MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.

Synthesis of Logical Clifford Operators via Symplectic Geometry

International Symposium on Information Theory

Logical Clifford Synthesis for Stabilizer Codes

IEEE transactions on quantum engineering

Kerdock Codes Determine Unitary 2-Designs

Classical Coding Approaches to Quantum Applications


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

Mean Field Multi-Agent Reinforcement Learning

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors


(Intended) Nationally Determined Contributions as provided in the UNFCCC registries, containing only the main document and using the English version if multiple are available.


Privacy-preserving Voice Analysis via Disentangled Representations

Configurable Privacy-Preserving Automatic Speech Recognition

Paralinguistic Privacy Protection at the Edge

A Tandem Framework Balancing Privacy and Security for Voice User Interfaces.


Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension

A Compare-Aggregate Model for Matching Text Sequences

Towards a Robust Deep Neural Network in Texts: A Survey

Comparing Attention-based Convolutional and Recurrent Neural Networks:
  Success and Limitations in Machine Reading Comprehension


Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Interdisciplinary Fairness in Imbalanced Research Proposal Topic
  Inference: A Hierarchical Transformer-based Method with Selective
  Interpolation


Fitting SEDs of binary stars.

UOCS. IV. Discovery of diverse hot companions to blue stragglers in the old open cluster King 2

UOCS-IX. AstroSat/UVIT Study of the Open Cluster NGC 2818: Blue Stragglers, Yellow Stragglers, Planetary Nebula, and their Membership

Characterization of hot populations of Melotte 66 open cluster using Swift/UVOT

Monthly notices of the Royal Astronomical Society

UVIT Open Cluster Study. X. Rich Collection of Post Mass Transfer
  Systems in NGC 6791


Code release for  Universal Domain Adaptation(CVPR 2019)

Universal Source-Free Domain Adaptation

On the Effectiveness of Image Rotation for Open Set Domain Adaptation

Benchmarking Domain Adaptation Methods on Aerial Datasets


A Neural-Network-Based Convex Regularizer for Inverse Problems

Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

Scalable Bayesian uncertainty quantification with data-driven priors for
  radio interferometric imaging


Code to accompany "Reversing unknown quantum transformations: A universal protocol for inverting general unitary operations"

Probabilistic exact universal quantum circuits for transforming unitary operations

Universal construction of decoders from encoding black boxes


Query Resolution for Conversational Search with Limited Supervision

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

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

Query Performance Prediction: From Ad-hoc to Conversational Search

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


UniTE: Unified Translation Evaluation

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

Extrinsic Evaluation of Machine Translation Metrics

Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation


Single Cell RNA Intron-Exon counting

Deep learning enables genetic analysis of the human thoracic aorta

Clinico-histopathologic and single-nuclei RNA-sequencing insights into cardiac injury and microthrombi in critical COVID-19

SnRNA sequencing defines signaling by RBC-derived extracellular vesicles in the murine heart


All-In-One Adam Optimizer where several novelties are combined

Decoupled Weight Decay Regularization

Online Learning Rate Adaptation with Hypergradient Descent

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks


Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge

Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs


Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

Maximizing Mutual Information for Tacotron


Calculating carbon emissions in R


DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

Double/debiased machine learning for treatment and structural parameters

DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

International Conference on Performance Engineering


Contour binning code

Locating the CSM Emission within the Type Ia Supernova Remnant N103B

Deep Chandra observations of merging galaxy cluster ZwCl 2341+0000

A three-component giant radio halo: The puzzling case of the galaxy cluster Abell 2142


Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation

Interference Suppression Using Deep Learning: Current Approaches and Open Challenges


The official repository of the Eesen project

EESEN: End-to-End Speech Recognition using Deep RNN Models and
  WFST-based Decoding

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Improving LSTM-CTC based ASR performance in domains with limited training data


First version of the code - last update Dec 2015

MadDM v.3.0: A comprehensive tool for dark matter studies

SkyFACT: high-dimensional modeling of gamma-ray emission with adaptive templates and penalized likelihoods

Journal of Cosmology and Astroparticle Physics

Features in cosmic-ray lepton data unveil the properties of nearby cosmic accelerators

Implications of current nuclear cross sections on secondary cosmic rays with the upcoming DRAGON2 code

Bayesian analysis of the break in DAMPE lepton spectra

Constraining the halo size from possible density profiles of hydrogen gas of Milky Way Galaxy

A simple and natural interpretations of the DAMPE cosmic-ray electron/positron spectrum within two sigma deviations

Late decaying 2-component dark matter scenario as an explanation of the AMS-02 positron excess

Diffusive origin for the cosmic-ray spectral hardening reveals signatures of a nearby source in the leptons and protons data

Positron excess from cosmic ray interactions in galactic molecular clouds


Python 3 support for the MS COCO caption evaluation tools

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences


Code Repository for the EMCL-PKDD 2021 "Multitask Recalibrated Aggregation Network for Medical Code Prediction)

Multitask Balanced and Recalibrated Network for Medical Code Prediction

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: APPLIED DATA SCIENCE TRACK, PT IV

A Unified Review of Deep Learning for Automated Medical Coding


Analysis pipeline for HST/WFC3 spectroscopic observations of exoplanet transits and eclipses

A population study of hot Jupiter atmospheres

Water vapour in the atmosphere of the habitable-zone eight-Earth-mass planet K2-18 b

DETECTION OF AN ATMOSPHERE AROUND THE SUPER-EARTH 55 CANCRI E

A NEW APPROACH TO ANALYZING HST SPATIAL SCANS: THE TRANSMISSION SPECTRUM OF HD 209458 b

ARES I: WASP-76 b, A Tale of Two HST Spectra

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

Characterising the Hot Jupiters WASP-127 b, WASP-79 b and WASP-62 b with HST

Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b

ARES. V. No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b

On The Compatibility of Ground-based and Space-based Data: WASP-96 b, An Example


Curated List of papers on Time Series Analysis

Deep learning for time series classification: a review

Transfer Learning for Financial Time Series Forecasting

Pacific Rim International Conference on Artificial Intelligence

Multi-source transfer learning of time series in cyclical manufacturing

Generative Adversarial Networks for Failure Prediction

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder

Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop


Paper list of federated learning: About system design

Federated Machine Learning: Concept and Applications

Practical Secure Aggregation for Privacy-Preserving Machine Learning

Spark SQL

SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

SOSP - PipeDream: generalized pipeline parallelism for DNN training

Symposium on Operating Systems Principles

A Survey on Distributed Machine Learning

A generic communication scheduler for distributed DNN training acceleration

A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

TiFL: A Tier-based Federated Learning System

CHET: an optimizing compiler for fully-homomorphic neural-network inferencing

Programming Language Design and Implementation

FDML: A Collaborative Machine Learning Framework for Distributed Features


End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework


Do we really need to catch them all? A new User-guided Social Media Crawling method

Quantifiable Interactivity of Malicious URLs and the Social Media Ecosystem

Attacking strategies and temporal analysis involving Facebook discussion groups

Conference on Network and Service Management


Smart RFI removal algorithms to be used on folded pulsar search and timing data

Discovery of a radio-emitting neutron star with an ultra-long spin period of 76 s

Five new real-time detections of fast radio bursts with UTMOST

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing

Monthly Notices of the Royal Astronomical Society

MKT J170456.2-482100: the first transient discovered by MeerKAT

Radio and X-ray observations of giant pulses from XTE J1810-197

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

The GMRT High Resolution Southern Sky Survey for Pulsars and Transients. III. Searching for Long-period Pulsars

MeerTRAP: 12 Galactic fast transients detected in a real-time, commensal MeerKAT survey

CHIME Discovery of a Binary Pulsar with a Massive Nondegenerate Companion


Tools for analysis of climate model data

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

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

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

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

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

Journal of geophysical research. Atmospheres

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


The Python toolkit for computing with string diagrams.

Quantum Natural Language Processing on Near-Term Quantum Computers

DisCoPy: Monoidal Categories in Python

lambeq: An Efficient High-Level Python Library for Quantum NLP

A gentle introduction to Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing

Categorical Tools for Natural Language Processing


Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

Nanophotonic particle simulation and inverse design using artificial neural networks

Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network


Highly accurate protein structure prediction with AlphaFold

ColabFold - Making protein folding accessible to all

SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2

Modeling Alternate Conformations with Alphafold2 via Modification of the Multiple Sequence Alignment


The Payne: Self-consistent ab initio Fitting of Stellar Spectra

Non-LTE chemical abundances in Galactic open and globular clusters

MINESweeper: Spectrophotometric Modeling of Stars in the Gaia Era

TYC 2990-127-1: An Algol-type SB2 binary system of subgiant and red giant with a probable ongoing mass-transfer


A paper list of the papers on ridesharing

Optimization for dynamic ride-sharing: A review

European journal of operational research

Ridesharing: The state-of-the-art and future directions

Transportation research. Part B: methodological/Transportation research. Part B, Methodological

Route Planning in Transportation Networks

Dynamic pickup and delivery problems

Vehicle Routing

Society for Industrial and Applied Mathematics eBooks

T-share: A large-scale dynamic taxi ridesharing service

International Conference on Data Engineering

Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

IEEE transactions on visualization and computer graphics

50th Anniversary Invited Article—City Logistics: Challenges and Opportunities

Traffic prediction in a bike-sharing system

Advances in Geographic Information Systems

Real-Time City-Scale Taxi Ridesharing

IEEE transactions on knowledge and data engineering


QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS

Product Quantization for Nearest Neighbor Search

IEEE transactions on pattern analysis and machine intelligence

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

The Inverted Multi-Index

Accelerated Nearest Neighbor Search with Quick ADC

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR'17)

Quicker ADC : Unlocking the Hidden Potential of Product Quantization With SIMD


An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts

Ularcirc: visualization and enhanced analysis of circular RNAs via back and canonical forward splicing

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

International journal of molecular sciences

Ularcirc: Visualisation and enhanced analysis of circular RNAs via back and canonical forward splicing


This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

Graph-based Semi-supervised Learning: A Comprehensive Review

Scalable Graph Embeddings via Sparse Transpose Proximities

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

Adaptive Network Automata Modelling of Complex Networks

Network representation learning systematic review: ancestors and current development state

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


2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Multi-Scale Dense Networks for Resource Efficient Image Classification

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference


Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)

Using Explanations to Guide Models


Continual Learning for Visual Search with Backward Consistent Feature Embedding, CVPR 2022 https://openaccess.thecvf.com/content/CVPR2022/papers/Wan_Continual_Learning_for_Visual_Search_With_Backward_Consistent_Feature_Embedding_CVPR_2022_paper.pdf

Learning without Forgetting

Towards Backward-Compatible Representation Learning

On the Exploration of Incremental Learning for Fine-grained Image Retrieval


Artificial Bee Colony algorithm for Python

Binary artificial bee colony optimization

A modified scout bee for artificial bee colony algorithm and its performance on optimization problems

Journal of King Saud University: Computer and Information Sciences

Polygonal Approximation Using an Artificial Bee Colony Algorithm


[ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains

Learning Task Informed Abstractions

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


A data web service, lightning talk.

Histopathologic and Myogenic Gene Expression Changes Associated with Wooden Breast in Broiler Breast Muscles

Epidemiology of East Coast fever (Theileria parva infection) in Kenya: past, present and the future

Tribology of selective laser melting processed parts: Stainless steel 316 L under lubricated conditions

A Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist–Motorist Crashes in the Copenhagen Region

Traffic injury prevention (Online)/Traffic injury prevention

Bone morphogenetic proteins regulate enteric gliogenesis by modulating ErbB3 signaling

Preliminary Comparison of Properties between Ni-electroplated Stainless Steel Parts Fabricated with Laser Additive Manufacturing and Conventional Machining☆

Primate and feline lentiviruses in current intrinsic immunity research: The cat is back

Veterinary immunology and immunopathology

Characterization of stress response involved in chicken myopathy

Population genetic structure of Theileria parva field isolates from indigenous cattle populations of Uganda.

Investigating the reasons behind the intention to report cycling crashes to the police and hospitals in Denmark

Transportation research. Part F, Traffic psychology and behaviour


CCLasso: Correlation Inference for Compositional Data through Lasso

CCLasso: correlation inference for compositional data through Lasso

Robust covariance estimation for high‐dimensional compositional data with application to microbial communities analysis

Modeling Microbial Community Networks: Methods and Tools

SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data


Plasma waves and instabilities analysis tool, with both kinetic and multi-fluid dispersion relations.

PDRK: A General Kinetic Dispersion Relation Solver for Magnetized Plasma

等离子体科学和技术(英文版)

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization
  Calculations


DeepVel

DeepVel: deep learning for the estimation of horizontal velocities at the solar surface

Inferring Plasma Flows at Granular and Supergranular Scales With a New Architecture for the DeepVel Neural Network

Frontiers in astronomy and space sciences

The Importance of Horizontal Poynting Flux in the Solar Photosphere

Machine learning in solar physics


Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises


Simple codes and lines to process 3C/Hi-C data

A low Smc flux avoids collisions and facilitates chromosome organization in Bacillus subtilis

A joint-ParB interface promotes Smc DNA recruitment

Fine-tuning of the Smc flux facilitates chromosome organization in B. subtilis


[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Self-Supervised Graph Co-Training for Session-based Recommendation


Particular object retrieval with integral max-pooling of CNN activations

Aggregating Deep Convolutional Features for Image Retrieval

Deep Image Retrieval: Learning global representations for image search


Plasma Dispersion Relation Solver , Kinetic Version

BO: A unified tool for plasma waves and instabilities analysis

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization
  Calculations


Deep Learning for Domain Name System

UMUDGA - University of Murcia Domain Generation Algorithm Dataset

DNS Tunneling Queries for Binary Classification

DGA domain detection and botnet prevention using Q-learning for POMDP

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki


Automatic code generation of Fast Multipole and Barnes-Hut operators

Simple recursive implementation of fast multipole method

Journal of magnetism and magnetic materials

The fast multipole method and point dipole moment polarizable force fields

Efficient Open-Source Implementations of Linear-Scaling Polarizable Embedding: Use Octrees to Save the Trees

Journal of chemical theory and computation

fmmgen: Automatic Code Generation of Operators for Cartesian Fast Multipole and Barnes-Hut Methods


A graph-inspired data structure for determining likely chains of sequences from breadcrumbs of evidence

On the complexity of haplotyping a microbial community

Probabilistic recovery of cryptic haplotypes from metagenomic data

Advances in the recovery of haplotypes from the metagenome


A project for artificially undersampling MR (Magnetic Resonance) Images, using various Cartesian and Radial sampling patterns. Modules from project can also be used for generating under-sampling patterns, that can be used with the scanner

Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge

ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data

DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI


Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Cross-domain Few-shot Learning with Task-specific Adapters

DETA: Denoised Task Adaptation for Few-Shot Learning


The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

Cross-Market Product Recommendation

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

Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder
  Representations from Transformer


Detects air particulate matter (PM - pm1, pm2.5, pm10) concentrations and sends data to an MQTT server. An alternative firmware for ESP8266 devices like the NodeMCU board written for Arduino IDE and PlatformIO


Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

A Simple Framework for Contrastive Learning of Visual Representations

Large Batch Training of Convolutional Networks

Mini-Batch Optimization of Contrastive Loss


Tensorflow Code for Conditional Variational AutoEncoder

Auto-Encoding Variational Bayes

Semi-Supervised Learning with Deep Generative Models

Tutorial on Variational Autoencoders


A small program that glues together other programs allowing a user to input a codon alignment in FASTA format and produce an annotated phylogenetic tree showing which substitutions occurred on a given branch. Originally written for colleagues at the MRC NIMR.

Detection and Phylogenetic Analysis of Porcine Deltacoronavirus in Korean Swine Farms, 2015

Divergent evolutionary trajectories of influenza B viruses underlie their contemporaneous epidemic activity

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

Somatic evolution and global expansion of an ancient transmissible cancer lineage

Respiratory syncytial, parainfluenza and influenza virus infection in young children with acute lower respiratory infection in rural Gambia

Antigenic and molecular characterization of low pathogenic avian influenza A(H9N2) viruses in sub-Saharan Africa from 2017 through 2019

Spatiotemporal Associations and Molecular Evolution of Highly Pathogenic Avian Influenza A H7N9 Virus in China from 2017 to 2021

Molecular epidemiology of influenza A(H1N1)PDM09 hemagglutinin gene circulating in São Paulo State , Brazil: 2016 anticipated influenza season

Revista do Instituto de Medicina Tropical de São Paulo

Temporal and Gene Reassortment Analysis of Influenza C Virus Outbreaks in Hong Kong, SAR, China

Genetic Characterization of Highly Pathogenic Avian Influenza A(H5N8) Virus in Pakistani Live Bird Markets Reveals Rapid Diversification of Clade 2.3.4.4b Viruses

Diversity in the Circulation of Influenza A(H3N2) Viruses in the Northern Hemisphere in the 2018–19 Season


Computes a consensus sequence with wobbles, ambiguous bases, and in-frame insertions, from a NGS read alignment.

The Inhaled Steroid Ciclesonide Blocks SARS-CoV-2 RNA Replication by Targeting the Viral Replication-Transcription Complex in Cultured Cells

Genomic Epidemiology of the SARS-CoV-2 Epidemic in Cyprus from November 2020 to October 2021: The Passage of Waves of Alpha and Delta Variants of Concern

Characterization of HIV-1 diversity in various compartments at the time of primary infection by ultradeep sequencing


Keras library for building (Universal) Transformers, facilitating BERT and GPT models

Attention Is All You Need

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

Universal Transformers

Mutual Information Scaling and Expressive Power of Sequence Models

Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling


accepted at ICCV 2021

Iterative label cleaning for transductive and semi-supervised few-shot learning

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

Adaptive manifold for imbalanced transductive few-shot learning


Library for generating images by sampling a GMM conditioned on label maps

A Learning Strategy for Contrast-agnostic MRI Segmentation

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

Medical Image Computing and Computer-Assisted Intervention

Unsupervised Data Imputation via Variational Inference of Deep Subspaces


Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

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


Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

A Neural Algorithm of Artistic Style

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

Controlling Perceptual Factors in Neural Style Transfer


FairBatch: Batch Selection for Model Fairness (ICLR 2021)

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing

FairGrad: Fairness Aware Gradient Descent


使用Keras2的聊天机器人

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence to Sequence Learning with Neural Networks

Neural Responding Machine for Short-Text Conversation


Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Gradient Surgery for Multi-Task Learning

SpeechNet: A Universal Modularized Model for Speech Processing Tasks


A repo for knowledge tracing implementation by PyTorch

Deep Knowledge Tracing

A Self-Attentive model for Knowledge Tracing

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory


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

Deep Learning in Single-Cell Analysis

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


Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019

Policy Learning for Fairness in Ranking

Algorithmic fairness datasets: the story so far

Fairness for Robust Learning to Rank

A Pre-processing Method for Fairness in Ranking

Random Isn't Always Fair: Candidate Set Imbalance and Exposure
  Inequality in Recommender Systems


My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

Anxiety Symptoms Associated With the Severity of Problematic Smartphone Use: The Mediating Role of COVID-19 Anxiety

Majallah-i ravānpizishkī va ravānshināsī-i bālīnī-i Īran

Alzheimer's Dementia Detection from Audio and Text Modalities

Phonetic convergence in the shadowing for natural and synthesized speech in Polish


Code for the paper "Symbiotic Adversarial Learning for Attribute-based Person Search", ECCV2020

Deep Residual Learning for Image Recognition

Improving Person Re-identification by Attribute and Identity Learning

ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer


Hierarchical Self-Play

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement
  Learning

Explore and Control with Adversarial Surprise


Efficient MATLAB routines for quantum tomography

Superfast maximum likelihood reconstruction for quantum tomography

Objective compressive quantum process tomography

Universal compressive tomography in the time-frequency domain

Efficient Bayesian credible-region certification for quantum-state tomography

Quantum tomography benchmarking

Modern compressive tomography for quantum information science


Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method

Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm


Relational Reflection Entity Alignment

Relational Reflection Entity Alignment

International Conference on Information and Knowledge Management

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

Knowledge graph embedding methods for entity alignment: experimental review

Dependency-aware Self-training for Entity Alignment

Guiding Neural Entity Alignment with Compatibility


Difference-of-Entropies (DoE) Estimator

On Variational Bounds of Mutual Information

Formal Limitations on the Measurement of Mutual Information

Self-supervised Representation Learning with Relative Predictive Coding

A Differential Entropy Estimator for Training Neural Networks

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach


Reproducing the Image Super-Resolution via Iterative Refinement paper.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Generative Modeling by Estimating Gradients of the Data Distribution


Desktop application for colouring/shading sequence alignments

Skd3 (human ClpB) is a potent mitochondrial protein disaggregase that is inactivated by 3-methylglutaconic aciduria-linked mutations

Somatostatin-type and allatostatin-C–type neuropeptides are paralogous and have opposing myoregulatory roles in an echinoderm

Dosage differences in 12-OXOPHYTODIENOATE REDUCTASE genes modulate wheat root growth

Functional characterization of Cinnamate 4-hydroxylase gene family in soybean (Glycine max)

Dnj1 Promotes Virulence in Cryptococcus neoformans by Maintaining Robust Endoplasmic Reticulum Homeostasis Under Temperature Stress

Structural basis of lipid head group entry to the Kennedy pathway by FLVCR1

bioRxiv : the preprint server for biology


(wip) Use LAION-AI's CLIP "conditoned prior" to generate CLIP image embeds from CLIP text embeds.

Hierarchical Text-Conditional Image Generation with CLIP Latents

PRedItOR: Text Guided Image Editing with Diffusion Prior

Controlled and Conditional Text to Image Generation with Diffusion Prior


The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)

How Powerful are Graph Neural Networks?

Agent-based Graph Neural Networks

Asynchronous Neural Networks for Learning in Graphs


Python scripts for matching output of Pacific Biosciences IsoSeq RNA-seq pipeline to an annotation file.

Plant 24-nt reproductive phasiRNAs from intramolecular duplex mRNAs in diverse monocots

Combining next-generation sequencing and single-molecule sequencing to explore brown plant hopper responses to contrasting genotypes of japonica rice

PacBio single molecule long-read sequencing provides insight into the complexity and diversity of the Pinctada fucata martensii transcriptome

SMRT sequencing analysis reveals the full-length transcripts and alternative splicing patterns in Ananas comosus var. bracteatus

Genetic and Epigenetic Changes Are Rapid Responses of the Genome to the Newly Synthesized Autotetraploid Carassius auratus


Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

Rethinking Neural Operations for Diverse Tasks

Approximate Neural Architecture Search via Operation Distribution Learning

Delve into the Performance Degradation of Differentiable Architecture Search


Dataset for medical question summarization introduced in the ACL 2019 paper "On the Summarization of Consumer Health Questions" (A. Ben Abacha & D. Demner-Fushman)

Biomedical Question Answering: A Survey of Approaches and Challenges

Meeting of the Association for Computational Linguistics

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

Medical Question Summarization with Entity-driven Contrastive Learning

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


Collection of papers on text mining for materials science

Unsupervised word embeddings capture latent knowledge from materials science literature

Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

Text-mined dataset of inorganic materials synthesis recipes

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

Journal of chemical information and modeling

Virtual screening of inorganic materials synthesis parameters with deep learning

Machine-learned and codified synthesis parameters of oxide materials

An open experimental database for exploring inorganic materials

Automated Extraction of Chemical Synthesis Actions from Experimental Procedures

Semi-supervised machine-learning classification of materials synthesis procedures

Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction


Supervised Contrastive Learning

SimCSE: Simple Contrastive Learning of Sentence Embeddings

SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations


PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"

Node Dependent Local Smoothing for Scalable Graph Learning

Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited

Approximate Graph Propagation


Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Complex Functional Maps: A Conformal Link Between Tangent Bundles


Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Learning interaction rules from multi-animal trajectories via augmented behavioral models

Rhino: Deep Causal Temporal Relationship Learning With History-dependent
  Noise


A simple tool for extracting reads from Oxford Nanopore fast5 files

Completing bacterial genome assemblies with multiplex MinION sequencing

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

Rapid Diagnosis of Lower Respiratory Infection using Nanopore-based Clinical Metagenomics

Exploration of antibiotic resistance risks in a veterinary teaching hospital with Oxford Nanopore long read sequencing


The repository for our open online course "Research on Corporate Transparency"

The financial reporting environment: Review of the recent literature

The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research

Disclosure Processing Costs, Investors’ Information Choice, and Equity Market Outcomes: A Review

Creating Legitimacy for Sustainability Assurance Practices: Evidence from Sustainability Restatements

Non-GAAP Earnings Disclosure in Loss Firms

The marketization of a social movement: Activists, shareholders and CSR disclosure

The Pitch: Managers’ Disclosure Choice During IPO Roadshows

The Accounting review/The accounting review

Public Tax Disclosures and Investor Perceptions

On the Determinants and Effects of Corporate Tax Transparency: Review of an Emerging Literature


Strongest attack against Feature Scatter and Adversarial Interpolation

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

Boosting Adversarial Training with Hypersphere Embedding

Adversarial Distributional Training for Robust Deep Learning

Improving Adversarial Robustness via Guided Complement Entropy


Unsupervised Anomaly Localization using Variational Auto-Encoders

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436

Fisher and Kernel Fisher Discriminant Analysis: Tutorial

Chronic Kidney Disease as a Cardiovascular Disorder—Tonometry Data Analyses

International journal of environmental research and public health

CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study


Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.

Generative Adversarial Imitation Learning

Dynamics-Aware Unsupervised Discovery of Skills


(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Communication-Efficient Learning of Deep Networks from Decentralized Data

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Connecting Low-Loss Subspace for Personalized Federated Learning

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


MS Word template for styling a manuscript for a bioRxiv submission

Dynamic and adaptive cancer stem cell population admixture in colorectal neoplasia

A comprehensive fitness landscape model reveals the evolutionary history and future evolvability of eukaryotic cis-regulatory DNA sequences

A phage nucleus-associated RNA-binding protein is required for jumbo phage infection


Collection of censorship blockpages as collected by various sources

ICLab: A Global, Longitudinal Internet Censorship Measurement Platform

Measuring and mitigating AS-level adversaries against Tor

Towards an Autonomous System Monitor for Mitigating Correlation Attacks in the Tor Network.


This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"

Pruning Filters for Efficient ConvNets

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures


Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

SpectralNet: Spectral Clustering using Deep Neural Networks

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Generalized Clustering by Learning to Optimize Expected Normalized Cuts


[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

TransMorph: Transformer for unsupervised medical image registration

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation


A neural net trained over a person's personal photo collection to do face detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

Learning Face Representation from Scratch

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

The Unintended Consequences of Overfitting: Training Data Inference Attacks.


PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

SuperPoint: Self-Supervised Interest Point Detection and Description

SuperGlue: Learning Feature Matching with Graph Neural Networks

Robust Alignment of Multi-Exposed Images With Saturated Regions

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization

Combining Feature Correspondence With Parametric Chamfer Alignment: Hybrid Two-Stage Registration for Ultra-Widefield Retinal Images

IEEE transactions on bio-medical engineering/IEEE transactions on biomedical engineering

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction

Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping—A Benchmark Study


In this  repository  using the sparse training, group channel pruning and  knowledge distilling for  YOLOV4,

Distilling the Knowledge in a Neural Network

Learning Efficient Convolutional Networks through Network Slimming

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Group channel pruning and spatial attention distilling for object detection


A repository for some code about music generating neural networks

LSTM Based Music Generation System

International advanced research journal in science, engineering and technology

Generating Music using an LSTM Network

Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach


A PyTorch implementation of the Variational approach for PU learning

A Variational Approach for Learning from Positive and Unlabeled Data

Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation


Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Generative Adversarial Imitation from Observation

A Ranking Game for Imitation Learning

LobsDICE: Offline Learning from Observation via Stationary Distribution
  Correction Estimation

Imitation learning by state-only distribution matching


Matlab code of Bayesian CP Factorization for Tensor Completion

A dual framework for low-rank tensor completion

Dictionary Learning with Low-rank Coding Coefficients for Tensor
  Completion

Regularized and Smooth Double Core Tensor Factorization for
  Heterogeneous Data

Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion


Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.

A Hardware-in-the-Loop Water Distribution Testbed Dataset for Cyber-Physical Security Testing

Timing-Based Anomaly Detection in SCADA Networks

Process Control Cyber-Attacks and Labelled Datasets on S7Comm Critical Infrastructure

Cybersecurity Research and Training for Power Distribution Grids -- A Blueprint

Conference on Computer and Communications Security

Intrusion Detection for Sequence-Based Attacks with Reduced Traffic Models

Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen


[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

Few-shot Image Generation with Mixup-based Distance Learning

Smoothing the Generative Latent Space with Mixup-based Distance Learning


PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

PASS: An ImageNet replacement for self-supervised pretraining without humans

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

InsCLR: Improving Instance Retrieval with Self-Supervision


resample and coadd FITS images to an arbitrary astrometric projection

ShapePipe: a new shape measurement pipeline and weak-lensing application
  to UNIONS/CFIS data

A Spatially Resolved Analysis of Star Formation Burstiness by Comparing UV and Hα in Galaxies at z ∼ 1 with UVCANDELS

UNIONS: The impact of systematic errors on weak-lensing peak counts


Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Multimodal gradient mapping of rodent hippocampus

Age-related differences in the functional topography of the locus coeruleus: implications for cognitive and affective functions

medRxiv : the preprint server for health sciences

Gradients of striatal function in antipsychotic-free first-episode psychosis and schizotypy


Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"

Denoising diffusion models for out-of-distribution detection

Histogram- and Diffusion-Based Medical Out-of-Distribution Detection


Colorgorical: Creating discriminable and preferable color palettes for information visualization

IEEE transactions on visualization and computer graphics

Color naming models for color selection, image editing and palette design

International Conference on Human Factors in Computing Systems

Measuring the Separability of Shape, Size, and Color in Scatterplots


This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.

Scalable Pareto Front Approximation for Deep Multi-Objective Learning


PERT: A Progressively Region-based Network for Scene Text Removal (TIP2023)

What is the Real Need for Scene Text Removal? Exploring the Background Integrity and Erasure Exhaustivity Properties

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

A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks.


[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable
  Example Attacks

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image
  Transformations


Code release for the TIP paper and MICCAI2018 paper "One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation".

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics

One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

Deep learning based brain tumor segmentation: a survey


Static analysis tool for Hyperledger Frabric smart contracts written in Go.

Blockchain-Based Privacy Enforcement in the IoT Domain

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

HyperSec: Visual Analytics for blockchain security monitoring

Continuous and Secure Integration Framework for Smart Contracts

A Survey of Verification, Validation and Testing Solutions for Smart
  Contracts


audioLIME: Listenable Explanations Using Source Separation

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Towards Musically Meaningful Explanations Using Source Separation


BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA

Workshop on Biomedical Natural Language Processing

Transferability of Natural Language Inference to Biomedical Question Answering


A robust and fast clustering method for amplicon-based studies

Blind assessment of vertebrate taxonomic diversity across spatial scales by clustering environmental DNA metabarcoding sequences

High and specific diversity of protists in the deep-sea basins dominated by diplonemids, kinetoplastids, ciliates and foraminiferans

Genetic Diversity in Marine Planktonic Ciliates (Alveolata, Ciliophora) Suggests Distinct Geographical Patterns – Data From Chinese and European Coastal Waters


Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'

Deep learning in multimodal remote sensing data fusion: A comprehensive review

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


[DEPRECATED] Vietnamese Handwriting Recognition with CRNN and CTC Loss

Generating Sequences With Recurrent Neural Networks

Generating Handwritten Chinese Characters using CycleGAN

Workshop on Applications of Computer Vision

Boosting Handwriting Text Recognition in Small Databases with Transfer Learning

PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR)


Source code and datasets of "RapidMatch: A Holistic Approach to Subgraph Query Processing", accepted by VLDB'21 - By Shixuan Sun, Xibo Sun, Yulin Che, Prof. Qiong Luo, and Prof. Bingsheng He

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on management of data

Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on
  Hypergraphs


A toolkit for testing machine translation [ICSE'20, '21, ESEC/FSE'20]

Structure-Invariant Testing for Machine Translation

SemMT: A Semantic-based Testing Approach for Machine Translation Systems


This repository is the official PyTorch implementation of "Distilling Linguistic Context for Language Model Compression" by GeondoPark, Gyeongman Kim and Eunho Yang.

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

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models


A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

Can Automatic Post-Editing Improve NMT?

Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT

Empirical Methods in Natural Language Processing

Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs

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


This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.

The weirdest SDSS galaxies: results from an outlier detection algorithm

Monthly Notices of the Royal Astronomical Society

Machine Learning in Astronomy: a practical overview

Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars

Characterization of Supernovae Based on the Spectral–Temporal Energy Distribution: Two Possible SN Ib Subtypes


Baseline method for sound event localization task of DCASE 2023 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

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

Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

Divided spectro-temporal attention for sound event localization and
  detection in real scenes for DCASE2023 challenge


Technical document that specifies 0x protocol.

SoK: Decentralized Finance (DeFi)

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

A Survey of Layer-Two Blockchain Protocols

Blockchain as IoT Economy Enabler: A Review of Architectural Aspects

Decentralized Finance (DeFi): A Survey

Explainable AI via Learning to Optimize

Who is gambling? Finding cryptocurrency gamblers using multi-modal retrieval methods

International journal of multimedia information retrieval


Sanity check Variant Call Format (VCF) files.

Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders

The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype.

Variable Effects of PD-Risk Associated SNPs and Variants in Parkinsonism-Associated Genes on Disease Phenotype in a Community-Based Cohort

Longitudinal Reading Measures and Genome Imputation in the National Child Development Study: Prospects for Future Reading Research

Twin research and human genetics : the official journal of the International Society for Twin Studies


All code for the Piecewise Linear Neural Networks verification: A comparative study paper

A Unified View of Piecewise Linear Neural Network Verification

Verification for Machine Learning, Autonomy, and Neural Networks Survey


AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

A Closer Look at Memorization in Deep Networks

Learning from Noisy Labels with Deep Neural Networks: A Survey

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

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels


Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis


Author implementation of "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016)

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Learning to Search in Long Documents Using Document Structure

Do Question Answering Modeling Improvements Hold Across Benchmarks?


Various scripts and recipes for working with nanopore data

A complete bacterial genome assembled de novo using only nanopore sequencing data

A reference bacterial genome dataset generated on the MinION™ portable single-molecule nanopore sequencer

A single chromosome assembly of Bacteroides fragilis strain BE1 from Illumina and MinION nanopore sequencing data

Assessing the utility of the Oxford Nanopore MinION for snake venom gland cDNA sequencing

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies


Parallel Sequence to Graph Alignment

Accelerating Sequence Alignment to Graphs

AStarix: Fast and Optimal Sequence-to-Graph Alignment

Fast and optimal sequence-to-graph alignment guided by seeds


NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Symmetric Nonnegative Matrix Factorization for Graph Clustering

SIAM International Conference on Data Mining

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering

Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation

Community Detection in Fully-Connected Multi-layer Networks Through Joint Nonnegative Matrix Factorization


Filter Response Normalization tested on better ImageNet baselines.

Group Normalization

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks


Emotion detection on multiparty dialogue.

Graph Based Network with Contextualized Representations of Turns in Dialogue

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

EmotionX-KU: BERT-Max based Contextual Emotion Classifier

PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level
  Emotion Recognition

A Dual-Stream Recurrence-Attention Network With Global-Local Awareness
  for Emotion Recognition in Textual Dialog


[ICCVW 2019] A Global-local Embedding Module for Fashion Landmark Detection

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

A Global-Local Emebdding Module for Fashion Landmark Detection


PyTorch implementation of Distribution Correction(DisCor) based on Soft Actor-Critic.

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

Soft Actor-Critic Algorithms and Applications

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning


Deduplicating Training Data Mitigates Privacy Risks in Language Models

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Bag of Tricks for Training Data Extraction from Language Models


Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources

Sparse and Non-Negative BSS for Noisy Data

NMF with Sparse Regularizations in Transformed Domains

A novel CMB component separation method: hierarchical generalized morphological component analysis

Monthly notices of the Royal Astronomical Society


Fast Image Processing with Fully-Convolutional Networks

Real-time Image Smoothing via Iterative Least Squares

BitNet: Learning-Based Bit-Depth Expansion


[CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Unsupervised Label Noise Modeling and Loss Correction

PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training


Label Informed Attributed Network Embedding, WSDM 2017

Network Together: Node Classification via Cross-Network Deep Network Embedding

IEEE transactions on neural networks and learning systems

Network Embedding for Cross-network Node Classification.

Effective and Scalable Clustering on Massive Attributed Graphs

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective

Joint Use of Node Attributes and Proximity for Node Classification


Learning local search heuristics for Boolean satisfiability

Learning Local Search Heuristics for Boolean Satisfiability

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction


Connectome Mapper

Topographic gradients of intrinsic dynamics across neocortex

Learning function from structure in neuromorphic networks

Signal propagation via cortical hierarchies

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain

Molecular signatures of cognition and affect

Global network structure and local transcriptomic vulnerability shape atrophy in sporadic and genetic behavioral variant frontotemporal dementia


Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.

Finding Approximate Local Minima Faster than Gradient Descent

Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions

Computing f(A)b via Least Squares Polynomial Approximations

Large Linear Multi-output Gaussian Process Learning


PyTorch implementation of the classical image steganalysis networks, compatible with both grayscale and color images, and supporting multiple image sizes.

Deep Residual Network for Steganalysis of Digital Images

IEEE transactions on information forensics and security

Structural Design of Convolutional Neural Networks for Steganalysis

A Siamese CNN for Image Steganalysis

Fast and Effective Global Covariance Pooling Network for Image Steganalysis

Information Hiding and Multimedia Security Workshop


GLASS consortium

Radiotherapy is associated with a deletion signature that contributes to poor outcomes in patients with cancer

Tumor mutational burden predicts survival in patients with low-grade gliomas expressing mutated IDH1

Relationship between Macrophage and Radiosensitivity in Human Primary and Recurrent Glioblastoma: In Silico Analysis with Publicly Available Datasets


Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Extremely Simple Activation Shaping for Out-of-Distribution Detection


基于RFBNET实现对无人机航拍图中电力杆塔，输电线的异常检测

Very Deep Convolutional Networks for Large-Scale Image Recognition

Focal Loss for Dense Object Detection

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Receptive Field Block Net for Accurate and Fast Object Detection


Volumetric path tracer written in C++

Monte Carlo Methods for Volumetric Light Transport Simulation

Residual ratio tracking for estimating attenuation in participating media

International Conference on Computer Graphics and Interactive Techniques

Hero Wavelength Spectral Sampling

SIGGRAPH Courses - Production volume rendering: SIGGRAPH 2017 course

A null-scattering path integral formulation of light transport

Integral formulations of volumetric transmittance

Practical and controllable subsurface scattering for production path tracing


A new open source and web tool to estimate actual ET based on SEBAL model.

Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin

A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas

Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing

Isprs Journal of Photogrammetry and Remote Sensing

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil


Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling

Embedding Structured Dictionary Entries

Proceedings of the First Workshop on Insights from Negative Results in NLP

Multi-Relational Hyperbolic Word Embeddings from Natural Language
  Definitions


A Python implementation for BH-FDR and HiCCUPS

Comparative Genome Analyses Highlight Transposon-Mediated Genome Expansion and the Evolutionary Architecture of 3D Genomic Folding in Cotton

SETDB1 acts as a topological accessory to Cohesin via an H3K9me3-independent, genomic shunt for regulating cell fates


Siamese Keypoint Prediction Network for Visual Object Tracking

Siamese Box Adaptive Network for Visual Tracking

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Fully Convolutional Online Tracking


[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy

Explaining and Harnessing Adversarial Examples

Boosting Adversarial Attacks with Momentum


TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.

Error-Bounded Graph Anomaly Loss for GNNs

International Conference on Information and Knowledge Management

BOND: Benchmarking Unsupervised Outlier Node Detection on Static
  Attributed Graphs

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection


Code to run submissions for the Atlantic Causal Inference Competition

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Treatment effect estimation with disentangled latent factors

On Inductive Biases for Heterogeneous Treatment Effect Estimation

Counterfactual Representation Learning with Balancing Weights

In Search of Insights, Not Magic Bullets: Towards Demystification of the
  Model Selection Dilemma in Heterogeneous Treatment Effect Estimation

Estimating causal effects with optimization-based methods: A review and empirical comparison

European journal of operational research

Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators.

Ensemble Method for Estimating Individualized Treatment Effects

How to select predictive models for causal inference?


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Reinforcement Learning on Graphs: A Survey

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

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

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Confidence-Augmented Reinforcement Learning

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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


Massively Parallel and Asynchronous Architecture for Logic-based AI

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

The Convolutional Tsetlin Machine

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

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

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

On the Convergence of Tsetlin Machines for the XOR Operator

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling

A relational tsetlin machine with applications to natural language understanding

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment


Transformer for Partial Differential Equations' Operator Learning

Scalable Transformer for PDE Surrogate Modeling

HAMLET: Graph Transformer Neural Operator for Partial Differential
  Equations


Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

Source Dependency-Aware Transformer with Supervised Self-Attention

Neural Machine Translation with Dynamic Graph Convolutional Decoder


The code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. NeurIPS 2021.

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph
  Reasoning

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning
  over Temporal Knowledge Graph


Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain

Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

Addressing the looming identity crisis in single cell RNA-seq

Practical bioinformatics pipelines for single-cell RNA-seq data analysis


Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

On Layer Normalization in the Transformer Architecture

ReZero is All You Need: Fast Convergence at Large Depth

cosFormer: Rethinking Softmax in Attention


Tool for assessing/improving assembly quality in extra-long tandem repeats

TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats

TandemMapper and TandemQUAST: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats

Fast and accurate mapping of long reads to complete genome assemblies with VerityMap


Habitat: A Platform for Embodied AI Research

Cognitive Mapping and Planning for Visual Navigation

Learning Exploration Policies for Navigation

Learning whom to trust in navigation: dynamically switching between
  classical and neural planning


FBNet: Feedback Network for Point Cloud Completion

Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation

Point Cloud Upsampling via Cascaded Refinement Network

MDR-MFI:Multi-Branch Decoupled Regression and Multi-Scale Feature Interaction for Partial-to-Partial Cloud Registration

IEEE International Conference on Acoustics, Speech, and Signal Processing


E3Outlier: Effective End-to-end Unsupervised Outlier Detection

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

E 3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.

IEEE transactions on pattern analysis and machine intelligence

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation

Latent feature reconstruction for unsupervised anomaly detection


PBSIM3: a simulator for all types of PacBio and ONT long reads

An In-Memory Architecture for High-Performance Long-Read Pre-Alignment
  Filtering


Inductive Representation Learning on Temporal Graphs

Self-attention with Functional Time Representation Learning

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


RankIQA model files in Pytorch. Test RankIQA on TID2013 or LIVE dataset in Pytorch.

RankIQA: Learning from Rankings for No-reference Image Quality Assessment

Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild.

Comparing the robustness of modern no-reference image- and video-quality
  metrics to adversarial attacks


A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently

Rigging the Lottery: Making All Tickets Winners

How Can We Be So Dense? The Benefits of Using Highly Sparse Representations.

Homological Neural Networks: A Sparse Architecture for Multivariate
  Complexity


[COLING 2020] EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

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

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

Think Twice: A Human-like Two-stage Conversational Agent for Emotional
  Response Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements


Event camera (DVS, Spike) based Papers Published on Top International Conference

SSTFormer: Bridging Spiking Neural Network and Memory Support
  Transformer for Frame-Event based Recognition

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large
  Vision-Language Models

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video
  Recognition

Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion
  based Classification


Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

Momentum Contrast for Unsupervised Visual Representation Learning

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future


Reinforcement Learning for Solving the Vehicle Routing Problem

Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations

Learning to Optimise General TSP Instances


Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

Learning to Generate Synthetic 3D Training Data through Hybrid Gradient

Robust 3D Face Reconstruction Using One/Two Facial Images


Very Deep Convolutional Networks for Large-Scale Image Recognition

Learning from Noisy Labels with Deep Neural Networks: A Survey

SELFIE: Refurbishing Unclean Samples for Robust Deep Learning

International Conference on Machine Learning


Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for
  3D Small Molecules and Macromolecule Complexes

Physics-aware Graph Neural Network for Accurate RNA 3D Structure
  Prediction


Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028  See also http://www.ioexplorer.org for interactive visuallization

Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

Targeting TMEM176B Enhances Antitumor Immunity and Augments the Efficacy of Immune Checkpoint Blockers by Unleashing Inflammasome Activation

Identification of 15 lncRNAs Signature for Predicting Survival Benefit of Advanced Melanoma Patients Treated with Anti-PD-1 Monotherapy

Identification and Validation in a Novel Quantification System of Ferroptosis Patterns for the Prediction of Prognosis and Immunotherapy Response in Left- and Right-Sided Colon Cancer

Multi-modal molecular programs regulate melanoma cell state

Multimodal immunogenomic biomarker analysis of tumors from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab


Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation

NVBitFI: Dynamic Fault Injection for GPUs

Enabling Software Resilience in GPGPU Applications via Partial Thread Protection

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights

Characterizing a Neutron-Induced Fault Model for Deep Neural Networks


adds sample names and read-group (RG) tags to BAM alignments

Assessment of Genetic Diversity and Population Structure in Iranian Cannabis Germplasm

Conventional and Single-Molecule Targeted Sequencing Method for Specific Variant Detection in IKBKG while Bypassing the IKBKGP1 Pseudogene

The Journal of molecular diagnostics/The journal of molecular diagnostics

Transmembrane transport and stress response genes play an important role in adaptation of Arabidopsis halleri to metalliferous soils

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

Diversity of Neofusicoccum parvum for the Production of the Phytotoxic Metabolites (-)-Terremutin and (R)-Mellein

Genome editing excisase origins illuminated by somatic genome of Blepharisma

Origins of genome-editing excisases as illuminated by the somatic genome of the ciliate Blepharisma

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


IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

IEEE transactions on intelligent transportation systems

Reinforcement Learning on Graphs: A Survey


Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.

Assessing Social and Intersectional Biases in Contextualized Word Representations

"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)


Pretrained bag-of-local-features neural networks

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields.


A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

One-Class Adversarial Nets for Fraud Detection

Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection


Paper list of 3D Face reconstruction and manipulation and relevant topics

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

Photo-Realistic Facial Details Synthesis From Single Image

High-Fidelity Monocular Face Reconstruction Based on an Unsupervised Model-Based Face Autoencoder

Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling

International journal of computer vision


Source Code of GraRep

A Survey on Network Embedding

Network Representation Learning: A Survey

Network representation learning systematic review: ancestors and current development state

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

Dual-Channel Heterogeneous Graph Network for Author Name Disambiguation

Semantic Random Walk for Graph Representation Learning in Attributed
  Graphs


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

Self-critical Sequence Training for Image Captioning

Context-Aware Group Captioning via Self-Attention and Contrastive Features

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning


PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Handling Distribution Shifts on Graphs: An Invariance Perspective

Local Augmentation for Graph Neural Networks

Tree Decomposed Graph Neural Network

Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

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

Hierarchical message-passing graph neural networks

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

Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?

Label-Wise Graph Convolutional Network for Heterophilic Graphs


a bert for retrieval and generation

ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings

UniASM: Binary Code Similarity Detection without Fine-tuning

MSMix: An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup

A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph


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


MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

An Overview of Multi-Task Learning in Deep Neural Networks

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Self-Attentive Sequential Recommendation

Deep Interest Network for Click-Through Rate Prediction

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer


Data for evaluating gender bias in coreference resolution systems.

Gender Bias in Coreference Resolution

Algorithmic fairness datasets: the story so far

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

Inseq: An Interpretability Toolkit for Sequence Generation Models

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies


The Continual Learning in Multimodality Benchmark

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

I2I: Initializing Adapters with Improvised Knowledge


Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

Learning Tree-based Deep Model for Recommender Systems

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Learning Optimal Tree Models Under Beam Search

Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations

Deep Retrieval: An End-to-End Structure Model for Large-Scale Recommendations


reference-guided aligner for next-generation sequencing technologies

MOSAIK: A Hash-Based Algorithm for Accurate Next-Generation Sequencing Short-Read Mapping

A Novel Bipartite Centrosome Coordinates the Apicomplexan Cell Cycle

Technology dictates algorithms: Recent developments in read alignment

Whole transcriptome RNA-Seq allelic expression in human brain

Recent advancement in next-generation sequencing techniques and its computational analysis

Adaptive responses of yeast strains tolerant to acidic pH, acetate, and supraoptimal temperature

Empirical study on software and process quality in bioinformatics tools


Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".

Understanding Decision-Time vs. Background Planning in Model-Based
  Reinforcement Learning

Boolean Decision Rules for Reinforcement Learning Policy Summarisation

Minimal Value-Equivalent Partial Models for Scalable and Robust Planning
  in Lifelong Reinforcement Learning


A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Deep learning for time series classification: a review

Pre-trained models for natural language processing: A survey

Attention mechanisms in computer vision: A survey

Time Series Forecasting With Deep Learning: A Survey

Deep Learning for Time Series Forecasting: A Survey

Transformers in Time Series: A Survey

Attention, please! A survey of neural attention models in deep learning


Tool for drawing diagrams on a grid, combining grids of SVGs into a big SVG figure

Who witnesses The Witness? Finding witnesses in The Witness is hard and sometimes impossible

Yin-Yang Puzzles are NP-complete

Recursed is not Recursive: A Jarring Result

Path Puzzles: Discrete Tomography with a Path Constraint is Hard

Complexity of Solo Chess with Unlimited Moves


Single-cell and spatial analysis reveal interaction of FAP+ fibroblasts and SPP1+ macrophages in colorectal cancer

scCODA is a Bayesian model for compositional single-cell data analysis

Extracellular vesicles produced by the human commensal gut bacterium Bacteroides thetaiotaomicron affect host immune pathways in a cell-type specific manner that are altered in inflammatory bowel disease


Improved Techniques for Training GANs

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

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions

Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network

Cross Modal Compression: Towards Human-comprehensible Semantic Compression


Densely Connected Convolutional Networks

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

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Incorporating Uncertainty in Learning to Defer Algorithms for Safe
  Computer-Aided Diagnosis

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation


The SentiWordNet sentiment lexicon

Semantic Features for Optimizing Supervised Approach of Sentiment Analysis on Product Reviews

Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge

Computer modeling in engineering & sciences

CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection

An integrated fuzzy neural network with topic-aware auto-encoding for sentiment analysis

Computational Sarcasm Analysis on Social Media: A Systematic Review

Practical Approach on Implementation of WordNets for South African Languages

An Improved Method for Extractive Based Opinion Summarization Using Opinion Mining

Computer systems science and engineering

Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue


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

Generative Adversarial Text to Image Synthesis

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

Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies


Implementation for NAT.

DARTS: Differentiable Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Towards Accurate and Compact Architectures via Neural Architecture Transformer


ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks

Open Domain Dialogue Generation with Latent Images

WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation

Which Kind Is Better in Open-domain Multi-turn Dialog, Hierarchical or Non-hierarchical Models? An Empirical Study.

Anna: A Dapper Open-Domain Dialogue Agent Based on a Joint Attention Network


Interactive multivariate data analysis in R implemented in shiny.

Integrated microbiome and metabolome analysis reveals a novel interplay between commensal bacteria and metabolites in colorectal cancer

Genomic, Proteomic, and Metabolomic Data Integration Strategies

From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics

Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses


NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering

RUBi: Reducing Unimodal Biases in Visual Question Answering

Introspective Distillation for Robust Question Answering

Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models

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


An unofficial implement of DiffEdit on stable-diffusion

DiffEdit: Diffusion-based semantic image editing with mask guidance

Text-Driven Image Editing via Learnable Regions


State-of-the-art neural cardinality estimators for join queries

NeuroCard: One Cardinality Estimator for All Tables

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation


Improved Training of Wasserstein GANs

Transferring GANs: generating images from limited data

Memory Replay GANs: learning to generate images from new categories without forgetting

FoCL: Feature-Oriented Continual Learning for Generative Models

Match What Matters: Generative Implicit Feature Replay for Continual Learning.


[NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'

Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation


This repo includes some graph-based CTR prediction models and other representative baselines.

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

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

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

GraphFM: Graph Factorization Machines for Feature Interaction Modeling


This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

Computing Dynamic User Equilibria on Large-Scale Networks with Software Implementation

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters

Computing Dynamic User Equilibria on Large-Scale Networks: From Theory to Software Implementation.

Strong Convergence of Forward-Backward-Forward Methods for
  Pseudo-monotone Variational Inequalities with Applications to Dynamic User
  Equilibrium in Traffic Networks


A user friendly tools using Monte Carlo simulations for estimation of Curie temperature

Giant valley splitting in a MoTe2/MnSe2 van der Waals heterostructure with room-temperature ferromagnetism

Achieving High-Temperature Ferromagnetism by Means of Magnetic Ion Dimerization in the Graphene-like Mn2N6C6 Monolayer

Atomic Intercalation Induced Spin-Flip Transition in Bilayer CrI3


Question Answering and Generation for Summarization

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

NewsQA: A Machine Comprehension Dataset

Bottom-Up Abstractive Summarization

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

HaRiM^+: Evaluating Summary Quality with Hallucination Risk


This code accompanies the paper "Parameter-free Online Test-time Adaptation".

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Robust Test-Time Adaptation in Dynamic Scenarios

DELTA: degradation-free fully test-time adaptation

Feature Alignment and Uniformity for Test Time Adaptation

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios


pytorch implementation of Large Scale Incremental Learning

Large Scale Incremental Learning

Continual Learning Based on OOD Detection and Task Masking


Awesome resources for artificial intelligence in cardiology

Cardiovascular Event Prediction by Machine Learning

Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease

Machine Learning Approaches in Cardiovascular Imaging

Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology

A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings


Creative Commons Attribution 4.0 International

Repository for the Bias Benchmark for QA dataset.

Holistic Evaluation of Language Models

BBQ: A Hand-Built Bias Benchmark for Question Answering

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes


Attribute-Object Visual Composition using Attributes as Operators

Attributes as Operators: Factorizing Unseen Attribute-Object Compositions

Task-Aware Feature Generation for Zero-Shot Compositional Learning

Zero-Shot Compositional Concept Learning

Translational Concept Embedding for Generalized Compositional Zero-shot
  Learning


See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks

Temporally Coherent Person Matting Trained on Fake-Motion Dataset


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

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

SymJAX: symbolic CPU/GPU/TPU programming

Learnable filter-banks for CNN-based audio applications

Proceedings of the Northern Lights Deep Learning Workshop

Improving Compositionality of Neural Networks by Decoding Representations to Inputs

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


Codes for our paper "Revisiting Multiple Instance Neural Networks".

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Multi-Instance Causal Representation Learning for Instance Label
  Prediction and Out-of-Distribution Generalization

A Survey on Human Cancer Categorization Based on Deep Learning


98.8 solution for german sign classifing problem, done as p2 for Udacity's Self-driving car nano degree

Robust Physical-World Attacks on Deep Learning Models

Traffic Sign Classification Using Deep Inception Based Convolutional Networks

A Survey on Automated Driving System Testing: Landscapes and Trends

Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey

Adversarial Attacks on Traffic Sign Recognition: A Survey

Robust Classification using Robust Feature Augmentation


Source code of paper "Differentially Private Generative Adversarial Network"

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security

Differentially Private Generation of Small Images


An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning


Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm

Multimodal Masked Autoencoders Learn Transferable Representations

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Multimodal foundation models are better simulators of the human brain