[NeurIPS 2019] Deep Leakage From Gradients

Inverting Gradients -- How easy is it to break privacy in federated learning?

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

TextHide: Tackling Data Privacy in Language Understanding Tasks

Federated Deep Learning with Bayesian Privacy

Deep Leakage from Gradients

Recover User’s Private Training Image Data by Gradient in Federated Learning


An exoplanet transit, radial velocity, astrometry, and stellar fitting software package in IDL

EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code

HD 202772A b: A Transiting Hot Jupiter around a Bright, Mildly Evolved Star in a Visual Binary Discovered by TESS

A super-Earth and a sub-Neptune orbiting the bright, quiet M3 dwarf TOI-1266

Precise Masses in the WASP-47 System

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

Transits of Known Planets Orbiting a Naked-eye Star

High-resolution detection of neutral oxygen and non-LTE effects in the atmosphere of KELT-9b

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

Monthly Notices of the Royal Astronomical Society

TOI 564 b and TOI 905 b: Grazing and Fully Transiting Hot Jupiters Discovered by TESS

A warm super-Neptune around the G-dwarf star TOI-1710 revealed with TESS, SOPHIE, and HARPS-N


Fast calculation of Patterson's D (ABBA-BABA) and the f4-ratio statistics across many populations/species

Dsuite - fast D-statistics and related admixture evidence from VCF files

Adaptive and maladaptive introgression in grapevine domestication

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

Genomic analyses provide insights into sex differentiation of tetraploid strawberry (Fragaria moupinensis)


P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

Highly accurate protein structure prediction for the human proteome

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure

PrankWeb: a web server for ligand binding site prediction and visualization

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features

P2RANK: Knowledge-Based Ligand Binding Site Prediction Using Aggregated Local Features

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Modeling Molecular Structures with Intrinsic Diffusion Models


Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention

Improving Transformers with Probabilistic Attention Keys

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval


A library for working with phylogenetic and population genetic data.

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples

Hyperdiverse archaea near life limits at the polyextreme geothermal Dallol area

Methods for automatic reference trees and multilevel phylogenetic placement

Genome-wide protein phylogenies for four African cichlid species

Gene Similarity Networks Unveil a Potential Novel Unicellular Group Closely Related to Animals from the Tara Oceans Expedition


Fitness landscape exploration sandbox for biological sequence design.

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

A primer on model-guided exploration of fitness landscapes for biological sequence design

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences


[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".

Fine-tuned CLIP Models are Efficient Video Learners


Newton and Quasi-Newton optimization with PyTorch

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input

Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy

CDOpt: A Python Package for a Class of Riemannian Optimization

Anisotropic power diagrams for polycrystal modelling: efficient
  generation of curved grains via optimal transport


When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Mixture of In-Context Prompters for Tabular PFNs


PROTEUS - The Dynamic Surface Water eXtent from Harmonized Landsat and Sentinel-2 (DSWx-HLS) Science Application Software (SAS)


simple customizable risk scores in python

Learning Optimized Risk Scores

Connecting Interpretability and Robustness in Decision Trees through Separation

MonoNet: Towards Interpretable Models by Learning Monotonic Features

FasterRisk: Fast and Accurate Interpretable Risk Scores

OPTIMIZED RISK SCORE TO PREDICT MORTALITY IN PATIENTS WITH CARDIOGENIC SHOCK IN THE CARDIAC INTENSIVE CARE UNIT

Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease

Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models


A Python package for generating concise, high-quality summaries of a probability distribution

Super-Samples from Kernel Herding

Kernel Thinning

Generalized Kernel Thinning

Positively Weighted Kernel Quadrature via Subsampling

Distribution Compression in Near-linear Time

Kernel quadrature with randomly pivoted Cholesky

Compress Then Test: Powerful Kernel Testing in Near-linear Time

Resource-Aware Collaborative Monte Carlo Localization with Distribution
  Compression


Bacterial Isolate Genome Sequence Database (BIGSdb): A platform for gene-by-gene bacterial population annotation and analysis.

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

A RESTful application programming interface for the PubMLST molecular typing and genome databases

Database : the journal of biological databases and curation

The Distribution of Campylobacter jejuni Virulence Genes in Genomes Worldwide Derived from the NCBI Pathogen Detection Database

A global Corynebacterium diphtheriae genomic framework sheds light on current diphtheria reemergence


[EMNLP 2023] Adapting Language Models to Compress Long Contexts

Adapting Language Models to Compress Contexts

Efficient Prompting Methods for Large Language Models: A Survey

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Compressed Context Memory For Online Language Model Interaction

Retaining Key Information under High Compression Ratios: Query-Guided
  Compressor for LLMs


Forest fire history analysis in R.


Direct implicit and explicit energy-conserving particle-in-cell methods for modeling of capacitively coupled plasma devices

Physical regimes of electrostatic wave-wave nonlinear interactions generated by an electron beam propagating in a background plasma

Particle-in-cell modeling of electron beam generated plasma

Rotating spokes, potential hump and modulated ionization in radio frequency magnetron discharges

Numerical thermalization in 2D PIC simulations: Practical estimates for low-temperature plasma simulations

Study of synchronous RF pulsing in dual frequency capacitively coupled plasma


Edax reversi version 4.4 and above

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Final Adaptation Reinforcement Learning for N-Player Games

Othello is Solved

Lookahead Pathology in Monte-Carlo Tree Search


Statistical comparison of multiple algorithms

MrSQM: Fast Time Series Classification with Symbolic Representations

Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution

Scalable classifier-agnostic channel selection for multivariate time series classification

Barrakuda: A Hybrid Evolutionary Algorithm for Minimum Capacitated Dominating Set Problem

Evolving Neural Networks in Reinforcement Learning by means of UMDAc

New Characterizations and Efficient Local Search for General Integer Linear Programming

Pattern recognition in data as a diagnosis tool


A community repository for benchmarking Bayesian methods

Gaussian Processes for Big Data

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Differentiable Compositional Kernel Learning for Gaussian Processes

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Gaussian Process Conditional Density Estimation

Bayesian Model Selection, the Marginal Likelihood, and Generalization

Orthogonally Decoupled Variational Gaussian Processes

Additive Gaussian Processes Revisited

Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients

Sparse Gaussian Process Regression Beyond Variational Inference.


An R package for accessing elevation data

Global field observations of tree die-off reveal hotter-drought fingerprint for Earth’s forests

A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery

Sampling related individuals within ponds biases estimates of population structure in a pond‐breeding amphibian

Auxiliary-task learning for geographic data with autoregressive embeddings

MacroSheds: A synthesis of long‐term biogeochemical, hydroclimatic, and geospatial data from small watershed ecosystem studies

The ozone climate penalty, NAAQS attainment, and health equity along the Colorado Front Range

Journal of exposure science & environmental epidemiology

Thermal stress jeopardizes carbonate production of coral reefs across the western and central Pacific Ocean

Landscape Genetic Connectivity and Evidence for Recombination in the North American Population of the White-Nose Syndrome Pathogen, Pseudogymnoascus destructans

Integrative systematic revision of a new genus of Eumolpinae (Coleoptera: Chrysomelidae) endemic to New Caledonia: Dematotrichus gen. nov. and its numerous new hairy species

Analysis of intrinsic evolutionary factors leading to microendemic distributions in New Caledonian leaf beetles


[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation

PruMUX: Augmenting Data Multiplexing with Model Compression


Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Deep Cox Mixtures for Survival Regression

Counterfactual Phenotyping with Censored Time-to-Events

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

auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data

Neural Fine-Gray: Monotonic neural networks for competing risks


A library containing analysis and theory tools for cosmological data.

Cosmology with the moving lens effect

Reconstructing Patchy Reionization with Deep Learning

Projected-field kinetic Sunyaev-Zel'dovich Cross-correlations: halo model and forecasts

Reconstructing cosmic polarization rotation with ResUNet-CMB

Prospects for kSZ2–Galaxy Cross-correlations during Reionization

High-Resolution CMB Lensing Reconstruction with Deep Learning

Lensing Reconstruction from the Cosmic Microwave Background Polarization with Machine Learning

Delensing of Cosmic Microwave Background Polarization with Machine Learning

Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks


GROWTH Target of Opportunity Marshal

Kilonova Luminosity Function Constraints Based on Zwicky Transient Facility Searches for 13 Neutron Star Merger Triggers during O3

GROWTH on S190426c: Real-time Search for a Counterpart to the Probable Neutron Star–Black Hole Merger using an Automated Difference Imaging Pipeline for DECam

GROWTH on S190510g: DECam Observation Planning and Follow-up of a Distant Binary Neutron Star Merger Candidate

Dynamic scheduling: target of opportunity observations of gravitational wave events

Monthly notices of the Royal Astronomical Society

DECam-GROWTH Search for the Faint and Distant Binary Neutron Star and Neutron Star-Black Hole Mergers in O3a


A fast, effective data attribution method for neural networks in PyTorch

TRAK: Attributing Model Behavior at Scale

Intriguing Properties of Data Attribution on Diffusion Models

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM
  Fine-tuning

A Simple and Efficient Baseline for Data Attribution on Images

Training Data Attribution via Approximate Unrolled Differentiation


Repository for the TRANSIT and TPP tools developed by the Ioerger Lab

TRANSIT - A Software Tool for Himar1 TnSeq Analysis

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes

Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression


Run encapsulated docker containers with CellProfiler in the Amazon Web Services infrastructure.

CellProfiler 3.0: Next-generation image processing for biology

Distributed-Something: scripts to leverage AWS storage and computing for distributed workflows at scale

Compressed phenotypic screens for complex multicellular models and high-content assays

bioRxiv : the preprint server for biology

Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit


Data catalog for the Microsoft Planetary Computer


Finite Element Heat and Mass Transfer Code

Barometric Pumping Through Fractured Rock: A Mechanism for Venting Deep Methane to Mars' Atmosphere


Spin dynamics and generalization to SU(N) coherent states

Langevin dynamics of generalized spins as SU(N) coherent states

Geometric integration of classical spin dynamics via a mean-field Schrödinger equation

Bond-dependent anisotropy and magnon decay in cobalt-based Kitaev triangular antiferromagnet

Field-Induced Partial Disorder in a Shastry-Sutherland Lattice

Spin wave Hamiltonian and anomalous scattering in NiPS_3

Quantum to classical crossover in generalized spin systems – the temperature-dependent spin dynamics of FeI_2

Renormalized Classical Theory of Quantum Magnets

A high-performance implementation of atomistic spin dynamics simulations on x86 CPUs

Multipolar Skyrmion Crystals in Non-Kramers Doublet Systems

Eight-color chiral spin liquid in the S=1 bilinear-biquadratic model
  with Kitaev interactions


A data package for reporting on Northeast Continental Shelf ecosystem status and trends.

Improving the IEA Approach Using Principles of Open Data Science


Utility functions for working with DICOM and BIDS neuroimaging data

Intrinsic Functional Connectivity of the Brain in Adults with a Single Cerebral Hemisphere

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

Reorganization of the Social Brain in Individuals with Only One Intact Cerebral Hemisphere

The BIDS Toolbox: A web service to manage brain imaging datasets


[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Self-supervised Graph Learning for Recommendation

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Automated Self-Supervised Learning for Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation


Computes the AST difference (aka edit script) between two Spoon Java source code abstract syntax trees

Fine-grained and accurate source code differencing

International Conference on Automated Software Engineering

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

Towards an automated approach for bug fix pattern detection

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Spork: Structured Merge for Java With Formatting Preservation

IEEE Transactions on Software Engineering


A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.


python Toolbox for the Evaluation of Soil Moisture Observations


EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing

Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution

Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks

Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting

Improving Neuroevolution Using Island Extinction and Repopulation

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search

An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution

An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution


Single-molecule localization microscopy

Nuclear pores as versatile reference standards for quantitative superresolution microscopy

Optimizing imaging speed and excitation intensity for single-molecule localization microscopy

Photoactivation of silicon rhodamines via a light-induced protonation

Identification of novel synaptonemal complex components in C. elegans

Organotypic slice culture model demonstrates inter-neuronal spreading of alpha-synuclein aggregates

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy

Skp1 proteins are structural components of the synaptonemal complex in C. elegans

Dual-color Colocalization in Single-molecule Localization Microscopy to Determine the Oligomeric State of Proteins in the Plasma Membrane


CogniCrypt_SAST: CrySL-to-Static Analysis Compiler

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild

Integration of the Static Analysis Results Interchange Format in CogniCrypt

Supporting Error Chains in Static Analysis for Precise Evaluation
  Results and Enhanced Usability


The agda-unimath library

Introduction to Homotopy Type Theory

Topological Quantum Gates in Homotopy Type Theory

The Formal Theory of Monads, Univalently

Type Theory with Explicit Universe Polymorphism

Non-wellfounded sets in homotopy type theory

Domain Theory in Constructive and Predicative Univalent Foundations


Main operatorfabric program


DeepDTA: deep drug–target binding affinity prediction

WideDTA: prediction of drug-target binding affinity

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction

ATOM3D: Tasks On Molecules in Three Dimensions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Compression strategies and space-conscious representations for deep neural networks

Applications of Deep Learning and Machine Learning in Computational Medicine

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


Dream to Control: Learning Behaviors by Latent Imagination

Model-Based Visual Planning with Self-Supervised Functional Distances

Learning Representations for Pixel-based Control: What Matters and Why?

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning


Bayesian Poisson tensor factorization

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data


The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

RotoGrad: Gradient Homogenization in Multitask Learning

Learning Multiple Dense Prediction Tasks from Partially Annotated Data

AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning

Measuring and Harnessing Transference in Multi-Task Learning

Multi-Task Learning with Multi-Task Optimization


Pulsar searching with the Fast Folding Algorithm (FFA)

Possible periodic activity in the repeating FRB 121102

Optimal periodicity searching: revisiting the fast folding algorithm for large-scale pulsar surveys

Burst properties of the highly active FRB20201124A using uGMRT

FAST Observations of an Extremely Active Episode of FRB 20201124A. IV. Spin Period Search

FAST early pulsar discoveries: Effelsberg follow-up

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

Pushchino multibeam pulsar search: I. Targeted search of weak pulsars

The MPIfR-MeerKAT Galactic Plane Survey

Search for Periodic Emission from Five Gamma-Ray Pulsars at the Frequency of 111 MHz

A discovery of two slow pulsars with FAST: “Ronin” from the globular cluster M15


Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification


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

Continual Pre-training of Language Models

Continual Training of Language Models for Few-Shot Learning

Adapting a Language Model While Preserving its General Knowledge


The associated repo for paper "Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification"

Language Models are Few-Shot Learners

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Planning with State Abstractions for Non-Markovian Task Specifications


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

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

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

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

Hybrid approach for COVID-19 detection from chest radiography

IJCI. International Journal of Computers and Information

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

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

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


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

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

Video Activity Recognition: State-of-the-Art

CNN-VWII: An Efficient Approach for Large-Scale Video Retrieval by Image Queries

A comparative study of the clinical use of motion analysis from Kinect skeleton data


Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence to Sequence Learning with Neural Networks

A Deep Reinforced Model for Abstractive Summarization

Long Short-Term Memory-Networks for Machine Reading

A Survey on Text Classification: From Shallow to Deep Learning

RRA: Recurrent Residual Attention for Sequence Learning


scScope is a deep-learning based approach for single cell RNA-seq analysis.

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning

Zenodo (CERN European Organization for Nuclear Research)

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

scRNA‐seq data analysis method to improve analysis performance

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation


Deep Unknown Intent Detection with Margin Loss

Few-Shot Named Entity Recognition: A Comprehensive Study

Example-Based Named Entity Recognition

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System

Multi-task learning to improve natural language understanding

Modeling with Recurrent Neural Networks for Open Vocabulary Slots

International Conference on Computational Linguistics

Incremental processing of noisy user utterances in the spoken language understanding task

Parallel Intent and Slot Prediction using MLB Fusion


Creative Commons Attribution Share Alike 4.0 International

A dataset of complex questions on semi-structured Wikipedia tables

Compositional Semantic Parsing on Semi-Structured Tables

Conversational question answering: a survey

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

ReAcTable: Enhancing ReAct for Table Question Answering

Natural Language Interfaces to Data

Abductive Matching in Question Answering


Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz

Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets

Insect Cyborgs: Bio-mimetic Feature Generators Improve ML Accuracy on Limited Data

Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data


NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

Neural Architecture Search Survey: A Computer Vision Perspective

NAS-FCOS: Efficient Search for Object Detection Architectures


A tensorflow reproducing of paper “Editing Text in the wild”

Synthetic Data for Text Localisation in Natural Images

Editing Text in the Wild

EnsNet: Ensconce Text in the Wild

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles


Corpus tiếng việt

PhoBERT: Pre-trained language models for Vietnamese

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

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

Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization

Investigating Monolingual and Multilingual BERT Models for Vietnamese Aspect Category Detection

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites

VSEC: Transformer-based Model for Vietnamese Spelling Correction

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

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


PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Mutually-aware Sub-Graphs Differentiable Architecture Search


World Geographical Scheme for Recording Plant Distributions (WGSRPD)

Native range estimates for red-listed vascular plants


MIMICS: A Large-Scale Data Collection for Search Clarification

Generating Clarifying Questions for Information Retrieval

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

User Engagement Prediction for Clarification in Search

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review

Enhanced Facet Generation with LLM Editing


ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Multi-task 3D building understanding with multi-modal pretraining


This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation

Modelling the interplay of metaphor and emotion through multitask learning

Empirical Methods in Natural Language Processing

Adversarial Attention Modeling for Multi-dimensional Emotion Regression

Meeting of the Association for Computational Linguistics

Learning Word Ratings for Empathy and Distress from Document-Level User Responses

Dimensional Emotion Detection from Categorical Emotion

WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations

North American Chapter of the Association for Computational Linguistics

Computational Storytelling and Emotions: A Survey


Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Poisoned classifiers are not only backdoored, they are fundamentally broken

A Mask-Based Adversarial Defense Scheme

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers


CLIR version of ColBERT

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

Relevance-guided Supervision for OpenQA with ColBERT

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Neural Approaches to Multilingual Information Retrieval

Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation


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

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

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

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

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

Machine Learning Identifies Robust Matrisome Markers and Regulatory Mechanisms in Cancer

International journal of molecular sciences

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

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

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

An Information Theoretical Multilayer Network Approach to Breast Cancer Transcriptional Regulation

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


DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

Deep learning in mental health outcome research: a scoping review

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

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


Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

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

Dynamic Routing Between Capsules


GAIA, with the full name Generic AIOps Atlas, is an overall dataset for analyzing operation problems such as anomaly detection, log analysis, fault localization, etc.

Robust Failure Diagnosis of Microservice System Through Multimodal Data

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection


TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning

Text Rendering Strategies for Pixel Language Models

Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?

Cheetah: Natural Language Generation for 517 African Languages


Poisson pseudo-likelihood regression with multiple levels of fixed effects

ppmlhdfe: Fast Poisson Estimation with High-Dimensional Fixed Effects

Verifying the existence of maximum likelihood estimates for generalized linear models


Python module for performing linear regression for data with measurement errors and intrinsic scatter

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

Black Hole Mass Scaling Relations for Early-type Galaxies. I. MBH–M*, sph and MBH–M*,gal

Black Hole Mass Scaling Relations for Spiral Galaxies. I. M-BH-M-*,(sph)

Graph-based interpretation of the molecular interstellar medium segmentation

Monthly Notices of the Royal Astronomical Society

Black Hole Mass Scaling Relations for Spiral Galaxies. II. M_
  BH-M_ *,tot and M_ BH-M_ *,disk

Revealing Hidden Substructures in the MBH–σ Diagram, and Refining the Bend in the L–σ Relation

Helium abundance in a sample of cool stars: measurements from asteroseismology

Monthly notices of the Royal Astronomical Society

An accurate measurement of the baryonic Tully-Fisher relation with heavily gas-dominated ALFALFA galaxies

A Consistent Set of Empirical Scaling Relations for Spiral Galaxies: The (vmax, MoM)–(σ0, MBH, ϕ) Relations

On the relation between mini-halos and AGN feedback in clusters of galaxies


This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Simple and Deep Graph Convolutional Networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

G-Mixup: Graph Data Augmentation for Graph Classification

Multi-hop Attention Graph Neural Networks

PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021

Sparse Graph Attention Networks

Graph-Coupled Oscillator Networks

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization


Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Query-based summarization of discussion threads


An implementation of Highway Networks in Caffe

LSTM: A Search Space Odyssey

IEEE transactions on neural networks and learning systems

Training Very Deep Networks

Highway Networks

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network


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

Identification of Salmonella for public health surveillance using whole genome sequencing

MOST: A modified MLST typing tool based on short read sequencing

LiSEQ – whole-genome sequencing of a cross-sectional survey of Listeria monocytogenes in ready-to-eat foods and human clinical cases in Europe

The Transformation of Reference Microbiology Methods and Surveillance for Salmonella With the Use of Whole Genome Sequencing in England and Wales

Evaluation of Genomic Typing Methods in the Salmonella Reference Laboratory in Public Health, England, 2012–2020

Shiga toxin-producing Escherichia coli clonal complex 32, including serotype O145:H28, in the UK and Ireland.


ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

Accurate Shapley Values for explaining tree-based models

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models

The Shapley Value of coalition of variables provides better explanations

Accurate and robust Shapley Values for explaining predictions and focusing on local important variables.


A framework for index based similarity search.

Norm-Ranging LSH for Maximum Inner Product Search

On Efficient Retrieval of Top Similarity Vectors


Functions to assess quality of spike sorting results

Does Impedance Matter When Recording Spikes With Polytrodes?

Recording site placement on planar silicon-based probes affects signal quality in acute neuronal recordings

Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes


[NeurIPS 2023] A faithful benchmark for vision-language compositionality

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations


Pan-genome wide association studies

Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary

Biofilm Formation of Listeria monocytogenes Strains Under Food Processing Environments and Pan-Genome-Wide Association Study

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016

Development of two microbial source tracking markers for detection of wastewater-associated Escherichia coli isolates

Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes

Association of Virulence, Biofilm, and Antimicrobial Resistance Genes with Specific Clonal Complex Types of Listeria monocytogenes

Increase in antioxidant capacity associated with the successful subclone of hypervirulent carbapenem-resistant Klebsiella pneumoniae ST11-KL64

Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China

Whole-Genome Comparative Analysis Reveals Association Between Salmonella Genomic Variation and Egg Production Systems

Pan-genome wide association study of Glaesserella parasuis highlights genes associated with virulence and biofilm formation


ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

The Financial Narrative Summarisation Shared Task (FNS 2020)

The Financial Narrative Summarisation Shared Task FNS 2021:FNS 2021

Transformer-based Models for Long Document Summarisation in Financial Domain

Extractive Financial Narrative Summarisation using SentenceBERT Based Clustering

Summarisation with Majority Opinion

Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

The International FLAIRS Conference Proceedings

Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space

˜The œinternational Arab journal of information technology

Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization


Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition

Attention, Learn to Solve Routing Problems!

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Policy Dynamic Programming for Vehicle Routing Problems

PILS: Exploring high-order neighborhoods by pattern mining and injection

An Iterative Sample Scenario Approach for the Dynamic Dispatch Waves Problem


Simple language-driven navigation tasks for studying compositional learning

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

Compositional generalization in a deep seq2seq model by separating syntax and semantics

Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks

The Future of Computational Linguistics: On Beyond Alchemy

What they do when in doubt: a study of inductive biases in seq2seq learners

Compositional Generalization by Factorizing Alignment and Translation

Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models

Revisit Systematic Generalization via Meaningful Learning


A Tool for integrated Quality Control and Preprocessing on FASTQ or BAM/CRAM files

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

Chromosome-scale assembly of the Dendrobium chrysotoxum genome enhances the understanding of orchid evolution

Impact of sequencing depth and technology on de novo RNA-Seq assembly

Chlorogenic Acid Alleviates Colon Mucosal Damage Induced by a High-Fat Diet via Gut Microflora Adjustment to Increase Short-Chain Fatty Acid Accumulation in Rats

Oxidative medicine and cellular longevity

Spatial control of potato tuberization by the TCP transcription factor BRANCHED1b

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

A Chromosome-Level Genome Assembly of Dendrobium Huoshanense Using Long Reads and Hi-C Data

Adipose tissue-derived neurotrophic factor 3 regulates sympathetic innervation and thermogenesis in adipose tissue

The DNA dioxygenase Tet1 regulates H3K27 modification and embryonic stem cell biology independent of its catalytic activity

Chromosome-Scale Assembly of the Dendrobium nobile Genome Provides Insights Into the Molecular Mechanism of the Biosynthesis of the Medicinal Active Ingredient of Dendrobium


code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision

Are EEG-to-Text Models Working?


An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.

Twitter Universal Dependency Parsing for African-American and Mainstream American English

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

A Systematic Study of Leveraging Subword Information for Learning Word Representations

From POS tagging to dependency parsing for biomedical event extraction

CEA LIST: Processing Low-Resource Languages for CoNLL 2018


Generative Spoken Dialogue Language Modeling

Breathing in Conversation

Towards human-like spoken dialogue generation between AI agents from written dialogue

Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale In-the-wild Laughter Corpus

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech


This is a implementation of SDNE (Structural Deep Network embedding)

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Structural Deep Network Embedding

Deep Learning on Graphs: A Survey

Network Representation Learning: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Billion-scale Network Embedding with Iterative Random Projection

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

Search Efficient Binary Network Embedding


GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

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

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

A Provable Framework of Learning Graph Embeddings via Summarization

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning


Bibliothèque C et assembleur permettant le chiffrement/déchiffrement AES-128 de messages pour des composants grand public (famille STM32F3/STM32F4)

Breaking Masked Implementations with Many Shares on 32-bit Software Platforms: or When the Security Order Does Not Matter

IACR Transactions on Cryptographic Hardware and Embedded Systems

Generic Attacks against Cryptographic Hardware through Long-Range Deep Learning

Fit the Joint Moments: How to Attack Any Masking Scheme

PROLEAD_SW


Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences

CDPAM: Contrastive learning for perceptual audio similarity

SESQA: semi-supervised learning for speech quality assessment


[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers

Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks


This contains an evolving dataset of fake and real images shared in social media.

Detection and visualization of misleading content on Twitter

International Journal of Multimedia Information Retrieval

Disinformation, Misinformation, and Fake News in Social Media

Combating disinformation in a social media age

Visual and Textual Analysis for Image Trustworthiness Assessment within Online News

Misleading Metadata Detection on YouTube

A unified approach of detecting misleading images via tracing its instances on web and analyzing its past context for the verification of multimedia content

VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies


A toolkit for tracking energy, carbon, and compute metrics for machine learning (or any other) experiments.

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

The Ecological Footprint of Neural Machine Translation Systems

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Understanding the Energy Consumption of HPC Scale Artificial Intelligence


A unified tokenization tool for Images, Chinese and English.

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

FlashVideo: A Framework for Swift Inference in Text-to-Video Generation


NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling

FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications

Accelerating Weather Prediction Using Near-Memory Reconfigurable Fabric

ACM Transactions on Reconfigurable Technology and Systems

Platform Independent Software Analysis for Near Memory Computing

Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Designing, Modeling, and Optimizing Data-Intensive Computing Systems

Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering


An open source dataset for source separation

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Neural Target Speech Extraction: An Overview

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech

L-SpEx: Localized Target Speaker Extraction

Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn’s Algorithm

International Conference on Acoustics, Speech, and Signal Processing

Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation

DASB -- Discrete Audio and Speech Benchmark

SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech


Code release for ActionFormer (ECCV 2022)

ActionFormer: Localizing Moments of Actions with Transformers

UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization

Proceedings of the 31st ACM International Conference on Multimedia

Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge

NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023

FineBio: A Fine-Grained Video Dataset of Biological Experiments with
  Hierarchical Annotation

SnAG: Scalable and Accurate Video Grounding


SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation  Webpage:https://jiawangbian.github.io/sc_depth_pl/

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Unsupervised Scale-Consistent Depth Learning from Video

Auto-Rectify Network for Unsupervised Indoor Depth Estimation

SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes


Another Domain Adaptation library, aimed at researchers.

Domain-Adversarial Training of Neural Networks

Wasserstein Distance Guided Representation Learning for Domain Adaptation

ADAPT : Awesome Domain Adaptation Python Toolbox

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

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


Available documentation and binaries

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

MOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

International journal of environmental research and public health

HARE: Supporting efficient uplink multi-hop communications in self-organizing LPWANs

Battery draining attacks against edge computing nodes in IoT networks

A Versatile Out-of-Band Software-Defined Networking Solution for the Internet of Things

Collision-Free Advertisement Scheduling for IEEE 802.15.4-TSCH Networks

Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions

Design of an Electrically Small, Planar Quasi-Isotropic Antenna for Enhancement of Wireless Link Reliability under NLOS Channels

Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing

Seamless roaming and guaranteed communication using a synchronized single-hop multi-gateway 802.15.4e TSCH network


Open Data Science

Chained Gaussian Processes

Data Readiness Levels

Probabilistic selection of inducing points in sparse Gaussian processes

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data


CartAGen is a plugin for GeOxygene dedicated to cartographic generalisation

Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

ISPRS International Journal of Geo-Information

CartAGen: an Open Source Research Platform for Map Generalization

Semi-automatic development of thematic tactile maps

Cartography and Geographic Information Science


Smart charging algorithms with REST API for electric vehicle fleets


Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data

Genomic aberrations after short-term exposure to colibactin-producing E. coli transform primary colon epithelial cells

Global chromosome rearrangement induced by CRISPR-Cas9 reshapes the genome and transcriptome of human cells

Somatic Mutational Landscape in Mexican Patients: CDH1 Mutations and chr20q13.33 Amplifications Are Associated with Diffuse-Type Gastric Adenocarcinoma

International journal of molecular sciences

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq


The PheWAS R package

Genetics of blood lipids among similar to 300,000 multi-ethnic participants of the Million Veteran Program

Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Genomics and phenomics of body mass index reveals a complex disease network

Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects

GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer

T38. CHARACTERIZING THE PHENOTYPIC AND GENETIC STRUCTURE OF PSYCHOPATHOLOGY IN UK BIOBANK

medRxiv : the preprint server for health sciences

MR-PheWAS for the causal effects of serum magnesium on multiple disease outcomes in Caucasian descent

Medication history-wide association studies for pharmacovigilance of pregnant patients

Genome‑wide association study and polygenic risk scores predict psoriasis and its shared phenotypes in Taiwan


DEPICT code, instructions and an example

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

A molecular census of arcuate hypothalamus and median eminence cell types

Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

A joint view on genetic variants for adiposity differentiates subtypes with distinct metabolic implications

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease


Train and Infer Powerful Sentence Embeddings with AnglE |  SOTA on STS and MTEB Leaderboard

AnglE-optimized Text Embeddings

2D Matryoshka Sentence Embeddings

BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings


Airborne Optical Sectioning

An autonomous drone for search and rescue in forests using airborne optical sectioning

Search and rescue with airborne optical sectioning

Synthetic Aperture Imaging With Drones

Airborne Optical Sectioning for Nesting Observation

Thermal Airborne Optical Sectioning

Combined Person Classification with Airborne Optical Sectioning

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

IEEE Geoscience and Remote Sensing Letters

Drone swarm strategy for the detection and tracking of occluded targets in complex environments

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Through-Foliage Tracking with Airborne Optical Sectioning


Extreme weather detection and characterization

TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids

TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets

Assessing sensitivities in algorithmic detection of tropical cyclones in climate data

GenCast: Diffusion-based ensemble forecasting for medium-range weather

Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1

TempestExtremes v1.0: A Framework for Scale-Insensitive
Pointwise Feature Tracking on Unstructured Grids

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM)

Journal of Advances in Modeling Earth Systems

A Comparative Study Between Regional Atmospheric Model Simulations Coupled and Uncoupled to a Regional Ocean Model of the Indian Summer Monsoon

Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps


Particle-in-cell code for plasma physics simulations

Nonlinear Electromagnetic-wave Interactions in Pair Plasma. I. Nonrelativistic Regime

Enhanced collisionless laser absorption in strongly magnetized plasmas

On the electromagnetic-electron rings originating from the interaction of high-power short-pulse laser and underdense plasma

Zenodo (CERN European Organization for Nuclear Research)

Benchmarking magnetized three-wave coupling for laser backscattering: Analytic solutions and kinetic simulations


A collection of tools for generating, manipulating and - most of all - solving parity games.

Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games

The Fixpoint-Iteration Algorithm for Parity Games

An Exponential Lower Bound for Zadeh's pivot rule

Visibly Linear Dynamic Logic

Hyper Temporal Networks

Reduced Dependency Spaces for Existential Parameterised Boolean Equation Systems

Faster O(|V|^2|E|W)-Time Energy Algorithms for Optimal Strategy Synthesis in Mean Payoff Games

Generic Model Checking for Modal Fixpoint Logics in COOL-MC

VLDL Satisfiability and Model Checking via Tree Automata


Tools for dealing with APOGEE data

ON GALACTIC DENSITY MODELING IN THE PRESENCE OF DUST EXTINCTION

The age–metallicity structure of the Milky Way disc using APOGEE

Monthly Notices of the Royal Astronomical Society

THE CHEMICAL HOMOGENEITY OF OPEN CLUSTERS

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

The 3D Kinematics of the Orion Nebula Cluster: NIRSPEC-AO Radial Velocities of the Core Population

Searching for the extra-tidal stars of globular clusters using high-dimensional analysis and a core particle spray code

The peculiar globular cluster Palomar 1 and persistence in the SDSS-APOGEE data base

Testing the chemical homogeneity of chemically tagged dissolved birth clusters

Carbon-enhanced metal-poor stars in the SDSS–APOGEE data base

Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra: Application to Chemical Homogeneity in the Open Cluster M67


ERMIA: Memory-Optimized OLTP engine for Heterogeneous Workloads (SIGMOD 2016)

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Efficiently making (almost) any concurrency control mechanism serializable

An analysis of concurrency control protocols for in-memory databases with CCBench

CoroBase: Coroutine-Oriented Main-Memory Database Engine


Fast N-body gravitational force and potential in Python

A model for the formation of stellar associations and clusters from giant molecular clouds

Monthly notices of the Royal Astronomical Society

Evolution of giant molecular clouds across cosmic time

Pressure balance in the multiphase ISM of cosmologically simulated disc galaxies

Morphological decomposition of TNG50 galaxies: methodology and catalogue

A two-phase model of galaxy formation: I. The growth of galaxies and supermassive black holes

Connection between galaxy morphology and dark-matter halo structure I: a
  running threshold for thin discs and size predictors from the dark sector

LMGC90: a Contact Dynamics open source code for the simulation of granular asteroid with realistic regolith shapes. Application to the accretion process


MMSA is a unified framework for Multimodal Sentiment Analysis.

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality

Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

M-SENA: An Integrated Platform for Multimodal Sentiment Analysis

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis

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

On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis

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

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation


Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities

Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies

Two distinct trajectories of clinical and neurodegeneration events in Parkinson’s disease

Clustering Interval-Censored Time-Series for Disease Phenotyping

Transferability of Alzheimer's disease progression subtypes to an independent population cohort

Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning

Distinct spatiotemporal patterns of cortical thinning in Alzheimer’s disease-type cognitive impairment and subcortical vascular cognitive impairment

Uncovering distinct progression patterns of tau deposition in progressive supranuclear palsy using [18F]Florzolotau PET imaging and subtype/stage inference algorithm


Interfacing RDKit and AutoDock

A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU

Journal of computer-aided molecular design

In silico and in vitro studies of potential inhibitors against Dengue viral protein NS5 Methyl Transferase from Ginseng and Notoginseng

Journal of traditional and complementary medicine

Pharmacophore Modeling Using Machine Learning for Screening the Blood–Brain Barrier Permeation of Xenobiotics

Performance evaluation of flexible macrocycle docking in AutoDock

Synthesis of Pyrrolo[3,4-b]pyridin-5-ones via Ugi–Zhu Reaction and In Vitro–In Silico Studies against Breast Carcinoma

In Silico Analysis of the Structural Dynamics and Substrate Recognition Determinants of the Human Mitochondrial Carnitine/Acylcarnitine SLC25A20 Transporter

Natural 2′,4-Dihydroxy-4′,6′-dimethoxy Chalcone Isolated from Chromolaena tacotana Inhibits Breast Cancer Cell Growth through Autophagy and Mitochondrial Apoptosis

Targeting MDM2-p53 Axis Through Drug Repurposing for Cancer Therapy: a Multidisciplinary Approach


MacSyFinder - Detection of macromolecular systems in protein datasets using systems modelling and similarity search.

Identification of protein secretion systems in bacterial genomes

MacSyFinder: A Program to Mine Genomes for Molecular Systems with an Application to CRISPR-Cas Systems

The interplay of restriction-modification systems with mobile genetic elements and their prokaryotic hosts

Integrative and conjugative elements and their hosts: composition, distribution and organization

Core Defense Hotspots withinPseudomonas aeruginosaare a consistent and rich source of anti-phage defense systems

Comprehensive genome data analysis establishes a triple whammy of carbapenemases, ICEs and multiple clinically relevant bacteria

Prevalence and Population Diversity of Listeria monocytogenes Isolated from Dairy Cattle Farms in the Cantabria Region of Spain

Animals : an open access journal from MDPI

ICEs Are the Main Reservoirs of the Ciprofloxacin-Modifying crpP Gene in Pseudomonas aeruginosa

A bioinformatic approach to identify confirmed and probable CRISPR–Cas systems in the Acinetobacter calcoaceticus–Acinetobacter baumannii complex genomes


Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

The extent and drivers of gender imbalance in neuroscience reference lists

Predicting Race and Ethnicity From the Sequence of Characters in a Name

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

New at Cell Press: The Inclusion and Diversity Statement

The Citation Diversity Statement: A Practice of Transparency, A Way of Life

Gendered Citation Practices in the Field of Communication

Annals of the International Communication Association

(In)citing Action to Realize an Equitable Future

Models of communication and control for brain networks: distinctions, convergence, and future outlook

Gender bias in (neuro)science: Facts, consequences, and solutions

Purpose in Life, Loneliness, and Protective Health Behaviors During the COVID-19 Pandemic


Guided pattern mining for API misuse detection by change-based code analysis

From source code to test cases: A comprehensive benchmark for resource leak detection in Android apps

An Experimental Analysis of Graph-Distance Algorithms for Comparing API Usages

An Investigation into Misuse of Java Security APIs by Large Language Models

Automated Change Rule Inference for Distance-Based API Misuse Detection


[Tool] For Knowledge Graph Representation Learning

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning


Framework for indexing and querying ocean-sea ice model output.

Surface heating steers planetary-scale ocean circulation


Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Attention Is All You Need

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Going Deeper with Convolutions

Densely Connected Convolutional Networks

SSD: Single Shot MultiBox Detector


Antares-Simulator is an Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.


Error correction for Oxford Nanopore data

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

A comparative evaluation of hybrid error correction methods for error-prone long reads

Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies

Characterization, correction and de novo assembly of an Oxford Nanopore genomic dataset from Agrobacterium tumefaciens

NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm


Weight Agnostic Neural Networks

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction


The QMNIST dataset

Cold Case: The Lost MNIST Digits

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Performing arithmetic using a neural network trained on images of digit permutation pairs

Journal of Intelligent Information Systems


Programs to identify link communities in complex networks

Overlapping Community Detection in Networks: the State of the Art and Comparative Study

Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach

Overlapping Community Discovery Methods: A Survey

Detecting Overlapping Communities from Local Spectral Subspaces

Benchmarking community detection methods on social media data

Overlapping Community Detection via Local Spectral Clustering


Pytorch implementation of GRU-ODE-Bayes

GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

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

Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering

Neural Ordinary Differential Equations for Intervention Modeling

Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm

Endocrinology and metabolism (Seoul, Korea)


Tensorflow Implementation of Adversarial Attack to Capsule Networks

Adversarial examples in the physical world

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks

An Evasion Attack against Stacked Capsule Autoencoder

Towards robust stacked capsule autoencoder with hybrid adversarial training


Validate FastQ Files

Isolation and Characterization of Human Intestinal Bacteria Cytobacillus oceanisediminis NB2 for Probiotic Potential

Comparative genomic analysis of monosporidial and monoteliosporic cultures for unraveling the complexity of molecular pathogenesis of Tilletia indica pathogen of wheat

Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples

Biofertilizer and biocontrol properties of Stenotrophomonas maltophilia BCM emphasize its potential application for sustainable agriculture

Computational host range prediction—The good, the bad, and the ugly


Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

Wav2CLIP: Learning Robust Audio Representations From CLIP

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

How to Listen? Rethinking Visual Sound Localization


PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.


Light version of Network Dissection for Quantifying Interpretability of Networks

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Interpreting Deep Visual Representations via Network Dissection

Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability

Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces

Visual Concept Connectome (VCC): Open World Concept Discovery and their
  Interlayer Connections in Deep Models


Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

Focused Quantization for Sparse CNNs

Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning


Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

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

Temporal Ensembling for Semi-Supervised Learning

Averaging Weights Leads to Wider Optima and Better Generalization

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average


Documentation for the Dogecoin <-> Ethereum bridge.

Atomic Crosschain Transactions for Ethereum Private Sidechains

Survey of crosschain communications protocols

General Purpose Atomic Crosschain Transactions

Retrofitting a two-way peg between blockchains


HYDrodynamics and RADiation Code for computing solutions to field-aligned hydrodynamic equations in coronal loops

Interrogating solar flare loop models with IRIS observations 1: Overview of the models, and mass flows

Geometric Assumptions in Hydrodynamic Modeling of Coronal and Flaring Loops

Delayed Development of Cool Plasmas in X-ray Flares from kappa1 Ceti

Understanding the Duration of Solar and Stellar Flares at Various Wavelengths

Tracking X-Ray Source Movement in a Retracting Flux Tube

Mass Flows in Expanding Coronal Loops


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

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics


TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression

DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps

SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series


[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

Safety of Multimodal Large Language Models on Images and Text

Explainable Multimodal Emotion Reasoning

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


Implementation of the multiple sequential markovian coalescent

Stairway Plot 2: demographic history inference with folded SNP frequency spectra

Iron Age and Anglo-Saxon genomes from East England reveal British migration history

MSMC and MSMC2: The Multiple Sequentially Markovian Coalescent.

Genomic Consequences of Long-Term Population Decline in Brown Eared Pheasant

Intra-species differences in population size shape life history and genome evolution

Limits and Convergence properties of the Sequentially Markovian Coalescent

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

Protocol to analyze population structure and migration history based on human genome variation data


Neural Graph Collaborative Filtering, SIGIR2019

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

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

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

Proceedings of the 17th ACM Conference on Recommender Systems

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing


LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Speaker Recognition from Raw Waveform with SincNet

LEAF: A Learnable Frontend for Audio Classification

Learning Filterbanks from Raw Speech for Phone Recognition


methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories

TOGA: A Neural Method for Test Oracle Generation

Proceedings of the 44th International Conference on Software Engineering

Unit Test Case Generation with Transformers and Focal Context

Methods2Test

Proceedings of the 19th International Conference on Mining Software Repositories


ACL'2020: Biomedical Entity Representations with Synonym Marginalization

Self-Alignment Pretraining for Biomedical Entity Representations

BERN2: an advanced neural biomedical named entity recognition and normalization tool

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer

RuCCoN: Clinical Concept Normalization in Russian

Findings of the Association for Computational Linguistics: ACL 2022

BELB: a Biomedical Entity Linking Benchmark

Scalable Few-Shot Learning of Robust Biomedical Name Representations

Workshop on Biomedical Natural Language Processing


[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking

Generalizing over Long Tail Concepts for Medical Term Normalization

Improving Biomedical Entity Linking with Cross-Entity Interaction

Proceedings of the AAAI Conference on Artificial Intelligence

Entity Linking over Nested Named Entities for Russian

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data

Multi-modal Graph Learning over UMLS Knowledge Graphs


Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

Deep Generalized Max Pooling

Real-Time Person Re-identification at the Edge: A Mixed Precision Approach


A Survey of Knowledge-enhanced Text Generation

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

Enhancing Dialogue Generation with Conversational Concept Flows

Findings of the Association for Computational Linguistics: EACL 2023

Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora


Probabilistic Random Forest: A machine learning algorithm for noisy datasets

Probabilistic Random Forest: A Machine Learning Algorithm for Noisy Data Sets

Machine Learning in Astronomy: a practical overview

The probabilistic random forest applied to the selection of quasar candidates in the QUBRICS survey

Monthly Notices of the Royal Astronomical Society

UOCS - III. UVIT catalogue of open clusters with machine learning-based membership using Gaia EDR3 astrometry

A new automated tool for the spectral classification of OB stars

Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosis

Applied Machine-Learning Models to Identify Spectral Sub-Types of M Dwarfs from Photometric Surveys

Publications of the Astronomical Society of the Pacific


Creative Commons Attribution 4.0 International

Pre-trained Nordic models for BERT

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition

Transactions of the Association for Computational Linguistics

Pre-training Polish Transformer-based Language Models at Scale

DaNE: A Named Entity Resource for Danish

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

Large-Scale Contextualised Language Modelling for Norwegian

DaN+: Danish Nested Named Entities and Lexical Normalization

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation

The Danish Gigaword Project

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media

UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models


Public repo for Augmented Multiscale Deep InfoMax representation learning

Bootstrap your own latent: A new approach to self-supervised Learning

Learning Representations by Maximizing Mutual Information Across Views

Data-Efficient Image Recognition with Contrastive Predictive Coding

Revisiting Self-Supervised Visual Representation Learning

Fast AutoAugment

Neural Methods for Point-wise Dependency Estimation


Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

A General-Purpose Self-Supervised Model for Computational Pathology

Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT


A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)

New physics in light of the H_0 tension: an alternative view

Tale of stable interacting dark energy, observational signatures, and the H0 tension

Journal of Cosmology and Astroparticle Physics

Interacting dark energy with time varying equation of state and the H-0 tension

Observational constraints on one-parameter dynamical dark-energy parametrizations and the H0 tension

No Evidence for Extensions to the Standard Cosmological Model.

Update on coupled dark energy and the H0 tension

General cosmography model with spatial curvature

Monthly notices of the Royal Astronomical Society

Dark Energy with Phantom Crossing and the H0 Tension

Observational constraints on sign-changeable interaction models and alleviation of the H-0 tension

Early modified gravity in light of the H0 tension and LSS data


Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

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

Flexible Diffusion Modeling of Long Videos

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

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

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video
  Generation

On the Content Bias in Fréchet Video Distance


This repository contains several sets of many-body codes developed by Morten Hjorth-Jensen and collaborators. The codes follow the GNU  GPL v.3 public license settings.

Ground and excited states of doubly open-shell nuclei from ab initio valence-space Hamiltonians

Doubly magic nuclei from lattice QCD forces at M PS = 469 MeV / c 2

Realistic calculations for c-coefficients of the isobaric mass multiplet equation in 1 p 0 f shell nuclei

NuHamil : A numerical code to generate nuclear two- and three-body matrix elements from chiral effective field theory

Generalized seniority on a deformed single-particle basis

Application of the variational principle to a coherent-pair condensate: The BCS case

Recent Applications of Self-Consistent Green’s Function Theory to Nuclei

133In: A Rosetta Stone for decays of r-process nuclei

Computer code for applying the variational principle to a coherent-pair condensate: The BCS case


Deconvolution of calcium imaging data

Fast online deconvolution of calcium imaging data

Fast Nonconvex Deconvolution of Calcium Imaging Data

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons

Prefrontal cortical regulation of REM sleep

Synthesising Realistic Calcium Traces of Neuronal Populations Using GAN


KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

A review on outlier/anomaly detection in time series data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

Neural Contextual Anomaly Detection for Time Series

Do deep neural networks contribute to multivariate time series anomaly detection?

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

Hybrid Anomaly Detection via Multihead Dynamic Graph Attention Networks for Multivariate Time Series


The most accurate natural language detection library for Python, suitable for short text and mixed-language text

WildChat: 1M ChatGPT Interaction Logs in the Wild

CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data

Zero-shot Bilingual App Reviews Mining with Large Language Models

The Parliamentary Code-Switching Corpus: Bilingualism in the Ukrainian Parliament in the 1990s-2020s

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

ALaRM: Align Language Models via Hierarchical Rewards Modeling

An Empirical Study on Developers Shared Conversations with ChatGPT in
  GitHub Pull Requests and Issues

GUing: A Mobile GUI Search Engine using a Vision-Language Model


This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Efficient GNN Explanation via Learning Removal-based Attribution


A command-line toolkit to extract text content and category data from Wikipedia dump files

Learning to Distinguish Hypernyms and Co-Hyponyms

International Conference on Computational Linguistics

A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations

Meeting of the Association for Computational Linguistics

Analyzing Semantic Change in Japanese Loanwords

Conference of the European Chapter of the Association for Computational Linguistics

Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?

UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation

North American Chapter of the Association for Computational Linguistics

Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs

Conference on Computational Natural Language Learning

Evaluating Sub-word Embeddings in Cross-lingual Models

Analysis of Japanese Word Sense Disambiguation through Kana-Kanji Conversion

Effective Augmentation of Creativity-Involving Productivity Consequent to Spontaneous Selectivity in Knowledge Acquisition


TREC CAsT 2019: The Conversational Assistance Track Overview

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Contextualized Query Embeddings for Conversational Search

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search

Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

Conference on Human Information Interaction and Retrieval

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Conversational Entity Linking: Problem Definition and Datasets

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

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

From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track


Linear Assignmment Problem solver using Jonker-Volgenant algorithm - Python 3 native module.

OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE

Comparing temporal graphs using dynamic time warping

Exploring the Deep Feature Space of a Cell Classification Neural Network


Solar/Satellite Geolocation for Animal Tracking

The retrospective analysis of Antarctic tracking data project

Unravelling migration connectivity reveals unsustainable hunting of the declining ortolan bunting

Long term movements and activity patterns of an Antarctic marine apex predator: The leopard seal

Migration tracking reveals geographic variation in the vulnerability of a Nearctic-Neotropical migrant bird


Fast, efficient RNA-Seq metrics for quality control and process optimization

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Transcript expression-aware annotation improves rare variant interpretation

PRMD: an integrated database for plant RNA modifications

RNA-SeQC 2: efficient RNA-seq quality control and quantification for large cohorts

Longitudinal characterization of circulating neutrophils uncovers phenotypes associated with severity in hospitalized COVID-19 patients

Neutrophil profiles of pediatric COVID-19 and multisystem inflammatory syndrome in children

caAtlas: An immunopeptidome atlas of human cancer

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

A comprehensive atlas of fetal splicing patterns in the brain of adult myotonic dystrophy type 1 patients

Nimodipine Exerts Beneficial Effects on the Rat Oligodendrocyte Cell Line OLN-93


NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

Neural Vocoder is All You Need for Speech Super-resolution

Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution

Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction


AmpliconArchitect (AA) is a tool to identify one or more connected genomic regions which have simultaneous copy number amplification and elucidates the architecture of the amplicon.   In the current version, AA takes as input next generation sequencing reads (paired-end Illumina reads) mapped to the hg19/GRCh37 reference sequence and one or more regions of interest. Please "watch" this repository for improvements in runtime, accuracy and annotations for GRCh38 human reference genome coming up soon.

Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers

Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma

The landscape of extrachromosomal circular DNA in medulloblastoma

Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction


SenseAct: A computational framework for developing real-world robot learning tasks

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Setting up a Reinforcement Learning Task with a Real-World Robot

A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues


Yet Another (natural language) Parser

Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew

What's Wrong with Hebrew NLP? And How to Make it Right

A Truly Joint Neural Architecture for Segmentation and Parsing


Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations

Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery

Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra

Between the tides: Modelling the elevation of Australia's exposed intertidal zone at continental scale

Geomorphic insights into Australia's coastal change using a national dataset derived from the multi-decadal Landsat archive


Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en

Recent advances and applications of deep learning methods in materials science

Atomistic Line Graph Neural Network for improved materials property predictions

Designing high-TC superconductors with BCS-inspired screening, density functional theory, and deep-learning

Graph neural network predictions of metal organic framework CO2 adsorption properties

Unified graph neural network force-field for the periodic table: solid state applications

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions

Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design

Systematic assessment of various universal machine-learning interatomic
  potentials

A snapshot review on soft materials assembly design utilizing machine learning methods


Neural networks for microbe-metabolite interaction analysis

An overview of gradient descent optimization algorithms

Вестник компьютерных и информационных технологий

Learning representations of microbe–metabolite interactions

Gastrointestinal Surgery for Inflammatory Bowel Disease Persistently Lowers Microbiome and Metabolome Diversity

What We Know So Far about the Metabolite-Mediated Microbiota-Intestinal Immunity Dialogue and How to Hear the Sound of This Crosstalk

Three-Dimensional Molecular Cartography of the Caribbean Reef-Building Coral Orbicella faveolata

Microbe-Metabolite Associations Linked to the Rebounding Murine Gut Microbiome Postcolonization with Vancomycin-Resistant Enterococcus faecium

Co-occurrence network analysis reveals the alterations of the skin microbiome and metabolome in adults with mild to moderate atopic dermatitis


A repository for maintaing the fave-align and fave-extract toolkits

A Web Application for Automated Dialect Analysis

Boomer Peak or Gen X Cliff? From SVS to LBMS in Georgia English

Predicting TED Talk Ratings from Language and Prosody

Dialect levelling and Cockney diphthong shift reversal in South East England: the case of the Debden Estate

goose-fronting in Received Pronunciation across time: A trend study