Reliability Test System - Grid Modernization Lab Consortium

U.S. Test System with High Spatial and Temporal Resolution for Renewable Integration Studies

Profitable Emissions-Reducing Energy Storage

Risk-Aware Dimensioning and Procurement of Contingency Reserve

An Enterprise Control Methodology for the Techno-Economic Assessment of the Energy Water Nexus

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Integrating Electric Vehicles into Power System Operation Production Cost Models

Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems

A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals

Power System Impacts of Electric Vehicle Charging Strategies


Code metrics for Java code by means of static analysis

The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring

Why Developers Refactor Source Code: A Mining-based Study

Mock objects for testing java systems

An Exploratory Study of Log Placement Recommendation in an Enterprise System

E-SC4R: Explaining Software Clustering for Remodularisation

A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation

Instance Space Analysis of Search-Based Software Testing

IEEE Transactions on Software Engineering

Data-Driven Extract Method Recommendations: A Study at ING

Learning migration models for supporting incremental language migrations of software applications

Systematic Literature Review on Application of Learning-Based Approaches in Continuous Integration


Processing pipelines for the HCP

A multi-modal parcellation of human cerebral cortex

Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

Quantitative mapping of the per‐axon diffusion coefficients in brain white matter

Effects of a Brain-Computer Interface With Virtual Reality (VR) Neurofeedback: A Pilot Study in Chronic Stroke Patients

Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan

Open and reproducible neuroimaging: From study inception to publication

Ketamine, but Not the NMDAR Antagonist Lanicemine, Increases Prefrontal Global Connectivity in Depressed Patients

A cortical surface-based geodesic distance package for Python

Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia

A whole-cortex probabilistic diffusion tractography connectome


A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"

Finding Tiny Faces

Few-Shot Adaptive Gaze Estimation

Can we still avoid automatic face detection?


Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

R-Drop: Regularized Dropout for Neural Networks

Token Shift Transformer for Video Classification

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Vision Transformer Hashing for Image Retrieval

Reveal of Vision Transformers Robustness against Adversarial Attacks

Training Transformers with 4-bit Integers

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

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


A Python wrapper around the NLPIR/ICTCLAS Chinese segmentation software.

Prosody leaks into the memories of words

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion

Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China


Effective Mass Calculator for Semiconductors

Structural, elastic, thermal, and electronic responses of small-molecule-loaded metal–organic framework materials

Effects of the Hubbard U on density functional-based predictions of
  BiFeO_3 properties

Journal of physics. Condensed matter : an Institute of Physics journal

Large exciton binding energies in MnPS_3 as a case study of vdW
  layered magnet

Decouple electronic and phononic transport in nanotwinned structures: a new strategy for enhancing the figure-of-merit of thermoelectrics

High-throughput calculation screening for new silicon allotropes with monoclinic symmetry

Effective mass path integral simulations of quasiparticles in condensed phases


JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

A synergistic core for human brain evolution and cognition

A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness

Information Theory for Complex Systems Scientists

Precursors-driven machine learning prediction of chaotic extreme pulses in Kerr resonators

Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs


python library for invisible image watermark (blind image watermark)

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Robust Invisible Video Watermarking with Attention

Watermark-based Detection and Attribution of AI-Generated Content

A Watermark-Conditioned Diffusion Model for IP Protection

UnMarker: A Universal Attack on Defensive Watermarking

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking

Robust-Wide: Robust Watermarking against Instruction-driven Image
  Editing

A Solution toward Transparent and Practical AI Regulation: Privacy
  Nutrition Labels for Open-source Generative AI-based Applications


Visualization of a correlation matrix using ggplot2

Regulation of Hippo signaling and triple negative breast cancer progression by an ubiquitin ligase RNF187

Lung gene expression and single cell analyses reveal two subsets of idiopathic pulmonary fibrosis (IPF) patients associated with different pathogenic mechanisms

Fine-Scale Map Reveals Highly Variable Recombination Rates Associated with Genomic Features in the Eurasian Blackcap

Integrative Longitudinal Analysis of Metabolic Phenotype and Microbiota Changes During the Development of Obesity

Frontiers in cellular and infection microbiology


MLBox is a powerful Automated Machine Learning python library.

AutoML to Date and Beyond: Challenges and Opportunities

Automated Machine Learning: State-of-The-Art and Open Challenges

Automated Machine Learning on Graphs: A Survey

Testing the Robustness of AutoML Systems

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Robust random cut forest based anomaly detection on streams

International Conference on Machine Learning

Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

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

Revisiting randomized choices in isolation forests

Isolation forests: looking beyond tree depth


How to predict extreme events in climate using rare event algorithms and modern tools of machine learning

Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data

Robust intra-model teleconnection patterns for extreme heatwaves

Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning


AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

Automated Concatenation of Embeddings for Structured Prediction

Zero-Shot Information Extraction via Chatting with ChatGPT

Named Entity and Relation Extraction with Multi-Modal Retrieval

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking

Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing

D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


DeepTables:  Deep-learning Toolkit for Tabular data

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

Deep & Cross Network for Ad Click Predictions

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

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

Entity Embeddings of Categorical Variables

FiBiNET: combining feature importance and bilinear feature interaction for click-through rate prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

FLEN: Leveraging Field for Scalable CTR Prediction

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data


视觉预训练基础模型仓库

Context Autoencoder for Self-Supervised Representation Learning

StrucTexT: Structured Text Understanding with Multi-Modal Transformers

StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training

UFO: Unified Feature Optimization

Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey


A versatile modelling tool for transiting and non-transiting (single and multiple) exoplanetary systems

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

Monthly notices of the Royal Astronomical Society

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

Transit detection of the long-period volatile-rich super-Earth ν2 Lupi d with CHEOPS

A nearby transiting rocky exoplanet that is suitable for atmospheric investigation

HD 213885b: A transiting 1-d-period super-Earth with an Earth-like composition around a bright (V = 7.9) star unveiled by TESS

An ultrahot Neptune in the Neptune desert

A detailed analysis of the Gl 486 planetary system

TOI-132 b: A short-period planet in the Neptune desert transiting a v = 11.3 G-type star

Monthly Notices of the Royal Astronomical Society

HATS-54b–HATS-58Ab: Five New Transiting Hot Jupiters Including One with a Possible Temperate Companion*

The geometric albedo of the hot Jupiter HD 189733b measured with CHEOPS


fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
  Determines Multimodal Model Performance

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal
  Language Model

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings
  and Structured Data

SelfClean: A Self-Supervised Data Cleaning Strategy

Towards Reliable Dermatology Evaluation Benchmarks

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection

Image Outlier Detection Without Training using RANSAC


Data mining for materials science

Recent advances and applications of deep learning methods in materials science

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

A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses

Predicting the propensity for thermally activated β events in metallic glasses via interpretable machine learning

Machine learning in materials modeling—fundamentals and the opportunities in 2D materials

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials


Deepfakes Software For All

CNN-generated images are surprisingly easy to spot... for now

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

FSGAN: Subject Agnostic Face Swapping and Reenactment

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Deep Learning for Deepfakes Creation and Detection: A Survey

The Creation and Detection of Deepfakes: A Survey

Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

Recurrent Convolutional Strategies for Face Manipulation Detection in Videos


Development repository for the `ez` package for R

The Semantic Content of Abstract Concepts: A Property Listing Study of 296 Abstract Words

No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades

Reduced Frontal Nogo-N2 With Uncompromised Response Inhibition During Transcutaneous Vagus Nerve Stimulation—More Efficient Cognitive Control?

Dissociable neural correlates of stimulation intensity and detection in somatosensation

Investigating Fast Mapping Task Components: No Evidence for the Role of Semantic Referent nor Semantic Inference in Healthy Adults

Macular Pigment Response to Lutein, Zeaxanthin, and Meso-zeaxanthin Supplementation in Open-Angle Glaucoma

An Exploratory Study Combining Eye-Tracking and Virtual Reality: Are Pulses Good “Eye-Catchers” in Virtual Supermarket Shelves?

Spontaneous eye movements during focused-attention mindfulness meditation

Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach

Does Transcranial Direct Current Stimulation (tDCS) Improve Disgust Regulation Through Imagery Rescripting?


SAM (Significance Analysis of Microarrays) shiny app

Distinct lncRNA transcriptional fingerprints characterize progressive stages of multiple myeloma

lncRNA profiling in early-stage chronic lymphocytic leukemia identifies transcriptional fingerprints with relevance in clinical outcome

Proteomic Investigation Uncovers Potential Targets and Target Sites of Pneumococcal Serine-Threonine Kinase StkP and Phosphatase PhpP

Protein profiling of alpha-fetoprotein producing gastric adenocarcinoma

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma

The Aurora kinase/β-catenin axis contributes to dexamethasone resistance in leukemia

Protein Translation Inhibition is Involved in the Activity of the Pan-PIM Kinase Inhibitor PIM447 in Combination with Pomalidomide-Dexamethasone in Multiple Myeloma

High Dimensional Analyses of Circulating Immune Cells in Psoriatic Arthritis Detects Elevated Phosphorylated STAT3

Transcriptome Profiling of Atlantic Salmon Adherent Head Kidney Leukocytes Reveals That Macrophages Are Selectively Enriched During Culture

Transcriptomic Analysis in Multiple Myeloma and Primary Plasma Cell Leukemia with t(11;14) Reveals Different Expression Patterns with Biological Implications in Venetoclax Sensitivity


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

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

Ghost on the Shell: An Expressive Representation of General 3D Shapes


Pytorch-Named-Entity-Recognition-with-BERT

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

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Meeting of the Association for Computational Linguistics

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering

Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models

Creative Painting with Latent Diffusion Models

ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition

Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition


[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Graph Self-Supervised Learning: A Survey

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

G-Mixup: Graph Data Augmentation for Graph Classification

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Prototypical Graph Contrastive Learning

Robust Contrastive Learning against Noisy Views

Graph-based Molecular Representation Learning

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum


This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

Attention-Based Models for Speech Recognition

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Listen, Attend and Spell

Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding


GROWTH Target of Opportunity Marshal

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

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

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

Dynamic scheduling: target of opportunity observations of gravitational wave events

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


Privacy preserving voluntary Covid-19 self-reporting platform. Share your location history and status, get alerts you are in high risk areas and identify high risk regions

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment

An Exploratory Characterization of Bugs in COVID-19 Software Projects

Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets

Tracking the Invisible: Privacy-Preserving Contact Tracing to Control the Spread of a Virus

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security


TimerOne Library with optimization and expanded hardware support

Fabricating a Portable ECG Device Using AD823X Analog Front-End Microchips and Open-Source Development Validation

Portable ECG System Design Using the AD8232 Microchip and Open-Source Platform

The 6th International Electronic Conference on Sensors and Applications

Development of an open hardware bioreactor for optimized cardiac cell culture integrating programmable mechanical and electrical stimulations


A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Geographic and Geopolitical Biases of Language Models

Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives

Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets


TT

Normalization for multimodal type theory

Logical Relations as Types: Proof-Relevant Parametricity for Program Modules

Formalizing π4(S3) ≅Z/2Z and Computing a Brunerie Number in Cubical Agda

An inductive-recursive universe generic for small families

Cubical methods in homotopy type theory and univalent foundations

Mathematical Structures in Computer Science

Domain Theory in Constructive and Predicative Univalent Foundations


brain connectivity toolbox for python

A parsimonious description of global functional brain organization in three spatiotemporal patterns

Connectivity characterization of the mouse basolateral amygdalar complex

Topological reinforcement as a principle of modularity emergence in brain networks

Characterization of the Brain Functional Architecture of Psychostimulant Withdrawal Using Single-Cell Whole-Brain Imaging

A connectomics-based taxonomy of mammals

Network topology of the marmoset connectome

Sex-Specific Neural Networks of Cued Threat Conditioning: A Pilot Study

Dynamic Neural Network Reconfiguration During the Generation and Reinstatement of Mnemonic Representations

A transdiagnostic data-driven study of children’s behaviour and the functional connectome

Sex differences in neural networks recruited by frontloaded binge alcohol drinking

bioRxiv : the preprint server for biology


:robot: :speech_balloon: Deep learning for Text to Speech  (Discussion forum: https://discourse.mozilla.org/c/tts)

Tacotron: Towards End-to-End Speech Synthesis

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

A Survey on Neural Speech Synthesis

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis

MTL-SLT: Multi-Task Learning for Spoken Language Tasks

Proceedings of the 4th Workshop on NLP for Conversational AI

TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese


Tools to make an R developer's life easier

Defects in placental syncytiotrophoblast cells are a common cause of developmental heart disease

Exploring species-level infant gut bacterial biodiversity by meta-analysis and formulation of an optimized cultivation medium

Netpredictor: R and Shiny package to perform drug-target network analysis and prediction of missing links

TrenchR: An R package for modular and accessible microclimate and biophysical ecology

Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT

A Framework for Reproducible, Interactive Research: Application to health and social sciences

Genomic analyses suggest strong population connectivity over large spatial scales of the commercially important baitworm, Australonuphis teres (Onuphidae)

End-to-end pipeline for differential analysis of pausing in ribosome profiling data


Python port of Moses tokenizer, truecaser and normalizer

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Mind the Gap: Assessing Temporal Generalization in Neural Language Models

It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

International Conference on Computational Logic

Finding the Optimal Vocabulary Size for Neural Machine Translation

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

Many-to-English Machine Translation Tools, Data, and Pretrained Models

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises


Unify and Simplify Discrete-time and Continuous-time Discrete Denoising Diffusion

A Continuous Time Framework for Discrete Denoising Models

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Unified Discrete Diffusion for Categorical Data


Biomedical Data-to-Text Generation via Fine-Tuning Transformers

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

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


Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay

Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network


Code for "Universal Adversarial Triggers Are Not Universal."

Universal and Transferable Adversarial Attacks on Aligned Language Models

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions


ChIP-seq analysis notes from Tommy Tang

A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data

Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data

Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors

Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding?

Computational Identification of Genomic Features That Influence 3D Chromatin Domain Formation

Detecting broad domains and narrow peaks in ChIP-seq data with hiddenDomains

Carolina Digital Repository (University of North Carolina at Chapel Hill)

MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis


Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.

CogAgent: A Visual Language Model for GUI Agents

Android in the Wild: A Large-Scale Dataset for Android Device Control

You Only Look at Screens: Multimodal Chain-of-Action Agents


Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

StyleDrop: Text-to-Image Generation in Any Style

Learning Disentangled Prompts for Compositional Image Synthesis

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser


Training A Small Emotional Vision Language Model for Visual Art Comprehension

ArtEmis: Affective Language for Visual Art

It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection


Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache
  Quantization

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Massive Activations in Large Language Models

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization


Reproducing Spiking Transformers using Briancog

Spikformer: When Spiking Neural Network Meets Transformer

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks

TIM: An Efficient Temporal Interaction Module for Spiking Transformer

QKFormer: Hierarchical Spiking Transformer using Q-K Attention


Learning Deep Features for Discriminative Localization

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Multi-Scale Convolutional Neural Networks for Time Series Classification


A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

An end-to-end assembly of the Aedes aegypti genome

Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions

Cooler: scalable storage for Hi-C data and other genomically labeled arrays

Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data

Condensin-driven remodelling of X chromosome topology during dosage compensation


Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

The Application of Deep Learning in Cancer Prognosis Prediction

Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data


Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models

CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought

Advancing Semantic Textual Similarity Modeling: A Regression Framework
  with Translated ReLU and Smooth K2 Loss


Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Learning Collaborative Policies to Solve NP-hard Routing Problems

Routing Arena: A Benchmark Suite for Neural Routing Solvers


Semi-Dense 3D Reconstruction with a Stereo Event Camera

Event-Based Stereo Visual Odometry

IMU-Aided Event-based Stereo Visual Odometry


Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

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

Does Debiasing Inevitably Degrade the Model Performance


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

Deep Cox Mixtures for Survival Regression

A Deep Variational Approach to Clustering Survival Data


NeuroSAT: Learning a SAT Solver from Single-Bit Supervision

Graph-based Semi-supervised Learning: A Comprehensive Review

Addressing Variable Dependency in GNN-based SAT Solving


A python wrapper for Henk Spruit's doppler tomography software

New observations of DW Cnc: where is the 38 min signal?

Evidence of intra-binary shock emission from the redback pulsar PSR J1048+2339

New radial velocity observations of AH Her: evidence for material outside the tidal radius

NEW PHOTOMETRY AND SPECTROSCOPY OF DW CANCRI

Revista Mexicana de Astronomía y Astrofísica

Structure of the accretion flow of IX Velorum as revealed by high-resolution spectroscopy

NEW SPECTROSCOPY OF U GEM


A Simple Convolutional Generative Network for Next Item Recommendation

Task Relation-aware Continual User Representation Learning

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

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System


CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Pre-gen metrics: Predicting caption quality metrics without generating captions

On Architectures for Including Visual Information in Neural Language Models for Image Description


Cartesian Cubical Type Theory

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Proceedings of the ACM on Programming Languages

Internal Universes in Models of Homotopy Type Theory

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Internalizing Representation Independence with Univalence

All (∞,1)-toposes have strict univalent universes

Cubical Syntax for Reflection-Free Extensional Equality

Computational Higher Type Theory IV: Inductive Types

Decomposing the Univalence Axiom

Naive cubical type theory

The derivator of setoids


A tool for removing redundant genomes from a set of assemblies

Defense systems are pervasive across chromosomally integrated mobile genetic elements and are inversely correlated to virulence and antimicrobial resistance

Identification of methicillin-resistant Staphylococcus aureus ST8 isolates in China with potential high virulence

The Origins of ST11 KL64 Klebsiella pneumoniae: a Genome-Based Study

A graph-based approach for the visualisation and analysis of bacterial pangenomes

SaQuant: a real-time PCR assay for quantitative assessment of Staphylococcus aureus

ToRQuEMaDA: Tool for Retrieving Queried Eubacteria, Metadata and Dereplicating Assemblies

The man, the plant, and the insect: shooting host specificity determinants in Serratia marcescens pangenome

ColiSeq: a multiplex amplicon assay that provides strain level resolution of Escherichia coli directly from clinical specimens

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

International journal of systematic and evolutionary microbiology

Simulated Nanopore metagenomic reads

Zenodo (CERN European Organization for Nuclear Research)


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Learning Gradient Fields for Molecular Conformation Generation

SE(3) Equivariant Graph Neural Networks with Complete Local Frames


Word Translation Without Parallel Data

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

Improving Bilingual Lexicon Induction for Low Frequency Words

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


Simple and Efficient Heterogeneous Graph Neural Network

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Efficient Heterogeneous Graph Learning via Random Projection

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling


Where Would I Go Next? Large Language Models as Human Mobility Predictors

Empowering Time Series Analysis with Large Language Models: A Survey

Large Language Models for Mobility in Transportation Systems: A Survey
  on Forecasting Tasks

Context-aware multi-head self-attentional neural network model for next location prediction


Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.

Extending Context Window of Large Language Models via Positional Interpolation

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Landmark Attention: Random-Access Infinite Context Length for Transformers

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


Packet simulator for data center network topologies, routing, and congestion control

COUDER: Robust Topology Engineering for Optical Circuit Switched Data Center Networks

Distributed deep learning training using silicon photonic switched architectures

METTEOR: Robust Multi-Traffic Topology Engineering for Commercial Data Center Networks

RIFO: Pushing the Efficiency of Programmable Packet Schedulers


A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations

Using singular values to build a subgrid-scale model for large eddy simulations

Physical consistency of subgrid-scale models for large-eddy simulation of incompressible turbulent flows

Building proper invariants for eddy-viscosity subgrid-scale models

A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows


[CVPR 2024] Code for HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context


Matlab routines for computing the Modulation Index and Comodulogram, as described in Tort et al., J Neurophysiol 2010

Visual evoked feedforward–feedback traveling waves organize neural activity across the cortical hierarchy in mice

Mouse mutants in schizophrenia risk genes GRIN2A and AKAP11 show EEG abnormalities in common with schizophrenia patients

Hippocampal-Prefrontal Interactions during Spatial Decision-Making

Oscillations support short latency co-firing of neurons during human episodic memory formation


The QMNIST dataset

Cold Case: The Lost MNIST Digits

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

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

Journal of Intelligent Information Systems


Imfit: an open-source astronomical image-fitting program.

Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang

The Intrinsic Shapes of Low Surface Brightness Galaxies (LSBGs): A Discriminant of LSBG Galaxy Formation Mechanisms

Composite bulges – II. Classical bulges and nuclear discs in barred galaxies: the contrasting cases of NGC 4608 and NGC 4643

Monthly notices of the Royal Astronomical Society

PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology

Composite Bulges. III. A Study of Nuclear Star Clusters in Nearby Spiral Galaxies

Flares, Warps, Truncations, and Satellite: The Ultra-thin Galaxy UGC 11859


Understanding self-supervised Learning Dynamics without Contrastive Pairs

A Cookbook of Self-Supervised Learning

Understanding Self-supervised Learning with Dual Deep Networks

Understanding Deep Contrastive Learning via Coordinate-wise Optimization

JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Towards Demystifying Representation Learning with Non-contrastive Self-supervision

Luck Matters: Understanding Training Dynamics of Deep ReLU Networks

Student Specialization in Deep ReLU Networks With Finite Width and Input Dimension

Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning


Fast Inference of Networks from Directed Regulations

Learning Causal Biological Networks With the Principle of Mendelian Randomization

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering

Causal inference in drug discovery and development

Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast


Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples


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

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

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


An MPI Toolkit for large-scale genomic analysis

The comparison of four mitochondrial genomes reveals cytoplasmic male sterility candidate genes in cotton

Rhopalocnemis phalloides has one of the most reduced and mutated plastid genomes known

Comparative Analysis of Plastid Genomes in the Non-photosynthetic Genus Thismia Reveals Ongoing Gene Set Reduction

Chloroplast Genome Analysis of Two Medicinal Coelogyne spp. (Orchidaceae) Shed Light on the Genetic Information, Comparative Genomics, and Species Identification

Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep


A legacy repository. Was replaced by distiller, cooler, and cooltools.

High-quality genome assembly and resequencing of modern cotton cultivars provide resources for crop improvement

Centromere Interactions Promote the Maintenance of the Multipartite Genome in Agrobacterium tumefaciens

Sensitivity of cohesin–chromatin association to high-salt treatment corroborates non-topological mode of loop extrusion


Datasets for the Monolingual Word Sense Alignment (MWSA) task

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

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

Monolingual Word Sense Alignment as a Classification Problem

Challenges of Word Sense Alignment: Portuguese Language Resources

Implementation of Supervised Training Approaches forMonolingual Word Sense Alignment:ACDH-CH System Description for the MWSA Shared Task at GlobaLex 2020


[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation

Shape As Points: A Differentiable Poisson Solver

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?


Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

Learning Neural Models for Natural Language Processing in the Face of Distributional Shift


Content-aware Neural Hashing for Cold-start Recommendation

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

Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering


The Washington Post's analysis of NOAA climate change data for the contiguous United States


R scripts for performing co-occurrence analyses

Soil bacterial networks are less stable under drought than fungal networks

The capacity of wastewater treatment plants drives bacterial community structure and its assembly

Soil Bacterial and Fungal Communities Exhibit Distinct Long-Term Responses to Disturbance in Temperate Forests

Characterization of a nifH-Harboring Bacterial Community in the Soil-Limited Gotjawal Forest


research the 2019-nCov and design the inhibitors with AI

AI-Aided Design of Novel Targeted Covalent Inhibitors against SARS-CoV-2

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using recurrent neural network-based transfer learning

Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

Artificial intelligence-driven drug repurposing and structural biology for SARS-CoV-2


Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

Graph Fairness Learning under Distribution Shifts

A Benchmark for Fairness-Aware Graph Learning


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

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

Journal of chemical information and modeling

Text-mined dataset of inorganic materials synthesis recipes

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

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

Semi-supervised machine-learning classification of materials synthesis procedures


Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

MetaPoison: Practical General-purpose Clean-label Data Poisoning


ICLR 2021, Fair Mixup: Fairness via Interpolation

Fair Mixup: Fairness via Interpolation

Learning fair representation with a parametric integral probability metric

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing


Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020

TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch


Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"

Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

A Graph-Regularized Non-local Hyperspectral Image Denoising Method

International Symposium on Geometry and Vision


Federated Learning Based on Dynamic Regularization

FedLab: A Flexible Federated Learning Framework

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes


Pointer Networks in PyTorch

Get To The Point: Summarization with Pointer-Generator Networks

Pointer Networks

Order Matters: Sequence to sequence for sets

Neural Models for Sequence Chunking


Utilities for nonlinear least-squares fits.

|Vub | from B →π ν decays and (2+1)-flavor lattice QCD

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Bc→J/ψ
 form factors for the full
q2
 range from lattice QCD

Gluon gravitational structure of hadrons of different spin

Two-nucleon S -wave interactions at the SU(3) flavor-symmetric point with mud≈ msphys: A first lattice QCD calculation with the stochastic Laplacian Heaviside method

Neutral kaon mixing beyond the Standard Model with n f = 2 + 1 chiral fermions. Part 2: non perturbative renormalisation of the ΔF = 2 four-quark operators

Reconstruction of smeared spectral functions from Euclidean correlation functions

Progress of Theoretical and Experimental Physics

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Gravitational form factors of the pion from lattice QCD

Gravitational form factors of the proton from lattice QCD

B_c → B_s(d) form factors from lattice QCD


Code for Heaton et al (in JABES, 2018)

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

Journal of the American Statistical Association

Statistical Deep Learning for Spatial and Spatio-Temporal Data

MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation

Precision Aggregated Local Models

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation

Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization


HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.

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

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

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Domain Transfer Learning for Hyperspectral Image Super-Resolution

Self-Dictionary Regression for Hyperspectral Image Super-Resolution

Blind Fusion of Hyperspectral Multispectral Images Based on Matrix Factorization

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion

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

Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization

A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening


Conservative Q learning in Jax

Soft Actor-Critic Algorithms and Applications

Conservative Q-Learning for Offline Reinforcement Learning

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Boosting Offline Reinforcement Learning via Data Rebalancing

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning


[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

Multiplex Heterogeneous Graph Convolutional Network


Metrica Sports sample tracking and event data

Expected passes

Time-series Imputation of Temporally-occluded Multiagent Trajectories

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

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

Complexity emerges in measures of the marking dynamics in football games


My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

AutoRec: Autoencoders Meet Collaborative Filtering

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

International Conference on Information and Knowledge Management

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

A Neural Click Model for Web Search

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Sequence-based context-aware music recommendation

Feature-combination hybrid recommender systems for automated music playlist continuation

User modeling and user-adapted interaction

Carousel Personalization in Music Streaming Apps with Contextual Bandits


Communication-Efficient Learning of Deep Networks from Decentralized Data

FOCUS: Dealing with Label Quality Disparity in Federated Learning

A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

Quality Inference in Federated Learning with Secure Aggregation

FedProf: Selective Federated Learning with Representation Profiling


Stencil with Optimized Dataflow Architecture Compiler

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

Symposium on Field Programmable Gate Arrays

SODA: Stencil with Optimized Dataflow Architecture

International Conference on Computer Aided Design

Rapid Cycle-Accurate Simulator for High-Level Synthesis


Learning Perceptual Inference by Contrasting

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning


An official implementation of the MAF_HDA Tracker

Mask R-CNN

High-Speed Tracking with Kernelized Correlation Filters

IEEE transactions on pattern analysis and machine intelligence

Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management

Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion


Offline Dictionary-based Compression (Re-Pair, Recursive Pairing)

MR-RePair: Grammar Compression based on Maximal Repeats

A Grammar Compression Algorithm based on Induced Suffix Sorting

Grammar Compression By Induced Suffix Sorting

Practical Grammar Compression Based on Maximal Repeats


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

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Membership Leakage in Label-Only Exposures

Practical Blind Membership Inference Attack via Differential Comparisons

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


The official repository for Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems (TACL 2023)

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories

DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models

A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems


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


This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry

Faster Differentially Private Convex Optimization via Second-Order Methods


Benchmark for federated noisy label learning

mixup: Beyond Empirical Risk Minimization

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Robust Loss Functions under Label Noise for Deep Neural Networks

FedNoisy: Federated Noisy Label Learning Benchmark


A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy


Code for "Exploring Dynamic Selection of Branch Expansion Orders for Code Generation" (ACL 2021)

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms

Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models


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


Sentires: A Toolkit for Phrase-level Sentiment Analysis

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

Counterfactual Explainable Recommendation

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

Generate Natural Language Explanations for Recommendation

Explainable Fairness in Recommendation

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

LLMRec: Benchmarking Large Language Models on Recommendation Task

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation

International Conference on the Theory of Information Retrieval

Counterfactual Explanation for Fairness in Recommendation


Early access articles, Journals, and Conferences

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

IEEE Transactions on Industrial Electronics

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

IEEE Transactions on Instrumentation and Measurement

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

IEEE Transactions on Industrial Informatics

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks

Fault diagnosis of power transformers using graph convolutional network

CSEE电力与能源系统学报

A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis Based on Bearing Vibration Signal

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

Rolling Bearing Fault Diagnosis Based on Horizontal Visibility Graph and Graph Neural Networks

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis


Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

REALM: Retrieval-Augmented Language Model Pre-Training

Pre-training via Paraphrasing


Rust library for fast multi-pattern searching.

Fast Multiple String Matching Using Streaming SIMD Extensions Technology

String Processing and Information Retrieval

Optimal Packed String Matching

IARCS ANNUAL CONFERENCE ON FOUNDATIONS OF SOFTWARE TECHNOLOGY AND THEORETICAL COMPUTER SCIENCE (FSTTCS 2011)

Fast and flexible packed string matching

Towards optimal packed string matching


Data Distributional Properties Drive Emergent In-Context Learning in Transformers

The Transient Nature of Emergent In-Context Learning in Transformers

What needs to go right for an induction head? A mechanistic study of
  in-context learning circuits and their formation


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

IEEE transactions on neural networks and learning systems

Higher-order Structure Based Anomaly Detection on Attributed Networks

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE Transactions on Network Science and Engineering

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy


Calculate Average Nucleotide Identity (ANI) for prokaryotic genomes

Development of gut microbiota and bifidobacterial communities of neonates in the first 6 weeks and their inheritance from mother

Comparative genomic analyses of Lactobacillus rhamnosus isolated from Chinese subjects

Gene content dissimilarity for subclassification of highly similar microbial strains

Draft genome sequences for the obligate bacterial predators Bacteriovorax spp. of four phylogenetic clusters

Complete genome assembly of clinical multidrug resistant Bacteroides fragilis isolates enables comprehensive identification of antimicrobial resistance genes and plasmids


QI package for Mathematica

Quantum Computing: A Taxonomy, Systematic Review and Future Directions

Shadow process tomography of quantum channels

Secure quantum computing for healthcare sector: A short analysis

Fundamental limits on concentrating and preserving tensorized quantum resources


LLaMA: Open and Efficient Foundation Language Models

Few-shot Learning with Multilingual Language Models

Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU


Code repo for KDD'22 paper : 'RES: A Robust Framework for Guiding Visual Explanation'

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

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

Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations


Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Contrastive Learning Improves Model Robustness Under Label Noise


Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"

Lipschitz-constrained Unsupervised Skill Discovery

Unsupervised Skill Discovery with Bottleneck Option Learning

Learning to Discover Skills through Guidance


Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Discovering and Achieving Goals via World Models

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

Planning Goals for Exploration


This repository contains code for spatio-temporal deep learning on functional MRI data

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis

Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity


ONT assembly and Illumina polishing pipeline

Rapid de novo assembly of the European eel genome from nanopore sequencing reads

Genomic rearrangements generate hypervariable mini-chromosomes in host-specific isolates of the blast fungus

Identification and Isolation of Two Different Subpopulations Within African Swine Fever Virus Arm/07 Stock

First Report of New Delhi Metallo-β-Lactamase-6 (NDM-6) in a Clinical Acinetobacter baumannii Isolate From Northern Spain

Genomic rearrangements generate hypervariable mini-chromosomes in host-specific lineages of the blast fungus

Nutrient Scarcity in a New Defined Medium Reveals Metabolic Resistance to Antibiotics in the Fish Pathogen Piscirickettsia salmonis

Escherichia albertii as a Potential Enteropathogen in the Light of Epidemiological and Genomic Studies

Draft Genome Sequence of Novel Metschnikowia sp. Strain JCM 33374, a Nectar Yeast Isolated from a Bumblebee


Official implementation of DeepDFT model

Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids

DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction

Gaussian Plane-Wave Neural Operator for Electron Density Estimation


Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity

Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

Discovering Nonlinear Relations with Minimum Predictive Information Regularization

Machine Learning Incorporated With Causal Analysis for Short-Term Prediction of Sea Ice

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making

Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning


Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized
  Control

Feedback Efficient Online Fine-Tuning of Diffusion Models


Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray


:mag: python package to evaluate GANs for video generation

Improved Techniques for Training GANs

Assessing Generative Models via Precision and Recall

An empirical study on evaluation metrics of generative adversarial networks


This project is made to generate Polar decoders (unrolled decoders).

An Efficient, Portable and Generic Library for Successive Cancellation Decoding of Polar Codes

Energy consumption analysis of software polar decoders on low power processors

Transport Triggered Polar Decoders

International Symposium on Turbo Codes and Iterative Information Processing


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


Collection of diverse recommendation papers

Graph Meta Network for Multi-Behavior Recommendation

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

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks

Fairness among New Items in Cold Start Recommender Systems

Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs

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

Shifting Consumption towards Diverse Content on Music Streaming Platforms

Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation

Modeling Intent Graph for Search Result Diversification

Diverse User Preference Elicitation with Multi-Armed Bandits

I Want to Break Free! Recommending Friends from Outside the Echo Chamber

Dynamic Graph Construction for Improving Diversity of Recommendation


The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"

How Much Position Information Do Convolutional Neural Networks Encode?

Summarizing Videos with Attention

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

Progressive Video Summarization via Multimodal Self-supervised Learning

Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization

IEEE transactions on pattern analysis and machine intelligence


Scene Graph Generation: A Comprehensive Survey

SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D

2.5D Visual Relationship Detection


pKAI: a fast and interpretable deep learning approach to accurate electrostatics-driven pKa prediction

PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKaPredictions

Journal of chemical theory and computation

PKAD: a database of experimentally measured pKa values of ionizable groups in proteins

Database : the journal of biological databases and curation

PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pK(a) Calculations

Journal of chemical information and modeling

A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pKa Predictions in Proteins


Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

Learning Context-Free Languages with Nondeterministic Stack RNNs

Learning Hierarchical Structures with Differentiable Nondeterministic Stacks


C# Data Extraction for "Learning to Represent Edits"

Learning to Represent Edits

A Literature Study of Embeddings on Source Code

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning


PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Variational Graph Recurrent Neural Networks


"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Multitask Active Learning for Graph Anomaly Detection


This is a curated list of awesome ASV(Automatic Speaker Verification) Anti-Spoofing papers, libraries, datasets, and other resources.

The Catcher in the Field: A Fieldprint based Spoofing Detection for Text-Independent Speaker Verification

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Countermeasures to Replay Attacks: A Review

Anti-spoofing Methods for Automatic SpeakerVerification System


american fuzzy lop (copy of the source code for easy access)

Smart Greybox Fuzzing

ProFuzzBench: A Benchmark for Stateful Protocol Fuzzing

Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution

Corpus Distillation for Effective Fuzzing: A Comparative Evaluation

PSOFuzzer: A Target-Oriented Software Vulnerability Detection Technology Based on Particle Swarm Optimization

My Fuzzer Beats Them All! Developing a Framework for Fair Evaluation and Comparison of Fuzzers

MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation.

ReFuzz: A Remedy for Saturation in Coverage-Guided Fuzzing


Dense Passage Retrieval for Open-Domain Question Answering

Learning to Retrieve Passages without Supervision

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training

Exploring the Practicality of Generative Retrieval on Dynamic Corpora

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering


Jax/Flax implementation of DeiT and DeiT-III (ViT)

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

Training data-efficient image transformers & distillation through attention

DeiT III: Revenge of the ViT


UniSA: Unified Generative Framework for Sentiment Analysis

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

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


Analytic covariance of the galaxy power spectrum multipoles

Galaxy power spectrum multipoles covariance in perturbation theory

Cosmological constraints from BOSS with analytic covariance matrices

ELG Spectroscopic Systematics Analysis of the DESI Data Release 1

Fast computation of the non-Gaussian covariance of redshift-space galaxy power spectrum multipoles


Rowhammer.js - A Remote Software-Induced Fault Attack in JavaScript

SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks

PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses

CAn't Touch This: Practical and Generic Software-only Defenses Against Rowhammer Attacks

CATTmew: Defeating Software-Only Physical Kernel Isolation

IEEE Transactions on Dependable and Secure Computing


How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)

Certified Adversarial Robustness via Randomized Smoothing

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

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

Penalty Method for Inversion-Free Deep Bilevel Optimization


WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Fake Faces Identification via Convolutional Neural Network

PROCEEDINGS OF THE 6TH ACM WORKSHOP ON INFORMATION HIDING AND MULTIMEDIA SECURITY (IH&MMSEC'18)

Detecting Both Machine and Human Created Fake Face Images In the Wild

Proceedings of the 2nd International Workshop on Multimedia Privacy and Security

Poster: Towards Robust Open-World Detection of Deepfakes

Talking Face Generation with Expression-Tailored Generative Adversarial Network

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

Towards Photo-Realistic Facial Expression Manipulation

International Journal of Computer Vision


Binary Programming Formulation for Learning Classification Trees Using Cplex

Learning Optimal Decision Trees Using Caching Branch-and-Bound Search

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

Column generation based math-heuristic for classification trees

Learning Optimal Decision Trees from Large Datasets


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

Deep Learning Based Brain Tumor Segmentation: A Survey

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

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


Satellite Imagery Multi-vehicles Dataset (SIMD)

YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images

YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition

Improved Detection Method for Micro-Targets in Remote Sensing Images


Large-scale performance data of Hadoop and Spark on AWS

Scout: An Experienced Guide to Find the Best Cloud Configuration

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics


1st place solution for "xView2: Assess Building Damage" challenge.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Disaster mapping from satellites: damage detection with crowdsourced point labels

An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling


Edge-Augmented Graph Transformer

Benchmarking Graph Neural Networks

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Global Self-Attention as a Replacement for Graph Convolution

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

Gradformer: Graph Transformer with Exponential Decay


MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Orthogonal Over-Parameterized Training

Learning with Hyperspherical Uniformity


Online construction of run-length BWT (RLBWT) and r-index. Plus, online LZ77 parsing based on RLBWT.

Refining the r-index

A Faster Implementation of Online Run-Length Burrows-Wheeler Transform

An Optimal-Time RLBWT Construction in BWT-runs Bounded Space

Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing


Self-supervised learning method for motion prediction

Longformer: The Long-Document Transformer

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving

RedMotion: Motion Prediction via Redundancy Reduction


Models for automatic abstractive summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

Advances of Transformer-Based Models for News Headline Generation

Importance of Copying Mechanism for News Headline Generation


:fire: :muscle: RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-based Semantic Region Merging (IJCV 2022)

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection


[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Semi-supervised semantic segmentation needs strong, varied perturbations

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels


Adversarial Black box Explainer generating Latent Exemplars

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

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

Contextualizing Support Vector Machine Predictions

International Journal of Computational Intelligence Systems


Boltzmann machine learning for Potts models of biological data

Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families

adabmDCA: Adaptive Boltzmann machine learning for biological sequences

Aligning biological sequences by exploiting residue conservation and coevolution


Optimizing Sequential Experimental Design with Deep Reinforcement Learning

Variational Sequential Optimal Experimental Design using Reinforcement Learning


A list of academic papers related to Docker containers & Docker Hub

Too many images on DockerHub! How different are images for the same system?

A study of how Docker Compose is used to compose multi-component systems

An empirical study on self-admitted technical debt in Dockerfiles

Helping Your Docker Images to Spread Based on Explainable Models

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT III

SemiTagRec: A Semi-supervised Learning Based Tag Recommendation Approach for Docker Repositories

Explaining Successful Docker Images Using Pattern Mining Analysis

Software Technologies: Applications and Foundations

Latest Image Recommendation Method for Automatic Base Image Update in Dockerfile


Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".

Dense Passage Retrieval for Open-Domain Question Answering

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup


MADGRAD Optimization Method

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization

Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures

Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex Optimization


A Conflict-Based Search Framework for Multiobjective Multiagent Path Finding

Subdimensional Expansion for Multi-Objective Multi-Agent Path Finding

International Conference on Robotics and Automation

Multi-objective Conflict-based Search Using Safe-interval Path Planning


Level-Based Foraging (LBF): A multi-agent reinforcement learning environment

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Interaction


Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Deep Learning on Graphs: A Survey

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

Adversarial Attack and Defense on Graph Data: A Survey

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Graph Sanitation with Application to Node Classification

EDoG: Adversarial Edge Detection For Graph Neural Networks

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


Gaussian gradient magnitude filtering of astronomical images

A Galaxy-scale Fountain of Cold Molecular Gas Pumped by a Black Hole

Detecting edges in the X-ray surface brightness of galaxy clusters

Monthly Notices of the Royal Astronomical Society

Studying the merging cluster Abell 3266 with eROSITA

A new step forward in realistic cluster lens mass modelling: analysis of Hubble Frontier Field Cluster Abell S1063 from joint lensing, X-ray, and galaxy kinematics data

Monthly notices of the Royal Astronomical Society

Re-energisation of AGN head-tail radio galaxies in the galaxy cluster ZwCl0634.1+47474

The NuSTAR and Chandra View of CL 0217+70 and Its Tell-tale Radio Halo


Original Inference Repository of the Paper: "Domain-Adaptive Self-Supervised Pre-training for Face & Body Detection in Drawings"

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

Object Detection for Comics using Manga109 Annotations

ACFD: Asymmetric Cartoon Face Detector

Domain-Adaptive Self-Supervised Face & Body Detection in Drawings


Compressor for Nanopore Sequencing Reads

Portable nanopore-sequencing technology: Trends in development and applications

Reference-free lossless compression of nanopore sequencing reads using an approximate assembly approach

NanoSpring: reference-free lossless compression of nanopore sequencing reads using an approximate assembly approach


PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Confidence-Based Feature Imputation for Graphs with Partially Known Features


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

Inference Compilation and Universal Probabilistic Programming

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

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

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

Probabilistic Surrogate Networks for Simulators with Unbounded Randomness

Uncertain Evidence in Probabilistic Models and Stochastic Simulators


BingleSeq - A user-friendly R package for Bulk and Single-cell RNA-Seq data analyses

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Gene ontology analysis for RNA-seq: accounting for selection bias

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Zenodo (CERN European Organization for Nuclear Research)

DEBrowser: interactive differential expression analysis and visualization tool for count data

Transfer of regulatory knowledge from human to mouse for functional genomics analysis

Biochimica et biophysica acta. Gene regulatory mechanisms

DEApp: an interactive web interface for differential expression analysis of next generation sequence data

Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets

The histone chaperone HIRA promotes the induction of host innate immune defences in response to HSV-1 infection

BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis


Training MMD GANs.

Demystifying MMD GANs

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

IEEE International Conference on Computer Vision

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields

HoloGAN: Unsupervised learning of 3D representations from natural images


Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation

Very Deep Convolutional Networks for Large-Scale Image Recognition

Deep Residual Mixture Models

Kernel Stein Generative Modeling


Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge


[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction


National Electricity Market Optimiser


VQVAE for video prediction

Generating Diverse High-Fidelity Images with VQ-VAE-2

PixelSNAIL: An Improved Autoregressive Generative Model

Predicting Video with VQVAE


Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from  reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.


Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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

Improved Few-Shot Visual Classification

Improving Few-Shot Visual Classification with Unlabelled Examples

On Label-Eﬀicient Computer Vision: Building Fast and Effective Few-Shot Image Classifiers


Learning to Cluster. A deep clustering strategy.

Learning to cluster in order to transfer across domains and tasks

Multi-class Classification without Multi-class Labels

Neural network-based clustering using pairwise constraints

Learning to Cluster for Proposal-Free Instance Segmentation

Mining Entity Synonyms with Efficient Neural Set Generation


Tools for manipulating (exporting, extracting) AgERA5 data


Workflow for Building  Microsynteny Networks

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

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

Whole-genome microsynteny-based phylogeny of angiosperms

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

The Genome of Plasmodium gonderi: Insights into the Evolution of Human Malaria Parasites.

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

Transposable elements in Rosaceae: insights into genome evolution, expression dynamics, and Syntenic gene regulation

Ancient Duplication and Lineage-Specific Transposition Determine Evolutionary Trajectory of ERF Subfamily across Angiosperms

International journal of molecular sciences


Tools for working with second gen assemblies, fasta sequences, etc

Genome assembly and geospatial phylogenomics of the bed bug Cimex lectularius

Quality control of next-generation sequencing data without a reference

Genomic analysis of Sparus aurata reveals the evolutionary dynamics of sex-biased genes in a sequential hermaphrodite fish

Shared transcriptional control and disparate gain and loss of aphid parasitism genes

The Grayling Genome Reveals Selection on Gene Expression Regulation after Whole-Genome Duplication

Analysis of the genome of the New Zealand giant collembolan (Holacanthella duospinosa) sheds light on hexapod evolution

De Novo Transcriptome Analysis of the Common New Zealand Stick Insect Clitarchus hookeri (Phasmatodea) Reveals Genes Involved in Olfaction, Digestion and Sexual Reproduction

The Genome of the Great Gerbil Reveals Species-Specific Duplication of an MHCII Gene

Author Correction: Herbivorous turtle ants obtain essential nutrients from a conserved nitrogen-recycling gut microbiome

The genomic basis of host and vector specificity in non-pathogenic trypanosomatids


It contains a curated list of awesome RISC-V Resources.

Minimizing Computation in Convolutional Neural Networks

GhostRider

International Conference on Architectural Support for Programming Languages and Operating Systems

The Case for RISC-V in Space

RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors


PyTorch implementation of VoxResNet, Attention U-Net and V-Net

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation


This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Break It Down: A Question Understanding Benchmark


Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces

A Quadrature Approach for General-Purpose Batch Bayesian Optimization
  via Probabilistic Lifting


Deep Layer Aggregation in tensorflow

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

Deep Layer Aggregation


Optimizing Abstract Abstract Machines

Abstracting abstract control

Optimizing abstract abstract machines

International Conference on Functional Programming

Higher-order Demand-driven Program Analysis

ACM Transactions on Programming Languages and Systems

Automating Abstract Interpretation of Abstract Machines


Modular framework for property inference attacks on deep neural networks

Leakage of Dataset Properties in Multi-Party Machine Learning

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Formalizing Distribution Inference Risks


A sage module to create (convolved) conformal block table.

Bootstrapping the half-BPS line defect

Conformal Bootstrap Dashing Hopes of Emergent Symmetry

Bootstrapping the minimal 3D SCFT

Bootstrap bound for conformal multi-flavor QCD on lattice

autoboot: a generator of bootstrap equations with global symmetry

Bootstrap experiments on higher dimensional CFTs

International Journal of Modern Physics A

3d N=2
    ��=2
 minimal SCFTs from wrapped M5-branes

Bootstrap bound on extremal Reissner-Nordström black hole in AdS

Topologically twisted renormalization group flow and its holographic dual

Exclusion inside or at the border of conformal bootstrap continent


Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Temporal Difference Learning for Model Predictive Control

Simplified Temporal Consistency Reinforcement Learning


Atmospheric Retrieval Codes for Exoplanets

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

Identification of carbon dioxide in an exoplanet atmosphere

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

A comparison of exoplanet spectroscopic retrieval tools

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

EXOPLINES: Molecular Absorption Cross-section Database for Brown Dwarf and Giant Exoplanet Atmospheres

Constraining Mornings and Evenings on Distant Worlds: A new Semianalytical Approach and Prospects with Transmission Spectroscopy

The Detectability and Constraints of Biosignature Gases in the Near- and Mid-infrared from Transit Transmission Spectroscopy

How does thermal scattering shape the infrared spectra of cloudy exoplanets? A theoretical framework and consequences for atmospheric retrievals in the JWST era

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b


Large Language Model for MOEA

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search

Large Language Model for Multi-objective Evolutionary Optimization

Algorithm Evolution Using Large Language Model

L-AutoDA: Leveraging Large Language Models for Automated Decision-based
  Adversarial Attacks


Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."

TAME: Task Agnostic Continual Learning using Multiple Experts

Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning

Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures


Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets

TempQuestions: A Benchmark for Temporal Question Answering

Complex Temporal Question Answering on Knowledge Graphs

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

Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?


CrossRE: A Cross-Domain Dataset for Relation Extraction (Findings of EMNLP 2022)

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

Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction


“SURE: SUrvey REcipes for building reliable and robust deep networks” (CVPR 2024) & (ECCV 2024 OOD-CV Challenge Winner)

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

ImageNet-21K Pretraining for the Masses

CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise


Shorts is R package that creates short sprint profiles

A simple method for measuring power, force, velocity properties, and mechanical effectiveness in sprint running

Scandinavian journal of medicine & science in sports

The Difference Is in the Start: Impact of Timing and Start Procedure on Sprint Running Performance

The Journal of Strength and Conditioning Research

The National Football League Combine 40-yd Dash: How Important is Maximum Velocity?

Biomechanics of Training and Testing

Sprint Mechanical Characteristics of Female Soccer Players: A Retrospective Pilot Study to Examine a Novel Approach for Correction of Timing Gate Starts

shorts: An R Package for Modeling Short Sprints

International Journal of Strength and Conditioning


Reproducing CheXpert paper using the PyTorch library.

Densely Connected Convolutional Networks

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

International Journal of Computer Vision

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


Creative Commons Attribution 4.0 International

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

On the Art and Science of Machine Learning Explanations

Proposed Guidelines for the Responsible Use of Explainable Machine Learning

Safety design concepts for statistical machine learning components toward accordance with functional safety standards


Dense Passage Retrieval for Open-Domain Question Answering

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

AmbigQA: Answering Ambiguous Open-domain Questions

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction


Deep Hashing expermiments

FaceNet: A Unified Embedding for Face Recognition and Clustering

In Defense of the Triplet Loss for Person Re-Identification

Deep metric learning using Triplet network

Deep Supervised Hashing with Triplet Labels

DeepHashing using TripletLoss


Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type

Efficient Computation of Limit Spectra of Sample Covariance Matrices

Random Matrices: Theory and Applications

How to Reduce Dimension With PCA and Random Projections?

PCA from noisy, linearly reduced data: the diagonal case