Utilities for community ecology analysis

Gene Expression Changes and Community Turnover Differentially Shape the Global Ocean Metatranscriptome

Functional and Structural Responses of Arctic and Alpine Soil Prokaryotic and Fungal Communities Under Freeze-Thaw Cycles of Different Frequencies

Diversity and distribution of marine heterotrophic bacteria from a large culture collection

A Temporally Dynamic Gut Microbiome in Atlantic Salmon During Freshwater Recirculating Aquaculture System (RAS) Production and Post-seawater Transfer

Sex-Specific Differences in the Gut Microbiome in Response to Dietary Fiber Supplementation in IL-10-Deficient Mice

Chestnut Shell Tannins: Effects on Intestinal Inflammation and Dysbiosis in Zebrafish

Animals : an open access journal from MDPI

Deciphering the Assembly Processes of the Key Ecological Assemblages of Microbial Communities in Thirteen Full-Scale Wastewater Treatment Plants

Host-Specificity and Core Taxa of Seagrass Leaf Microbiome Identified Across Tissue Age and Geographical Regions

Prokaryotic, Fungal, and Unicellular Eukaryotic Core Communities Across Three Sympatric Marine Sponges From the Southwestern Atlantic Coast Are Dominated Largely by Deterministic Assemblage Processes

Temporal dynamics of freshwater planktonic parasites inferred using a DNA metabarcoding time-series


Deep Keyphrase Generation with Pre-trained Language Models

Pre-trained Language Models for Keyphrase Generation: A Thorough
  Empirical Study

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models


A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Code-Switched Language Models Using Neural Based Synthetic Data from
  Parallel Sentences

From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation

Multilingual transfer learning for code-switched language and speech neural modeling

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


Multi-Graph Convolutional Neural Networks

Deep Learning on Graphs: A Survey

Graph Convolutional Matrix Completion

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Graph Learning based Recommender Systems: A Review

Inductive Graph Neural Networks for Spatiotemporal Kriging

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

Scalable Probabilistic Matrix Factorization with Graph-Based Priors

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

Convolutional Geometric Matrix Completion

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder


The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".

SoK: How Robust is Image Classification Deep Neural Network Watermarking?

Deep Intellectual Property Protection: A Survey

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks


Challenges in Data-to-Document Generation

A Survey on Document-level Neural Machine Translation: Methods and Evaluation

Revisiting Challenges in Data-to-Text Generation with Fact Grounding

International Conference on Natural Language Generation

Stepwise Extractive Summarization and Planning with Structured Transformers

Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation

Meeting of the Association for Computational Linguistics

Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification


The corresponding code for our paper: "Exploring the Challenges of Open Domain Multi-Document Summarization". Do not hesitate to open an issue if you run into any trouble!

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval


code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"

IFCNN: A general image fusion framework based on convolutional neural network

A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network

Perceptual Multi-Exposure Fusion

Multimodal medical image fusion in NSST domain with structural and spectral features enhancement


Official implementation of  HIH:Towards More Accurate Face Alignment via Heatmap in Heatmap

Revisting Quantization Error in Face Alignment

International Conference on Computer Vision

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

A survey and classification of face alignment methods based on face
  models


INTEGRATE-neo: a pipeline for personalized gene fusion neoantigen discovery

Main Strategies for the Identification of Neoantigens

Computational cancer neoantigen prediction: current status and recent advances


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for
  Forecasting Future Links

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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


Code for ICE-BeeM paper - NeurIPS 2020

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Flow Contrastive Estimation of Energy-Based Models

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

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning

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


Identify genes with spatial expression trends in single-cell gene expression data

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities

Analysis and Visualization of Spatial Transcriptomic Data

Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data

Metric learning enables synthesis of heterogeneous single-cell modalities


kmerfreq count K-mer (with size K) frequency from the input sequence data, typically sequencing reads data, and refe rence genome data is also applicable.  Kmerferq output file can be used as input file of either version of GCE (Genomic character estimator).

Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae)

Estimation of genome size using k-mer frequencies from corrected long reads

Draft Genome Assembly of Floccularia luteovirens, an Edible and Symbiotic Mushroom on Qinghai-Tibet Plateau

The Molecular Mechanism of Yellow Mushroom (Floccularia luteovirens) Response to Strong Ultraviolet Radiation on the Qinghai-Tibet Plateau


Correlation coefficients with uncertainties

Multiphase outflows in post-starburst E+A galaxies – I. General sample properties and the prevalence of obscured starbursts

The Bimodal Absorption System Imaging Campaign (BASIC) I. A Dual
  Population of Low-metallicity Absorbers at z <1

The Physical Properties of Low Redshift FeLoBAL Quasars. I. Spectral
  Synthesis Analysis of the BAL Outflows using SimBAL

Radio continuum properties of OH megamaser galaxies

Monthly Notices of the Royal Astronomical Society

Large Myr-old Disks Are Not Severely Depleted of Gas-phase CO or Carbon

12CO (3-2) High-Resolution Survey (COHRS) of the Galactic Plane:
  Complete Data Release

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


Official PyTorch implementation of the TIP paper "Generating Visually Aligned Sound from Videos" and the corresponding Visually Aligned Sound (VAS) dataset.

WaveNet: A Generative Model for Raw Audio

Visual to Sound: Generating Natural Sound for Videos in the Wild

Generating Visually Aligned Sound From Videos

VarietySound: Timbre-Controllable Video to Sound Generation via
  Unsupervised Information Disentanglement


Generalization Ability of MOS Prediction Networks

Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model

The Voicemos Challenge 2023: Zero-Shot Subjective Speech Quality Prediction for Multiple Domains


Provide normal insulator images captured by UAVs and synthetic defective insulator images.

Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis

A Lightweight Algorithm for Insulator Target Detection and Defect Identification

Insu-YOLO: An Insulator Defect Detection Algorithm Based on Multiscale Feature Fusion

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

Weather-Domain Transfer-Based Attention YOLO for Multi-Domain Insulator Defect Detection and Classification in UAV Images


Source code (back-end and front-end) of our main website, which monitors greenhouse gases emissions reports by organizations


Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors

Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model

Generalized Domain Adaptation Framework for Parametric Back-End in Speaker Recognition


A Fast Parallel Algorithm for HDBSCAN* Clustering

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

ACM transactions on knowledge discovery from data

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs


Pytorch implementation of One-Shot Affordance Detection

One-Shot Object Affordance Detection in the Wild

One-Shot Affordance Detection

Phrase-Based Affordance Detection via Cyclic Bilateral Interaction


Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

VIME: Variational Information Maximizing Exploration

Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning

Causal Influence Detection for Improving Efficiency in Reinforcement Learning


An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER

UNITER: UNiversal Image-TExt Representation Learning

VisualBERT: A Simple and Performant Baseline for Vision and Language

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

Toward Unsupervised Realistic Visual Question Answering


[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data

Learning Not to Learn: Training Deep Neural Networks with Biased Data

Learning Unbiased Representations via Mutual Information Backpropagation

Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features


STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS

Generating Steganographic Text with LSTMs

Neural Linguistic Steganography

Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model


This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Context Autoencoder for Self-Supervised Representation Learning

Backdoor Attacks in the Supply Chain of Masked Image Modeling


a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks


Mirror of oflops (cbench) from git://gitosis.stanford.edu/oflops.git

DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

Convolutional Neural Network Based Algorithm for Early Warning Proactive System Security in Software Defined Networks

Machine Learning based Malicious Payload Identification in
  Software-Defined Networking

Experimental Security Analysis of Controller Software in SDNs: A Review


PAML is a program package for model fitting and phylogenetic tree reconstruction using DNA and protein sequence data. Please report only **technical issues** on this repository (e.g., compiling, programs abort or do not run at all, etc.). Problems with input data and general questions should be posted at https://groups.google.com/g/pamlsoftware?pli

Beginner's Guide on the Use of PAML to Detect Positive Selection

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Parallel nonfunctionalization of CK1δ/ε kinase ohnologs following a whole-genome duplication event

bioRxiv : the preprint server for biology

Genomic insights into metabolic flux in hummingbirds

Genomic insights into metabolic flux in ruby-throated hummingbirds


Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME

No Language Left Behind: Scaling Human-Centered Machine Translation

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages


Encodes a PowerShell script in the pixels of a PNG file and generates a oneliner to execute

IMShell-Dec: Pay More Attention to External Links in PowerShell

SUDS: Sanitizing Universal and Dependent Steganography

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models


Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Learning to Prompt for Continual Learning

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning

Transforming Transformers for Resilient Lifelong Learning


This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.

Graph-based Semi-supervised Learning: A Comprehensive Review

Learning a Part-of-Speech Tagger from Two Hours of Annotation

North American Chapter of the Association for Computational Linguistics

Bootstrapped Graph Diffusions

Improving Statistical Machine Translation with a Multilingual Paraphrase Database

Empirical Methods in Natural Language Processing

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch

Microblog Entity Linking by Leveraging Extra Posts

Bootstrapping via Graph Propagation

Microblog Emotion Classification by Computing Similarity in Text, Time, and Space

International Conference on Computational Linguistics

Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing

Learning to Route with Sparse Trajectory Sets---Extended Version


Official Pytorch implementation of CutMix regularizer

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Measuring Robustness to Natural Distribution Shifts in Image Classification

A U-Net Based Discriminator for Generative Adversarial Networks

Few-Shot Domain Adaptation with Polymorphic Transformers

On Feature Normalization and Data Augmentation

A Survey of Deep Learning for Scientific Discovery

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Rethinking the Pruning Criteria for Convolutional Neural Network

LaserMix for Semi-Supervised LiDAR Semantic Segmentation


Tools to convert Illumina IDAT/BPM/EGT/GTC and Affymetrix CEL/CHP files to VCF

Large mosaic copy number variations confer autism risk

Nine out of ten samples were mistakenly switched by The Orang-utan Genome Consortium

Genome-Wide Copy Number Variant and High-Throughput Transcriptomics Analyses of Placental Tissues Underscore Persisting Child Susceptibility in At-Risk Pregnancies Cleared in Standard Genetic Testing

International journal of molecular sciences

The RNA editing landscape in acute myeloid leukemia reveals associations with disease mutations and clinical outcome


VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond


Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

Bayesian Deep Learning via Subnetwork Inference

Structured Dropout Variational Inference for Bayesian Neural Networks


Chainer implementation of Deep Convolutional Generative Adversarial Network

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

A Survey on Generative Adversarial Networks: Variants, Applications, and Training

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks


Unifying cancer and normal RNA sequencing data from different sources

Lead DEAD/H box helicase biomarkers with the therapeutic potential identified by integrated bioinformatic approaches in lung cancer

Computational and structural biotechnology journal

Enabling cross-study analysis of RNA-Sequencing data

Comprehensive analysis reveals signal and molecular mechanism of mitochondrial energy metabolism pathway in pancreatic cancer


causalimages: An R package for performing causal inference with image and image sequence data

Image-based Treatment Effect Heterogeneity

Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities

Estimating Causal Effects Under Image Confounding Bias with an
  Application to Poverty in Africa


[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efﬁcient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

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

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images


Implementation of Learning without Forgetting paper

Learning without Forgetting

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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


2nd place solution for Kaggle Deepfake Detection Challenge

The DeepFake Detection Challenge (DFDC) Dataset

Multi-attentional Deepfake Detection

Adversarial Threats to DeepFake Detection: A Practical Perspective

Deepfake Detection Scheme Based on Vision Transformer and Distillation

DeepFake-o-meter: An Open Platform for DeepFake Detection

Robust Deepfake On Unrestricted Media: Generation And Detection

Assessment Framework for Deepfake Detection in Real-world Situations

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers


Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Inductive Logical Query Answering in Knowledge Graphs

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs

Link Prediction without Graph Neural Networks


Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Benchmarking Domain Adaptation Methods on Aerial Datasets

Graceful Degradation and Related Fields


WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

The journal of machine learning for biomedical imaging

Deep learning - promises for 3D nuclear imaging: a guide for biologists


QAFactEval Summarization Factual Consistency Metric

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Proceedings of the 5th Clinical Natural Language Processing Workshop

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


Zero-Shot Entity Linking by Reading Entity Descriptions

Neural Entity Linking: A Survey of Models Based on Deep Learning

Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking

Findings of the Association for Computational Linguistics: ACL 2022

Improving Zero-Shot Entity Retrieval through Effective Dense Representations

Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information


Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

Modeling Molecular Structures with Intrinsic Diffusion Models

Generating Molecular Conformer Fields


This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition

ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble

Skeleton Based Sign Language Recognition Using Whole-body Keypoints


Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Wasserstein Adversarial Regularization for Learning With Label Noise

IEEE transactions on pattern analysis and machine intelligence

Wasserstein Adversarial Regularization (WAR) on label noise


Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Bayesian Optimisation over Multiple Continuous and Categorical Inputs

Uncertainty in Gradient Boosting via Ensembles

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

On the Pitfalls of Heteroscedastic Uncertainty Estimation with
  Probabilistic Neural Networks

On the Importance of Strong Baselines in Bayesian Deep Learning

Radial and Directional Posteriors for Bayesian Neural Networks

Single Shot MC Dropout Approximation


This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

Scaling Instruction-Finetuned Language Models

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large
  Language Models

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large
  Language Models

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

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks


Embedding Logical Queries on Knowledge Graphs

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

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

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

TAR: Neural Logical Reasoning across TBox and ABox

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

CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs

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


[NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation

Image Segmentation Using Text and Image Prompts

A Simple Baseline for Open-Vocabulary Semantic Segmentation with
  Pre-trained Vision-language Model

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation


Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification

Neural Data Augmentation via Example Extrapolation

Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Segmenting Natural Language Sentences via Lexical Unit Analysis

Parallel Intent and Slot Prediction using MLB Fusion

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models


Learning to query complex networks

Embedding Logical Queries on Knowledge Graphs

SE-KGE: A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting

Message Passing Query Embedding

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE CAPTURE (K-CAP '19)


A nicely formatted LaTeX preprint template

Revisiting the thorny issue of missing values in single-cell proteomics

Did the Musk Takeover Boost Contentious Actors on Twitter?

Interpretable and intervenable ultrasonography-based machine learning
  models for pediatric appendicitis

A Tutorial on Parametric Variational Inference

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

Using visual scores and categorical data for genomic prediction of complex traits in breeding programs

Multiscale Biomolecular Simulations in the Exascale Era

Toxic comments reduce the activity of volunteer editors on Wikipedia


[AAAI 2018] Memory Fusion Network for Multi-view Sequential Learning

Multimodal Transformer for Unaligned Multimodal Language Sequences

Multi-attention Recurrent Network for Human Communication Comprehension

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities

Multimodal sentiment analysis with word-level fusion and reinforcement learning

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining


Train Dense Passage Retriever (DPR) with a single GPU

Dense Passage Retrieval for Open-Domain Question Answering

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Condenser: a Pre-training Architecture for Dense Retrieval

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup


Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

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

Digital Watermarking for Deep Neural Networks

International journal of multimedia information retrieval

Performance Comparison of Contemporary DNN Watermarking Techniques.

Deep Intellectual Property Protection: A Survey

Cracking White-box DNN Watermarks via Invariant Neuron Transforms


Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

The Longest Month: Analyzing COVID-19 Vaccination Opinions Dynamics From Tweets in the Month Following the First Vaccine Announcement

IEEE access : practical innovations, open solutions

Enhancing the Generalization for Text Classification through Fusion of Backward Features

DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction


Learning a Unified Classifier Incrementally via Rebalancing

CL2R: Compatible Lifelong Learning Representations

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications


SimpleNet: A Simple Network for Image Anomaly Detection and Localization

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


A tool for automatic spelling normalization

A Large-Scale Comparison of Historical Text Normalization Systems

North American Chapter of the Association for Computational Linguistics

Improving historical spelling normalization with bi-directional LSTMs and multi-task learning

Normalizing Medieval German Texts: from rules to deep learning

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation


CWL+Singularity implementation of an RNA editing workflow

Singularity: Scientific containers for mobility of compute

Common Workflow Language, v1.0

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

The C. elegans neural editome reveals an ADAR target mRNA required for proper chemotaxis

Evaluation of Engineered CRISPR-Cas-Mediated Systems for Site-Specific RNA Editing.


Enhanced version of the FastQTL QTL mapper

Association analyses identify 31 new risk loci for colorectal cancer susceptibility

eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs

Genome-wide association of phenotypes based on clustering patterns of hand osteoarthritis identify WNT9A as novel osteoarthritis gene

eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


Unsupervised Neural Machine Translation

Unsupervised Neural Machine Translation

Rapid Adaptation of Neural Machine Translation to New Languages

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Unsupervised Neural Machine Translation for English and Manipuri

Unsupervised Mandarin-Cantonese Machine Translation


Learning Invariant Representations for Reinforcement Learning without Reconstruction

Provable RL with Exogenous Distractors via Multistep Inverse Dynamics

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

Learning Domain Invariant Representations in Goal-conditioned Block MDPs

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement
  Learning


Assembly statistic visualisation

Jellyfish genomes reveal distinct homeobox gene clusters and conservation of small RNA processing

Genome sequences identify three families of Coleoptera as morphologically derived click beetles (Elateridae)

Delineating the Tnt1 Insertion Landscape of the Model Legume Medicago truncatula cv. R108 at the Hi-C Resolution Using a Chromosome-Length Genome Assembly

Comparative analysis reveals within-population genome size variation in a rotifer is driven by large genomic elements with highly abundant satellite DNA repeat elements

First Genome Sequence of the Gunnison’s Prairie Dog (Cynomys gunnisoni), a Keystone Species and Player in the Transmission of Sylvatic Plague

De Novo Genome Assembly of the Electric Fish Brachyhypopomus occidentalis (Hypopomidae, Gymnotiformes)

The Chromosome-Scale Reference Genome of Macadamia tetraphylla Provides Insights Into Fatty Acid Biosynthesis

The genome sequence of the Montseny horsehair worm,Gordionus montsenyensissp. nov., a key resource to investigate Ecdysozoa evolution

Biodiversity genomics of small metazoans: high quality de novo genomes from single specimens of field-collected and ethanol-preserved springtails

Comparative Analysis of Annotation Pipelines Using the First Japanese White-Eye (Zosterops japonicus) Genome


PyTorch Code of NAACL 2019 paper "Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout"

How Much Can CLIP Benefit Vision-and-Language Tasks?

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation


[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

Deep Residual Learning for Image Recognition

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift


Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention"

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

Comprehensive Information Integration Modeling Framework for Video Titling

Poet: Product-oriented Video Captioner for E-commerce

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

Fashion Landmark Detection and Category Classification for Robotics


Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Continuous control with deep reinforcement learning

Deep reinforcement learning for portfolio management


Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

MaskPlace: Fast Chip Placement via Reinforced Visual Representation
  Learning

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

AAAI Conference on Artificial Intelligence


Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

Image Restoration by Iterative Denoising and Backward Projections

Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium

Plug-and-Play gradient-based denoisers applied to CT image enhancement

Denoising single images by feature ensemble revisited


This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

Physical Adversarial Attacks on an Aerial Imagery Object Detector

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems

Modeling the Data-Generating Process is Necessary for
  Out-of-Distribution Generalization

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments.

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad

Detection and localization of caries and hypomineralization on dental photographs with a vision transformer model

A Scenario-Based Functional Testing Approach to Improving DNN Performance


Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models

GATSBI: Generative Agent-centric Spatio-temporal Object Interaction

Reusable Slotwise Mechanisms


Python library & examples for Masked Language Model Scoring (ACL 2020)

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Masked Language Model Scoring

Meeting of the Association for Computational Linguistics

Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction

Evaluation of HTR models without Ground Truth Material

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring

Paraphrasing Compound Nominalizations

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

Zero-shot hashtag segmentation for multilingual sentiment analysis

Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization


Conditional implementation for NVIDIA's StyleGAN architecture

Improved Training of Wasserstein GANs

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

LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks


Multi-Scale Convolutional Recurrent Encoder-Decoder

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data


A Multi-modal Model Chinese Spell Checker Released on ACL2021.

Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity

SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking

Block the Label and Noise: An N-Gram Masked Speller for Chinese Spell
  Checking


PacBio hybrid error correction through iterative short read consensus

Reviving the Transcriptome Studies: An Insight Into the Emergence of Single-Molecule Transcriptome Sequencing

Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon

Whole Genome Sequence of an Edible and Potential Medicinal Fungus, Cordyceps guangdongensis

A draft genome assembly of halophyte Suaeda aralocaspica, a plant that performs C4 photosynthesis within individual cells

Population Genomic Approaches for Weed Science

An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny


Geometry Uncertainty Projection Network for Monocular 3D Object Detection

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection


A research-oriented elastic body simulator

Projective Dynamics: Fusing Constraint Projections for Fast Simulation

Seminal Graphics Papers: Pushing the Boundaries, Volume 2

Example-based elastic materials

International Conference on Computer Graphics and Interactive Techniques

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

Stable Neo-Hookean Flesh Simulation

Position-based simulation of continuous materials

A Survey on Position Based Dynamics, 2017

Long range attachments - a method to simulate inextensible clothing in computer games

Small steps in physics simulation

Real-time example-based elastic deformation

Simulating wind effects on cloth and hair in Disney's Frozen


PyTorch Implementation of MADDPG (Lowe et. al. 2017)

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

The Relationship Between Vitamin D and Asthma Exacerbation

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Correcting Experience Replay for Multi-Agent Communication


Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

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

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Deformable Convolutional Networks

Light-Head R-CNN: In Defense of Two-Stage Object Detector


Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

A Closer Look at Few-shot Classification

Meta-Learning with Differentiable Convex Optimization

Meta-Learning with Latent Embedding Optimization


It's a repository for implementations of neural speech editing algorithms.

EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion

CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing

FluentSpeech: Stutter-Oriented Automatic Speech Editing with
  Context-Aware Diffusion Models


(CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion.

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint


Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

NAS evaluation is frustratingly hard

Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search


a versatile and flexible pipeline for analysing different variants of ChIA-PET data

ChIA-PET2: a versatile and flexible pipeline for ChIA-PET data analysis

High resolution discovery of chromatin interactions


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

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

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


Generative Adversarial Transformers

Projected GANs Converge Faster

Generative Adversarial Transformers

Compositional Transformers for Scene Generation


TransVG: End-to-End Visual Grounding with Transformers

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

TransVG++: End-to-End Visual Grounding with Language Conditioned Vision
  Transformer


A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

GPT-4 Technical Report


Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Blind Image Super-Resolution with Spatial Context Hallucination

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Kernelized Back-Projection Networks for Blind Super Resolution


Four landmark detection algorithms, implemented in PyTorch.

Style Aggregated Network for Facial Landmark Detection

Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

Supervision by Registration and Triangulation for Landmark Detection

Towards Reading Beyond Faces for Sparsity-aware 3D/4D Affect Recognition


Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graph Transformer Networks

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs


Official Implementation of the Paper "Capsules for Object Segmentation".

Dynamic Routing Between Capsules

Capsules for Object Segmentation

Capsules for Biomedical Image Segmentation

Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid


Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

A Primer on the Signature Method in Machine Learning

Deep Signature Transforms

Neural Rough Differential Equations for Long Time Series

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU

Sig-SDEs model for quantitative finance

Neural Controlled Differential Equations for Online Prediction Tasks

Generalised Interpretable Shapelets for Irregular Time Series

Path Signature Area-Based Causal Discovery in Coupled Time Series

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym.


TabLinker - Supervised Excel/CSV to RDF Converter

Lifting Tabular Data to RDF: A Survey

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable

International journal of data science and analytics

An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor

From one star to three stars: Upgrading legacy open data using crowdsourcing

PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015)

Mapping Spreadsheets to RDF: Supporting Excel in RML


End-to-End Neural Diarization

End-to-End Neural Speaker Diarization with Self-attention

End-to-End Neural Speaker Diarization with Permutation-Free Objectives

End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

Online End-to-End Neural Diarization with Speaker-Tracing Buffer

Neural Speaker Diarization with Speaker-Wise Chain Rule

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

Neural Diarization with Non-autoregressive Intermediate Attractors

Improving End-to-End Neural Diarization Using Conversational Summary
  Representations


PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Language Features Matter: Effective Language Representations for Vision-Language Tasks

More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval


disentanglement_lib is an open-source library for research on learning disentangled representations.

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Weakly-Supervised Disentanglement Without Compromises

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Theory and Evaluation Metrics for Learning Disentangled Representations

Measuring Disentanglement: A Review of Metrics

A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation

Self-Supervised Learning Disentangled Group Representation as Feature

Algorithmic fairness datasets: the story so far

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild


Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

SwinIR: Image Restoration Using Swin Transformer

Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors


Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets
  Prompt Engineering

Black-box Targeted Adversarial Attack on Segment Anything (SAM)


Missing Data Imputation for Python

The impact of imputation quality on machine learning classifiers for datasets with missing values

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

Semi-supervised Learning with Missing Values Imputation


Official implementation of "Designing an Encoder for StyleGAN Image Manipulation"  (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations

FlexIT: Towards Flexible Semantic Image Translation

FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion

Feature-Style Encoder for Style-Based GAN Inversion

Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image

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

A Chinese Face Dataset with Dynamic Expressions and Diverse Ages Synthesized by Deep Learning


This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

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

Training data-efficient image transformers & distillation through attention


log anomaly detection toolkit including DeepLog

LogBERT: Log Anomaly Detection via BERT

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering


Strategies for Pre-training Graph Neural Networks

Graph Self-Supervised Learning: A Survey

Robust Weight Perturbation for Adversarial Training

Graph-based Molecular Representation Learning

Graph Self-supervised Learning with Accurate Discrepancy Learning

SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Structure-Enhanced Meta-Learning For Few-Shot Graph Classification

Accurate prediction of molecular targets using a self-supervised image representation learning framework


This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021.  2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet


Semantic Scene Completion from a Single Depth Image

Semantic Scene Completion Combining Colour and Depth: preliminary experiments

Vision-language navigation: a survey and taxonomy


Development repository for the `ez` package for R

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

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

Dissociable neural correlates of stimulation intensity and detection in somatosensation

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

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

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

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

Spontaneous eye movements during focused-attention mindfulness meditation

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

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


Pytorch re-implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition (CVPR 2022)

ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer


DIRT: a fast differentiable renderer for TensorFlow

Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading

Leveraging 2D Data to Learn Textured 3D Mesh Generation

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision


Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

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

Multiplex Heterogeneous Graph Convolutional Network

Multi-View Collaborative Network Embedding

ACM transactions on knowledge discovery from data


LSUN Dataset Documentation and Demo Code

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

Towards the Detection of Diffusion Model Deepfakes

Wavelet-packets for deepfake image analysis and detection

Deep Automodulators

Deepfake: Definitions, Performance Metrics and Standards, Datasets and
  Benchmarks, and a Meta-Review


Fast LOAM: Fast and Optimized Lidar Odometry And Mapping   for indoor/outdoor localization IROS 2021

F-LOAM : Fast LiDAR Odometry and Mapping

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

International Conference on Robotics and Automation

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

Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization

Greedy-Based Feature Selection for Efficient LiDAR SLAM

INS/LIDAR/Stereo SLAM Integration for Precision Navigation in GNSS-Denied Environments

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons.


Program for aligning DNA sequences, a pairwise aligner.

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Adaptive sequence divergence forged new neurodevelopmental enhancers in humans

A Y-linked anti-Müllerian hormone type-II receptor is the sex-determining gene in ayu, Plecoglossus altivelis

SyntDB: defining orthologues of human long noncoding RNAs across primates

The Jasmine (Jasminum sambac) Genome Provides Insight into the Biosynthesis of Flower Fragrances and Jasmonates

基因组蛋白质组与生物信息学报

De novo whole-genome assembly of a wild type yeast isolate using nanopore sequencing

Chromosome-scale assembly and whole-genome sequencing of 266 giant panda roundworms provide insights into their evolution, adaptation and potential drug targets

The reference genome and transcriptome of the limestone langur, Trachypithecus leucocephalus, reveal expansion of genes related to alkali tolerance

Integrative Taxonomy of the Gall Mite Nothopoda todeica n. sp. (Eriophyidae) from the Disjunct Afro-Australasian Fern Todea barbara: Morphology, Phylogeny, and Mitogenomics


VizNet is a repository providing real-world datasets that enable, among other things, (re)running empirical studies with higher ecological validity

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

A Survey on Semantics in Automated Data Science

A Vision for Semantically Enriched Data Science


ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Instruction Tuning for Large Language Models: A Survey

HuatuoGPT, towards Taming Language Model to Be a Doctor

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large
  Language Models


Tensorflow implementation of DeepFM for CTR prediction.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

MARS: Memory Attention-Aware Recommender System

Deep Factorization Machines for Knowledge Tracing

Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions

Deep Attentional Factorization Machines Learning Approach for Driving Safety Risk Prediction

PerCoNet: News Recommendation with Explicit Persona and Contrastive
  Learning


A bioinformatics tool for working with modified bases


Diffusion-LM

Diffusion-LM Improves Controllable Text Generation

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

Latent Diffusion for Language Generation

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Can Diffusion Model Achieve Better Performance in Text Generation?
  Bridging the Gap between Training and Inference!


A Robust LiDAR-Inertial Odometry for Livox LiDAR

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Rail Vehicle Localization and Mapping With LiDAR-Vision-Inertial-GNSS Fusion

Simultaneous Location of Rail Vehicles and Mapping of Environment with
  Multiple LiDARs

RailLoMer: Rail Vehicle Localization and Mapping with
  LiDAR-IMU-Odometer-GNSS Data Fusion

Semi-Elastic LiDAR-Inertial Odometry


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

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

Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs


DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Object DGCNN: 3D Object Detection using Dynamic Graphs

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions


Learning Chinese Character style with conditional GAN

Conditional Image Synthesis With Auxiliary Classifier GANs

Unsupervised Cross-Domain Image Generation

Generating Handwritten Chinese Characters using CycleGAN

Workshop on Applications of Computer Vision

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images

Few-shot Compositional Font Generation with Dual Memory

Few-shot Font Generation with Localized Style Representations and Factorization

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator

Handwritten Chinese Font Generation with Collaborative Stroke Refinement


Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Very Deep Convolutional Networks for Large-Scale Image Recognition

Focal Loss for Dense Object Detection

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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


NVIDIA Deep learning Dataset Synthesizer (NDDS)

NViSII: A Scriptable Tool for Photorealistic Image Generation

3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts

Training Object Detectors on Synthetic Images Containing Reflecting
  Materials

Towards Synthetic AI Training Data for Image Classification in Intralogistic Settings


:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes

Identification of Novel Mobilized Colistin Resistance Gene mcr-9 in a Multidrug-Resistant, Colistin-Susceptible Salmonella enterica Serotype Typhimurium Isolate

Identification of novel mobile colistin resistance gene mcr-10

PLSDB: a resource of complete bacterial plasmids

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

Surveillance of Enterococcus spp. reveals distinct species and antimicrobial resistance diversity across a One-Health continuum

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

A P7 Phage-Like Plasmid Carrying mcr-1 in an ST15 Klebsiella pneumoniae Clinical Isolate

Combination of pre-adapted bacteriophage therapy and antibiotics for treatment of fracture-related infection due to pandrug-resistant Klebsiella pneumoniae

CeMbio - The C. elegans microbiome resource

Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing based molecular epidemiological study


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

Playing for Data: Ground Truth from Computer Games

Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

Journal of chemical theory and computation

A Lightweight Blockchain Based Framework for Underwater IoT

Information overload in group communication: from conversation to cacophony in the Twitch chat

Adopting worst-case optimal joins in relational database systems

Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Sketching Linear Classifiers over Data Streams

Practical Hash Functions for Similarity Estimation and Dimensionality Reduction

An efficient deterministic perturbation theory for selected configuration interaction methods


This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

Toward Augmented Reality in Museums: Evaluation of Design Choices for 3D Object Pose Estimation


Convolutional neural network model for video classification trained on the Kinetics dataset.

Going Deeper with Convolutions

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

The Kinetics Human Action Video Dataset

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

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

Models Genesis

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Weakly-supervised Action Localization with Background Modeling

Weakly-Supervised Action Localization by Generative Attention Modeling

Attend and Interact: Higher-Order Object Interactions for Video Understanding


Serial-section automated anatomy extension for ScanImage

Distinct Contributions of Whisker Sensory Cortex and Tongue-Jaw Motor Cortex in a Goal-Directed Sensorimotor Transformation

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

Behavioral origin of sound-evoked activity in mouse visual cortex

Purkinje Cell Activity Determines the Timing of Sensory-Evoked Motor Initiation

Antibody stabilization for thermally accelerated deep immunostaining

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Reusable, flexible, and lightweight chronic implants for Neuropixels probes

bioRxiv : the preprint server for biology


All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Quantum Generative Adversarial Learning

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images

Medical Image Computing and Computer-Assisted Intervention

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Journal of chemical information and modeling

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

Medical physics on CD-ROM/Medical physics

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery


Next-Generation Sequencing(NGS) toolkits.

The domestication of Cucurbita argyrosperma as revealed by the genome of its wild relative

Environmental pH modulates transcriptomic responses in the fungus Fusarium sp. associated with KSHB Euwallacea sp. near fornicatus

Integrated Analysis of the Transcriptome and Metabolome of Cecropia obtusifolia: A Plant with High Chlorogenic Acid Content Traditionally Used to Treat Diabetes Mellitus

International journal of molecular sciences

Molecular evidence of the avocado defense response to Fusarium kuroshium infection: a deep transcriptome analysis using RNA-Seq

Novel findings to the biosynthetic pathway of magnoflorine and taspine through transcriptomic and metabolomic analysis of Croton draco (Euphorbiaceae)

Genomic Signals of Adaptation towards Mutualism and Sociality in Two Ambrosia Beetle Complexes

Transcriptomic Analysis of the Host Response to Mild and Severe CTV Strains in Naturally Infected Citrus sinensis Orchards

Assessment of the Molecular Responses of an Ancient Angiosperm against Atypical Insect Oviposition: The Case of Hass Avocados and the Tephritid Fly Anastrepha ludens

Transcriptome Mining Provides Insights into Cell Wall Metabolism and Fiber Lignification in Agave tequilana Weber

Ouabain Induces Transcript Changes and Activation of RhoA/ROCK Signaling in Cultured Epithelial Cells (MDCK)


A hierarchical deep learning framework for ncRNA-protein interaction prediction.

Predicting RNA-Protein Interactions Using Only Sequence Information

RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information

NPInter v2.0: an updated database of ncRNA interactions

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

RPITER: A Hierarchical Deep Learning Framework for ncRNA–Protein Interaction Prediction


Tools/resources for journalism, media, communication, computational social science

Quantitative analysis of large amounts of journalistic texts using topic modelling

Data ex Machina: Introduction to Big Data

Taking Stock of the Toolkit

Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges

Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis

Automated Text Classification of News Articles: A Practical Guide


Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning

How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning


Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration

Applications of deep learning in fish habitat monitoring: A tutorial and survey


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


Carbon characteristics of Google Cloud regions


Simulator for modeling energy consumption in cloud, fog, and edge computing environments

LEAF: Simulating Large Energy-Aware Fog Computing Environments

Simulation Tools for Fog Computing: A Comparative Analysis


Renewable Electricity Variability, Upscaling and Balancing

Turbines of the Caribbean: Decarbonising Suriname's electricity mix through hydro-supported integration of wind power

Renewable and Sustainable Energy Reviews

A spatiotemporal atlas of hydropower in Africa for energy modelling purposes


Implementation of the Deep Frank-Wolfe Algorithm  -- Pytorch

Training Neural Networks for and by Interpolation

Deep Frank-Wolfe For Neural Network Optimization

A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance

A Stochastic Bundle Method for Interpolating Networks


A factor analysis package

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

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

Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways

Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with global and local ancestries

Blood cell traits’ GWAS loci colocalization with variation in PU.1 genomic occupancy prioritizes causal noncoding regulatory variants


Zeroth-order Min-max Optimization

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation

Proceedings of the Genetic and Evolutionary Computation Conference

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks


Countering Adversarial Image using Input Transformations.

Explaining and Harnessing Adversarial Examples

Adversarial Machine Learning at Scale

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Countering Adversarial Images using Input Transformations

Image Super-Resolution as a Defense Against Adversarial Attacks

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks


Mode collapse example of GANs in 2D (PyTorch).

Generative Adversarial Networks

Wasserstein GAN

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Geometric GAN

Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples

The Representation Jensen-Shannon Divergence


Zero -- A neural machine translation system

Attention Is All You Need

Self-Attention with Relative Position Representations

Fixup Initialization: Residual Learning Without Normalization

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual
  Machine Translation

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Adaptive Feature Selection for End-to-End Speech Translation

Survey on Publicly Available Sinhala Natural Language Processing Tools
  and Research

Sparse Attention with Linear Units

Revisiting End-to-End Speech-to-Text Translation From Scratch


Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses attention as a pointer to select a member of the input sequence as the output.

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence to Sequence Learning with Neural Networks

Pointer Networks


Fair Empirical Risk Minimization (FERM)

Empirical Risk Minimization under Fairness Constraints

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Fair Bayesian Optimization

Algorithmic fairness datasets: the story so far

Fair Predictors under Distribution Shift

Optimized Score Transformation for Consistent Fair Classification

Wasserstein Robust Classification with Fairness Constraints


code for DeepProposal paper presented in ICCV 2015

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

Scale-Aware Pixelwise Object Proposal Networks

DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers


Easy-to-use and fast pipeline to search for pulsars

Eight new millisecond pulsars from the first MeerKAT globular cluster census

Monthly Notices of the Royal Astronomical Society

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

HAL (Le Centre pour la Communication Scientifique Directe)

Extending the Z 2 n and H Statistics to Generic Pulsed Profiles

Four pulsar discoveries in NGC 6624 by TRAPUM using MeerKAT

Upgraded GMRT survey for pulsars in globular clusters

Radio Detection of an Elusive Millisecond Pulsar in the Globular Cluster NGC 6397

Discoveries and timing of pulsars in NGC 6440

Monthly notices of the Royal Astronomical Society

MeerKAT discovery of 13 new pulsars in Omega Centauri

Discovery of 37 new pulsars through GPU-accelerated reprocessing of archival data of the Parkes multibeam pulsar survey

A MeerKAT view of the pulsars in the globular cluster NGC 6522


3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]

U-Net: Convolutional Networks for Biomedical Image Segmentation

Vision Transformers for Dense Prediction

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


PRS-on-SPARK

A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions

DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up

PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores

Corticolimbic DCC gene co-expression networks as predictors of impulsivity in children

DCC gene network in the prefrontal cortex is associated with total brain volume in childhood

Journal of psychiatry & neuroscience : JPN

A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes


Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

A Survey on Time-Series Pre-Trained Models

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning

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


PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

Energy-guided Entropic Neural Optimal Transport

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling


Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

G-Mixup: Graph Data Augmentation for Graph Classification

Edge Representation Learning with Hypergraphs

Structural Entropy Guided Graph Hierarchical Pooling

State of the Art and Potentialities of Graph-level Learning

On Exploring Node-feature and Graph-structure Diversities for Node Drop
  Graph Pooling


reproduce ICLR18 paper "Learn to Pay Attention"

Attention gated networks: Learning to leverage salient regions in medical images

Learn To Pay Attention

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection


Clone of "Digital Representations of Tree Species Range Maps from "Atlas of United States Trees" by Elbert L. Little, Jr. (and other publications)"

High exposure of global tree diversity to human pressure

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

Geographic and Ecological Dimensions of Host Plant-Associated Genetic Differentiation and Speciation in the Rhagoletis cingulata (Diptera: Tephritidae) Sibling Species Group


EasyCodeML: A visual tool for analysis of selection using CodeML

Myoglobin primary structure reveals multiple convergent transitions to semi-aquatic life in the world’s smallest mammalian divers

Comparative and Evolutionary Analyses on the Complete Plastomes of Five Kalanchoe Horticultural Plants

Phylogenetic Analyses of Some Key Genes Provide Information on Pollinator Attraction in Solanaceae


Multimodal Sarcasm Detection Dataset

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis

Meeting of the Association for Computational Linguistics

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE transactions on affective computing


MATLAB implementation of the extended target PMBM tracker based on sets of trajectories

Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering

Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories

Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation


LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review


[NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

DeepIPR: Deep Neural Network Ownership Verification With Passports

IEEE transactions on pattern analysis and machine intelligence

Deep Intellectual Property Protection: A Survey

Cracking White-box DNN Watermarks via Invariant Neuron Transforms

Rethinking White-Box Watermarks on Deep Learning Models under Neural
  Structural Obfuscation


Memory-Efficient Recursive Evaluation of 3-Center Gaussian Integrals

Distributed Memory, GPU Accelerated Fock Construction for Hybrid,
  Gaussian Basis Density Functional Theory

High-performance evaluation of high angular momentum 4-center Gaussian
  integrals on modern accelerated processors

The journal of physical chemistry. A/The journal of physical chemistry. A.


NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Scaling Out-of-Distribution Detection for Real-World Settings


pytorch implementation of Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Accounting for Unobserved Confounding in Domain Generalization

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection


Complete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.

Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution


Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)

LoRA: Low-Rank Adaptation of Large Language Models

Prefix-Tuning: Optimizing Continuous Prompts for Generation

The Power of Scale for Parameter-Efficient Prompt Tuning

Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services


Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications

Hemodynamic and metabolic correspondence of resting-state voxel-based physiological metrics in healthy adults

Disambiguating the role of blood flow and global signal with Partial Information Decomposition

Comparison of undirected frequency-domain connectivity measures for cerebro-peripheral analysis

WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions


Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings.

Constructing high-dimensional neural network potentials: A tutorial review

International journal of quantum chemistry

Machine Learning for Electronically Excited States of Molecules

Automatic discovery of photoisomerization mechanisms with nanosecond machine learning photodynamics simulations


Pytorch implementation of Quaternion Knowledge Graph Embeddings.

Quaternion Knowledge Graph Embeddings

Relational Message Passing for Knowledge Graph Completion

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models

Type-augmented Relation Prediction in Knowledge Graphs

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding

BiQUE: Biquaternionic Embeddings of Knowledge Graphs


Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications (IROS 2020)

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

QAID: Question Answering Inspired Few-shot Intent Detection


Drought SPEI Index Spain Map


Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

Testing the General Deductive Reasoning Capacity of Large Language
  Models Using OOD Examples

Concise and Organized Perception Facilitates Large Language Models for
  Deductive Reasoning


Python package for graph-based clustering and semi-supervised learning

Weighted Nonlocal Laplacian on Interpolation from Sparse Data

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

Simplified Energy Landscape for Modularity Using Total Variation

Hamilton-Jacobi equations on graphs with applications to semi-supervised
  learning and data depth

A Fast MBO Scheme for Multiclass Data Classification

Scale Space and Variational Methods in Computer Vision

An Incremental Reseeding Strategy for Clustering

Digital Fingerprinting of Microstructures


Tools to annotate genomes using long read transcriptomics data

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

Getting the Entire Message: Progress in Isoform Sequencing

Targeted, High-Resolution RNA Sequencing of Non-coding Genomic Regions Associated With Neuropsychiatric Functions

A chromosome-scale genome assembly and karyotype of the ctenophore Hormiphora californensis

Large-Scale Multiplexing Permits Full-Length Transcriptome Annotation of 32 Bovine Tissues From a Single Nanopore Flow Cell

Chromosome-Level Genome Assembly of the Asian Red-Tail Catfish (Hemibagrus wyckioides)

Integrative Analysis of Nanopore and Illumina Sequencing Reveals Alternative Splicing Complexity in Pig Longissimus Dorsi Muscle

A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein

Alternative Splicing Regulation of Glycine-Rich Proteins via Target of Rapamycin-Reactive Oxygen Species Pathway in Arabidopsis Seedlings Upon Glucose Stress

Red and Blue Light Affect the Formation of Adventitious Roots of Tea Cuttings (Camellia sinensis) by Regulating Hormone Synthesis and Signal Transduction Pathways of Mature Leaves


Streaming sparse Gaussian process approximations

Streaming Sparse Gaussian Process Approximations

Kernel Interpolation for Scalable Online Gaussian Processes

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Continual Multi-task Gaussian Processes

Adaptive Sparse Gaussian Process


[Neurips 2023] Official pytorch implementation of "Addressing Negative Transfer in Diffusion Models"

Perception Prioritized Training of Diffusion Models

Efficient Diffusion Training via Min-SNR Weighting Strategy

Denoising Task Routing for Diffusion Models


Biomedical Question Answering Datasets.

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

PubMedQA: A Dataset for Biomedical Research Question Answering

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Modeling Biological Processes for Reading Comprehension

Empirical Methods in Natural Language Processing

emrQA: A Large Corpus for Question Answering on Electronic Medical Records

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Medical Visual Question Answering via Conditional Reasoning

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

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management

CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension


CHECKED: Chinese COVID-19 fake news dataset

MetaDetector: Meta Event Knowledge Transfer for Fake News Detection

COVID-19 Rumor Detection on Social Networks Based on Content Information and User Response

LTCR: Long-Text Chinese Rumor Detection Dataset


Decoupled Weight Decay Regularization (ICLR 2019)

Decoupled Weight Decay Regularization

Fixing Weight Decay Regularization in Adam

Shake-Shake regularization

A Siren Song of Open Source Reproducibility

Computer Vision Self-supervised Learning Methods on Time Series

Trajectory Generation, Control, and Safety with Denoising Diffusion
  Probabilistic Models

Systematic inference of indirect transcriptional regulation by protein kinases and phosphatases


Deep Residual Learning for Image Recognition

Densely Connected Convolutional Networks

Big Transfer (BiT): General Visual Representation Learning

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Representation Learning from Stoichiometry

Recent advances and applications of deep learning methods in materials science

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Materials Representation and Transfer Learning for Multi-Property Prediction

Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials

Predicting the Outcomes of Material Syntheses with Deep Learning


Python scripts for studying bias in recommender systems

The Unfairness of Popularity Bias in Recommendation

The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

A Study on Accuracy, Miscalibration, and Popularity Bias in
  Recommendations


Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

Oversmoothing: A Nightmare for Graph Contrastive Learning?


Scripts to reproduce TrioBinning manuscript

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle

Twelve quick steps for genome assembly and annotation in the classroom


Rethinking Visual Geo-localization for Large-Scale Applications

Visual Place Recognition: A Tutorial

EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition


Conformer-Rotamer Ensemble Sampling Tool based on the xtb Semiempirical Extended Tight-Binding Program Package

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

Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies

Hot Exciplexes in U-Shaped TADF Molecules with Emission from Locally Excited States

Automated and Efficient Generation of General Molecular Aggregate Structures

Angewandte Chemie (International ed. in English)

Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling

International journal of molecular sciences

Titanocene‐Catalyzed [2+2] Cycloaddition of Bisenones and Comparison with Photoredox Catalysis and Established Methods

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse
  Molecular Design

Inverse molecular design and parameter optimization with Hückel theory
  using automatic differentiation

CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine
  Learning


Multidocument Summarization for Literature Review Shared Task 2022

BERTScore: Evaluating Text Generation with BERT

MS2: Multi-Document Summarization of Medical Studies

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews

LED down the rabbit hole: exploring the potential of global attention
  for biomedical multi-document summarisation

An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review


LobsDICE: Offline Learning from Observation via Stationary Distribution
  Correction Estimation

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

CEIL: Generalized Contextual Imitation Learning

Theoretical Analysis of Offline Imitation With Supplementary Dataset


An open source deep learning action recognition and segmentation framework

Temporal Action Detection Using a Statistical Language Model

Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling

A bag-of-words equivalent recurrent neural network for action recognition

Recurrent Residual Learning for Action Recognition


An Automatic DNN TrainingProblem Detection and Repair System

DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs

Repairing DNN Architecture: Are We There Yet?


routines for computing neutron star structure and evolution

Neutron star crust cooling in the Terzan 5 X-ray transient Swift J174805.3-244637

The thermal state of KS 1731-260 after 14.5 years in quiescence

Constraints on Bygone Nucleosynthesis of Accreting Neutron Stars


A framework for joint super-resolution and image synthesis, without requiring real training data

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast

Unsupervised Data Imputation via Variational Inference of Deep Subspaces

Accurate super-resolution low-field brain MRI


Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms

IEEE European Symposium on Security and Privacy

Precision-based attacks and interval refining: how to break, then fix,
  differential privacy on finite computers

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Do I Get the Privacy I Need? Benchmarking Utility in Differential
  Privacy Libraries

Evaluation of Open-source Tools for Differential Privacy


Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.

Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning


An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.


OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated
  Circuit Synthesis

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


This project is about performing Speaker diarization for Hindi Language.

Generalized End-to-End Loss for Speaker Verification

Speaker Diarization with LSTM

pyannote.audio: neural building blocks for speaker diarization


AN IMPRINT OF MOLECULAR CLOUD MAGNETIZATION IN THE MORPHOLOGY OF THE DUST POLARIZED EMISSION

Using Herschel and Planck observations to delineate the role of magnetic fields in molecular cloud structure

From parallel to perpendicular - On the orientation of magnetic fields in molecular clouds

Monthly Notices of the Royal Astronomical Society

The history of dynamics and stellar feedback revealed by the HI filamentary structure in the disk of the Milky Way

The relative orientation between the magnetic field and gradients of surface brightness within thin velocity slices of 12CO and 13CO emission from the Taurus molecular cloud

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

A global view on star formation: The GLOSTAR Galactic plane survey VIII.
  Formaldehyde absorption in Cygnus~X


Plot research data from Svalbard on maps

Changes in Sea-Ice Protist Diversity With Declining Sea Ice in the Arctic Ocean From the 1980s to 2010s

Arctic coastal benthos long-term responses to perturbations under climate warming

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

Dynamics of organic matter and bacterial activity in the Fram Strait during summer and autumn

The Influence of Sea Ice Cover and Atlantic Water Advection on Annual Particle Export North of Svalbard

Subglacial upwelling in winter/spring increases under-ice primaryproduction


MPI-based C version of the DNest code (https://github.com/eggplantbren/DNest3) with minor modifications.

Accretion Disk Size Measurements of Active Galactic Nuclei Monitored by the Zwicky Transient Facility

Search for Continuous Gravitational Wave Signals in Pulsar Timing Residuals: A New Scalable Approach with Diffusive Nested Sampling

Geometric Distances of Quasars Measured by Spectroastrometry and Reverberation Mapping: Monte Carlo Simulations

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


CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"

Analyzing and Improving the Image Quality of StyleGAN

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Alias-Free Generative Adversarial Networks

A Style-aware Discriminator for Controllable Image Translation


a snow data network (SNOTEL) R package


Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

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

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Curriculum By Texture.

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images