CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

Benchmarking and survey of explanation methods for black box models

On the computation of counterfactual explanations -- A survey

Convex Density Constraints for Computing Plausible Counterfactual Explanations

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

Conference on Fairness, Accountability and Transparency

Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning

Ensemble of Counterfactual Explainers

Efficient computation of contrastive explanations

"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of
  Counterfactual Explanations

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

Contrastive Explanations for Explaining Model Adaptations


RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables


Creative Commons Attribution 4.0 International

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.


Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Face Recognition: Primates in the Wild

Real masks and spoof faces: On the masked face presentation attack detection

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

Recognizing Families In the Wild (RFIW): The 4th Edition

On the Capacity of Face Representation

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces


Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Wide Residual Networks

ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks)


In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image.  (Pytorch)

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

International journal of computer vision

Visualizing and Understanding Convolutional Networks

CBAM: Convolutional Block Attention Module

Learning Deep Features for Discriminative Localization

Axiomatic Attribution for Deep Networks

Striving for Simplicity: The All Convolutional Net

Residual Attention Network for Image Classification

SmoothGrad: removing noise by adding noise


compact Earth system model

Historical CO2 emissions from land use and land cover change and their uncertainty

Path-dependent reductions in CO2 emission budgets caused by permafrost carbon release

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response

How the Glasgow Declaration on Forests can help keep alive the 1.5 °C target

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

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

Aligning climate scenarios to emissions inventories shifts global benchmarks

Source Attributions of Radiative Forcing by Regions, Sectors, and Climate Forcers


GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

Differentially Private Decoupled Graph Convolutions for Multigranular
  Topology Protection


Python tool for colorizing and combining fits images.

A Significant Excess in Major Merger Rate for AGNs with the Highest Eddington Ratios at z < 0.2

GASTON: Galactic Star Formation with NIKA2-evidence for the mass growth of star-forming clumps

Monthly Notices of the Royal Astronomical Society

A Herschel study of G214.5-1.8: a young, cold and quiescent giant
  molecular filament on the shell of a HI superbubble


Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease

Genome-wide study of the effect of blood collection tubes on the cell-free DNA methylome

Evaluating liquid biopsies for methylomic profiling of prostate cancer

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment

Accurate age prediction from blood using a small set of DNA methylation sites and a cohort-based machine learning algorithm


Language Model based sentences scoring library

Data-to-Text Generation with Iterative Text Editing

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

Zero-shot hashtag segmentation for multilingual sentiment analysis

Small Model and In-Domain Data Are All You Need


Miscellaneous functions for metagenomic analysis.

Phylogenetic conservation of bacterial responses to soil nitrogen addition across continents

Phylogeny- and Abundance-Based Metrics Allow for the Consistent Comparison of Core Gut Microbiome Diversity Indices Across Host Species

Randomized Double-Blind Crossover Study for Evaluating a Probiotic Mixture on Gastrointestinal and Behavioral Symptoms of Autistic Children

Trachymyrmex septentrionalisants promote fungus garden hygiene usingTrichoderma-derived metabolite cues

Broad Dissemination of Plasmids across Groundwater-Fed Rapid Sand Filter Microbiomes

Longitudinal and Comparative Analysis of Gut Microbiota of Tunisian Newborns According to Delivery Mode

Comparative analysis of scalp and gut microbiome in androgenetic alopecia: A Korean cross-sectional study

Characterization of the Soil Bacterial Community from Selected Boxwood Gardens across the United States


AssemblyNet: 3D Whole Brain MRI segmentation pipeline

Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models

Interpretable differential diagnosis for Alzheimer's disease and
  Frontotemporal dementia

Lifespan neurodegeneration of the human brain in multiple sclerosis

bioRxiv : the preprint server for biology

Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence

Deep grading for MRI-based differential diagnosis of Alzheimer's disease
  and Frontotemporal dementia


This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".

ATST: Audio Representation Learning with Teacher-Student Transformer

Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks


Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing

Model-Powered Conditional Independence Test

CCMI : Classifier based Conditional Mutual Information Estimation

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection


Joint Learning of Character and Word Embeddings

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Improved Word Representation Learning with Sememes

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

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Empirical Methods in Natural Language Processing

Multi-Granularity Chinese Word Embedding

Learning Chinese Word Representations From Glyphs Of Characters

VCWE: Visual Character-Enhanced Word Embeddings

Exploiting Word Internal Structures for Generic Chinese Sentence Representation

Word and Document Embeddings based on Neural Network Approaches

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View

Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives


[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

GIT: A Generative Image-to-text Transformer for Vision and Language

Multimodal Contrastive Training for Visual Representation Learning

CASTing Your Model: Learning to Localize Improves Self-Supervised Representations

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles


An adaptive algorithm for anomaly and novelty detection in evolving data streams

Neural Network Retraining for Model Serving

Standardized Evaluation of Machine Learning Methods for Evolving Data
  Streams


[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

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

Bayesian GAN

Bayesian CycleGAN via Marginalizing Latent Sampling.


Craft poisoned data using MetaPoison

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

MetaPoison: Practical General-purpose Clean-label Data Poisoning

CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets

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


A roadmap for the computation of persistent homology

Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

Strong Collapse for Persistence

Minimal Cycle Representatives in Persistent Homology Using Linear Programming: An Empirical Study With User’s Guide


Pathway-Level Information Extractor (PLIER): a generative model for gene expression data

MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease

Pathway-Level Information ExtractoR (PLIER) for gene expression data

Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants


Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

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

Backdoor Cleansing with Unlabeled Data

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

Reconstructive Neuron Pruning for Backdoor Defense

Model-Contrastive Learning for Backdoor Defense


Deep Learning on Graphs: A Survey

Few-Shot Learning with Graph Neural Networks

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation


ABS: Scanning Neural Networks for Back-doors by  Artificial Brain Stimulation

Trigger Hunting with a Topological Prior for Trojan Detection

Backdoor Attack through Frequency Domain

Toward a Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

DECK: Model Hardening for Defending Pervasive Backdoors

SGBA: A stealthy scapegoat backdoor attack against deep neural networks

Horizontal Class Backdoor to Deep Learning

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

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

Learning Topological Representations for Deep Image Understanding


A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

CoDesc: A Large Code-Description Parallel Dataset


Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Recent advances and applications of deep learning methods in materials science


Compact Language Detector 2

Quality and quantity are not always positively correlated: A case study of Chinese economics journals

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on
  Reasoning, Hallucination, and Interactivity

Jukebox: A Generative Model for Music

Automatic Language Identification in Texts: A Survey

Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training

When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages

Workshop on NLP for Similar Languages, Varieties and Dialects


Code for biostar tutorials - mostly R and Perl

Pre-conditioning modifies the TME to enhance solid tumor CAR T cell efficacy and endogenous protective immunity

Molecular therapy : the journal of the American Society of Gene Therapy

Tumor Derived Extracellular Vesicles Drive T Cell Exhaustion in Tumor Microenvironment through Sphingosine Mediated Signaling and Impacting Immunotherapy Outcomes in Ovarian Cancer

Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population

Alzheimer's & dementia. Diagnosis, assessment & disease monitoring

Multifunctional RNA-binding proteins influence mRNA abundance and translational efficiency of distinct sets of target genes

Interactions of Both Pathogenic and Nonpathogenic CUG Clade Candida Species with Macrophages Share a Conserved Transcriptional Landscape

Tetraploidization of Immortalized Myoblasts Induced by Cell Fusion Drives Myogenic Sarcoma Development with DMD Deletion

Monocarboxylate Transporters Are Involved in Extracellular Matrix Remodelling in Pancreatic Ductal Adenocarcinoma

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors


This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.

Focal Loss for Dense Object Detection

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection


NeRFBK: Different datasets for evaluating NeRF-based methods for 3D reconstruction

A Critical Analysis of NeRF-Based 3D Reconstruction

NERF FOR HERITAGE 3D RECONSTRUCTION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences


Sparse Variational Dropout, ICML 2017

Variational Dropout Sparsifies Deep Neural Networks

The State of Sparsity in Deep Neural Networks

Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Bayesian Sparsification of Recurrent Neural Networks

Bayesian Compression for Natural Language Processing


BamDeal: a comprehensive toolkit for bam manipulation

Epitranscriptome Analysis of Oxidative Stressed Retinal Epithelial Cells Depicted a Possible RNA Editing Landscape of Retinal Degeneration

Significant compositional and functional variation reveals the patterns of gut microbiota evolution among the widespread Asian honeybee populations

The mitochondrial genome of Diaphanosoma excisum Sars, 1885 (Crustacea: Branchiopoda: Cladocera) from Hainan Island, China

Chromosome-level Genome of the Muskrat (Ondatra zibethicus)

The first high-quality chromosome-level genome of the Sipuncula Sipunculus nudus using HiFi and Hi-C data


UFold: fast and accurate RNA secondary structure prediction with deep learning

Deep learning models for RNA secondary structure prediction (probably) do not generalize across families

Deep Learning in RNA Structure Studies

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery


[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters

Unsupervised Long-Term Person Re-Identification with Clothes Change


Recent progress on domain adaption/generalization for medical image segmentation

'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

Test-time adaptable neural networks for robust medical image segmentation

NuClick: A deep learning framework for interactive segmentation of microscopic images

Disentangle domain features for cross-modality cardiac image segmentation

Anatomy-guided Multimodal Registration by Learning Segmentation without
  Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and
  Registration

Diverse data augmentation for learning image segmentation with cross-modality annotations

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets


Genome-scale design tool for oligo hybridization probes

OligoMiner provides a rapid, flexible environment for the design of genome-scale oligonucleotide in situ hybridization probes

Simultaneous epigenetic perturbation and genome imaging reveal distinct roles of H3K9me3 in chromatin architecture and transcription

Transcription-coupled structural dynamics of topologically associating domains regulate replication origin efficiency

OligoMinerApp: a web-server application for the design of genome-scale oligonucleotide in situ hybridization probes through the flexible OligoMiner environment

Spatiotemporal patterns of neuronal subtype genesis suggest hierarchical development of retinal diversity

Mammalian type opsin 5 preferentially activates G14 in Gq-type G proteins triggering intracellular calcium response

Probe-Seq: Method for RNA Sequencing of Specific Cell Types from Animal Tissue.


今日头条中文新闻（文本）分类数据集

CLUE: A Chinese Language Understanding Evaluation Benchmark

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Towards artificial general intelligence via a multimodal foundation model

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training
  for Language Understanding and Generation

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

A Text classification algorithm based on topic model and convolutional neural network

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph

Does Chinese BERT Encode Word Structure?

Learning from a Lightweight Teacher for Efficient Knowledge Distillation


An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

Decoupling Features in Hierarchical Propagation for Video Object
  Segmentation

Scalable Video Object Segmentation with Identification Mechanism

Video Object Segmentation in Panoptic Wild Scenes


COYO-700M: Large-scale Image-Text Pair Dataset

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

Hierarchical Text-Conditional Image Generation with CLIP Latents

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality

Qwen-VL: A Versatile Vision-Language Model for Understanding,
  Localization, Text Reading, and Beyond

Reproducible scaling laws for contrastive language-image learning

DataComp: In search of the next generation of multimodal datasets

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
  Diffusion Models

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language
  Models' Alignment

Multimodal Foundation Models: From Specialists to General-Purpose
  Assistants


nway -- Bayesian cross-matching of astronomical catalogues

Finding counterparts for All-sky X-ray surveys with Nway: a Bayesian
  algorithm for cross-matching multiple catalogues

Monthly notices of the Royal Astronomical Society

The XMM-SERVS survey: New XMM-Newton point-source catalogue for the XMM-LSS field

First constraints on the AGN X-ray luminosity function at z ~ 6 from an eROSITA-detected quasar

The eROSITA Final Equatorial-Depth Survey (eFEDS): A multiwavelength view of WISE mid-infrared galaxies/active galactic nuclei

The ROSAT Raster survey in the north ecliptic pole field

The Chandra Source Catalog Normal Galaxy Sample

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


EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Towards Robust Vision Transformer

A Light Recipe to Train Robust Vision Transformers

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective

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

Discrete Representations Strengthen Vision Transformer Robustness

Enhance the Visual Representation via Discrete Adversarial Training

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

OODRobustBench: benchmarking and analyzing adversarial robustness under
  distribution shift

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts


VQ-VAE for Acoustic Unit Discovery and Voice Conversion

Neural Discrete Representation Learning

Unsupervised Speech Representation Learning Using WaveNet Autoencoders

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

Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed
  Stochastic Quantization

Robust universal neural vocoding

Discrete representations in neural models of spoken language


1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences


Aspect Term Extraction with History Attention and Selective Transformation (IJCAI 2018)

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews


Dense hybrid representations for text retrieval

Densifying Sparse Representations for Passage Retrieval by
  Representational Slicing

A Dense Representation Framework for Lexical and Semantic Matching

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval


Haste: a fast, simple, and open RNN library

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Layer Normalization

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN


Official GitHub for CTAB-GAN+

TabDDPM: Modelling Tabular Data with Diffusion Models

CTAB-GAN+: Enhancing Tabular Data Synthesis

Adversarial random forests for density estimation and generative
  modeling

DP-TBART: A Transformer-based Autoregressive Model for Differentially
  Private Tabular Data Generation

TabuLa: Harnessing Language Models for Tabular Data Synthesis


Software implementing the Latent Causal Variable Model

GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression

Investigating the effect of glycaemic traits on the risk of psychiatric illness using Mendelian randomisation

Empirical comparisons of multiple Mendelian randomization approaches in the presence of assortative mating

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

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

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

The genetic architecture of human amygdala volumes and their overlap with common brain disorders

Genetically informed precision drug repurposing for lung function and implications for respiratory infection

Genetic and epidemiological analyses of infection load and its relationship with psychiatric disorders


MoCo with Alignment and Uniformity Loss.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Geometry on the Hypersphere

Compressed-VFL: Communication-Efficient Learning with Vertically
  Partitioned Data

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive
  Learning


Implementation of  "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions

Utilizing Self-supervised Representations for MOS Prediction

LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT


Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Automatic Clipping: Differentially Private Deep Learning Made Easier and
  Stronger

Differentially Private Bias-Term only Fine-tuning of Foundation Models

Differentially Private Optimization on Large Model at Small Cost

On the accuracy and efficiency of group-wise clipping in differentially
  private optimization


Ἀνατομή is a PyTorch library to analyze representation of neural networks

Grounding Representation Similarity with Statistical Testing

Does MAML Only Work via Feature Re-use? A Data Centric Perspective

Is Pre-training Truly Better Than Meta-Learning?


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

A roadmap for the computation of persistent homology

An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists

Geometry Helps to Compare Persistence Diagrams

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams

Tree-Sliced Variants of Wasserstein Distances

Non-empirical identification of trigger sites in heterogeneous processes using persistent homology

A Persistent Homology Approach to Heart Rate Variability Analysis With an Application to Sleep-Wake Classification

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification

Sampling real algebraic varieties for topological data analysis


my implement of my paper

One-class graph neural networks for anomaly detection in attributed networks

DAGAD: Data Augmentation for Graph Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


An accessible and flexible tool for fitting demographic models with dadi using custom or published models (available here), conducting goodness of fit tests, and plotting.

Ancestral and neo-sex chromosomes contribute to population divergence in a dioecious plant

Phylogeography and the Evolutionary History of Sunflower (Helianthus annuus L.): Wild Diversity and the Dynamics of Domestication

Evidence for Glacial Refugia of the Forest Understorey Species Helleborus niger (Ranunculaceae) in the Southern as Well as in the Northern Limestone Alps


Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch

Generative 3D Part Assembly via Dynamic Graph Learning

RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly

Breaking Bad: A Dataset for Geometric Fracture and Reassembly


A sequence-to-sequence voice conversion toolkit.

Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining

Pretraining Techniques for Sequence-to-Sequence Voice Conversion


Code for generating Higher-order Network (HON) from data with higher-order dependencies

Representing higher-order dependencies in networks

HONEM: Learning Embedding for Higher Order Networks

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.

Representing Big Data as Networks: New Methods and Insights


Pytorch implementation of the paper Deep learning for extreme multi-label text classification

A Survey on Text Classification: From Shallow to Deep Learning

Extreme Classification via Adversarial Softmax Approximation

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning
  with Provable Convergence

A Survey on Extreme Multi-label Learning


Understanding the Difficulty of Training Transformers

Very Deep Transformers for Neural Machine Translation

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

B2T Connection: Serving Stability and Performance in Deep Transformers


Metaphor classification for verbs and content words

A Report on the 2018 VUA Metaphor Detection Shared Task

North American Chapter of the Association for Computational Linguistics

A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task

Meeting of the Association for Computational Linguistics

Semantic classifications for detection of verb metaphors

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

A Corpus of Non-Native Written English Annotated for Metaphor

An analysis of language models for metaphor recognition

International Conference on Computational Linguistics

MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions


Repository for "Differentiable Causal Discovery from Interventional Data"

Efficient Neural Causal Discovery without Acyclicity Constraints

Interventional Causal Representation Learning

Learning Neural Causal Models with Active Interventions


Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

DARTS: Differentiable Architecture Search

Betty: An Automatic Differentiation Library for Multilevel Optimization

Saliency-Aware Neural Architecture Search

Making Scalable Meta Learning Practical


Work in progress transmit from Google Code

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

Word-Entity Duet Representations for Document Ranking

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for
  Indic Languages

Focused Crawl of Web Archives to Build Event Collections

Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard

Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS

The Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools

Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers

Comparison of Visual and Logical Character Segmentation in Tesseract OCR Language Data for Indic Writing Scripts

Australasian Language Technology Association Workshop


A PyTorch implementation of MobileNet V2 architecture and pretrained model.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Data-Free Quantization Through Weight Equalization and Bias Correction

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

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training

GolfDB: A Video Database for Golf Swing Sequencing

FP8 versus INT8 for efficient deep learning inference

Grafted network for person re-identification


Software for generating a brain-predicted age value, using Gaussian Processes regression, implemented in R

Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme

Organ aging signatures in the plasma proteome track health and disease

Brain-age is associated with progression to dementia in memory clinic patients

Accelerated brain aging in major depressive disorder and antidepressant treatment response: A CAN-BIND report

Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health

Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family Study

Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test-retest reliability of publicly available software packages

Network Modeling Sex Differences in Brain Integrity and Metabolic Health

Brain-Predicted Age Difference Moderates the Association Between Muscle Strength and Mobility


Few scripts facilitating the extraction of info from Repeat Masker .out files

Structure of the germline genome of Tetrahymena thermophila and relationship to the massively rearranged somatic genome

Improved Genome Assembly and Annotation for the Rock Pigeon (Columba livia)

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Zenodo (CERN European Organization for Nuclear Research)

The transposable element-rich genome of the cereal pest Sitophilus oryzae

Nanopore Sequencing and De Novo Assembly of a Black-Shelled Pacific Oyster (Crassostrea gigas) Genome

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

Emergence and diversification of a highly invasive chestnut pathogen lineage across southeastern Europe

Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads

A chromosome-scale genome assembly of the tomato pathogen Cladosporium fulvum reveals a compartmentalized genome architecture and the presence of a dispensable chromosome

Improved Reference Genome for Cyclotella cryptica CCMP332, a Model for Cell Wall Morphogenesis, Salinity Adaptation, and Lipid Production in Diatoms (Bacillariophyta)


Reads a state transition system and performs property checking

SOSP - I4: incremental inference of inductive invariants for verification of distributed protocols

Symposium on Operating Systems Principles

Model Checking of Verilog RTL Using IC3 with Syntax-Guided Abstraction

Pono: A Flexible and Extensible SMT-Based Model Checker

AVR: Abstractly Verifying Reachability

Tools and Algorithms for Construction and Analysis of Systems

Towards an Automatic Proof of Lamport's Paxos


Python package for combining diarization system outputs.

DOVER-Lap: A Method for Combining Overlap-aware Diarization Outputs

The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap.

DOVER: A Method for Combining Diarization Outputs

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem

PP-MET: A Real-World Personalized Prompt Based Meeting Transcription System


UniRep model, usage, and examples.

Pretraining model for biological sequence data

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

Predicting the antigenic evolution of SARS-COV-2 with deep learning

Identification of plant vacuole proteins by exploiting deep representation learning features

Computational and structural biotechnology journal

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates

Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava


An open-source deep learning platform for annotation-efficient medical image computing

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

Semi-Supervised Medical Image Segmentation via Cross Teaching between
  CNN and Transformer

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

PA-Seg: Learning from Point Annotations for 3D Medical Image
  Segmentation using Contextual Regularization and Cross Knowledge Distillation

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained
  on a Large-Scale Unannotated Dataset

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy


:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

LION: Latent Point Diffusion Models for 3D Shape Generation


Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba

GDPNet: Refining Latent Multi-View Graph for Relation Extraction

Series2Vec: Similarity-based Self-supervised Representation Learning for
  Time Series Classification

SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations

IEEE International Conference on Acoustics, Speech, and Signal Processing


A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Entropic Out-of-Distribution Detection

International Joint Conference on Neural Network

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

IEEE transactions on neural networks and learning systems

Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy


Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BEiT: BERT Pre-Training of Image Transformers

Unified Language Model Pre-training for Natural Language Understanding and Generation

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

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Pseudo-Masked Language Models for Unified Language Model Pre-Training

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

The Hidden Uniform Cluster Prior in Self-Supervised Learning


A pipeline used to identify different modes of duplicated gene pairs

Gene duplication and evolution in recurring polyploidization–diploidization cycles in plants

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

The Cycas genome and the early evolution of seed plants

Chromosome-Scale Genome Assembly for Chinese Sour Jujube and Insights Into Its Genome Evolution and Domestication Signature

Genome-Wide Identification and Characterization of FBA Gene Family in Polyploid Crop Brassica napus

International journal of molecular sciences

Genome-Wide Identification and Functional Investigation of 1-Aminocyclopropane-1-carboxylic Acid Oxidase (ACO) Genes in Cotton

The Origin and Evolution of RNase T2 Family and Gametophytic Self-incompatibility System in Plants

A Comprehensive Identification and Function Analysis of Serine/Arginine-Rich (SR) Proteins in Cotton (Gossypium spp.)

Multi-Omics Analysis Reveals the Dynamic Changes of RNA N6-Methyladenosine in Pear (Pyrus bretschneideri) Defense Responses to Erwinia amylovora Pathogen Infection


A repository to quickly generate synthetic data and associated trojaned deep learning models

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans
  into Deep Learning Models

Trigger Hunting with a Topological Prior for Trojan Detection

Topological Detection of Trojaned Neural Networks

Detecting Trojaned DNNs Using Counterfactual Attributions

Learning Topological Representations for Deep Image Understanding


code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse
  Actions, Interventions and Sparse Temporal Dependencies

Revisiting Factorizing Aggregated Posterior in Learning Disentangled
  Representations

Video Reenactment as Inductive Bias for Content-Motion Disentanglement


FourQlib is an efficient and portable cryptographic library that provides functions for computing elliptic curve based operations on the high-performance FourQ curve.

FourQ on embedded devices with strong countermeasures against side-channel attacks

Workshop on Cryptographic Hardware and Embedded Systems

Symbolic Verification of Cache Side-channel Freedom

Ultra Lightweight Multiple-Time Digital Signature for the Internet of Things Devices

Energy-Aware Digital Signatures for Embedded Medical Devices

Exposing cache timing side-channel leaks through out-of-order symbolic execution

Proceedings of the ACM on programming languages


Add bisenetv2.  My implementation of BiSeNet

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

IEEE transactions on intelligent transportation systems

Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes


Single-cell RNA-seq denoising using a deep count autoencoder

A comparison of automatic cell identification methods for single-cell RNA sequencing data

Molecular profiling of driver events in metastatic uveal melanoma

Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data

基因组蛋白质组与生物信息学报

SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data

基因组蛋白质组与生物信息学报

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

Unsupervised cell functional annotation for single-cell RNA-seq


Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

MixMatch: A Holistic Approach to Semi-Supervised Learning

Interpolation Consistency Training for Semi-Supervised Learning

Class-Imbalanced Semi-Supervised Learning

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

Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


LatPlan : A domain-independent, image-based classical planner

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

Classical Planning in Deep Latent Space

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS


[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Restormer: Efficient Transformer for High-Resolution Image Restoration

Learning Enriched Features for Fast Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration

Not Just Streaks: Towards Ground Truth for Single Image Deraining

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


Stanford sky images and PV power generation dataset for solar forecasting related research and applications

SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for
  Short-term Solar Forecasting

Open-Source Ground-based Sky Image Datasets for Very Short-term Solar
  Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey

Sky-image-based solar forecasting using deep learning with
  multi-location data: training models locally, globally or via transfer
  learning?

SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky
  Videos from Physics-constrained VideoGPT


LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Learning from Few Samples: A Survey


Machine learning tool to detect landslides from optical satellite imagery


Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

Multi-task Learning based Pre-trained Language Model for Code Completion


Real-World RL Benchmark Suite

Challenges of Real-World Reinforcement Learning

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Balancing Constraints and Rewards with Meta-Gradient D4PG

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification

SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics


Microsatellite instability (MSI) detection for tumor only data.

Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

DACH1 mutation frequency in endometrial cancer is associated with high tumor mutation burden

Intra-Tumoral CD8+ T-Cell Infiltration and PD-L1 Positivity in Homologous Recombination Deficient Pancreatic Ductal Adenocarcinoma


AI for GNU Image Manipulation Program

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

YOLOv4: Optimal Speed and Accuracy of Object Detection

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

AOD-Net: All-in-One Dehazing Network

International Conference on Computer Vision

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Vision Transformers for Dense Prediction

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

Real-Time User-Guided Image Colorization with Learned Deep Priors

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning


Official PyTorch implementation of "Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation", CVPR2021

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

Pyramid Feature Attention Network for Saliency detection


Expanding Explainable K-Means Clustering

Explainable k-Means and k-Medians Clustering

ExKMC: Expanding Explainable k-Means Clustering


This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.

Satellite imaging reveals increased proportion of population exposed to floods


python codes for CIDEr - Consensus-based Image Caption Evaluation

CIDEr: Consensus-based Image Description Evaluation

Deep Reinforcement Learning For Sequence to Sequence Models

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts

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

A request for clarity over the End of Sequence token in the
  Self-Critical Sequence Training


GFF/GTF utility providing format conversions, region filtering, FASTA sequence extraction and more

GFF Utilities: GffRead and GffCompare

CHESS: a new human gene catalog curated from thousands of large-scale RNA sequencing experiments reveals extensive transcriptional noise

PRMD: an integrated database for plant RNA modifications

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

Long non-coding and coding RNA profiling using strand-specific RNA-seq in human hypertrophic cardiomyopathy

Thousands of large-scale RNA sequencing experiments yield a comprehensive new human gene list and reveal extensive transcriptional noise

Trichoplax genomes reveal profound admixture and suggest stable wild populations without bisexual reproduction

High-quality Schistosoma haematobium genome achieved by single-molecule and long-range sequencing

Genome of the tropical plant Marchantia inflexa: implications for sex chromosome evolution and dehydration tolerance


Cornell Touchdown natural language navigation and spatial reasoning dataset.

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation


R-Drop: Regularized Dropout for Neural Networks

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

The Path to Continuous Domain Adaptation Improvements by HW-TSC for the WMT23 Biomedical Translation Shared Task

Proceedings of the Eighth Conference on Machine Translation

BIT-Xiaomi’s System for AutoSimTrans 2022

Proceedings of the Third Workshop on Automatic Simultaneous Translation


Luxembourg SUMO Traffic (LuST) Scenario

Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data

ISPRS international journal of geo-information

Analyzing cooperative monitoring and dissemination of critical mobile events by VANETs

What am I testing and where? Comparing testing procedures based on lightweight requirements annotations

Social-based Cooperation of Vehicles for Data Dissemination of Critical Urban Events

Improving the generalizability and robustness of large-scale traffic signal control


treeWAS: A Phylogenetic Tree-Based Tool for Genome-Wide Association Studies in Microbes

A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination

A comprehensive analysis of genetic diversity of EBV reveals potential high-risk subtypes associated with nasopharyngeal carcinoma in China


SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure


[CVPR 2023 Highlight] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

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

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Revisiting Self-Supervised Visual Representation Learning

A Survey of Deep Learning for Scientific Discovery

Automatic Shortcut Removal for Self-Supervised Representation Learning


Dual Graph Convolution Networks

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Revisiting Semi-Supervised Learning with Graph Embeddings

Deep Learning on Graphs: A Survey


Temporal Moment(Action) Localization via Language / Temporal Language Grounding / Video Moment Retrieval

Cross-modal Moment Localization in Videos

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Dual Path Interaction Network for Video Moment Localization

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

STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization

Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization


An implementation of Highway Networks in Caffe

LSTM: A Search Space Odyssey

Highway Networks

Training Very Deep Networks

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network


Incorporating BERT into Neural Machine Translation

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction

Code-switching pre-training for neural machine translation

Neural Inverse Text Normalization

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

Chinese Grammatical Correction Using BERT-based Pre-trained Model

Probing Multi-modal Machine Translation with Pre-trained Language Model

Meeting of the Association for Computational Linguistics

LIMSI @ WMT 2020

Empirical Methods in Natural Language Processing

Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation

FJWU participation for the WMT20 Biomedical Translation Task


Hierarchical Neural Relation Extraction

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

A Question-answering Based Framework for Relation Extraction Validation

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception


Stanford CoNLL 2018 Graph-based Dependency Parser

Simpler but More Accurate Semantic Dependency Parsing

Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training

Dependency Parsing for Spoken Dialog Systems


State of the art Semantic Sentence Embeddings

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Semantic Re-tuning with Contrastive Tension

International Conference on Learning Representations

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Sentence Embeddings by Ensemble Distillation


Official PyTorch Implementation of SAGPool - ICML 2019

Self-Attention Graph Pooling

Learning to Pool in Graph Neural Networks for Extrapolation

State of the Art and Potentialities of Graph-level Learning


UmBERTo: an Italian Language Model trained with Whole Word Masking.

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

What the [MASK]? Making Sense of Language-Specific BERT Models

Italy goes to Stanford: a collection of CoreNLP modules for Italian

Pre-training Polish Transformer-based Language Models at Scale

Killing me softly: Creative and cognitive aspects of implicitness in abusive language online

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


Identifying Y-chromosome haplogroups in arbitrarily large samples of sequenced or genotyped men

The population genomics of archaeological transition in west Iberia: Investigation of ancient substructure using imputation and haplotype-based methods

Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe

Archaeogenomic distinctiveness of the Isthmo-Colombian area

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

Y-Chromosome Genetic Analysis of Modern Polish Population

First Glimpse into the Genomic Characterization of People from the Imperial Roman Community of Casal Bertone (Rome, First–Third Centuries AD)

Limited Effect of Y Chromosome Variation on Coronary Artery Disease and Mortality in UK Biobank-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology

Fine-Scale Genetic Structure in the United Arab Emirates Reflects Endogamous and Consanguineous Culture, Population History, and Geography

Genetic admixture and language shift in the medieval Volga-Oka interfluve


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

Accurate Shapley Values for explaining tree-based models

The Shapley Value of coalition of variables provides better explanations

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

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


WGDI: A user-friendly toolkit for evolutionary analyses of whole-genome duplications and ancestral karyotypes

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Differences in pseudogene evolution contributed to the contrasting flavors of turnip and Chiifu, two Brassica rapa subspecies

Gapless genome assembly of East Asian finless porpoise

Chromosome-Level Genome Assembly of the Rare and Endangered Tropical Plant Speranskia yunnanensis (Euphorbiaceae)


Pre-Trained Chinese XLNet（中文XLNet预训练模型）

Revisiting Pre-Trained Models for Chinese Natural Language Processing

CLUE: A Chinese Language Understanding Evaluation Benchmark

A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo

Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis

Identifying Cultural Differences through Multi-Lingual Wikipedia.

Context-Aware Coherent Speaking Style Prediction with Hierarchical Transformers for Audiobook Speech Synthesis


Single-cell RNA-seq Gene Expression Recovery

SAVER: gene expression recovery for single-cell RNA sequencing

False signals induced by single-cell imputation

SAVER: Gene expression recovery for UMI-based single cell RNA sequencing

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification

Mouse and Human Single Pancreatic Β Cell Transcriptomics Reveal Sexual Dimorphism of Transcriptomes and Identify Sex-Dependent Type 2 Diabetes Altered Genes

scRNA‐seq data analysis method to improve analysis performance

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

Imputation Methods for scRNA Sequencing Data


A comprehensive list of published machine learning applications to cosmology

The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence

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

Applications and Techniques for Fast Machine Learning in Science

Nonlinear 3D cosmic web simulation with heavy-tailed generative adversarial networks

The CAMELS project: public data release

Deconfusing intensity maps with neural networks

Galaxies and haloes on graph neural networks: Deep generative modelling scalar and vector quantities for intrinsic alignment

A convolutional-neural-network estimator of CMB constraints on dark matter energy injection

Journal of Cosmology and Astroparticle Physics


Continuous Conditional Generative Adversarial Networks (CcGAN)

Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms

Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression

Learning Proposals for Practical Energy-Based Regression


IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)

Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond

When to Fold'em: How to answer Unanswerable questions


PyTorch implementation of the Option-Critic framework, Harb et al. 2016

The Option-Critic Architecture

Learning Options via Compression


An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts

PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis

T3D: Towards 3D Medical Image Understanding through Vision-Language
  Pre-training


A one stop shop for all of your activity recognition needs.

Learning Spatiotemporal Features with 3D Convolutional Networks

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

M-PACT: An Open Source Platform for Repeatable Activity Classification Research


[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited

Augmentation-Free Graph Contrastive Learning with Performance Guarantee

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

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Single-Pass Contrastive Learning Can Work for Both Homophilic and
  Heterophilic Graph

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

Simple and Asymmetric Graph Contrastive Learning without Augmentations

On Performance Discrepancies Across Local Homophily Levels in Graph
  Neural Networks


Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Representation Learning for Dynamic Graphs: A Survey

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Dynamic Network Embedding Survey

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

Language Models Can Improve Event Prediction by Few-Shot Abductive
  Reasoning


PyTorch implementation of DGCNN

Distance metric learning for graph structured data

State of the Art and Potentialities of Graph-level Learning


:headphones: lead sheet datasets in various formats

Automatic Melody Harmonization via Reinforcement Learning by Exploring Structured Representations for Melody Sequences

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment

Exploring Inherent Properties of the Monophonic Melody of Songs

MuSFA: Improving Music Structural Function Analysis with Partially
  Labeled Data


PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Hybrid Generative-Contrastive Representation Learning


High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Continuous learning of spiking networks trained with local rules


MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage/document ranking

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need

Are Neural Ranking Models Robust?


NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors

Improved peak-calling with MACS2

The bowfin genome illuminates the developmental evolution of ray-finned fishes

Epigenetic dysregulation from chromosomal transit in micronuclei

Dynamic PRC1-CBX8 stabilizes a porous structure of chromatin condensates

bioRxiv : the preprint server for biology


GSEE: Global Solar Energy Estimator

Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data

Energy self-sufficient households with photovoltaics and electric vehicles are feasible in temperate climate

Optimized Balance Between Electricity Load and Wind-Solar Energy Production

Comprehensive analysis of tropical rooftop PV project: A case study in nanning


[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza

Universal Dependency Parsing from Scratch

Multi-Task Supervised Pretraining for Neural Domain Adaptation

Improving UD processing via satellite resources for morphology

Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)


Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

3D-aware Blending with Generative NeRFs

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Masked Diffusion as Self-supervised Representation Learner

Gradpaint: Gradient-Guided Inpainting with Diffusion Models


Lightweight and scalable framework for Reinforcement Learning

Remember and Forget for Experience Replay

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

Automating Turbulence Modeling by Multi-Agent Reinforcement Learning

Learning swimming escape patterns for larval fish under energy constraints


Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Evaluating Word Embedding Models: Methods and Experimental Results

APSIPA transactions on signal and information processing

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Unsupervised Neural Text Simplification

A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study (Preprint)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings


ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

DADA: Depth-aware Domain Adaptation in Semantic Segmentation

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

Robust Deep Learning for Autonomous Driving

Target Consistency for Domain Adaptation: when Robustness meets
  Transferability

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation


python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

The Voronoi tessellation method in astronomy

Kernel-Based Ensemble Learning in Python


StyleGAN - Official TensorFlow Implementation

A Style-Based Generator Architecture for Generative Adversarial Networks

Analyzing and Improving the Image Quality of StyleGAN

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

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

Deep Learning for Deepfakes Creation and Detection: A Survey

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

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

What makes fake images detectable? Understanding properties that generalize

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models


Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices

DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization

PROCEEDINGS OF THE 28TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS (ISSTA '19)

Latent error prediction and fault localization for microservice applications by learning from system trace logs

Root cause detection in a service-oriented architecture

Measurement and Modeling of Computer Systems

Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments

Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications

AutoMAP: Diagnose Your Microservice-based Web Applications Automatically

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

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Delta Debugging Microservice Systems

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)


XicTools: Xic graphical editor, WRspice circuit simulator, and accessories. for electronic design.

Inductance of superconductor integrated circuit features with sizes down to 120 nm

Superconductor science and technology/Superconductor science & technology

Electronic Design Automation tools for superconducting circuits

Mutual and Self-Inductance in Planarized Multilayered Superconductor Integrated Circuits: Microstrips, Striplines, Bends, Meanders, Ground Plane Perforations

SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Measurement and data-assisted simulation of bit error rate in RQL circuits


R package for detecting Twitter bots via machine learning

Correction to: Disinformation in Open Online Media

Multidisciplinary International Symposium on Disinformation in Open Online Media

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

Twitter Spam and False Accounts Prevalence, Detection and
  Characterization: A Survey

Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis

The influence of fake accounts on sentiment analysis related to COVID-19 in Indonesia

Investigating dissemination of scientific information on Twitter: A study of topic networks in opioid publications

Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation

Pooches on a platform: Text mining twitter for sector perceptions of dogs during a global pandemic


2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

Visual Data Analysis and Simulation Prediction for COVID-19

An Improved STL-LSTM Model for Daily Bus Passenger Flow Prediction during the COVID-19 Pandemic

COVID-19 Asymptomatic Infection Estimation

Simulating the spread of epidemics in China on multi-layer transportation networks: Beyond COVID-19 in Wuhan

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Working from home and firm resilience to the COVID‐19 pandemic

Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform

Traffic Density Reduction Caused by City Lockdowns Across the World During the COVID-19 Epidemic: From the View of High-Resolution Remote Sensing Imagery

Modeling of suppression and mitigation interventions in the COVID-19 epidemics


[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.


PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Frustum PointNets for 3D Object Detection from RGB-D Data

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Local Spectral Graph Convolution for Point Set Feature Learning

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Spherical CNNs on Unstructured Grids

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling

IEEE transactions on pattern analysis and machine intelligence

BRepNet: A topological message passing system for solid models

Regularizing Neural Networks via Minimizing Hyperspherical Energy


pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

SecureBERT: A Domain-Specific Language Model for Cybersecurity

Constructing a Knowledge Graph from Textual Descriptions of Software
  Vulnerabilities in the National Vulnerability Database


Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

Meeting of the Association for Computational Linguistics

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Rethinking Self-Attention: An Interpretable Self-Attentive Encoder-Decoder Parser.

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

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

GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language

The International FLAIRS Conference Proceedings


Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

CNN-Based Lidar Point Cloud De-Noising in Adverse Weather

International Conference on Robotics and Automation

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

Semantic Graph Based Place Recognition for 3D Point Clouds

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation


Multi-view Diffusion for 3D Generation

MVDream: Multi-view Diffusion for 3D Generation

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D
  Generation

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and
  Consistent 3D Generation


Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Crop mapping from image time series: deep learning with multi-scale label hierarchies

Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations


Python port of the Twokenize class of ark-tweet-nlp

Improving Twitter Named Entity Recognition using Word Representations

Proceedings of the Workshop on Noisy User-generated Text

IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations

The Role of Features and Context on Suicide Ideation Detection

Australasian Language Technology Association Workshop

Topic and audience effects on distinctively Scottish vocabulary usage in Twitter data

Proceedings of the Workshop on Stylistic Variation

Modeling Temporal Evidence from External Collections

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across
  Age

Using Social Networks to Improve Language Variety Identification with Neural Networks

International Joint Conference on Natural Language Processing

Learning Representations of Social Media Users

CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling

International Workshop on Semantic Evaluation


(CVPR 2021) PRTR: Pose Recognition with Cascade Transformers

End-to-End Object Detection with Transformers

Deep High-Resolution Representation Learning for Visual Recognition

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions


Practical Lossless Compression with Latent Variables using Bits Back Coding

Compressing Multisets with Large Alphabets

Lossless Compression with Latent Variable Models.


DrQ: Data regularized Q

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

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

State Entropy Maximization with Random Encoders for Efficient Exploration

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

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.

A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model

How does the brain represent the semantic content of an image?


Simple, online, and realtime tracking of multiple objects in a video sequence.

Simple online and realtime tracking

International Conference on Information Photonics

Tracking Objects as Points

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

IEEE transactions on geoscience and remote sensing

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

International journal of computer vision

LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices.


On-Device ID Card & Passport & Driver License Recognition SDK for Android

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network


Improved Sentence Alignment in Linear Time and Space

Exploiting Sentence Order in Document Alignment

Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches

Workshop on Building and Using Comparable Corpora

SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP

International Conference on Computational Linguistics

KC4MT: A High-Quality Corpus for Multilingual Machine Translation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Bitext Mining for Low-Resource Languages via Contrastive Learning

Finding the Right Recipe for Low Resource Domain Adaptation in Neural
  Machine Translation

Speaker Diarization of Scripted Audiovisual Content

Domain Adaptation of Machine Translation with Crowdworkers


[ECCV 2020] In-Domain GAN Inversion for Real Image Editing (PyTorch code)

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations

GAN Inversion for Out-of-Range Images with Geometric Transformations

EdiBERT, a generative model for image editing

Auditing AI models for Verified Deployment under Semantic Specifications


GAN, transfer learning, few data.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Differentiable Augmentation for Data-Efficient GAN Training

Few-shot Image Generation via Cross-domain Correspondence

MineGAN: effective knowledge transfer from GANs to target domains with
  few images

Microstructure and properties of nitrogen ion implantation/AlN/CrAlN/MoS2-phenolic resin duplex coatings on magnesium alloys


Kernel Point Convolutions

KPConv: Flexible and Deformable Convolution for Point Clouds

Mix3D: Out-of-Context Data Augmentation for 3D Scenes

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World


DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

Sentence Simplification with Deep Reinforcement Learning

Sentence Simplification with Memory-Augmented Neural Networks

Plug and Play Autoencoders for Conditional Text Generation

On the Helpfulness of Document Context to Sentence Simplification

Reducing Sequence Length by Predicting Edit Operations with Large
  Language Models

Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors

Findings of the Association for Computational Linguistics: EACL 2023


CVNets: A library for training computer vision networks

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

Separable Self-attention for Mobile Vision Transformers

CVNets: High Performance Library for Computer Vision

RangeAugment: Efficient Online Augmentation with Range Learning

Bytes Are All You Need: Transformers Operating Directly On File Bytes

Overcoming the Stability Gap in Continual Learning


Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Knowledge Distillation via the Target-aware Transformer

Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?

The State of Knowledge Distillation for Classification


Pytorch0.4.1 codes for InsightFace

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

EditGAN: High-Precision Semantic Image Editing

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Variational Model Inversion Attacks


A Dataset for Grounded Video Description

Grounded Video Description

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Consensus Graph Representation Learning for Better Grounded Image Captioning

Relational Graph Learning for Grounded Video Description Generation

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

Learning to Generate Grounded Visual Captions without Localization Supervision

A Comprehensive Review on Recent Methods and Challenges of Video
  Description

Event and Entity Extraction from Generated Video Captions


Lexicon-based Named Entity Recognition

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning

Rethinking Negative Sampling for Handling Missing Entity Annotations


In-place Parallel Super Scalar Samplesort (IPS⁴o)

In-place Parallel Super Scalar Samplesort (IPS^4o)

Engineering Faster Sorters for Small Sets of Items

Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme


The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

Using Climate-Sensitive 3D City Modeling to Analyze Outdoor Thermal Comfort in Urban Areas

ISPRS international journal of geo-information


Addressing Failure Prediction by Learning Model Confidence

A Call to Reflect on Evaluation Practices for Failure Detection in Image
  Classification

Learning to Predict Trustworthiness with Steep Slope Loss

Robust Deep Learning for Autonomous Driving


Easy-to-Use Speech MOS predictors

HierSpeech++: Bridging the Gap between Semantic and Acoustic
  Representation of Speech by Hierarchical Variational Inference for Zero-shot
  Speech Synthesis


Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Constitutional AI: Harmlessness from AI Feedback

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language
  Models' Alignment

Training Socially Aligned Language Models on Simulated Social
  Interactions

RLCD: Reinforcement Learning from Contrast Distillation for Language
  Model Alignment

CycleAlign: Iterative Distillation from Black-box LLM to White-box
  Models for Better Human Alignment

Unveiling Safety Vulnerabilities of Large Language Models

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

Data-Efficient Alignment of Large Language Models with Human Feedback
  Through Natural Language


Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020 & TPAMI)

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

Neural Architecture Search Survey: A Computer Vision Perspective


Official implementation of BVAE-TTS

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech

International Conference on Learning Representations

VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention


Efficient GAN-Based Anomaly Detection

Adversarially Learned Anomaly Detection

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

The Right Tool for the Job: Open-Source Auditing Tools in Machine
  Learning

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models


Python 3 Spelling Corrector

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields

JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods

North American Chapter of the Association for Computational Linguistics

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning

Extracting textual overlays from social media videos using neural networks

Examining the potential influence of crosslinguistic lexical similarity on word-choice transfer in L2 English


SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis


Image super-resolution through deep learning

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

Pixel Recursive Super Resolution

Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning

Generator From Edges: Reconstruction of Facial Images


UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

TALL: Temporal Activity Localization via Language Query

Detecting Moments and Highlights in Videos via Natural Language Queries

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Query - Dependent Video Representation for Moment Retrieval and Highlight Detection


The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"

Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised
  Instance Segmentation

Deep Level Set for Box-supervised Instance Segmentation in Aerial Images


:id: Scan contig files against PubMLST typing schemes

PLSDB: a resource of complete bacterial plasmids

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes

Persistent metagenomic signatures of early-life hospitalization and antibiotic treatment in the infant gut microbiota and resistome

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

Deciphering the Structural Diversity and Classification of the Mobile Tigecycline Resistance Gene tet(X)-Bearing Plasmidome among Bacteria

Should payments for environmental services be used to implement zero-deforestation supply chain policies? The case of soy in the Brazilian Cerrado

水动力学研究与进展. A辑

A Klebsiella pneumoniae ST307 outbreak clone from Germany demonstrates features of extensive drug resistance, hypermucoviscosity, and enhanced iron acquisition


Recurrent neural network grammars

Recurrent Neural Network Grammars

DyNet: The Dynamic Neural Network Toolkit

What Do Recurrent Neural Network Grammars Learn About Syntax?

Unsupervised Recurrent Neural Network Grammars

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers

Meeting of the Association for Computational Linguistics


Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".

An empirical study of pre-trained language models in simple knowledge graph question answering


Web application to explore the Sequence Read Archive.

Comprehensive understanding of Tn5 insertion preference improves transcription regulatory element identification

KARAJ: An Efficient Adaptive Multi-Processor Tool to Streamline Genomic and Transcriptomic Sequence Data Acquisition

International journal of molecular sciences


DSIR large-scale data selection framework for language model training

Data Selection for Language Models via Importance Resampling

A Survey on Data Selection for Language Models


A user-friendly workflow for phylogenomics

Single-Cell Genomics of Novel Actinobacteria With the Wood–Ljungdahl Pathway Discovered in a Serpentinizing System

Whole Genome Sequencing and Comparative Genomics of Two Nematicidal Bacillus Strains Reveals a Wide Range of Possible Virulence Factors

Applications and Considerations of GToTree: A User-Friendly Workflow for Phylogenomics

Revealing the chassis-effect on a broad-host-range genetic switch and its concordance with interspecies bacterial physiologies

Hadza Prevotella require diet-derived microbiota-accessible carbohydrates to persist in mice

bioRxiv : the preprint server for biology


WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation

Show, Interpret and Tell: Entity-aware Contextualised Image Captioning
  in Wikipedia

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding

LeanVec: Search your vectors faster by making them fit


Code and Pretrained model for IGCV3

Interleaved Group Convolutions for Deep Neural Networks

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks

IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

Deeply-Fused Nets

Deep Convolutional Neural Networks with Merge-and-Run Mappings


DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning


Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

Wide Residual Networks

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Model compression via distillation and quantization

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features.

Identifying Generalization Properties in Neural Networks

Fast Federated Learning by Balancing Communication Trade-Offs

Growing Efficient Deep Networks by Structured Continuous Sparsification

Score-Based Generative Classifiers

Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting


A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

Deep Residual Learning for Image Recognition

Deep Networks with Stochastic Depth

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

SWNet: Small-World Neural Networks and Rapid Convergence

Dropout is a special case of the stochastic delta rule: faster and more
  accurate deep learning

Confidence Calibration with Bounded Error Using Transformations


A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Multi-Granularity Prediction for Scene Text Recognition

Levenshtein OCR

Vision-Language Pre-Training for Boosting Scene Text Detectors

GeoLayoutLM: Geometric Pre-training for Visual Information Extraction

LORE: Logical Location Regression Network for Table Structure Recognition

Vision Grid Transformer for Document Layout Analysis

Multi-Granularity Prediction with Learnable Fusion for Scene Text
  Recognition

LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition


AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Learning perturbation sets for robust machine learning

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

TSS: Transformation-Specific Smoothing for Robustness Certification

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

On the Strong Correlation Between Model Invariance and Generalization

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation


Denoising Diffusion Implicit Models

Denoising Diffusion Implicit Models

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps

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

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

Noise Estimation for Generative Diffusion Models

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents

Non Gaussian Denoising Diffusion Models

Q-Diffusion: Quantizing Diffusion Models

Denoising Diffusion Gamma Models

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis


graph-theoretic framework for robust pairwise data association

CLIPPER: A Graph-Theoretic Framework for Robust Data Association

GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration

Global Data Association for SLAM with 3D Grassmannian Manifold Objects


Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Discriminative Active Learning

Multi-class Text Classification using BERT-based Active Learning