Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

Unsupervised Object Learning via Common Fate

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model

Computational intelligence and neuroscience


A collection of graph neural networks implementations in JAX

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

How Powerful are Graph Neural Networks?

Gated Graph Sequence Neural Networks

Principal Neighbourhood Aggregation for Graph Nets


A fast and great parser

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

International Conference on Information and Knowledge Management

Shift-Reduce Constituent Parsing with Neural Lookahead Features

Head-Lexicalized Bidirectional Tree LSTMs

Transactions of the Association for Computational Linguistics

Bidirectional Tree-Structured LSTM with Head Lexicalization

Two Local Models for Neural Constituent Parsing


Dataset for car detection on aerial photos applications

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets


Moana: Robust cell type classification of single-cell RNA-Seq data

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data

Computational methods for the integrative analysis of single-cell data


Binaural impulse responses captured in real rooms.

Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Look Once to Hear: Target Speech Hearing with Noisy Examples

A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants


The implementation of our paper: Bilinear Representation for Language-Based Image Editing using Conditional Generative Adversarial Networks (ICASSP2019)

Generative Adversarial Text to Image Synthesis

Semantic Image Synthesis via Adversarial Learning

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks

International Conference on Acoustics, Speech, and Signal Processing


Code for "MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER"

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


Matlab codes for feature learning

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval


Toward Deep Drum Source Separation

Learning to Groove with Inverse Sequence Transformations

Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset

Toward Deep Drum Source Separation


Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Vulnerability Detection Technique: A Survey

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

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


Code/figures in Right for the Right Reasons

COVID-19 Image Data Collection: Prospective Predictions Are the Future

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

A Typology for Exploring the Mitigation of Shortcut Behavior

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

Next2You: Robust Copresence Detection Based on Channel State Information

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.

Identifying Spurious Correlations using Counterfactual Alignment


TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression

DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps

SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series


:boom: Quickly calculate and visualize sequence coverage in alignment files

Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns

Genome sequencing and transcriptome analyses provide insights into the origin and domestication of water caltrop (Trapa spp., Lythraceae)

Wide Distribution of Phage That Infect Freshwater SAR11 Bacteria

Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics

DeepMicrobeFinder Sorts Metagenomes into Prokaryotes, Eukaryotes and Viruses, with Marine Applications


ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Summarizing Medical Conversations via Identifying Important Utterances

International Conference on Computational Linguistics

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality

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


End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA

Pretraining model for biological sequence data

Disease-Associated Circular RNAs: From Biology to Computational Identification

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning


FOFE NER

A Local Detection Approach for Named Entity Recognition and Mention Detection

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

A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection

A Multi-task Learning Approach for Named Entity Recognition using Local Detection


Weather and climate graphics for science communication


Block Sparse movement pruning

Q8BERT: Quantized 8Bit BERT

Movement Pruning: Adaptive Sparsity by Fine-Tuning

Training with Quantization Noise for Extreme Model Compression

And the Bit Goes Down: Revisiting the Quantization of Neural Networks

BERMo: What can BERT learn from ELMo?


Fiji macro for cutting confocal stacks at various depths relative to surface signal

ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks

FERONIA and microtubules independently contribute to mechanical integrity in the Arabidopsis shoot

Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks


scRNA-seq cell type identification

Computational methods for the integrative analysis of single-cell data

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

Multi-task learning from multimodal single-cell omics with Matilda


A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing

Causal Intervention for Fairness in Multi-behavior Recommendation

QAGCF: Graph Collaborative Filtering for Q&A Recommendation


(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

Suppress and Balance: A Simple Gated Network for Salient Object Detection

M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation


Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.

Sentiment Analysis for Fake News Detection

Memory-Guided Multi-View Multi-Domain Fake News Detection

IEEE Transactions on Knowledge and Data Engineering

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting


An efficient solver for lifelong Multi-Agent Path Finding

Lifelong Multi-Agent Path Finding in Large-Scale Warehouses

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding


This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Post-Editing Extractive Summaries by Definiteness Prediction

Findings of the Association for Computational Linguistics: EMNLP 2021


Source code of paper “A Novel Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation”

A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation

Contextual Knowledge Learning for Dialogue Generation


NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Graph Transformers for Large Graphs


Adversarial Learning for Neural Dialogue Generation

TextBugger: Generating Adversarial Text Against Real-world Applications

Proceedings 2019 Network and Distributed System Security Symposium

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation


code for "Residual Flows for Invertible Generative Modeling".

Invertible Residual Networks

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Kullback-Leibler Divergence-Based Out-of-Distribution Detection With Flow-Based Generative Models

Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection

ELF: Exact-Lipschitz Based Universal Density Approximator Flow


LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

SoK: Can Trajectory Generation Combine Privacy and Utility?

MobilityDL: A Review of Deep Learning From Trajectory Data


Safe Exploration in Continuous Action Spaces

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Learning to Walk in the Real World with Minimal Human Effort

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving


a deep-learning-based framework for studying m6A

DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning

Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning

International journal of molecular sciences

Advances in the protein‑encoding functions of circular RNAs associated with cancer (Review)

Analysis approaches for the identification and prediction of N6-methyladenosine sites


Cycles agroecosystem model

Maladaptation in cereal crop landraces following a soot-producing climate catastrophe


Implicit Graph Neural Networks

Implicit Graph Neural Networks

On Training Implicit Models

EIGNN: Efficient Infinite-Depth Graph Neural Networks

MGNNI: Multiscale Graph Neural Networks with Implicit Layers

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs


KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding


An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com

A review of infant cry analysis and classification

EURASIP Journal on Audio, Speech, and Music Processing

Classification of Baby Cry Sound Using Higuchi’s Fractal Dimension with K-Nearest Neighbor and Support Vector Machine

A Comprehensive Literature Review on Children’s Databases for Machine Learning Applications

Weakly Supervised Detection of Baby Cry


High Harmonic Generation in the Strong Field Approximation via Mathematica

Spin conservation in high-order-harmonic generation using bicircular fields

Chirp-control of resonant high-order harmonic generation in indium ablation plumes driven by intense few-cycle laser pulses

Anatomy of high-order harmonic emission from p states in bicircular fields

High harmonic interferometry of the Lorentz force in strong mid-infrared laser fields

Generation of attosecond pulses with a controllable carrier-envelope phase via high-order frequency mixing

Figure-maker code for 'The imaginary part of the high-harmonic cutoff'


The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)

Deep Learning on Graphs: A Survey

Efficient Hyper-parameter Search for Knowledge Graph Embedding

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


weedNet: Dense semantic weed classification using multispectral images and MAV for smart farming

A Survey of Deep Learning Techniques for Weed Detection from Images

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Deep learning techniques to classify agricultural crops through UAV imagery: a review

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review


Code for ICCV 2023 paper "Contrastive Pseudo Learning for Open-World DeepFake Attribution"

FaceForensics++: Learning to Detect Manipulated Facial Images

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

On the Detection of Digital Face Manipulation

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis


Lexically constrained text generation with CBART.

Parallel Refinements for Lexically Constrained Text Generation with BART

AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation


3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

Spatial-Spectral Transformer for Hyperspectral Image Denoising

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved
  Diffusion Models


NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

Flamingo: a Visual Language Model for Few-Shot Learning

The Llama 3 Herd of Models

NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions

Generative Pretraining in Multimodality


ZTF Uniform Depth Survey Image Processing Pipeline

A Search for Extragalactic Fast Blue Optical Transients in ZTF and the Rate of AT2018cow-like Transients

The Zwicky Transient Facility Type Ia supernova survey: first data release and results

Variability-selected Intermediate-mass Black Hole Candidates in Dwarf Galaxies from ZTF and WISE

Cosmological Fast Optical Transients with the Zwicky Transient Facility: A Search for Dirty Fireballs

Two c's in a pod: Cosmology independent measurement of the Type Ia supernova colour-luminosity relation with a sibling pair


Functional Map of the World

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

Contrastive Adapters for Foundation Model Group Robustness

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations

Efficient Classification of Very Large Images with Tiny Objects

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine


MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing

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

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


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

Cobolt: Joint analysis of multimodal single-cell sequencing data

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

Deep Learning in Single-Cell Analysis

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

bioRxiv : the preprint server for biology


An R package for acquisition and processing of NASA SMAP data


Framework for the specification and analysis of models for human reasoning.

A Quantitative Symbolic Approach to Individual Human Reasoning

The Predictive Power of Spatial Relational Reasoning Models: A New Evaluation Approach


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

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

Neural Architecture Search Survey: A Computer Vision Perspective


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

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

Explanations from Large Language Models Make Small Reasoners Better

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Better Zero-Shot Reasoning with Self-Adaptive Prompting

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

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

Small Language Model Can Self-correct

Mixed Distillation Helps Smaller Language Model Better Reasoning

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models


Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.

X-parameter based design and simulation of Josephson traveling-wave parametric amplifiers for quantum computing applications

Numerical Simulations of Josephson Traveling Wave Parametric Amplifiers (JTWPAs): Comparative Study of Open-Source Tools

IEEE transactions on applied superconductivity

Directional emission of a readout resonator for qubit measurement

Modeling flux-quantizing Josephson junction circuits in Keysight ADS


A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Recommendations for Datasets for Source Code Summarization

M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization


PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020

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

EventGraph: Event Extraction as Semantic Graph Parsing


A Dataset for Grounded Video Description

Grounded Video Description

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

Consensus Graph Representation Learning for Better Grounded Image Captioning

Learning to Generate Grounded Visual Captions without Localization Supervision

Relational Graph Learning for Grounded Video Description Generation

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

A Comprehensive Review on Recent Methods and Challenges of Video Description

Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization

Event and Entity Extraction from Generated Video Captions


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion


Open Data Commons Open Database License v1.0

NeuroQuery: comprehensive meta-analysis of human brain mapping

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

NiMARE: Neuroimaging Meta-Analysis Research Environment

Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain

The entire brain, more or less, is at work: ‘Language regions’ are artefacts of averaging

Substructure of the brain’s Cingulo-Opercular network

Methods for decoding cortical gradients of functional connectivity


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

CRYLOGGER: Detecting Crypto Misuses Dynamically


[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Evasion and Hardening of Tree Ensemble Classifiers

Robustness Verification of Tree-based Models

An Efficient Adversarial Attack for Tree Ensembles

Connecting Interpretability and Robustness in Decision Trees through Separation


Effective selection of population size projection for construction of the site frequency spectrum. Convert VCF to dadi/fastsimcoal style SFS for demographic analysis

Origin and adaptation to high altitude of Tibetan semi-wild wheat

Resequencing 545 ginkgo genomes across the world reveals the evolutionary history of the living fossil

Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia

Patterns of polymorphism and selection in the subgenomes of the allopolyploid Arabidopsis kamchatica

Whole genome analyses reveal novel genes associated with chicken adaptation to tropical and frigid environments

Genomic insights into the evolution of Echinochloa species as weed and orphan crop

Population genomics of wild Chinese rhesus macaques reveals a dynamic demographic history and local adaptation, with implications for biomedical research

The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability

Conservation Genomics of a Threatened Rhododendron: Contrasting Patterns of Population Structure Revealed From Neutral and Selected SNPs

Population history provides foundational knowledge for utilizing and developing native plant restoration materials


Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

Asthma and its relationship to mitochondrial copy number: Results from the Asthma Translational Genomics Collaborative (ATGC) of the Trans-Omics for Precision Medicine (TOPMed) program

Dissecting the multifaceted contribution of the mitochondrial genome to autism spectrum disorder

Contribution of CACNA1H Variants in Autism Spectrum Disorder Susceptibility


Benchmarked implementations of Offline RL Algorithms.

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Extreme Q-Learning: MaxEnt RL without Entropy

The In-Sample Softmax for Offline Reinforcement Learning


DrQ: Data regularized Q

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

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

State Entropy Maximization with Random Encoders for Efficient Exploration

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

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Revisiting Data Augmentation in Deep Reinforcement Learning


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

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

Guidelines for performing Mendelian randomization investigations

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

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

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


Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Hindsight Experience Replay

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", by Juan L Gamella and Christina Heinze-Deml.

Active Invariant Causal Prediction: Experiment Selection through Stability

Learning Neural Causal Models with Active Interventions

Automated causal inference in application to randomized controlled clinical trials

Towards IID representation learning and its application on biomedical data


BamDeal: a comprehensive toolkit for bam manipulation

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

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

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

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

Chromosome-level Genome of the Muskrat (Ondatra zibethicus)

Draft genome sequence data of Haemaphysalis longicornis Oita strain


Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

A ConvNet for the 2020s

Graph HyperNetworks for Neural Architecture Search

Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?

Pretraining a Neural Network before Knowing Its Architecture

GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks


DMControl Generalization Benchmark

Generalization in Reinforcement Learning by Soft Data Augmentation

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation

Revisiting Data Augmentation in Deep Reinforcement Learning

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning


Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

BigGait: Learning Gait Representation You Want by Large Vision Models

Unified Source-Free Domain Adaptation


Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

Learning Deep Features for Discriminative Localization

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

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

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs


Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems

Symposium on Dependable Autonomic and Secure Computing

Safe Predictors for Enforcing Input-Output Specifications

Generating probabilistic safety guarantees for neural network controllers

Point-Based Value Iteration for POMDPs with Neural Perception Mechanisms


TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Sequence Adaptation via Reinforcement Learning in Recommender Systems


GPT-3: Language Models are Few-Shot Learners

Language Models are Few-Shot Learners

Extracting Training Data from Large Language Models

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

Efficient Large Scale Language Modeling with Mixtures of Experts

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Automatic Detection of Machine Generated Text: A Critical Survey

MEGA: Multilingual Evaluation of Generative AI

Few-shot Learning with Multilingual Language Models

Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services


GAN, transfer learning, few data.

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

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Differentiable Augmentation for Data-Efficient GAN Training

Few-shot Image Generation via Cross-domain Correspondence

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

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains


Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security


PHESANT - PHEnome Scan ANalysis Tool (pheWAS, Mendelian randomisation (MR)-pheWAS etc.) in UK Biobank

Recent Developments in Mendelian Randomization Studies

Rare variant contribution to human disease in 281,104 UK Biobank exomes

PHESANT: a tool for performing automated phenome scans in UK Biobank

Phenotypic effects of genetic variants associated with autism

Polygenic risk score-based phenome-wide association study identifies novel associations for Tourette syndrome

Longitudinal microstructural changes in 18 amygdala nuclei resonate with cortical circuits and phenomics


TAP: An automated jailbreaking method for black-box LLMs

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks


Implementation of Directional Graph Networks in PyTorch and DGL

Neural Message Passing for Quantum Chemistry

Principal Neighbourhood Aggregation for Graph Nets

Directional Graph Networks


X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Taming Pretrained Transformers for Extreme Multi-label Text Classification

A Survey on Extreme Multi-label Learning


Chapel-based Optimization

A comparative study of high-productivity high-performance programming languages for parallel metaheuristics

Towards ultra-scale Branch-and-Bound using a high-productivity language

An Incremental Parallel PGAS-based Tree Search Algorithm

International Symposium on High Performance Computing Systems and Applications

Productivity-Aware Design and Implementation of Distributed Tree-Based Search Algorithms

Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms


[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

HoughNet: Integrating near and long-range evidence for bottom-up object detection

HoughNet: Integrating near and long-range evidence for visual detection


ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015


Official code for  "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

Graph Self-Supervised Learning: A Survey

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

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Graph-based Semi-supervised Learning: A Comprehensive Review

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Graph-based Molecular Representation Learning

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning


Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Embedding Transfer with Label Relaxation for Improved Metric Learning

Slowing Down the Weight Norm Increase in Momentum-based Optimizers


Python bindings for YMW16, NE2001 and YT2020 electron density models

A comparison of Galactic electron density models using PyGEDM

Publications of the Astronomical Society of Australia

A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

Monthly notices of the Royal Astronomical Society

A Data-driven Technique Using Millisecond Transients to Measure the Milky Way Halo

Revealing the Dynamic Magnetoionic Environments of Repeating Fast Radio Burst Sources through Multiyear Polarimetric Monitoring with CHIME/FRB

The eccentric millisecond pulsar, PSR J0955−6150

The Green Bank North Celestial Cap Survey. VIII. 21 New Pulsar Timing Solutions

VLBA Astrometry of the Galactic Double Neutron Stars PSR J0509+3801 and
  PSR J1930-1852: A Preliminary Transverse Velocity Distribution of Double
  Neutron Stars and Its Implications

TRAPUM search for pulsars in supernova remnants and pulsar wind nebulae − I. Survey description and initial discoveries

On the Initial Spin Period Distribution of Neutron Stars


DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

Key-value information extraction from full handwritten pages

End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940

Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition


Decoding platform for machine translation research

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem

Best-First Beam Search

Domain Adaptive Inference for Neural Machine Translation

Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT

SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies

A Comparison of Neural Models for Word Ordering

On the Depth between Beam Search and Exhaustive Search for Text Generation

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space


The event mention detection and corefrene evaluators, and associated utilities (converters, validators)

Nugget Proposal Networks for Chinese Event Detection

Event Detection with Trigger-Aware Lattice Neural Network

Empirical Methods in Natural Language Processing

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning

Meeting of the Association for Computational Linguistics

End-to-End Neural Event Coreference Resolution

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Adaptive Scaling for Sparse Detection in Information Extraction


Scripts to extract features of cortical folding from MRI

Independent components of human brain morphology

Neuro-evolutionary evidence for a universal fractal primate brain shape

Multiscale cortical morphometry reveals pronounced regional and scale-dependent variations across the lifespan


free software C++ libraries for cosmological calculations

The void size function in dynamical dark energy cosmologies

Journal of Cosmology and Astroparticle Physics

CosmoBolognaLib: C++ libraries for cosmological calculations

Cosmological exploitation of the size function of cosmic voids identified in the distribution of biased tracers

Cosmological constraints from a joint analysis of cosmic growth and expansion

Monthly Notices of the Royal Astronomical Society: Letters

Cosmic voids uncovered – first-order statistics of depressions in the biased density field

The VIMOS Public Extragalactic Redshift Survey (VIPERS). Exploring the dependence of the three-point correlation function on stellar mass and luminosity at $0.5 < z < 1.1$

Clustering and redshift-space distortions in modified gravity models with massive neutrinos

Clustering of CODEX clusters

The XMM-Newton wide field survey in the COSMOS field: Clustering dependence of X-ray selected AGN on host galaxy properties

Validating the methodology for constraining the linear growth rate from clustering anisotropies


Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding

The Reversible Residual Network: Backpropagation Without Storing Activations

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Spherical Channels for Modeling Atomic Interactions

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning

Learning to design protein-protein interactions with enhanced generalization


A multilingual lexicon of words to hurt.

StarCoder 2 and The Stack v2: The Next Generation

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection Using Meta Learning

FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection

Workshop on Trolling, Aggression and Cyberbullying

Cross-lingual hate speech detection based on multilingual domain-specific word embeddings

A Neighborhood Framework for Resource-Lean Content Flagging

Transactions of the Association for Computational Linguistics

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

Multi-word Expressions for Abusive Speech Detection in Serbian

StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors

minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices

International Conference on Data Science and Advanced Analytics


Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit


Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Adversarial Training for Free!

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Bag of Tricks for Adversarial Training

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness


GUI/CommandLine Tool Box for biologistists to utilize NGS data.

TBtools - an integrative toolkit developed for interactive analyses of big biological data

Genome-wide investigation of WRKY gene family in pineapple: evolution and expression profiles during development and stress

Genome-wide investigation of the AP2/ERF gene family in tartary buckwheat (Fagopyum Tataricum)

Genome-wide analysis of the NAC transcription factor family in Tartary buckwheat (Fagopyrum tataricum)

Genome-wide identification and transcriptional expression analysis of superoxide dismutase (SOD) family in wheat (Triticum aestivum)

Genome-wide identification, structure characterization, and expression pattern profiling of aquaporin gene family in cucumber

A natural biological adhesive from snail mucus for wound repair

Genome-wide identification and expression analysis of the NAC transcription factor family in tomato (Solanum lycopersicum) during aluminum stress

Genome-wide identification and expression analysis of AP2/ERF transcription factors in sugarcane (Saccharum spontaneum L.)

Genome-Wide Analysis and Expression Profile of Superoxide Dismutase (SOD) Gene Family in Rapeseed (Brassica napus L.) under Different Hormones and Abiotic Stress Conditions


code of CycleGT

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

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings


A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

Learning with Opponent-Learning Awareness

Maintaining cooperation in complex social dilemmas using deep reinforcement learning

Emergent Communication through Negotiation

Adaptive Mechanism Design: Learning to Promote Cooperation

DiCE: The Infinitely Differentiable Monte-Carlo Estimator


Contains data, format checker, scorer and baselines for the CLEF2020-CheckThat! Task 1.

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions


Species distribution modeling tools, including a python implementation of Maxent


Access Canadian Historical Climate Data from R

Accounting for missing data in monthly temperature series: Testing rule‐of‐thumb omission of months with missing values


R package for semi-supervised single-cell data integration

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data

Semi-supervised integration of single-cell transcriptomics data

SPICA: Swiss portal for immune cell analysis


The SETimes.HR+ Croatian dependency treebank

Multilingual Projection for Parsing Truly Low-Resource Languages

New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian

Universal Dependencies for Croatian (that work for Serbian, too)

A Legal Perspective on Training Models for Natural Language Processing

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Collaborative Development of a Rule-Based Machine Translator between Croatian and Serbian

European Association for Machine Translation Conferences/Workshops

Regional Linguistic Data Initiative (ReLDI)


Query language for blending SQL logic and LLM reasoning across structured + unstructured data. [Findings of ACL 2024]

Binding Language Models in Symbolic Languages

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra


JDeodorant

Code smells and refactoring: A tertiary systematic review of challenges and observations

Automatizing Software Cognitive Complexity Reduction

On the use of static analysis to engage students with software quality improvement: An experience with PMD

Refactoring Assertion Roulette and Duplicate Assert test smells: a controlled experiment

Long Method and Long Parameter List Code Smells Detection using Functional and Semantic Characteristics

International Journal of Recent Technology and Engineering (IJRTE)

Behind the Intent of Extract Method Refactoring: A Systematic Literature Review

Technical debt management automation: State of the art and future perspectives


Library for computing with multidimensional functions

High-dimensional stochastic optimal control using continuous tensor decompositions

Gradient-based optimization for regression in the functional tensor-train format

Functional Tensor-Train Chebyshev Method for Multidimensional Quantum Dynamics Simulations

Approximation in the extended functional tensor train format


Guideline for AI based Medical Devices

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

OnRAMP for Regulating Artificial Intelligence in Medical Products

Artificial Intelligence in Healthcare: Lost In Translation?


vSNP -- validate SNPs

Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer

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

Reconsidering Mycobacterium bovis as a proxy for zoonotic tuberculosis: a molecular epidemiological surveillance study

Whole Genome Sequencing for Determining the Source of Mycobacterium bovis Infections in Livestock Herds and Wildlife in New Zealand

Highly Pathogenic Avian Influenza A(H5N1) Virus Clade 2.3.4.4b Infections in Wild Terrestrial Mammals, United States, 2022

SARS-CoV-2 Omicron (B.1.1.529) Infection of Wild White-Tailed Deer in New York City

Antimicrobial resistance and genomic characterization of Salmonella Dublin isolates in cattle from the United States

Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

Who infects whom?—Reconstructing infection chains of Mycobacterium avium ssp. paratuberculosis in an endemically infected dairy herd by use of genomic data

Whole-Genome SNP Analysis Identifies Putative Mycobacterium bovis Transmission Clusters in Livestock and Wildlife in Catalonia, Spain

Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas


An R package to analyze, summarize, and visualize daily streamflow data

Down‐delta hydraulic geometry and its application to the rock record

The hydrological benefits of restoration: A modelling study of alien tree clearing in four mountain catchments in South Africa


SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Identity Mappings in Deep Residual Networks

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Image Super-Resolution as a Defense Against Adversarial Attacks

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

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

The Efficacy of SHIELD under Different Threat Models


Convergent antibody responses to SARS-CoV-2 in convalescent individuals

bioRxiv : the preprint server for biology

Evolution of antibody immunity to SARS-CoV-2

Naturally enhanced neutralizing breadth against SARS-CoV-2 one year after infection

Enhanced SARS-CoV-2 neutralization by dimeric IgA

Anti-SARS-CoV-2 receptor-binding domain antibody evolution after mRNA vaccination

Increased memory B cell potency and breadth after a SARS-CoV-2 mRNA boost

A Public Database of Memory and Naive B-Cell Receptor Sequences

Autoantibodies against chemokines post-SARS-CoV-2 infection correlate with disease course

Memory B cell responses to Omicron subvariants after SARS-CoV-2 mRNA breakthrough infection in humans

Naturally enhanced neutralizing breadth to SARS-CoV-2 after one year


Tool that tries to guess a person's gender based on their name and location

BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews

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

The Gender Gap in Scholarly Self-Promotion on Social Media

Code reviews in open source projects : how do gender biases affect participation and outcomes?

On the Dynamics of Local to Global Campaigns for Curbing Gender-based Violence

Are Code Review Processes Influenced by the Genders of the Participants?

An Empirical Comparison of Ethnic and Gender Diversity of DevOps and non-DevOps Contributions to Open-Source Projects

Zenodo (CERN European Organization for Nuclear Research)


A curated list of deep learning resources for video-text retrieval.

Movie Description

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval

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

Improving Video Retrieval by Adaptive Margin


ChIP-Atlas: Browse and analyze all public ChIP/DNase-seq data on your browser

ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data

Accelerated Evolution in Distinctive Species Reveals Candidate Elements for Clinically Relevant Traits, Including Mutation and Cancer Resistance

FOXO1 stimulates tip cell-enriched gene expression in endothelial cells

A Combinatorial Regulatory Platform Determines Expression of RNA Polymerase III Subunit RPC7α (POLR3G) in Cancer

AKT1 induces Nanog promoter in a SUMOylation-dependent manner in different pluripotent contexts


Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers

TWOLAR: A TWO-Step LLM-Augmented Distillation Method for Passage Reranking

A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE


Planck 2018 lensing pipeline

CMB lensing from Planck PR4 maps

Quadratic estimators for CMB weak lensing

An estimator for the lensing potential from galaxy number counts

CMB lensing reconstruction biases from masking extragalactic sources

Foreground separation and constraints on primordial gravitational waves with the PICO space mission

Lensing power spectrum of the cosmic microwave background with deep polarization experiments

Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data

Real-world CMB lensing quadratic estimator power spectrum response

Planck integrated Sachs-Wolfe-lensing likelihood and the CMB temperature

Impact of thermal Sunyaev–Zeldovich effect on cross-correlations between Planck cosmic microwave background lensing and SDSS galaxy density fields

Monthly notices of the Royal Astronomical Society


The Scott-Knott Effect Size Difference (ESD) test

The Impact of Automated Parameter Optimization on Defect Prediction Models

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans

Predicting unstable software benchmarks using static source code features

Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform

Predicting Code Review Completion Time in Modern Code Review

Code Ownership: The Principles, Differences, and Their Associations with
  Software Quality


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

Zero-shot User Intent Detection via Capsule Neural Networks

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Composed Variational Natural Language Generation for Few-shot Intents

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution

Energy-based Unknown Intent Detection with Data Manipulation

Bi-directional Joint Neural Networks for Intent Classification and Slot Filling

Attentively Embracing Noise for Robust Latent Representation in BERT

International Conference on Computational Linguistics


Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Neural Machine Translation by Jointly Learning to Align and Translate

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

Sequence to Sequence Learning with Neural Networks

Mixed-Level Neural Machine Translation

Computational intelligence and neuroscience

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics

Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering

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

An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention


A surrogate benchmark for neural architecture search

How Powerful are Performance Predictors in Neural Architecture Search?

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies

Speedy Performance Estimation for Neural Architecture Search

NAS-Bench-x11 and the Power of Learning Curves

On Redundancy and Diversity in Cell-based Neural Architecture Search

Approximate Neural Architecture Search via Operation Distribution Learning


A collection of scripts for working with Hi-C data, Juicebox, and other genomic file formats

The pink salmon genome: Uncovering the genomic consequences of a two-year life cycle

Topological structures and syntenic conservation in sea anemone genomes

Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case

Phased Diploid Genome Sequence for the Fast-Growing Microalga Picochlorum celeri

A chromosome scale assembly of the parasitoid wasp Venturia canescens provides insight into the process of virus domestication

Sablefish (Anoplopoma fimbria) chromosome-level genome assembly


Code and Python library to process Robotic Total Stations data

Uncertainty Analysis for Accurate Ground Truth Trajectories with Robotic Total Stations

Benchmarking ground truth trajectories with robotic total stations

RTS-GT: Robotic Total Stations Ground Truthing dataset


AVClass malware labeling tool

AVClass2: Massive Malware Tag Extraction from AV Labels

Malware Lineage in the Wild

Online Malware Classification with System-Wide System Calls in Cloud IaaS

On labeling Android malware signatures using minhashing and further classification with Structural Equation Models

Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown

EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis


An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations


Evaluation software used in the Text Retrieval Conference

Neural Vector Spaces for Unsupervised Information Retrieval

ACM transactions on office information systems

Pytrec_eval: An Extremely Fast Python Interface to trec_eval

International ACM SIGIR Conference on Research and Development in Information Retrieval

Wiser: A semantic approach for expert finding in academia based on entity linking

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Modularized Transfomer-based Ranking Framework

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

TripClick: The Log Files of a Large Health Web Search Engine

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval

SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search


Interface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes


An integrated high performance bioinformatics toolkit

Molecular identification of the wheat male fertility gene Ms1 and its prospects for hybrid breeding

Analysis of the resistance mechanisms in sugarcane during Sporisorium scitamineum infection using RNA-seq and microscopy

Reproductive Stage Drought Tolerance in Wheat: Importance of Stomatal Conductance and Plant Growth Regulators

Genetic Identification and Transcriptome Analysis of Lintless and Fuzzless Traits in Gossypium arboreum L.

International journal of molecular sciences

Characterization and Genetic Mapping of Black Root Rot Resistance in Gossypium arboreum L.


research work on multimodal cognitive ai

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact
  Language Model

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models


CANAlization: Control & Redundancy in Boolean Networks

CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks

Influence maximization in Boolean networks

Effective Connectivity and Bias Entropy Improve Prediction of Dynamical Regime in Automata Networks

Dynamical Methods for Target Control of Biological Networks

Dynamical Modularity in Automata Models of Biochemical Networks


The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software

A Globally Convergent Gradient Method with Momentum

Accelerated derivative-free spectral residual method for nonlinear systems of equations

Model-Based Derivative-Free Optimization Methods and Software


VNN Neural Network Verification Competition 2021

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Efficient Neural Network Analysis with Sum-of-Infeasibilities

Toward Certified Robustness Against Real-World Distribution Shifts

Counterexample Guided Neural Network Quantization Refinement

IEEE transactions on computer-aided design of integrated circuits and systems

CEG4N: Counter-Example Guided Neural Network Quantization Refinement

Towards Global Neural Network Abstractions with Locally-Exact Reconstruction


Ligra: A Lightweight Graph Processing Framework for Shared Memory

Parallel Local Graph Clustering

ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines

Graph Computing Systems and Partitioning Techniques: A Survey

iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?

A New Frontier for Pull-Based Graph Processing


Command-line client for Fractal


GriSPy is a regular grid search algorithm for quick nearest-neighbor lookup.

GriSPy: A Python package for fixed-radius nearest neighbors search

Measuring the surface mass density ellipticity of redMaPPer galaxy clusters using weak lensing

Monthly Notices of the Royal Astronomical Society

On the weak-lensing masses of a new sample of galaxy groups

Nearest neighbour analysis as a new probe for fuzzy dark matter


YACCLAB: Yet Another Connected Components Labeling Benchmark

Toward reliable experiments on the performance of Connected Components Labeling algorithms

Connected Components Labeling on DRAGs

International Conference on Pattern Recognition

Efficient Source Finding for Radio Interferometric Images

Parallel Algorithm for Connected-Component Analysis Using CUDA

An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images

IEEE Open Journal of the Computer Society

A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes

Reproducible Research in Pattern Recognition


Brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis.

A neuromarker for drug and food craving distinguishes drug users from non-users

An fMRI-Based Brain Marker of Individual Differences in Delay Discounting

The Journal of neuroscience : the official journal of the Society for Neuroscience

Brain Structural Changes During Juvenile Fibromyalgia: Relationships With Pain, Fatigue, and Functional Disability

Arthritis & rheumatology (Hoboken, N.J.)

Healthcare experience affects pain‐specific responses to others' suffering in the anterior insula

Evoked pain intensity representation is distributed across brain systems: A multistudy mega-analysis

Odor imagery but not perception drives risk for food cue reactivity and increased adiposity

bioRxiv : the preprint server for biology


Sharding manager contract, and related software and tests

Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Secure Trust-Based Delegated Consensus for Blockchain Frameworks Using Deep Reinforcement Learning

A Blockchain-based Iterative Double Auction Protocol Using Multiparty State Channels

Blockchain Storage Load Balancing Among DHT Clustered Nodes


ASDL: Automatic Second-order Differentiation Library for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Laplace Redux - Effortless Bayesian Deep Learning

Shampoo: Preconditioned Stochastic Tensor Optimization

Laplace Redux -- Effortless Bayesian Deep Learning

ASDL: A Unified Interface for Gradient Preconditioning in PyTorch

Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks


Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

Microstructural and functional gradients are increasingly dissociated in transmodal cortices

Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding

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

Shifts in myeloarchitecture characterise adolescent development of cortical gradients.

A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Convergence of cortical types and functional motifs in the human mesiotemporal lobe

Targeting age-related differences in brain and cognition with multimodal imaging and connectome topography profiling

Personality and local brain structure: Their shared genetic basis and reproducibility

Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution

Atypical intrinsic neural timescales in temporal lobe epilepsy


The open-sourced Python toolbox for backdoor attacks and defenses.

Black-box Dataset Ownership Verification via Backdoor Watermarking

BackdoorBox: A Python Toolbox for Backdoor Learning

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Defending Against Backdoor Attacks by Layer-wise Feature Analysis

Nearest is Not Dearest: Towards Practical Defense Against Quantization-Conditioned Backdoor Attacks

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Poisoning-Based Backdoor Attacks in Computer Vision

Proceedings of the AAAI Conference on Artificial Intelligence


PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross

Age-structured impact of social distancing on the COVID-19 epidemic in India

Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

Applied intelligence (Dordrecht, Netherlands)

A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India

Spatial and spatio-temporal epidemiology

Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

COVID-19 disease spread modeling by QSIR method: The parameter optimal control approach

Lockdown Impact and Exit Strategy for COVID-19 Pandemic in India

Efficient and flexible methods for simulating models of time since infection

Age Structured Mixture Model for Early COVID-19 Spread: A Zimbabwean Risk Factor Analysis

Journal of Contemporary Studies in Epidemiology and Public Health


BFT-SMaRt's project home page

Blockchain Consensus Protocols in the Wild

HotStuff: BFT Consensus in the Lens of Blockchain

Basil: Breaking up BFT with ACID (transactions)

Symposium on Operating Systems Principles

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

On Byzantine fault tolerance in multi-master Kubernetes clusters

Evaluation and Ranking of Replica Deployments in Geographic State Machine Replication

Symposium on Reliable Distributed Systems

Chop Chop: Byzantine Atomic Broadcast to the Network Limit

Network bandwidth variation‐adapted state transfer for geo‐replicated state machines and its application to dynamic replica replacement

A Domain Specific Language for Testing Consensus Implementations

A State Transfer Method That Adapts to Network Bandwidth Variations in Geographic State Machine Replication


A federated learning framework to support scalable and reproducible research

Pisces: Efficient Federated Learning via Guided Asynchronous Training

Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies

FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization

FedFair^3: Unlocking Threefold Fairness in Federated Learning

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 15


A DG-IMEX Method for Two-moment Neutrino Transport: Nonlinear Solvers for Neutrino-Matter Coupling

The Astrophysical Journal Supplement Series

thornado-hydro: A Discontinuous Galerkin Method for Supernova Hydrodynamics with Nuclear Equations of State

thornado-transport: Anderson- and GPU-accelerated nonlinear solvers for neutrino-matter coupling

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

DG-IMEX Method for a Two-Moment Model for Radiation Transport in the ��(v/c) Limit


Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

Reduction of the proton radius discrepancy by 3 sigma

Predictive constitutive modelling of arteries by deep learning

Constraining particle acceleration in Sgr A* with simultaneous GRAVITY, Spitzer, NuSTAR and Chandra observations

Gaia Gaps and the Physics of Low-mass Stars. I. The Fully Convective Boundary

The emission and scintillation properties of RRAT J2325−0530 at 154 MHz and 1.4 GHz

Publications of the Astronomical Society of Australia

Pulse energy distribution for RRAT J0139+33 according to observations at the 111 MHz frequency

Investigation of the properties of four rotating radio transients at 111 MHz

Monthly Notices of the Royal Astronomical Society

Constraining cosmological and galaxy parameters using strong gravitational lensing systems

Extragalactic FXT Candidates Discovered by Chandra (2014-2022)

Spinal control of locomotion before and after spinal cord injury


Accelerated deep learning R&D

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Artificial Intelligence for Prosthetics - challenge solutions

The Springer series on challenges in machine learning

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

Fully convolutional Siamese neural networks for buildings damage assessment from satellite images

Catalyst.RL: A Distributed Framework for Reproducible RL Research

Sample Efficient Ensemble Learning with Catalyst.RL

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures


ORF prediction of de novo transcriptome assemblies

Separating homeologs by phasing in the tetraploid wheat transcriptome

Brain transcriptomics of agonistic behaviour in the weakly electric fish Gymnotus omarorum, a wild teleost model of non-breeding aggression


Bluetooth Low Energy Software Stack for Embedded Devices

Neighbor Discovery Latency in BLE-Like Protocols

Optimizing BLE-Like Neighbor Discovery

Slotless Protocols for Fast and Energy-Efficient Neighbor Discovery


tools for error correction and working with long read data

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Error correction and assembly complexity of single molecule sequencing reads.

A comparative evaluation of hybrid error correction methods for error-prone long reads

Capture of complete ciliate chromosomes in single sequencing reads reveals widespread chromosome isoforms

What is in a lichen? A metagenomic approach to reconstruct the holo-genome of Umbilicaria pustulata


Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

A Survey on Time-Series Pre-Trained Models

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


SR based on LLMs.

End-to-end symbolic regression with transformers

Interpretable Scientific Discovery with Symbolic Regression: A Review

Transformer-based Planning for Symbolic Regression

The Causal Chambers: Real Physical Systems as a Testbed for AI
  Methodology


collection of scripts and commands used by Ian Korf, Keith Bradnam, and Joe Fass in the analysis of Assemblathon 2 entries (assemblies)

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

A bird’s white-eye view on avian sex chromosome evolution

Convergent molecular evolution among ash species resistant to the emerald ash borer

The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders

CRISPR/Cas9-Based Knock-Out of the PMR4 Gene Reduces Susceptibility to Late Blight in Two Tomato Cultivars

International journal of molecular sciences

Genome survey and microsatellite motif identification of Pogonophryne albipinna

Twinkle twinkle brittle star: the draft genome of Ophioderma brevispinum (Echinodermata: Ophiuroidea) as a resource for regeneration research

Whole-Genome Survey and Microsatellite Marker Detection of Antarctic Crocodile Icefish, Chionobathyscus dewitti

Animals : an open access journal from MDPI


Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

A Survey of Machine Unlearning

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection


QPLEX: Duplex Dueling Multi-Agent Q-Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Regularized Softmax Deep Multi-Agent Q-Learning

LINDA: multi-agent local information decomposition for awareness of teammates

Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

Efficient Multi-agent Reinforcement Learning by Planning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

On Stateful Value Factorization in Multi-Agent Reinforcement Learning


Language Models Can See: Plugging Visual Controls in Text Generation

A Contrastive Framework for Neural Text Generation

ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles


GNNExplainer: Generating Explanations for Graph Neural Networks

Task-Agnostic Graph Explanations

[Re] Parameterized Explainer for Graph Neural Network

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

Efficient GNN Explanation via Learning Removal-based Attribution

Faithful Explanations for Deep Graph Models


Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

Generating Natural Language Adversarial Examples

Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

InferLite: Simple Universal Sentence Representations from Natural Language Inference Data

Empirical Methods in Natural Language Processing


Official repository for the paper "Chunked Autoregressive GAN for Conditional Waveform Synthesis"

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

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

Mel Spectrogram Inversion with Stable Pitch

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform
  Generation


Code and links for over 25,000 trained Atari agents

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dopamine: A Research Framework for Deep Reinforcement Learning

Munchausen Reinforcement Learning

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments


PyTorch code for JEREX: Joint Entity-Level Relation Extractor

An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning

A sequence-to-sequence approach for document-level relation extraction


Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care

AI.vs.Clinician: Unveiling Intricate Interactions Between AI and
  Clinicians through an Open-Access Database


CP-JKU submission to DCASE 19, performant single-model CNN

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Receptive-field-regularized CNN variants for acoustic scene classification

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

Receptive-Field Regularized CNNs for Music Classification and Tagging


Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

International Conference on Computational Linguistics

Reinforcement-based denoising of distantly supervised NER with partial annotation


Keras implementation of YOLO v3 for object detection with training and deployment in Azure ML.

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

YOLOv4: Optimal Speed and Accuracy of Object Detection


Author's PyTorch implementation of BCQ for continuous and discrete actions

Off-Policy Deep Reinforcement Learning without Exploration

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

An Optimistic Perspective on Offline Reinforcement Learning

Planning with Diffusion for Flexible Behavior Synthesis

Benchmarking Batch Deep Reinforcement Learning Algorithms

PLAS: Latent Action Space for Offline Reinforcement Learning

d3rlpy: An Offline Deep Reinforcement Learning Library

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles


Domain Adaptive Robust Faster R-CNN Implementation in Keras/TF

Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks

A Robust Learning Approach to Domain Adaptive Object Detection

Automatic adaptation of object detectors to new domains using self-training

d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding


NetTCR-2.0. Sequence-based prediction of peptide-TCR binding

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding

Attentive Variational Information Bottleneck for TCR–peptide interaction prediction

RACER-m leverages structural features for sparse T cell specificity prediction

TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding

Computational and structural biotechnology journal


[BMVC 2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations"

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

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

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification


Code example for the ICLR 2018 oral paper

Training and Inference with Integers in Deep Neural Networks

PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++

Training Quantized Deep Neural Networks via Cooperative Coevolution


This is the implementation of our Interspeech 2021 paper: Limited data emotional voice conversion leveraging text-to-speech: two-stage sequence-to-sequence training.

Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


A framework for automated black-box testing of RESTful APIs.

Automated black‐box testing of nominal and error scenarios in RESTful APIs

Software testing, verification & reliability

Testing RESTful APIs: A Survey

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Automated Black-Box Testing of Mass Assignment Vulnerabilities in RESTful APIs

RestTestGen: An Extensible Framework for Automated Black-box Testing of RESTful APIs

IEEE International Conference on Software Maintenance and Evolution


Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"

RamanNet: a generalized neural network architecture for Raman spectrum analysis

RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra

Towards Knowledge Uncertainty Estimation for Open Set Recognition

Machine Learning and Knowledge Extraction

Interpretable Classification of Bacterial Raman Spectra With Knockoff Wavelets

IEEE journal of biomedical and health informatics


Ten thousand books, six million ratings

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data

Mixture-of-tastes Models for Representing Users with Diverse Interests

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data

Predictive Optimization with Zero-Shot Domain Adaptation


Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Image Classification at Supercomputer Scale

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Communication optimization strategies for distributed deep neural network training: A survey

Journal of Parallel and Distributed Computing

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition

Privacy Preserving QoE Modeling using Collaborative Learning

Training Multilingual Pre-trained Language Model with Byte-level Subwords


the official TangXu's group released codes about the Remote Sensing images classificaiton

Attention Consistent Network for Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels

IEEE Transactions on Geoscience and Remote Sensing

Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification


Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

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

Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

A scoping review on multimodal deep learning in biomedical images and texts

Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models


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

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

Deep Intellectual Property Protection: A Survey

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)


Genetic Algorithm Package for Python

An exponentially more efficient optimization algorithm for noisy quantum computers

Parameter Calibration to Improve the Prediction of Tropical Cyclones over the Bay of Bengal Using Machine Learning–Based Multiobjective Optimization

What can we Learn by Predicting Accuracy?

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment

Rapid Design of Fully Soft Deployable Structures Via Kirigami Cuts and Active Learning

Control of the von Neumann Entropy for an Open Two-Qubit System Using Coherent and Incoherent Drives


IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By  Dissecting BERT-based Word Models

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

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

SBERT-WK: A Sentence Embedding Method by Dissecting BERT-Based Word Models

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

Investigating Active Learning in Interactive Neural Machine Translation


Bayesian Analysis for Stellar Evolution

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. I. STATISTICAL AND COMPUTATIONAL METHODS

Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters – III. Analysis of 30 Clusters

A BAYESIAN ANALYSIS OF THE AGES OF FOUR OPEN CLUSTERS

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. II. NGC 5024, NGC 5272, AND NGC 6352

New Determination of Fundamental Properties of Palomar 5 Using Deep DESI Imaging Data

Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual


The repo for In-context Autoencoder

In-context Autoencoder for Context Compression in a Large Language Model

Efficient Prompting Methods for Large Language Models: A Survey

Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Unifying Demonstration Selection and Compression for In-Context Learning


SpaGE: Spatial Gene Enhancement using scRNA-seq

GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data

SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Zenodo (CERN European Organization for Nuclear Research)

Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM

Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data

SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models


An open-source library for the analysis of protein interactions.

Modeling the Dynamics of Protein–Protein Interfaces, How and Why?

Predicting the Specificity- Determining Positions of Receptor Tyrosine Kinase Axl

Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks


Gated Graph Sequence Neural Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Gated Graph Sequence Neural Networks

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

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


Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Graph Self-Supervised Learning: A Survey

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

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning


Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.

Focused Quantization for Sparse CNNs

Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning


Supervised and RL Models for No Press Diplomacy

No Press Diplomacy: Modeling Multi-Agent Gameplay

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

No-Press Diplomacy from Scratch


Do We Really Need Complicated Model Architectures For Temporal Networks?

Towards Better Dynamic Graph Learning: New Architecture and Unified Library

Recurrent Temporal Revision Graph Networks

On the Generalization Capability of Temporal Graph Learning Algorithms:
  Theoretical Insights and a Simpler Method

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding


Fast & Simple repository for pre-training and fine-tuning T5-style models

The MiniPile Challenge for Data-Efficient Language Models

nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data
  Mixtures for Legal Reasoning

Polyak Meets Parameter-free Clipped Gradient Descent


Pytorch implementation of SIREN -  Implicit Neural Representations with Periodic Activation Function

Implicit Neural Representations with Periodic Activation Functions

Modulated Periodic Activations for Generalizable Local Functional Representations

SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations

Implicit Neural Image Field for Biological Microscopy Image Compression


Baseline method for sound event localization task of DCASE 2022 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training

STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

Two vs. Four-Channel Sound Event Localization and Detection


Accepted by CVPR 2022

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Recurrent Dynamic Embedding for Video Object Segmentation


Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Feature extractor stacking for cross-domain few-shot learning

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners


PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models

KNN-LM Does Not Improve Open-ended Text Generation

knn-seq: Efficient, Extensible kNN-MT Framework


Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Graph neural network for traffic forecasting: A survey

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

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

IEEE Transactions on Intelligent Transportation Systems

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

IEEE transactions on pattern analysis and machine intelligence

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Transportation Research Part C: Emerging Technologies

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Inductive Graph Neural Networks for Spatiotemporal Kriging

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Graph Neural Networks for Intelligent Transportation Systems: A Survey


The BLAKE3 paper: specifications, analysis, and design rationale

Key Event Receipt Infrastructure (KERI)

TPA Auditing to Enhance the Privacy and Security in Cloud Systems

Goldfish: No More Attacks on Ethereum?!


Creative Commons Attribution Share Alike 4.0 International

KwaiRec: A Fully-observed Dataset for Recommender Systems.

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

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

AutoDenoise: Automatic Data Instance Denoising for Recommendations

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization

HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation

Be Aware of the Neighborhood Effect: Modeling Selection Bias under
  Interference


Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Maximum Entropy Deep Inverse Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Learning Soft Constraints From Constrained Expert Demonstrations

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees


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

The Voronoi tessellation method in astronomy

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Kernel-Based Ensemble Learning in Python


BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

ML-Net: multi-label classification of biomedical texts with deep neural networks

Journal of the American Medical Informatics Association : JAMIA

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

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

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)


Few-shot Learning of GPT-3

Language Models are Few-Shot Learners

Calibrate Before Use: Improving Few-Shot Performance of Language Models

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference

Prototypical Calibration for Few-shot Learning of Language Models

Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning

Enhancing In-context Learning via Linear Probe Calibration


Hypergraph Neural Networks (AAAI 2019)

Hypergraph Neural Networks

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

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

From Hypergraph Energy Functions to Hypergraph Neural Networks

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations


Solar Radiation and Photovoltaic Systems with R

Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols


State of the art Semantic Sentence Embeddings

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Semantic Re-tuning with Contrastive Tension

International Conference on Learning Representations

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

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

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

Sentence Embeddings by Ensemble Distillation


A Multilingual Replicable Instruction-Following Model

Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation

Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction

ChatGPT for Arabic Grammatical Error Correction