A library that makes Evolutionary Strategies (ES) simple to use.

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Minimal Neural Network Models for Permutation Invariant Agents

Proceedings of the Genetic and Evolutionary Computation Conference

Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning


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

SwinIR: Image Restoration Using Swin Transformer

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

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

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution


Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects


NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification and Combinatorial Optimisation.

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

Learnable Hypergraph Laplacian for Hypergraph Learning

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs

AHP: Learning to Negative Sample for Hyperedge Prediction

Preventing Over-Smoothing for Hypergraph Neural Networks


LexiLaw - 中文法律大模型

LawBench: Benchmarking Legal Knowledge of Large Language Models

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

AviationGPT: A Large Language Model for the Aviation Domain

BLADE: Enhancing Black-box Large Language Models with Small
  Domain-Specific Models


FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Federated Optimization in Heterogeneous Networks

Agnostic Federated Learning

Adaptive Personalized Federated Learning

Federated Learning with Compression: Unified Analysis and Sharp Guarantees

Distributionally Robust Federated Averaging


Official code for "Tiny Object Detection in Aerial Images".

Tiny Object Detection in Aerial Images

International Conference on Pattern Recognition

A Lightweight Remote Sensing Small Target Image Detection Algorithm Based on Improved YOLOv8

MPE-YOLO: enhanced small target detection in aerial imaging


Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Graph-based Semi-supervised Learning: A Comprehensive Review

MILE: A Multi-Level Framework for Scalable Graph Embedding

Neural graph embeddings as explicit low-rank matrix factorization for link prediction

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs

QUINT: Node embedding using network hashing

IEEE Transactions on Knowledge and Data Engineering


A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Deep Learning on Graphs: A Survey

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling


S3D Text-Video model trained on HowTo100M using MIL-NCE

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

End-to-End Learning of Visual Representations from Uncurated Instructional Videos

RareAct: A video dataset of unusual interactions

Video Question Answering with Phrases via Semantic Roles

Learning a Grammar Inducer from Massive Uncurated Instructional Videos


Few-shot Natural Language Generation for Task-Oriented Dialog

Conversational question answering: a survey

Template Guided Text Generation for Task-Oriented Dialogue

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning

Selective Token Generation for Few-shot Natural Language Generation


Python code for training fair logistic regression classifiers.

Fairness Constraints: Mechanisms for Fair Classification

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Empirical Risk Minimization under Fairness Constraints

Does mitigating ML's impact disparity require treatment disparity?

From Parity to Preference-based Notions of Fairness in Classification

Learning Fair Classifiers

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Fair Bayesian Optimization

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Algorithmic fairness datasets: the story so far


Pytorch code of  "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Matching Networks for One Shot Learning

Meta-Learning for Semi-Supervised Few-Shot Classification

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification


Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

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

Deep contextualized word representations

Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages

CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos

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

Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Program for aligning DNA sequences, a pairwise aligner.

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

Adaptive sequence divergence forged new neurodevelopmental enhancers in humans

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

SyntDB: defining orthologues of human long noncoding RNAs across primates

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

基因组蛋白质组与生物信息学报

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

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

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

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

Chromosome-Level Genome Assembly of the Speckled Blue Grouper (Epinephelus cyanopodus) Provides Insight into Its Adaptive Evolution


Deep Closest Point: Learning Representations for Point Cloud Registration

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

Irregularly Tabulated MLP for Fast Point Feature Embedding


The NES Music Database: use machine learning to compose music for the Nintendo Entertainment System!

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

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


Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models


Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Lag-Llama: Towards Foundation Models for Time Series Forecasting

Chronos: Learning the Language of Time Series


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

Going Deeper with Convolutions

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

The Kinetics Human Action Video Dataset

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

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

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

Models Genesis

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

Weakly-supervised Action Localization with Background Modeling

Weakly-Supervised Action Localization by Generative Attention Modeling

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery


3D de novo assembly (3D DNA) pipeline

Contrasting signatures of genomic divergence during sympatric speciation

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

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Genomic insights into the origin, domestication and genetic basis of agronomic traits of castor bean

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

Einkorn genomics sheds light on history of the oldest domesticated wheat

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata

A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis


HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.

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

Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network

A Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection

An improved anchor-free SAR ship detection algorithm based on brain-inspired attention mechanism


Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

Multi-Task Deep Recommender Systems: A Survey

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation

Federated Recommendation with Additive Personalization

Task Relation-aware Continual User Representation Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


Salesforce open-source LLMs with 8k sequence length.

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

XGen-7B Technical Report

Contextual Confidence and Generative AI


{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data
  Selection for Machine Translation


Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Seq2EG: a novel and effective event graph parsing approach for event extraction


Tools for manipulating sequence graphs in the GFA and rGFA formats

A draft human pangenome reference

High-quality Arabidopsis thaliana Genome Assembly with Nanopore and HiFi Long Reads

基因组蛋白质组与生物信息学报

The design and construction of reference pangenome graphs

Haplotype-resolved Chinese male genome assembly based on high-fidelity sequencing

Chromosome-level and graphic genomes provide insights into metabolism of bioactive metabolites and cold-adaption of Pueraria lobata var. montana

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

A Chromosome Level Genome Assembly of a Winter Turnip Rape (Brassica rapa L.) to Explore the Genetic Basis of Cold Tolerance

Fast sequence to graph alignment using the graph wavefront algorithm

RGFA: powerful and convenient handling of assembly graphs

Telomere-to-telomere assembly of cassava genome reveals the evolution of cassava and divergence of allelic expression

Chromosome-Scale, Haplotype-Resolved Genome Assembly of Non-Sex-Reversal Females of Swamp Eel Using High-Fidelity Long Reads and Hi-C Data


Medical Image Segmentation using Squeeze-and-Expansion Transformers

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Few-Shot Domain Adaptation with Polymorphic Transformers

3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume


Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Offline Meta-Reinforcement Learning with Online Self-Supervision

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

Context Meta-Reinforcement Learning via Neuromodulation

Meta-Model-Based Meta-Policy Optimization

State Regularized Policy Optimization on Data with Dynamics Shift

Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

Meta-Learning Parameterized Skills


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

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

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Blind Image Super-Resolution with Spatial Context Hallucination

Kernelized Back-Projection Networks for Blind Super Resolution


3D face swapping implemented in Python

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

FSGAN: Subject Agnostic Face Swapping and Reenactment

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

Noiseprint: a CNN-based camera model fingerprint

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

IEEE transactions on pattern analysis and machine intelligence

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

DeepFake Detection by Analyzing Convolutional Traces

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

Video Face Manipulation Detection Through Ensemble of CNNs


[CVPR 2024] DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with
  Semantic Graph Prior


Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

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


Contrastive Predictive Coding for Automatic Speaker Verification

Representation Learning with Contrastive Predictive Coding

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

A Survey on Time-Series Pre-Trained Models

Contrastive Predictive Coding Based Feature for Automatic Speaker Verification


Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Deep learning based Sequential model for malware analysis using Windows exe API Calls

Data Augmentation Based Malware Detection using Convolutional Neural Networks

A Benchmark API Call Dataset for Windows PE Malware Classification

Analyzing the performance of long short‐term memory architectures for malware detection models

Concurrency and Computation: Practice and Experience

Channel Features and API Frequency-Based Transformer Model for Malware Identification


This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

Graph Neural Network for Traffic Forecasting: A Survey

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

A Comprehensive Survey on Traffic Prediction.

Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency


See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Improved Techniques for Training GANs

Triple Generative Adversarial Nets

Triple Generative Adversarial Networks

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder


Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

Meeting of the Association for Computational Linguistics

CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction

Findings of the Association for Computational Linguistics: ACL 2022

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers

Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors


Multivariate 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

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

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

Fake news detection: A survey of graph neural network methods

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Handling Variable-Dimensional Time Series with Graph Neural Networks

Classification of multivariate functional data on different domains with Partial Least Squares approaches


A Configurable Recommender Systems Simulation Platform

RecSim: A Configurable Simulation Platform for Recommender Systems

User Behavior Simulation with Large Language Model based Agents

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System

Recommendation with User Active Disclosing Willingness


Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)

TOFIMS mass spectrometry-based immunopeptidomics refines tumor antigen identification

Do Domain-Specific Protein Language Models Outperform General Models on Immunology-Related Tasks?

Efficient and accurate detection of viral sequences at single-cell resolution reveals novel viruses perturbing host gene expression

bioRxiv : the preprint server for biology

Three Rounds of Read Correction Significantly Improve Eukaryotic Protein Detection in ONT Reads


➡➡⬅➡ Draw gene arrow maps in ggplot2

A draft human pangenome reference

Long-Read Genome Assemblies Reveal Extraordinary Variation in the Number and Structure of MHC Loci in Birds

Tight Adherence (Tad) Pilus Genes Indicate Putative Niche Differentiation in Phytoplankton Bloom Associated Rhodobacterales

Identification and Full Characterisation of Two Novel Crustacean Infecting Members of the Family Nudiviridae Provides Support for Two Subfamilies

Clinical Molecular and Genomic Epidemiology of Morganella morganii in China

Single-cell virus sequencing of influenza infections that trigger innate immunity

A ROR2 coding variant is associated with craniofacial variation in domestic pigeons

Influenza virus transcription and progeny production are poorly correlated in single cells

A Hopeful Sea-Monster: A Very Large Homologous Recombination Event Impacting the Core Genome of the Marine Pathogen Vibrio anguillarum

Extracellular vesicles are the main contributor to the non-viral protected extracellular sequence space


Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes

Learning Effective Binary Visual Representations with Deep Networks


Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Recent Advances in Open Set Recognition: A Survey

Open-world Machine Learning: Applications, Challenges, and Opportunities

Unseen Class Discovery in Open-world Classification

An Effective Baseline for Robustness to Distributional Shift

Deep Learning Based Open Set Acoustic Scene Classification

torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python


EMNLP 2021 - Pre-training architectures for dense retrieval

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

Condenser: a Pre-training Architecture for Dense Retrieval

A Neural Corpus Indexer for Document Retrieval

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval

Multi-stage Information Retrieval for Vietnamese Legal Texts


Workshop and Challenge on  Perceptual Image Restoration  and Manipulation

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

The Perception-Distortion Tradeoff

Progressive Perception-Oriented Network for Single Image Super-Resolution

Journey Towards Tiny Perceptual Super-Resolution

RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank

Tarsier: Evolving Noise Injection in Super-Resolution GANs

Kernelized Back-Projection Networks for Blind Super Resolution

Unsupervised Denoising for Super-Resolution (UDSR) of Real-World Images


Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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

Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction

International Conference on Computational Linguistics

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing

Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction

Proceedings of the 25th Conference on Computational Natural Language Learning


Tensorflow implementation of DeepFM for CTR prediction.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

MARS: Memory Attention-Aware Recommender System

Deep Factorization Machines for Knowledge Tracing

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

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

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning

Deep Attentional Factorization Machines Learning Approach for Driving Safety Risk Prediction


[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Evaluating Object Hallucination in Large Vision-Language Models

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination & Visual Illusion in Large Vision-Language Models

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning


[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Restormer: Efficient Transformer for High-Resolution Image Restoration

Multi-Stage Progressive Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement


N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Learning Deep Time-index Models for Time Series Forecasting

Topological Attention for Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series Prediction

FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting

Addressing Distribution Shift in Time Series Forecasting with Instance
  Normalization Flows


Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.

The Race to the Vulnerable: Measuring the Log4j Shell Incident

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations


BERT models for Japanese text.

BERTje: A Dutch BERT Model

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

RoBERT – A Romanian BERT Model

Pre-training Polish Transformer-based Language Models at Scale

Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT

A lexicon-based approach to examine depression detection in social media: the case of Twitter and university community

Humanities and Social Sciences Communications

Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation

News-based Business Sentiment and its Properties as an Economic Index

Practical Transformer-based Multilingual Text Classification

North American Chapter of the Association for Computational Linguistics

Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring


Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

International Conference on Information and Knowledge Management

Reinforcement learning on graphs: A survey

Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation


:art: Winning solution for the Painter by Numbers competition on Kaggle.

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

AIRD: Adversarial Learning Framework for Image Repurposing Detection

User-Controllable Arbitrary Style Transfer via Entropy Regularization

Proceedings of the AAAI Conference on Artificial Intelligence

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Vegetation Mapping by UAV Visible Imagery and Machine Learning


Make sankey, alluvial and sankey bump plots in ggplot

Regulatory fine-tuning of mcr-1 increases bacterial fitness and stabilises antibiotic resistance in agricultural settings

Plasmid-Encoded Traits Vary across Environments

Merkel cell polyomavirus-specific and CD39+CLA+ CD8 T cells as blood-based predictive biomarkers for PD-1 blockade in Merkel cell carcinoma

Interspecific behavioural interference and range dynamics: current insights and future directions

Biological reviews/Biological reviews of the Cambridge Philosophical Society


Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

A Survey on the Use of Graph Convolutional Networks for Combating Fake News

Dynamic Graph Representation Learning via Graph Transformer Networks

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction

DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs

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

Deep learning for dynamic graphs: models and benchmarks

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions


A toolbox for working with genome trees.

Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

Methylotrophic methanogenesis discovered in the archaeal phylum Verstraetearchaeota

Eukaryotic genomes from a global metagenomic data set illuminate trophic modes and biogeography of ocean plankton

Pangenomics reveals alternative environmental lifestyles among chlamydiae

Zenodo (CERN European Organization for Nuclear Research)

910 metagenome-assembled genomes from the phytobiomes of three urban-farmed leafy Asian greens

Metagenome-Assembled Genomes From Pyropia haitanensis Microbiome Provide Insights Into the Potential Metabolic Functions to the Seaweed

Single cell genome sequencing of laboratory mouse microbiota improves taxonomic and functional resolution of this model microbial community

Transmission of the gut microbiome in cohousing goats and pigs

Genome-resolved carbon processing potential of tropical peat microbiomes from an oil palm plantation

Dataset of 130 metagenome-assembled genomes of healthy and diseased broiler chicken caeca from Pakistan


Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems

Symposium on Dependable Autonomic and Secure Computing

Safe Predictors for Enforcing Input-Output Specifications

Generating probabilistic safety guarantees for neural network controllers

Point-Based Value Iteration for POMDPs with Neural Perception Mechanisms


Public branch of CONNECT

CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference

Fast and effortless computation of profile likelihoods using CONNECT


Mapping, filtering, and data hub visualisation pipeline for DNase, ATAC, ChIP data

DOT1L inhibition reveals a distinct subset of enhancers dependent on H3K79 methylation

BET inhibition disrupts transcription but retains enhancer-promoter contact

H3K79me2/3 controls enhancer–promoter interactions and activation of the pan-cancer stem cell marker PROM1/CD133 in MLL-AF4 leukemia cells

NGseqBasic - a single-command UNIX tool for ATAC-seq, DNaseI-seq, Cut-and-Run, and ChIP-seq data mapping, high-resolution visualisation, and quality control

On-microscope staging of live cells reveals changes in the dynamics of transcriptional bursting during differentiation


A PyTorch-based suite of deep unsupervised clustering algorithms

Stochastic Gradient VB and the Variational Auto-Encoder

Unsupervised Deep Embedding for Clustering Analysis

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VIII


For a sequence or list of sequences, simple-circularise will circularise a linear sequence that should be circular but has been overlapped during assembly.

Complete Genome of Lactobacillus iners KY Using Flongle Provides Insight Into the Genetic Background of Optimal Adaption to Vaginal Econiche

Highly Specialized Carbohydrate Metabolism Capability in Bifidobacterium Strains Associated with Intestinal Barrier Maturation in Early Preterm Infants

Complete Genome Sequences of Six Lactobacillus iners Strains Isolated from the Human Vagina

Chromosome-level genome assembly and transcriptome-based annotation of the oleaginous yeast Rhodotorula toruloides CBS 14

Mitochondrial genome fragmentation is correlated with increased rates of molecular evolution


Breaching privacy in federated learning scenarios for vision and text

Inverting Gradients -- How easy is it to break privacy in federated learning?

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

When the Curious Abandon Honesty: Federated Learning Is Not Private

R-GAP: Recursive Gradient Attack on Privacy

Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification

LAMP: Extracting Text from Gradients with Language Model Priors

User-Level Label Leakage from Gradients in Federated Learning

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models


Code for the paper Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents: https://arxiv.org/abs/2205.12486

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Big Bird: Transformers for Longer Sequences

Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?


Code to run analysis in "A Multiplexed Assay for Exon Recognition Reveals that an Unappreciated Fraction of Rare Genetic Variants Cause Large-Effect Splicing Disruptions"

CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores

MMSplice: modular modeling improves the predictions of genetic variant effects on splicing

Predicting RNA splicing from DNA sequence using Pangolin

Mutations primarily alter the inclusion of alternatively spliced exons

Modular modeling improves the predictions of genetic variant effects on splicing

Mutational bias and the protein code shape the evolution of splicing enhancers


A continuous local search SAT solver based on Fourier expansion for hybrid Boolean constraints.

FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints

On Continuous Local BDD-Based Search for Hybrid SAT Solving

Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs


Implements synchrotron emission from cooling electrons

Prompt Emission and Early Optical Afterglow of Very-high-energy Detected GRB 201015A and GRB 201216C: Onset of the External Forward Shock

Improving INTEGRAL/SPI data analysis of GRBs


Official code of our work, PolicyQA: A Reading Comprehension Dataset for Privacy Policies [Findings of EMNLP 2020].

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

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

Mitigating Data Scarcity for Large Language Models


Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems

Expansion microscopy using a single anchor molecule for high-yield multiplexed imaging of proteins and RNAs


Official repository of the Hate Speech Detection Tasks at Evalita

Deep Learning Models for Multilingual Hate Speech Detection

In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets

Towards multidomain and multilingual abusive language detection: a survey

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models


Official implementation of compound word transformer (AAAI'21)

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

BERT-like Pre-training for Symbolic Piano Music Classification Tasks

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

From Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion


Python implementation of PSRPOP, designed to be run from the command line or from Python scripts/interpreter

PALFA Discovery of a Highly Relativistic Double Neutron Star Binary

ARECIBO PULSAR SURVEY USING ALFA. IV. MOCK SPECTROMETER DATA ANALYSIS, SURVEY SENSITIVITY, AND THE DISCOVERY OF 40 PULSARS

The High Time Resolution Universe Pulsar Survey – XII. Galactic plane acceleration search and the discovery of 60 pulsars

Monthly Notices of the Royal Astronomical Society

THE GMRT HIGH RESOLUTION SOUTHERN SKY SURVEY FOR PULSARS AND TRANSIENTS. I. SURVEY DESCRIPTION AND INITIAL DISCOVERIES

Time-domain and spectral properties of pulsars at 154 MHz

A comparison of Galactic electron density models using PyGEDM

Publications of the Astronomical Society of Australia

ARECIBO PULSAR SURVEY USING ALFA. III. PRECURSOR SURVEY AND POPULATION SYNTHESIS

Multi-messenger Approaches to Supermassive Black Hole Binary Detection and Parameter Estimation. II. Optimal Strategies for a Pulsar Timing Array

A 21 cm pilot survey for pulsars and transients using the Focal L-Band Array for the Green Bank Telescope

Radio Millisecond Pulsars


Course Materials for EN.601.452 / AS.020.415 Computational Biomedical Research & Advanced Biomedical Research

Kraken: ultrafast metagenomic sequence classification using exact alignments

MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects

Big Data: Astronomical or Genomical?

Chapter 11: Genome-Wide Association Studies

Eleven grand challenges in single-cell data science

Quake: quality-aware detection and correction of sequencing errors

Chapter 12: Human Microbiome Analysis


Progressive Transformers for End-to-End Sign Language Production

Real-Time Sign Language Gesture (Word) Recognition from Video Sequences Using CNN and RNN

Advances in intelligent systems and computing

Sign Language Translation Using Multi Context Transformer

Mexican International Conference on Artificial Intelligence


BemTool is a C++ boundary element library.

Robust treatment of cross points in Optimized Schwarz Methods

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem


Fitting potential energy surface using monomial symmetrization approach

Automating the Development of High-Dimensional Reactive Potential Energy Surfaces with the ROBOSURFER Program System

Journal of chemical theory and computation

q-AQUA: A Many-Body CCSD(T) Water Potential, Including Four-Body Interactions, Demonstrates the Quantum Nature of Water from Clusters to the Liquid Phase.

The journal of physical chemistry letters

Breaking the Coupled Cluster Barrier for Machine-Learned Potentials of Large Molecules: The Case of 15-Atom Acetylacetone

A Δ-Machine Learning Approach for Force Fields, Illustrated by a CCSD(T) 4-body Correction to the MB-pol Water Potential

Quantum Calculations on a New CCSD(T) Machine-Learned Potential Energy Surface Reveal the Leaky Nature of Gas-Phase Trans and Gauche Ethanol Conformers

No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials.


Python wrappers for accessing Forest Observatory data via the Salo API


A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

On PAC-Bayesian Bounds for Random Forests

Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

On Margins and Generalisation for Voting Classifiers


Spatial Flexible Continuous Time Markov Network (SFCTMN)

Dynamic Channel Bonding in Spatially Distributed High-Density WLANs

Spatial Reuse in IEEE 802.11ax WLANs

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs


A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Signed Graph Attention Networks

SDGNN: Learning Node Representation for Signed Directed Networks

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs

A Graph Convolution for Signed Directed Graphs

Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions


Long Text Generation via Adversarial Training with Leaked Information

Language Generation with Recurrent Generative Adversarial Networks without Pre-training

Text Generation Based on Generative Adversarial Nets with Latent Variable


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

Eight new millisecond pulsars from the first MeerKAT globular cluster census

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

HAL (Le Centre pour la Communication Scientifique Directe)

Four pulsar discoveries in NGC 6624 by TRAPUM using MeerKAT

Upgraded GMRT survey for pulsars in globular clusters

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

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

MeerKAT discovery of 13 new pulsars in Omega Centauri

Discoveries and timing of pulsars in NGC 6440

Monthly notices of the Royal Astronomical Society

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

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


Repository for crowd tracking and robot performance evaluation in experiments

Avoidance of Convex and Concave Obstacles With Convergence Ensured Through Contraction

International Conference on Robotics and Automation

Unpowered Lower-Body Exoskeleton with Torso Lifting Mechanism for Supporting Sit-to-Stand Transitions

Personal Mobility With Synchronous Trunk–Knee Passive Exoskeleton: Optimizing Human–Robot Energy Transfer

Reactive Navigation in Crowds for Non-Holonomic Robots With Convex Bounding Shape

Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements

Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics


Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

Low-rank matrix completion by Riemannian optimization---extended version

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed ℓ_q Minimization

Low-rank matrix recovery via iteratively reweighted least squares minimization

Normalized Iterative Hard Thresholding for Matrix Completion

Low rank matrix completion by alternating steepest descent methods

Applied and Computational Harmonic Analysis

Low-rank matrix completion via preconditioned optimization on the Grassmann manifold

CGIHT: Conjugate Gradient Iterative Hard Thresholding for Compressed Sensing and Matrix Completion

Information and Inference A Journal of the IMA

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

R3MC: A Riemannian three-factor algorithm for low-rank matrix completion


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

Predicting RNA-Protein Interactions Using Only Sequence Information

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

NPInter v2.0: an updated database of ncRNA interactions

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

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

International journal of molecular sciences


Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

Grammar Variational Autoencoder

Syntax-Directed Variational Autoencoder for Structured Data

ChemTS: An Efficient Python Library for de novo Molecular Generation

Science and technology of advanced materials

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

A Model to Search for Synthesizable Molecules

Improving black-box optimization in VAE latent space using decoder uncertainty

Graph-based Molecular Representation Learning

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation


Efficient AGN light curve modeling and parameter estimation using celerite

A characteristic optical variability timescale in astrophysical accretion disks

Zenodo (CERN European Organization for Nuclear Research)

Dwarf AGNs from variability for the origins of seeds (DAVOS): optical variability of broad-line dwarf AGNs from the zwicky transient facility

How Long Will the Quasar UV/Optical Flickering Be Damped?


Mock spatially resolved spectral line observations of simulated galaxies.

Off the Baryonic Tully–Fisher Relation: A Population of Baryon-dominated Ultra-diffuse Galaxies

Robust H i kinematics of gas-rich ultra-diffuse galaxies: hints of a weak-feedback formation scenario

The H I velocity function: a test of cosmology or baryon physics?

The diversity of rotation curves of simulated galaxies with cusps and cores

The redshift evolution of the baryonic Tully-Fisher relation in SIMBA

A comparison of the baryonic Tully–Fisher relation in MaNGA and IllustrisTNG

Using eagle simulations to study the effect of observational constraints on the determination of H i asymmetries in galaxies

ASymba: HI global profile asymmetries in the Simba simulation

A warm dark matter cosmogony may yield more low-mass galaxy detections in 21-cm surveys than a cold dark matter one

Determining the Dark Matter distribution in galaxies with Deep Learning


Result data from the SimRa project

CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors

Achieving Realistic Cyclist Behavior in SUMO using the SimRa Dataset

A Realistic Cyclist Model for SUMO Based on the SimRa Dataset


ACTIN is a Python program to calculate stellar activity indices

A low-mass planet candidate orbiting Proxima Centauri at a distance of 1.5 AU

Detection of Na, K, and H alpha absorption in the atmosphere of WASP-52b using ESPRESSO

Stellar chromospheric activity of 1674 FGK stars from the AMBRE-HARPS sample

ACTIN: A tool to calculate stellar activity indices

Decoding the radial velocity variations of HD 41248 with ESPRESSO

The correlation between photometric variability and radial velocity jitter

The GAPS Programme at TNG: XXVII. Reassessment of a young planetary system with HARPS-N: Is the hot Jupiter V830 Tau b really there?

The GAPS Programme at TNG

Planets around evolved intermediate-mass stars - II. Are there really planets around IC 4651 No. 9122, NGC 2423 No. 3, and NGC 4349 No. 127?

HD 23472: a multi-planetary system with three super-Earths and two potential super-Mercuries,


A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates

Recent Advances in Natural Language Processing

Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection

Automatic Fact-Checking Using Context and Discourse Information

BRENDA: Browser Extension for Fake News Detection

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Towards Explainable Fact Checking

A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates


a snow data network (SNOTEL) R package


Long term rotation period finding tool for NASA's TESS mission

Systematics-insensitive Periodogram for Finding Periods in TESS Observations of Long-period Rotators

HD 207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

A close-in giant planet escapes engulfment by its star

Giant Outer Transiting Exoplanet Mass (GOT ’EM) Survey. III. Recovery and Confirmation of a Temperate, Mildly Eccentric, Single-transit Jupiter Orbiting TOI-2010

TESS discovery of a super-Earth orbiting the M-dwarf star TOI-1680


Easily identify and label sentence intervals using various taggers.

A Domain-independent Rule-based Framework for Event Extraction

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS

Odin’s Runes: A Rule Language for Information Extraction

Description of the Odin Event Extraction Framework and Rule Language


Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Findings of the Association for Computational Linguistics: EMNLP 2021

RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans


Based on : Yan, Jerabkova and Kroupa (2017, A&A) and Yan, Jerabkova, Kroupa and Vazdekis (2019, A&A): a Python3 module for computing the galaxy-wide initiall stellar mass function by integrating over a whole galaxy, parametrised by star formation rate and metallicity.

Impact of metallicity and star formation rate on the time-dependent, galaxy-wide stellar initial mass function

Gaia DR2 reveals a star formation burst in the disc 2-3 Gyr ago

The optimally-sampled galaxy-wide stellar initial mass function - Observational tests and the publicly available GalIMF code

Evidence for feedback and stellar-dynamically regulated bursty star cluster formation: the case of the Orion Nebula Cluster

Chemical evolution of ultra-faint dwarf galaxies in the self-consistently calculated integrated galactic IMF theory

Chemical evolution of elliptical galaxies with a variable IMF

The most massive stars in very young star clusters with a limited mass: Evidence favours significant self-regulation in the star formation processes

The integrated galaxy-wide stellar initial mass function over the radial acceleration range of early-type galaxies


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

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

The ExoTETHyS Package: Tools for Exoplanetary Transits around Host Stars

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

TOI-674b: An oasis in the desert of exo-Neptunes transiting a nearby M dwarf

Phase-curve Pollution of Exoplanet Transmission Spectra

JexoSim: a time-domain simulator of exoplanet transit spectroscopy with JWST

The HD 260655 system: Two rocky worlds transiting a bright M dwarf at 10 pc

The homogeneous characterisation of Ariel host stars


FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

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

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment

Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning


R package for fitting joint models to time-to-event and longitudinal data

Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Nonlinear association structures in flexible Bayesian additive joint models

Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application

merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models

Handling missingness value on jointly measured time-course and time-to-event data

Communications in statistics. Simulation and computation


Scripts required to calculate tetramer frequencies and create input files for ESOM. See: Dick, G.J., A. Andersson, B.J. Baker, S.S. Simmons, B.C. Thomas, A.P. Yelton, and J.F. Banfield (2009).  Community-wide analysis of microbial genome sequence signatures. Genome Biology, 10: R85

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes

The genome of an intranuclear parasite, Paramicrosporidium saccamoebae, reveals alternative adaptations to obligate intracellular parasitism

Metagenomic evidence for metabolism of trace atmospheric gases by high-elevation desert Actinobacteria

Complex subsurface hydrothermal fluid mixing at a submarine arc volcano supports distinct and highly diverse microbial communities

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


Multi-Resolution Filtering: a method for isolating faint, extended emission in Dragonfly data and other low resolution images

Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey

The Astrophysical Journal Supplement Series

The Dragonfly Wide Field Survey. I. Telescope, Survey Design, and Data Characterization

Multi-resolution Filtering: An Empirical Method for Isolating Faint, Extended Emission in Dragonfly Data and Other Low Resolution Images

Publications of the Astronomical Society of the Pacific

Reaching for the Edge I: probing the outskirts of massive galaxies with HSC, DECaLS, SDSS, and Dragonfly

Stellar Halos from the The Dragonfly Edge-on Galaxies Survey

A Method to Characterize the Wide-angle Point-Spread Function of Astronomical Images

The Dragonfly Wide Field Survey. II. Accurate Total Luminosities and Colors of Nearby Massive Galaxies and Implications for the Galaxy Stellar-mass Function


A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.

Fully-Convolutional Siamese Networks for Object Tracking

ECO: Efficient Convolution Operators for Tracking

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Staple: Complementary Learners for Real-Time Tracking

End-to-end representation learning for Correlation Filter based tracking

Distractor-aware Siamese Networks for Visual Object Tracking

Discriminative Correlation Filter with Channel and Spatial Reliability

International Journal of Computer Vision

Learning Background-Aware Correlation Filters for Visual Tracking

Learning to Track at 100 FPS with Deep Regression Networks


Integer programming based prediction of RNA secondary structures with pseudoknots

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

ThreshKnot: Thresholded ProbKnot for Improved RNA Secondary Structure Prediction

Integrated pretraining with evolutionary information to improve RNA secondary structure prediction


MITE Tracker: An accurate approach to identify miniature inverted-repeat transposable elements in large genomes

MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes

TransposonUltimate: software for transposon classification, annotation and detection

Improved Methods for Acetocarmine and Haematoxylin Staining to Visualize Chromosomes in the Filamentous Green Alga Zygnema (Charophyta)

bioRxiv : the preprint server for biology


One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)

Image-to-Image Translation with Conditional Adversarial Networks

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


Official code of our NAACL 2019 paper on Zero-Shot Cross-Lingual Transfer with Order Differences

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing


Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition

A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition


A Python package for jointly analyzing multimodal single-cell sequencing data

Cobolt: integrative analysis of multimodal single-cell sequencing data

Clustering of single-cell multi-omics data with a multimodal deep learning method

Deep Learning in Single-Cell Analysis

Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data


D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Content-Adaptive Downsampling in Convolutional Neural Networks


Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"

Towards a Robust Deep Neural Network in Texts: A Survey

Meeting of the Association for Computational Linguistics

A Study of Morphological Robustness of Neural Machine Translation

Special Interest Group on Computational Morphology and Phonology Workshop


Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill

Computing water flow through complex landscapes, Part 2: Finding hierarchies in depressions and morphological segmentations

Computing water flow through complex landscapes – Part 3: Fill–Spill–Merge: flow routing in depression hierarchies


A GUI for measuring properties of Fast Radio Bursts

A broad survey of spectro-temporal properties from FRB 20121102A

Validating the Sub-Burst Slope Law: A Comprehensive Multi-Source Spectro-Temporal Analysis of Repeating Fast Radio Bursts


encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA

Probing parity violation with the four-point correlation function of BOSS galaxies

Colliders and ghosts: Constraining inflation with the parity-odd galaxy four-point function

encore: an O (Ng2) estimator for galaxy N-point correlation functions

Monthly Notices of the Royal Astronomical Society

Efficient Computation of N-point Correlation Functions in D Dimensions

Analytic Gaussian covariance matrices for galaxy N -point correlation functions

A First Detection of the Connected 4-Point Correlation Function of Galaxies Using the BOSS CMASS Sample

The Uchuu-GLAM BOSS and eBOSS LRG lightcones: Exploring clustering and covariance errors

No evidence for parity violation in BOSS


Python scripts for studying bias in recommender systems

The Unfairness of Popularity Bias in Recommendation

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

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

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


Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration

PREGO: A Literature and Data-Mining Resource to Associate Microorganisms, Biological Processes, and Environment Types

Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records


The TechQA dataset -- http://ibm.biz/Tech_QA

The TechQA Dataset

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Mitigating Data Scarcity for Large Language Models


An Enhanced OpenMP Library

OpenMP Loop Scheduling Revisited: Making a Case for More Schedules

A Probabilistic Machine Learning Approach to Scheduling Parallel Loops With Bayesian Optimization

IEEE Transactions on Parallel and Distributed Systems

Toward a Standard Interface for User-Defined Scheduling in OpenMP

Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach


Search Engines with Autoregressive Language models

Autoregressive Search Engines: Generating Substrings as Document Identifiers

A Neural Corpus Indexer for Document Retrieval

Exploring the Practicality of Generative Retrieval on Dynamic Corpora

Detrimental Contexts in Open-Domain Question Answering


This is an official repository for "Artificial Text Detection via Examining the Topology of Attention Maps" presented at EMNLP 2021 conference.

To ChatGPT, or not to ChatGPT: That is the question!

DEMASQ: Unmasking the ChatGPT Wordsmith

Can BERT eat RuCoLA? Topological Data Analysis to Explain


Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

The RWTH Aachen Machine Translation Systems for IWSLT 2017

International Workshop on Spoken Language Translation

Character-level Transformer-based Neural Machine Translation

The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

Neural Machine Translation of Artwork Titles Using Iconclass Codes

Normalization in Context: Inter-Annotator Agreement for Meaning-Based Target Hypothesis Annotation

A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task


WAND-PIC

Synergistic Laser-Wakefield and Direct-Laser Acceleration in the Plasma-Bubble Regime

Far-field constant-gradient laser accelerator of electrons in an ion channel

Nonlinear plasma waves driven by short ultrarelativistic electron bunches

Laser-pulse and electron-bunch plasma wakefield accelerator

WAND-PIC: A three-dimensional quasi-static particle-in-cell code with parallel multigrid solver and without predictor-corrector

Accelerated three-dimensional quasistatic particle-in-cell code


Vision-and-Language Navigation in Continuous Environments using Habitat

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments

GAUDI: A Neural Architect for Immersive 3D Scene Generation

Waypoint Models for Instruction-guided Navigation in Continuous Environments

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments


This repo hosts the code and models of "Masked Autoencoders that Listen".

Masked Autoencoders that Listen

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Global birdsong embeddings enable superior transfer learning for bioacoustic classification

SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound

Music Consistency Models

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI


First Practical and General-purpose Range Filter

bloomRF: On Performing Range-Queries in Bloom-Filters with Piecewise-Monotone Hash Functions and Prefix Hashing

Grafite: Taming Adversarial Queries with Optimal Range Filters

bloomRF: On Performing Range-Queries with Bloom-Filters based on Piecewise-Monotone Hash Functions and Dyadic Trace-Trees

b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches


Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and  CTRL (ICCV 23, oral).

Embracing Single Stride 3D Object Detector with Sparse Transformer

Fully Sparse 3D Object Detection

Super Sparse 3D Object Detection

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels


Invariant-feature Subspace Recovery (ISR)

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Linear unit-tests for invariance discovery

Provable Domain Generalization via Invariant-Feature Subspace Recovery


Learning Passage Impacts for Inverted Indexes

Faster Learned Sparse Retrieval with Guided Traversal

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

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

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

ACM transactions on office information systems


Offline calculation of particle trajectories

Eddy-driven subduction exports particulate organic carbon from the spring bloom

Spiraling pathways of global deep waters to the surface of the Southern Ocean

Pathways of ocean heat towards Pine Island and Thwaites grounding lines

Transformation of Deep Water Masses Along Lagrangian Upwelling Pathways in the Southern Ocean

A Deep Eastern Boundary Current Carrying Indian Deep Water South of Australia

Eddy‐Induced Acceleration of Argo Floats

Numerical Simulations to Project Argo Float Positions in the Middepth and Deep Southwest Pacific

Journal of Atmospheric and Oceanic Technology


Implementation of the xR2RML mapping language and SPARQL-to-MongoDB prototype

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape

The Query Translation Landscape: a Survey

The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs

ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive

Semantic Data Management in Data Lakes


Stata package for two-sample Mendelian randomization analyses using summary data

Guidelines for performing Mendelian randomization investigations

Recent Developments in Mendelian Randomization Studies

Cannabis use and risk of schizophrenia: a Mendelian randomization study

Education and coronary heart disease: mendelian randomisation study

An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research


This version still works, but all development has been moved to: https://github.com/WAM2layers/WAM2layers

Remote land use impacts on river flows through atmospheric teleconnections

Effects of horizontal resolution and air–sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2

Global Impacts of El Niño on Terrestrial Moisture Recycling

On the Influence of the Bay of Bengal's Sea Surface Temperature Gradients on Rainfall of the South Asian Monsoon

Spatial distribution of oceanic moisture contributions to precipitation over the Tibetan Plateau


World Models with TensorFlow 2

World Models

Latent Representation Prediction Networks


Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics

Brain-Inspired Computational Intelligence via Predictive Coding

A Review of Neuroscience-Inspired Machine Learning

An overview of open source Deep Learning-based libraries for Neuroscience


DriverPower

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Decoding human cancer with whole genome sequencing: a review of PCAWG Project studies published in February 2020


pytorch version of PointConv

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PointConv: Deep Convolutional Networks on 3D Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds


tools to work with data downloaded from Open Humans research platform

Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems

Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis


MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

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

LR-Sum: Summarization for Less-Resourced Languages


The code used in the manuscript titled "Gene duplication and evolution in recurring polyploidization-diploidization cycles in plants".

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

A genome sequence resource for the genus Passiflora, the genome of the wild diploid species Passiflora organensis

Comprehensive Analysis of bHLH Transcription Factors in Ipomoea aquatica and Its Response to Anthocyanin Biosynthesis

International journal of molecular sciences

Characterization of Transposon-Derived Accessible Chromatin Regions in Rice (Oryza Sativa)


How To Backdoor Federated Learning

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

RoFL: Robustness of Secure Federated Learning


multiplicatively convolutional fast integral transforms implementing FFTLog

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Journal of Cosmology and Astroparticle Physics

Galaxy power-spectrum responses and redshift-space super-sample effect

Robustness of baryon acoustic oscillation constraints for early-Universe
  modifications to ΛCDM

Disconnected covariance of 2-point functions in large-scale structure

Going beyond the galaxy power spectrum: An analysis of BOSS data with wavelet scattering transforms

What does the marked power spectrum measure? Insights from perturbation theory

DES Y3 cosmic shear down to small scales: Constraints on cosmology and baryons

The reconstructed power spectrum in the Zeldovich approximation

An effective model for the cosmic-dawn 21-cm signal


TKDE 2021. CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

International Conference on Information and Knowledge Management

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances

An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning

Variational Information Diffusion for Probabilistic Cascades Prediction

International Conference on Computer Communications


[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

GLC++: Source-Free Universal Domain Adaptation through Global-Local
  Clustering and Contrastive Affinity Learning


Learning General Policies from Small Examples Without Supervision

Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 10

Proof-Carrying Plans: a Resource Logic for AI Planning

Principles and Practice of Declarative Programming

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning

A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates

Synthesis of Procedural Models for Deterministic Transition Systems

An Effective Polynomial Technique for Compiling Conditional Effects Away

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 18

Planning with Dynamically Estimated Action Costs


Creative Commons Attribution 4.0 International

This repository houses data and code for the Global Reforestation Opportunity Assessment (GROA) led by Susan Cook-Patton of the Nature Conservancy.


STAG: Species Tree from All Genes

STAG: Species Tree Inference from All Genes

The Cycas genome and the early evolution of seed plants

Genome Insights of the Plant-Growth Promoting Bacterium Cronobacter muytjensii JZ38 With Volatile-Mediated Antagonistic Activity Against Phytophthora infestans

Data from: FastMulRFS: Statistically consistent polynomial time species tree estimation under gene duplication

In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters

Lineage-Specific Rewiring of Core Pathways Predating Innovation of Legume Nodules Shapes Symbiotic Efficiency

Metagenome sequencing and 768 microbial genomes from cold seep in South China Sea


The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"

Llama 2: Open Foundation and Fine-Tuned Chat Models

Beyond English-Centric Multilingual Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages


Estimating effective elastic thickness of the lithosphere

Toward mapping the effective elastic thickness of planetary lithospheres from a spherical wavelet analysis of gravity and topography

Physics of the Earth and Planetary Interiors

Estimation of the effective elastic thickness of the lithosphere using inverse spectral methods: The state of the art

Effective elastic thickness over the Chinese mainland and surroundings estimated from a joint inversion of Bouguer admittance and coherence

What Controls Effective Elastic Thickness of the Lithosphere in the Pacific Ocean?

Journal of Geophysical Research: Solid Earth

Telewavesim: Python software for teleseismic body wave modeling


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

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Label Noise Types and Their Effects on Deep Learning

SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training


Equinox is an open source platform that supports the holistic risk management of sustainable finance projects


R package for two-sample Mendelian randomization using the robust adjusted profile score

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

Guidelines for performing Mendelian randomization investigations

Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

A genome-wide design and an empirical partially Bayes approach to increase the power of Mendelian randomization, with application to the effect of blood lipids on cardiovascular disease

Circulating S100B levels at birth and risk of six major neuropsychiatric or neurological disorders: a two-sample Mendelian Randomization Study


Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples

Towards a Robust Deep Neural Network in Texts: A Survey

Towards Variable-Length Textual Adversarial Attacks

Perceptual Models of Machine-Edited Text

Meeting of the Association for Computational Linguistics


Intersubject correlation tutorial

Measuring shared responses across subjects using intersubject correlation

Fine-scale dynamics of functional connectivity in the face processing network during movie watching


Workshop Home Page for Benchmarking: Past, Present and Future

Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review

Emerging trends: A gentle introduction to fine-tuning

Emerging Trends: SOTA-Chasing

Benchmarking: Past, Present and Future

Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future

Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing


This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.

Sarcasm Detection using Hybrid Neural Network

News Headlines Dataset For Sarcasm Detection


Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Learning deep representations by mutual information estimation and maximization

Self-Supervised Relational Reasoning for Representation Learning

Mutual Information Gradient Estimation for Representation Learning

Prediction of Progression to Alzheimer's disease with Deep InfoMax

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

Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery


Levy distributions for Python

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints

International Conference on Acoustics, Speech, and Signal Processing

Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering


R script to make Manhattan-style plot for TWAS

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

Unraveling the causal genes and transcriptomic determinants of human telomere length

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


Software framework for vision-based quadrotor multi-robot systems

A Reliable Open-Source System Architecture for the Fast Designing and Prototyping of Autonomous Multi-UAV Systems: Simulation and Experimentation

Journal of Intelligent and Robotic Systems

A system for the design and development of vision-based multi-robot quadrotor swarms

International Conference on Unmanned Aircraft Systems

A Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition

A vision based aerial robot solution for the Mission 7 of the International Aerial Robotics Competition

Visual Quadrotor Swarm for the IMAV 2013 Indoor Competition

ROBOT2013: First Iberian Robotics Conference


A tool for the calculation of RNA-editing index for RNA seq data

REDIportal: millions of novel A-to-I RNA editing events from thousands of RNAseq experiments

A Comprehensive Analysis of the Effect of A>I(G) RNA-Editing Sites on Genotoxic Drug Response and Progression in Breast Cancer


A k-mer based program for the identification of known plasmids from whole-genome sequencing reads

PlasmidSeeker: identification of known plasmids from bacterial whole genome sequencing reads

The Dynamics of the Antimicrobial Resistance Mobilome of Salmonella enterica and Related Enteric Bacteria

The Emergence of the Tetrathionate Reductase Operon in the

                    Escherichia coli/Shigella Pan-genome.

Insights into the Genetic Contexts of Sulfonamide Resistance Among Early Clinical Isolates of Acinetobacter Baumannii

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases


The MSR FastRDFStore Package is designed for creating an in-memory index of RDF triples, implemented as a WCF service in C#, and consists of server & client side code.

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with
  Knowledge Graphs

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph
  Question Answering


Repo for ShenNong-TCM-LLM (“神农”大模型，首个中医药中文大模型)

PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

Datasets for Large Language Models: A Comprehensive Survey

IvyGPT: InteractiVe Chinese pathwaY language model in medical domain


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

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

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


Machine translation (MT) benchmark dataset for languages in the Horn of Africa.

Building Machine Translation Systems for the Next Thousand Languages

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages

The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation

EthioLLM: Multilingual Large Language Models for Ethiopian Languages
  with Task Evaluation

GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African Languages

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language


The one-stop package for formulating, simulating, and solving problems in boolean and spin form

Quantum Annealing Formulation for Binary Neural Networks

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA

QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization


Fusion-in-Decoder

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Improving language models by retrieving from trillions of tokens

Distilling Knowledge from Reader to Retriever for Question Answering

A Dataset for Answering Time-Sensitive Questions

On the Risk of Misinformation Pollution with Large Language Models

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

A Memory Efficient Baseline for Open Domain Question Answering

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Conversational Question Answering on Heterogeneous Sources

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media


Interface to the World Database on Protected Areas


Python skymaps based on basemap

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

The Dark Energy Survey Data Release 2

The Astrophysical Journal Supplement Series

The DECam Local Volume Exploration Survey: Overview and First Data Release

The DECam Local Volume Exploration Survey Data Release 2

The Dark Energy Survey Six-Year Calibration Star Catalog


Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023


CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese

CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese


R package for pre-processing of mass and flow cytometry data

Dynamic CD8+ T cell responses to cancer immunotherapy in human regional lymph nodes are disrupted in metastatic lymph nodes

Immune cell repertoires in breast cancer patients after adjuvant chemotherapy

Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection

In vivo killing of primary HIV-infected cells by peripheral-injected early memory–enriched anti-HIV duoCAR T cells

Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

Data processing workflow for large-scale immune monitoring studies by mass cytometry

Computational and structural biotechnology journal

CytofIn enables integrated analysis of public mass cytometry datasets using generalized anchors

Gestationally-Dependent Immune Organization at the Maternal-Fetal Interface

High-dimensional immunotyping of tumors grown in obese and non-obese mice

Natural Killer Cell Receptors and Ligands Are Associated With Markers of HIV-1 Persistence in Chronically Infected ART Suppressed Patients

Frontiers in cellular and infection microbiology


Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization

Delve into the Performance Degradation of Differentiable Architecture Search

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


[CVPR 2022] ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

RISE: Randomized Input Sampling for Explanation of Black-box Models

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Bootstrapping Semantic Segmentation with Regional Contrast

Puzzle-CAM: Improved localization via matching partial and full features

International Conference on Information Photonics


This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.

Learning practically feasible policies for online 3D bin packing


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

Revisiting Link Prediction: A Data Perspective


R tools for Agilent electrophoresis data

Manipulation of topoisomerase expression inhibits cell division but not growth and reveals a distinctive promoter structure in Synechocystis

DNA/RNA Preservation in Glacial Snow and Ice Samples

Plasmid supercoiling decreases during the dark phase in cyanobacteria: a clarification of the interpretation of chloroquine-agarose gels

Uncoupling of the Diurnal Growth Program by Artificial Genome Relaxation in Synechocystis sp. PCC 6803


Semi-supervised Domain Adaptation via Minimax Entropy

Reducing Domain Gap by Reducing Style Bias

CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning

Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling


Efficient Training of Audio Transformers with Patchout

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

AudioSR: Versatile Audio Super-resolution at Scale

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

Audio Embeddings as Teachers for Music Classification


A Tensorflow implementation Mutual Information estimation methods

Representation Learning with Contrastive Predictive Coding

MINE: Mutual Information Neural Estimation

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization


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

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

Evaluating liquid biopsies for methylomic profiling of prostate cancer

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

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

Chronic graft-versus-host disease is characterized by high levels and distinctive tissue-of-origin patterns of cell-free DNA


PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020

ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN

EventGraph: Event Extraction as Semantic Graph Parsing


RoBERTa中文预训练模型: RoBERTa for Chinese

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Pre-Training with Whole Word Masking for Chinese BERT

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

A BERT-based Dual Embedding Model for Chinese Idiom Prediction

Semantic Role Labeling with Heterogeneous Syntactic Knowledge

International Conference on Computational Linguistics


DaPars(Dynamic analysis of Alternative PolyAdenylation from RNA-seq)

Alternative polyadenylation: methods, mechanism, function, and role in cancer

Journal of experimental & clinical cancer research : CR

Dissecting the heterogeneity of the alternative polyadenylation profiles in triple-negative breast cancers

Alternative cleavage and polyadenylation of genes associated with protein turnover and mitochondrial function are deregulated in Parkinson’s, Alzheimer’s and ALS disease

HPV shapes tumor transcriptome by globally modifying the pool of RNA binding protein-binding motif

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Comprehensive Analysis of APA Events and Their Association With Tumor Microenvironment in Lung Adenocarcinoma

Implications of Poly(A) Tail Processing in Repeat Expansion Diseases

Comprehensive analysis of a novel RNA modifications-related model in the prognostic characterization, immune landscape and drug therapy of bladder cancer

PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq data

bioRxiv : the preprint server for biology


Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting (TIFS Accepted).

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Homophily-oriented Heterogeneous Graph Rewiring

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Efficient Heterogeneous Graph Learning via Random Projection

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials


QTL-seq pipeline to identify causative mutations responsible for a phenotype

Discovery of stripe rust resistance with incomplete dominance in wild emmer wheat using bulked segregant analysis sequencing

High-performance pipeline for MutMap and QTL-seq

Development of SNP Markers for White Immature Fruit Skin Color in Cucumber (Cucumis sativus L.) Using QTL-seq and Marker Analyses

QTL-seq Identifies Pokkali-Derived QTLs and Candidate Genes for Salt Tolerance at Seedling Stage in Rice (Oryza sativa L.)


From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization

Prompt-driven Target Speech Diarization

DiaCorrect: Error Correction Back-end For Speaker Diarization


Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition"

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

Spiking Neural Networks for Visual Place Recognition Via Weighted Neuronal Assignments

Applications of Spiking Neural Networks in Visual Place Recognition


PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Feature Expansion for Graph Neural Networks

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation


Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping

CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks

HrSegNet : Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation


[CVPR 2023] Label-Free Liver Tumor Segmentation

Label-Free Liver Tumor Segmentation

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis

Synthetic Tumors Make AI Segment Tumors Better

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking


LAION-5B: An open large-scale dataset for training next generation image-text models

Red-Teaming the Stable Diffusion Safety Filter

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter

LLMs for Cyber Security: New Opportunities

Generative AI and US Intellectual Property Law

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images


Causal Discovery from Nonstationary/Heterogeneous Data.

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour

Castor: Causal Temporal Regime Structure Learning


CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

Optimizing Dense Retrieval Model Training with Hard Negatives

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval


Largest list of Arabic stop words on Github. أكبر قائمة لمستبعدات الفهرسة العربية على جيت هاب

Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm

Computational intelligence and neuroscience

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Applied intelligence (Dordrecht, Netherlands)

OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach

Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches

Kawarith: an Arabic Twitter Corpus for Crisis Events

Workshop on Arabic Natural Language Processing

Discovering Urban Governance Parameters for Online Learning in Saudi Arabia During COVID-19 Using Topic Modeling of Twitter Data

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification