ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"

FedBABU: Towards Enhanced Representation for Federated Image Classification

FedLab: A Flexible Federated Learning Framework

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training

Supernet Training for Federated Image Classification under System Heterogeneity

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning


SOTA Math Opensource LLM

Qwen Technical Report

Solving Quantitative Reasoning Problems with Language Models

Best Practices and Lessons Learned on Synthetic Data for Language Models

Evolutionary Optimization of Model Merging Recipes

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models
  with a Self-Critique Pipeline

Toward Self-Improvement of LLMs via Imagination, Searching, and
  Criticizing

Implicit Chain of Thought Reasoning via Knowledge Distillation

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

reStructured Pre-training

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via
  Alignment Tax Reduction


Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Towards Robust Neural Networks via Random Self-ensemble

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains

The Dimpled Manifold Model of Adversarial Examples in Machine Learning

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Rate Distortion For Model Compression: From Theory To Practice

Information-Theoretic Understanding of Population Risk Improvement with Model Compression

Classification Confidence Estimation with Test-Time Data-Augmentation


Official Implementation of Mockingjay in Pytorch

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

Representation Learning with Contrastive Predictive Coding

An Unsupervised Autoregressive Model for Speech Representation Learning

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

International Conference on Acoustics, Speech, and Signal Processing


Official implementation of our ICCV19 paper "Image Synthesis From Reconfigurable Layout and Style"

Variational Transformer Networks for Layout Generation

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

Deep Consensus Learning


Heterogeneous Graph Neural Network

Graph Neural Networks: A Review of Methods and Applications

Heterogeneous Graph Attention Network

Deep Learning on Graphs: A Survey

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

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

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

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

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

Multiplex Heterogeneous Graph Convolutional Network

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

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding


Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

Certified Reinforcement Learning with Logic Guidance

LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning

Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees


On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space


Recent progress on domain adaption/generalization for medical image segmentation

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

Test-time adaptable neural networks for robust medical image segmentation

NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images

Disentangle domain features for cross-modality cardiac image segmentation

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

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

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


Label Rotated Rect On Images for training

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset

A Dual-Polarimetric SAR Ship Detection Dataset and a Memory-Augmented Autoencoder-Based Detection Method

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

UAV Imagery for Automatic Multi-Element Recognition and Detection of Road Traffic Elements

Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery

Orientation aware weapons detection in visual data: a benchmark dataset

Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos

Lyric Video Analysis Using Text Detection and Tracking


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

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

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


Cenote-Taker2: Discover and Annotate Divergent Viral Contigs (Please use Cenote-Taker 3 instead)

A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases

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

Cenote-Taker 2 democratizes virus discovery and sequence annotation

Prokaryotic and Viral Community Composition of Freshwater Springs in Florida, USA

Evidence for virus-mediated oncogenesis in bladder cancers arising in solid organ transplant recipients


KHGT, AAAI 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation


Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

Transcriptome dynamics of hippocampal neurogenesis in macaques across the lifespan and aged humans

Distinct molecular and immune hallmarks of inflammatory arthritis induced by immune checkpoint inhibitors for cancer therapy

Effects of poor sleep on the immune cell landscape as assessed by single-cell analysis

Integrative analysis of cancer-associated fibroblast signature in gastric cancer

CITEdb: a manually curated database of cell–cell interactions in human

Dissection of Cellular Communication between Human Primary Osteoblasts and Bone Marrow Mesenchymal Stem Cells in Osteoarthritis at Single-Cell Resolution

Insights gained from single-cell analysis of immune cells in tofacitinib treatment of Vogt-Koyanagi-Harada disease

Identification of Key eRNAs for Spinal Cord Injury by Integrated Multinomial Bioinformatics Analysis

Frontiers in cell and developmental biology

Identification of Key Immune-Related Genes in the Progression of Septic Shock


BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision

PIPPA: A Partially Synthetic Conversational Dataset

Learning Human-Human Interactions in Images from Weak Textual Supervision


The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for organic molecules.

Less is more: sampling chemical space with active learning

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural network

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules


A MINiscope 1-photon-based Calcium Imaging Signal Extraction PIPEline.

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

Lateral hypothalamic LEPR neurons drive appetitive but not consummatory behaviors

Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data

Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice


Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

Static and Dynamic Robust PCA and Matrix Completion: A Review

Low Rank Regularization: A review

Provable Dynamic Robust PCA or Robust Subspace Tracking

Provable Subspace Tracking From Missing Data and Matrix Completion

Low-M-Rank Tensor Completion and Robust Tensor PCA

Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches

International Journal of Online and Biomedical Engineering (iJOE)

Beamforming and other methods for denoising microphone array data


Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing

Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning

FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation

Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification

IEEE Geoscience and Remote Sensing Letters


Gene prediction software

A chromosome-scale assembly of the sorghum genome using nanopore sequencing and optical mapping

Genetic basis of high aroma and stress tolerance in the oolong tea cultivar genome

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

Structural and Functional Annotation of Eukaryotic Genomes with GenSAS

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

Genomic insights into neonicotinoid sensitivity in the solitary bee Osmia bicornis

Twelve quick steps for genome assembly and annotation in the classroom

The reference genome of Miscanthus floridulus illuminates the evolution of Saccharinae

Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers

The draft genome sequence of an upland wild rice species, Oryza granulata

Population genomics identifies genetic signatures of carrot domestication and improvement and uncovers the origin of high-carotenoid orange carrots


Further improve robustness of mixup-trained models in inference (ICLR 2020)

Identity Mappings in Deep Residual Networks

mixup: Beyond Empirical Risk Minimization

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy

Unifying Gradients to Improve Real-World Robustness for Deep Networks


A tool to extract and visualize the results of CAFE (Computational Analysis of gene Family Evolution)

Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation

The genome of the mimosoid legume Prosopis cineraria, a desert tree

Zenodo (CERN European Organization for Nuclear Research)

High-Quality de novo Chromosome-Level Genome Assembly of a Single Bombyx mori With BmNPV Resistance by a Combination of PacBio Long-Read Sequencing, Illumina Short-Read Sequencing, and Hi-C Sequencing

Phylotranscriptomics and evolution of key genes for terpene biosynthesis in Pinaceae


node2vec: Scalable Feature Learning for Networks

A Survey on Network Embedding

Network Representation Learning: A Survey

Graph Self-Supervised Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

Representation Learning for Dynamic Graphs: A Survey

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

Large-Scale Visual Relationship Understanding

Node Embedding over Temporal Graphs

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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


kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

kuenm: an R package for detailed development of ecological niche models using Maxent

Current and Future Distribution of the Lone Star Tick, Amblyomma americanum (L.) (Acari: Ixodidae) in North America

Likely Geographic Distributional Shifts among Medically Important Tick Species and Tick-Associated Diseases under Climate Change in North America: A Review

Potential distributions of Bacillus anthracis and Bacillus cereus biovar anthracis causing anthrax in Africa

Predicting Distribution of the Asian Longhorned Beetle, Anoplophora glabripennis (Coleoptera: Cerambycidae) and Its Natural Enemies in China

Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model

Potential Suitable Habitats of Chili Pepper in China under Climate Change

Allele Surfing and Holocene Expansion of an Australian Fig (Ficus—Moraceae)

Potentially suitable habitats of Daodi goji berry in China under climate change

Adaptation of Tree Species in the Greater Khingan Range under Climate Change: Ecological Strategy Differences between Larix gmelinii and Quercus mongolica


Sentiment analysis in Pytorch on an IMDb dataset.

Attention Is All You Need

Convolutional Neural Networks for Sentence Classification

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Language Model Fine-tuning for Text Classification


Dense hybrid representations for text retrieval

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

A Dense Representation Framework for Lexical and Semantic Matching

Densifying Sparse Representations for Passage Retrieval by Representational Slicing


BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study

European psychiatry : the journal of the Association of European Psychiatrists

BERT based Transformers lead the way in Extraction of Health Information from Social Media

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media

Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification

Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines

IAI Group at CheckThat! 2024: Transformer models and data augmentation for checkworthy claim detection

Conference and Labs of the Evaluation Forum


A method for circular DNA detection based on probabilistic mapping of ultrashort reads

Sensitive detection of circular DNAs at single-nucleotide resolution using guided realignment of partially aligned reads

Circle‐Seq reveals genomic and disease‐specific hallmarks in urinary cell‐free extrachromosomal circular DNAs

Replicative aging is associated with loss of genetic heterogeneity from extrachromosomal circular DNA in Saccharomyces cerevisiae

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

International journal of molecular sciences

EccDNA-oriented ITGB7 expression in breast cancer

Plasma extrachromosomal circular DNA is a pathophysiological hallmark of short-term intensive insulin therapy for type 2 diabetes

Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction


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

A roadmap for the computation of persistent homology

An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists

Ripser: efficient computation of Vietoris–Rips persistence barcodes

Journal of Applied and Computational Topology

Geometry Helps to Compare Persistence Diagrams

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams

Tree-Sliced Variants of Wasserstein Distances

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

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

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

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


The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Explanations from Large Language Models Make Small Reasoners Better

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Better Zero-Shot Reasoning with Self-Adaptive Prompting

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Small Language Model Can Self-correct

Making Reasoning Matter: Measuring and Improving Faithfulness of
  Chain-of-Thought Reasoning

Mixed Distillation Helps Smaller Language Model Better Reasoning


Desmistificando DevOps: Projetando Arquiteturas Efetivamente Escaláveis

Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture

Borg, Omega, and Kubernetes

Continuous software engineering: A roadmap and agenda

Microservices: The Journey So Far and Challenges Ahead

Containerization and the PaaS Cloud

A Survey of DevOps Concepts and Challenges

Cloud Container Technologies: A State-of-the-Art Review

DevOps

Continuous deployment of software intensive products and services: A systematic mapping study

Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study


甲言，专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包，支持文言词库构建、分词、词性标注、断句和标点。Jiayan, the 1st NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation and punctuation.

Summarising Historical Text in Modern Languages

The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS

Period Classification in Chinese Historical Texts

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature


MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search

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

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

Tracking Progress in Multi-Agent Path Finding

Introducing Delays in Multi-Agent Path Finding


DRIP and SLIP Landslide Detection Package

Automated Satellite-Based Landslide Identification Product for Nepal


pytorch implementation of  face detection algorithm  MTCNN

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Face Recognition: Too Bias, or Not Too Bias?

EvilModel 2.0: Bringing Neural Network Models into Malware Attacks

Automatic Face Understanding: Recognizing Families in Photos


Single-cell Hierarchical Poisson Factorization

Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

De novo gene signature identification from single-cell RNA-seq with hierarchical Poisson factorization.

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

A single-cell reference map for human blood and tissue T cell activation reveals functional states in health and disease

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

bioRxiv : the preprint server for biology


Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

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

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

Predictive Uncertainty Estimation via Prior Networks

BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors

Object Detection as Probabilistic Set Prediction


Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

Computer-Aided Civil and Infrastructure Engineering

Graph Neural Networks in IoT: A Survey

Influenza-like symptom recognition using mobile sensing and graph neural networks

Proceedings of the Conference on Health, Inference, and Learning

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients

Journal of healthcare informatics research

Graph Powered Machine Learning in Smart Sensor Networks


Dynamic Graph Benchmark

Towards Better Evaluation for Dynamic Link Prediction

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery


Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.

Population Based Training of Neural Networks

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

Hyperparameters in Reinforcement Learning and How To Tune Them

Bayesian Generational Population-Based Training


Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Multi-Modal Representations for Improved Bilingual Lexicon Learning

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora

Linking Tweets with Monolingual and Cross-Lingual News using Transformed Word Embeddings


Repository for "Differentiable Causal Discovery from Interventional Data"

Interventional Causal Representation Learning

Efficient Neural Causal Discovery without Acyclicity Constraints

Learning Neural Causal Models with Active Interventions


CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)

GraphR: Accelerating Graph Processing Using ReRAM

CuMF_SGD: Fast and Scalable Matrix Factorization

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems


Collaborative Evolutionary Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning


Goalign is a set of command line tools and an API to manipulate multiple sequence alignments. It is implemented in Go language.

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

A Structurally-Validated Multiple Sequence Alignment of 497 Human Protein Kinase Domains

Mirusviruses link herpesviruses to giant viruses

Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data

Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy

Genomic Epidemiology and Strain Taxonomy of Corynebacterium diphtheriae

Combining Phylogenetic and Network Approaches to Identify HIV-1 Transmission Links in San Mateo County, California

Cuban history of CRF19 recombinant subtype of HIV-1

Egoviruses: distant relatives of poxviruses abundant in the gut microbiome of humans and animals worldwide


Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics


[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

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

Learning Invariant Molecular Representation in Latent Discrete Space


Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

TIM: Teaching Large Language Models to Translate with Comparison

Improving LLM-based Machine Translation with Systematic Self-Correction

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

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

BMX: Boosting Natural Language Generation Metrics with Explainability


Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association

Double/Debiased Machine Learning for Treatment and Structural Parameters

Machine Learning: An Applied Econometric Approach

Human Decisions and Machine Predictions

Inference on Treatment Effects after Selection among High-Dimensional Controls

Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain

Prediction Policy Problems

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Characterizing the spatial structure of defensive skill in professional basketball


PyTorch implementation of UNet++ (Nested U-Net).

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

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

EVALUATION OF UNet AND UNet++ ARCHITECTURES IN HIGH RESOLUTION IMAGE CHANGE DETECTION APPLICATIONS

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

Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network


SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Hashing-Accelerated Graph Neural Networks for Link Prediction

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

Link Prediction through Deep Generative Model

Assessment of community efforts to advance network-based prediction of protein–protein interactions

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search


Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

Deep Kernel Learning for Clustering

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE


"Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)

A large annotated corpus for learning natural language inference

Understanding Dataset Difficulty with ��-Usable Information

A Theory of Usable Information Under Computational Constraints


Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

A Survey on Causal Inference

Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis

How to select predictive models for causal inference?

Causal Effect Estimation using Variational Information Bottleneck


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

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

Utilizing Self-supervised Representations for MOS Prediction

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

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

Timbre-reserved Adversarial Attack in Speaker Identification

Investigating Content-Aware Neural Text-to-Speech MOS Prediction Using Prosodic and Linguistic Features


EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

ConveRT: Efficient and Accurate Conversational Representations from Transformers

A Systematic Evaluation of Response Selection for Open Domain Dialogue

NAISTeacher: A Prompt and Rerank Approach to Generating Teacher Utterances in Educational Dialogues

Workshop on Innovative Use of NLP for Building Educational Applications

A Transformer-based Response Evaluator for Open-Domain Spoken Conversation


Performs the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) method.

The MR-Base platform supports systematic causal inference across the human phenome

Guidelines for performing Mendelian randomization investigations

Recent Developments in Mendelian Randomization Studies

Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Gut Microbiota and Psychiatric Disorders: A Two-Sample Mendelian Randomization Study

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies

Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption

The causal relationship between gastro-oesophageal reflux disease and idiopathic pulmonary fibrosis: a bidirectional two-sample Mendelian randomisation study

Assessment of Causal Direction Between Gut Microbiota and Inflammatory Bowel Disease: A Mendelian Randomization Analysis


Estimating emissions for mobile sources


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

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

Molecular profiling of driver events in metastatic uveal melanoma

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

基因组蛋白质组与生物信息学报

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

基因组蛋白质组与生物信息学报

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

Unsupervised cell functional annotation for single-cell RNA-seq


Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

LIME: Localized Image Editing via Attention Regularization in Diffusion Models


Pilon is an automated genome assembly improvement and variant detection tool

Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement

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

Prevotella copri increases fat accumulation in pigs fed with formula diets

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Whole genomes and transcriptomes reveal adaptation and domestication of pistachio

The celery genome sequence reveals sequential paleo‐polyploidizations, karyotype evolution and resistance gene reduction in apiales

De novo phased assembly of the Vitis riparia grape genome

Comparative Analyses of Five Complete Chloroplast Genomes from the Genus Pterocarpus (Fabacaeae)

High-quality genome assembly of 'Cuiguan' pear (Pyrus pyrifolia) as a reference genome for identifying regulatory genes and epigenetic modifications responsible for bud dormancy

A reference-grade genome identifies salt-tolerance genes from the salt-secreting mangrove species Avicennia marina


Massively Multilingual Transfer for NER

Massively Multilingual Transfer for NER

Mitigating Language-Dependent Ethnic Bias in BERT

Improving Multilingual Models with Language-Clustered Vocabularies

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Multilingual NER Transfer for Low-resource Languages.

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition

Findings of the Association for Computational Linguistics: ACL 2023


Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"

Optical Flow Estimation using a Spatial Pyramid Network

HarDNet: A Low Memory Traffic Network

Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Improving Real-Time Hand Gesture Recognition with Semantic Segmentation

Empowering cyberphysical systems of systems with intelligence


Library for implementing RNNs with Theano

Neural Machine Translation by Jointly Learning to Align and Translate

Generating Chinese Classical Poems with RNN Encoder-Decoder

Agreement on Target-bidirectional Neural Machine Translation

North American Chapter of the Association for Computational Linguistics

Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

Neural Machine Translation Advised by Statistical Machine Translation

Interactive Attention for Neural Machine Translation

Memory-enhanced Decoder for Neural Machine Translation

Memory-augmented Neural Machine Translation

Variable-Length Word Encodings for Neural Translation Models

Empirical Methods in Natural Language Processing


python codes for CIDEr - Consensus-based Image Caption Evaluation

CIDEr: Consensus-based Image Description Evaluation

Deep Reinforcement Learning For Sequence to Sequence Models

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset

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

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

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

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


A Tree-Based Transformer Architecture for Code Generation. (AAAI'20)

TreeGen: A Tree-Based Transformer Architecture for Code Generation

A Syntax-Guided Edit Decoder for Neural Program Repair

OCoR: An Overlapping-Aware Code Retriever

Embedding API dependency graph for neural code generation


Unified Cybersecurity Ontology

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

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A Semantic Model for Security Evaluation of Information Systems


A pipeline used to identify different modes of duplicated gene pairs

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

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

The Cycas genome and the early evolution of seed plants

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

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

International journal of molecular sciences

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

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

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

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

Genome-wide identification and expression analysis of the response regulator gene family in alfalfa (Medicago sativa L.) reveals their multifarious roles in stress response


Expanding Explainable K-Means Clustering

Explainable k-Means and k-Medians Clustering

ExKMC: Expanding Explainable k-Means Clustering


ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments


AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

Autoencoding beyond pixels using a learned similarity metric

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

Invertible Conditional GANs for image editing

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Fighting Deepfakes by Detecting GAN DCT Anomalies

Deepfakes Generation and Detection: A Short Survey

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

MaskFaceGAN: High-Resolution Face Editing With Masked GAN Latent Code Optimization

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

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


国内首个全参数训练的法律大模型 HanFei-1.0 (韩非)

Datasets for Large Language Models: A Comprehensive Survey

Large Language Models in Law: A Survey

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report)

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model


Attention-based NMT with Coverage, Context Gate, and Reconstruction

Modeling Coverage for Neural Machine Translation

Neural Machine Translation with Reconstruction

Context Gates for Neural Machine Translation

Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism


This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

The evolution, evolvability and engineering of gene regulatory DNA

LegNet: a best-in-class deep learning model for short DNA regulatory regions

A comprehensive fitness landscape model reveals the evolutionary history and future evolvability of eukaryotic cis-regulatory DNA sequences

CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets


Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

MixMatch: A Holistic Approach to Semi-Supervised Learning

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning

IEEE Workshop/Winter Conference on Applications of Computer Vision


[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

Towards Natural Machine Unlearning

Are we making progress in unlearning? Findings from the first NeurIPS
  unlearning competition


[ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

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

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction


Hierarchical Neural Relation Extraction

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

A Question-answering Based Framework for Relation Extraction Validation

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


Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification


A toolkit for discourse segmentation (EDU segmentation).

Toward Fast and Accurate Neural Discourse Segmentation

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

EDU-level Extractive Summarization with Varying Summary Lengths


Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information

Leveraging Locality in Abstractive Text Summarization

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods

Discourse-Aware Soft Prompting for Text Generation

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models

Scientific document processing: challenges for modern learning methods

International journal on digital libraries

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers


Krylov subspace methods package for Python

Preconditioned Recycling Krylov subspace methods for self-adjoint problems

Time-dependent Dirichlet Conditions in Finite Element Discretizations

Continuous, Semi-discrete, and Fully Discretized Navier-Stokes Equations


PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Role of Deep Learning in Loop Closure Detection for Visual and Lidar SLAM: A Survey

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images

International Conference on Robotics and Automation

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding

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

SeqNetVLAD vs PointNetVLAD: Image Sequence vs 3D Point Clouds for Day-Night Place Recognition


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

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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

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

Pre-training Polish Transformer-based Language Models at Scale

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

How "BERTology" Changed the State-of-the-Art also for Italian NLP

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

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

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

Mining Tourism Experience on Twitter: A case study


crop classification using deep learning on satellite images


Deep Interest Evolution Network for Click-Through Rate Prediction

User Response Prediction in Online Advertising

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction


Transformer based translation quality estimation

TransQuest: Translation Quality Estimation with Cross-lingual Transformers

TransQuest at WMT2020: Sentence-Level Direct Assessment

An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation

Syntactic Knowledge via Graph Attention with BERT in Machine Translation


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

GDPNet: Refining Latent Multi-View Graph for Relation Extraction

SCORE: Self-Supervised Correspondence Fine-Tuning for Improved Content Representations

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

hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications


Code and website for Behavior Transformers: Cloning k modes with one stone.

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking


DNN quantization with outlier channel splitting

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller

Position-based Scaled Gradient for Model Quantization and Pruning

Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization

Model Compression via Position-Based Scaled Gradient


Deep Whole Brain Segmentation Using SLANT Method

3D whole brain segmentation using spatially localized atlas network tiles

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols


Best practice for training LLaMA models in Megatron-LM

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel
  Fusion

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment


Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models


Official Implementation of Rectified Flow (ICLR2023 Spotlight)

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Bellman Optimal Step-size Straightening of Flow-Matching Models

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Fast Samplers for Inverse Problems in Iterative Refinement Models


MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration

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

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning

PKM2 controls the translation of TFE3 to maintain the integrity of the Golgi apparatus for the survival of HeLa and ME‐180 cervical cancer cells

Genome-wide identification of A-to-I RNA editing events provides the functional implications in PDAC


Dirichlet MLE python library

The redshift distribution of cosmological samples: a forward modeling approach

Journal of Cosmology and Astroparticle Physics

A new statistical method to analyze Morris Water Maze data using Dirichlet distribution

Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises

IEEE journal of biomedical and health informatics

A Combination of Caffeine Supplementation and Enriched Environment in an Alzheimer’s Disease Mouse Model

Long-Term Pharmacological Inhibition of the Activity of All NOS Isoforms Rather Than Genetic Knock-Out of Endothelial NOS Leads to Impaired Spatial Learning and Memory in C57BL/6 Mice


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

GFF Utilities: GffRead and GffCompare

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

PRMD: an integrated database for plant RNA modifications

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

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

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

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

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

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

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


Package for working with hypernetworks in PyTorch.

HyperNetworks

Continual learning with hypernetworks

Posterior Meta-Replay for Continual Learning

Continual Learning in Recurrent Neural Networks

Uncertainty estimation under model misspecification in neural network regression


This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Crack Segmentation on UAS-based Imagery using Transfer Learning

Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture

Manifolds for Unsupervised Visual Anomaly Detection

Fine-tuning vision foundation model for crack segmentation in civil infrastructures


This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Achieving Equalized Odds by Resampling Sensitive Attributes

Fair Adversarial Gradient Tree Boosting

Bayesian Importance of Features (BIF)


All one needs to know about fog computing and related edge computing paradigms: A complete survey

Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

Machine Learning at the Network Edge: A Survey

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


Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)

Self-Mutual Distillation Learning for Continuous Sign Language Recognition

International Conference on Computer Vision

SLTUNET: A Simple Unified Model for Sign Language Translation

Cross-modality Data Augmentation for End-to-End Sign Language Translation


offical seesawfacenet pytorch implement,  https://arxiv.org/abs/1908.09124

VGGFace2: A dataset for recognising faces across pose and age

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

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

SeesawFaceNets: sparse and robust face verification model for mobile platform


Easy to use scripts for evaluating word vectors on a variety of tasks.

Vector Embedding of Wikipedia Concepts and Entities

Modelling Lexical Ambiguity with Density Matrices

Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data

Tiny Word Embeddings Using Globally Informed Reconstruction

International Conference on Computational Linguistics

Multilingual Factor Analysis


GSEE: Global Solar Energy Estimator

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

Optimized Balance Between Electricity Load and Wind-Solar Energy Production

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

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


Representing Long-Range Context for Graph Neural Networks with Global Attention

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification

Gradformer: Graph Transformer with Exponential Decay


Vitis HLS LLVM source code and examples

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach

A Survey of FPGA Optimization Methods for Data Center Energy Efficiency

IEEE Transactions on Sustainable Computing

Compiler Infrastructure for Specializing Domain-Specific Memory Templates


Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

Bottleneck Transformers for Visual Recognition

Scaling Local Self-Attention for Parameter Efficient Visual Backbones


Use deep learning to generate and harmonize music in the style of Bach

Deep Learning Techniques for Music Generation -- A Survey

When Creators Meet the Metaverse: A Survey on Computational Arts

Am I (Deep) Blue? Music-Making AI and Emotional Awareness

A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks


Mutilate: high-performance memcached load generator

Agile Development of Linux Schedulers with Ekiben


Personalizing Dialogue Agents via Meta-Learning

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation


3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison

Parallel Structure From Motion for UAV Images via Weighted Connected Dominating Set

Accurate Smartphone Indoor Visual Positioning Based on a High-Precision 3D Photorealistic Map

Ground Texture Based Localization Using Compact Binary Descriptors

A Monocular Visual Odometry Method Based on Virtual-Real Hybrid Map in Low-Texture Outdoor Environment

An Image-Based Real-Time Georeferencing Scheme for a UAV Based on a New Angular Parametrization

3D reconstruction from spherical images: A review of techniques, applications, and prospects


Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Fully Convolutional Geometric Features

Deep Global Registration

Learning multiview 3D point cloud registration

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors

Self-supervised Geometric Perception


A toolbox for differentially private data generation

Benchmarking Differentially Private Synthetic Data Generation Algorithms

CTAB-GAN+: Enhancing Tabular Data Synthesis

Effective and Privacy preserving Tabular Data Synthesizing

Differential Privacy: What is all the noise about?

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing,
  Debugging


SingleCellNet: classify single cells across species and platforms

Gene Regulatory Network Analysis and Engineering Directs Development and Vascularization of Multilineage Human Liver Organoids

Computational methods for the integrative analysis of single-cell data

Leveraging the Cell Ontology to classify unseen cell types

Single-Cell Transcriptomic Census of Endothelial Changes Induced by Matrix Stiffness and the Association with Atherosclerosis

scMAGIC: accurately annotating single cells using two rounds of reference-based classification

A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data


Repo for our CVPR Paper: Watch your Up-Convolution: CNN Based Generative Deep Neural Networks areFailing to Reproduce Spectral Distributions

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Unmasking DeepFakes with simple Features

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection

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

F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain


A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

Binarized Spectral Compressive Imaging

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images


SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Deep Learning Meets SAR

TWC-Net: A SAR Ship Detection Using Two-Way Convolution and Multiscale Feature Mapping

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework


Point based  and tiny object detection and localization code set of UCAS-VG

Scale Match for Tiny Person Detection

The 1st Tiny Object Detection Challenge:Methods and Results

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Object Localization under Single Coarse Point Supervision

Long-Distance Person Detection Based on YOLOv7

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

TO–YOLOX: a pure CNN tiny object detection model for remote sensing images

CPR++: Object Localization via Single Coarse Point Supervision


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Survey on Neural Speech Synthesis

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PromptTTS: Controllable Text-to-Speech with Text Descriptions

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies


A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Gradient-Based Constrained Sampling from Language Models

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning

Constrained Text Generation with Global Guidance -- Case Study on CommonGen

Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding-best Generation Hypotheses by Lexically Constrained Decoding

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


Safe Bayesian Optimization

Safe controller optimization for quadrotors with Gaussian processes

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

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

GoSafe: Globally Optimal Safe Robot Learning

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Information-Theoretic Safe Exploration with Gaussian Processes


TensorFlow Implementation of "Show, Attend and Tell"

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Personalized Multimodal Feedback Generation in Education

Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines


End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.

Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models

Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition

Recognition of Handwritten Chinese Text by Segmentation: A Segment-Annotation-Free Approach

High Performance Offline Handwritten Chinese Text Recognition with a New Data Preprocessing and Augmentation Pipeline

Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks

Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition


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

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

Electronic Design Automation tools for superconducting circuits

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

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

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

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


RAD: Reinforcement Learning with Augmented Data

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

State Entropy Maximization with Random Encoders for Efficient Exploration

An Empirical Investigation of Representation Learning for Imitation

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

Learning Domain Invariant Representations in Goal-conditioned Block MDPs


Commonsense Explanations Dataset and Code

Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Measuring Association Between Labels and Free-Text Rationales

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

A Study of Automatic Metrics for the Evaluation of Natural Language Explanations

Commonsense Evidence Generation and Injection in Reading Comprehension

MPII: Multi-Level Mutual Promotion for Inference and Interpretation

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


2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

LSK3DNet: Towards Effective and Efficient 3D Perception with Large
  Sparse Kernels

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Pre-trained models for natural language processing: A survey

Revisiting Pre-Trained Models for Chinese Natural Language Processing

OCNLI: Original Chinese Natural Language Inference

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection

Conceptualized Representation Learning for Chinese Biomedical Text Mining

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

KR-BERT: A Small-Scale Korean-Specific Language Model


NAACL2021 - COIL Contextualized Lexical Retriever

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques

Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion

Faster Learned Sparse Retrieval with Guided Traversal

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

A Dense Representation Framework for Lexical and Semantic Matching

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

ACM transactions on office information systems


TensorFlow implementations of Graph Neural Networks

Deep Learning on Graphs: A Survey

Adversarial Examples for Models of Code

GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

Graph-based Molecular Representation Learning


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

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

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations


A repository for setting up a RNAseq workflow

Integrative Analyses of Antler Cartilage Transcriptome and Proteome of Gansu Red Deer (Cervus elaphus kansuensis) at Different Growth Stages

Animals : an open access journal from MDPI

Dysfunction of an Anaphase-Promoting Complex Subunit 8 Homolog Leads to Super-Short Petioles and Enlarged Petiole Angles in Soybean

International journal of molecular sciences


Learning Type-Aware Embeddings for Fashion Compatibility

Conditional Similarity Networks

Attention-based Fusion for Outfit Recommendation

Supporting stylists by recommending fashion style


Google DeepLab V3 for Image Semantic Segmentation

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

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Some commonly-used image quality assessment algorithms.

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Learning a No-Reference Quality Metric for Single-Image Super-Resolution


repository for Publicly Available Clinical BERT Embeddings

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

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

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Recognizing UMLS Semantic Types with Deep Learning

Representation Learning for Electronic Health Records

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

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records


pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

SecureBERT: A Domain-Specific Language Model for Cybersecurity

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

Semantic Ranking for Automated Adversarial Technique Annotation in
  Security Text


Vision-Language Pre-training for Image Captioning and Question Answering

Unified Vision-Language Pre-Training for Image Captioning and VQA

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

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

Meeting of the Association for Computational Linguistics

Learning to Learn Words from Visual Scenes


Add bisenetv2.  My implementation of BiSeNet

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

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

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

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

IEEE Transactions on Intelligent Transportation Systems

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

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


Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

Controllable Dialogue Simulation with In-Context Learning

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


Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification


Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey


【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?


FS-Mol  is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.

Strategies for Pre-training Graph Neural Networks

Molecule Attention Transformer

First fully-automated AI/ML virtual screening cascade implemented at a drug discovery centre in Africa

Context-enriched molecule representations improve few-shot drug discovery

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction


DAGAN: Data Augmentation Generative Adversarial Networks

Sampling Generative Networks

Featurized Density Ratio Estimation

Unified Adversarial Invariance


Scalable Differentiable Physics for Learning and Control (ICML2020)

Efficient Differentiable Simulation of Articulated Bodies


DynaSent: Dynamic Sentiment Analysis Dataset

Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

DynaSent: A Dynamic Benchmark for Sentiment Analysis

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning


Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

Tumor fraction in cell-free DNA as a biomarker in prostate cancer

Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

Establishing the Clinical Utility of ctDNA Analysis for Diagnosis, Prognosis, and Treatment Monitoring of Retinoblastoma: The Aqueous Humor Liquid Biopsy

Cell-Free DNA Tumor Fraction in the Aqueous Humor Is Associated With Therapeutic Response in Retinoblastoma Patients

Translational vision science & technology

CD74 and CD44 Expression on CTCs in Cancer Patients with Brain Metastasis

On-treatment measurements of circulating tumor DNA during FOLFOX therapy in patients with colorectal cancer

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

Cell-free tumour DNA analysis detects copy number alterations in gastro-oesophageal cancer patients

Cell type signatures in cell-free DNA fragmentation profiles reveal disease biology

Quantified CIN Score From Cell-free DNA as a Novel Noninvasive Predictor of Survival in Patients With Spinal Metastasis

Frontiers in cell and developmental biology


[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

Dealing with Missing Modalities in Multimodal Recommendation: a Feature
  Propagation-based Approach


Create timecourse "fish plots" that show changes in the clonal architecture of tumors

Visualizing tumor evolution with the fishplot package for R

The clonal evolution of metastatic colorectal cancer

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Longitudinal therapy monitoring of ALK-positive lung cancer by combined copy number and targeted mutation profiling of cell-free DNA

Characterization of SARS-CoV-2 viral diversity within and across hosts

A Journey Through Myeloma Evolution: From the Normal Plasma Cell to Disease Complexity

Genomic and evolutionary portraits of disease relapse in acute myeloid leukemia

Loss of COP9 signalosome genes at 2q37 is associated with IMiD resistance in multiple myeloma

Lorlatinib and compound mutations in ALK+ large-cell neuroendocrine lung carcinoma: a case report

Modeling the consequences of heterogeneity in microbial population dynamics


[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval


Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

Order-Embeddings of Images and Language

Multimodal Convolutional Neural Networks for Matching Image and Sentence

VSE++: Improved Visual-Semantic Embeddings.

Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Focused Evaluation for Image Description with Binary Forced-Choice Tasks


IOTA's hash function curl is broken

Cryptanalysis of Curl-P and Other Attacks on the IOTA Cryptocurrency

IACR Transactions on Symmetric Cryptology

Computing Resource Allocation Scheme for DAG-Based IOTA Nodes

A Primer for Blockchain


Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Deep Learning on Graphs: A Survey

Deep Graph Contrastive Representation Learning

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Informative pseudo-labeling for graph neural networks with few labels

Relational Self-Supervised Learning on Graphs

Message Passing Neural Processes

Effective Semi-Supervised Node Classification on Few-Labeled Graph Data

Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks


Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image
  Models


Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Learning to Feel Textures: Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions

Aligning Hyperbolic Representations: an Optimal Transport-based approach

Learning Sinkhorn divergences for supervised change point detection

Parametric Adversarial Divergences are Good Losses for Generative Modeling


DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection


Code and documentation for experiments in the TreeExplainer paper

Explainable AI for Trees: From Local Explanations to Global Understanding

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Model independent feature attributions: Shapley values that uncover non-linear dependencies


Graph convolutional recurrent neural network

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Representation Learning for Dynamic Graphs: A Survey

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

Dynamic Graph Information Bottleneck


SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Natural Language Processing Advancements By Deep Learning: A Survey

Denoising Distantly Supervised Open-Domain Question Answering

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension

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

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception


Computation of the semantic interpretability of topics produced by topic models.

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

Conference of the European Chapter of the Association for Computational Linguistics

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

Coherence-Aware Neural Topic Modeling

Zika discourse in the Americas: A multilingual topic analysis of Twitter

On Poetic Topic Modeling: Extracting Themes and Motifs From a Corpus of Spanish Poetry

Nonparametric Topic Modeling with Neural Inference

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics


Robust and Efficient Medical Imaging with Self-Supervision

A General-Purpose Self-Supervised Model for Computational Pathology


Code for paper Fine-tune BERT for Extractive Summarization

Friendly Topic Assistant for Transformer Based Abstractive Summarization

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

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

EntSUM: A Data Set for Entity-Centric Extractive Summarization

What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models

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

EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering

Summarizing Community-based Question-Answer Pairs

Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection

Applicability of large language models and generative models for legal case judgement summarization

What's in your Head? Emergent Behaviour in Multi-Task Transformer Models


Codes for paper "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis"

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Neuro-Inspired Information-Theoretic Hierarchical Perception for
  Multimodal Learning


Multimodal Mixture-of-Experts VAE

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents

Discriminative Multimodal Learning via Conditional Priors in Generative Models

Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks

Pipeline-Invariant Representation Learning for Neuroimaging

Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis


This branch is developed for deep face recognition

NormFace: L2 Hypersphere Embedding for Face Verification

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Regularizing Face Verification Nets For Pain Intensity Regression

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

SeqFace: Make full use of sequence information for face recognition

SeqFace: Learning discriminative features by using face sequences

A simple and effective postprocessing method for image classification


[ECCV2020] A super-resolution dataset of paired LR-HR scene text images

Real-World Single Image Super-Resolution: A Brief Review

Scene Text Image Super-Resolution in the Wild

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition


A question answering corpus in insurance domain

Applying Deep Learning to Answer Selection: A Study and An Open Task

Automatic Question-Answering Using A Deep Similarity Neural Network

BanditRank: Learning to Rank Using Contextual Bandits

Bayesian Optimization for Selecting Efficient Machine Learning Models


STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Social Attention: Modeling Attention in Human Crowds

International Conference on Computer Vision

Human Trajectory Prediction via Counterfactual Analysis


[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Focused Transformer: Contrastive Training for Context Scaling

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Large Language Models in Finance: A Survey

LLM360: Towards Fully Transparent Open-Source LLMs

Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Privacy-Preserving In-Context Learning for Large Language Models

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer


This reporsitory contains metadata of WavCaps dataset and codes for downstream tasks.

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Weakly-supervised Automated Audio Captioning via text only training

Cacophony: An Improved Contrastive Audio-Text Model


Easy Bootstrap Resampling and Approximate Randomization for BLEU, METEOR, and TER using Multiple Optimizer Runs. This implements "Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability" from ACL 2011.

A Call for Clarity in Reporting BLEU Scores

Neural Paraphrase Generation with Stacked Residual LSTM Networks

A Deep Generative Framework for Paraphrase Generation

A Shared Task on Multimodal Machine Translation and Crosslingual Image Description

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU

Workshop on Statistical Machine Translation

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

Fill-up versus Interpolation Methods for Phrase-based SMT Adaptation

International Workshop on Spoken Language Translation

Multimodal Pivots for Image Caption Translation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers


【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

A 3D Generative Model for Structure-Based Drug Design

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Generating 3D molecules conditional on receptor binding sites with deep generative models


Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

Addressing Distribution Shift in Time Series Forecasting with Instance
  Normalization Flows

Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers


PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

A Survey on Time-Series Pre-Trained Models

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting

A Co-training Approach for Noisy Time Series Learning

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

Deep Coupling Network For Multivariate Time Series Forecasting

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

PowerPM: Foundation Model for Power Systems

Self-Supervised Contrastive Learning for Long-term Forecasting


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

Cluster Contrast for Unsupervised Person Re-Identification

Dual Cluster Contrastive learning for Object Re-Identification

Relation-Based Deep Attention Network with Hybrid Memory for One-Shot Person Re-Identification


HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

PaStaNet: Toward Human Activity Knowledge Engine

HAKE: Human Activity Knowledge Engine

HAKE: A Knowledge Engine Foundation for Human Activity Understanding


TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

ImageNet Large Scale Visual Recognition Challenge

Interventional Few-Shot Learning

Meta-Transfer Learning through Hard Tasks

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization


Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

LawBench: Benchmarking Legal Knowledge of Large Language Models

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model


Code release for SLIP Self-supervision meets Language-Image Pre-training

SLIP: Self-supervision meets Language-Image Pre-training

PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

Contrastive language and vision learning of general fashion concepts

Hyperbolic Image-Text Representations

Attentive Mask CLIP

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data

Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders

Boosting Visual-Language Models by Exploiting Hard Samples

Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining


Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Semantic photo manipulation with a generative image prior

Improved StyleGAN Embedding: Where are the Good Latents?

Diffeomorphic Counterfactuals with Generative Models


FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices


Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

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

Insights Into LSTM Fully Convolutional Networks for Time Series Classification

Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification

International Journal of Advanced Computer Science and Applications

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information

ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data

International Convention on Information and Communication Technology, Electronics and Microelectronics


This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Occupancy Networks: Learning 3D Reconstruction in Function Space

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

Learning Deformable Tetrahedral Meshes for 3D Reconstruction

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction


PEPPER-Margin-DeepVariant

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Highly contiguous assemblies of 101 drosophilid genomes

Semi-automated assembly of high-quality diploid human reference genomes

De-novo Assembly of Limnospira fusiformis Using Ultra-Long Reads

Benchmarking small variant detection with ONT reveals high performance in challenging regions

Rapid transcriptomic and physiological changes in the freshwater pennate diatom Mayamaea pseudoterrestris in response to copper exposure.

DNA research : an international journal for rapid publication of reports on genes and genomes

Phased genomics reveals hidden somatic mutations and provides insight into fruit development in sweet orange


A place to share problems solved with SciANN

A deep learning framework for solution and discovery in solid mechanics

Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training

A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity

Constitutive model characterization and discovery using physics-informed deep learning

Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media

An enrichment approach for enhancing the expressivity of neural operators with applications to seismology

Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation

Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks


CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Constructing and Analyzing the LSM Compaction Design Space

On the Complexity of Checking Transactional Consistency

ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication

Testing Database Engines via Query Plan Guidance

CFS: A Distributed File System for Large Scale Container Platforms

Automated system performance testing at MongoDB

Proceedings of the workshop on Testing Database Systems

Blockchains and Distributed Databases: a Twin Study.

Scalable Querying of Nested Data

Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package

IEEE Transactions on Software Engineering


Code for Neural Spline Flows paper

Neural Spline Flows

Scalable Normalizing Flows for Permutation Invariant Densities

Variational Inference with Continuously-Indexed Normalizing Flows

Robust model training and generalisation with Studentising flows

Learning Bijective Feature Maps for Linear ICA

Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates

Neural PCA for Flow-Based Representation Learning


MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

Large Language Models are Zero-Shot Reasoners

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Exploring Human-Like Translation Strategy with Large Language Models


Fast Approximate Membership Filters (C++)

Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters

ACM Journal of Experimental Algorithmics

Binary Fuse Filters: Fast and Smaller Than Xor Filters

Prefix Filter: Practically and Theoretically Better Than Bloom


Calculate biomass with allometric equations from the allodb package and ForestGEO data


Database with battery parameters based on PerMod (HTW Berlin) as well as functions in order to simulate battery storages (manufacturer+model or generic type)


EMPEROR Exoplanet Mcmc Parallel tEmpering Radial velOcity fitteR

An ultrahot Neptune in the Neptune desert

The Pan-Pacific Planet Search. VII. The Most Eccentric Planet Orbiting a Giant Star

Truly eccentric - I. Revisiting eight single-eccentric planetary systems

Monthly notices of the Royal Astronomical Society

NGTS-6b: An Ultra Short Period Hot-Jupiter Orbiting an Old K Dwarf

Monthly Notices of the Royal Astronomical Society

GJ 357: a low-mass planetary system uncovered by precision radial velocities and dynamical simulations

Re-analyzing the Dynamical Stability of the HD 47366 Planetary System

Stability analysis of three exoplanet systems


The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

Fast Infrared Radiative Transfer Calculations Using Graphics Processing Units: JURASSIC-GPU v2.0


On Automating the Doctrine of Double Effect

Toward the Engineering of Virtuous Machines

On Quantified Modal Theorem Proving for Modeling Ethics

Qualitative Mechanical Problem-Solving by Artificial Agents:

The International FLAIRS Conference Proceedings