Research code for "Training Vision-Language Transformers from Captions Alone"

Masked Autoencoders Are Scalable Vision Learners

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision


CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI

CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI

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


Non-distributional linguistic word vector representations.

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Non-distributional Word Vector Representations

Semantic Data Set Construction from Human Clustering and Spatial Arrangement

International Conference on Computational Logic


Adversarial examples for Seq2Seq model in NLP

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

Towards a Robust Deep Neural Network in Texts: A Survey

TransFool: An Adversarial Attack against Neural Machine Translation Models


MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Multi-modal Contrastive Representation Learning for Entity Alignment

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


This is the second version of the practices for the rookies of BJTUNLPers.

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

Convolutional Neural Networks for Sentence Classification

Neural Architectures for Named Entity Recognition

Enhanced LSTM for Natural Language Inference

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


An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Diffusion-Convolutional Neural Networks

Shift Aggregate Extract Networks

State of the Art and Potentialities of Graph-level Learning

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


PyTorch implementation of MulMON

Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints


Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Learning features for offline handwritten signature verification using deep convolutional neural networks

Fixed-sized representation learning from offline handwritten signatures of different sizes

International Journal on Document Analysis and Recognition (IJDAR)

A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification


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

Visually Grounded Reasoning across Languages and Cultures

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

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

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

The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models

Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding

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

Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input

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


Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar

Reliable Off-Policy Learning for Dosage Combinations

A Survey of Deep Causal Models and Their Industrial Applications


Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning

Physics-constrained robust learning of open-form partial differential equations from limited and noisy data

DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression


E3Outlier: Effective End-to-end Unsupervised Outlier Detection

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

E3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection

IEEE transactions on pattern analysis and machine intelligence

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation

Latent feature reconstruction for unsupervised anomaly detection


CPU/GPU/TPU implementation of the Inception Score

Improved Techniques for Training GANs

Content-Aware GAN Compression

Measuring the Transferability of Adversarial Examples

Generative Models with Information-Theoretic Protection Against Membership Inference Attacks


Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

Speaker-Aware Discourse Parsing on Multi-Party Dialogues

International Conference on Computational Linguistics

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing

Findings of the Association for Computational Linguistics: EMNLP 2023


Privacy-Preserving Electronic Ticket Scheme with Attribute-Based Credentials

An Interoperable Architecture for Usable Password-Less Authentication

Technical Report on a Virtual CTAP2 WebAuthn Authenticator


Analyze the dynamic stability of SGD

How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective

On Convergence of Training Loss Without Reaching Stationary Points.


Open-Source PSCAD Grid-Following and Grid-Forming Inverters and A Benchmark for Zero-Inertia Power System Simulations

2021 IEEE Kansas Power and Energy Conference (KPEC)

Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation

Interactive Power to Frequency Dynamics Between Grid-Forming Inverters and Synchronous Generators in Power Electronics-Dominated Power Systems

Droop-e: Exponential Droop as a Function of Power Output for Grid-Forming Inverters with Autonomous Power Sharing


mSimCSE: Multilingual SimCSE

SimCSE: Simple Contrastive Learning of Sentence Embeddings

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment


RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models


xtractomactic using rerddap

Identifying Important Juvenile Dusky Shark Habitat in the Northwest Atlantic Ocean Using Acoustic Telemetry and Spatial Modeling

Seasonal Movements and Habitat Use of Juvenile Smooth Hammerhead Sharks in the Western North Atlantic Ocean and Significance for Management

Body Composition of Common Bottlenose Dolphins in Sarasota Bay, Florida

Sharks associated with a large sand shoal complex: Community insights from longline and acoustic telemetry surveys


Correlation Networks for Extreme Multi-label Text Classification

MATCH: Metadata-Aware Text Classification in A Large Hierarchy

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study


Preserving Fairness Generalization in Deepfake Detection

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

Compact Graph Structure Learning via Mutual Information Compression

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

A Comparative Study on Robust Graph Neural Networks to Structural Noises

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks


A pipeline for isoseq

A global survey of alternative splicing in allopolyploid cotton: landscape, complexity and regulation.

Maternal effects shape the alternative splicing of parental alleles in reciprocal cross hybrids of Megalobrama amblycephala x Culter alburnus

Unveiling the Complexity of Red Clover (Trifolium pratense L.) Transcriptome and Transcriptional Regulation of Isoflavonoid Biosynthesis Using Integrated Long- and Short-Read RNAseq

International journal of molecular sciences


A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.

The EUPPBench postprocessing benchmark dataset v1.0

The EUPPBench postprocessing benchmark


Attentional Learning of Trash Classification

Recycling Waste Classification Using Vision Transformer on Portable Device


Global Carbon Budget Data Package


Analysis tools for PhIP-seq experiments

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

medRxiv : the preprint server for health sciences

Autoantigen discovery with a synthetic human peptidome

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

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

Antibody epitope profiling of the KSHV LANA protein using VirScan

Viral Epitope Scanning Reveals Correlation between Seasonal HCoVs and SARS-CoV-2 Antibody Responses among Cancer and Non-Cancer Patients

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


Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

National Conference on Artificial Intelligence

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal


Basic Epidemic, Activity, and Response COVID-19 model

Effect of non-pharmaceutical interventions to contain COVID-19 in China

Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China

Uncovering two phases of early intercontinental COVID-19 transmission dynamics

Optimizing the detection of emerging infections using mobility-based spatial sampling


TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

Party Prediction for Twitter


Fastened CROWN: Tightened Neural Network Robustness Certificates

Efficient Neural Network Robustness Certification with General Activation Functions

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

POPQORN: Quantifying Robustness of Recurrent Neural Networks


[ECCV-2024] DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition

GET: Group Event Transformer for Event-Based Vision

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket


Cyclic-permutation invariant networks for classifying periodic time-series

Classification of periodic variable stars with novel cyclic-permutation invariant neural networks

Monthly notices of the Royal Astronomical Society


IDR

Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts

YAP/TAZ drives cell proliferation and tumour growth via a polyamine-eIF5A hypusination-LSD1 axis

Readout of histone methylation by Trim24 locally restricts chromatin opening by p53

Machine learning sequence prioritization for cell type-specific enhancer design

AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identification

Protocol for assay of transposase accessible chromatin sequencing in non-model species


DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)

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

Transformer models: an introduction and catalog

Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks


NovelD: A Simple yet Effective Exploration Criterion

BeBold: Exploration Beyond the Boundary of Explored Regions

Exploration via Elliptical Episodic Bonuses

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward


Multivariate functional reconstruction using finite fields and dataflow graphs.

FiniteFlow: multivariate functional reconstruction using finite fields and dataflow graphs

AMFlow: A Mathematica package for Feynman integrals computation via auxiliary mass flow

Macaulay matrix for Feynman integrals: linear relations and intersection numbers

Restrictions of Pfaffian systems for Feynman integrals

FiniteFieldSolve: Exactly solving large linear systems in high-energy theory


PatchAttack (ECCV 2020)

Adversarial Patch

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks


Backdoor Defense via Decoupling the Training Process

Backdoor Defense via Deconfounded Representation Learning

Beating Backdoor Attack at Its Own Game

Progressive Poisoned Data Isolation for Training-time Backdoor Defense


AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

Neural Graph Embedding Methods for Natural Language Processing

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs


Brook90 coded in R

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

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

Zenodo (CERN European Organization for Nuclear Research)


An integration of JoernTI's CodeTIDAL5 neural type inference model.

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Learning Type Inference for Enhanced Dataflow Analysis


A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Data Augmentation for Graph Neural Networks

Bayesian graph convolutional neural networks for semi-supervised classification

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings


lightspeed matlab toolbox

A Low-Complexity Equalizer for Massive MIMO Systems Based on Array Separability

Bounding the Plausibility of Physical Theories in a Device-Independent Setting via Hypothesis Testing

Density functional theory method for twisted geometries with application to torsional deformations in group-IV nanotubes

Low-complexity separable beamformers for massive antenna array systems

Random-batch method for multi-species stochastic interacting particle systems

Device-independent certification of desirable properties with a confidence interval


DenseCL + regionCL-D

Momentum Contrast for Unsupervised Visual Representation Learning

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Improved Baselines with Momentum Contrastive Learning

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?


Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"

Efficient fair PCA for fair representation learning

Distributionally Robust Fair Principal Components via Geodesic Descents


Semantic parsers based on encoder-decoder framework

Meta-Learning to Compositionally Generalize

Learning to Synthesize Data for Semantic Parsing

Structured Reordering for Modeling Latent Alignments in Sequence Transduction

Learning from Executions for Semantic Parsing


Spacecraft Pose Estimation: Robust 2D and 3D-Structural Losses and Unsupervised Domain Adaptation by Inter-Model Consensus

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination

Spacecraft Pose Estimation: Robust 2-D and 3-D Structural Losses and Unsupervised Domain Adaptation by Intermodel Consensus

IEEE Transactions on Aerospace and Electronic Systems


90%+ with 40 labels. please see the readme for details.

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Clustering by Maximizing Mutual Information Across Views

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance


FlexCFL: A clustered federated learning framework based on TF2.0.  Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.

Multi-center federated learning: clients clustering for better personalization

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering


Corpus tiếng việt

PhoBERT: Pre-trained language models for Vietnamese

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models

Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization

Investigating Monolingual and Multilingual BERT Models for Vietnamese Aspect Category Detection

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites

VSEC: Transformer-based Model for Vietnamese Spelling Correction

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese


Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Feature Generating Networks for Zero-Shot Learning

A Review of Generalized Zero-Shot Learning Methods


An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

Content-Aware GAN Compression

Hierarchical Sliced Wasserstein Distance

Amortized Projection Optimization for Sliced Wasserstein Generative Models

Backpropagating through Fréchet Inception Distance

Overcoming Mode Collapse with Adaptive Multi Adversarial Training

Markovian Sliced Wasserstein Distances: Beyond Independent Projections


Python code of Hilbert-Schmidt Independence Criterion

Causal Identification with Additive Noise Models: Quantifying the Effect of Noise

The Effect of Noise Level on Causal Identification with Additive Noise Models

The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models

Communications in computer and information science


Knowledge Graph Reasoning with Relational Digraph. WebConf 2022

Inductive Relation Prediction by Subgraph Reasoning

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment


Reinforcement Learning via Latent State Decoding

Provably efficient RL with Rich Observations via Latent State Decoding

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning


CareGPT (关怀GPT)是一个医疗大语言模型，同时它集合了数十个公开可用的医疗微调数据集和开放可用的医疗大语言模型，包含LLM的训练、测评、部署等以促进医疗LLM快速发展。Medical LLM, Open Source Driven for a Healthy Future.

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Evaluating Hallucinations in Chinese Large Language Models

Large Language Models for Medicine: A Survey

Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges


Data-driven discovery of coordinates and governing equations

Interpretable Scientific Discovery with Symbolic Regression: A Review

Latent Space Symmetry Discovery

Certified data-driven physics-informed greedy auto-encoder simulator


Continuum Learning with GEM:  Gradient Episodic Memory

Gradient Episodic Memory for Continual Learning

End-to-End Incremental Learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

Graph-Based Continual Learning

Distill and Replay for Continual Language Learning

Gated Information Bottleneck for Generalization in Sequential Environments

Algorithmic insights on continual learning from fruit flies

Continual Invariant Risk Minimization

Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation


The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

BRITS: Bidirectional Recurrent Imputation for Time Series

Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks

GP-VAE: Deep Probabilistic Time Series Imputation

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

Deep Learning for Multivariate Time Series Imputation: A Survey

Graph-based Virtual Sensing from Sparse and Partial Multivariate
  Observations

TSI-Bench: Benchmarking Time Series Imputation

An End-to-End Time Series Model for Simultaneous Imputation and Forecast

Foundational Inference Models for Dynamical Systems


A prediction model for differential gene expression (DE) based on genome-wide regulatory interactions

Predicting effective microRNA target sites in mammalian mRNAs

GTRD: a database on gene transcription regulation—2019 update

POSTAR2: deciphering the post-transcriptional regulatory logics

Deep learning decodes the principles of differential gene expression


MAGIC: Multi-scAle heteroGeneity analysIs and Clustering

Multi-scale semi-supervised clustering of brain images: deriving disease subtypes

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning


Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms', ECIR'18

Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

The Use of a Large Language Model for Cyberbullying Detection

Generalisation of Cyberbullying Detection


Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Auto-Encoding Variational Bayes

Neural Discrete Representation Learning

Pixel Recurrent Neural Networks

Conditional Image Generation with PixelCNN Decoders

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Conditional Neural Processes

PixelSNAIL: An Improved Autoregressive Generative Model


Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://github.com/Verified-Intelligence/auto_LiRPA instead)

Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

Verification for Machine Learning, Autonomy, and Neural Networks Survey

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications


Simple gym environments for safety in Reinforcement Learning Research

Constrained Policy Optimization

A Lyapunov-based Approach to Safe Reinforcement Learning

Lyapunov-based Safe Policy Optimization for Continuous Control

Lexicographic Multi-Objective Reinforcement Learning

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence


Dataset & Code for Com2Sense Benchmark

SemEval-2020 Task 4: Commonsense Validation and Explanation

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback


[ICCV 2021 Oral] Deep Evidential Action Recognition

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition


Equivariant Imaging (EI), ICCV'2021 Oral

Equivariant Imaging: Learning Beyond the Range Space

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems

Invertible Diffusion Models for Compressed Sensing


Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Continuous control with deep reinforcement learning

Hindsight Experience Replay

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020

Fast Underwater Image Enhancement for Improved Visual Perception

DGD-cGAN: A Dual Generator for Image Dewatering and Restoration

A Generative Approach for Detection-driven Underwater Image Enhancement


Kippenhahn plotter for MESA

Structure and evolution of a tidally heated star

Seismic Signatures of the 12C(α, γ)16O Reaction Rate in White Dwarf Models with Overshooting

Light axion emission and the formation of merging binary black holes

Merger seismology: Distinguishing massive merger products from genuine single stars using asteroseismology


Cost-efficient genome-wide gene expression profiling

Evolutionary Consequences of DNA Methylation in a Basal Metazoan

Functional genomic analysis of corals from natural CO2-seeps reveals core molecular responses involved in acclimatization to ocean acidification

Molecular characterization of larval development from fertilization to metamorphosis in a reef-building coral

Magnitude and Predictability of pH Fluctuations Shape Plastic Responses to Ocean Acidification

Genetic patterns in Montipora capitata across an environmental mosaic in Kāne'ohe Bay, O'ahu, Hawai'i.

Resilience of Atlantic Slippersnail Crepidula fornicata Larvae in the Face of Severe Coastal Acidification

Decoupling behavioral and transcriptional responses to color in an eyeless cnidarian

The role of gene expression and symbiosis in reef-building coral acquired heat tolerance

Blood and brain gene expression signatures of chronic intermittent ethanol consumption in mice

Ocean Warming Leads to Increases in Aerobic Demand and Changes to Gene Expression in the Pinfish (Lagodon rhomboides)


PSI-Sigma

Recurrent SRSF2 mutations in MDS affect both splicing and NMD

PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis

CsTT8 regulates anthocyanin accumulation in blood orange through alternative splicing transcription


Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems


Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Attention Is All You Need

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

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection


A Python implementation of the BM25 ranking function.

Multilingual Universal Sentence Encoder for Semantic Retrieval

ReQA: An Evaluation for End-to-End Answer Retrieval Models

Empirical Methods in Natural Language Processing

Building an intelligent system for answering specialized questions about COVID-19


Labeled data for homograph disambiguation

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation

Multilingual context-based pronunciation learning for Text-to-Speech


ZGA prokaryotic genome assembly and annotation pipeline

fastp: an ultra-fast all-in-one FASTQ preprocessor

Minimap2: pairwise alignment for nucleotide sequences

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

Assembly of long, error-prone reads using repeat graphs

Mash: fast genome and metagenome distance estimation using MinHash

BBMerge – Accurate paired shotgun read merging via overlap

NxTrim: optimized trimming of Illumina mate pair reads

A dataset of four probiotic Bifidobacterium strains genome assemblies

ZGA: a flexible pipeline for read processing, de novo assembly and annotation of prokaryotic genomes


Autoencoders in PyTorch

Tutorial on Variational Autoencoders

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Machine learning in solar physics


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

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713

A Survey of Knowledge-enhanced Text Generation

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems

Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue

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

Learning to Memorize in Neural Task-Oriented Dialogue Systems


Nearest Neighbor Kernel Conditional Density Estimation

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics


PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).

Induction Networks for Few-Shot Text Classification

Few-shot Text Classification with Distributional Signatures


Official repository of the ben-ge Earth Observation dataset

Ben-ge: Extending BigEarthNet with Geographical and Environmental Data


#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720

Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature

Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2018

Validating Segmentation of the Zebrafish Vasculature

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2019

Segmentation of the Zebrafish Brain Vasculature from Light Sheet Fluorescence Microscopy Datasets

3D quantification of zebrafish cerebrovascular architecture by automated image analysis of light sheet fluorescence microscopy datasets


Creative Commons Attribution 4.0 International

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Language Models are Multilingual Chain-of-Thought Reasoners

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation


[ECCV 2022] Official code for "Learning Object Placement via Dual-path Graph Completion"

Context-Aware Synthesis and Placement of Object Instances

OPA: Object Placement Assessment Dataset


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

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

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

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

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

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

LeanVec: Searching vectors faster by making them fit


Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Combating Fake News: A Survey on Identification and Mitigation Techniques

A Survey on Natural Language Processing for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Combating Disinformation in a Social Media Age


Hierarchical Neural Relation Extraction

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

A Question-answering Based Framework for Relation Extraction Validation

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


:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation

Learning-Based Defect Recognitions for Autonomous UAV Inspections

Deep Learning-Based Superpixel Texture Analysis for Crack Detection in Multi-Modal Infrastructure Images


Entity resolution using zero labeled examples

ZeroER: Entity Resolution using Zero Labeled Examples

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Ground Truth Inference for Weakly Supervised Entity Matching

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms


Python based multi-component SED fitting package

A panchromatic view of infrared quasars: excess star formation and radio emission in the most heavily obscured systems

The demographics of obscured AGN from X-ray spectroscopy guided by multiwavelength information

The star formation properties of the observed and simulated AGN Universe: BAT versus EAGLE

Obscuration beyond the nucleus: infrared quasars can be buried in extreme compact starbursts


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

Satellite imaging reveals increased proportion of population exposed to floods


Code for Adversarial Example Games NeurIPS 2020 Paper

Adversarial Example Games

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets


Model-agnostic posthoc calibration without distributional assumptions

On Calibration of Modern Neural Networks

Distribution-free binary classification: prediction sets, confidence intervals and calibration

Distribution-free calibration guarantees for histogram binning without sample splitting

Top-label calibration and multiclass-to-binary reductions

Online Platt Scaling with Calibeating


[T-PAMI'22] [Jittor & Pytorch] Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization

Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


Visualizing the structure of planning problems using local-minima trees

Multilevel motion planning: A fiber bundle formulation

Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree

Section Patterns: Efficiently Solving Narrow Passage Problems in Multilevel Motion Planning

Visualizing Local Minima in Multi-Robot Motion Planning using Multilevel Morse Theory


Evaluation Measures for the BioASQ project

BioMegatron: Larger Biomedical Domain Language Model

Sequence tagging for biomedical extractive question answering

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.

Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic

Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction


This folder contains the source codes and data for the metallic glass paper

Determining the three-dimensional atomic structure of an amorphous solid


Revisiting Self-Supervised Visual Representation Learning

A Survey of Deep Learning for Scientific Discovery

Automatic Shortcut Removal for Self-Supervised Representation Learning


CROWN: A Neural Network Verification Framework for Networks with General Activation Functions

Intriguing properties of neural networks

Certified Adversarial Robustness via Randomized Smoothing

Efficient Neural Network Robustness Certification with General Activation Functions

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


Entity Abstraction in Visual Model-Based Reinforcement Learning

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

GATSBI: Generative Agent-centric Spatio-temporal Object Interaction


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

Revisiting Link Prediction: A Data Perspective


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


Adaptive Nearest Neighbor Machine Translation

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation


webshell sample for WebShell Log Analysis

WebShell Attack Detection Based on a Deep Super Learner

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)

BERT-Embedding-Based JSP Webshell Detection on Bytecode Level Using XGBoost


Python package for combining diarization system outputs.

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

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

DOVER: A Method for Combining Diarization Outputs

Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem

PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System


Official PyTorch Implementation of ADKF-IFT from Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction (ICLR 2023)

Strategies for Pre-training Graph Neural Networks

Molecule Attention Transformer

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


A Python package for learning, evaluating, annotating, and extracting vector representations of construction grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Finding variants for construction-based dialectometry: A corpus-based approach to regional CxGs

Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

Multi-unit association measures

Exposure and emergence in usage-based grammar: computational experiments in 35 languages

Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction

Exploring the Constructicon: Linguistic Analysis of a Computational CxG

Syntactic Variation Across the Grammar: Modelling a Complex Adaptive System


FGVCx Fungi Classfiication competition details

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

Danish Fungi 2020 – Not Just Another Image Recognition Dataset

Meta-Learning for Few-Shot Plant Disease Detection

TinyTrain: Deep Neural Network Training at the Extreme Edge

MetaKernel: Learning Variational Random Features With Limited Labels

Confusable Learning for Large-class Few-Shot Classification

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling


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

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

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

Pyramid Feature Attention Network for Saliency detection


NABERT model for solving the DROP dataset

Neural Module Networks for Reasoning over Text

A Simple and Effective Model for Answering Multi-span Questions

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

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

Tag-based Multi-Span Extraction in Reading Comprehension.

Benefits of Intermediate Annotations in Reading Comprehension

Meeting of the Association for Computational Linguistics

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning

Activity report analysis with automatic single or multispan answer extraction


An artificial neural network framework for emotion expression recognition which self-regulates the interplay between generalized and personalized emotion perception

The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition

IEEE International Conference on Automatic Face & Gesture Recognition

A Deep Neural Model Of Emotion Appraisal

The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge


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


MoCo with Alignment and Uniformity Loss.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

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

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning


Massively parallel hybrid particle-field molecular dynamics (hPF-MD) simulation method in Julia

Hybrid particle‐field molecular dynamics simulations: Parallelization and benchmarks

Combination of Hybrid Particle-Field Molecular Dynamics and Slip-Springs for the Efficient Simulation of Coarse-Grained Polymer Models: Static and Dynamic Properties of Polystyrene Melts

Journal of chemical theory and computation

Atomistic hybrid particle‐field molecular dynamics combined with slip‐springs: Restoring entangled dynamics to simulations of polymer melts

Hamiltonian and Alias-Free Hybrid Particle-Field Molecular Dynamics


A Malware classifier dataset built with header fields’ values of Portable Executable files

A learning model to detect maliciousness of portable executable using integrated feature set

Journal of King Saud University: Computer and Information Sciences

Knowledge-Based Dataset for Training PE Malware Detection Models

Classification of malware based on file content and characteristics

Semantic Data Representation for Explainable Windows Malware Detection
  Models


DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues

Proceedings of the 14th International Conference on Natural Language Generation

From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

DialogSum Challenge: Results of the Dialogue Summarization Shared Task

Who Needs External References?—Text Summarization Evaluation Using Original Documents

Fact-driven Logical Reasoning for Machine Reading Comprehension


SOMatic is a tool for building Self-Organizing Maps and linking multiple maps.

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self-Organizing Maps

Computational methods for the integrative analysis of single-cell data

Deep Learning in Single-Cell Analysis

Uncovering the mesendoderm gene regulatory network through multi-omic data integration


The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

Are Few-shot Learning Benchmarks Too Simple ?

Uniform Sampling over Episode Difficulty

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization


FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"

On the Similarity between the Laplace and Neural Tangent Kernels

Learning to predict target location with turbulent odor plumes

Speeding-up Object Detection Training for Robotics with FALKON


EgoTV Egocentric Task Verification from Natural Language Task Descriptions

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

AI2-THOR: An Interactive 3D Environment for Visual AI

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

EgoTV: Egocentric Task Verification from Natural Language Task Descriptions


Entropy production rate is maximized in non-contractile actomyosin

In Situ Fabrication of Constraints for Multicellular Micro‐Spheroids Using Two‐Photon Lithography

Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration

Microarchitected Compliant Scaffolds of Pyrolytic Carbon for 3D Muscle Cell Growth

Two‐Photon Laser Printing to Mechanically Stimulate Multicellular Systems in 3D


PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

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

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters


Turbospectrum Spectral Fitting with Python (TSFitPy)

Spectacular Nucleosynthesis from Early Massive Stars

The GALAH survey: tracing the Milky Way's formation and evolution through RR Lyrae stars

Monthly notices of the Royal Astronomical Society

Observational constraints on the origin of the elements. VIII. Constraining the Barium, Strontium and Yttrium chemical evolution in metal-poor stars


An Automatic DNN TrainingProblem Detection and Repair System

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

Repairing DNN Architecture: Are We There Yet?

An Effective Data-Driven Approach for Localizing Deep Learning Faults


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

It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations

A Study of Morphological Robustness of Neural Machine Translation

Special Interest Group on Computational Morphology and Phonology Workshop


Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)

Lipschitz-constrained Unsupervised Skill Discovery

Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning


Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks

MedICaT: A Dataset of Medical Images, Captions, and Textual References

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

A New Generative Model for Textual Descriptions of Medical Images Using Transformers Enhanced with Convolutional Neural Networks


Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensignificant advances through the application of machine learningtechniques, especially deep neural networks. Unfortunately, to-datemany of the proposed methods are evaluated on different (data,software/hardware, hyperparameter) setups and consequently it isnearly impossible to compare the efficacy of the available methodsor reproduce results presented in original research manuscripts.In this paper, we propose a causal inference toolbox (CauseBox)that addresses the aforementioned problems. At the time of thewriting, the toolbox includes seven state of the art causal inferencemethods and two benchmark datasets. By providing convenientcommand-line and GUI-based interfaces, theCauseBoxtoolboxhelps researchers fairly compare the state of the art methods intheir chosen application context against benchmark datasets.

Evaluation Methods and Measures for Causal Learning Algorithms

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective

CauseBox: A Causal Inference Toolbox for Benchmarking Treatment Effect Estimators with Machine Learning Methods

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


Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration


DNA序列比对结果 可视化展示工具

The complete and fully-phased diploid genome of a male Han Chinese

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

Evaluation of Intracellular Gene Transfers from Plastome to Nuclear Genome across Progressively Improved Assemblies for Arabidopsis thaliana and Oryza sativa


This repository contains examples of Flush+Flush cache attacks

WHISPER: A Tool for Run-Time Detection of Side-Channel Attacks

A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks

RT-Sniper: A Low-Overhead Defense Mechanism Pinpointing Cache Side-Channel Attacks


A neural network emulator to transform field data

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

Field Level Neural Network Emulator for Cosmological N-body Simulations

AI-assisted superresolution cosmological simulations - II. Halo substructures, velocities, and higher order statistics

Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Super-resolving Dark Matter Halos using Generative Deep Learning

Field-level Emulation of Cosmic Structure Formation with Cosmology and
  Redshift Dependence

Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators

COmoving Computer Acceleration (COCA): N-body simulations in an emulated frame of reference


Page to PAGE Layout Analysis Tool

Multi-Task Handwritten Document Layout Analysis

An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers

Evaluation of a Region Proposal Architecture for Multi-task Document Layout Analysis

Digital Editions as Distant Supervision for Layout Analysis of Printed Books


This repository contains the VLEngagement dataset and the helper functions/ tools required to work with the dataset.

Predicting Engagement in Video Lectures

Towards an Integrative Educational Recommender for Lifelong Learners

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement


Preferential Subspace Identification Algorithm

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)

Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior

bioRxiv : the preprint server for biology


Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

NPLDA: A Deep Neural PLDA Model for Speaker Verification

The Speaker and Language Recognition Workshop (Odyssey 2020)

Pairwise Discriminative Neural PLDA for Speaker Verification

LEAP System for SRE19 CTS Challenge -- Improvements and Error Analysis


A PyTorch Library for Multi-Task Learning

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning

LibMTL: A Python Library for Multi-Task Learning

Dual-Balancing for Multi-Task Learning

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras


Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics

Synthetic ground motions in heterogeneous geologies from various sources: the HEMEWS-3D database


Programs for analysis and visualization of oceanographic HF radar data

The Global High Frequency Radar Network

Best Practices on High Frequency Radar Deployment and Operation for Ocean Current Measurement

Sensitivity of Skill Score Metric to Validate Lagrangian Simulations in Coastal Areas: Recommendations for Search and Rescue Applications

Integration of HF Radar Observations for an Enhanced Coastal Mean Dynamic Topography

Variational interpolation of high-frequency radar surface currents using DIVAnd


TE tools for TE RNASeq and smallRNASeq analysis with galaxy

TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes

Expression of the Retrotransposon Helena Reveals a Complex Pattern of TE Deregulation in Drosophila Hybrids

High Stability of the Epigenome in Drosophila Interspecific Hybrids.


A package for hadron resonance gas model applications (current version: 1.4.2)

Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state

Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

Finite resonance widths influence the thermal-model description of hadron yields

Kinetic freeze-out temperature from yields of short-lived resonances

Hadron yields and fluctuations at energies available at the CERN Super Proton Synchrotron: System-size dependence from Pb + Pb to p+p collisions

Monte Carlo approach to the excluded-volume hadron resonance gas in grand canonical and canonical ensembles

Light nuclei in the hadron resonance gas

International Journal of Modern Physics E

Estimation of the freeze-out parameters reachable in a fixed-target experiment at the CERN Large Hadron Collider

Statistical hadron-gas treatment of systems created in proton-proton interactions at energies available at the CERN Super Proton Synchrotron

Puzzles in statistical hadron-gas treatment of systems created in proton-proton interactions at CERN SPS.


Simple implementation of conditional general adverse nets in pytorch machine learning framework

Conditional Generative Adversarial Nets

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art


Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python

Measurement of anomalous diffusion using recurrent neural networks.

Machine learning classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis

Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

Universal exploration dynamics of random walks

A direct method to detect deterministic and stochastic properties of data

Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood

Wavelet Image Restoration Using Multifractal Priors


[NeurIPS DBT 2021] HPO-B

HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML

PFNs4BO: In-Context Learning for Bayesian Optimization

Deep Ranking Ensembles for Hyperparameter Optimization

Reinforced In-Context Black-Box Optimization


Brief Python implementation of Most Permissive Boolean Networks

Reconciling Qualitative, Abstract, and Scalable Modeling of Biological Networks

Most Permissive Semantics of Boolean Networks

Trap spaces of Boolean networks are conflict-free siphons of their Petri net encoding

mpbn: a simple tool for efficient edition and analysis of elementary
  properties of Boolean networks


SemEval-2021 Task 8: MeasEval data and other bits

SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022

impact of sample selection on in-context learning for entity extraction from scientific writing

Findings of the Association for Computational Linguistics: EMNLP 2023

KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations

Meeting of the Association for Computational Linguistics

Mining experimental data from Materials Science literature with Large Language Models

What's in a Measurement? Using GPT-3 on SemEval 2021 Task 8 -- MeasEval


Overcooked human-AI experiment platform

Collaborating with Humans without Human Data

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners


Cross-lingual Dependency Parsing Based on Distributed Representations

A Survey Of Cross-lingual Word Embedding Models

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

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

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.


Implementation of the variational continual learning method

Variational Continual Learning

Using Hindsight to Anchor Past Knowledge in Continual Learning

Improving and Understanding Variational Continual Learning

Overcoming Catastrophic Forgetting by Generative Regularization

FoCL: Feature-Oriented Continual Learning for Generative Models

Continual Invariant Risk Minimization


Artificial Benchmark for Community Detection (ABCD) - A Fast Random Graph Model with Community Structure

Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure

Modularity of the ABCD Random Graph Model with Community Structure

Evaluating Node Embeddings of Complex Networks

Hypergraph Artificial Benchmark for Community Detection (h-ABCD)

Properties and Performance of the ABCDe Random Graph Model with Community Structure

A multi-purposed unsupervised framework for comparing embeddings of undirected and directed graphs

Artificial Benchmark for Community Detection with Outliers (ABCD+o)

Survey of Generative Methods for Social Media Analysis

Self-similarity of Communities of the ABCD Model

Modularity Based Community Detection in Hypergraphs


VMC: a Scalable, Open Source and Free Vulnerability Management Platform

Vulnerability Management Models Using a Common Vulnerability Scoring System

Efficient Algorithm for Providing Live Vulnerability Assessment in Corporate Network Environment


This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Efficient GNN Explanation via Learning Removal-based Attribution


Khmer  language processing toolkit

Khmer Word Segmentation Using Conditional Random Fields

Multilingual Open Text Release 1: Public Domain News in 44 Languages

ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System


Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.

Faster unfolding of communities: Speeding up the Louvain algorithm

Physical review. E, Statistical, nonlinear, and soft matter physics

Targeted pharmacological therapy restores β-cell function for diabetes remission

Detecting communities using asymptotical surprise

Post-Processing Partitions to Identify Domains of Modularity Optimization

Compressing Networks with Super Nodes

HiDeF: identifying persistent structures in multiscale ‘omics data

T cells modulate the microglial response to brain ischemia

A transcriptional cross species map of pancreatic islet cells

Human alpha cell transcriptomic signatures of types 1 and 2 diabetes highlight disease-specific dysfunction pathways

Comparative analysis of model assessment in community detection.


Latin BERT

Named Entity Recognition and Classification in Historical Documents: A Survey

Latin BERT: A Contextual Language Model for Classical Philology

Time Masking for Temporal Language Models

Temporal Attention for Language Models

Can Word Sense Distribution Detect Semantic Changes of Words?


Remote Sensing Tools for Forest Monitoring

Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach


Norwegian Review Corpus

skweak: Weak Supervision Made Easy for NLP

NoReC: The Norwegian Review Corpus

LREC - NoReC: The Norwegian Review Corpus


R Wrapper for the Energy Information Administration (EIA) API


Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).

Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length

IEEE International Conference on Acoustics, Speech, and Signal Processing

A differentiable short-time Fourier transform with respect to the window length

Differentiable short-time Fourier transform with respect to the hop length


This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition


Create WRF-Chem emission file from your local emissions disaggregated in space and time.


State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Time-Contrastive Networks: Self-Supervised Learning from Video

State Representation Learning for Control: An Overview

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

DisCoRL: Continual Reinforcement Learning via Policy Distillation

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes


Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

x-vectors meet emotions: A study on dependencies between emotion and speaker recognition

CopyPaste: An Augmentation Method for Speech Emotion Recognition

Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition

The VoicePrivacy 2024 Challenge Evaluation Plan

EMOLIPS: Towards Reliable Emotional Speech Lip-Reading

ReconBoost: Boosting Can Achieve Modality Reconcilement

Affective social anthropomorphic intelligent system


[ICDE'20] ⚖ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble

IEEE journal of biomedical and health informatics

GTF: An Adaptive Network Anomaly Detection Method at the Network Edge

Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.


Dfam Transposable Element Tools Docker container.

RepeatModeler2: automated genomic discovery of transposable element families

Giant lungfish genome elucidates the conquest of land by vertebrates

Genetic Diversity in Invasive Populations of Argentine Stem Weevil Associated with Adaptation to Biocontrol

The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light‐use efficiency

The Plant journal : for cell and molecular biology

The compact genome of the sponge Oopsacas minuta (Hexactinellida) is lacking key metazoan core genes

Genome assembly of the Australian black tiger shrimp (Penaeus monodon) reveals a novel fragmented IHHNV EVE sequence

Obligate sexual reproduction of a homothallic fungus closely related to the Cryptococcus pathogenic species complex

Activation of DNA Transposons and Evolution of piRNA Genes Through Interspecific Hybridization in Xenopus Frogs

Cost-effective long-read assembly of a hybrid Formica aquilonia × Formica polyctena wood ant genome from a single haploid individual

Genome assembly and isoform analysis of a highly heterozygous New Zealand fisheries species, the tarakihi (Nemadactylus macropterus)


Evaluation of the CNN design choices performance on ImageNet-2012.

Systematic evaluation of convolution neural network advances on the Imagenet

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Deep learning in electron microscopy

Machine Learning: Science and Technology

Analysis and Optimization of Convolutional Neural Network Architectures

One-Way Prototypical Networks


Yet Another (natural language) Parser

Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew

Transactions of the Association for Computational Linguistics

What's Wrong with Hebrew NLP? And How to Make it Right

A Truly Joint Neural Architecture for Segmentation and Parsing


Reference-free profiling of polyploid genomes

GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes

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

Three new genome assemblies of blue mussel lineages: North and South EuropeanMytilus edulisand MediterraneanMytilus galloprovincialis

Draft Genome of White-blotched River Stingray Provides Novel Clues for Niche Adaptation and Skeleton Formation

基因组蛋白质组与生物信息学报

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

Chromosome-level Genome Assembly and Sex-specific Differential Transcriptome of the White-backed Planthopper, Sogatella furcifera

Genomics and resequencing of Fagopyrum dibotrys from different geographic regions reveals species evolution and genetic diversity


A curated list of data mining papers about fraud detection.

Heterogeneous Graph Neural Networks for Malicious Account Detection

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network

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

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection

Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration

ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising

International Conference on Information and Knowledge Management

Graphical Models for Identifying Fraud and Waste in Healthcare Claims

SIAM International Conference on Data Mining


GET_HOMOLOGUES: a versatile software package for pan-genome analysis

Analysis of Plant Pan-Genomes and Transcriptomes with GET_HOMOLOGUES-EST, a Clustering Solution for Sequences of the Same Species

Pan‐genome: A promising resource for noncoding RNA discovery in plants

Analysis of Whole-Genome Sequences of Pathogenic Gram-Positive and Gram-Negative Isolates from the Same Hospital Environment to Investigate Common Evolutionary Trends Associated with Horizontal Gene Exchange, Mutations and DNA Methylation Patterning


Tools for OPM processing using SPM

Optically pumped magnetometers: From quantum origins to multi-channel magnetoencephalography

Magnetic Field Mapping and Correction for Moving OP-MEG

Spherical harmonic based noise rejection and neuronal sampling with multi-axis OPMs

Modelling optically pumped magnetometer interference as a mean (magnetic) field


Cyrus2D base is a sample implementation of the soccer team for the RoboCup Soccer Simulation. Cyrus2D Base = HeliosBase + GlidersBase + valuable features of Cyrus team

Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023


A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

Spatial and Temporal Variability of the North Atlantic Eddy Field From Two Kilometric‐Resolution Ocean Models

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies

Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets


UT-Sarulab MOS prediction system using SSL models

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

Text-to-speech synthesis from dark data with evaluation-in-the-loop data selection

How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics

Diversity-Based Core-Set Selection for Text-to-Speech with Linguistic and Acoustic Features

BiVocoder: A Bidirectional Neural Vocoder Integrating Feature Extraction and Waveform Generation


Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Policy Dynamic Programming for Vehicle Routing Problems

Learning to Delegate for Large-scale Vehicle Routing

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

A capacitated multi-vehicle covering tour problem on a road network and its application to waste collection

Routing Arena: A Benchmark Suite for Neural Routing Solvers


GO enrichment with python -- pandas meets networkx

GOnet: a tool for interactive Gene Ontology analysis

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis


Creating multimodal multitask models

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Unsupervised Translation of Programming Languages

Pretrained Transformers as Universal Computation Engines

Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture


API Client for NASA POWER Global Meteorology, Surface Solar Energy and Climatology in R

Retrieving and processing agro-meteorological data from API-client sources using R software


Repository for the HiRID ICU Benchmark (HiB) project

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

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data

Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications


EHT Image domain analysis through template matching.

First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center Supermassive Black Hole

First Sagittarius A* Event Horizon Telescope Results. IV. Variability, Morphology, and Black Hole Mass

Variational Image Feature Extraction for the Event Horizon Telescope

Measuring the Ellipticity of M 87* Images

Observing naked singularities by the present and next-generation Event Horizon Telescope


A C++/Python simulator package for reinforcement learning

Interactive Grounded Language Acquisition and Generalization in a 2D World

Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents

Listen, Interact and Talk: Learning to Speak via Interaction

Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game


A repository for archived research code

Testing Platform-Independent Quantum Error Mitigation on Noisy Quantum Computers

Counting collisions in random circuit sampling for benchmarking quantum computers


Set of quantum chemistry programs and libraries

A Mountaineering Strategy to Excited States: Highly Accurate Reference Energies and Benchmarks

Journal of chemical theory and computation

QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

Journal of physics. Condensed matter : an Institute of Physics journal

Excited States with Selected Configuration Interaction-Quantum Monte Carlo: Chemically Accurate Excitation Energies and Geometries

A Jeziorski-Monkhorst fully uncontracted multi-reference perturbative treatment. I. Principles, second-order versions, and tests on ground state potential energy curves

Alternative definition of excitation amplitudes in multi-reference state-specific coupled cluster


You can find the website of NuPyCEE at

Neutron Star Mergers Might not be the Only Source of r-Process Elements in the Milky Way

The Impact of Modeling Assumptions in Galactic Chemical Evolution Models

Advanced LIGO Constraints on Neutron Star Mergers and r-process Sites

UNCERTAINTIES IN GALACTIC CHEMICAL EVOLUTION MODELS

Validating Semi-analytic Models of High-redshift Galaxy Formation Using Radiation Hydrodynamical Simulations

Galactic Chemical Evolution of Radioactive Isotopes

Mass and metallicity requirement in stellar models for galactic chemical evolution applications

Monthly Notices of the Royal Astronomical Society

SYGMA: Stellar Yields for Galactic Modeling Applications

The Astrophysical Journal Supplement Series

Chemical evolution of elliptical galaxies with a variable IMF

Observing the metal-poor solar neighbourhood: a comparison of galactic chemical evolution predictions*†


[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

When Do Program-of-Thoughts Work for Reasoning?

InstructIE: A Chinese Instruction-based Information Extraction Dataset

impact of sample selection on in-context learning for entity extraction from scientific writing

Findings of the Association for Computational Linguistics: EMNLP 2023


SEM2DPACK - A spectral element method for 2D wave propagation and fracture dynamics, with emphasis on computational seismology and earthquake source dynamics.

Fault strength and rupture process controlled by fault surface topography

Zenodo (CERN European Organization for Nuclear Research)

The sharp turn: backward rupture branching during the 2023 Mw 7.8 Turkey earthquake

The Earth’s surface controls the depth-dependent seismic radiation of megathrust earthquakes

Back‐Propagating Rupture: Nature, Excitation, and Implications


Bicleaner is a parallel corpus classifier/cleaner that aims at detecting noisy sentence pairs in a parallel corpus.

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

ParaCrawl: Web-scale parallel corpora for the languages of the EU

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

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

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

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Bifixer and Bicleaner: two open-source tools to clean your parallel data

European Association for Machine Translation Conferences/Workshops

NTT Neural Machine Translation Systems at WAT 2019

Empirical Methods in Natural Language Processing

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

Meeting of the Association for Computational Linguistics


MIDI / symbolic music tokenizers for Deep Learning models

Music Transformer

Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

This Time with Feeling: Learning Expressive Musical Performance

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

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

PopMAG: Pop Music Accompaniment Generation

MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

miditok: A Python package for MIDI file tokenization

Byte Pair Encoding for Symbolic Music


Training neural models with structured signals.

Explaining and Harnessing Adversarial Examples

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Graph Agreement Models for Semi-Supervised Learning

Graph-RISE: Graph-Regularized Image Semantic Embedding

Neural Clustering Processes


Retired multi-variant fork of popular UCI chess engine; please use Fairy-Stockfish instead

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Monte-Carlo Graph Search for AlphaZero

Improved Reinforcement Learning with Curriculum


A deepfake detector that provides 35 different deepfake detection methods.

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Exposing Deep Fakes Using Inconsistent Head Poses

The DeepFake Detection Challenge (DFDC) Dataset

DeepFakes: a New Threat to Face Recognition? Assessment and Detection


assemblies, annotations, further analysis on sequenced strains from the EHEC outbreak

Alignment-Free Design of Highly Discriminatory Diagnostic Primer Sets for Escherichia coli O104:H4 Outbreak Strains

Comparative Genomic Analysis of Two Novel Sporadic Shiga Toxin-Producing Escherichia coli O104:H4 Strains Isolated 2011 in Germany

Adaptive Mutations and Replacements of Virulence Traits in the Escherichia coli O104:H4 Outbreak Population


MagNet: a Two-Pronged Defense against Adversarial Examples

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples

On the Limitation of MagNet Defense against L_1-based Adversarial Examples

Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS

Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020

On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces


Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following


IJCNN 2021: Inductive Learning on Commonsense Knowledge Graph Completion (Depreciated)

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge


Module to call Mycobacterium tuberculosis lineages

Transmission and Drug Resistance Genotype of Multidrug-Resistant or Rifampicin-Resistant Mycobacterium tuberculosis in Chongqing, China

Endogenous relapse and exogenous reinfection in recurrent pulmonary tuberculosis: A retrospective study revealed by whole genome sequencing

Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly

Insight into the drug-resistant characteristics and genetic diversity of multidrug-resistant Mycobacterium tuberculosis in China

Afro-TB dataset as a large scale genomic data of Mycobacterium tuberuclosis in Africa


基于视频的目标检测算法研究 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

FlowNet: Learning Optical Flow with Convolutional Networks

Optical Flow Estimation using a Spatial Pyramid Network

Fast and Accurate Online Video Object Segmentation via Tracking Parts

Optimizing Video Object Detection via a Scale-Time Lattice


To overcome the limitation and obtain more appropriate control filters, a generative fixed-filter active noise control (GFANC) approach is proposed in this paper. Specifically, various control filters can be generated by using different hard weights to combine pre-trained sub control filters. The hard weights are automatically obtained via a one-dimensional convolutional neural network given the incoming noise.

A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning

Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks

Deep Generative Fixed-filter Active Noise Control


streaming attention networks for end-to-end automatic speech recognition

Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture

Transformer-based Online Speech Recognition with Decoder-end Adaptive Computation Steps

Head-synchronous Decoding for Transformer-based Streaming ASR


Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Causal Discovery with Attention-Based Convolutional Neural Networks

Machine Learning and Knowledge Extraction

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

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

Inductive Granger Causal Modeling for Multivariate Time Series

Entropy-Based Discovery of Summary Causal Graphs in Time Series

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery


A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses

Data Generators for Learning Systems Based on RBF Networks

IEEE transactions on neural networks and learning systems

On the Use of Random Forest for Two-Sample Testing

An update on statistical boosting in biomedicine

Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models

A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm

Targeted Random Projection for Prediction From High-Dimensional Features

Journal of the American Statistical Association

Classification for high-dimension low-sample size data

Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization

Sparse quadratic classification rules via linear dimension reduction


Single Cell RNA Intron-Exon counting

Deep learning enables genetic analysis of the human thoracic aorta

Clinico-histopathologic and single-nuclei RNA-sequencing insights into cardiac injury and microthrombi in critical COVID-19

SnRNA sequencing defines signaling by RBC-derived extracellular vesicles in the murine heart


Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

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

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

A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator


Self-Instruct: Aligning Language Models with Self-Generated Instructions

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Chinese Open Instruction Generalist: A Preliminary Release


Densely Connected Convolutional Networks

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation


MILE: A Multi-Level Framework for Scalable Graph Embedding

Understanding Coarsening for Embedding Large-Scale Graphs

A Provable Framework of Learning Graph Embeddings via Summarization

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

SMGRL: Scalable Multi-resolution Graph Representation Learning


The Australian Shark-Incident Database (ASID) for quantifying temporal and spatial patterns of shark-human conflict in Australia

Changing patterns of shark attacks in Australian waters

Global shark attack hotspots: Identifying underlying factors behind increased unprovoked shark bite incidence

Environmental predictive models for shark attacks in Australian waters

Predicting potential future reduction in shark bites on people


Geometric Deep Learning Models for Vehicle Routing Problem

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Exact Combinatorial Optimization with Graph Convolutional Neural Networks


DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

Double/debiased machine learning for treatment and structural parameters

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

International Conference on Performance Engineering


Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

Source Dependency-Aware Transformer with Supervised Self-Attention

Neural Machine Translation with Dynamic Graph Convolutional Decoder


sam2pairwise takes a SAM file and uses the CIGAR and MD tag to reconstruct the pairwise alignment of each read.

High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9

BrownieAligner: accurate alignment of Illumina sequencing data to de Bruijn graphs

ampliconDIVider: detection of CRISPR-induced variants in PCR amplicons


[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems

Optimizing Intermediate Representations of Generative Models for Phase Retrieval


Hierarchically Clustered Representation Learning

Joint Optimization of an Autoencoder for Clustering and Embedding

Clustering Images by Unmasking - A New Baseline


ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

Recurrent Bilinear Optimization for Binary Neural Networks

Resilient Binary Neural Network


Visualizing gene tree conflict using Phyparts, and ETE3

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

Phylogenomic Insights into Deep Phylogeny of Angiosperms Based on Broad Nuclear Gene Sampling

Capturing single-copy nuclear genes, organellar genomes, and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae

Reconstructing the complex evolutionary history of the Papuasian Schefflera radiation through herbariomics

Multiple historical processes obscure phylogenetic relationships in a taxonomically difficult group (Lobariaceae, Ascomycota)

Introgression across evolutionary scales suggests reticulation contributes to Amazonian tree diversity

A Phylogenomic Perspective on Evolution and Discordance in the Alpine-Arctic Plant Clade Micranthes (Saxifragaceae)

Synthesis of Nuclear and Chloroplast Data Combined With Network Analyses Supports the Polyploid Origin of the Apple Tribe and the Hybrid Origin of the Maleae—Gillenieae Clade

Phylotranscriptomics unveil a Paleoproterozoic-Mesoproterozoic origin and deep relationships of the Viridiplantae

A New Approach Using Targeted Sequence Capture for Phylogenomic Studies across Cactaceae


A Chinese KBQA dataset with SPARQL annotations.

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

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

Evaluation on ChatGPT for Chinese Language Understanding


Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Tensor Normal Training for Deep Learning Models

Modular Block-diagonal Curvature Approximations for Feedforward Architectures

A Mini-Block Fisher Method for Deep Neural Networks

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models

A Geometric Understanding of Natural Gradient

Non-Convex Optimization with Spectral Radius Regularization


Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Rethinking the Pruning Criteria for Convolutional Neural Network

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck

Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks

Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks

TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation

Learning Distributions via Monte-Carlo Marginalization

Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees


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

Linear Transformers Are Secretly Fast Weight Programmers

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers

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


Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Coupling Model- and Data-Driven Methods for Remote Sensing Image Restoration and Fusion: Improving physical interpretability

Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution

A General Destriping Framework for Remote Sensing Images Using Flatness Constraint


Efficient Exploration through Bayesian Deep Q-Networks

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Randomized Value Functions via Multiplicative Normalizing Flows


Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

International Conference on Learning Representations

Relating Adversarially Robust Generalization to Flat Minima

Self-Ensemble Adversarial Training for Improved Robustness

Adversarial Robustness with Semi-Infinite Constrained Learning

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

SOAR: Second-Order Adversarial Regularization

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE Transactions on Information Forensics and Security

Advancing Adversarial Training by Injecting Booster Signal


Bayesian Optimization of Combinatorial Structures

Mercer Features for Efficient Combinatorial Bayesian Optimization

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models