MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge --
  Motion Prediction


NLP  model and tech  for cyber security tasks

Malicious URL Detection using Machine Learning: A Survey

Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security

International Conference on Computing, Communication and Networking Technologies

Phishing Detection Using Machine Learning Techniques

deepBF: Malicious URL detection using learned Bloom Filter and evolutionary deep learning

Cyber Attack Detection thanks to Machine Learning Algorithms

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

International Conference on Information Systems Security and Privacy

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics.

Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 Dataset

Труды Института системного программирования РАН

Detecting Malicious URLs of COVID-19 Pandemic using ML technologies

Characterizing Malicious URL Campaigns


Official repository for VIGOR : Cross-View Image Geo-localization beyond One-to-one Retrieval

VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval

Visual and Object Geo-localization: A Comprehensive Survey

Cross-View Image Sequence Geo-localization


Pytorch Implementation for Graph Convolutional Neural Networks

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Revisiting Semi-Supervised Learning with Graph Embeddings

Why Random Pruning Is All We Need to Start Sparse


Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

PUREE: accurate pan-cancer tumor purity estimation from gene expression data

The Abundance of Tumor-Infiltrating CD8+ Tissue Resident Memory T Lymphocytes Correlates with Patient Survival in Glioblastoma


Code and data for IJCAI-17 paper Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

An Adversarial Transfer Network for Knowledge Representation Learning


This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.

Disentangling factors of variation in deep representations using adversarial training

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders

Challenges in Disentangling Independent Factors of Variation


Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

Can we predict T cell specificity with digital biology and machine learning?

epiTCR: a highly sensitive predictor for TCR–peptide binding


Principal Component Analysis (PCA) for Missing and/or Noisy Data

Principal Component Analysis with Noisy and/or Missing Data

Publications of the Astronomical Society of the Pacific

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Modeling the Spectral Diversity of Quasars in the Sixteenth Data Release from the Sloan Digital Sky Survey

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

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


Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Toward Robust Graph Semi-Supervised Learning against Extreme Data
  Scarcity


Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum

Dynamic curriculum learning via data parameters for noise robust keyword spotting

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination


Anti-Backdoor learning (NeurIPS 2021)

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Backdoor Defense via Deconfounded Representation Learning

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.

XGBD: Explanation-Guided Graph Backdoor Detection

Beating Backdoor Attack at Its Own Game


Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

EasyTPP: Towards Open Benchmarking Temporal Point Processes

On the Predictive Accuracy of Neural Temporal Point Process Models for
  Continuous-time Event Data


Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.

An Annotated Dataset of Coreference in English Literature

Literary Event Detection

Meeting of the Association for Computational Linguistics

An annotated dataset of literary entities

North American Chapter of the Association for Computational Linguistics

Named Entity Recognition and Classification in Historical Documents: A Survey

Measuring Information Propagation in Literary Social Networks

The Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts

Computational Storytelling and Emotions: A Survey

Improving Automatic Quotation Attribution in Literary Novels


Multi-task reinforcement learning benchmark.

Denoised MDPs: Learning World Models Better Than the World Itself

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

Continuous Control with Action Quantization from Demonstrations

Guided Imitation of Task and Motion Planning

Curious Exploration via Structured World Models Yields Zero-Shot Object
  Manipulation

Investigating the role of model-based learning in exploration and
  transfer

A Control-Centric Benchmark for Video Prediction


Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

A comprehensive review of State-of-The-Art methods for Java code generation from Natural Language Text

StarCoder 2 and The Stack v2: The Next Generation


Single channel speech source separation by diffusion process (ICASSP 2023)

Diffusion-based Generative Speech Source Separation


Attention network drives cortical maturation linked to childhood cognition

Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex

The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma


LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech


Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

The Perception-Distortion Tradeoff

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Multi-scale Xception based depthwise separable convolution for single image super-resolution

Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization

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

Attentive Fine-Grained Structured Sparsity for Image Restoration

Single Image Super-Resolution via CNN Architectures and TV-TV Minimization

A Compact High-Quality Image Demosaicking Neural Network for Edge-Computing Devices

Dual Projection Fusion for Reference-Based Image Super-Resolution


PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders

Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images

Self-Supervised Pretraining for 2D Medical Image Segmentation

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?

Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning


Benchmarks for the Unit Commitment Problem

Applying reinforcement learning and tree search to the unit commitment problem

Convex Polar Second-Order Taylor Approximation of AC Power Flows: A Unit Commitment Study


Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Knowledge-Augmented Language Models for Cause-Effect Relation Classification

Improving Drug–Drug Interaction Extraction with Gaussian Noise


Deep Closest Point: Learning Representations for Point Cloud Registration

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Fast and Robust Iterative Closest Point

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

A Robust Loss for Point Cloud Registration

Point Cloud Registration Based on Multiparameter Functional

Point-based metric and topological localisation between lidar and overhead imagery


The Platinum Genomes Truthset

De novo assembly of haplotype-resolved genomes with trio binning

Best Practices for Benchmarking Germline Small Variant Calls in Human Genomes

Lossy Compressor Preserving Variant Calling through Extended BWT

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies

Thousands of human mutation clusters are explained by short-range template switching


This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".

Unified Detoxifying and Debiasing in Language Generation via
  Inference-time Adaptive Optimization

ROBBIE: Robust Bias Evaluation of Large Generative Language Models


Implementation of BFT consensus protocols based on the Narwhal mempool.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Motorway: Seamless high speed BFT


本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的 应用探索与研究”相关模型

Medical Dialogue Generation via Dual Flow Modeling


Hierarchical Generation of Molecular Graphs using Structural Motifs

Hierarchical Graph-to-Graph Translation for Molecules

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

Graph-based Molecular Representation Learning

Data-Efficient Graph Grammar Learning for Molecular Generation

Exploring Chemical Space with Score-based Out-of-distribution Generation

t-SMILES: A Scalable Fragment-based Molecular Representation Framework
  for De Novo Molecule Generation


scRNAseq analysis notes from Ming Tang

The arcsine is asinine: the analysis of proportions in ecology

Current best practices in single‐cell RNA‐seq analysis: a tutorial

A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications

A benchmark of batch-effect correction methods for single-cell RNA sequencing data

Design and computational analysis of single-cell RNA-sequencing experiments

Proportionality: A Valid Alternative to Correlation for Relative Data

Dynamic Analysis of Stochastic Transcription Cycles

Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data

Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database

Decontamination of ambient RNA in single-cell RNA-seq with DecontX


UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning

Learning to Recharge: UAV Coverage Path Planning through Deep
  Reinforcement Learning


Ladder Variational Autoencoders (LVAE) in PyTorch

Ladder Variational Autoencoders

Interpretable Unsupervised Diversity Denoising and Artefact Removal

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods.


Convolutional Sequence to Sequence Learning

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

On Faithfulness and Factuality in Abstractive Summarization

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

A Survey of Knowledge-enhanced Text Generation

BRIO: Bringing Order to Abstractive Summarization

HighRES: Highlight-based Reference-less Evaluation of Summarization

RefSum: Refactoring Neural Summarization

Finding a Balanced Degree of Automation for Summary Evaluation

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation


Identify and find telomeres, or telomeric repeats in a genome.

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

The phased telomere-to-telomere reference genome of Musa acuminata, a main contributor to banana cultivars

Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana

Chromosome-level genome assembly of Lilford's wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain).

Gapless genome assembly of East Asian finless porpoise

Telomere-to-telomere pear (Pyrus pyrifolia) reference genome reveals segmental and whole genome duplication driving genome evolution

The haplotype-resolved telomere-to-telomere carnation (Dianthus caryophyllus) genome reveals the correlation between genome architecture and gene expression

Phased gap-free genome assembly of octoploid cultivated strawberry illustrates the genetic and epigenetic divergence among subgenomes


Compressed Sensing MRI based on Deep Generative Adversarial Network

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

An overview of deep learning in medical imaging focusing on MRI

Deep Generative Adversarial Networks for Compressed Sensing Automates
  MRI


Meta-Learning with Warped Gradient Descent

BOIL: Towards Representation Change for Few-shot Learning

Transferring Knowledge across Learning Processes

Graceful Degradation and Related Fields


This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-Encoders

Learning from Counterfactual Links for Link Prediction

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.

Environment-Aware Dynamic Graph Learning for Out-of-Distribution
  Generalization

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring


Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Semi-Supervised Learning with Generative Adversarial Networks

On Convergence and Stability of GANs


Beyond Low-frequency Information in Graph Convolutional Networks

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

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

MarkovGNN: Graph Neural Networks on Markov Diffusion

Revisiting Signed Propagation for Multi-Class Graph Neural Networks

On Performance Discrepancies Across Local Homophily Levels in Graph
  Neural Networks


Long short-term memory Spiking Neural Networks

Long short-term memory and learning-to-learn in networks of spiking
  neurons

Deep Rewiring: Training very sparse deep networks

Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets


The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.

RanPAC: Random Projections and Pre-trained Models for Continual Learning


Parameter-Free Optimizers for Pytorch

Coin Betting and Parameter-Free Online Learning

Training Deep Networks without Learning Rates Through Coin Betting

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule


Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

"Other-Play" for Zero-Shot Coordination

Improving Policies via Search in Cooperative Partially Observable Games

Off-Belief Learning

Generalized Beliefs for Cooperative AI


A distributed key-value storage system developed by Alibaba Group

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Truncation-Free Matching System for Display Advertising at Alibaba


Supercharged BLIP-2 that can handle videos

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models

Text-Conditioned Resampler For Long Form Video Understanding


PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

How Out-of-Distribution Data Hurts Semi-Supervised Learning


CoAID: COVID-19 Healthcare Misinformation Dataset

Automated Classification of Fake News Spreaders to Break the Misinformation Chain

ARCNN framework for multimodal infodemic detection

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

Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation.

Multi-modal Misinformation Detection: Approaches, Challenges and
  Opportunities

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter


pytorch implementation of the different DeepGaze models

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

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

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


Behavioral cloning: end-to-end learning for self-driving cars.

End to End Learning for Self-Driving Cars

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems


An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

What Your DRAM Power Models Are Not Telling You

EVA^2: Exploiting Temporal Redundancy in Live Computer Vision

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training

LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow
  Optimization for Convolutional Neural Networks

FPRaker: A Processing Element For Accelerating Neural Network Training

Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication
  Accelerator for Efficient DNN Processing

Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute.

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for
  Deep Learning Training


Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset

Bag of Tricks for Image Classification with Convolutional Neural Networks

High-Performance Large-Scale Image Recognition Without Normalization


Adaptive multidimensional Monte Carlo integration.

Tenth-Order Electron Anomalous Magnetic Moment --- Contribution of Diagrams without Closed Lepton Loops

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

Adaptive multidimensional integration: vegas enhanced

The first all-sky view of the Milky Way stellar halo with Gaia+2MASS RR Lyrae

Monthly Notices of the Royal Astronomical Society

Accelerated matrix element method with parallel computing

Improved information criteria for Bayesian model averaging in lattice
  field theory

Latest results from lattice N=4 supersymmetric Yang--Mills

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

Nonperturbative Infrared Finiteness in a Superrenormalizable Scalar Quantum Field Theory

SIDIS-RC EvGen: A Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections

Discovery of the shell structure via break radii in the outer halo of the Milky Way


CBAM implementation on TensorFlow Slim

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aggregated Residual Transformations for Deep Neural Networks


Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

Presence-Only Geographical Priors for Fine-Grained Image Classification


This repository carries out some paper recurring work

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression


WebRISC-V: A Web-Based Education-Oriented RISC-V Pipeline Simulation Environment [PHP]

WebRISC-V: a Web-Based Education-Oriented RISC-V Pipeline Simulation Environment

Workshop On Computer Architecture Education


Pytorch Implementation of Neural Architecture Optimization

Neural Architecture Optimization

Semi-Supervised Neural Architecture Search

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Understanding and Improving One-shot Neural Architecture Optimization.

Balanced One-shot Neural Architecture Optimization


Zero-Shot Text-Guided Object Generation with Dream Fields

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

ClipMatrix: Text-controlled Creation of 3D Textured Meshes


Starter kit for the black box optimization challenge at Neurips 2020

A Tutorial on Bayesian Optimization

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box
  Optimization Algorithms

Single-shot Hyper-parameter Optimization for Federated Learning: A
  General Algorithm & Analysis


Creative Commons Attribution 4.0 International

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

Journal of Australian studies/Journal of Australian studies (Print)

Post-OCR parsing: building simple and robust parser via BIO tagging

DocILE Benchmark for Document Information Localization and Extraction

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction


[TACL 2021] Code and data for the framework in "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs"

Visually Grounded Reasoning across Languages and Cultures

Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding

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

Meta-learning For Vision-and-language Cross-lingual Transfer


"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS international journal of geo-information

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and
  Treatment

Graph Neural Rough Differential Equations for Traffic Forecasting


Domain-Adversarial Neural Network in Tensorflow

Support and Invertibility in Domain-Invariant Representations

Missing-Class-Robust Domain Adaptation by Unilateral Alignment

IEEE transactions on industrial electronics

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Distributional Adversarial Networks

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch


BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Drug repurposing for COVID-19 via knowledge graph completion

Building a PubMed knowledge graph

NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Bio-AnswerFinder: a system to find answers to questions from biomedical texts

Database : the journal of biological databases and curation

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Meeting of the Association for Computational Linguistics

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering

A Sentence Classification Framework to Identify Geometric Errors in Radiation Therapy from Relevant Literature

Decouple knowledge from parameters for plug-and-play language modeling


Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Visualizing the effects of predictor variables in black box supervised learning models

The (Un)reliability of saliency methods

Distribution-Free Predictive Inference for Regression

Accurate intelligible models with pairwise interactions

Auditing Black-box Models for Indirect Influence

Interpreting tree ensembles with inTrees

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking


Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)

Learning to Synthesize a 4D RGBD Light Field from a Single Image

A Unified Learning-Based Framework for Light Field Reconstruction From Coded Projections

Advanced light-field refocusing through tomographic modeling of the photographed scene


Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

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

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

The Convolutional Tsetlin Machine

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

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

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

On the Convergence of Tsetlin Machines for the XOR Operator

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

A relational tsetlin machine with applications to natural language understanding

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

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks


Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

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

Explaining Deep Neural Networks

A Deep Explainable Model for Fault Prediction Using IoT Sensors


Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

Relational Reflection Entity Alignment

International Conference on Information and Knowledge Management

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

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

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Dependency-aware Self-training for Entity Alignment


TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020)  https://doi.org/10.1093/bioinformatics/btaa524

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Pretraining model for biological sequence data

Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction


neural variational document model

Neural Variational Inference for Text Processing

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Spherical Latent Spaces for Stable Variational Autoencoders

ATM: Adversarial-neural Topic Model

Neural Topic Modeling with Bidirectional Adversarial Training

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

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

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Context Reinforced Neural Topic Modeling over Short Texts

Learning VAE-LDA Models with Rounded Reparameterization Trick

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


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

TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch


FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Algorithmic fairness datasets: the story so far

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups

Learning Fair Classifiers with Partially Annotated Group Labels

Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment

The Bias Amplification Paradox in Text-to-Image Generation

Gender Stereotyping Impact in Facial Expression Recognition

OpenFilter: A Framework to Democratize Research Access to Social Media
  AR Filters


CVPR 2022

Diffusion Models Beat GANs on Image Synthesis

Perception Prioritized Training of Diffusion Models

Towards the Detection of Diffusion Model Deepfakes

Multi-Architecture Multi-Expert Diffusion Models

Addressing Negative Transfer in Diffusion Models

Denoising Task Routing for Diffusion Models


Learning to align and match videos with kernelized temporal layers

Particular object retrieval with integral max-pooling of CNN activations

LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers

Circulant temporal encoding for video retrieval and temporal alignment

VRAG: Region Attention Graphs for Content-Based Video Retrieval


Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge


IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

A two-step surface-based 3D deep learning pipeline for segmentation of intracranial aneurysms

VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis


Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

On learning optimized reaction diffusion processes for effective image restoration

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil
  MRI Reconstruction

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

A review and experimental evaluation of deep learning methods for MRI
  reconstruction

The journal of machine learning for biomedical imaging

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI

Deep, Deep Learning with BART


A library for finding knowledge neurons in pretrained transformer models.

Locating and Editing Factual Associations in GPT

Knowledge Neurons in Pretrained Transformers

Analyzing Individual Neurons in Pre-trained Language Models

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Can Hurt General Abilities of Large Language Models

Finding patterns in Knowledge Attribution for Transformers

Neighboring Perturbations of Knowledge Editing on Large Language Models


A codebase that makes differentially private training of transformers easy.

Large Language Models Can Be Strong Differentially Private Learners

When Does Differentially Private Learning Not Suffer in High Dimensions?

Automatic Clipping: Differentially Private Deep Learning Made Easier and
  Stronger

Scalable and Efficient Training of Large Convolutional Neural Networks
  with Differential Privacy

DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning

Provably Confidential Language Modelling

Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs

Coupling public and private gradient provably helps optimization


PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Wasserstein Adversarial Regularization (WAR) on label noise


Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

Deep Learning for UAV-based Object Detection and Tracking: A Survey

IEEE geoscience and remote sensing magazine

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning

Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy

Improving YOLOv7-Tiny for Infrared and Visible Light Image Object Detection on Drones


PyTorch code for SpERT: Span-based Entity and Relation Transformer

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!

Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks

Proceedings of the Sixth Workshop on Structured Prediction for NLP

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Joint Entity and Relation Extraction Network with Enhanced Explicit and Implicit Semantic Information

Extracting Material Property Measurement Data from Scientific Articles


Code for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings

A Position Aware Decay Weighted Network for Aspect Based Sentiment Analysis


SOM-DST: Efficient Dialogue State Tracking by Selectively Overwriting Memory (ACL 2020)

Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Multi-Domain Dialogue State Tracking based on State Graph

Multi-Domain Dialogue State Tracking - A Purely Transformer-Based Generative Approach.


This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering

Forgetting Fast in Recommender Systems

Density-Ratio Based Personalised Ranking from Implicit Feedback


Paper 'Transformer based Pluralistic Image Completion with Reduced Information Loss' in TPAMI 2024 and 'Reduce Information Loss in Transformers for Pluralistic Image Inpainting' in CVPR2022

Zero-Shot Text-to-Image Generation


What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes

Understanding Catastrophic Forgetting in Language Models via Implicit
  Inference


Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

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

Mask-invariant Face Recognition through Template-level Knowledge Distillation

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

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


Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

IEEE transactions on geoscience and remote sensing

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures.

A Mask-Guided Transformer Network with Topic Token for Remote Sensing Image Captioning


Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

MetaGL: Evaluation-Free Selection of Graph Learning Models via
  Meta-Learning

Meta-Learning for Unsupervised Outlier Detection with Optimal Transport


A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model


Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)

Linear Transformers Are Secretly Fast Weight Programmers

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers

Neural Differential Equations for Learning to Program Neural Nets
  Through Continuous Learning Rules


Code for Transformer Hawkes Process, ICML 2020.

Transformer Hawkes Process

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM transactions on intelligent systems and technology

Continuous-time convolutions model of event sequences


(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

ShapeNet: An Information-Rich 3D Model Repository

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Neural 3D Mesh Renderer

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets


Dialogue model that produces empathetic responses when trained on the EmpatheticDialogues dataset.

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Conversational Agents: Goals, Technologies, Vision and Challenges

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Conditional Text Generation for Harmonious Human-Machine Interaction

Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition

A Multi-Turn Emotionally Engaging Dialog Model

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication

CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning.

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

From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey


An implementation of the Augmented Random Search algorithm

Simple random search provides a competitive approach to reinforcement learning

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization


Denoising Diffusion Probabilistic Models

Variational Diffusion Models

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

Fast Sampling of Diffusion Models with Exponential Integrator

gDDIM: Generalized denoising diffusion implicit models

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

DIRE for Diffusion-Generated Image Detection

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

Posterior Sampling Based on Gradient Flows of the MMD with Negative
  Distance Kernel

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution
  Detection


Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Deep Reinforcement Learning in Parameterized Action Space

Reinforcement Learning with Parameterized Actions

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via
  Hybrid Action Representation


PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Semi-Supervised Learning with Generative Adversarial Networks

Domain Transformer: Predicting Samples of Unseen, Future Domains


Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

Membership Inference Attacks against Machine Learning Models

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Revisiting Membership Inference Under Realistic Assumptions

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


Sequence Generation Model for Multi-label Classification (COLING 2018)

SGM: Sequence Generation Model for Multi-label Classification

A Survey on Text Classification: From Shallow to Deep Learning

Label-Specific Document Representation for Multi-Label Text Classification

Rethinking Complex Neural Network Architectures for Document Classification

North American Chapter of the Association for Computational Linguistics

Well-calibrated confidence measures for multi-label text classification with a large number of labels

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

MEXN: Multi-Stage Extraction Network for Patent Document Classification

An Empirical Study on Active Learning for Multi-label Text Classification

The Fourth Workshop on Insights from Negative Results in NLP


AutoFIS: Automatic  Feature Interaction Selection in Factorization  Models for  Click-Through Rate Prediction

User Response Prediction in Online Advertising

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Optimizing Feature Set for Click-Through Rate Prediction


PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

StyleTTS: A Style-Based Generative Model for Natural and Diverse
  Text-to-Speech Synthesis

SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero-Shot Multi-Speaker Text-to-Speech


Stochastic Video Generation with a Learned Prior

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Goal-Aware Prediction: Learning to Model What Matters

A General Method for Amortizing Variational Filtering

Noether Networks: Meta-Learning Useful Conserved Quantities

On the Choice of Perception Loss Function for Learned Video Compression

Video Reenactment as Inductive Bias for Content-Motion Disentanglement


Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"

Layer Normalization

Order-Embeddings of Images and Language

Representations of language in a model of visually grounded speech signal

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Image Pivoting for Learning Multilingual Multimodal Representations


[NeurIPS'19] Deep Equilibrium Models

Deep Equilibrium Models

Multiscale Deep Equilibrium Models

Stabilizing Equilibrium Models by Jacobian Regularization

On Training Implicit Models

Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation


JAMR Parser and Generator

A Discriminative Graph-Based Parser for the Abstract Meaning Representation

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

An Incremental Parser for Abstract Meaning Representation

Semantic Neural Machine Translation using AMR

Transactions of the Association for Computational Linguistics

Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation

Empirical Methods in Natural Language Processing

SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

Meeting of the Association for Computational Linguistics

Enhancing AMR-to-Text Generation with Dual Graph Representations

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation

International Conference on Natural Language Generation

SemBleu: A Robust Metric for AMR Parsing Evaluation


Python tool for obtaining watertight meshes using TSDF fusion.

Learning 3D Shape Completion Under Weak Supervision

International journal of computer vision

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Living Scenes: Multi-object Relocalization and Reconstruction in
  Changing 3D Environments


KITTI Odometry Evaluation Toolbox

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model

IEEE transactions on intelligent transportation systems

Pose Estimation Utilizing a Gated Recurrent Unit Network for Visual Localization

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

Transformer-based model for monocular visual odometry: a video
  understanding approach


[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

Interpretable and Generalizable Person Re-identification with Query-Adaptive Convolution and Temporal Lifting

Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification

TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?

TAL: Two-stream Adaptive Learning for Generalizable Person
  Re-identification


[CCS'24] A dataset consists of 6,387 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 666 jailbreak prompts).

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak
  Prompts on Large Language Models

TrustLLM: Trustworthiness in Large Language Models


The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

A simple yet effective baseline for 3d human pose estimation

3D human pose estimation in video with temporal convolutions and semi-supervised training

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective


Inductive relation prediction by subgraph reasoning, ICML'20

Inductive Relation Prediction by Subgraph Reasoning

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Inductive Relation Prediction by BERT

Knowledge Graph Reasoning with Relational Directed Graph

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer


Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

Attention Is All You Need

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

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

LaMDA: Language Models for Dialog Applications

GLU Variants Improve Transformer


PyTorch implementation of Soft Actor-Critic (SAC)

Soft Actor-Critic Algorithms and Applications

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Learning Invariant Representations for Reinforcement Learning without Reconstruction

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Online Decision Transformer

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress

Extreme Q-Learning: MaxEnt RL without Entropy

Learning Dexterous Manipulation from Suboptimal Experts

Reward Uncertainty for Exploration in Preference-based Reinforcement
  Learning


:microscope: :leo: Bacterial ribosomal RNA predictor

Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism

Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences

phyloFlash: Rapid Small-Subunit rRNA Profiling and Targeted Assembly from Metagenomes

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Retrieval of a million high-quality, full-length microbial 16S and 18S rRNA gene sequences without primer bias

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Improved reference genome of the arboviral vector Aedes albopictus

Ultrahigh-throughput functional profiling of microbiota communities

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

Orb-weaving spider Araneus ventricosus genome elucidates the spidroin gene catalogue


AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Multiplex Heterogeneous Graph Convolutional Network

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

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


CM-GAN for Image Inpainting

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware
  Training

Semantic Layout Manipulation with High-Resolution Sparse Attention


Advanced implementation of LOAM

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

International Conference on Robotics and Automation

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Robust Odometry and Mapping for Multi-LiDAR Systems With Online Extrinsic Calibration

IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping

StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

ViViD++ : Vision for Visibility Dataset

Present and Future of SLAM in Extreme Underground Environments


PyTorch implementation of our IJCV paper: "Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods"

LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

3D Manhattan Room Layout Reconstruction from a Single 360 Image


Building a Bayesian deep learning classifier

Deep Residual Learning for Image Recognition

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Learning uncertainty with artificial neural networks for predictive process monitoring


Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via
  Feature Distillation

Improving CLIP Fine-tuning Performance

IEEE International Conference on Computer Vision


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

SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks

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

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


Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

CODER: Knowledge infused cross-lingual medical term embedding for term
  normalization

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Clinical Concept Embeddings Learned from Massive Sources of Medical Data.

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Representation Learning for Electronic Health Records

Effective Representations of Clinical Notes

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus

Family member information extraction via neural sequence labeling models with different tag schemes

BMC medical informatics and decision making

Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center


Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

A topological insight into restricted Boltzmann machines

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Topological Insights into Sparse Neural Networks

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders

On improving deep learning generalization with adaptive sparse connectivity

Supervised Feature Selection with Neuron Evolution in Sparse Neural
  Networks

Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

Computer systems science and engineering

Group-Connected Multilayer Perceptron Networks


AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want

AttGAN: Facial Attribute Editing by Only Changing What You Want

Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

Semantic Image Attack for Visual Model Diagnosis


VICReg official code base

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Blockwise Self-Supervised Learning at Scale

A Survey on Self-Supervised Representation Learning

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL
  Architectures


FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

Biometric Quality: Review and Application to Face Recognition with FaceQnet

Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition

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

A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics

The Effect of Wearing a Face Mask on Face Image Quality

Fast and Reliable Probabilistic Face Embeddings in the Wild

Harnessing Unrecognizable Faces for Improving Face Recognition

Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models


D-NeRF: Neural Radiance Fields for Dynamic Scenes

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model

Novel View Synthesis for High-fidelity Headshot Scenes


Structural Deep Clustering Network

Deep Clustering for Unsupervised Learning of Visual Features

Structural Deep Clustering Network

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

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering

Pressure Sensor Placement in Water Supply Network Based on Graph Neural Network Clustering Method

Unsupervised Network Embedding Beyond Homophily

TC-DWA:Text Clustering with Dual Word-Level Augmentation

Proceedings of the AAAI Conference on Artificial Intelligence


A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Convolutional Sequence to Sequence Learning

Reading Wikipedia to Answer Open-Domain Questions

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Deep Reinforcement Learning: An Overview

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Key-Value Memory Networks for Directly Reading Documents

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Recipes for building an open-domain chatbot

Wizard of Wikipedia: Knowledge-Powered Conversational agents


CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

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

Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

Stating Comparison Score Uncertainty and Verification Decision
  Confidence Towards Transparent Face Recognition

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models


Interface to the MODIS Land Products Subsets Web Services


ACM MM 2021: 'Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection'

Late Audio-Visual Fusion for In-The-Wild Speaker Diarization

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of
  Angela Merkel's Weekly Video Podcasts

Whose emotion matters? Speaking activity localisation without prior knowledge


PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

A Survey on Neural Speech Synthesis

Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems


Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

How To Backdoor Federated Learning

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

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


RMI's steel emissions accounting and data exchange guidance


Multiple implementations for abstractive text summurization , using google colab

Neural Machine Translation by Jointly Learning to Align and Translate

Get To The Point: Summarization with Pointer-Generator Networks

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

A Deep Reinforced Model for Abstractive Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Deep Architectures for Abstractive Text Summarization in Multiple Languages

International Conference on Computer Engineering and Systems

Amharic Abstractive Text Summarization


Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Image Generation from Scene Graphs

PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Generative Compositional Augmentations for Scene Graph Prediction

Controllable and Progressive Image Extrapolation

Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation


Named-entity datasets and GloVe models for the Armenian language

pioNER: Datasets and Baselines for Armenian Named Entity Recognition

2018 Ivannikov Ispras Open Conference (ISPRAS)

Word Embeddings for the Armenian Language: Intrinsic and Extrinsic
  Evaluation

Describing Language Variation in the Colophons of Armenian Manuscripts


Publicly available code from my publications

Machine Learning for Causal Inference: On the Use of Cross-fit Estimators

Transportability Without Positivity: A Synthesis of Statistical and Simulation Modeling

Synthesis estimators for positivity violations with a continuous
  covariate

Bridged treatment comparisons: an illustrative application in HIV
  treatment

Empirical sandwich variance estimator for iterated conditional
  expectation g-computation


Learning with Partial Supervision

Structured Prediction with Partial Labelling through the Infimum Loss

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

Disambiguation of weak supervision with exponential convergence rates


Source code for the DeepViral paper

A generalized approach to predicting protein-protein interactions between virus and host

DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes

DeepViral: infectious disease phenotypes improve prediction of novel virus–host interactions


Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a
  Single Image

Multi-Garment Net: Learning to Dress 3D People from Images

CLOTH3D: Clothed 3D Humans

PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation


Full-Shape Power Spectrum and Bispectrum Likelihoods

Testing primordial black hole and measuring the Hubble constant with multiband gravitational-wave observations

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Consistency of effective field theory analyses of the BOSS power spectrum

Determining the Hubble Constant without the Sound Horizon: A $3.6\%$
  Constraint on $H_0$ from Galaxy Surveys, CMB Lensing and Supernovae

Ultra-light axions and the S_8 tension: joint constraints from the
  cosmic microwave background and galaxy clustering

Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS
  voids


RNA-Seq normalization and quantification pipeline

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

Loss of Nuclear TDP-43 Is Associated with Decondensation of LINE Retrotransposons

Circadian control of lung inflammation in influenza infection

Neuropilin-1 is a T cell memory checkpoint limiting long-term antitumor immunity

Nr4a1 suppresses cocaine-induced behavior via epigenetic regulation of homeostatic target genes

Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3

Spliceosome factors target timeless (tim) mRNA to control clock protein accumulation and circadian behavior in Drosophila

Targeting MRTF/SRF in CAP2-dependent dilated cardiomyopathy delays disease onset.

Age attenuates the transcriptional changes that occur with sleep in the medial prefrontal cortex

Nitecap: An Exploratory Circadian Analysis Web Application


A C++ software tool for generating and analyzing model bulk heterojunction morphologies in a parallel computing environment

Encounter-Limited Charge-Carrier Recombination in Phase-Separated Organic Semiconductor Blends

Charge carrier concentration dependence of encounter-limited bimolecular recombination in phase-separated organic semiconductor blends

Impact of Tortuosity on Charge-Carrier Transport in Organic Bulk Heterojunction Blends

Ising_OPV v4.0: Experimental Tomography Data Import, Interpretation, and Analysis

Erratum: Efficient Generation of Model Bulk Heterojunction Morphologies for Organic Photovoltaic Device Modeling [Phys. Rev. Applied 2 , 014008 (2014)]


My collection of Python tools!

The Design of the Fifth Answer Set Programming Competition

A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming

Theory and practice of logic programming

Preliminary Report on WASP 2.0

A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming

Inconsistency Proofs for ASP: The ASP-DRUPE Format

Static Analysis and Stochastic Search for Reachability Problem


Improving anatomical plausibility in medical image segmentation via
  hybrid graph neural networks: applications to chest x-ray analysis

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models


COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

CovidAID: COVID-19 Detection Using Chest X-Ray

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review

Neural processing letters/Neural Processing Letters

LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases

COVID-19 Detection using Chest X-Ray

International journal of scientific research in science, engineering and technology


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

Efficient Computation of Limit Spectra of Sample Covariance Matrices

Random matrices : theory and applications

How to Reduce Dimension With PCA and Random Projections?

PCA from noisy, linearly reduced data: the diagonal case


Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms

Derivative-Free Optimization of Neural Networks using Local Search

Ubiquitous Computing, Electronics & Mobile Communication Conference

Optimizing Deep Neural Networks with Multiple Search Neuroevolution

Experiential Robot Learning with Accelerated Neuroevolution

Examining Hyperparameters of Neural Networks Trained Using Local Search

International Conference on the Internet, Cyber Security and Information Systems


Developing a Melanoma Detector with Neural Networks and Flask for Deployment

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

A patient-centric dataset of images and metadata for identifying melanomas using clinical context


Testing the consistency of binary classification performance scores reported in papers

Testing the Consistency of Performance Scores Reported for Binary Classification Problems

mlscorecheck: Testing the consistency of reported performance scores and
  experiments in machine learning


Analysis tools for PhIP-seq experiments

Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C)

medRxiv : the preprint server for health sciences

Autoantigen discovery with a synthetic human peptidome

Epitope profiling reveals binding signatures of SARS-CoV-2 immune response in natural infection and cross-reactivity with endemic human CoVs

Phage ImmunoPrecipitation Sequencing (PhIP-Seq): The Promise of High Throughput Serology

Antibody epitope profiling of the KSHV LANA protein using VirScan

Epitope profiling reveals binding signatures of SARS-CoV-2 immune response and cross-reactivity with endemic HCoVs


This is a public repository for RATS Channel-A Speech Data, which is a chargeable noisy speech dataset under LDC. Here we release its Log-Mel Fbank features and several raw wavform listening samples.

Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition

Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition

Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition


Release detailed information for the benchmarking algorithms

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation


High Harmonic Generation in the Strong Field Approximation via Mathematica

Spin conservation in high-order-harmonic generation using bicircular fields

Physical review. A, Atomic, molecular, and optical physics/Physical review, A, Atomic, molecular, and optical physics

Chirp-control of resonant high-order harmonic generation in indium ablation plumes driven by intense few-cycle laser pulses.

Anatomy of high-order harmonic emission from p states in bicircular fields

High harmonic interferometry of the Lorentz force in strong mid-infrared laser fields

The imaginary part of the high-harmonic cutoff

Generation of attosecond pulses with a controllable carrier-envelope phase via high-order frequency mixing


Tree House Explorer (THEx) is a novel genome browser for exploring phylogenetic and genomic data in one succinct place.

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

GHOST: Recovering Historical Signal from Heterotachously-evolved Sequence Alignments

Radiation with reticulation marks the origin of a major malaria vector

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

Tree House Explorer: A Novel Genome Browser for Phylogenomics


Code to read/write tables of rotation measures following the proposed standard.

The Galactic Faraday rotation sky 2020

Magnetism Science with the Square Kilometre Array

The POlarised GLEAM Survey (POGS) II: Results from an all-sky rotation measure synthesis survey at long wavelengths

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

Discovery of ASKAP J173608.2-321635 as a Highly-Polarized Transient
  Point Source with the Australian SKA Pathfinder

The Faraday Rotation Measure Grid of the LOFAR Two-metre Sky Survey: Data Release 2

Monthly notices of the Royal Astronomical Society

Revisiting Rotation Measures from the Canadian Galactic Plane Survey: the Magnetic Field in the Disk of the Outer Galaxy

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

The Global Magneto-Ionic Medium Survey (GMIMS): the brightest polarized region in the southern sky at 75 cm and its implications for Radio Loop II

Monthly Notices of the Royal Astronomical Society

A method for reconstructing the Galactic magnetic field using dispersion of fast radio bursts and Faraday rotation of radio galaxies

The Rapid ASKAP Continuum Survey III: Spectra and Polarisation In Cutouts of Extragalactic Sources (SPICE-RACS) first data release


Code for training binary and WTA SNNs

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits

End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence


ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation


RCSM(Recommended Connectivity-map Scoring Methods)

A comprehensive evaluation of connectivity methods for L1000 data

DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning

International journal of molecular sciences


A very simple library for exploiting graph-of-words in NLP

CIKM - Graph-of-word and TW-IDF: new approach to ad hoc IR

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

Main Core Retention on Graph-of-Words for Single-Document Keyword Extraction

Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix

Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)


Gaussian gradient magnitude filtering of astronomical images

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

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

Studying the merging cluster Abell 3266 with eROSITA

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

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


ActiveCrowdToolkit: Benchmarking tools for crowdsourcing research

Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing

A Light-weight, Effective and Efficient Model for Label Aggregation in
  Crowdsourcing


Package for simulating nonlinear optical spectra

Automatic Feynman diagram generation for nonlinear optical spectroscopies and application to fifth-order spectroscopy with pulse overlaps

Efficient numerical method for predicting nonlinear optical spectroscopies of open systems

QuDPy: A Python-based tool for computing ultrafast non-linear optical responses


Simple gym environments for safety in Reinforcement Learning Research

Constrained Policy Optimization

A Lyapunov-based Approach to Safe Reinforcement Learning

Lyapunov-based Safe Policy Optimization for Continuous Control

Game Redesign in No-regret Game Playing


Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement

基因组蛋白质组与生物信息学报

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis


Decomposition-based peak identification, which find peaks across a large number of TSS (transcription starting site) profiles

FANTOM5 CAGE profiles of human and mouse samples

DUX4 is a multifunctional factor priming human embryonic genome activation

Transcriptomic diversity in human medullary thymic epithelial cells

Monitoring transcription initiation activities in rat and dog

An Evaluation of Function of Multicopy Noncoding RNAs in Mammals Using ENCODE/FANTOM Data and Comparative Genomics

Transcription start site profiling of 15 anatomical regions of the Macaca mulatta central nervous system

Comprehensive characterization of the embryonic factor LEUTX


Utilities to calculate kinematic distances

The HI/OH/Recombination line survey of the inner Milky Way (THOR): data release 2 and HI overview

The Galactic dynamics revealed by the filamentary structure in atomic hydrogen emission

The diffuse interstellar band around 8620 Å II. Kinematics and distance of the DIB carrier

Atomic and molecular gas properties during cloud formation

Probing the global dust properties and cluster formation potential of the giant molecular cloud G148.24+00.41


Deep Learning for EM Connectomics

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Petascale neural circuit reconstruction: automated methods

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions


Pan cancer summary statistics from meta analyses of UK Biobank and Kaiser GERA cohorts.

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

Human molecular genetics online/Human molecular genetics

GWAS meta-analysis and gene expression data link reproductive tract development, immune response and cellular proliferation/apoptosis with cervical cancer and clarify overlap with other cervical phenotypes


3D Monte Carlo Radiative Transfer for exoplanet atmospheres using GPUs.

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

Photochemically-produced SO_2 in the atmosphere of WASP-39b


Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks


Code to prepare and use common datasets for scene analysis tasks

Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

Efficient Multi-Task Scene Analysis with RGB-D Transformers

PanopticNDT: Efficient and Robust Panoptic Mapping


bead-based normalization of mass cytometry data

Distinct predictive biomarker candidates for response to anti-CTLA-4 and anti-PD-1 immunotherapy in melanoma patients

TBL1XR1 Mutations Drive Extranodal Lymphoma by Inducing a Pro-tumorigenic Memory Fate

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Reduced CD27−IgD− B Cells in Blood and Raised CD27−IgD− B Cells in Gut-Associated Lymphoid Tissue in Inflammatory Bowel Disease

Treated HIV Infection Alters Phenotype but Not HIV-Specific Function of Peripheral Blood Natural Killer Cells

Harnessing CD3 diversity to optimize CAR T cells

Intrinsic suppression of type I interferon production underlies the therapeutic efficacy of IL-15-producing natural killer cells in B-cell acute lymphoblastic leukemia

Single cell profiling at the maternal-fetal interface reveals a deficiency of PD-L1+ non-immune cells in human spontaneous preterm labor


Linear kinetic theory propagator for initial conditions of heavy ion collisions

Matching the non-equilibrium initial stage of heavy ion collisions to hydrodynamics with QCD kinetic theory

Proceedings of XIII Quark Confinement and the Hadron Spectrum — PoS(Confinement2018)

Hydrodynamic Attractors, Initial State Energy, and Particle Production in Relativistic Nuclear Collisions.

Hydrodynamization and nonequilibrium Green’s functions in kinetic theory

Entropy production in pp and Pb-Pb collisions at the LHC

Initial conditions for nuclear collisions: theory overview

Pre-equilibrium photons from the early stages of heavy-ion collisions


This repository contains a list of awesome literature in statistics and machine learning.

Polygenic scores via penalized regression on summary statistics

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments

Sparse Ising Models with Covariates


An antibody-escape calculator for mutations to the SARS-CoV-2 receptor-binding domain

bioRxiv : the preprint server for biology

Learning from prepandemic data to forecast viral escape

Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARS-CoV-2 evolution


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

Training data-efficient image transformers & distillation through attention

The DeepFake Detection Challenge (DFDC) Dataset

Deepfake Detection Scheme Based on Vision Transformer and Distillation


Detection of Molecules plugin for ImageJ, Utrecht University

MAP7 family proteins regulate kinesin-1 recruitment and activation

The journal of cell biology/The Journal of cell biology

CLASP Suppresses Microtubule Catastrophes through a Single TOG Domain

Centriolar CPAP/SAS-4 Imparts Slow Processive Microtubule Growth

Kinesin-4 KIF21B is a potent microtubule pausing factor

Concerted action of kinesins KIF5B and KIF13B promotes efficient secretory vesicle transport to microtubule plus ends

Myosin-V Induces Cargo Immobilization and Clustering at the Axon Initial Segment

Unravelling Channel Structure–Diffusivity Relationships in Zeolite ZSM‐5 at the Single‐Molecule Level

Probing the Interplay between Dendritic Spine Morphology and Membrane-Bound Diffusion

Robust adaptive optics for localization microscopy deep in complex tissue

Comparing strategies for deep astigmatism-based single-molecule localization microscopy.


Pre-training BART model for the Italian Language

mT5: A massively multilingual pre-trained text-to-text transformer

IT5: Large-scale Text-to-text Pretraining for Italian Language
  Understanding and Generation

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization


Brook90 coded in R

Rainfall Threshold for Flash Flood Warning Based on Model Output of Soil Moisture: Case Study Wernersbach, Germany

Pseudo-Spatially-Distributed Modeling of Water Balance Components in the Free State of Saxony

Zenodo (CERN European Organization for Nuclear Research)


DEPRECATED: Use Cenote-Taker 3 instead

Discovery of several thousand highly diverse circular DNA viruses

Environmental viromes reveal the global distribution signatures of deep-sea DNA viruses

Environmental viromes reveal global virosphere of deep-sea sediment RNA viruses


Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.

Deep Residual Learning for Image Recognition

Similarity of Neural Network Representations Revisited


[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)

Integrated monitoring of ice in selected Swiss lakes. Final project report

Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery

Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring

IEEE transactions on geoscience and remote sensing


Measuring COVID-19's gendered impact on academic productivity using submission data from preprint servers

Gender Equity Considerations for Tenure and Promotion during COVID‐19

Canadian review of sociology = Revue canadienne de sociologie

Researchers working from home: Benefits and challenges

Impact of Covid-19 on research output by gender across countries

Lived experiences of women academics during the COVID-19 pandemic in Pakistan

Dimensões de sexo, gênero e raça na pesquisa sobre COVID-19

Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil

Amplification of Structural Inequalities: Research Sabbaticals During COVID-19

Academic Productivity of Equity-Deserving Physician Scholars During COVID-19: A Scoping Review

Academic medicine : journal of the Association of American Medical Colleges


General-Purpose Reinforcement Learning

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

CBAM: Convolutional Block Attention Module

Identity Mappings in Deep Residual Networks

Effective Approaches to Attention-based Neural Machine Translation

Searching for MobileNetV3

Hybrid computing using a neural network with dynamic external memory

Human-level performance in 3D multiplayer games with population-based reinforcement learning


Elucidating The Design Space of Classifier-Guided Diffusion Generation

Diffusion Models Beat GANs on Image Synthesis

Classifier-Free Diffusion Guidance


The Pitfalls of Simplicity Bias in Neural Networks

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization

Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning


A curated list of awesome clonality and tumor heterogeneity resources

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Tree inference for single-cell data

THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

Inferring clonal composition from multiple sections of a breast cancer.

Reference-free inference of tumor phylogenies from single-cell sequencing data

International Conference on Computational Advances in Bio and Medical Sciences


ROHSA: Regularized Optimization for Hyper-Spectral Analysis - Application to phase separation of 21 cm data

Thermal and Turbulent Properties of the Warm Neutral Medium in the Solar Neighborhood

Resolving the Formation of Cold H i Filaments in the High-velocity Cloud Complex C

The multiphase and magnetized neutral hydrogen seen by LOFAR

Compressed magnetized shells of atomic gas and the formation of the Corona Australis molecular cloud

Mapping the Thermal Condensation of Diffuse H i in the North Celestial Pole Loop

A Comparison of Multiphase Magnetic Field Tracers in a High Galactic Latitude Region of the Filamentary Interstellar Medium


Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

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

Graph Sanitation with Application to Node Classification

Compact Graph Structure Learning via Mutual Information Compression

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

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph
  Neural Networks

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

Data Augmentation for Graph Data: Recent Advancements

A Comparative Study on Robust Graph Neural Networks to Structural Noises


Routines to model ocean carbonate system thermodynamics

Improved routines to model the ocean carbonate system: mocsy 2.0

Observation-constrained estimates of the global ocean carbon sink from Earth system models


Benchmark apps for static analyzing inter-component data leakage problem of Android apps.

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques

ACM transactions on privacy and security

µSE: Mutation-Based Evaluation of Security-Focused Static Analysis Tools for Android

International Conference on Software Engineering

AppAngio: Revealing Contextual Information of Android App Behaviors by API-Level Audit Logs


Measuring Robustness in Deep Learning Based Compressive Sensing

Adversarial Robust Training of Deep Learning MRI Reconstruction Models

The journal of machine learning for biomedical imaging

Adversarial Robust Training in MRI Reconstruction.


The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)

Deep Learning on Graphs: A Survey

Efficient Hyper-parameter Search for Knowledge Graph Embedding


Reimplementing SOTA convolution variants with Tensorflow 2.0.

CBAM: Convolutional Block Attention Module

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Attention Augmented Convolutional Networks

MixConv: Mixed Depthwise Convolutional Kernels


[ICIP 2023 (oral)] Team DETR: Guide Queries as a Professional Team in Detection Transformers

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising


Fast and accurate aberration estimation from 3D bead images using convolutional neural networks

Practical sensorless aberration estimation for 3D microscopy with deep learning

Universal adaptive optics for microscopy through embedded neural network control

Live-cell imaging powered by computation


Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods

Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

Variational Sequential Optimal Experimental Design using Reinforcement
  Learning


C program for selecting DNA substitution models using PAUP*

Páramo is the world's fastest evolving and coolest biodiversity hotspot

Phylogenetic analyses of Begonia sect. Coelocentrum and allied limestone species of China shed light on the evolution of Sino-Vietnamese karst flora

A new generic system for the pantropical Caesalpinia group (Leguminosae)

Discovery from a large-scaled survey of Trichoderma in soil of China

Biogeography and taxonomy of extinct and endangered monk seals illuminated by ancient DNA and skull morphology

Phylogeographic Patterns in Africa and High Resolution Delineation of Genetic Clades in the Lion (Panthera leo)

Seven wood-inhabiting new species of the genus Trichoderma (Fungi, Ascomycota) in Viride clade

A new species of Trichoderma hypoxylon harbours abundant secondary metabolites

The widespread biting midge Culicoides impunctatus (Ceratopogonidae) is susceptible to infection with numerous Haemoproteus (Haemoproteidae) species

Population structure of Escherichia coli O26 : H11 with recent and repeated stx2 acquisition in multiple lineages


Arnaout Lab

Label-free segmentation from cardiac ultrasound using self-supervised
  learning

Domain-guided data augmentation for deep learning on medical imaging


Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Maximum Entropy Deep Inverse Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Learning Soft Constraints From Constrained Expert Demonstrations

Structural Estimation of Markov Decision Processes in High-Dimensional
  State Space with Finite-Time Guarantees


Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"

Convolutional Neural Networks for Sentence Classification

Explaining Predictions of Non-Linear Classifiers in NLP

FIND: Human-in-the-Loop Debugging Deep Text Classifiers


pre-process illumina reads

Trimmomatic: a flexible trimmer for Illumina sequence data

A Phylogeny of Birds Based on Over 1,500 Loci Collected by Target Enrichment and High-Throughput Sequencing

Target Capture and Massively Parallel Sequencing of Ultraconserved Elements for Comparative Studies at Shallow Evolutionary Time Scales

A Phylogenomic Perspective on the Radiation of Ray-Finned Fishes Based upon Targeted Sequencing of Ultraconserved Elements (UCEs)

Earth history and the passerine superradiation

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

Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera

Investigating Difficult Nodes in the Placental Mammal Tree with Expanded Taxon Sampling and Thousands of Ultraconserved Elements

Ultraconserved Elements Sequencing as a Low-Cost Source of Complete Mitochondrial Genomes and Microsatellite Markers in Non-Model Amniotes

Hidden histories of gene flow in highland birds revealed with genomic markers

Phylogenomic species delimitation in microendemic frogs of the Brazilian Atlantic Forest


An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"

Emergent cooperation through mutual information maximization


Targeted Adversarial Examples on Speech-to-Text systems

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Universal adversarial examples in speech command classification

Towards Resistant Audio Adversarial Examples

Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligence

Detecting Audio Adversarial Examples with Logit Noising

Language Dependencies in Adversarial Attacks on Speech Recognition Systems


A C++ wrapper for a hungarian algorithm implementation

FastTrack: An open-source software for tracking varying numbers of deformable objects

Multipole photon radiation in the Vincia parton shower

Koios: Top-k Semantic Overlap Set Search


Bridging Vision and Language Model

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

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Multi-Modal Experience Inspired AI Creation

Proceedings of the 30th ACM International Conference on Multimedia


PyTorch Implementation of DCGAN

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Diffeomorphic Counterfactuals with Generative Models


Canonical Correlation Forests

Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification

Canonical Correlation Forests

A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand


Package pymcd

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion
  and Adversarial Training with Large Speech Language Models


Benchmark for Answering Existential First Order Queries with Single Free Variable (NeurIPS dataset and benchmark 2021)

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

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

Logic Embeddings for Complex Query Answering