Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition

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

Mask-invariant Face Recognition through Template-level Knowledge Distillation

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions

Privacy-Preserving Multi-Biometric Indexing Based on Frequent Binary Patterns

Fast-DiM: Towards Fast Diffusion Morphs

Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs


Tools for analysis of climate model data

Deriving the operational procedure for the Universal Thermal Climate Index (UTCI)

Probing the Fast and Slow Components of Global Warming by Returning Abruptly to Preindustrial Forcing

Transient Climate Response in a Two-Layer Energy-Balance Model. Part I: Analytical Solution and Parameter Calibration Using CMIP5 AOGCM Experiments

Transient Climate Response in a Two-Layer Energy-Balance Model. Part II: Representation of the Efficacy of Deep-Ocean Heat Uptake and Validation for CMIP5 AOGCMs

Quantifying components of aerosol-cloud-radiation interactions in climate models

Journal of Geophysical Research: Atmospheres

Extending CMIP5 projections of global mean temperature change and sea level rise due to thermal expansion using a physically-based emulator


The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning


Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Learning to Prompt for Continual Learning

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models

Continual Learning via Learning a Continual Memory in Vision Transformer


[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Graph Self-Supervised Learning: A Survey

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

Augmentation-Free Self-Supervised Learning on Graphs

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

Geometric Graph Representation Learning via Maximizing Rate Reduction

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs)


Using graph network to solve PDEs

Neural Operator: Learning Maps Between Function Spaces

Neural Operator: Graph Kernel Network for Partial Differential Equations

Multipole Graph Neural Operator for Parametric Partial Differential Equations

Physics-Informed Deep Neural Operator Networks

Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network

Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs

Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning


Material from the DARPA Transparent Computing Program

HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows

THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning

GrAALF:Supporting Graphical Analysis of Audit Logs for Forensics

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation

Combating Advanced Persistent Threats: Challenges and Solutions

Recommender Systems in Cybersecurity

Xanthus: Push-button Orchestration of Host Provenance Data Collection

Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems

LogKernel: A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering

Ostinato: Cross-host Attack Correlation Through Attack Activity Similarity Detection


Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Coarse-to-Fine Q-attention with Learned Path Ranking

Coarse-to-fine Q-attention with Tree Expansion


A pytorch implementation to train the conditional imitation learning policy in "Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective".

End-to-end Driving via Conditional Imitation Learning

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control


TOGA: A Neural Method for Test Oracle Generation

Proceedings of the 44th International Conference on Software Engineering

Towards More Realistic Evaluation for Neural Test Oracle Generation

Neural-Based Test Oracle Generation: A Large-Scale Evaluation and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation


Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.

GBDT-MO: Gradient-Boosted Decision Trees for Multiple Outputs

SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems


MOsaic CHromosomal Alterations (MoChA) caller

Insights into clonal haematopoiesis from 8,342 mosaic chromosomal alterations

Monogenic and polygenic inheritance become instruments for clonal selection

Chromosomal alterations among age-related haematopoietic clones in Japan

Rawcopy: Improved copy number analysis with Affymetrix arrays

Large mosaic copy number variations confer autism risk

Mosaic chromosome Y loss is associated with alterations in blood cell counts in UK Biobank men

Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer

medRxiv : the preprint server for health sciences

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

Biological insights from the whole genome analysis of human embryonic stem cells

MONTAGE: a new tool for high-throughput detection of mosaic copy number variation


PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Learning Graph Embeddings for Compositional Zero-shot Learning

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning


face-cluster-by-infomap 一种无监督人脸聚类方法，在开源数据集上取得SOTA效果

Linkage Based Face Clustering via Graph Convolution Network

Learning to Cluster Faces on an Affinity Graph

Learning to Cluster Faces via Confidence and Connectivity Estimation


Mutual Information Neural Estimation in Pytorch

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

MINE: Mutual Information Neural Estimation

Opening the Black Box of Deep Neural Networks via Information

Machine learning in solar physics

On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning


[NeurIPS 2023] UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models


Dilated CNNs for NER in TensorFlow

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision


A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

LIMO: Latent Inceptionism for Targeted Molecule Generation

Reinforcement Learning of Molecule Optimization with Bayesian Neural Networks

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


Music Transformer Sequence Generation in Pytorch

Sequence to Sequence Learning with Neural Networks

Self-Attention with Relative Position Representations

Music Transformer

This Time with Feeling: Learning Expressive Musical Performance


Why do tree-based models still outperform deep learning on typical tabular data?

Why do tree-based models still outperform deep learning on tabular data?

Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features

Trompt: Towards a Better Deep Neural Network for Tabular Data

BiSHop: Bi-Directional Cellular Learning for Tabular Data with
  Generalized Sparse Modern Hopfield Model

Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains


1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection（公式检测冠军方案）

FCOS: Fully Convolutional One-Stage Object Detection

ResNeSt: Split-Attention Networks

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

FormulaNet: A Benchmark Dataset for Mathematical Formula Detection

1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection


RepEnrich2 is an updated method to estimate repetitive element enrichment using high-throughput sequencing data.

Expression dynamics of repetitive DNA in early human embryonic development

easyCLIP Analysis of RNA-Protein Interactions Incorporating Absolute Quantification

SETDB1 fuels the lung cancer phenotype by modulating epigenome, 3D genome organization and chromatin mechanical properties

A versatile mouse model of epitope-tagged histone H3.3 to study epigenome dynamics


Benchmarking the Spectrum of Agent Capabilities

TransDreamer: Reinforcement Learning with Transformer World Models

GriddlyJS: A Web IDE for Reinforcement Learning

EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents


A framework for inference and testing of software behaviour.

DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

Learning Concise Models from Long Execution Traces

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

PRINS: scalable model inference for component-based system logs

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

Interactive semi-automated specification mining for debugging: An experience report

An Empirical Study on Practicality of Specification Mining Algorithms on a Real-world Application


The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

Adversarial Video Generation on Complex Datasets

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Lower Dimensional Kernels for Video Discriminators

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

Temporal Shift GAN for Large Scale Video Generation


MSE5540/6640 Materials Informatics course at the University of Utah

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

Machine Learning for Materials Scientists: An Introductory Guide Towards Best Practices

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

Machine Learning Directed Search for Ultraincompressible, Superhard Materials

Journal of the American Chemical Society

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery

Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons

Compositionally restricted attention-based network for materials property predictions


OPAL: Open-community Profiling Assessment tooL

Critical Assessment of Metagenome Interpretation – a benchmark of computational metagenomics software

Assessing taxonomic metagenome profilers with OPAL

Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit


Code for Discriminability objective for training descriptive captions(CVPR 2018)

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Context-aware Captions from Context-agnostic Supervision

Describing like humans: on diversity in image captioning

Towards Unique and Informative Captioning of Images


A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files

Multi-state design of flexible proteins predicts sequences optimal for conformational change

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning

Conserved and divergent chaperoning effects of Hsp60/10 chaperonins on protein folding landscapes

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


Reproduction of 'Analysing Mathematical Reasoning Abilities of Neural Models' Saxton et. al. 2019

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models

Attending to Mathematical Language with Transformers


OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

How to Index Item IDs for Recommendation Foundation Models

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

SLMRec: Empowering Small Language Models for Sequential Recommendation


Lexicons for the Multilingual UCREL Semantic Analysis System

Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages

Tagging Named Entities in 19th Century and Modern Finnish Newspaper Material with a Finnish Semantic Tagger

Nordic Conference of Computational Linguistics

FiST – towards a free Semantic Tagger of modern standard Finnish

Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non-Expert Crowds

Proceedings of the 1st Workshop on Sense, Concept and Entity
          Representations and their Applications


Deep Learning for Astronomers with Keras

Deep learning of multi-element abundances from high-resolution spectroscopic data

Monthly notices of the Royal Astronomical Society

Simultaneous calibration of spectro-photometric distances and the Gaia DR2 parallax zero-point offset with deep learning

Monthly Notices of the Royal Astronomical Society

The age-chemical abundance structure of the Galactic disc II:
  α-dichotomy and thick disc formation

Solar image denoising with convolutional neural networks

Quantifying radial migration in the Milky Way: inefficient over short time-scales but essential to the very outer disc beyond ∼15 kpc

The Milky Way tomography with APOGEE: intrinsic density distribution and structure of mono-abundance populations

A variational encoder-decoder approach to precise spectroscopic age estimation for large Galactic surveys

The stellar mass of the Gaia-Sausage/Enceladus accretion remnant

Elemental abundances distributions in (R, V_ϕ) plane with LAMOST
  DR5 and Gaia DR2

Timing the Milky Way bar formation and the accompanying radial migration
  episode


DAGs with NO TEARS: Continuous Optimization for Structure Learning

Learning Sparse Nonparametric DAGs

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Ordering-Based Causal Discovery with Reinforcement Learning

Unsuitability of NOTEARS for Causal Graph Discovery when Dealing with Dimensional Quantities

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Exoplanet Planet Simulator (PlaSim extended for different planet types (including tidally-locked) and evolution on geological timescales--glaciers and carbon cycle)

Water Vapour Transit Ambiguities for Habitable M-Earths

Haze Optical Depth in Exoplanet Atmospheres Varies with Rotation Rate: Implications for Observations

A Large Repository of 3D Climate Model Outputs for Community Analysis and Postprocessing


inetmanet branch of inet-framework 2.0

A New IEEE 802.15.4 Simulation Model for OMNeT++ / INET

DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks

mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm

Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)

AntWMNet - A Hybrid Routing Algorithm for Wireless Mesh Networks Based on Ant Colony Optimisation


A global likelihood for the Standard Model Effective Field Theory

A global likelihood for precision constraints and flavour anomalies

Rare b decays meet high-mass Drell-Yan

A model of muon anomalies

smelli -- the SMEFT Likelihood

Anomalies in B mesons decays: a phenomenological approach

Computing tools for effective field theories

Anomalies in B mesons decays: Present status and future collider prospects


Analysis tools for SLEAP-based plant root phenotyping.

Fast and Efficient Root Phenotyping via Pose Estimation

bioRxiv : the preprint server for biology


mapping functions to support openair


PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning

Learning compositional models of robot skills for task and motion planning

STRIPS Planning in Infinite Domains

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent

Combined Task and Motion Planning Via Sketch Decompositions (Extended
  Version with Supplementary Material)


Interfacing several COVID-19 related datasets

Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local authorities.

Journal of the Royal Statistical Society. Series A, (Statistics in Society)

Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study

The Relative Contribution of Climatic, Demographic Factors, Disease Control Measures and Spatiotemporal Heterogeneity to Variation of Global COVID‐19 Transmission

Assaying Large-scale Testing Models to Interpret COVID-19 Case Numbers


⚙ Matching T-cell repertoire against a database of TCR antigen specificities

A Framework for Annotation of Antigen Specificities in High-Throughput T-Cell Repertoire Sequencing Studies

Surface NKG2C Identifies Differentiated αβT-Cell Clones Expanded in Peripheral Blood

Copy number variations across the blood–brain barrier in multiple sclerosis

Annals of clinical and translational neurology


Enhancements of HCP Pipelines for non-human primates

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing

The nonhuman primate neuroimaging and neuroanatomy project

Comparative connectomics of the primate social brain

Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain

The NonHuman Primate Neuroimaging & Neuroanatomy Project

Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRI

Transient brain activity dynamics discriminate levels of consciousness during anesthesia


A library implementing different string similarity and distance measures using Python.

Inspo: Writing with Crowds Alongside AI

TransMap: Pinpointing Mistakes in Neural Code Translation

Bidirectional Interactions With Humpback Whale Singer Using Concrete Sound Elements


Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

Computing controlled invariant sets for hybrid systems with applications to model-predictive control

Certifying Unstability of Switched Systems Using Sum of Squares Programming

An Entropy-Based Bound for the Computational Complexity of a Switched System

Piecewise Semi-Ellipsoidal Control Invariant Sets


Improving Dictionary Learning with Gated Sparse Autoencoders

Scaling and evaluating sparse autoencoders

Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for
  Interpreting Neural Networks

Transcoders Find Interpretable LLM Feature Circuits


Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses

Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms

The Astrophysical Journal Supplement Series

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties


Small collection of tools for performing quality control on coronavirus sequencing data and genomes

Precision Response to the Rise of the SARS-CoV-2 B.1.1.7 Variant of Concern by Combining Novel PCR Assays and Genome Sequencing for Rapid Variant Detection and Surveillance

Immunogenicity of convalescent and vaccinated sera against clinical isolates of ancestral SARS-CoV-2, Beta, Delta, and Omicron variants

Adverse Outcomes Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant B.1.351 Infection in Vaccinated Residents of a Long-Term Care Home, Ontario, Canada

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Repeated transmission of SARS-CoV-2 in an overcrowded Irish emergency department elucidated by whole-genome sequencing

Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital

Antimicrobial stewardship & healthcare epidemiology : ASHE

Sensitivity to Neutralizing Antibodies and Resistance to Type I Interferons in SARS-CoV-2 R.1 Lineage Variants, Canada


ChemEx is an analysis program for chemical exchange detected by NMR.

Measles virus nucleo- and phosphoproteins form liquid-like phase-separated compartments that promote nucleocapsid assembly

Thermal fluctuations of immature SOD1 lead to separate folding and misfolding pathways

Structural Basis of Membrane Protein Chaperoning through the Mitochondrial Intermembrane Space

Conserved conformational selection mechanism of Hsp70 chaperone-substrate interactions

How Detergent Impacts Membrane Proteins: Atomic-Level Views of Mitochondrial Carriers in Dodecylphosphocholine

The journal of physical chemistry letters

Visualizing protein breathing motions associated with aromatic ring flipping

Interleukin-2 druggability is modulated by global conformational transitions controlled by a helical capping switch

Chemical shift prediction of RNA imino groups: application toward characterizing RNA excited states

ATP-competitive inhibitors modulate the substrate binding cooperativity of a kinase by altering its conformational entropy

Correlating histone acetylation with nucleosome core particle dynamics and function


An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Symmetric Metric Learning with Adaptive Margin for Recommendation

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

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

IEEE transactions on neural networks and learning systems

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

Multi-Facet Recommender Networks with Spherical Optimization


A framework for the elicitation, specification, formalization and understanding of requirements.

From Requirements to Autonomous Flight: An Overview of the Monitoring ICAROUS Project

A Compositional Proof Framework for FRETish Requirements


A coupled structural solver written with the C++ finite element library deal.II

preCICE v2: A sustainable and user-friendly coupling library

FEniCS-preCICE: Coupling FEniCS to other Simulation Software

Gym-preCICE: Reinforcement Learning Environments for Active Flow Control


pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data

pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components

UPF1 helicase promotes TSN-mediated miRNA decay

Genetic lines respond uniquely within the chicken thymic transcriptome to acute heat stress and low dose lipopolysaccharide


Parse multiple Antimicrobial Resistance Analysis Reports into a common data structure

Overcoming Data Bottlenecks in Genomic Pathogen Surveillance

Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing

The first report of the mobile colistin resistance gene, mcr-10.1 , in Kenya and a novel mutation in the phoQ gene (S244T) in a colistin-resistant Enterobacter cloacae clinical isolate

hAMRoaster: a tool for comparing performance of AMR gene detection software

Applied Bioinformatics and Public Health Microbiology: challenges, discoveries and innovations during a pandemic

hAMRonization: Enhancing antimicrobial resistance prediction using the PHA4GE AMR detection specification and tooling


Creative Commons Attribution 4.0 International

A repository for the BCIO ontology

Representation of behaviour change interventions and their evaluation: Development of the Upper Level of the Behaviour Change Intervention Ontology

The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1

Specifying who delivers behaviour change interventions: development of an Intervention Source Ontology

Specifying how intervention content is communicated: Development of a Style of Delivery Ontology


A C++ Algorithmic Differentiation Package: Home Page

The SCIP Optimization Suite 8.0

Global optimization of mixed-integer nonlinear programs with SCIP 8

Ungar x2013 A C++ Framework for Real-Time Optimal Control Using Template Metaprogramming

Computing eigenfrequency sensitivities near exceptional points


Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education

A Survey of Knowledge Tracing: Models, Variants, and Applications

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education

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

Survey of Computerized Adaptive Testing: A Machine Learning Perspective

EduNLP: Towards a Unified and Modularized Library for Educational
  Resources

Attentive Q-Matrix Learning for Knowledge Tracing

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions


Landscape Metrics for Categorical Map Patterns  in R


A lightweight header-only library for using Keras (TensorFlow) models in C++.

Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

Deeply learning deep inelastic scattering kinematics

A JIT Compiler for Neural Network Inference

Unweighting multijet event generation using factorisation-aware neural networks

A Framework for Semi-Automatic Precision and Accuracy Analysis for Fast and Rigorous Deep Learning

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter

Error-correcting neural networks for semi-Lagrangian advection in the level-set method

Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-set Method

Assessment of machine learning methods for state-to-state approaches


Imaging, analysis, and simulation software for radio interferometry

First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole

First M87 Event Horizon Telescope Results. VII. Polarization of the Ring

Black Hole Spin Signature in the Black Hole Shadow of M87 in the Flaring State

HIGH-RESOLUTION LINEAR POLARIMETRIC IMAGING FOR THE EVENT HORIZON TELESCOPE

Interferometric Imaging Directly with Closure Phases and Closure Amplitudes

The Size, Shape, and Scattering of Sagittarius A* at 86 GHz: First VLBI with ALMA

Event Horizon Telescope observations of the jet launching and collimation in Centaurus A

Geometric modeling of M87* as a Kerr black hole or a non-Kerr compact object

Dynamical Imaging with Interferometry

Simulations of imaging the event horizon of Sagittarius A* from space


Accurate microsatellite genotypes from high-throughput resequencing data

Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

ZDHHC3 as a Risk and Mortality Marker for Breast Cancer in African American Women

Abundance of ethnically biased microsatellites in human gene regions


Compact Data Structures Library

Log(Graph): A Near-Optimal High-Performance Graph Representation

A Framework of Dynamic Data Structures for String Processing

Grammar compressed sequences with rank/select support

String Processing and Information Retrieval

Parallel construction of wavelet trees on multicore architectures

Aggregated 2D range queries on clustered points

siEDM: an efficient string index and search algorithm for edit distance with moves

Using Compressed Suffix-Arrays for a compact representation of temporal-graphs

Improved Compressed String Dictionaries

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

A compact representation for trips over networks built on self-indexes

A Review of In-Memory Space-Efficient Data Structures for Temporal Graphs


The released codes for ACL 2021 paper 'BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data'

Personalized Dialogue Generation with Diversified Traits

Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation


Question Answering task using Deep Learning on SQuAD dataset

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

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

Bidirectional Attention Flow for Machine Comprehension


Dataset Batch(offline) Reinforcement Learning for recommender system

Continuous control with deep reinforcement learning

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Off-Policy Deep Reinforcement Learning without Exploration

Top-K Off-Policy Correction for a REINFORCE Recommender System

Deep Reinforcement Learning for List-wise Recommendations


CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

A Mixture of Surprises for Unsupervised Reinforcement Learning

Behavior Contrastive Learning for Unsupervised Skill Discovery

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning


pytorch implementation of the different DeepGaze models

Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet

DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling

DeepGaze III: Modeling free-viewing human scanpaths with deep learning

Training on Foveated Images Improves Robustness to Adversarial Attacks


[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation


Bundle Recommendation with Graph Convolutional Networks

Bundle Recommendation and Generation With Graph Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Economic Recommender Systems -- A Systematic Review

Accurate bundle matching and generation via multitask learning with partially shared parameters


⇔  Calculate distance matrix from ChewBBACA cgMLST allele call tables

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS

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

Comparative Genomic Analyses of Escherichia coli from a Meat Processing Environment in Relation to Their Biofilm Formation and Persistence

Within-Host Genetic Variation in Neisseria gonorrhoeae over the Course of Infection

Genomic insights into the diversity, virulence, and antimicrobial resistance of group B Streptococcus clinical isolates from Saudi Arabia

Frontiers in cellular and infection microbiology


OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

PandaGPT: One Model To Instruction-Follow Them All

Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics

Understanding and Patching Compositional Reasoning in LLMs


BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Proving Test Set Contamination in Black Box Language Models

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank
  Modifications

Universal Self-Adaptive Prompting

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

Calibrating Reasoning in Language Models with Internal Consistency


Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

Meeting of the Association for Computational Linguistics

CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction

Findings of the Association for Computational Linguistics: ACL 2022

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers

Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors


Fast and Versatile Alignments for Python

Faster Smith-Waterman database searches with inter-sequence SIMD parallelisation

FOGSAA: Fast Optimal Global Sequence Alignment Algorithm

Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi

Are all global alignment algorithms and implementations correct?


A Python3-base pipeline for translated circular RNA(circRNA) identification

Circular RNAs in human cancer

circRNAs Signature as Potential Diagnostic and Prognostic Biomarker for Diabetes Mellitus and Related Cardiovascular Complications

CircCode: A Powerful Tool for Identifying circRNA Coding Ability

Disease-Associated Circular RNAs: From Biology to Computational Identification

Pervasive translation of small open reading frames in plant long non-coding RNAs

Advances in peptides encoded by non-coding RNAs: A cargo in exosome


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

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Uncertainty in Gradient Boosting via Ensembles

Bayesian Optimisation over Multiple Continuous and Categorical Inputs

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

On the Importance of Strong Baselines in Bayesian Deep Learning

Single Shot MC Dropout Approximation

Radial and Directional Posteriors for Bayesian Neural Networks


Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

A Frustratingly Easy Approach for Entity and Relation Extraction

A General Framework for Information Extraction using Dynamic Span Graphs

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

Autoregressive Structured Prediction with Language Models

A Multi-Gate Encoder for Joint Entity and Relation Extraction

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)


Cell clustering for spatial transcriptomics data with graph neural network

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Deep Learning in Single-Cell Analysis

A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal


DeLighT: Very Deep and Light-Weight Transformers

DeLighT: Deep and Light-weight Transformer

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

EIT: Enhanced Interactive Transformer


ECCV2020 paper: Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. Code and Data.

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Convolutional Image Captioning

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates


Large Scale Fine-Grained Categorization  and Domain-Specific Transfer Learning. CVPR 2018

Squeeze-and-Excitation Networks

Rethinking the Hyperparameters for Fine-tuning

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information


pytorch and cifar10

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data

IEEE Transactions on Parallel and Distributed Systems

TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators


A Network Integration Approach for Drug-Target Interaction Prediction

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning

Graph Convolutional Embeddings for Recommender Systems

A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA viruses

An Integrative Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing


[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

GFNet: Global Filter Networks for Visual Recognition

IEEE transactions on pattern analysis and machine intelligence

SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer


Create timecourse "fish plots" that show changes in the clonal architecture of tumors

Visualizing tumor evolution with the fishplot package for R

The clonal evolution of metastatic colorectal cancer

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Longitudinal therapy monitoring of ALK-positive lung cancer by combined copy number and targeted mutation profiling of cell-free DNA

Characterization of SARS-CoV-2 viral diversity within and across hosts

A Journey Through Myeloma Evolution: From the Normal Plasma Cell to Disease Complexity

Genomic and evolutionary portraits of disease relapse in acute myeloid leukemia

Loss of COP9 signalosome genes at 2q37 is associated with IMiD resistance in multiple myeloma

Lorlatinib and compound mutations in ALK+ large-cell neuroendocrine lung carcinoma: a case report

Modeling the consequences of heterogeneity in microbial population dynamics


Implementations of heuristics for the Max-cut and QUBO problems in C++

Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization

Multi-Purchase Behavior: Modeling and Optimization

A Simple Iterative Algorithm for Maxcut

FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing

Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines


An automated pipeline for processing DamID sequencing datasets

A KDM5–Prospero transcriptional axis functions during early neurodevelopment to regulate mushroom body formation

The LINC Complex Inhibits Excessive Chromatin Repression

NuRD‐independent Mi‐2 activity represses ectopic gene expression during neuronal maturation

Tissue-specific DamID protocol using nanopore sequencing

Sedentary Behavior Impacts on the Epigenome and Transcriptome: Lessons from Muscle Inactivation in Drosophila Larvae


Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Representation Learning for Dynamic Graphs: A Survey

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Dynamic Network Embedding Survey

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network


Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods

Leveraging Locality in Abstractive Text Summarization

Discourse-Aware Soft Prompting for Text Generation

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

Scientific document processing: challenges for modern learning methods

International journal on digital libraries

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers


View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks


Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Faithful Chain-of-Thought Reasoning

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Learning Reasoning Strategies in End-to-End Differentiable Proving

Measuring Systematic Generalization in Neural Proof Generation with Transformers

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Calibrating Large Language Models with Sample Consistency

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs

Differentiable Reasoning over Long Stories -- Assessing Systematic Generalisation in Neural Models

LoFiT: Localized Fine-tuning on LLM Representations


Model Agnostic Counterfactual Explanations

Algorithmic Recourse: from Counterfactual Explanations to Interventions

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Optimal Counterfactual Explanations in Tree Ensembles

NICE: An Algorithm for Nearest Instance Counterfactual Explanations


[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

Contrastive Search Is What You Need For Neural Text Generation

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning


An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

BERTScore: Evaluating Text Generation with BERT

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

Proceedings of the 17th International Conference on Spoken Language Translation

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons


The PatchCamelyon (PCam) deep learning classification benchmark.

Deep neural network models for computational histopathology: A survey

Rotation Equivariant CNNs for Digital Pathology

Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases

A Benchmark of Medical Out of Distribution Detection

TIAToolbox as an end-to-end library for advanced tissue image analytics

Understanding Zero-Shot Adversarial Robustness for Large-Scale Models

Multi-modality artificial intelligence in digital pathology

Deep Learning Models for Digital Pathology

Topological Singularity Detection at Multiple Scales

Evolved Explainable Classifications for Lymph Node Metastases


MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.

FLEXIBLE AND SCALABLE METHODS FOR QUANTIFYING STOCHASTIC VARIABILITY IN THE ERA OF MASSIVE TIME-DOMAIN ASTRONOMICAL DATA SETS

Supermassive Black Holes with High Accretion Rates in Active Galactic Nuclei. VIII. Structure of the Broad-line Region and Mass of the Central Black Hole in Mrk 142

The remarkable X-ray variability of IRAS 13224–3809 – I. The variability process

Monthly notices of the Royal Astronomical Society

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. I. The Fermi-LAT Gamma-Ray Light Curves of Selected Blazars

The Astrophysical Journal Supplement Series

The Lick AGN Monitoring Project 2016: Velocity-resolved Hβ Lags in Luminous Seyfert Galaxies

Discovery of a candidate binary supermassive black hole in a periodic quasar from circumbinary accretion variability

A full characterization of the supermassive black hole in IRAS 09149–6206

A new approach for measuring power spectra and reconstructing time series in active galactic nuclei

Monthly Notices of the Royal Astronomical Society: Letters

Rapid Optical Flares in the Blazar OJ 287 on Intraday Timescales with TESS


[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

Med3D: Transfer Learning for 3D Medical Image Analysis

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking


PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Learning Gradient Fields for Shape Generation

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


Fast motif matching in R

Nervous System Regionalization Entails Axial Allocation before Neural Differentiation

TCR-independent CD137 (4-1BB) signaling promotes CD8+-exhausted T cell proliferation and terminal differentiation.

ChromVAR: Inferring transcription factor variation from single-cell epigenomic data

Single-cell chromatin accessibility of developing murine pancreas identifies cell state-specific gene regulatory programs


A suite of MiniZinc benchmarks.

Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem

Modelling and Solving Online Optimisation Problems

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

Learning Objective Boundaries for Constraint Optimization Problems


Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

No Reason for No Supervision: Improved Generalization in Supervised Models

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning


Fast Multimodal LLM on Mobile Devices

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

A Survey of Resource-efficient LLM and Multimodal Foundation Models

LLM as a System Service on Mobile Devices

Empowering 1000 tokens/second on-device LLM prefilling with mllm-NPU


Translation Error Rate (TER)

Findings of the WMT 2020 Shared Task on Quality Estimation

Findings of the WMT 2018 Shared Task on Quality Estimation

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

Findings of the WMT 2021 Shared Task on Quality Estimation

Machine Translation Quality and Post-Editor Productivity

Conference of the Association for Machine Translation in the Americas

PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

PosEdiOn: Post-Editing Assessment in PythOn

European Association for Machine Translation Conferences/Workshops

Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages

Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms

RESHAPE: Reverse-Edited Synthetic Hypotheses for Automatic Post-Editing


A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for  graph or hyper-graph partitioning.

Robust Lineage Reconstruction from High-Dimensional Single-Cell Data

Mapping the evolving landscape of super-enhancers during cell differentiation


BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Backdoor Attack through Frequency Domain

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


Code release for Learning with Opponent-Learning Awareness and variations.

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

DiCE: The Infinitely Differentiable Monte Carlo Estimator

INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80

Proximal Learning With Opponent-Learning Awareness

Normative Disagreement as a Challenge for Cooperative AI


Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).

Improving Dictionary Learning with Gated Sparse Autoencoders

Interpreting Attention Layer Outputs with Sparse Autoencoders

The Local Interaction Basis: Identifying Computationally-Relevant and
  Sparsely Interacting Features in Neural Networks


Ablating Concepts in Text-to-Image Diffusion Models  (ICCV 2023)

MACE: Mass Concept Erasure in Diffusion Models

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models


Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

A context-aware citation recommendation model with BERT and graph convolutional networks

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts

Meeting of the Association for Computational Linguistics

Towards Explainable Fact Checking

Back to the Future -- Sequential Alignment of Text Representations


multi-dimensional adaptive integration (cubature) in C

Magnon-phonon interactions in magnetic insulators

DYTurbo: fast predictions for Drell–Yan processes

Next-to-next-to-leading-order radiative corrections to e+e− → χcJ + γ at B factory

The integrated three-point correlation function of cosmic shear

Updates in SASfit for fitting analytical expressions and numerical models to small-angle scattering patterns

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo

Statistical mechanical analysis of the electromechanical coupling in an electrically-responsive polymer chain

RascalC: A Jackknife Approach to Estimating Single and Multi-Tracer
  Galaxy Covariance Matrices

A Fast and Exact w-stacking and w-projection Hybrid Algorithm for Wide-field Interferometric Imaging

Scale-fixed predictions for γ + ηc production in electron-positron collisions at NNLO in perturbative QCD


Cubic spline approximation (smoothing)

Data Reduction Using Statistical and Regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2

bletl ‐ A Python package for integrating BioLector microcultivation devices in the Design‐Build‐Test‐Learn cycle

bletl - A Python Package for Integrating Microbioreactors in the Design-Build-Test-Learn Cycle

Smoothing Splines for Discontinuous Signals


Code for phasing SVs with SNPs

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

De novo assembly of a Tibetan genome and identification of novel structural variants associated with high-altitude adaptation

Fully Phased Sequence of a Diploid Human Genome Determined de Novo from the DNA of a Single Individual


XDSME: XDS Made Easier

Design of protein-binding proteins from the target structure alone

KAMO: towards automated data processing for microcrystals

Acta crystallographica. Section D, Structural biology

Protein X-ray Crystallography and Drug Discovery

MXCuBE2: the dawn of MXCuBE Collaboration

X-ray data processing

Comparison of helical scan and standard rotation methods in single-crystal X-ray data collection strategies

A Ca2+-regulated deAMPylation switch in human and bacterial FIC proteins

Study of the DnaB:DciA interplay reveals insights into the primary mode of loading of the bacterial replicative helicase

PROXIMA-1 beamline for macromolecular crystallography measurements at Synchrotron SOLEIL

Enabling Aromatic Hydroxylation in a Cytochrome P450 Monooxygenase Enzyme through Protein Engineering


Basic functions for power analysis in R

Field metabolic rates of teleost fishes are recorded in otolith carbonate

Compensatory Breeding in Years Following Drought in a Desert-Dwelling Cooperative Breeder

New Insights into Immunological Involvement in Congenital Disorders of Glycosylation (CDG) from a People-Centric Approach

Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain

Out of the Loop, in Your Bubble: Mind Wandering Is Independent From Automation Reliability, but Influences Task Engagement

Aphids Facing Their Parasitoids: A First Look at How Chemical Signals May Make Higher Densities of the Pea Aphid Acyrthosiphon pisum Less Attractive to the Parasitoid Aphidius ervi

Evaluating noninvasive methods for estimating cestode prevalence in a wild carnivore population

Zenodo (CERN European Organization for Nuclear Research)

The Effects of Spinal Manipulation on Oculomotor Control in Children with Attention Deficit Hyperactivity Disorder: A Pilot and Feasibility Study

Performance of Remsima® Monitor Drug Level versus RIDASCREEN IFX Monitoring in therapeutic drug monitoring of infliximab in patients with inflammatory bowel disease: A study of diagnostic accuracy

Chronic 3,4-Methylenedioxymethamphetamine (MDMA) Use Is Related to Glutamate and GABA Concentrations in the Striatum But Not the Anterior Cingulate Cortex

The international journal of neuropsychopharmacology


A visual simulator for the amoebot model of programmable matter.

Bio-Inspired Energy Distribution for Programmable Matter

Fast Reconfiguration for Programmable Matter

Deadlock and Noise in Self-Organized Aggregation Without Computation

Energy-Constrained Programmable Matter Under Unfair Adversaries


Automated filling of detail in reported emission scenarios

Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research


Probabilistic Context Free Grammar (PCFG) password guess generator

Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries

Understanding Offline Password-Cracking Methods: A Large-Scale Empirical Study

Generative Deep Learning Techniques for Password Generation

SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking


Error correction for Illumina RNA-seq reads

Rcorrector: efficient and accurate error correction for Illumina RNA-seq reads

A simple guide to de novo transcriptome assembly and annotation

A resource for improved predictions of Trypanosoma and Leishmania protein three-dimensional structure

Embryonic gene transcription in the spiny mouse (Acomys cahirinus): an investigtion into the embryonic genome activation

An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny


The 'exploitable' GDB plugin

The Art, Science, and Engineering of Fuzzing: A Survey

Chaff Bugs: Deterring Attackers by Making Software Buggier

Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle

MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation.

CASR: core dump analysis and severity reporter tool

Труды Института системного программирования РАН


Open Movement devices are miniature, embeddable, open source sensors developed at Newcastle University, UK. The source code for the firmware and software is available under a BSD 2-clause license, and the hardware (PCB designs, layouts and schematics), enclosure designs and documentation are available under a Creative Commons 3.0 BY Attribution License.

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study

Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

pyActigraphy: Open-source python package for actigraphy data visualization and analysis

Deep learning-based automated speech detection as a marker of social functioning in late-life depression

Validation of Activity Tracking Procedures in Elderly Patients after Operative Treatment of Proximal Femur Fractures

Simple Method for the Objective Activity Type Assessment with Preschoolers, Children and Adolescents

GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

Inertial Kinetic Energy Harvesters for Wearables: The Benefits of Energy Harvesting at the Foot

Genome-wide association analyses of chronotype in 697,828 individuals provides new insights into circadian rhythms in humans and links to disease

Development and feasibility of a wearable infant wrist band for the objective measurement of physical activity using accelerometery


The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.

Beyond English-Centric Multilingual Machine Translation

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task

Workshop on Neural Generation and Translation

Translating Headers of Tabular Data: A Pilot Study of Schema Translation

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


Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls

An open resource for accurately benchmarking small variant and reference calls

A reference human genome dataset of the BGISEQ-500 sequencer

Benchmarking challenging small variants with linked and long reads

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis

Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease

Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

Best Practices for Benchmarking Germline Small Variant Calls in Human Genomes

Tools for annotation and comparison of structural variation


Netflux is a user-friendly software for developing dynamic computational models of biological networks. Models are created in Excel format and then simulated using the Netflux graphical interface. No computer programming is required. Netflux is written in MATLAB, with binary versions available for Windows and MacOS.

Predictive model identifies key network regulators of cardiomyocyte mechano-signaling

Network Analysis Reveals a Distinct Axis of Macrophage Activation in Response to Conflicting Inflammatory Cues

Roles of mTOR in thoracic aortopathy understood by complex intracellular signaling interactions

Multiscale model of heart growth during pregnancy: integrating mechanical and hormonal signaling

Vascular smooth muscle cell mechanotransduction through serum and glucocorticoid inducible kinase-1 promotes interleukin-6 production and macrophage accumulation in murine hypertension

Logic-based modeling of biological networks with Netflux.

bioRxiv : the preprint server for biology

Computational Screen for Sex-Specific Drug Effects in a Cardiac Fibroblast Network Model


Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Differential levels of plasma biomarkers of neurodegeneration in Lewy body dementia, Alzheimer’s disease, frontotemporal dementia and progressive supranuclear palsy

Journal of neurology, neurosurgery, and psychiatry

A Transcriptomic Analysis of Head and Neck Squamous Cell Carcinomas for Prognostic Indications

Prognostic and Therapeutic Potential of the OIP5 Network in Papillary Renal Cell Carcinoma

Oats Lower Age-Related Systemic Chronic Inflammation (iAge) in Adults at Risk for Cardiovascular Disease

Prediction of Adrenocortical Carcinoma Relapse and Prognosis with a Set of Novel Multigene Panels


Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

NGL viewer: web-based molecular graphics for large complexes

The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences

Binder 2.0 - Reproducible, interactive, sharable environments for science at scale

Proceedings of the Python in Science Conferences

3Dmol.js: molecular visualization with WebGL

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures


Julia package for formulating and analyzing stochastic recourse models.

Efficient Stochastic Programming in Julia

Dynamic cut aggregation in L-shaped algorithms


E(2)-Equivariant CNNs Library for Pytorch

Steerable CNNs

General E(2)-Equivariant Steerable CNNs

Rotation Equivariant Siamese Networks for Tracking

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Fanaroff–Riley classification of radio galaxies using group-equivariant convolutional neural networks

Monthly notices of the Royal Astronomical Society

Equivariant neural networks for inverse problems

Steerable Partial Differential Operators for Equivariant Neural Networks

A Data and Compute Efficient Design for Limited-Resources Deep Learning

Rotation-Scale Equivariant Steerable Filters

Deep Neural Networks with Efficient Guaranteed Invariances


FinancialVision

Explainable Deep Convolutional Candlestick Learner

Data Augmentation for Deep Candlestick Learner

Adversarial Robustness of Deep Convolutional Candlestick Learner


Portable WDL workflows for IDseq production pipelines

Discovering disease-causing pathogens in resource-scarce Southeast Asia using a global metagenomic pathogen monitoring system

Estimation of secondary household attack rates for emergent SARS-CoV-2 variants detected by genomic surveillance at a community-based testing site in San Francisco

medRxiv : the preprint server for health sciences

Building up a genomic surveillance platform for SARS-CoV-2 in the middle of a pandemic: a true North–South collaboration


This repo contains implementation of different architectures for emotion recognition in conversations.

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

North American Chapter of the Association for Computational Linguistics

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

Empirical Methods in Natural Language Processing

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

Conversational Transfer Learning for Emotion Recognition

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE Transactions on Affective Computing

An Iterative Emotion Interaction Network for Emotion Recognition in Conversations

International Conference on Computational Linguistics


FrEDI estimates annual physical and economic impacts from climate change to the U.S., through the 21st century


Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Geometry Score: A Method For Comparing Generative Adversarial Networks

Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics


MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Evolving Curricula with Regret-Based Environment Design

Improving Intrinsic Exploration with Language Abstractions

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Exploration via Elliptical Episodic Bonuses

Generalization to New Sequential Decision Making Tasks with In-Context Learning

Grounding Aleatoric Uncertainty for Unsupervised Environment Design

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning


Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Deep learning in electron microscopy

Machine Learning: Science and Technology

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Artificial Intelligence and Natural Language

Adversarial Machine Learning in Text Processing: A Literature Survey

The State of the Art of Natural Language Processing—A Systematic Automated Review of NLP Literature Using NLP Techniques

Adversarial Machine Learning in Text Analysis and Generation

Advances in Electron Microscopy with Deep Learning


Multilocus sequence typing by blast using the schemes from PubMLST

Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

Whole genome sequencing of ESBL-producing Escherichia coli isolated from patients, farm waste and canals in Thailand

Probiotic Potential and Safety Evaluation of Enterococcus faecalis OB14 and OB15, Isolated From Traditional Tunisian Testouri Cheese and Rigouta, Using Physiological and Genomic Analysis

Whole genome sequencing reveals high-resolution epidemiological links between clinical and environmental Klebsiella pneumoniae

Quantifying acquisition and transmission of Enterococcus faecium using genomic surveillance

Longitudinal genomic surveillance of multidrug-resistant Escherichia coli carriage in a long-term care facility in the United Kingdom

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

The Emergence of Successful Streptococcus pyogenes Lineages through Convergent Pathways of Capsule Loss and Recombination Directing High Toxin Expression

Limited contribution of non-intensive chicken farming to ESBL-producing Escherichia coli colonization in humans in Vietnam: an epidemiological and genomic analysis

The Journal of antimicrobial chemotherapy

Within-host evolution of Enterococcus faecium during longitudinal carriage and transition to bloodstream infection in immunocompromised patients


Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices

Hierarchical Catalogue Generation for Literature Review: A Benchmark


Analysis software for the NICER mission

Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-Ray Data Set

Zenodo (CERN European Organization for Nuclear Research)

NICER Discovery of Millisecond X-Ray Pulsations and an Ultracompact Orbit in IGR J17494-3030

Observations of 4U 1626–67 with the Imaging X-Ray Polarimetry Explorer

A Comprehensive X-Ray Report on AT2019wey

Proper motion, spectra, and timing of PSR J1813-1749 using Chandra and NICER

A Month of Monitoring the New Magnetar Swift J1555.2-5402 during an X-Ray Outburst

A NICER View of Spectral and Profile Evolution for Three X-Ray-emitting Millisecond Pulsars

Constraining the magnetic field geometry of the millisecond pulsar PSR J0030+0451 from joint radio, thermal X-ray and γ-ray emission

SXP 15.6 – an accreting pulsar close to spin equilibrium?

NICER Discovery that SRGA J144459.2–604207 Is an Accreting Millisecond X-Ray Pulsar


Useful tools for structural equation modeling

The Mediating Role of Organizational Learning in the Relationship of Organizational Intelligence and Organizational Agility

Osong public health and research perspectives

Validity Aspects of the Strengths and Difficulties Questionnaire (SDQ) Adolescent Self-Report and Parent-Report Versions Among Dutch Adolescents

The Chinese EPOCH Measure of Adolescent Wellbeing: Further Testing of the Psychometrics of the Measure

The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory

International journal of environmental research and public health

A novel online assessment of pragmatic and core language skills: An attempt to tease apart language domains in children

Perceived parenting and identification with all humanity: Insights from England and Germany

Health-Related Behaviors in Adolescents Mediate the Association between Subjective Social Status and Body Mass Index


Simple RISC-V 3-stage Pipeline in Chisel

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE Transactions on Information and Systems

Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism


Repository of OHDSI Collaborative Research Protocols

Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non-SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real-world meta-analysis of 4 observational databases (OBSERVE-4D)

Improving reproducibility by using high-throughput observational studies with empirical calibration

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co‐transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study

Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model

Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data

A systematic approach to improving the reliability and scale of evidence from health care data


Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling

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

Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data

bioRxiv : the preprint server for biology

Flexible and cost-effective genomic surveillance ofP. falciparummalaria with targeted nanopore sequencing

Evaluation of the Available Variant Calling Tools for Oxford Nanopore Sequencing in Breast Cancer

Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis


Multiple Scattering Theory code for first principles calculations

Ab initio approaches to high-entropy alloys: a comparison of CPA, SQS, and supercell methods

An investigation of high entropy alloy conductivity using first-principles calculations

Averaged cluster approach to including chemical short-range order in KKR-CPA

Tests on the Accuracy and Scalability of the Full-Potential DFT Method Based on Multiple Scattering Theory

First-principles residual resistivity using a locally self-consistent multiple scattering method


SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF

SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech
  Recognition Evaluation


Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

Explainable Multi-hop Verbal Reasoning Through Internal Monologue

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering

Parsing as Tagging

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

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

Meeting of the Association for Computational Linguistics

Low Resource Causal Event Detection from Biomedical Literature

Workshop on Biomedical Natural Language Processing

Towards the Necessity for Debiasing Natural Language Inference Datasets

Grounding Gradable Adjectives through Crowdsourcing

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

Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractorwith an Explanation Decoder

Proceedings of the First Workshop on Trustworthy Natural Language Processing

An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification


[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Comparison of parallel sorting algorithms

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos

Practice and Experience in Advanced Research Computing

Cornerstone: Octree Construction Algorithms for Scalable Particle Simulations

Proceedings of the Platform for Advanced Scientific Computing Conference

GPU-Accelerated Interaction-Aware Motion Prediction

An Algorithm to Parallelise Parton Showers on a GPU

Concurrent CPU-GPU Task Programming using Modern C++

A parallel priority queue with fast updates for GPU architectures

Certified SAT solving with GPU accelerated inprocessing

G-CoReCCD: a GPU-based simulator of the charge transport in fully-depleted CCDs


Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

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

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Constrained Update Projection Approach to Safe Policy Optimization

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving


This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

YaRN: Efficient Context Window Extension of Large Language Models

RULER: What's the Real Context Size of Your Long-Context Language
  Models?

Make Your LLM Fully Utilize the Context

One Thousand and One Pairs: A "novel" challenge for long-context language models

Jamba-1.5: Hybrid Transformer-Mamba Models at Scale


Ethereum Virtual Machine (EVM) Bytecode or Solidity Smart Contract static analysis tool based on symbolic execution

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Blockchain Large Language Models

Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation

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

VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow

International Symposium on Software Testing and Analysis

StateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

Simple and Effective Masked Diffusion Language Models

Amortizing intractable inference in diffusion models for vision, language, and control

Unified Discrete Diffusion for Categorical Data

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models


A Perl/R pipeline for plotting metagenes

Direct RNA sequencing enables m(6)A detection in endogenous transcript isoforms at base-specific resolution

Targeting the m 6 A RNA modification pathway blocks SARS-CoV-2 and HCoV-OC43 replication.

N6‐methyladenosine modification of CENPF mRNA facilitates gastric cancer metastasis via regulating FAK nuclear export


Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

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

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification


Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.

Type-augmented Relation Prediction in Knowledge Graphs

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks


Creative Commons Attribution Share Alike 4.0 International

FOLIO: Natural Language Reasoning with First-Order Logic

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers

Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models


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

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

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Kinematic 3D Object Detection in Monocular Video


SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits

Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health

Shared genetic architecture between periodontal disease and type 2 diabetes: a large scale genome-wide cross-trait analysis


AMR Parsing via Graph-Sequence Iterative Inference

Ensembling Graph Predictions for AMR Parsing

Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)

HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing

Referenceless Parsing-Based Evaluation of AMR-to-English Generation

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems


A fork of exonerate: a generic tool for sequence alignment

Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement

The genomic landscape of molecular responses to natural drought stress in Panicum hallii

Technology dictates algorithms: Recent developments in read alignment

The telomere-to-telomere genome of Fragaria vesca reveals the genomic evolution of Fragaria and the origin of cultivated octoploid strawberry

Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii

The genome sequence of Aloe vera reveals adaptive evolution of drought tolerance mechanisms

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

Taxus yunnanensis genome offers insights into gymnosperm phylogeny and taxol production

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery


A principled framework to estimate annotation-stratified genetic covariance using GWAS summary statistics.

SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits

Insulinopathies of the brain? Genetic overlap between somatic insulin-related and neuropsychiatric disorders

Genome-Wide Pleiotropy Study Identifies Association of PDGFB with Age-Related Macular Degeneration and COVID-19 Infection Outcomes

Analysis of common genetic variation across targets of microRNAs dysregulated both in ASD and epilepsy reveals negative correlation


This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning

AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice Conversion

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support


➡➡⬅➡ Draw gene arrow maps in ggplot2

A draft human pangenome reference

Long-Read Genome Assemblies Reveal Extraordinary Variation in the Number and Structure of MHC Loci in Birds

Tight Adherence (Tad) Pilus Genes Indicate Putative Niche Differentiation in Phytoplankton Bloom Associated Rhodobacterales

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

Clinical Molecular and Genomic Epidemiology of Morganella morganii in China

Single-cell virus sequencing of influenza infections that trigger innate immunity

A ROR2 coding variant is associated with craniofacial variation in domestic pigeons

Influenza virus transcription and progeny production are poorly correlated in single cells

A Hopeful Sea-Monster: A Very Large Homologous Recombination Event Impacting the Core Genome of the Marine Pathogen Vibrio anguillarum

Minimal and hybrid hydrogenases are active from archaea


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

On human motion prediction using recurrent neural networks

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

IEEE transactions on pattern analysis and machine intelligence

Deep Learning for Vision-based Prediction: A Survey

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention

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


Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Deep Learning with Dynamic Computation Graphs

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity

North American Chapter of the Association for Computational Linguistics


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

Learning from Noisy Labels with Deep Neural Networks: A Survey

FINE Samples for Learning with Noisy Labels

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

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

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

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


Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.


Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Wasserstein Adversarial Regularization for Learning With Label Noise

Wasserstein Adversarial Regularization (WAR) on label noise


Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

International Conference on Learning Representations

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting


Domain Generalization with MixStyle (ICLR'21)

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Domain Generalization: A Survey

Domain Generalization with MixStyle

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

MixStyle Neural Networks for Domain Generalization and Adaptation

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

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

On-Device Domain Generalization


Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research

Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes

Optimized Explicit Runge--Kutta Schemes for the Spectral Difference Method Applied to Wave Propagation Problems

A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics

A Strong Stability Preserving Analysis for Explicit Multistage Two-Derivative Time-Stepping Schemes Based on Taylor Series Conditions

Optimal Explicit Strong Stability Preserving Runge--Kutta Methods with High Linear Order and optimal Nonlinear Order

RK-Opt: A package for the design of numerical ODE solvers

NodePy: A package for the analysis of numerical ODE solvers


nway -- Bayesian cross-matching of astronomical catalogues

Finding counterparts for All-sky X-ray surveys with Nway: a Bayesian
  algorithm for cross-matching multiple catalogues

Monthly Notices of the Royal Astronomical Society

The XMM-SERVS survey: New XMM-Newton point-source catalogue for the XMM-LSS field

First constraints on the AGN X-ray luminosity function at z ∼ 6 from an eROSITA-detected quasar

The eROSITA Final Equatorial-Depth Survey (eFEDS): A multiwavelength view of WISE mid-infrared galaxies/active galactic nuclei

The ROSAT Raster survey in the north ecliptic pole field

An XMM-Newton View of the Andromeda Galaxy as Explored in a Legacy Survey (New-ANGELS). I. The X-Ray Source Catalog

The Astrophysical Journal Supplement Series

Revisiting X-Ray-bright Optically Normal Galaxies with the Chandra Source Catalog

The Chandra Source Catalog Normal Galaxy Sample


Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]

Egocentric Video-Language Pretraining

FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding Tasks

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022


A user-friendly workflow for phylogenomics

GToTree: a user-friendly workflow for phylogenomics

Single-Cell Genomics of Novel Actinobacteria With the Wood–Ljungdahl Pathway Discovered in a Serpentinizing System

Whole Genome Sequencing and Comparative Genomics of Two Nematicidal Bacillus Strains Reveals a Wide Range of Possible Virulence Factors

Applications and Considerations of GToTree: A User-Friendly Workflow for Phylogenomics

Revealing the Host-Dependent Nature of an Engineered Genetic Inverter in Concordance with Physiology

Hadza Prevotella Require Diet-derived Microbiota Accessible Carbohydrates to Persist in mice.

bioRxiv : the preprint server for biology

Miniphocaeibacter halophilus sp. nov., an ammonium-tolerant acetate-producing bacterium isolated from a biogas system

International journal of systematic and evolutionary microbiology


ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees

IEEE Transactions on Computational Imaging

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


Neural generation model for Open Information Extraction

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

CompactIE: Compact Facts in Open Information Extraction

Syntactic Multi-view Learning for Open Information Extraction

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

Open Information Extraction via Chunks


Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention

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

Robust universal neural vocoding

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

Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features

Data Augmentation for Dementia Detection in Spoken Language

Multi-level Temporal-channel Speaker Retrieval for Robust Zero-shot Voice Conversion


Detecting sites of genomic enrichment

ARID1A influences HDAC1/BRD4 activity, intrinsic proliferative capacity and breast cancer treatment response

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

PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

Abstract 1687: Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma

Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages

Transcriptomic and open chromatin atlas of high-resolution anatomical regions in the rhesus macaque brain

TAZ-CAMTA1 and YAP-TFE3 alter the TAZ/YAP transcriptome by recruiting the ATAC histone acetyltransferase complex

Release of promoter–proximal paused Pol II in response to histone deacetylase inhibition

Cardiac endothelial cells maintain open chromatin and expression of cardiomyocyte myofibrillar genes


Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Masksembles for Uncertainty Estimation

Packed-Ensembles for Efficient Uncertainty Estimation

Low-field magnetic resonance image enhancement via stochastic image quality transfer


RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Differential blood transcriptome modules predict response to corticosteroid therapy in alcoholic hepatitis

The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression


Statistics and visualization for amplicon data

Exploring the Plasticity of Diet on Gut Microbiota and Its Correlation with Gut Health

Experimental Warming Has Not Affected the Changes in Soil Organic Carbon During the Growing Season in an Alpine Meadow Ecosystem on the Qinghai–Tibet Plateau

Bacillus amyloliquefaciens alleviates the pathological injuries in mice infected with Schistosoma japonicum by modulating intestinal microbiome

Frontiers in cellular and infection microbiology

The vaginal microbial signatures of preterm birth woman

Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic