Hierarchical Text-Conditional Image Generation with CLIP Latents

The Gradient of Generative AI Release: Methods and Considerations

Sociotechnical Safety Evaluation of Generative AI Systems

Evaluating the Social Impact of Generative AI Systems in Systems and Society

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Typology of Risks of Generative Text-to-Image Models

FLIRT: Feedback Loop In-context Red Teaming

Towards best practices in AGI safety and governance: A survey of expert opinion

The Ethics of Advanced AI Assistants

Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?


A Matlab package for Bayes Factor statistical analysis

Stimulus-induced gamma rhythms are weaker in human elderly with mild cognitive impairment and Alzheimer’s disease

Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports

Resolution of impaired multisensory processing in autism and the cost of switching sensory modality

Dynamics of attentional allocation to targets and distractors during visual search

Anterior cingulate and medial prefrontal cortex oscillations underlie learning alterations in trait anxiety in humans

Interhemispheric symmetry of µ-rhythm phase-dependency of corticospinal excitability

Concurrent visual working memory bias in sequential integration of approximate number

Impaired perception of temporal contiguity between action and effect is associated with disorders of agency in schizophrenia

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

Inhibitory temporo-parietal effective connectivity is associated with explicit memory performance in older adults

Action sequence learning, habits, and automaticity in obsessive-compulsive disorder


Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Hidden Trigger Backdoor Attacks

Denoised Smoothing: A Provable Defense for Pretrained Classifiers


MASS: Multi-Attentional Semantic Segmentation ofLiDAR Data for Dense Top-View Understanding

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding


A toolkit for working with ATAC-seq data.

CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis

Analysis of Differentiation Protocols Defines a Common Pancreatic Progenitor Molecular Signature and Guides Refinement of Endocrine Differentiation

A genetic disorder reveals a hematopoietic stem cell regulatory network co-opted in leukemia

Chromatin information content landscapes inform transcription factor and DNA interactions


Embedding Logical Queries on Knowledge Graphs

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

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

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

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

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

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

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

TAR: Neural Logical Reasoning across TBox and ABox

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


Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [2021 8th NAFOSTED Conference on Information and Computer Science]

A Neural Algorithm of Artistic Style

Neural Style Transfer: A Review

Demystifying Neural Style Transfer

DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer

National Foundation for Science and Technology Development Conference on Information and Computer Science

Image Style Transfer and Content-Style Disentanglement


X (weighted / probabilistic) Context-Free Grammars

Compound Probabilistic Context-Free Grammars for Grammar Induction

Unsupervised Recurrent Neural Network Grammars

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

Visually Grounded Neural Syntax Acquisition

Meeting of the Association for Computational Linguistics

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

An Empirical Study of Compound PCFGs


Debiasing Pre-trained Contextualised Embeddings

Benchmarking Intersectional Biases in NLP

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

Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks

DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias


Windowed Adaptive Trimming for fastq files using quality

Novel Roles for the Polyphenol Oxidase Enzyme in Secondary Metabolism and the Regulation of Cell Death in Walnut

Cumulus Cell Transcripts Transit to the Bovine Oocyte in Preparation for Maturation

Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment

DNA-encoded nucleosome occupancy is associated with transcription levels in the human malaria parasite Plasmodium falciparum

The Fumagillin Gene Cluster, an Example of Hundreds of Genes under veA Control in Aspergillus fumigatus

Sequencing the transcriptome of milk production: milk trumps mammary tissue

Comparative transcriptomics of Central Asian Vitis vinifera accessions reveals distinct defense strategies against powdery mildew

Deep Whole-Genome Sequencing to Detect Mixed Infection of Mycobacterium tuberculosis

Genome-Wide Association and Genomic Prediction for Fry Color in Potato

(Per)Chlorate-Reducing Bacteria Can Utilize Aerobic and Anaerobic Pathways of Aromatic Degradation with (Per)Chlorate as an Electron Acceptor


This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units


Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary Task

Findings of the Association for Computational Linguistics: EMNLP 2021

Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task


Code for the CoNLL 2019 paper "Compositional Generalization in Image Captioning" by Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte and Desmond Elliott

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

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Conference on Computational Natural Language Learning


Miscellaneous science/astronomy tools.

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. VI. Radio Constraints on a Relativistic Jet and Predictions for Late-time Emission from the Kilonova Ejecta

DISCOVERY OF AN OUTFLOW FROM RADIO OBSERVATIONS OF THE TIDAL DISRUPTION EVENT ASASSN-14li

Nine-hour X-ray quasi-periodic eruptions from a low-mass black hole galactic nucleus

PS16dtm: A Tidal Disruption Event in a Narrow-line Seyfert 1 Galaxy

Fifteen years of XMM-Newton and Chandra monitoring of Sgr A★: evidence for a recent increase in the bright flaring rate

Monthly Notices of the Royal Astronomical Society

Radio Monitoring of the Tidal Disruption Event Swift J164449.3+573451. III. Late-time Jet Energetics and a Deviation from Equipartition

A Reverse Shock and Unusual Radio Properties in GRB 160625B

EVIDENCE FOR A CO DESORPTION FRONT IN THE OUTER AS 209 DISK

Radio Observations of an Ordinary Outflow from the Tidal Disruption Event AT2019dsg

A Radio Source Coincident with the Superluminous Supernova PTF10hgi: Evidence for a Central Engine and an Analog of the Repeating FRB 121102?


This page is a companion for our paper on overfitting and underfitting of community detection methods on real networks, written by Amir Ghasemian, Homa Hosseinmardi, and Aaron Clauset. (arXiv:1802.10582)

Evaluating Overfit and Underfit in Models of Network Community Structure

IEEE Transactions on Knowledge and Data Engineering

Stacking models for nearly optimal link prediction in complex networks

Community structure: A comparative evaluation of community detection methods


ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

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


Multi-modal Siamese Network for Entity Alignment, SIGKDD 2022

MMKG: Multi-Modal Knowledge Graphs

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

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

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


predict stability change upon mutation

Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset

DDGun: an untrained predictor of protein stability changes upon amino acid variants

Correspondence between functional scores from deep mutational scans and predicted effects on protein stability

Systematically testing human HMBS missense variants to reveal mechanism and pathogenic variation

bioRxiv : the preprint server for biology


One hundred challenge problems for logical formalizations of commonsense psychology

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches

Improving Fluency in Narrative Text Generation With Grammatical Transformations and Probabilistic Parsing

International Conference on Natural Language Generation

Extending Automated Deduction for Commonsense Reasoning


Genealogical Estimation of Variant Age (GEVA)

Dating genomic variants and shared ancestry in population-scale sequencing data

Inference of Coalescence Times and Variant Ages Using Convolutional Neural Networks

Allele age estimators designed for whole genome datasets show only a modest decrease in accuracy when applied to whole exome datasets


SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Evaluating Factuality in Generation with Dependency-level Entailment

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.

Constrained-CNN losses for weakly supervised segmentation

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation


OpenGL Powered Pretext Contact Map Viewer

The genome sequence of the brown trout, Salmo trutta Linnaeus 1758.

A Reference Genome Assembly of American Bison, Bison bison bison

The complete genome sequence of Eimeria tenella (Tyzzer 1929), a common gut parasite of chickens

The genome sequence of the Norway rat, Rattus norvegicus Berkenhout 1769

The genome sequence of the common frog, Rana temporaria Linnaeus 1758

The genome sequence of the painted lady, Vanessa cardui Linnaeus 1758

The genome sequence of the red deer, Cervus elaphus Linnaeus 1758

The genome sequence of the grey wolf, Canis lupus Linnaeus 1758

The genome sequence of the common toad, Bufo bufo (Linnaeus, 1758)

Caecilian Genomes Reveal the Molecular Basis of Adaptation and Convergent Evolution of Limblessness in Snakes and Caecilians


Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)

ANNz2: Photometric Redshift and Probability Distribution Function Estimation using Machine Learning

Publications of the Astronomical Society of the Pacific

Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks

Morpho-z: improving photometric redshifts with galaxy morphology

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

The PAU Survey: narrow-band photometric redshifts using Gaussian processes

Degradation analysis in the estimation of photometric redshifts from non-representative training sets

The environment of QSO triplets at 1 ≲ z ≲ 1.5

Measuring photometric redshifts for high-redshift radio source surveys


The solution for the DeeperForensics Challenge 2020

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Robust Deepfake On Unrestricted Media: Generation And Detection

DeepFakes Detection: the DeeperForensicsDeeperForensics Dataset and Challenge

Handbook of Digital Face Manipulation and Detection


A method of assessing sequence complexity based on kmer frequencies

The stepwise assembly of the neonatal virome is modulated by breastfeeding

Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments

Lifestyle and the presence of helminths is associated with gut microbiome composition in Cameroonians

Microbial Diversity of Co-occurring Heterotrophs in Cultures of Marine Picocyanobacteria

Imaging sensitive and drug-resistant bacterial infection with [11C]-trimethoprim

Interactions between the gut microbiome, dietary restriction, and aging in genetically diverse mice


A retrieval augmented sequence modeling toolkit implemented based on Fairseq

Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Efficient Nearest Neighbor Language Models

Adaptive Nearest Neighbor Machine Translation

Learning Kernel-Smoothed Machine Translation with Retrieved Examples

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

Towards Robust k-Nearest-Neighbor Machine Translation


Quantum algorithms for the simulation of Hamiltonian dynamics.

Toward the first quantum simulation with quantum speedup

Practical Quantum Computing

Empirical determination of the simulation capacity of a near-term quantum computer


An implementation of the Residual Flow algorithm for out-of-distribution detection.

Deep Residual Flow for Out of Distribution Detection

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

A Simple Framework for Uncertainty in Contrastive Learning

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings


Android in the Wild: A Large-Scale Dataset for Android Device Control

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

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

MobileAgent: enhancing mobile control via human-machine interaction and SOP integration


:earth_africa: :pencil: Modelling and forecasting deforestation in the tropics


microRNA PREdiction From small RNA-seq data

MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations

Identification of Exogenous Nitric Oxide-Responsive miRNAs from Alfalfa (Medicago sativa L.) under Drought Stress by High-Throughput Sequencing

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

International journal of molecular sciences


Tools for MRI mouse brain morphometry

In vivo imaging of tau pathology using multi-parametric quantitative MRI

Imaging the accumulation and suppression of tau pathology using multiparametric MRI

Fully-Automated μMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome


PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach


We collected awesome medical image super-resolution (SR) methods and common benchmarks in this repository.

LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

Super-resolution in magnetic resonance imaging: A review

MRI Super-Resolution With Ensemble Learning and Complementary Priors

IEEE Transactions on Computational Imaging

Super-Resolution PET Imaging Using Convolutional Neural Networks

IEEE transactions on computational imaging

Lumbar Spine MRI Dataset


110k Dutch Book Reviews Dataset for Sentiment Analysis

Universal Language Model Fine-tuning for Text Classification

The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews

Evaluating Bias In Dutch Word Embeddings

BPE-knockout: Pruning Pre-existing BPE Tokenisers with Backwards-compatible Morphological Semi-supervision

North American Chapter of the Association for Computational Linguistics


A tool for domain based annotation with databases from the Conserved Domains Database

UPIMAPI, reCOGnizer and KEGGCharter: Bioinformatics tools for functional annotation and visualization of (meta)-omics datasets

Computational and structural biotechnology journal

Long-Chain Fatty Acids Degradation by Desulfomonile Species and Proposal of “Candidatus Desulfomonile Palmitatoxidans”

Effect of Sub-Stoichiometric Fe(III) Amounts on LCFA Degradation by Methanogenic Communities

Genome and Pangenome Analysis of Lactobacillus hilgardii FLUB—A New Strain Isolated from Mead


[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation

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

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

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


Transient Search

A fast radio burst source at a complex magnetised site in a barred galaxy

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

FAST Observations of an Extremely Active Episode of FRB 20201124A. III. Polarimetry

A radio pulsar phase from SGR J1935+2154 provides clues to the magnetar FRB mechanism

TRAPUM upper limits on pulsed radio emission for SMC X-ray pulsar J0058−7218

Monthly notices of the Royal Astronomical Society

TransientX: A high-performance single-pulse search package

An emission-state-switching radio transient with a 54-minute period

An activity transition in FRB 20201124A: methodological rigor, detection
  of frequency-dependent cessation, and a geometric magnetar model


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

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

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

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


HomBlocks: A multiple-alignment construction pipeline for organelle phylogenomics based on locally collinear block searching

Identification of the Complete Chloroplast Genome of Malus zhaojiaoensis Jiang and Its Comparison and Evolutionary Analysis with Other Malus Species

The complete mitochondrial genome of Alternaria alternata (Hypocreales: Nectriaceae)

Chloroplast Genes Are Involved in The Male-Sterility of K-Type CMS in Wheat

Molecular Structure and Variation Characteristics of the Plastomes from Six Malus baccata (L.) Borkh. Individuals and Comparative Genomic Analysis with Other Malus Species

Assembly and comparative analysis of chloroplast genome of wheat K-CMS line and maintainer line


C API drivers for PYNQ FPGA board

A Configurable RO-PUF for Securing Embedded Systems Implemented on Programmable Devices

Multi-Unit Serial Polynomial Multiplier to Accelerate NTRU-Based Cryptographic Schemes in IoT Embedded Systems

On-Line Evaluation and Monitoring of Security Features of an RO-Based PUF/TRNG for IoT Devices

Task-based preemptive scheduling on FPGAs leveraging partial reconfiguration


Data and code accompanying the paper "Reasoning about Goals, Steps, and Temporal Ordering with WikiHow"

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

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

Reasoning about Procedures with Natural Language Processing: A Tutorial

STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing

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


[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses


Approximate linear solution of power flow equations in power distribution networks

On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks

A Necessary Condition for Power Flow Insolvability in Power Distribution Systems With Distributed Generators

Hierarchical and Distributed Monitoring of Voltage Stability in Distribution Networks

A distributed voltage stability margin for power distribution networks

A Framework for Robust Steady-State Voltage Stability of Distribution Systems


Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics†

Molecular Dynamics Simulations and Diversity Selection by Extended Continuous Similarity Indices

Journal of chemical information and modeling

Chemoinformatic Characterization of Synthetic Screening Libraries Focused on Epigenetic Targets

Sampling and Mapping Chemical Space with Extended Similarity Indices


[EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning


This repository is made for the paper: Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

PathVQA: 30000+ Questions for Medical Visual Question Answering

Self-supervised vision-language pretraining for Medical visual question answering

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation


Corpus of Spanish Golden-Age Sonnets (with metrical annotation) / Corpus de Sonetos del Siglo de Oro (con anotación métrica)

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

Towards a Philological Metric through a Topological Data Analysis Approach

Description of Postdata Poetry Ontology V1.0

Tackling the Toolkit: Plotting Poetry through Computational Literary Studies


DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Temporal Predictive Coding For Model-Based Planning In Latent Space

Joint Representations for Reinforcement Learning with Multiple Sensors


Code and hyperparameters for the paper "Generative Adversarial Networks"

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

A scoping review of transfer learning research on medical image analysis using ImageNet

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Deep Feature Learning for EEG Recordings

A review of radar-based nowcasting of precipitation and applicable machine learning techniques

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders

Generative Adversarial Networks in Brain Imaging: A Narrative Review

A deep learning approach to identifying immunogold particles in electron microscopy images

Synthetic polarization-sensitive optical coherence tomography by deep learning


A novel unsupervised batch removal framework, called iMAP, based on neural networks.

iMAP: integration of multiple single-cell datasets by adversarial paired transfer networks

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks


Vector Quantized Autoregressive Predictive Coding (VQ-APC)

An Unsupervised Autoregressive Model for Speech Representation Learning

Vector-Quantized Autoregressive Predictive Coding

DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization

DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning

Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch


Official Repo of SimTeG

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Bridging Local Details and Global Context in Text-Attributed Graphs


[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Integrated monitoring of ice in selected Swiss lakes. Final project report

Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery

Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring

IEEE Transactions on Geoscience and Remote Sensing


Converts an input mesh to a signed distance field (SDF)

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation

QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous
  Manipulations Transfer


A MATLAB class for Mean Square Displacement analysis.

Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines

Substrate adhesion determines migration during mesenchymal cell condensation in chondrogenesis

Matrix topology guides collective cell migration in vivo


ACL 2022: Just Rank: Rethinking Evaluation with Word and Sentence Similarities

WWW - A word at a time: computing word relatedness using temporal semantic analysis

Large-scale learning of word relatedness with constraints


A collection of functions with emphasis on multivariate methods and handling of geographic datasets

Monarch butterfly population decline in North America: identifying the threatening processes

Almond Snacking for 8 wk Increases Alpha-Diversity of the Gastrointestinal Microbiome and Decreases Bacteroides fragilis Abundance Compared with an Isocaloric Snack in College Freshmen

Comparison of Cloud-Filling Algorithms for Marine Satellite Data

ATRPred: A machine learning based tool for clinical decision making of anti-TNF treatment in rheumatoid arthritis patients

Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set

Drivers of ecological assembly in the hindgut of Atlantic Cod fed a macroalgal supplemented diet


This is Research Artifact for DevGPT Dataset

DevGPT: Studying Developer-ChatGPT Conversations

An Empirical Study on Developers Shared Conversations with ChatGPT in
  GitHub Pull Requests and Issues


This is a repository for annotation data for the THYME Project, a clinical natural language processing project dedicated to extracting useful temporal relations from the clinical narrative.

SemEval-2015 Task 6: Clinical TempEval

SemEval-2017 Task 12: Clinical TempEval

Meeting of the Association for Computational Linguistics

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks


The dataset and baseline code for Text-to-Audio Grounding (TAG)

Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events

Towards Weakly Supervised Text-to-Audio Grounding

Investigating Pooling Strategies and Loss Functions for Weakly-Supervised Text-to-Audio Grounding via Contrastive Learning

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

AudioTime: A Temporally-aligned Audio-text Benchmark Dataset


The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning


Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.

Large Batch Training of Convolutional Networks

Large-Batch Training for LSTM and Beyond

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning


SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Do Membership Inference Attacks Work on Large Language Models?

DataComp-LM: In search of the next generation of training sets for
  language models

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion
  Tokens

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal
  Dataset with One Trillion Tokens

Time is Encoded in the Weights of Finetuned Language Models

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore

Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction


Zero-order Reaction Kinetics (Zero-RK) is a software package that simulates chemically reacting systems in a computationally efficient manner.

Faster solvers for large kinetic mechanisms using adaptive preconditioners

Autoignition behavior of gasoline/ethanol blends at engine-relevant conditions

The role of correlations in uncertainty quantification of transportation relevant fuel models

Sparse, iterative simulation methods for one-dimensional laminar flames

Cloud based tool for analysis of chemical kinetic mechanisms

A tangent linear approximation of the ignition delay time. I: Sensitivity to rate parameters

A computationally-efficient method for flamelet calculations


Towards Unbounded Machine Unlearning

Towards Adversarial Evaluations for Inexact Machine Unlearning

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

CaMU: Disentangling Causal Effects in Deep Model Unlearning

Faster Machine Unlearning via Natural Gradient Descent


This project is a tool to build CheXNet-like models, written in Keras.

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

An Aggregate Method for Thorax Diseases Classification

Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs

Journal of medical imaging (Bellingham, Wash.)

A generalized deep learning model for multi-disease Chest X-Ray diagnostics


Public Code for ICS Evasion Attack Generation

A Survey on Industrial Control System Testbeds and Datasets for Security Research

IEEE Communications Surveys and Tutorials

Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems

Asia-Pacific Computer Systems Architecture Conference

No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems


Fast Doyle-Fuller-Newman (DFN) Electrochemical-Thermal Battery Model Simulator

An asymptotic derivation of a single particle model with electrolyte

A Suite of Reduced-Order Models of a Single-Layer Lithium-ion Pouch Cell

Asymptotic Reduction of a Lithium-ion Pouch Cell Model

Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics

Modelling electrode heterogeneity in lithium-ion batteries: unimodal and bimodal particle-size distributions

MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling


Keras Implementation Residual Attention Network

Deep Residual Learning for Image Recognition

Identity Mappings in Deep Residual Networks

Residual Attention Network for Image Classification


Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz

Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets

Insect Cyborgs: Bio-mimetic Feature Generators Improve ML Accuracy on Limited Data

Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data


ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Improving Signed Propagation for Graph Neural Networks


Derive the optimal cache hit ratio for Internet request traces with variable object sizes.

Practical Bounds on Optimal Caching with Variable Object Sizes

Proceedings of the ACM on Measurement and Analysis of Computing Systems

LeadCache: Regret-Optimal Caching in Networks

Online Caching with Optimal Switching Regret


MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armed bandit (MAB) problem, by treating each action-content pair as an independent slot machine.

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

Creating Valid Adversarial Examples of Malware

Statically Detecting Adversarial Malware through Randomised Chaining

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning


Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer

Detection of neoantigen-specific T cells following a personalized vaccine in a patient with glioblastoma

Comprehensive Analysis of Subtype-Specific Molecular Characteristics of Colon Cancer: Specific Genes, Driver Genes, Signaling Pathways, and Immunotherapy Responses

Frontiers in cell and developmental biology

Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors

Atherosclerotic plaque vulnerability quantification system for clinical and biological interpretability

Multi-Omics Perspective Reveals the Different Patterns of Tumor Immune Microenvironment Based on Programmed Death Ligand 1 (PD-L1) Expression and Predictor of Responses to Immune Checkpoint Blockade across Pan-Cancer

International journal of molecular sciences

A SERPINE1-Based Immune Gene Signature Predicts Prognosis and Immunotherapy Response in Gastric Cancer


PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

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

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft

Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects


[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

An Empirical Study on Disentanglement of Negative-free Contrastive Learning


Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems

Scaling Graph-based Deep Learning models to larger networks


A Fisher information matrix python package for GW detector networks.

Forecasting the Detection Capabilities of Third-generation Gravitational-wave Detectors Using GWFAST

GWFAST: A Fisher Information Matrix Python Code for Third-generation Gravitational-wave Detectors

Gravitational-wave cosmology with dark sirens: state of the art and perspectives for 3G detectors

Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022)

Inferring, not just detecting: Metrics for high-redshift sources observed with third-generation gravitational-wave detectors

Multi-messenger prospects for black hole - neutron star mergers in the O4 and O5 runs

Accurate standard siren cosmology with joint gravitational-wave and γ-ray burst observations

Measuring Mass and Radius of the Maximum-mass Nonrotating Neutron Star


QAFactEval Summarization Factual Consistency Metric

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

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

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Proceedings of the 5th Clinical Natural Language Processing Workshop

Automatically Evaluating Opinion Prevalence in Opinion Summarization


A webpage for the scattering transform. To calculate, you just need the folder called "scattering".

Weak lensing scattering transform: dark energy and neutrino mass sensitivity

Monthly Notices of the Royal Astronomical Society

How to quantify fields or textures? A guide to the scattering transform

Can diffusion model conditionally generate astrophysical images?

Monthly notices of the Royal Astronomical Society

Scattering spectra models for physics

How informative are summaries of the cosmic 21-cm signal?


A formalized proof of a version of the initiality conjecture

The Univalence Principle

The Hurewicz theorem in homotopy type theory

Central H-spaces and banded types

Characterizations of modalities and lex modalities

Type-Theoretic Signatures for Algebraic Theories and Inductive Types

Ext groups in Homotopy Type Theory

Construction of the Circle in UniMath


Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)

Recommendations for Processing Head CT Data

Predicting Post-Stroke Somatosensory Function from Resting-State Functional Connectivity: A Feasibility Study

The central role of the left inferior longitudinal fasciculus in the face‐name retrieval network

A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage


A nicely formatted LaTeX preprint template

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

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

Did the Musk Takeover Boost Contentious Actors on Twitter?

A Tutorial on Parametric Variational Inference

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

Toxic comments reduce the activity of volunteer editors on Wikipedia

CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data

Multiscale Biomolecular Simulations in the Exascale Era

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


Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

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


Style Transfer from Non-Parallel Text by Cross-Alignment

Unsupervised Text Style Transfer using Language Models as Discriminators

Deep Learning for Text Style Transfer: A Survey

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

Reinforced Rewards Framework for Text Style Transfer

Multi-type Disentanglement without Adversarial Training

DGSAN: Discrete Generative Self-Adversarial Network

Effective writing style imitation via combinatorial paraphrasing

Syntax Matters! Syntax-Controlled in Text Style Transfer

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization


DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)

Deep Joint Entity Disambiguation with Local Neural Attention

Key Mention Pairs Guided Document-Level Relation Extraction

International Conference on Computational Linguistics

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)


Quick Start Guide for MARIDA (Marine Debris Archive)

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data


Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.

Densely Connected Convolutional Networks

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

An annotation-based approach for finding bugs in neural network programs


Algorithm for the inference of cell types from single-cell RNA-seq data.

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes

Computational approaches for interpreting scRNA-seq data

Digital Cell Atlas of Mouse Uterus: From Regenerative Stage to Maturational Stage


CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey

CANShield: Deep-Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal Level

Detecting Message Modification Attacks on the CAN Bus with Temporal Convolutional Networks

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems

Addressing the Lack of Comparability & Testing in CAN Intrusion Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset


Surfel-based Mapping for 3d Laser Range Data (SuMa)

A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments

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

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


NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

Proceedings of the 30th ACM International Conference on Multimedia

Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations


A Python package for hubness analysis and high-dimensional data mining

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces

Fast Approximate Hubness Reduction for Large High-Dimensional Data

International Conference on Big Knowledge

scikit-hubness: Hubness Reduction and Approximate Neighbor Search


AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Improving Text-to-Image Synthesis Using Contrastive Learning


Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".

Deep Anomaly Detection Using Geometric Transformations

Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

Towards Practical Unsupervised Anomaly Detection on Retinal Images

Medical Image Computing and Computer-Assisted Intervention

Perceptual Image Anomaly Detection


BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

Direct Feedback Alignment Provides Learning in Deep Neural Networks

How Important Is Weight Symmetry in Backpropagation?

Random feedback weights support learning in deep neural networks

Biologically-plausible learning algorithms can scale to large datasets

Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms

Deep Learning without Weight Symmetry


About The official GitHub page for ''Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models''  Resources

Recommender Systems in the Era of Large Language Models (LLMs)

Concept -- An Evaluation Protocol on Conversation Recommender Systems
  with System- and User-centric Factors

How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation


Learning from synthetic data - code and models

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

Scaling Laws of Synthetic Images for Model Training ... for Now

Learning Vision from Models Rivals Learning Vision from Data


2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

The Gaia–Kepler Stellar Properties Catalog. II. Planet Radius Demographics as a Function of Stellar Mass and Age

Mimicking the halo–galaxy connection using machine learning

An observational correlation between magnetic field, angular momentum and fragmentation in the envelopes of Class 0 protostars?

Cosmological coupling of nonsingular black holes

Statistical analysis of cavitation erosion impacts in a vibratory apparatus with copulas

IOP Conference Series: Earth and Environmental Science

Diagnostic diagrams for ram-pressure stripped candidates


Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs

Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs

Human sperm displays rapid responses to diet

SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA- and tRNA-derived Small RNAs

基因组蛋白质组与生物信息学报

Angiogenin mediates paternal inflammation-induced metabolic disorders in offspring through sperm tsRNAs

Emerging evidence that the mammalian sperm epigenome serves as a template for embryo development

Paternal multigenerational exposure to an obesogenic diet drives epigenetic predisposition to metabolic diseases in mice

Paternal High-Protein Diet Programs Offspring Insulin Sensitivity in a Sex-Specific Manner

Testicular “Inherited Metabolic Memory” of Ancestral High-Fat Diet Is Associated with Sperm sncRNA Content

Intergenerational effect of short-term spaceflight in mice

tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application


Self-attentive Associative Memory & SAM-based Two-Memory Model

Self-Attentive Associative Memory

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking


Lung and Colon Cancer Histopathological Image Dataset (LC25000)

A Hybrid Framework for Lung Cancer Classification

Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing

Computational Pathology: A Survey Review and The Way Forward


r:trån is a road space model transformer library for OpenDRIVE, CityGML and beyond

CITYGML AND THE STREETS OF NEW YORK -A PROPOSAL FOR DETAILED STREET SPACE MODELLING

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model

ISPRS International Journal of Geo-Information

Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems

REQUIREMENT ANALYSIS OF 3D ROAD SPACE MODELS FOR AUTOMATED DRIVING


Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

What Are Tools Anyway? A Survey from the Language Model Perspective


A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data

Towards a predictive spatio-temporal representation of brain data

A deep spatiotemporal graph learning architecture for brain connectivity analysis

International Conference of the IEEE Engineering in Medicine and Biology Society


Inference of high-quality embeddings of complex networks into the hyperbolic disk.

Mercator: uncovering faithful hyperbolic embeddings of complex networks

The inherent community structure of hyperbolic networks

Hyperbolic disc embedding of functional human brain connectomes using resting-state fMRI

Embedding-aided network dismantling

Hyperbolic mapping of human proximity networks

Topology and Geometry of the Third-Party Domains Ecosystem


Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Bayesian Recurrent Neural Networks

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness

Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers

Deep Deterministic Uncertainty: A Simple Baseline


PyTorch Code for "PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-sharpening". TGRS 2021

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review


Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size

Routing Arena: A Benchmark Suite for Neural Routing Solvers

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization


Using TCR and expression for sequence embedding

TCR-independent CD137 (4-1BB) signaling promotes CD8+-exhausted T cell proliferation and terminal differentiation.


A defunct and ancient set of python bindings for Pairing Based Cryptography

BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation

Lightweight Fine-Grained Access Control for Wireless Body Area Networks

Federated Online/Offline Remote Data Inspection for Distributed Edge Computing


RF-Score-VS - Random forest based protein-ligand scoring function for Virtual Screening

Performance of machine-learning scoring functions in structure-based virtual screening

In Silico Screening of Available Drugs Targeting Non-Small Cell Lung Cancer Targets: A Drug Repurposing Approach

Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy

Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer—Fragment Based Drug Design Strategy


PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning

Variational Policy Propagation for Multi-agent Reinforcement Learning


SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

IEEE Transactions on Dependable and Secure Computing

PreNNsem: A Heterogeneous Ensemble Learning Framework for Vulnerability Detection in Software

An Investigation of Quality Issues in Vulnerability Detection Datasets

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

AdVulCode: Generating Adversarial Vulnerable Code against Deep Learning-Based Vulnerability Detectors


XVERSE-7B: A multilingual large language model developed by XVERSE Technology Inc.

Measuring Massive Multitask Language Understanding

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models


Symmetric evaluation set based on the FEVER (fact verification) dataset

Towards Debiasing Fact Verification Models

Increasing Robustness to Spurious Correlations using Forgettable Examples

Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning

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

Uncertainty Calibration for Ensemble-Based Debiasing Methods

Feature-Level Debiased Natural Language Understanding

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models


structural analysis of neonatal brain MRI scans

Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain

Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Comprehensive volumetric phenotyping of the neonatal brain in Down syndrome

The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

High resolution and contrast 7 tesla MR brain imaging of the neonate

Surface Generative Modelling of Neurodevelopmental Trajectories


Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

An optimal control perspective on diffusion-based generative modeling

Score-Based Diffusion meets Annealed Importance Sampling

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling


An implementation of the Goodman & Weare MCMC sampler for matlab

Tracing the stellar component of low surface brightness Milky Way dwarf galaxies to their outskirts

In Situ Determination of Droplet and Nanoparticle Size Distributions in Spray Flame Synthesis by Wide-Angle Light Scattering (WALS)

Variable stars in Local Group galaxies - V. The fast and early evolution of the low-mass Eridanus II dSph galaxy

Revisiting the luminosity and redshift distributions of long gamma-ray bursts

Constraining Cosmological Parameters Using the Cluster Mass–Richness Relation

Probabilistic Inversions for Time–Distance Helioseismology

The Stellar-mass Function of Long Gamma-Ray Burst Host Galaxies

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo


EvaluationToolBox for Camouflaged Object Detection Task

Camouflaged Object Detection

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Boundary-Aware Segmentation Network for Mobile and Web Applications

MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing


Official code of The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Learning Delicate Local Representations for Multi-Person Pose Estimation

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems

AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation

3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera

How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue.


Indels are not ideal - quick test for interrupted ORFs in bacterial/microbial genomes

Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery

Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces

Complete Reference Genome Assembly for Commensalibacter sp. Strain AMU001, an Acetic Acid Bacterium Isolated from the Gut of Honey Bees

Presence of optrA-mediated linezolid resistance in multiple lineages and plasmids of Enterococcus faecalis revealed by long read sequencing

Complete or High-Quality Draft Genome Sequences of Six Xanthomonas hortorum Strains Sequenced with Short- and Long-Read Technologies

Complete Genome Sequence of Streptococcus pneumoniae Strain Rx1, a Hex Mismatch Repair-Deficient Standard Transformation Recipient

The StkSR Two-Component System Influences Colistin Resistance in Acinetobacter baumannii

Complete Genome Sequence of Lactobacillus crispatus Type Strain ATCC 33820

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Complete Genome Sequences of Mycobacterium chimaera Strains 850 and 852, Isolated from Heater-Cooler Unit Water


Single View Geocentric Pose

Learning Geocentric Object Pose in Oblique Monocular Images

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Single View Geocentric Pose in the Wild

Disentangled Latent Transformer for Interpretable Monocular Height Estimation


Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

Classification with costly features as a sequential decision-making problem

Generator Assisted Mixture of Experts For Feature Acquisition in Batch


CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances


Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation

ACM Transactions on Asian and Low-Resource Language Information Processing

Low-Resource Response Generation with Template Prior

Empirical Methods in Natural Language Processing

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Relevance-Promoting Language Model for Short-Text Conversation

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


Efficient Markov Chain word alignment

Multilingual Projection for Parsing Truly Low-Resource Languages

Transactions of the Association for Computational Linguistics

Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering

Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools

Meeting of the Association for Computational Linguistics

CEA LIST: Processing Low-Resource Languages for CoNLL 2018


Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Drosophila melanogaster S2 cells

Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq

Enhancer–core-promoter specificity separates developmental and housekeeping gene regulation

Transcriptional cofactors display specificity for distinct types of core promoters

Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution

STARR‐seq and UMI‐STARR‐seq: Assessing Enhancer Activities for Genome‐Wide‐, High‐, and Low‐Complexity Candidate Libraries

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers

Enhancers display constrained sequence flexibility and context-specific modulation of motif function


core  code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Hiding Images in Deep Probabilistic Models

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding


NASA Cleaned Defect Datasets

Software Defect Prediction Using Variant based Ensemble Learning and Feature Selection Techniques

International Journal of Modern Education and Computer Science

Software defect prediction using Binary Particle Swarm Optimization with Binary Cross Entropy as the fitness function

Dimensional Reduction on Cross Project Defect Prediction

Tackling Imbalanced Class on Cross-Project Defect Prediction Using Ensemble SMOTE

IOP Conference Series: Materials Science and Engineering

Ensemble Undersampling to Handle Unbalanced Class on Cross-Project Defect Prediction

The Integrity of Machine Learning Algorithms against Software Defect Prediction

Feature Selection in Cross-Project Software Defect Prediction

Penerapan PSO Over Sampling Dan Adaboost Random Forest Untuk Memprediksi Cacat Software

Indonesian Journal on Software Engineering (IJSE)

Optimizing Software Defect Prediction Models: Integrating Hybrid Grey Wolf and Particle Swarm Optimization for Enhanced Feature Selection with Popular Gradient Boosting Algorithm

Journal of Electronics, Electromedical Engineering, and Medical Informatics


repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Galaxy morphology classification using neural ordinary differential equations

Latent Time Neural Ordinary Differential Equations

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control


TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.

Deep Residual Learning for Image Recognition

Feature Pyramid Networks for Object Detection

FOTS: Fast Oriented Text Spotting with a Unified Network


Brain Tomur Classification Using Pre-trained Models


Deep Learning on Graphs: A Survey

3D Graph Neural Networks for RGBD Semantic Segmentation

International Conference on Computer Vision

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


A Detection Toolbox for Tensorflow2

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

Mask R-CNN

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Rethinking Atrous Convolution for Semantic Image Segmentation

Wide Residual Networks


中文常用停用词表（哈工大停用词表、百度停用词表等）

Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

Reproducibility Issues for BERT-based Evaluation Metrics

CHAMP: Characterizing Undesired App Behaviors from User Comments based on Market Policies

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

Classification and Causes Identification of Chinese Civil Aviation Incident Reports

Unraveling the Mystery of Artifacts in Machine Generated Text

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

"Help! Can You Hear Me?": Understanding How Help-Seeking Posts are Overwhelmed on Social Media during a Natural Disaster

Emoji-based Co-attention Network for Microblog Sentiment Analysis


Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

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

LayeredMAPF: a decomposition of MAPF instance without compromising
  solvability


DeepCRISPR: optimized CRISPR guide RNA design by deep learning

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

Computational and structural biotechnology journal

A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction


R Package for Aligned Rank Transform for Nonparametric Factorial ANOVAs

Oscillatory brain activity in spontaneous and induced sleep stages in flies

Anodal tDCS over the primary motor cortex improves motor imagery benefits on postural control: A pilot study

Fine root production in a chronosequence of mature reforested mangroves

Resource and dependency based test case generation for RESTful Web services

Robust DNA protocols for tropical soils

Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions

Anti-noise window: Subjective perception of active noise reduction and effect of informational masking

Trash Dance: Anthropogenic Litter and Organic Matter Co-Accumulate on Urban Beaches

Communication of Uncertainty about Preliminary Evidence and the Spread of Its Inferred Misinformation during the COVID-19 Pandemic—A Weibo Case Study

International journal of environmental research and public health

Optimal Combination of Anodal Transcranial Direct Current Stimulations and Motor Imagery Interventions


A parallel-tempered version of emcee.

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Monthly Notices of the Royal Astronomical Society

Multisystem Bayesian constraints on the transport coefficients of QCD matter

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

Deep Exploration of the Planets HR 8799 b, c, and d with Moderate-resolution Spectroscopy

The COS Absorption Survey of Baryon Harbors: unveiling the physical conditions of circumgalactic gas through multiphase Bayesian ionization modelling

Bayesian quantification of strongly interacting matter with color glass condensate initial conditions

GRAVITY K-band spectroscopy of HD 206893 B: brown dwarf or exoplanet

Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions

Implications of Grain Size Distribution and Composition for the Correlation between Dust Extinction and Emissivity

VVV-WIT-08: the giant star that blinked


Pytorch implementation of One-Shot Affordance Detection

One-Shot Object Affordance Detection in the Wild

One-Shot Affordance Detection

Phrase-Based Affordance Detection via Cyclic Bilateral Interaction


Source code for "Transforming Question Answering Datasets Into Natural Language Inference Datasets"

Memory-Based Model Editing at Scale

CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment


[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Temporal Memory Relation Network for Workflow Recognition From Surgical Video

On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis

Metrics Matter in Surgical Phase Recognition

Self-Knowledge Distillation for Surgical Phase Recognition


Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

Deep Learning in Single-Cell Analysis

scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration


AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy


Parallelizing DRL for Active Flow control

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Robust and adaptive deep reinforcement learning for enhancing flow control around a square cylinder with varying Reynolds numbers

Deep reinforcement learning-based active flow control of an elliptical cylinder: Transitioning from an elliptical cylinder to a circular cylinder and a flat plate

Effect of synthetic jets actuator parameters on deep reinforcement learning-based flow control performance in a square cylinder


PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Deep Learning on Graphs: A Survey

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Compact Graph Structure Learning via Mutual Information Compression

Learning Strong Graph Neural Networks with Weak Information

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

A Generalized Neural Diffusion Framework on Graphs

Robust Graph Representation Learning for Local Corruption Recovery

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

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


SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Learning to Perturb Word Embeddings for Out-of-distribution QA

Feature-aware conditional GAN for category text generation

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification

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

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


A micro-benchmark suite to assess the effectiveness of tools designed for IoT apps

TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems

HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps

VISCR: Intuitive & Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures

A Mutation Framework for Evaluating Security Analysis tools in IoT Applications

VetIoT: On Vetting IoT Defenses Enforcing Policies at Runtime


Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper: https://arxiv.org/abs/2110.09958

FSD50K: An Open Dataset of Human-Labeled Sound Events

FMA: A Dataset For Music Analysis

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks


Histology processing

Behavioral origin of sound-evoked activity in mouse visual cortex

Mouse frontal cortex mediates additive multisensory decisions

Structural and functional map for forelimb movement phases between cortex and medulla

Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus

Spatial Atlas of the Mouse Central Nervous System at Molecular Resolution

An adaptable, reusable, and light implant for chronic Neuropixels probes

Tools for accurate post hoc determination of marker location within whole-brain microscopy images

Reward modulates visual responses in the superficial superior colliculus of mice


Papers and online resources related to machine learning fairness

A Survey on Bias and Fairness in Machine Learning

Certifying and removing disparate impact

Mitigating Unwanted Biases with Adversarial Learning

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

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

InFoRM: Individual Fairness on Graph Mining

Fairway: A Way to Build Fair ML Software

Individual Fairness for Graph Neural Networks: A Ranking based Approach


Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Mitigating Dataset Bias by Using Per-sample Gradient

Sufficient Invariant Learning for Distribution Shift

Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels


DTVNet: Dynamic Time-lapse Video Generation via Single Still Image, ECCV'20 Spotlight.

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Stochastic Image-to-Video Synthesis using cINNs


Solver for Large-Scale Rank-One Semidefinite Relaxations

LMI Properties and Applications in Systems, Stability, and Control Theory

A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization


Dataset + classifier tools to study social perception biases in natural language generation

The Woman Worked as a Babysitter: On Biases in Language Generation

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Societal Biases in Language Generation: Progress and Challenges

Towards Controllable Biases in Language Generation

Fairness Testing: A Comprehensive Survey and Analysis of Trends

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation


RECOD Titans participation at the ISBI 2017 challenge - Part 3

Knowledge Transfer for Melanoma Screening with Deep Learning

International Symposium on Biomedical Imaging

RECOD Titans at ISIC Challenge 2017

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results.

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening


A collection of datasets originally distributed in R packages

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

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

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison

Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance


Incremental construction of FM-index for DNA sequences

Fast construction of FM-index for long sequence reads

Burrows-Wheeler transform for terabases

Efficient Construction of the BWT for Repetitive Text Using String Compression

Computing the optimal BWT of very large string collections

A New Class of String Transformations for Compressed Text Indexing


The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".

Semantic-Aware Implicit Template Learning via Part Deformation Consistency


Max-value Entropy Search for Efficient Bayesian Optimization

Adversarially Robust Optimization with Gaussian Processes

Multi-Fidelity Bayesian Optimization via Deep Neural Networks

On a New Improvement-Based Acquisition Function for Bayesian Optimization

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures

Robust expected improvement for Bayesian optimization

Modulating Surrogates for Bayesian Optimization


Reinforcement Learning via Supervised Learning

RvS: What is Essential for Offline RL via Supervised Learning?

Direct Preference-based Policy Optimization without Reward Modeling

Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning


list of brain networks ready to be downloaded for your brainhacking pleasure

BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics

Whole-animal connectomes of both Caenorhabditis elegans sexes

Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication

Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

A Functional Cartography of Cognitive Systems

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

High-resolution data-driven model of the mouse connectome

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome

A macaque connectome for large-scale network simulations in TheVirtualBrain

A whole-cortex probabilistic diffusion tractography connectome


Based on the mmdetection framework, compute various salience maps for object detection.

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

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Black-box Explanation of Object Detectors via Saliency Maps


A toy example of VAE-regression network

Variational AutoEncoder For Regression: Application to Brain Aging Analysis

Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis


DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

A brief review of protein–ligand interaction prediction

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

Biclique extension as an effective approach to identify missing links in metabolic compound–protein interaction networks


Some recent Quantizing techniques on PyTorch

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Convolutional Neural Networks using Logarithmic Data Representation


NanigoNet — Language detector for code-mixed input supporting 150+19 human+programming languages using deep neural networks

Deep Residual Learning for Image Recognition

Language Modeling with Gated Convolutional Networks

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors


Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

A Survey on Causal Inference

Causal Knowledge Guided Societal Event Forecasting


Channel Reconstruction Network implemented in PyTorch

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems

CLNet: Complex Input Lightweight Neural Network Designed for Massive MIMO CSI Feedback


Official Implementation of Safe Latent Diffusion for Text2Image

Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

MACE: Mass Concept Erasure in Diffusion Models

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications


【ICCV'2023】What Can Simple Arithmetic Operations Do for Temporal Modeling?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

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

Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning


This repository is the official implementation of "DTL: Disentangled Transfer Learning for Visual Recognition", which is accepted by AAAI 2024.

LoRA: Low-Rank Adaptation of Large Language Models

Parameter-Efficient Transfer Learning for NLP

Visual Prompt Tuning


Behavior From the Void: Unsupervised Active Pre-Training

URLB: Unsupervised Reinforcement Learning Benchmark

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

A Mixture of Surprises for Unsupervised Reinforcement Learning

Learning to Discover Skills through Guidance

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning


A curated list of awesome serverless research works, including papers and open-sourced projects.

Pocket: Elastic Ephemeral Storage for Serverless Analytics.

Catalyzer: Sub-millisecond Startup for Serverless Computing with Initialization-less Booting

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Cloudburst: Stateful Functions-as-a-Service

Architectural Implications of Function-as-a-Service Computing

Sprocket

Characterizing serverless platforms with serverlessbench

Benchmarking, analysis, and optimization of serverless function snapshots

International Conference on Architectural Support for Programming Languages and Operating Systems

EuroSys - SEUSS: skip redundant paths to make serverless fast

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Formal foundations of serverless computing

Proceedings of the ACM on Programming Languages

Replayable Execution Optimized for Page Sharing for a Managed Runtime Environment

Proceedings of the Fourteenth EuroSys Conference 2019


VGGFace2: A dataset for recognising faces across pose and age

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results

Towards a Reliable Face Recognition System

Proceedings of the international neural networks society

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes


[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

U-Net: Convolutional Networks for Biomedical Image Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights


Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)

Unbiased Scene Graph Generation from Biased Training

PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation

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


Filteraugment: An Acoustic Environmental Data Augmentation Method

Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection

Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4


JavaScript RISC-V ISA Simulator. Boots linux in a web-browser.


The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

Trusted Multi-View Classification

A Variational Information Bottleneck Approach to Multi-Omics Data Integration


Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing, ECCV, 2020. (Spotlight)

Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks

RegBN: Batch Normalization of Multimodal Data with Regularization


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

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Masked Language Model Scoring

Meeting of the Association for Computational Linguistics

Evaluation of HTR models without Ground Truth Material

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

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

Paraphrasing Compound Nominalizations

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

Zero-shot hashtag segmentation for multilingual sentiment analysis

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

Unsupervised Paraphrasability Prediction for Compound Nominalizations

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


Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations


The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization


[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

Zenodo (CERN European Organization for Nuclear Research)

HUNTER: AI based holistic resource management for sustainable cloud computing

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems

GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments


Zero-shot dialogue state tracking (DST)

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking

Zero-Shot Dialogue State Tracking via Cross-Task Transfer


This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.

Illiterate DALL-E Learns to Compose

Bridging the Gap to Real-World Object-Centric Learning

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation

OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning


Open dataset of machine extracted buildings in Uganda and Tanzania

Classifying settlement types from multi-scale spatial patterns of building footprints

Environment and Planning B: Urban Analytics and City Science

Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment at Thirty Refugee Settlements in Uganda

Satellite-Based Human Settlement Datasets Inadequately Detect Refugee Settlements: A Critical Assessment of Area, Accuracy, and Agreement at Thirty Refugee Settlements in Uganda


NetworkX-based Python library for representing ontologies

Ontology-based information content computation

An ontology-based measure to compute semantic similarity in biomedicine

Semantic similarity estimation in the biomedical domain: An ontology-based information-theoretic perspective

A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain

Semantic similarity and machine learning with ontologies

Semantic similarity in the biomedical domain: an evaluation across knowledge sources

ontologyX: a suite of R packages for working with ontological data

Disjunctive shared information between ontology concepts: application to Gene Ontology

Leveraging synonymy and polysemy to improve semantic similarity assessments based on intrinsic information content

An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology

Journal of the Association for Information Science and Technology


Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials

Learning local equivariant representations for large-scale atomistic dynamics

Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size

Spin-Dependent Graph Neural Network Potential for Magnetic Materials

DPA-2: Towards a universal large atomic model for molecular and material simulation

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

Transferable Water Potentials Using Equivariant Neural Networks

Beyond MD17: the reactive xxMD dataset


Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

Critical Regularizations for Neural Surface Reconstruction in the Wild

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips


A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

Applications of Deep Learning in Fundus Images: A Review

Review of Machine Learning Applications Using Retinal Fundus Images

Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach

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

Common and Rare Fundus Diseases Identification Using Vision-Language
  Foundation Model with Knowledge of Over 400 Diseases


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

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

Comprehensive Information Integration Modeling Framework for Video Titling

Poet: Product-oriented Video Captioner for E-commerce

Fashion Landmark Detection and Category Classification for Robotics


An accurate and ultra-fast hybrid genome assembler

HASLR: Fast Hybrid Assembly of Long Reads

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology

WENGAN: Efficient and high quality hybrid de novo assembly of human genomes

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


A set of functions to visualise genotypes based on a VCF

A large and diverse autosomal haplotype is associated with sex-linked colour polymorphism in the guppy

Homozygosity at its Limit: Inbreeding Depression in Wild Arabidopsis arenosa Populations

Deleterious phenotypes in wild Arabidopsis arenosa populations are common and linked to runs of homozygosity

Evolutionary genomics of socially polymorphic populations of Pogonomyrmex californicus


Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper

Poincaré GloVe: Hyperbolic Word Embeddings

Embedding Words in Non-Vector Space with Unsupervised Graph Learning

Cross-lingual Word Embeddings in Hyperbolic Space

Review-Based Cross-Domain Recommendation via Hyperbolic Embedding and
  Hierarchy-Aware Domain Disentanglement


Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

A Simple Framework for Uncertainty in Contrastive Learning

Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss

Ensemble-Based Out-of-Distribution Detection


Pytorch Implementation of OpenAI's PixelCNN++

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

Input complexity and out-of-distribution detection with likelihood-based generative models

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors

Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics

Unsupervised Out-of-Distribution Detection with Batch Normalization

On the relation between statistical learning and perceptual distances

Predictive Sampling with Forecasting Autoregressive Models

Model-agnostic out-of-distribution detection using combined statistical tests

Deep Learning-based Image Compression with Trellis Coded Quantization


TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Heuristic rank selection with progressively searching tensor ring network

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks


A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation

A framework for information extraction from tables in biomedical literature

International Journal on Document Analysis and Recognition (IJDAR)

The Colorado Richly Annotated Full Text (CRAFT) Corpus: Multi-Model Annotation in the Biomedical Domain

Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.

Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text


Python implementation of the Method of Moving Asymptotes (MMA)

Topology optimization including a model of the layer-by-layer additive manufacturing process

Computer Methods in Applied Mechanics and Engineering

Topology Optimization of self-contacting structures

Topology optimization of contact-aided thermo-mechanical regulators


An optimizer that trains as fast as Adam and as good as SGD.

Adaptive Gradient Methods with Dynamic Bound of Learning Rate

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

On the Convergence of AdaBound and its Connection to SGD

Adaptive hierarchical hyper-gradient descent

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity


Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

Cross-Modal Sentiment Sensing with Visual-Augmented Representation and Diverse Decision Fusion

VisdaNet: Visual Distillation and Attention Network for Multimodal Sentiment Classification

UsbVisdaNet: User Behavior Visual Distillation and Attention Network for Multimodal Sentiment Classification


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

Scaling Instruction-Finetuned Language Models

Multimodal Chain-of-Thought Reasoning in Language Models

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

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

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

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks