and c: An Inner Sub-Neptune with an Outer Warm Jupiter Unlikely to Have Originated from High-eccentricity Migration

The nearest neutron star candidate in a binary revealed by optical time-domain surveys

Phase curve and geometric albedo of WASP-43b measured with CHEOPS, TESS, and HST WFC3/UVIS

A Long-period Pre-ELM System Discovered from the LAMOST Medium-resolution Survey


A repository for implementing graph network models based on atomic structures.

Benchmarking Graph Neural Networks

SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

Learning Mesh-Based Simulation with Graph Networks

Score-based denoising for atomic structure identification

Quantifying disorder one atom at a time using an interpretable graph neural network paradigm

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models


CLIR version of ColBERT

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

Relevance-guided Supervision for OpenQA with ColBERT

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Neural Approaches to Multilingual Information Retrieval


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

Learning Delicate Local Representations for Multi-Person Pose Estimation

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

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

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


DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)

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

Understanding INT4 Quantization for Transformer Models: Latency Speedup,
  Composability, and Failure Cases

Transformer models: an introduction and catalog

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric
  Strategy for Diverse Generative Tasks


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

Cold Start Streaming Learning for Deep Networks


Symmetric evaluation set based on the FEVER (fact verification) dataset

Towards Debiasing Fact Verification Models

Increasing Robustness to Spurious Correlations using Forgettable Examples

Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning

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

Uncertainty Calibration for Ensemble-Based Debiasing Methods

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding

Feature-Level Debiased Natural Language Understanding

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models


core  code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Hiding Images in Deep Probabilistic Models

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding


Conversion from tetrahedra (triangles) to hexahedra (quadrangles)

Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy

A geometric multiscale model for the numerical simulation of blood flow in the human left heart

Discrete and continuous dynamical systems. Series S

Impact of Atrial Fibrillation on Left Atrium Haemodynamics: A
  Computational Fluid Dynamics Study

Finite volume simulation framework for die casting with uncertainty quantification

Genetic Algorithm based Multi-Objective Optimization of Solidification in Die Casting using Deep Neural Network as Surrogate Model.


A Natural Portuguese Language Benchmark (Napolab) for the evaluation of language models.

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

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

Sabiá: Portuguese Large Language Models


Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video
  Anomaly Detection

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection


Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

Matching Networks for One Shot Learning

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Learning from Few Samples: A Survey

Meta-learning algorithms for Few-Shot Computer Vision


Russian language support for NLTK's PunktSentenceTokenizer

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

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

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


COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

OPT-IML: Scaling Language Model Instruction Meta Learning through the
  Lens of Generalization

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers


unsupervised video and image generation

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Sliced Wasserstein Generative Models

Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs


CO-MOT: Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors


Pytorch implementation of our NeurIPS'20 *Oral* paper "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles".

Improving Adversarial Robustness via Promoting Ensemble Diversity

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial attacks for mixtures of classifiers


[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Temporal Memory Relation Network for Workflow Recognition From Surgical Video

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

Metrics Matter in Surgical Phase Recognition


X-Class: Text Classification with Extremely Weak Supervision

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

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

Towards Weakly-Supervised Hate Speech Classification Across Datasets


repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Galaxy morphology classification using neural ordinary differential equations

Latent Time Neural Ordinary Differential Equations


BiLSTM-CNN-CRF architecture for sequence tagging

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

Fine-Grained Named Entity Recognition in Legal Documents

Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches

From POS tagging to dependency parsing for biomedical event extraction

Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding

Language-Agnostic Syllabification with Neural Sequence Labeling

Multi-Task Learning for Argumentation Mining

Recognizing Musical Entities in User-generated Content


Adversarial training for Graph Neural Networks

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Adversarial Attack and Defense on Graph Data: A Survey

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks


Kaggle | 1st place solution for Freesound Audio Tagging 2019

mixup: Beyond Empirical Risk Minimization

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Learning Sound Event Classifiers from Web Audio with Noisy Labels

Audio tagging with noisy labels and minimal supervision

Music theme recognition using CNN and self-attention

Urban Sound Classification : striving towards a fair comparison


Weakly Supervised Learning for Findings Detection in Medical Images

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

International journal of computer vision

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Learning to diagnose from scratch by exploiting dependencies among labels


Towards Natural Language Interfaces for Data Visualization: A Survey

Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models

Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural
  Language Text and Pre-Trained Large Language Models


Generalized Optimal Sparse Decision Trees

Generalized and Scalable Optimal Sparse Decision Trees

Fast Sparse Decision Tree Optimization via Reference Ensembles

Connecting Interpretability and Robustness in Decision Trees through Separation

Dive into Decision Trees and Forests: A Theoretical Demonstration


Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Learning Latent Relations for Temporal Knowledge Graph Reasoning


This page is a companion for our paper on optimal link prediction, written by Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan, Edoardo M. Airoldi, and Aaron Clauset. (arXiv:1909.07578)

Stacking models for nearly optimal link prediction in complex networks

“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Network Estimation by Mixing: Adaptivity and More

Short Note on Comparing Stacking Modelling Versus Cannistraci-Hebb Adaptive Network Automata for Link Prediction in Complex Networks


Contrast-agnostic segmentation of MRI scans

Brain Imaging Generation with Latent Diffusion Models

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

A Learning Strategy for Contrast-agnostic MRI Segmentation

Robust machine learning segmentation for large-scale analysis of
  heterogeneous clinical brain MRI datasets

Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast

Medical Image Computing and Computer-Assisted Intervention

Unsupervised Data Imputation via Variational Inference of Deep Subspaces

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs

International Symposium on Biomedical Imaging

DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression
  for Real-World Clinical Applications


PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

Revealing the Myth of Higher-Order Inference in Coreference Resolution

A Structured Span Selector

Parallel Data Helps Neural Entity Coreference Resolution


Data preparation and loader for AMASS

AMASS: Archive of Motion Capture as Surface Shapes

History Repeats Itself: Human Motion Prediction via Motion Attention

Deep motifs and motion signatures

SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS

Multi-level Motion Attention for Human Motion Prediction


The Dataset for Multi Label Hate Speech and Abusive Language Detection in Indonesian Twitter

Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Deep Learning Models for Multilingual Hate Speech Detection

Hate Speech Detection in Indonesian Twitter using Contextual Embedding Approach

Indonesian Journal of Computing and Cybernetics Systems

Identifikasi Ujaran Kebencian Multilabel Pada Teks Twitter Berbahasa Indonesia Menggunakan Convolution Neural Network

Jurnal Sistem Komputer dan Informatika (JSON)


A list of datasets, tools, papers and code related to Deepfakes.

SimSwap: An Efficient Framework For High Fidelity Face Swapping

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

LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

DeepFacePencil: Creating Face Images from Freehand Sketches

Talking Face Generation with Expression-Tailored Generative Adversarial Network


Time-Scale Modification For MATLAB

Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA)

Workshop on Applications of Signal Processing to Audio and Acoustics

A time-scale modification dataset with subjective quality labels

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

An Objective Measure of Quality for Time-Scale Modification of Audio

Stereo Time-Scale Modification Using Sum and Difference Transformation

International Conference on Signal Processing and Communication Systems

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio.


Dataset + classifier tools to study social perception biases in natural language generation

The Woman Worked as a Babysitter: On Biases in Language Generation

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Societal Biases in Language Generation: Progress and Challenges

Towards Controllable Biases in Language Generation

Fairness Testing: A Comprehensive Survey and Analysis of Trends

An Analysis of the Effects of Decoding Algorithms on Fairness in
  Open-Ended Language Generation


Deep Contextual Video Compression

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Proceedings of the 30th ACM International Conference on Multimedia

Temporal Context Mining for Learned Video Compression

Neural Video Compression with Diverse Contexts

EVC: Towards Real-Time Neural Image Compression with Mask Decay

The Bjøntegaard Bible Why your Way of Comparing Video Codecs May Be Wrong

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

Bitstream Organization for Parallel Entropy Coding on Neural
  Network-based Video Codecs

Boosting Neural Representations for Videos with a Conditional Decoder


Fast linear algebra in MATLAB

A Recursive Skeletonization Factorization Based on Strong Admissibility

Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations

FMM-LU: A fast direct solver for multiscale boundary integral equations
  in three dimensions

Equispaced Fourier representations for efficient Gaussian process
  regression from a billion data points


Mapping pipeline for data generated using Arima-HiC

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

Six reference-quality genomes reveal evolution of bat adaptations

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

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

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

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

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

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

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

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


f-IRL: Inverse Reinforcement Learning via State Marginal Matching

SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time
  Guarantees


list of brain networks ready to be downloaded for your brainhacking pleasure

BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

Whole-animal connectomes of both Caenorhabditis elegans sexes

Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication

Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

A Functional Cartography of Cognitive Systems

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

High-resolution data-driven model of the mouse connectome

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome

Navigable maps of structural brain networks across species

Combining Multiple Functional Connectivity Methods to Improve Causal Inferences


Topology weighting by iterative sampling of sub-trees

Recombination rate variation shapes barriers to introgression across butterfly genomes

Exploring Evolutionary Relationships Across the Genome Using Topology Weighting

Cortex cis-regulatory switches establish scale colour identity and pattern diversity in Heliconius

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

Genomic conservation of crop wild relatives: A case study of citrus

Ecological Diversification in an Adaptive Radiation of Plants: The Role of De Novo Mutation and Introgression

bioRxiv : the preprint server for biology


:fire: A PyTorch implementation of a Bi-LSTM CRF with character-level features

Bidirectional LSTM-CRF Models for Sequence Tagging

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

Named Entity Recognition with Bidirectional LSTM-CNNs

Ludwig: a type-based declarative deep learning toolbox


spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs  using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

Structural Deep Network Embedding

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

ChebNet: Efficient and Stable Constructions of Deep Neural Networks with
  Rectified Power Units via Chebyshev Approximations

Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning.


[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline

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


ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

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

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

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

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Test-time Batch Statistics Calibration for Covariate Shift

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

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Robust Test-Time Adaptation in Dynamic Scenarios

DELTA: degradation-free fully test-time adaptation


Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

Learning to Super Resolve Intensity Images from Events

Experimental Comparison between Event and Global Shutter Cameras


The StarCraft Multi-Agent Challenge

Deep Coordination Graphs

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


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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

SwinIR: Image Restoration Using Swin Transformer

Swin Transformer V2: Scaling Up Capacity and Resolution


[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation

LLM Performance Predictors are good initializers for Architecture Search


Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

A Survey on Causal Inference

Causal Knowledge Guided Societal Event Forecasting


Reinforcement Learning via Supervised Learning

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

Reliable Conditioning of Behavioral Cloning for Offline Reinforcement
  Learning

Direct Preference-based Policy Optimization without Reward Modeling


Dataset of diseased plant leaf images and corresponding labels

Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Cardamom Plant Disease Detection Approach Using EfficientNetV2

Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data

Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set

DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease

Resources for image-based high-throughput phenotyping in crops and data sharing challenges

Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning

Crop Disease Classification on Inadequate Low-Resolution Target Images


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

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Fashion-Gen: The Generative Fashion Dataset and Challenge

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Nested Scale Editing for Conditional Image Synthesis


Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"

La-MAML: Look-ahead Meta Learning for Continual Learning

Learning where to learn: Gradient sparsity in meta and continual learning

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


Data and code supporting Hansen et al., 2022 "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

Network connectivity and local transcriptomic vulnerability underpin cortical atrophy progression in Parkinson’s disease


A Toolkit for Distributional Control of Generative Models

Aligning Language Models with Preferences through f-divergence
  Minimization

On Reinforcement Learning and Distribution Matching for Fine-Tuning
  Language Models with no Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints

Should you marginalize over possible tokenizations?

disco: a toolkit for Distributional Control of Generative Models


Do We Really Need Complicated Model Architectures For Temporal Networks?

Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library


Tools for workup of the HAM10000 dataset

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

Diagnosis of Various Skin Cancer Lesions Based on Fine-Tuned ResNet50 Deep Network

Computers, materials & continua/Computers, materials & continua (Print)


DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Deep learning in mental health outcome research: a scoping review

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

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


Training Generative Adversarial Networks with Limited Data

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation


Max-margin DeepWalk

A Survey on Network Embedding

Network Representation Learning: A Survey

Max-margin deepwalk: discriminative learning of network representation

International Joint Conference on Artificial Intelligence


Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Contrastive Learning for Unpaired Image-to-Image Translation

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset


A curated list of awesome serverless research works, including papers and open-sourced projects.

Pocket: Elastic Ephemeral Storage for Serverless Analytics.

Catalyzer: Sub-millisecond Startup for Serverless Computing with Initialization-less Booting

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

Cloudburst: Stateful Functions-as-a-Service

Architectural Implications of Function-as-a-Service Computing

Sprocket

Characterizing serverless platforms with serverlessbench

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

International Conference on Architectural Support for Programming Languages and Operating Systems

EuroSys - SEUSS: skip redundant paths to make serverless fast

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Formal foundations of serverless computing

Proceedings of the ACM on programming languages

Replayable Execution Optimized for Page Sharing for a Managed Runtime Environment

Proceedings of the Fourteenth EuroSys Conference 2019


Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)

Understanding the Role of Training Regimes in Continual Learning

Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent

Dropout as an Implicit Gating Mechanism For Continual Learning


2018AIOps: The 1st match for AIOps

Deep Contrastive One-Class Time Series Anomaly Detection

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection

A Comparative Study on Unsupervised Anomaly Detection for Time Series:
  Experiments and Analysis

Label-Efficient Interactive Time-Series Anomaly Detection


[ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models

Analyzing and Improving the Image Quality of StyleGAN

Large Scale Adversarial Representation Learning

Diverse Image Generation via Self-Conditioned GANs

Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models.


Datasets for EMNLP-IJCNLP 2019 paper "NCLS:Neural Cross-Lingual Summarization"

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

NCLS: Neural Cross-Lingual Summarization

A Variational Hierarchical Model for Neural Cross-Lingual Summarization

Multi-Task Learning for Cross-Lingual Abstractive Summarization

To Adapt or to Fine-tune: A Case Study on Abstractive Summarization


JavaScript RISC-V ISA Simulator. Boots linux in a web-browser.


Implementation of CVPR 2016 paper

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Pointing Novel Objects in Image Captioning

ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning


Original dataset release for CIFAR-10H

The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation

Active label cleaning for improved dataset quality under resource constraints

SemEval-2021 Task 12: Learning with Disagreements

Meeting of the Association for Computational Linguistics

Scaling and Disagreements: Bias, Noise, and Ambiguity

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

Do humans and machines have the same eyes? Human-machine perceptual
  differences on image classification


VGGFace2: A dataset for recognising faces across pose and age

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

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

Towards a Reliable Face Recognition System

Proceedings of the international neural networks society

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


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

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

Volume Rendering of Neural Implicit Surfaces

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

Critical Regularizations for Neural Surface Reconstruction in the Wild

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips


STARTRAC(Single T-cell Analysis by Rna-seq and Tcr TRACking)

Tumour heterogeneity and intercellular networks of nasopharyngeal carcinoma at single cell resolution

Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs

Deep single-cell RNA sequencing data of individual T cells from treatment-naïve colorectal cancer patients

Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients

STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets

The Journal of experimental medicine/The journal of experimental medicine


Implementation of Glow in PyTorch

Glow: Generative Flow with Invertible 1x1 Convolutions

On Out-of-distribution Detection with Energy-based Models

Semantic Perturbations with Normalizing Flows for Improved Generalization

Evaluating Out-of-Distribution Detectors Through Adversarial Generation
  of Outliers

Flow Based Models For Manifold Data.

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Spread Flows for Manifold Modelling


Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

Rotated Binary Neural Network

SiMaN: Sign-to-Magnitude Network Binarization

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy


a large-scale high-quality medical dialogue dataset

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

Medical Dialogue Response Generation with Pivotal Information Recalling


ipapy is a Python module to work with International Phonetic Alphabet (IPA) strings

Deciphering Undersegmented Ancient Scripts Using Phonetic Prior

Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

ACE: Cooperative Multi-agent Q-learning with Bidirectional
  Action-Dependency

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


Intrusion Detection Using Mouse Dynamics

A Review of Insider Threat Detection Approaches With IoT Perspective

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication

Machine learning and knowledge extraction

ReMouse Dataset: On the Efficacy of Measuring the Similarity of Human-Generated Trajectories for the Detection of Session-Replay Bots

A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories

Design and Implementation of Continuous Authentication Mechanism Based on Multimodal Fusion Mechanism

Mouse Dynamics Behavioral Biometrics: A Survey


(ICCV 2023) Large Selective Kernel Network for Remote Sensing Object Detection

Oriented R-CNN for Object Detection

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors


OCR-free Document Understanding Transformer

Spatial Dependency Parsing for Semi-Structured Document Information Extraction


Federated Optimization in Heterogeneous Networks (MLSys '20)

Fast-Convergent Federated Learning

FedLab: A Flexible Federated Learning Framework

EasyFL: A Low-Code Federated Learning Platform for Dummies

ActPerFL: Active Personalized Federated Learning

Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022)

Spatial-temporal Prompt Learning for Federated Weather Forecasting

FedGen: Generalizable Federated Learning for Sequential Data

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment

Federated Learning for Clinical Structured Data: A Benchmark Comparison
  of Engineering and Statistical Approaches


Autoencoders in PyTorch

Tutorial on Variational Autoencoders

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Machine learning in solar physics


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

Illiterate DALL-E Learns to Compose

Bridging the Gap to Real-World Object-Centric Learning

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


Code for https://arxiv.org/abs/1611.10080

Deep Residual Learning for Image Recognition

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China

Diagnostics in Semantic Segmentation


The integration of single cell rank-based gene set enrichment analysis

Microglia-specific transcriptional repression of interferon-regulated genes after prolonged stress in mice

Single-cell RNA sequencing reveals TCR+ macrophages in HPV-related head and neck squamous cell carcinoma

Identification of peripheral blood immune infiltration signatures and construction of monocyte-associated signatures in ovarian cancer and Alzheimer's disease using single-cell sequencing

Single-cell transcriptome analysis reveals the metabolic changes and the prognostic value of malignant hepatocyte subpopulations and predict new therapeutic agents for hepatocellular carcinoma


Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations


An accurate and ultra-fast hybrid genome assembler

HASLR: Fast Hybrid Assembly of Long Reads

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

WENGAN: Efficient and high quality hybrid de novo assembly of human genomes

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


Generalized SEIR Epidemic Model (fitting and computation)

Epidemic analysis of COVID-19 in China by dynamical modeling

The role of seasonality in the spread of COVID-19 pandemic

A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

Forecast analysis of the epidemics trend of COVID-19 in the United States by a generalized fractional-order SEIR model

Implication of repatriating migrant workers on COVID-19 spread and transportation requirements

Global sensitivity analysis in epidemiological modeling

European journal of operational research

The impact of crowd gatherings on the spread of COVID-19

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic

Real-Time Differential Epidemic Analysis and Prediction for COVID-19 Pandemic


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

Interpretable Image Classification with Differentiable Prototypes Assignment

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

Interpretability Benchmark for Evaluating Spatial Misalignment of
  Prototypical Parts Explanations


Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Learning Fine-grained Image Similarity with Deep Ranking

Retrieving Similar E-Commerce Images Using Deep Learning

MILDNet: A Lightweight Single Scaled Deep Ranking Architecture


[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

TransGAN: Two Transformers Can Make One Strong GAN

Combining Transformer Generators with Convolutional Discriminators

Unveiling the Latent Space Geometry of Push-Forward Generative Models


Safety Score for Pre-Trained Language Models

Baichuan 2: Open Large-scale Language Models

Textbooks Are All You Need II: phi-1.5 technical report


[CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".

Cross-Layer Distillation with Semantic Calibration

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression


Gold Loss Correction

Learning from Noisy Labels with Deep Neural Networks: A Survey

Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding


[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

Energy-Based Models for Deep Probabilistic Regression

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

Learning Proposals for Practical Energy-Based Regression

DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range
  Angles


Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Strong-Weak Distribution Alignment for Adaptive Object Detection


A python module for word inflections designed for use with spaCy.

SimpLex: a lexical text simplification architecture

Gender-Inclusive Grammatical Error Correction through Augmentation


Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).

On Pruning Adversarially Robust Neural Networks

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

Deadwooding: Robust Global Pruning for Deep Neural Networks


Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

Learning with Opponent-Learning Awareness

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement
  Learning

Proximal Learning With Opponent-Learning Awareness

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition


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

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

Curated variation benchmarks for challenging medically relevant autosomal genes

The design and construction of reference pangenome graphs

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


a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Selective Kernel Networks

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Rethinking the Pruning Criteria for Convolutional Neural Network

Spatial Group-Wise Enhance: Enhancing Semantic Feature Learning in CNN

Understanding the Disharmony between Weight Normalization Family and Weight Decay: ε-shifted L 2 Regularizer.


Protein Identification with Deep Learning

De novo peptide sequencing by deep learning

Research in Computational Molecular Biology

Sequence-to-sequence translation from mass spectra to peptides with a transformer model

Protein identification with deep learning: from abc to xyz


32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Proximal Policy Optimization Algorithms

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

Addressing Function Approximation Error in Actor-Critic Methods

FORK: A FORward-looKing Actor for Model-Free Reinforcement Learning


Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Coreferential Reasoning Learning for Language Representation

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Global-to-Local Neural Networks for Document-Level Relation Extraction

DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing

Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation

Mention-centered Graph Neural Network for Document-level Relation Extraction


Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings

Concept-based model explanations for Electronic Health Records

Proceedings of the Conference on Health, Inference, and Learning

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Journal of the American Medical Informatics Association : JAMIA

Boosting the interpretability of clinical risk scores with intervention
  predictions


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


Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Simplified Graph Learning for Inductive Short Text Classification

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

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

International Conference on Computational Linguistics


Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction

Tackling Graphical NLP problems with Graph Recurrent Networks


rGAN: Label-Noise Robust Generative Adversarial Networks

Conditional Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Robustness of Conditional GANs to Noisy Labels


Codebase for An Efficient Framework for Clustered Federated Learning.

FedLab: A Flexible Federated Learning Framework

Architectural Patterns for the Design of Federated Learning Systems

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

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


Parsing Reading Predict Network

Compound Probabilistic Context-Free Grammars for Grammar Induction

Generating Sentences from Disentangled Syntactic and Semantic Spaces

Visually Grounded Neural Syntax Acquisition

Grammar Induction with Neural Language Models: An Unusual Replication

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models

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

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

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


Provable adversarial robustness at ImageNet scale

Certified Adversarial Robustness via Randomized Smoothing

Certified Robustness to Adversarial Examples with Differential Privacy

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

Consistency Regularization for Certified Robustness of Smoothed Classifiers

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Adversarial Robustness with Non-uniform Perturbations


Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

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

XEM: An explainable-by-design ensemble method for multivariate time series classification

Time-Series Classification in Smart Manufacturing Systems: An
  Experimental Evaluation of State-of-the-Art Machine Learning Algorithms


Plotly dataset-visualization pairs, feature extraction scripts, and model training code for VizML (CHI 2019)

VizML: A Machine Learning Approach to Visualization Recommendation

Table2Charts: Recommending Charts by Learning Shared Table Representations

Machine Learning for Visualization Recommendation Systems: Open
  Challenges and Future Directions