Process periodic box of objects into mock survey.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

Going Beyond the Galaxy Power Spectrum: an Analysis of BOSS Data with
  Wavelet Scattering Transforms

Cosmic void exclusion models and their impact on the distance scale
  measurements from large scale structure

Precise Cosmological Constraints from BOSS Galaxy Clustering with a
  Simulation-Based Emulator of the Wavelet Scattering Transform


Combined roles for breeding synchrony, habitat and scale as predictors of extrapair paternity

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in
  Populus trichocarpa

A spatial approach to jointly estimate Wright’s neighborhood size and long-term effective population size

bioRxiv : the preprint server for biology

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology


Code for fair classification (SVM) and dimensionality reduction (PCA)

Convex Formulations for Fair Principal Component Analysis

Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms.

Distributionally Robust Fair Principal Components via Geodesic Descents


Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

Visualizing the Loss Landscape of Neural Nets

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

ReContrast: Domain-Specific Anomaly Detection via Contrastive
  Reconstruction


Source code for figure generation and analysis of the ENGAGE netzero scenario analysis

Cost and attainability of meeting stringent climate targets without overshoot


MEXPRESS is a data visualization tool designed for the visualization of TCGA expression, DNA methylation and clinical data.

MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data

MEXPRESS update 2019

Multi-omics analyses of tumor-associated immune-infiltrating cells with the novel immune checkpoint protein tyrosine phosphatase 1B (PTP1B) in extracellular matrix of brain-lower-grade-glioma (LGG) and uveal-melanoma (UVM)


SHMnet: Condition Assessment of Bolted Connection with Beyond Human-level Performance

SHMnet: Condition assessment of bolted connection with beyond human-level performance

A deep transfer learning network for structural condition identification
  with limited real-world training data

Deep Learning Algorithms for Structural Condition Identification with Limited Monitoring Data

International Conference on Smart Infrastructure and Construction 2019 (ICSIC)


Peak calling for 4C data

Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data

Benchmarking of 4C-seq pipelines based on real and simulated data


Program for estimating dN/dS in overlapping genes (OLGs)

Dynamically evolving novel overlapping gene as a factor in the SARS-CoV-2 pandemic

OLGenie: Estimating Natural Selection to Predict Functional Overlapping Genes

Computational methods for inferring location and genealogy of overlapping genes in virus genomes: approaches and applications


OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

LobsDICE: Offline Learning from Observation via Stationary Distribution
  Correction Estimation


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

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

Zenodo (CERN European Organization for Nuclear Research)

Challenges of Word Sense Alignment: Portuguese Language Resources


An effective algorithm for training a quadratic network

ReZero is All You Need: Fast Convergence at Large Depth

On Expressivity and Trainability of Quadratic Networks

Manifoldron: Direct Space Partition via Manifold Discovery


Communication-efficient MARL for CACC

Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning
  for Cooperative Adaptive Cruise Control


Single cell RNA Seq data analysis with quantitative phenotypes

Large-scale simultaneous measurement of epitopes and transcriptomes in single cells

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue

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

Single-cell transcriptional dynamics of flavivirus infection

Northstar enables automatic classification of known and novel cell types from tumor samples

Pancreas patch-seq links physiologic dysfunction in diabetes to single-cell transcriptomic phenotypes

Developmental diversity and unique sensitivity to injury of lung endothelial subtypes during postnatal growth


Neural network loss functions for regression and classification tasks that can say "I don't know".

Combating Label Noise in Deep Learning Using Abstention

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Regression Problems

Controlled Abstention Neural Networks for Identifying Skillful Predictions for Classification Problems


Official source code for  DDL-MVS: Depth Discontinuity Learning for MVS Networks

SMD-Nets: Stereo Mixture Density Networks

DDL-MVS: Depth Discontinuity Learning for Multi-View Stereo Networks


A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

LINE: Large-scale Information Network Embedding

Structural Deep Network Embedding

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

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


Federated Bilevel Optimization

Optimizing Millions of Hyperparameters by Implicit Differentiation

FedNest: Federated Bilevel, Minimax, and Compositional Optimization

SimFBO: Towards Simple, Flexible and Communication-efficient Federated
  Bilevel Learning


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Hadamard Product for Low-rank Bilinear Pooling

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects


Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Predicting Customer Value Using Clumpiness: From RFM to RFMC

A Joint Model of Usage and Churn in Contractual Settings

Modeling Purchasing Behavior with Sudden "Death": A Flexible Customer Lifetime Model

Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity

Leveraging purchase regularity for predicting customer behavior the easy way

International journal of research in marketing

“How to Project Customer Retention” Revisited: The Role of Duration Dependence

The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis


Predicting transcription factor binding in single cells through deep learning

Identification of transcription factor binding sites using ATAC-seq

Genome-Wide Temporal Profiling of Transcriptome and Open Chromatin of Early Cardiomyocyte Differentiation Derived From hiPSCs and hESCs


Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets

Mitigating Neural Network Overconfidence with Logit Normalization

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets


Code accompanying the notMIWAE paper

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data.


Calculate fastq reads and sequencing coverage

Salmonella Derby: A Comparative Genomic Analysis of Strains From Germany

Draft Genome Sequences of Multidrug-Resistant Shigella Strains Isolated from Diarrheal Patients in Bangladesh

Comparative Genomic Analysis of Antimicrobial-Resistant Escherichia coli from South American Camelids in Central Germany

Epidemiological Analysis on the Occurrence of Salmonella enterica Subspecies enterica Serovar Dublin in the German Federal State Schleswig-Holstein Using Whole-Genome Sequencing


Isotonic Distributional Regression (IDR)

Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

Isotonic distributional regression

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

Distributional (Single) Index Models

Decompositions of the mean continuous ranked probability score


Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

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

Deep Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement

Deep Multi-Frame MVDR Filtering for Binaural Noise Reduction

Multi-Task Audio Source Separation

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement

IEEE International Conference on Acoustics, Speech, and Signal Processing

Audio-visual Speech Separation with Adversarially Disentangled Visual Representation.

Time-domain speech super-resolution with GAN based modeling for
  telephony speaker verification


Fast but inaccurate adapter trimmer for Illumina reads

Neuronal brain-region-specific DNA methylation and chromatin accessibility are associated with neuropsychiatric trait heritability

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

Complete Chloroplast Genome Sequence of a Black Spruce (Picea mariana) from Eastern Canada

Portability of Scientific Workflows in NGS Data Analysis: A Case Study

Investigation of Genetic Causes in Patients with Congenital Heart Disease in Qatar: Findings from the Sidra Cardiac Registry

Genetic evaluation of cardiomyopathies in Qatar identifies enrichment of pathogenic sarcomere gene variants and possible founder disease mutations in the Arabs

Integrative omics analysis of the mechanisms underlying left ventricular diastolic dysfunction in cynomolgus monkeys with spontaneous type 2 diabetes mellitus


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


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

HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration

FLASH: Fast, Parallel, and Accurate Simulator for HLS

IEEE transactions on computer-aided design of integrated circuits and systems

Rapid Cycle-Accurate Simulator for High-Level Synthesis


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


Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment

International Conference on Computational Linguistics


Hydrogen Infrastructure Model for the analysis of spatially resolved hydrogen infrastructure pathways


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

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

Proposal Distribution Calibration for Few-Shot Object Detection


DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning, ICMLA 2020

Mixture Proportion Estimation and PU Learning: A Modern Approach


Deep Learning Research

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

Self-Normalizing Neural Networks

All you need is a good init


High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.

Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

Incremental Multimodal Surface Mapping via Self-Organizing Gaussian Mixture Models


Machine Learning for photo-Z

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Anomaly detection for machine learning redshifts applied to SDSS galaxies

Monthly notices of the Royal Astronomical Society

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

Three-dimensional Reconstruction of Weak-lensing Mass Maps with a Sparsity Prior. I. Cluster Detection


Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow

Asynchronous Methods for Deep Reinforcement Learning

Attentive Multi-Task Deep Reinforcement Learning


Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.

Text Detection and Recognition in the Wild: A Review

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection


Official implementation of RDST. A residual dense swin transformer for medical image super-resolution

Arbitrary Scale Super-Resolution for Medical Images

Lesion Focused Super-Resolution

A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning


Stencil with Optimized Dataflow Architecture Compiler

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

SODA: Stencil with Optimized Dataflow Architecture

Rapid Cycle-Accurate Simulator for High-Level Synthesis


Data split we use during the ASVspoof 2019 challenge

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Subband modeling for spoofing detection in automatic speaker
  verification

Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification


Calculates optimum interplanetary trajectories visitng a specifed sequence of planets or other celestial bodies.

Project Lyra: Catching 1I/‘Oumuamua–Using Nuclear Thermal Rockets

Project Lyra: Catching 1I/'Oumuamua -- Using Laser Sailcraft in 2030

Intermediate Points for Missions to Interstellar Objects Using Optimum
  Interplanetary Trajectory Software


JAX implementations of various deep reinforcement learning algorithms.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Deep Reinforcement Learning with Double Q-learning

Deep Recurrent Q-Learning for Partially Observable MDPs


Code for mixup contrastive learning

Mixing up contrastive learning: Self-supervised representation learning for time series

Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Software for the paper "Gender and Lexical Variation in Social Media" with David Bamman and Tyler Schnoebelen

Gender identity and lexical variation in social media

Confounds and Consequences in Geotagged Twitter Data

Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media

Conference of the European Chapter of the Association for Computational Linguistics


Command line tool for launching attacks against Machine Learning Malware detectors.

Malware Detection by Eating a Whole EXE

Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

secml-malware: Pentesting Windows Malware Classifiers with Adversarial
  EXEmples in Python


Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law

Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law

Gradient is All You Need?


More dimensions = More fun

Vision Transformer for Small-Size Datasets

Mega: Moving Average Equipped Gated Attention

2-D SSM: A General Spatial Layer for Visual Transformers


DeepTACT: predicting three-dimensional chromatin contacts via bootstrapping deep learning

DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal


Domain Adaptive Robust Faster R-CNN Implementation in Keras/TF

Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks

A Robust Learning Approach to Domain Adaptive Object Detection

Automatic adaptation of object detectors to new domains using self-training

d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding


Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge
  Evaluation Plan

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

Unifying Cosine and PLDA Back-ends for Speaker Verification

Self-Supervised Training of Speaker Encoder With Multi-Modal Diverse Positive Pairs

Prompt-driven Target Speech Diarization


The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

A ConvNet for the 2020s

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

PP-LCNet: A Lightweight CPU Convolutional Neural Network

HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network


an efficient method for detecting adversarial image examples

Explaining and Harnessing Adversarial Examples

Towards Evaluating the Robustness of Neural Networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

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


Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual information based on published statistical summaries.

Transparent Privacy is Principled Privacy

An In-Depth Examination of Requirements for Disclosure Risk Assessment

Making Differential Privacy Work for Census Data Users


Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21

Gated Path Planning Networks

Path Planning using Neural A* Search

Learning Heuristic Search via Imitation

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

[Reproducibility Report] Path Planning using Neural A* Search


Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models


도서 "핸즈온 비지도 학습 - 텐서플로, 케라스, 사이킷런을 활용한 알고리즘과 방법론, AI 활용 사례"의 코드 저장소입니다.

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs


Training Generative Adversarial Networks with Limited Data

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Instance-Conditioned GAN

Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data

Forensic Analysis of Synthetically Generated Western Blot Images

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps


Release for Improved Denoising Diffusion Probabilistic Models

Denoising Diffusion Implicit Models

Elucidating the Design Space of Diffusion-Based Generative Models

Extracting Training Data from Diffusion Models

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in
  Diffusion Probabilistic Models

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

Flexible Diffusion Modeling of Long Videos

Robust Learning Meets Generative Models: Can Proxy Distributions Improve
  Adversarial Robustness?

(Certified!!) Adversarial Robustness for Free!

Diffusion Models for Video Prediction and Infilling


Using NLP and reinforcement learning to build an AI capable of playing text-based games

Deep Reinforcement Learning with Double Q-learning

Language Understanding for Text-based Games Using Deep Reinforcement Learning

Deep Reinforcement Learning with a Natural Language Action Space


[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning

Efficient Neural Network Robustness Certification with General Activation Functions

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses


Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

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

DrImpute: imputing dropout events in single cell RNA sequencing data

Single-Cell Transcriptomics Bioinformatics and Computational Challenges


Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification

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

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals


Collection of Python scripts for parsing/analyses of RAD-seq data

Morphological stasis masks ecologically divergent coral species on tropical reefs

Phylogenomic analyses confirm a novel invasive North American Corbicula (Bivalvia: Cyrenidae) lineage

Ploidy variation and its implications for reproduction and population dynamics in two sympatric Hawaiian coral species

Population structure and clonal prevalence of scleractinian corals (Montipora capitata and Porites compressa) in Kaneohe Bay, Oahu


CscoreTool: Fast Hi-C Compartment Analysis at High Resolution

Application of Hi-C and other omics data analysis in human cancer and cell differentiation research

Live-cell three-dimensional single-molecule tracking reveals modulation of enhancer dynamics by NuRD


ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization

How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language

ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback


The HEPQPR.Qallse project encodes the HEP (ATLAS) pattern recognition problem into a QUBO and solves it using a D-Wave or other classical QUBO libraries (qbsolv, neal). Master's project (2019).

Particle track reconstruction with noisy intermediate-scale quantum
  computers

Charged particle reconstruction for future high energy colliders with
  Quantum Approximate Optimization Algorithm


A code generator for grid-based PDE solving on CPUs and GPUs

Constraining axion inflation with gravitational waves from preheating

Constraining Axion Inflation with Gravitational Waves across 29 Decades in Frequency

Constraining early dark energy with gravitational waves before recombination

Nonperturbative structure in coupled axion sectors and implications for direct detection

Probing the electroweak symmetry breaking history with gravitational waves

The Journal of high energy physics/The journal of high energy physics

Gauge preheating with full general relativity


code and data for the paper `Kernel Manifold Alignment for domain adaptation'

Kernel Manifold Alignment for Domain Adaptation

Zenodo (CERN European Organization for Nuclear Research)

Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization

Concept Discovery for The Interpretation of Landscape Scenicness

Machine learning and knowledge extraction


Theoretical models of kilonova presented in Kasen et al, Nature, 2017

Origin of the heavy elements in binary neutron-star mergers from a gravitational-wave event

Constraints on the ejecta of the GW170817 neutron star merger from its electromagnetic emission

El-CID: a filter for gravitational-wave electromagnetic counterpart identification


Code for paper "Adversarial Support Alignment"

Domain-Adversarial Training of Neural Networks

A DIRT-T Approach to Unsupervised Domain Adaptation

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Adversarial Support Alignment


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Text Transformations in Contrastive Self-Supervised Learning: A Review

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs


Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

Proceedings of the AAAI Conference on Artificial Intelligence

One Policy to Dress Them All: Learning to Dress People with Diverse
  Poses and Garments


Domain Adaptation for Visual Applications: A Comprehensive Survey

Domain Generalization for Object Recognition with Multi-task Autoencoders

Zero-shot Domain Adaptation without Domain Semantic Descriptors

Meta-Learning for Relative Density-Ratio Estimation

Few-shot Learning for Unsupervised Feature Selection


linelist generator

The R-process Alliance: First Release from the Southern Search for R-process-enhanced Stars in the Galactic Halo

The R-Process Alliance: First Release from the Northern Search for r-process-enhanced Metal-poor Stars in the Galactic Halo

The R-Process Alliance: 2MASS J09544277+5246414, the Most Actinide-enhanced R-II Star Known

TheR-Process Alliance: Fourth Data Release from the Search forR-process-enhanced Stars in the Galactic Halo

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

Chemo-dynamics of outer halo dwarf stars, including Gaia-Sausage and Gaia-Sequoia candidates

linemake: An Atomic and Molecular Line List Generator

The R-process Alliance: First Magellan/MIKE Release from the Southern
  Search for R-Process-enhanced Stars

The Southern Stellar Stream Spectroscopic Survey (S5): Chemical Abundances of Seven Stellar Streams

The Pristine survey IX. CFHT ESPaDOnS spectroscopic analysis of 115 bright metal-poor candidate stars

Chemical Abundance Analysis of Tucana III, the Second r-process Enhanced Ultra-faint Dwarf Galaxy


spmoran: An R package for spatial regression modeling

Spatial regression modeling using the spmoran package: Boston housing price data examples

Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data

Transformation-based generalized spatial regression using the spmoran package: Case study examples


Off-Policy Deep Reinforcement Learning without Exploration

Conservative Q-Learning for Offline Reinforcement Learning

COMBO: Conservative Offline Model-Based Policy Optimization

PLAS: Latent Action Space for Offline Reinforcement Learning


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


Benchmarking

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer

Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites

Unexpected Improvements to Expected Improvement for Bayesian
  Optimization


Machine Learning with Membership Privacy using Adversarial Regularization

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

Practical Blind Membership Inference Attack via Differential Comparisons

Membership Inference Attacks and Defenses in Classification Models

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY '21)

Membership Inference Attacks and Defenses in Neural Network Pruning

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


Frequency and time-frequency analysis for irregularly sampled time series

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

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. II. The Swift/BAT Long Gamma-Ray Bursts

A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 2: Extension to time–frequency analysis


LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Fonduer: Knowledge Base Construction from Richly Formatted Data

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents

Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction

Visual Segmentation for Information Extraction from Heterogeneous Visually Rich Documents

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Improving information extraction from visually rich documents using visual span representations


Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)

Evaluating progress in automatic chest X-ray radiology report generation

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning


Lifelong Learning of Graph Neural Networks for Open-World Node Classification

Graph Lifelong Learning: A Survey

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes


Source code for <Sequence-Level Training for Non-Autoregressive Neural Machine Translation>.

Sequence-Level Knowledge Distillation

Levenshtein Transformer

Relational Surrogate Loss Learning


Engagement Detection, including facial detection and emotion recognition, using CNNs/LSTMs.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Xception: Deep Learning with Depthwise Separable Convolutions


Collection and Implementation of Mobile-based Vision Transformer in Pytorch

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Separable Self-attention for Mobile Vision Transformers

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and
  Effective Fusion of Local, Global and Input Features


See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs

cGANs with Multi-Hinge Loss

Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent

S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels


Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

Saath: Speeding up CoFlows by Exploiting the Spatial Dimension


Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Adversarial Semantic Collisions

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural
  Ranking Models


Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).

Overfitting in adversarially robust deep learning

Reliable Adversarial Distillation with Unreliable Teachers

LTD: Low Temperature Distillation for Robust Adversarial Training


Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

Attention Is All You Need

Provably efficient machine learning for quantum many-body problems


Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images

Detection of False Positive and False Negative Samples in Semantic Segmentation


This repository is  the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)

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

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

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

Hyperspectral and Multispectral Image Fusion Using the Conditional
  Denoising Diffusion Probabilistic Model


Official code repository for the EMNLP 2021 paper

Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization

Character-centric Story Visualization via Visual Planning and Token Alignment

Improved Visual Story Generation with Adaptive Context Modeling

Story Visualization by Online Text Augmentation with Context Memory


Image-to-image translation, knowledge transfer

A Style-Based Generator Architecture for Generative Adversarial Networks

Large Scale GAN Training for High Fidelity Natural Image Synthesis

DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs


Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)

Syntax-guided Controlled Generation of Paraphrases

AESOP: Paraphrase Generation with Adaptive Syntactic Control

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

MVP: Multi-task Supervised Pre-training for Natural Language Generation


Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons

Immunological differences between colorectal cancer and normal mucosa uncover a prognostically relevant immune cell profile

Fibroblast activation protein identifies Consensus Molecular Subtype 4 in colorectal cancer and allows its detection by 68Ga-FAPI-PET imaging

Gene expression profiles in genome instability-based classes of colorectal cancer

Prognosis and Sensitivity of Adjuvant Chemotherapy in Mucinous Colorectal Adenocarcinoma without Distant Metastasis

Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer

Integrated multi-omics analysis reveals miR-20a as a regulator for metabolic colorectal cancer

Circular RNA in Chemonaive Lymph Node Negative Colon Cancer Patients

Primary Colorectal Tumor Displays Differential Genomic Expression Profiles Associated with Hepatic and Peritoneal Metastases


Sequential recommendation algorithm

Translation-based Recommendation

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

Sequential Recommendation via Stochastic Self-Attention

Consistency-Aware Recommendation for User-Generated Item List Continuation


Hyperspectral Super-Resolution by Coupled Spectral Unmixing

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

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

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

Self-Dictionary Regression for Hyperspectral Image Super-Resolution

Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing

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


Solving Imperfect-Information Games via Discounted Regret Minimization

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent

Stable-Predictive Optimistic Counterfactual Regret Minimization

Meta-Learning in Games

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms

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


Pipeline to detect PAVs (presence/absence variations) in genome comparison using whole genome alignment.

A mini foxtail millet with an Arabidopsis-like life cycle as a C4 model system

The Origins and Vulnerabilities of Two Transmissible Cancers in Tasmanian Devils

scanPAV: a pipeline for extracting presence–absence variations in genome pairs

Telomere-to-telomere and gap-free genome assembly of a susceptible grapevine species (Thompson Seedless) to facilitate grape functional genomics


Targeted in situ genome-wide profiling with high efficiency for low cell numbers

C/EBPB-dependent adaptation to palmitic acid promotes tumor formation in hormone receptor negative breast cancer

UTX promotes CD8+ T cell-mediated antiviral defenses but reduces T cell durability


Type inference algorithms and intuitionistic propositional theorem provers solving type inhabitation problems

A Combinatorial Testing Framework for Intuitionistic Propositional Theorem Provers

Practical Aspects of Declarative Languages

Modality Definition Synthesis for Epistemic Intuitionistic Logic via a
  Theorem Prover

Abductive Reasoning in Intuitionistic Propositional Logic via Theorem Synthesis


Code release for ICLR 2021 paper "Generalised Multimodal ELBO"

Generalized Multimodal ELBO

Multi-modal Latent Diffusion


Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Fixing Data Augmentation to Improve Adversarial Robustness

International Conference on Machine Learning

Efficient and Effective Augmentation Strategy for Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE transactions on information forensics and security


Data and code used in our NAACL'19 paper "Selective Attention for Context-aware Neural Machine Translation"

A Simple and Effective Unified Encoder for Document-Level Machine Translation

Meeting of the Association for Computational Linguistics

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation

P-Transformer: Towards Better Document-to-Document Neural Machine Translation

Document-Level Neural Machine Translation Using BERT as Context Encoder

International Joint Conference on Natural Language Processing

A Case Study on Context Encoding in Multi-Encoder based Document-Level
  Neural Machine Translation


10x Genomics Linked-Read Alignment, Variant Calling, Phasing, and Structural Variant Calling

Benchmarking challenging small variants with linked and long reads

Genome sequence of Malania oleifera, a tree with great value for nervonic acid production

Improved contiguity of the threespine stickleback genome using long-read sequencing

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Hap10: reconstructing accurate and long polyploid haplotypes using linked reads

A chromosome-level reference genome for the common octopus,Octopus vulgaris(Cuvier, 1797)

Gene disruption by structural mutations drives selection in US rice breeding over the last century

Mapping the Complex Genetic Landscape of Human Neurons

bioRxiv : the preprint server for biology

Pangenome reconstruction in rats enhances genotype-phenotype mapping and novel variant discovery


High throughput sequencing analysis tools

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

Environmental Breviatea harbour mutualistic Arcobacter epibionts

Giraffe genome sequence reveals clues to its unique morphology and physiology

De novo transcriptome assembly and analysis of differentially expressed genes of two barley genotypes reveal root-zone-specific responses to salt exposure

Use of whole genome sequencing to investigate an increase in Neisseria gonorrhoeae infection among women in urban areas of Australia

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Gene and genome-centric analyses of koala and wombat fecal microbiomes point to metabolic specialization for Eucalyptus digestion

Repeat-Driven Generation of Antigenic Diversity in a Major Human Pathogen, Trypanosoma cruzi

Frontiers in cellular and infection microbiology

Intra-host sequence variability in human papillomavirus

Papillomavirus research (Amsterdam, Netherlands)


NetTCR-2.0. Sequence-based prediction of peptide-TCR binding

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

Attentive Variational Information Bottleneck for TCR–peptide interaction prediction


Catchment Attributes and Meteorology for Large-sample Studies

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

LamaH | La rge-Sa m ple D a ta for H ydrology and Environmental Sciences for Central Europe


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

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

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery

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

On the Convergence of Continuous Constrained Optimization for Structure Learning

MissDAG: Causal Discovery in the Presence of Missing Data with
  Continuous Additive Noise Models

Optimizing NOTEARS Objectives via Topological Swaps

Learning DAGs from Data with Few Root Causes

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization


[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation


Calculate Krippendorff's Alpha on any DataFrame

Gossip drives vicarious learning and facilitates social connection

Trusting deep learning natural-language models via local and global explanations

TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection
  Tasks

Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction


[MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

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

Self-Challenging Improves Cross-Domain Generalization

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation


Visual Navigation with Spatial Attention

Deep Residual Learning for Image Recognition

Visual Semantic Navigation using Scene Priors

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning


FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

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

Toward Fair Recommendation in Two-sided Platforms

Vertical Allocation-based Fair Exposure Amortizing in Ranking


Deep Generalized Method of Moments for Instrumental Variable Analysis

Instrumental variable regression via kernel maximum moment loss

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Biased Stochastic Gradient Descent for Conditional Stochastic Optimization

Causal Gradient Boosting: Boosted Instrumental Variable Regression

Instrumental Variables in Causal Inference and Machine Learning: A
  Survey


Creative Commons Attribution 4.0 International

Overview of the TREC 2019 deep learning track

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime

Conformer-Kernel with Query Term Independence for Document Retrieval

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track


Differential evolution global optimization in Python.

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

Monthly Notices of the Royal Astronomical Society

An Ultra-short Period Rocky Super-Earth with a Secondary Eclipse and a Neptune-like Companion around K2-141

The GAPS programme with HARPS-N at TNG XI. Pr~0211 in M~44: the first multi-planet system in an open cluster

A Sub-Neptune-sized Planet Transiting the M2.5 Dwarf G 9-40: Validation with the Habitable-zone Planet Finder

A Low-mass Exoplanet Candidate Detected by K2 Transiting the Praesepe M Dwarf JS 183

A possibly inflated planet around the bright young star DS Tucanae A

Multicolour photometry for exoplanet candidate validation

Masses and radii for the three super-Earths orbiting GJ 9827, and implications for the composition of small exoplanets

Monthly notices of the Royal Astronomical Society

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) -- II. Search for exoplanets in open clusters of the southern ecliptic hemisphere and their frequency

The GAPS Programme at TNG XXI -- A GIARPS case-study of known young planetary candidates: confirmation of HD 285507 b and refutation of AD Leo b


CORRO code

Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL


mSimCSE: Multilingual SimCSE

SimCSE: Simple Contrastive Learning of Sentence Embeddings

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings


LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

Bubble Planner: Planning High-speed Smooth Quadrotor Trajectories using Receding Corridors

Distributed Swarm Trajectory Optimization for Formation Flight in Dense Environments

A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization

Towards Efficient Trajectory Generation for Ground Robots beyond 2D Environment

Catch Planner: Catching High-Speed Targets in the Flight

Polynomial-Based Online Planning for Autonomous Drone Racing in Dynamic Environments

Robo-centric ESDF: A Fast and Accurate Whole-body Collision Evaluation
  Tool for Any-shape Robotic Planning

Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization

Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels

IEEE/RJS International Conference on Intelligent RObots and Systems


An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.

LLaMA: Open and Efficient Foundation Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

ExpertPrompting: Instructing Large Language Models to be Distinguished
  Experts


Old implementation and demonstration of the Capsule-Forensics. The Capsule-Forensics-v2 has been released here: https://github.com/nii-yamagishilab/capsule-forensics-v2

Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Use of a Capsule Network to Detect Fake Images and Videos

Block shuffling learning for Deepfake Detection


Active Learning for Graph Embedding

Active Learning for Graph Embedding

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.


rhierbaps: R implementation of hierBAPS

ModelFinder: fast model selection for accurate phylogenetic estimates

phytools: an R package for phylogenetic comparative biology (and other things)

ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

Cross-transmission Is Not the Source of New Mycobacterium abscessus Infections in a Multicenter Cohort of Cystic Fibrosis Patients

Genetic Characterization of Extensively Drug-Resistant Shigella sonnei Infections, Spain, 2021-2022


DeepInf: Social Influence Prediction with Deep Learning

Deep Learning on Graphs: A Survey

Graph Domain Adaptation: A Generative View


Estimation of Single-Cell Potency with Single Cell Entropy

Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data

Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT)

Methods in molecular biology (Clifton, N.J.)

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight

Charting cellular differentiation trajectories with Ricci flow


A continually expanding collection of RNA-seq tools

fastp: an ultra-fast all-in-one FASTQ preprocessor

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

miRDB: an online database for prediction of functional microRNA targets

rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq data

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

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Multi-omics Data Integration, Interpretation, and Its Application

ComBat-seq: batch effect adjustment for RNA-seq count data

ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains

ChEA3: transcription factor enrichment analysis by orthogonal omics integration


TCyb 2018: Graph learning for multiview clustering

Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering


[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

mixup: Beyond Empirical Risk Minimization

AutoAugment: Learning Augmentation Policies from Data

Improved Regularization of Convolutional Neural Networks with Cutout


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

Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

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


Tensor ring low-rank factors (AAAI 2019)

Dictionary Learning with Low-rank Coding Coefficients for Tensor
  Completion

Randomized algorithms for fast computation of low rank tensor ring model

Machine learning: science and technology

Noisy Tensor Completion via Low-rank Tensor Ring


Codes for the benchmark experiments in the paper "Self-supervised Learning in Remote Sensing: A Review"

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

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


Code of 'Interaction-and-aggregation network for person re-identification' (CVPR2019), and 'IAUnet: Global Context-Aware Feature Learning for Person Re-Identification' (TNNLS 2021).

Interaction-and-Aggregation Network for Person Re-identification

Temporal Complementary Learning for Video Person Re-Identification

IAUnet: Global Context-Aware Feature Learning for Person Reidentification


Automatically exported from code.google.com/p/miyoshi

Choosing the Optimal Numerical Precision for Data Assimilation in the Presence of Model Error

Journal of advances in modeling earth systems

Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere

An ensemble Kalman filter data assimilation system for the whole neutral atmosphere

Non-Gaussian statistics in global atmospheric dynamics: a study with a 10 240-member ensemble Kalman filter using an intermediate atmospheric general circulation model

Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models

Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem

An update on the 4D-LETKF data assimilation system for the whole neutral atmosphere

Using Observations near the Poles in the AFES-LETKF Data Assimilation System

Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0)

Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?


End-to-end Speech Translation

Attention Is All You Need

Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation

Consecutive Decoding for Speech-to-text Translation


Pariwise analysis of GWAS

Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits

Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in migraine


DCGAN on 256x256 pictures

Generative Adversarial Networks

Improved Training of Wasserstein GANs

Improved Techniques for Training GANs


PyTorch Package For Quasimetric Learning

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality

Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning

On the Learning and Learnability of Quasimetrics

Improved Representation of Asymmetrical Distances with Interval
  Quasimetric Embeddings


This repository contains C++ source code used in several publications in the area of route planning.

Real-time Traffic Assignment Using Engineered Customizable Contraction Hierarchies

ACM journal of experimental algorithmics

SEA - Real-Time Traffic Assignment Using Fast Queries in Customizable Contraction Hierarchies.

Efficient Calculation of Microscopic Travel Demand Data with Low Calibration Effort

Advances in Geographic Information Systems

Nearest-Neighbor Queries in Customizable Contraction Hierarchies and Applications


Reinforcement Learning Methods with PyTorch

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Deep Reinforcement Learning with Double Q-learning

Sliced Multi-Marginal Optimal Transport


Decision Transformer: Reinforcement Learning via Sequence Modeling

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Diffusion Policies as an Expressive Policy Class for Offline
  Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Why So Pessimistic? Estimating Uncertainties for Offline RL through
  Ensembles, and Why Their Independence Matters


Efficient Active Search

Neural Combinatorial Optimization with Reinforcement Learning

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

Efficient Active Search for Combinatorial Optimization Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization


Masked Modeling Duo: Towards a Universal Audio Pre-training Framework

FSD50K: An Open Dataset of Human-Labeled Sound Events

Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input


Digital Image Correlation using a Fast Fourier Transform approach

Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities

From Toppling to Sliding: Progressive Evolution of the Moosfluh Landslide, Switzerland

Journal of geophysical research. Earth surface

Monitoring and analysis of active rockslide-glacier interactions (Moosfluh, Switzerland)

Present-day gully activity in Sisyphi Cavi, Mars - Flow-like features and block movements

Recharge response and kinematics of an unusual earthflow in Liechtenstein

Potential of multisensor assessment using digital image correlation for landslide detection and monitoring


[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications


A rust implementation of AlphaZero algorithm

Thinking Fast and Slow with Deep Learning and Tree Search

Monte-Carlo Tree Search as Regularized Policy Optimization

Ordinal Monte Carlo Tree Search


This is the GitHub page for publicly available emotional speech data.

Seen and Unseen Emotional Style Transfer for Voice Conversion with A New Emotional Speech Dataset

Emotional Voice Conversion: Theory, Databases and ESD


R-CNN: Regions with Convolutional Neural Network Features

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Taking a Deeper Look at Pedestrians

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

Context-aware CNNs for person head detection

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks

Analysing Domain Shift Factors between Videos and Images for Object Detection

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

IEEE transactions on intelligent transportation systems

Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions

European Association for Machine Translation Conferences/Workshops

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista iberoamericana de automática e informática industrial


sam2pairwise takes a SAM file and uses the CIGAR and MD tag to reconstruct the pairwise alignment of each read.

High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9

BrownieAligner: accurate alignment of Illumina sequencing data to de Bruijn graphs

ampliconDIVider: detection of CRISPR-induced variants in PCR amplicons


Non-parametrics for Causal Inference

Estimating individual treatment effect: generalization bounds and algorithms

Learning Representations for Counterfactual Inference

A Survey on Causal Inference

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Treatment effect estimation with disentangled latent factors

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation

International Conference on Information and Knowledge Management

Evaluation Methods and Measures for Causal Learning Algorithms

Towards unique and unbiased causal effect estimation from data with hidden variables

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

Learning Interpretable Models with Causal Guarantees


The code repo contains multiple code reproduction processes of various SOTA deep learning algorithms

Attention Is All You Need

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Off-Policy Deep Reinforcement Learning without Exploration

Distributed Distributional Deterministic Policy Gradients

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets


Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.

Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation

Efficient and Transferable Adversarial Examples from Bayesian Neural
  Networks


Urdu Language Speech Emotional Corpus

Cross corpus multi-lingual speech emotion recognition using ensemble learning

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages

Introducing the Urdu-Sindhi Speech Emotion Corpus: A Novel Dataset of Speech Recordings for Emotion Recognition for Two Low-Resource Languages

International journal of advanced computer science and applications/International journal of advanced computer science & applications


[IJCAI 2023] Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

Expectation-Maximization Contrastive Learning for Compact
  Video-and-Language Representations

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning


Documentation for every thing, everything documented

MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan

Early or Late Gestational Exposure to Maternal Immune Activation Alters Neurodevelopmental Trajectories in Mice: An Integrated Neuroimaging, Behavioral, and Transcriptional Study

Investigating the “two-hit hypothesis”: Effects of prenatal maternal immune activation and adolescent cannabis use on neurodevelopment in mice

Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer’s disease

Brain Areas Critical for Picture Naming: A Systematic Review and Meta-Analysis of Lesion-Symptom Mapping Studies

Neurobiology of language (Cambridge, Mass.)

Morphologic alterations of the fear circuitry: the role of sex hormones and oral contraceptives

Variation in subcortical anatomy: relating interspecies differences, heritability, and brain-behavior relationships


Hindsight policy gradients

Hindsight policy gradients

Learning One Representation to Optimize All Rewards

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning


PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

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

International Conference on Acoustics, Speech, and Signal Processing

Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens


The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

Reinforcement Learning on Graphs: A Survey


This is a platform containing the datasets and federated learning algorithms in IoT environments.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Learning with Personalization Layers

Adaptive Personalized Federated Learning

Federated Evaluation of On-device Personalization

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring


Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

Diverse Policy Optimization for Structured Action Space


Conditional Image Synthesis With Auxiliary Classifier GANs

Skip-Thought Vectors

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network.


The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".

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

Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation

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


Genetic maps interpolated to sites in the 1000 Genomes project

IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes

Extended data: Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx

Zenodo (CERN European Organization for Nuclear Research)

Endogenization and excision of human herpesvirus 6 in human genomes

Genome-Wide Linkage Analysis of Large Multiple Multigenerational Families Identifies Novel Genetic Loci for Coronary Artery Disease

SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification

East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease


code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for
  Generalizable Medical Image Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image
  Segmentation


A simple codebase for image-based person re-id

Learning Compatible Embeddings

Motion Feature Aggregation for Video-Based Person Re-Identification

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


Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

A Simple Framework for Uncertainty in Contrastive Learning


This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency

Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios

Quantization Backdoors to Deep Learning Commercial Frameworks

Horizontal Class Backdoor to Deep Learning

HaS-Net: A Heal and Select Mechanism to Securely Train DNNs against Backdoor Attacks


Port of Facebook's LLaMA model in C/C++

Training language models to follow instructions with human feedback

LLaMA: Open and Efficient Foundation Language Models


implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

Implicit Reparameterization Gradients

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Dirichlet Variational Autoencoder

Improving Neural Topic Models using Knowledge Distillation


Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Biogeography-Based Optimization of RC structures including static soil-structure interaction

Assessing Ranking and Effectiveness of Evolutionary Algorithm
  Hyperparameters Using Global Sensitivity Analysis Methodologies

Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design


Easy to use SOTA Top-Down Multi-person Pose Estimation Models in PyTorch

Deep High-Resolution Representation Learning for Visual Recognition

Polarized Self-Attention: Towards High-quality Pixel-wise Regression

Human Pose Regression with Residual Log-likelihood Estimation

SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation


[CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios


Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

Streaming Sparse Gaussian Process Approximations

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Sequential Gaussian Processes for Online Learning of Nonstationary Functions

Adaptive Sparse Gaussian Process


Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22

CTRL: A Conditional Transformer Language Model for Controllable Generation

PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding

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

Which Discriminator for Cooperative Text Generation?

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

Décodage guidé par un discriminateur avec le Monte Carlo Tree Search pour la génération de texte contrainte (Discriminator-guided decoding with Monte Carlo Tree Search for constrained text generation )


Deep Learning Meets SAR

PolSF: PolSAR image dataset on San Francisco

PolSF: PolSAR Image Datasets on San Francisco

IFIP advances in information and communication technology


Structured Edge Detection Toolbox

BING: Binarized normed gradients for objectness estimation at 300fps

Getting to Know Low-light Images with The Exclusively Dark Dataset

Learning to track for spatio-temporal action localization

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

International Conference on Robotics and Automation

Real-Time Referring Expression Comprehension by Single-Stage Grounding
  Network

Learning layer-specific edges for segmenting retinal layers with large deformations

Neuro-inspired edge feature fusion using Choquet integrals

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset


VM-UNet: Vision Mamba UNet for Medical Image Segmentation

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image
  Segmentation

VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation


AnomalyDAE (ICASSP2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

AnomalyDAE: Dual autoencoder for anomaly detection on attributed
  networks

DAGAD: Data Augmentation for Graph Anomaly Detection


Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset


A library for reinforcement learning research

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Batch Policy Learning under Constraints


Adds SPICE metric to coco-caption evaluation server codes

CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

Recurrent Fusion Network for Image Captioning

Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples

COMIC: Towards A Compact Image Captioning Model with Attention


The Marginal Value of Adaptive Gradient Methods in Machine Learning

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

Disentangling Adaptive Gradient Methods from Learning Rates

Multi-Grained Chinese Word Segmentation

Empirical Methods in Natural Language Processing

A Streaming Approach For Efficient Batched Beam Search

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


An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)

Learning Gradient Fields for Molecular Conformation Generation

Graph-based Molecular Representation Learning

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design


A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

Quantum Chemistry in the Age of Quantum Computing

Evaluating analytic gradients on quantum hardware

Circuit-centric quantum classifiers

Quantum optimization using variational algorithms on near-term quantum devices

Quantum Boltzmann Machine

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Quantum autoencoders for efficient compression of quantum data

Quantum Generative Adversarial Learning

Quantum generative adversarial networks

Qubit-ADAPT-VQE: An Adaptive Algorithm for Constructing Hardware-Efficient Ansätze on a Quantum Processor


Frame Flexible Network (CVPR2023)

TSM: Temporal Shift Module for Efficient Video Understanding

UniFormer: Unifying Convolution and Self-Attention for Visual Recognition


Multiwavelets-based operator model

Multiwavelet-based Operator Learning for Differential Equations

Transformer for Partial Differential Equations' Operator Learning

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


A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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


Random quantum circuits for circuit sampling with superconducting qubits

Quantum supremacy using a programmable superconducting processor

Hyper-optimized tensor network contraction

A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware

Quantum Supremacy Is Both Closer and Farther than It Appears

General-Purpose Quantum Circuit Simulator with Projected Entangled-Pair States and the Quantum Supremacy Frontier

Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction
  Deferral

Alibaba Cloud Quantum Development Kit: Large-Scale Classical Simulation of Quantum Circuits

Just Like the Real Thing: Fast Weak Simulation of Quantum Computation

Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation

Faster Schrödinger-style simulation of quantum circuits


Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Clinical-Longformer and Clinical-BigBird: Transformers for long clinical
  sequences

A Comparative Study of Pretrained Language Models for Long Clinical Text

Journal of the American Medical Informatics Association : JAMIA


Creative Commons Attribution Share Alike 4.0 International

Cyber Intelligence Ontology

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A review of knowledge graph application scenarios in cyber security


BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Sequential Recommendation via Stochastic Self-Attention

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

DiffuRec: A Diffusion Model for Sequential Recommendation

Improving Transformer-based Sequential Recommenders through Preference Editing

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

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


CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Multi-View Radar Semantic Segmentation

Deep learning for radar data exploitation of autonomous vehicle


[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting

TS2Vec: Towards Universal Representation of Time Series

A Survey on Time-Series Pre-Trained Models

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

Utilizing Expert Features for Contrastive Learning of Time-Series
  Representations

Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

DARTS: Differentiable Architecture Search

3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification.


Notes on single-cell Hi-C technologies, tools, and data

Single-cell Hi-C reveals cell-to-cell variability in chromosome structure

3D structures of individual mammalian genomes studied by single-cell Hi-C

Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells

Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition

Cell-cycle dynamics of chromosomal organization at single-cell resolution

Cell cycle dynamics of chromosomal organisation at single-cell resolution

Massively multiplex single-cell Hi-C

Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin

Three-dimensional genome structures of single diploid human cells

Simultaneous profiling of 3D genome structure and DNA methylation in single human cells


Library implementing the Fan-Vercauteren homomorphic encryption scheme

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

SoK: Fully Homomorphic Encryption Compilers

A systematic review of homomorphic encryption and its contributions in healthcare industry

Somewhat/Fully Homomorphic Encryption: Implementation Progresses and Challenges

Hail the Closest Driver on Roads: Privacy-Preserving Ride Matching in Online Ride Hailing Services

Road Distance Computation Using Homomorphic Encryption in Road Networks

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

Encrypted Operator Computing: a novel scheme for computation on
  encrypted data

A Tutorial Introduction to Lattice-based Cryptography and Homomorphic
  Encryption


Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

Multitask Prompted Training Enables Zero-Shot Task Generalization

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering


Hierarchical Graph Pooling with Structure Learning

Boosting Graph Structure Learning with Dummy Nodes

Protein Fold Classification using Graph Neural Network and Protein Topology Graph

Partial Graph Reasoning for Neural Network Regularization


SCAFFOLD and FedAvg implementation

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Over-the-Air Federated Learning From Heterogeneous Data

On Analog Gradient Descent Learning Over Multiple Access Fading Channels


Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Bayesian Importance of Features (BIF)


Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote-Sensing Images


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

Product Quantization for Nearest Neighbor Search

IEEE transactions on pattern analysis and machine intelligence

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

The Inverted Multi-Index

Accelerated Nearest Neighbor Search with Quick ADC

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

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


Infer Community Assembly Mechanisms by Phylogenetic bin-based null model analysis (Version 1)

Salinity Gradient Controls Microbial Community Structure and Assembly in Coastal Solar Salterns

Forest succession improves the complexity of soil microbial interaction and ecological stochasticity of community assembly: Evidence from Phoebe bournei-dominated forests in subtropical regions

Biochar Addition Altered Bacterial Community and Improved Photosynthetic Rate of Seagrass: A Mesocosm Study of Seagrass Thalassia hemprichii

Seasonal variations of microbial community structure, assembly processes, and influencing factors in karst river

Niche Modification by Sulfate-Reducing Bacteria Drives Microbial Community Assembly in Anoxic Marine Sediments

Tree mycorrhizal type regulates leaf and needle microbial communities, affects microbial assembly and co-occurrence network patterns, and influences litter decomposition rates in temperate forest


Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation

Knowledge from Uncertainty in Evidential Deep Learning


[TMC 2024] FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence

FedICT: Federated Multi-task Distillation for Multi-access Edge Computing

Improving Communication Efficiency of Federated Distillation via
  Accumulating Local Updates


A tool for removing redundant genomes from a set of assemblies

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

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

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

ToRQuEMaDA: tool for retrieving queried Eubacteria, metadata and dereplicating assemblies

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

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

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


Adversarial Defense for Ensemble Models (ICML 2019)

Improving Adversarial Robustness via Promoting Ensemble Diversity

Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models


Ethereum MultiSigWallet

Harvey: A Greybox Fuzzer for Smart Contracts

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Targeted Greybox Fuzzing with Static Lookahead Analysis

Learning Inputs in Greybox Fuzzing

An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms

IEEE International Conference on Decentralized Applications and Infrastructures


Coresets via Bilevel Optimization

Coresets via Bilevel Optimization for Continual Learning and Streaming

Semi-supervised Batch Active Learning via Bilevel Optimization

Coreset Selection with Prioritized Multiple Objectives


Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

Transformers: State-of-the-Art Natural Language Processing

Fast Graph Representation Learning with PyTorch Geometric

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Scalable Geometric Deep Learning on Molecular Graphs


Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C


Efficient Exploration via State Marginal Matching (2019)

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

Curiosity-driven Exploration by Self-supervised Prediction

Unifying Count-Based Exploration and Intrinsic Motivation

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration


Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks

Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Uncertainty-Aware Deep Classifiers using Generative Models

Projected BNNs: Avoiding weight-space pathologies by learning latent
  representations of neural network weights


Heterogeneous Information Network Datasets for Recommendation and Network Embedding

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Socially-Aware Self-Supervised Tri-Training for Recommendation

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N
  Recommendation

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Counterfactual Explanation for Fairness in Recommendation

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks


A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

Meeting of the Association for Computational Linguistics

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision


A package for designing compact and comprehensive capture probe sets.

Capturing sequence diversity in metagenomes with comprehensive and scalable probe design

Combining genomics and epidemiology to track mumps virus transmission in the United States

Co-circulating mumps lineages at multiple geographic scales


MorphoDiTa: Morphologic Dictionary and Tagger

Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS

Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model

CUNI NMT System for WAT 2017 Translation Tasks

Tagger for Polish Computer Mediated Communication Texts

Recent Advances in Natural Language Processing


Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier


Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication

Frequency estimation under local differential privacy

Differential Privacy: What is all the noise about?


Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Deep Domain Confusion: Maximizing for Domain Invariance

Revisiting Batch Normalization For Practical Domain Adaptation


This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

FedLab: A Flexible Federated Learning Framework

When does the student surpass the teacher? Federated Semi-supervised
  Learning with Teacher-Student EMA


Data labels and scripts for fastMRI.org

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data.

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers


Official Pytorch's implementation of RotoGrad

RotoGrad: Gradient Homogenization in Multitask Learning

Towards overcoming data scarcity in materials science: unifying models and datasets with a mixture of experts framework


Tri-Party Deep Network Representation, IJCAI-16

A Survey on Network Embedding

Network Representation Learning: A Survey

A General Framework for Content-enhanced Network Representation Learning

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Zero-shot Node Classification with Decomposed Graph Prototype Network


A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Explaining and Harnessing Adversarial Examples

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Improving Back-Propagation by Adding an Adversarial Gradient


Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning


A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Deep Semi-Supervised Anomaly Detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision
  for Unsupervised Anomaly Detection is Creating the Illusion of Success

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets

Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

Task Agnostic Continual Learning Using Online Variational Bayes

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks


AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos. ECCV'18.

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images

MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE


[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

Neural Relational Inference for Interacting Systems

Unsupervised Learning of Object Keypoints for Perception and Control

Counterfactual Learning on Graphs: A Survey


Tuning hyperparams fast with Hyperband

AutoML to Date and Beyond: Challenges and Opportunities

Talking-Heads Attention

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning

Adaptive Artificial Neural Network Surrogate Model of Nonlinear Hydraulic Adjustable Damper for Automotive Semi-Active Suspension System

Supervised Machine Learning Techniques: An Overview with Applications to Banking

DEEP-BO for Hyperparameter Optimization of Deep Networks


Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Neural Message Passing for Quantum Chemistry

Learning Combinatorial Optimization Algorithms over Graphs

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

Learning to Solve Combinatorial Graph Partitioning Problems via
  Efficient Exploration


Layer-wise analysis of self-supervised pre-trained speech representations

Layer-wise Analysis of a Self-supervised Speech Representation Model

Comparative layer-wise analysis of self-supervised speech models

What do self-supervised speech models know about words?


Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

Imitation with Neural Density Models

Featurized Density Ratio Estimation

Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization


[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

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

Renderable Neural Radiance Map for Visual Navigation


Quantitative prediction of enhancer-promoter interactions

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal

EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions

Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformation

Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks

Enhancer/gene relationships: Need for more reliable genome-wide reference sets

CT-FOCS: a novel method for inferring cell type-specific enhancer-promoter maps

CENTRE: A gradient boosting algorithm for Cell-type-specific ENhancer-Target pREdiction

Latent representation of the human pan-celltype epigenome through a deep recurrent neural network


Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

The proper care and feeding of CAMELS: How limited training data affects streamflow prediction

Global soil moisture data derived through machine learning trained with in-situ measurements

Earthquake Nowcasting with Deep Learning