Causal Effect Inference with Deep Latent-Variable Models

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

Transfer Learning for Causal Sentence Detection

Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding


Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Federated Optimization in Heterogeneous Networks

Adaptive Personalized Federated Learning

Find Your Friends: Personalized Federated Learning with the Right Collaborators

Characterizing Internal Evasion Attacks in Federated Learning

A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy


Linear kinetic theory propagator for initial conditions of heavy ion collisions

Matching the non-equilibrium initial stage of heavy ion collisions to hydrodynamics with QCD kinetic theory

Proceedings of XIII Quark Confinement and the Hadron Spectrum — PoS(Confinement2018)

Hydrodynamic Attractors, Initial State Energy, and Particle Production in Relativistic Nuclear Collisions

Hydrodynamization and nonequilibrium Green’s functions in kinetic theory

Entropy production in pp and Pb-Pb collisions at the LHC

Pre-equilibrium photons from the early stages of heavy-ion collisions

Initial conditions for nuclear collisions: theory overview

Scaling of pre-equilibrium dilepton production in QCD Kinetic Theory

Early time dynamics and hard probes in heavy-ion collisions


Flexible local Fourier analysis library.

Automated Local Fourier Analysis (aLFA)

Optimizing Geometric Multigrid Methods with Evolutionary Computation


Tools to Conduct Meteorological Normalisation on Air Quality Data

A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region


Deep Music Analogy Via Latent Representation Disentanglement

Learning Interpretable Representation for Controllable Polyphonic Music Generation

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Audio-To-Symbolic Arrangement Via Cross-Modal Music Representation Learning


Deep Comprehensive Correlation Mining

Deep Comprehensive Correlation Mining for Image Clustering

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

Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning


The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Text Length Adaptation in Sentiment Classification


DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization

Power Law in Sparsified Deep Neural Networks


Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Improving robustness against common corruptions by covariate shift adaptation

Test-Time Adaptation via Self-Training with Nearest Neighbor Information

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition


[NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models

SeTAR: Out-of-Distribution Detection with Selective Low-Rank
  Approximation


Japanese--Russian--English News Commentary Parallel Data

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Overview of the 6th Workshop on Asian Translation

Pacific Asia Conference on Language, Information and Computation

Overview of the 7th Workshop on Asian Translation

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation


Datasets for EMNLP-IJCNLP 2019 paper "NCLS:Neural Cross-Lingual Summarization"

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

NCLS: Neural Cross-Lingual Summarization

A Variational Hierarchical Model for Neural Cross-Lingual Summarization

Multi-Task Learning for Cross-Lingual Abstractive Summarization

To Adapt or to Fine-tune: A Case Study on Abstractive Summarization


On the Inference Calibration of Neural Machine Translation

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation

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


GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

Monthly Notices of the Royal Astronomical Society

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

Large-Scale Heteroscedastic Regression via Gaussian Process

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


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Learning with Opponent-Learning Awareness

Real-Time Reinforcement Learning

DiCE: The Infinitely Differentiable Monte-Carlo Estimator


Predict disorder and disorder binding from AlphaFold structures

Intrinsic protein disorder and conditional folding in AlphaFoldDB

Protein science : a publication of the Protein Society

Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins

Computational and structural biotechnology journal

The fitness cost of spurious phosphorylation

bioRxiv : the preprint server for biology


collection of bioinformatic scripts

Metabarcoding reveals a high diversity of woody host-associated Phytophthora spp. in soils at public gardens and amenity woodlands in Britain

Zenodo (CERN European Organization for Nuclear Research)

Alien Domains Shaped the Modular Structure of Plant NLR Proteins

The Transcriptomes of Xiphinema index and Longidorus elongatus Suggest Independent Acquisition of Some Plant Parasitism Genes by Horizontal Gene Transfer in Early-Branching Nematodes

Diversity of woody-host infecting Phytophthora species in public parks and botanic gardens as revealed by metabarcoding, and opportunities for mitigation through best practice

Sibbaldia: the International Journal of Botanic Garden Horticulture


Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots


KPQA is an evaluation metric for generative question answering. (NAACL-21)

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

SCAI-QReCC Shared Task on Conversational Question Answering

Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models


Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354

Distributional Reinforcement Learning via Moment Matching

Distributional Reinforcement Learning with Maximum Mean Discrepancy.


This is the Github repository for SemEval-2018 Task 3

SemEval-2018 Task 3: Irony Detection in English Tweets

North American Chapter of the Association for Computational Linguistics

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition

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

Enhancing the Generalization for Text Classification through Fusion of Backward Features

HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection

Computational Sarcasm Analysis on Social Media: A Systematic Review

BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts


Scripts for SPM, FSL and AFNI used for investigating the validity of parametric statistics for multi-subject fMRI.

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

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

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates

Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI.

Analysis of BOLD fMRI Signal Preprocessing Pipeline on Different Datasets while Reducing False Positive Rates

Correction


Overlap assembler of paired-end DNA sequences generated by Illumina

Comparison of Sequencing Utility Programs

SNP-markers in Allium species to facilitate introgression breeding in onion

Is the whole greater than the sum of its parts? De novo assembly strategies for bacterial genomes based on paired-end sequencing


A method collection for top-k recommendation

Neural Collaborative Filtering

Collaborative Deep Learning for Recommender Systems

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

Personalized Video Recommendation Using Rich Contents from Videos


Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

Variational Sequential Optimal Experimental Design using Reinforcement Learning


Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Harnessing Large Language Models as Post-hoc Correctors

Bridging Local Details and Global Context in Text-Attributed Graphs

LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework


Code for paper https://arxiv.org/abs/2102.13186

Towards a Unified Framework for Fair and Stable Graph Representation Learning

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Counterfactual Learning on Graphs: A Survey

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

Graph Fairness Learning under Distribution Shifts

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification

A Benchmark for Fairness-Aware Graph Learning


Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong in Meta-RL (Beck et al., 2023)

SplAgger: Split Aggregation for Meta-Reinforcement Learning


Dissociable Multi-scale Patterns of Development in Personalized Brain Networks

Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder


Mock Lenses in Time

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression

Monthly notices of the Royal Astronomical Society

Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

Simulating time-varying strong lenses

Time delay estimation in unresolved lensed quasars

Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong
  Galaxy-Galaxy Lenses with Convolutional Neural Networks


Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

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

Striving for Simplicity: The All Convolutional Net

LARNN: Linear Attention Recurrent Neural Network


Domain Adaptation for Time Series Forecasting via Attention Sharing

Context-aware Domain Adaptation for Time Series Anomaly Detection


A significantly higher label quality version of the popular TACRED dataset

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Generative Prompt Tuning for Relation Classification

Retrieval-Augmented Generation-based Relation Extraction

Semi-supervised Relation Extraction via Data Augmentation and Consistency-training

Recognizing Everything from All Modalities at Once: Grounded Multimodal
  Universal Information Extraction

Relation Extraction with Fine-Tuned Large Language Models in Retrieval
  Augmented Generation Frameworks


Deep Reinforcement Learning for Continuous Control in PyTorch

Continuous control with deep reinforcement learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Continuous Deep Q-Learning with Model-based Acceleration

GRAC: Self-Guided and Self-Regularized Actor-Critic

Towards Automatic Actor-Critic Solutions to Continuous Control

A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets


[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"

Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Disentangling Label Distribution for Long-tailed Visual Recognition


Generating music with Vector Quantized Variational Autoencoders plus Scalable Sparse Transformer: "JukeBox". Code for inzva ai projects #5.

Neural Discrete Representation Learning

Jukebox: A Generative Model for Music

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Attentional networks for music generation


Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation

FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Visualizing Missing Surfaces In Colonoscopy Videos Using Shared Latent Space Representations

International Symposium on Biomedical Imaging


[ICIP 2023 (oral)] Team DETR: Guide Queries as a Professional Team in Detection Transformers

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR


Interface to the MODIS Land Products Subsets Web Services


Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

DHP: Differentiable Meta Pruning via HyperNetworks

Learning Filter Basis for Convolutional Neural Network Compression

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures


The CODWOE shared task invites you to compare two types of semantic descriptions: dictionary glosses and word embedding representations. Are these two types of representation equivalent? Can we generate one from the other?

Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings

LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations


TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


MindSpore implementations of deep reinforcement learning algorithms and environments

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Soft Actor-Critic Algorithms and Applications

Hindsight Experience Replay

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

Diversity is All You Need: Learning Skills without a Reward Function


A repository with a variety of meshes with minimal licensing requirements.

Reach For the Spheres: Tangency-Aware Surface Reconstruction of SDFs

A Splitting Scheme for Flip-Free Distortion Energies

Accurate Differential Operators for Hybrid Neural Fields

A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing


Mutual nearest neighbor graphs and data visualization for genomic population networks :octopus:

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Autosomal and Mitochondrial Adaptation Following Admixture: A Case Study on the Honeybees of Reunion Island

Identification of key contributors in complex population structures


The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Towards Understanding and Evaluating Structural Node Embeddings

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


context labels and pronunciation data for JSUT corpus

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE Journal on Selected Topics in Signal Processing

Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End

Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder

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

Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data


Detect, classify, and track Rossby Wave Breaking (RWB) in weather and climate data.


BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks

A survey of dynamic graph neural networks


Bayesian Jenaer software

Effective-one-body waveforms for precessing coalescing compact binaries with post-Newtonian twist

Bayesian inference of multimessenger astrophysical data: Methods and applications to gravitational waves

Constraints on the neutron star's maximum densities from postmerger gravitational-waves with third-generation observations

Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Kilohertz Gravitational Waves From Binary Neutron Star Mergers: Numerical-relativity Informed Postmerger Model

Kilohertz Gravitational Waves from Binary Neutron Star Mergers: Inference of Postmerger Signals with the Einstein Telescope

Numerical-Relativity-Informed Effective-One-Body model for Black-Hole-Neutron-Star Mergers with Higher Modes and Spin Precession

Pre/Post-Merger Consistency Test for Gravitational Signals from Binary Neutron Star Mergers


Measuring the Mixing of Contextual Information in the Transformer

Quantifying Attention Flow in Transformers

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models


SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data

International Workshop on Semantic Evaluation


HarDNet: A Low Memory Traffic Network

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection

Deep ensembles in bioimage segmentation


Transcripts annotation and GO enrichment Fisher tests

Epimutations in Developmental Genes Underlie the Onset of Domestication in Farmed European Sea Bass

Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity

Metatranscriptomics reveals a shift in microbial community composition and function during summer months in a coastal marine environment

Environmentally Driven Color Variation in the Pearl Oyster Pinctada margaritifera var. cumingii (Linnaeus, 1758) Is Associated With Differential Methylation of CpGs in Pigment- and Biomineralization-Related Genes

Epigenetic and Genetic Differentiation Between Coregonus Species Pairs.


Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

IEEE transactions on pattern analysis and machine intelligence

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging


Adaptive Denoising Training (ADT) for Recommendation.

Denoising Implicit Feedback for Recommendation

Learning Robust Recommenders through Cross-Model Agreement

Double Correction Framework for Denoising Recommendation

Denoising Diffusion Recommender Model

Partial Relaxed Optimal Transport for Denoised Recommendation

Learning Robust Recommender from Noisy Implicit Feedback

Inverse Learning with Extremely Sparse Feedback for Recommendation

Label Denoising through Cross-Model Agreement


Plastid Genome Annotator

PGA: a software package for rapid, accurate, and flexible batch annotation of plastomes

Complete plastome sequence of an endangered species, Calocedrus rupestris (Cupressaceae)

Comparative and Evolutionary Analyses on the Complete Plastomes of Five Kalanchoe Horticultural Plants

Characterization of the complete plastome of Aster pekinensis (Asteraceae), a perennial herb

Characterization and phylogenetic analysis of the complete plastome of Alopecurus japonicus (Gramineae), an annual weed

Characterization of the complete chloroplast genome of Suaeda salsa (Amaranthaceae/Chenopodiaceae), an annual succulent halophyte

Comparative and Phylogenetic Analysis of Complete Plastomes among Aristidoideae Species (Poaceae)

Complete Chloroplast Genome of Hypericum perforatum and Dynamic Evolution in Hypericum (Hypericaceae)

International journal of molecular sciences

Complete chloroplast genome sequence of Oxytropis glabra (Leguminosae)

Characterization of the complete chloroplast genome of Salvia hispanica (Lamiaceae)


Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)

Efficiently Modeling Long Sequences with Structured State Spaces

Resurrecting Recurrent Neural Networks for Long Sequences

Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues

Gated recurrent neural networks discover attention


Stochastic training of graph convolutional networks

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

GraphSAINT: Graph Sampling Based Inductive Learning Method

Stochastic Training of Graph Convolutional Networks with Variance Reduction

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

IGLU: Efficient GCN Training via Lazy Updates


On algorithms for and computing with the tensor ring decomposition

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations

TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions


MB-GMN, SIGIR 2021

Graph Meta Network for Multi-Behavior Recommendation

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

Compressed Interaction Graph based Framework for Multi-behavior Recommendation


Official implementation of Masked-Attention Transformers for Surgical Instrument Segmentation

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Pixel-Wise Recognition for Holistic Surgical Scene Understanding


Source code of EDPRC.

Entity, Relation, and Event Extraction with Contextualized Span Representations

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension


Python scripts for studying bias in recommender systems

The Unfairness of Popularity Bias in Recommendation

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

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

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


Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

Learning to leverage salient regions in neuro-oncology using Deep Learning

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation


Countering Adversarial Image using Input Transformations.

Explaining and Harnessing Adversarial Examples

Adversarial Machine Learning at Scale

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Countering Adversarial Images using Input Transformations

Image Super-Resolution as a Defense Against Adversarial Attacks

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

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


Collection of layers that can perform arithmetic operations

Neural Arithmetic Logic Units

iNALU: Improved Neural Arithmetic Logic Unit

Neural Power Units


The multi-regional Integrated Assessment Model RICE50+

RICE50+: DICE model at country and regional level

From optimal to robust climate strategies: expanding integrated assessment model ensembles to manage economic, social, and environmental objectives

SRM on the table: the role of geoengineering for the stability and effectiveness of climate coalitions


Implements synchrotron emission from cooling electrons

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

Improving INTEGRAL/SPI data analysis of GRBs


Introductory tutorial (approx. 3 hours) covering the setup and querying of an OpenTripPlanner instance

Evaluating the accessibility benefits of the new BRT system during the COVID-19 pandemic in Winnipeg, Canada

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models


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

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

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


Public collection of firewall dumps.

Agile Network Access Control in the Container Age

IEEE Transactions on Network and Service Management

Verified iptables Firewall Analysis and Verification

Semantics-Preserving Simplification of Real-World Firewall Rule Sets

Continuous Verification of Network Security Compliance

Directed Security Policies: A Stateful Network Implementation

Taint Analysis for System-Wide Privacy Audits: A Framework and Real-World Case Studies.

Certifying spoofing-protection of firewalls

Conference on Network and Service Management

Provably Secure Networks: Methodology and Toolset for Configuration Management


Agroecology Map, Knowledge and Practices, is a technological platform that allows the mapping and exchange of Agroecological experiences (Agroforestry) in order to bring people in order to strengthen or/and create new, collaborative networks that enhance the sharing of real (and sometimes imaginary) experiences https://agroecologymap.org


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

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

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


ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning


Defeating Windows User Account Control

Blockchain-Enabled Intrusion Detection and Prevention System of APTs Within Zero Trust Architecture

Modelling Indicators of Behaviour for Cyber Threat Hunting via Sysmon

PROCEEDINGS OF THE 2024 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2024


COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".

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

Self-critical Sequence Training for Image Captioning

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

COMIC: Toward A Compact Image Captioning Model With Attention


NeurIPS 2022 - Cross-domain meta-learning competition

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results


A photometric redshift monstrosity

Photometric redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1

Publications of the Astronomical Society of Japan

Galaxy-Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets

Monthly Notices of the Royal Astronomical Society

The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects

Augmenting machine learning photometric redshifts with Gaussian mixture models

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

Galaxy Clustering in the Mira-Titan Universe. I. Emulators for the Redshift Space Galaxy Correlation Function and Galaxy–Galaxy Lensing

Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference

Reconstructing AGN X-ray spectral parameter distributions with Bayesian methods


This repo contains code for the paper: "Can Foundation Models Help Us Achieve Perfect Secrecy?"

Ask Me Anything: A simple strategy for prompting language models

Considerations for Differentially Private Learning with Large-Scale Public Pretraining


SABCEMM-A Simulator for Agent-Based Computational Economic Market Models

SABCEMM-A Simulation Framework for Agent-Based Computational Economic Market Models

Simulation of Stylized Facts in Agent-Based Computational Economic Market Models


An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction

ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data


Addressing Failure Prediction by Learning Model Confidence

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

Learning to Predict Trustworthiness with Steep Slope Loss

Robust Deep Learning for Autonomous Driving

On Deep Neural Network Calibration by Regularization and its Impact on Refinement


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

Remote land use impacts on river flows through atmospheric teleconnections

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

Global Impacts of El Niño on Terrestrial Moisture Recycling

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

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


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

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

Big Bird: Transformers for Longer Sequences

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


Python package to read in tabulated photon densities and gamma-ray opacities

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Journal of Cosmology and Astroparticle Physics

GRB 221009A: A light dark matter burst or an extremely bright Inverse Compton component?

Interpretation of multi-TeV photons from GRB221009A

Connecting steady emission and very high energy flaring states in blazars: the case of Mrk 421

Monthly notices of the Royal Astronomical Society

MINOT: Modeling the intracluster medium (non-)thermal content and observable prediction tools

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

Hadronic processes at work in 5BZB J0630-2406

Probing the Extragalactic Mid-infrared Background with HAWC


Compare a statistical map of a brain with gene expression patterns from Allen Human Brain Atlas.

Local vulnerability and global connectivity jointly shape neurodegenerative disease propagation

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia

Correlation between cortical gene expression and resting‐state functional network centrality in healthy young adults

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain

Common neural and transcriptional correlates of inhibitory control underlie emotion regulation and memory control

Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology

The regional variation of laminar thickness in the human isocortex is related to cortical hierarchy and interregional connectivity

Transcriptional and cellular signatures of cortical morphometric remodelling in chronic pain

Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing


Repository for "Differentiable Causal Discovery from Interventional Data"

Interventional Causal Representation Learning

Efficient Neural Causal Discovery without Acyclicity Constraints

Learning Neural Causal Models with Active Interventions


R package for delineating temporal dataset shifts in Eletronic Health Records

Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories

Journal of the American Medical Informatics Association : JAMIA

Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds

International journal of medical informatics

EHRtemporalVariability: delineating temporal data-set shifts in electronic health records

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality


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

The evolution, evolvability and engineering of gene regulatory DNA

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

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

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


(beta-)VAE Tensorflow

Auto-Encoding Variational Bayes

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Explanation by Progressive Exaggeration

Autoregressive Quantile Networks for Generative Modeling


An open-source library for reduced-density matrix-based analysis and computation

Large-Scale Variational Two-Electron Reduced-Density-Matrix-Driven Complete Active Space Self-Consistent Field Methods

Journal of chemical theory and computation

Combining pair-density functional theory and variational two-electron reduced-density matrix methods

Heterogeneous CPU + GPU Algorithm for Variational Two-Electron Reduced-Density Matrix-Driven Complete Active-Space Self-Consistent Field Theory

Global hybrid multiconfiguration pair-density functional theory


elmada: Dynamic electricity carbon emission factors and prices for Europe


PRS-on-SPARK

A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions

DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up

PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores

A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes

Corticolimbic DCC gene co-expression networks as predictors of impulsivity in children

DCC gene network in the prefrontal cortex is associated with total brain volume in childhood

Journal of psychiatry & neuroscience : JPN


The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development


Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?

A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification

Clickbait Post Detection using NLP for Sustainable Content

Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection

Catching Attention with Automatic Pull Quote Selection


Code, documentation, and discussion around the MIMIC-CXR database

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Generating Radiology Reports via Memory-driven Transformer

Cross-modal Memory Networks for Radiology Report Generation

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Progressive Transformer-Based Generation of Radiology Reports

MAIRA-1: A specialised large multimodal model for radiology report generation

Controllable Chest X-Ray Report Generation from Longitudinal Representations

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

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

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning


Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning

Imitating Graph-Based Planning with Goal-Conditioned Policies


Python Implementation of Weighted Generalized Canonical Correlation Analysis

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Empirical Methods in Natural Language Processing

Learning Representations of Social Media Users


[IJCV 2021] Python implementation of deblatting

Intra-Frame Object Tracking by Deblatting

International Conference on Computer Vision

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Tracking by Deblatting

International Journal of Computer Vision

Monocular Visual Analysis for Electronic Line Calling of Tennis Games


Comostional question answering

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

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks


The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.

Five-State Extended Kalman Filter for Estimation of Speed over Ground (SOG), Course over Ground (COG) and Course Rate of Unmanned Surface Vehicles (USVs): Experimental Results

LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter

Path following Control of an Underactuated Catamaran for Recovery Maneuvers

Convex Geometric Trajectory Tracking Using Lie Algebraic MPC for Autonomous Marine Vehicles

Optimal universal controllers for roll stabilization

Fixed-time Leader-Following Formation Control of AUVs Without Velocity Measurements

Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform

Journal of Marine Science and Engineering


Implementation of Tactical Optimistic and Pessimistic value estimation

Benchmarks for Deep Off-Policy Evaluation

Tactical Optimism and Pessimism for Deep Reinforcement Learning


On the Hidden Mystery of OCR in Large Multimodal Models (OCRBench)

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

Exploring the Capabilities of Large Multimodal Models on Dense Text


SemEval-2021 Task 1: Lexical Complexity Prediction

CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data

Predicting lexical complexity in English texts: the Complex 2.0 dataset

cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora


The Business Scene Dialogue corpus

Overview of the 8th Workshop on Asian Translation

Overview of the 7th Workshop on Asian Translation

Designing the Business Conversation Corpus

Overview of the 9th Workshop on Asian Translation

Document-aligned Japanese-English Conversation Parallel Corpus

Improving NMT via Filtered Back Translation


Fast decision tree software in spherical coordinates for finding objects contaminated by artifacts in images. Highly optimized for large data sets and high number of masks.

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

Evidence for a Highly Opaque Large-scale Galaxy Void at the End of Reionization

Constraining Dark Energy with Stacked Concave Lenses

Testing the Large-scale Environments of Cool-core and Non-cool-core Clusters with Clustering Bias


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

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

Prompt-driven Target Speech Diarization

DiaCorrect: Error Correction Back-end For Speaker Diarization


Hierarchical Gating Networks for Sequential Recommendation

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

HAM: Hybrid Associations Models for Sequential Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

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

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation


CircuMat is a modified (forked) version of Rama-Scene EIT Raw Materials project related to analyzing Environmentally Extended Input-Output (EEIO) tables. CircuMat focuses on NUTS2 level classification as opposed to Rama-Scene country level analysis tool.


MirasText

ParsiNLU: A Suite of Language Understanding Challenges for Persian

PerAnSel: A Novel Deep Neural Network-Based System for Persian Question Answering

Computational intelligence and neuroscience

Fatemeh sadat Hosseini, Shima Kashef, Elham Shabaninia, Hossein Nezamabadi-pour

Improving low-resource ASR performance with untranscribed out-of-domain data


Data and analysis for 'Machine Bias'

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

Towards Robust Interpretability with Self-Explaining Neural Networks

Machine Learning Testing: Survey, Landscapes and Horizons

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Fairness in Machine Learning

Measuring Fairness in Ranked Outputs

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Fairness in Deep Learning: A Computational Perspective

Predictability and Surprise in Large Generative Models

From Parity to Preference-based Notions of Fairness in Classification


Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

Human-like Summarization Evaluation with ChatGPT

Fast yet Safe: Early-Exiting with Risk Control


icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

FCOS: Fully Convolutional One-Stage Object Detection

VarifocalNet: An IoU-aware Dense Object Detector

TOOD: Task-aligned One-stage Object Detection

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks


FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

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

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

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


A curated list of awesome resources related to executable packing

A comparative assessment of malware classification using binary texture analysis and dynamic analysis

OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection

INTERNATIONAL JOINT CONFERENCE CISIS'12 - ICEUTE'12 - SOCO'12 SPECIAL SESSIONS

Binary-code obfuscations in prevalent packer tools

DexHunter: Toward Extracting Hidden Code from Packed Android Applications

Semi-supervised Learning for Unknown Malware Detection

International Symposium on Distributed Computing and Artificial Intelligence

A Static, Packer-Agnostic Filter to Detect Similar Malware Samples

AppSpear: Bytecode Decrypting and DEX Reassembling for Packed Android Malware

Entropy analysis to classify unknown packing algorithms for malware detection

International Journal of Information Security

Towards Paving the Way for Large-Scale Windows Malware Analysis: Generic Binary Unpacking with Orders-of-Magnitude Performance Boost

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)

A Close Look at a Daily Dataset of Malware Samples

ACM Transactions on Privacy and Security


Craft poisoned data using MetaPoison

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

MetaPoison: Practical General-purpose Clean-label Data Poisoning

CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets

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


A microbiome analysis toolkit for R

Recipe for a Healthy Gut: Intake of Unpasteurised Milk Is Associated with Increased Lactobacillus Abundance in the Human Gut Microbiome

The live biotherapeutic Blautia stercoris MRx0006 attenuates social deficits, repetitive behaviour, and anxiety-like behaviour in a mouse model relevant to autism

Prebiotic supplementation modulates selective effects of stress on behavior and brain metabolome in aged mice

Diet Prevents Social Stress-Induced Maladaptive Neurobehavioural and Gut Microbiota Changes in a Histamine-Dependent Manner

International journal of molecular sciences


Python client for retrieving the latest data on the EU ETS market and its participants


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

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

On Continuous Local BDD-Based Search for Hybrid SAT Solving

Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs


3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize

Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs

Teaching the incompressible Navier–Stokes equations to fast neural surrogate models in three dimensions


Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.

Knowledge Graph Convolutional Networks for Recommender Systems

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

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade


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

Brain-Inspired Computational Intelligence via Predictive Coding

A Review of Neuroscience-Inspired Machine Learning

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


Neovim plugin for GitHub Copilot

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Exploring the problems, their causes and solutions of AI pair programming: A study on GitHub and Stack Overflow

A Performance Study of LLM-Generated Code on Leetcode

PROCEEDINGS OF 2024 28TH INTERNATION CONFERENCE ON EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING, EASE 2024


[Official] A Survey on Asking Clarification Questions Datasets in Conversational Systems - ACL 2023

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

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

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset

ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs

Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


A speaker embedding network in Pytorch that is very quick to set up and use for whatever purposes.

Generalized End-to-End Loss for Speaker Verification

Universal Source Separation with Weakly Labelled Data

Voice Conversion Can Improve ASR in Very Low-Resource Settings

Disentanglement in a GAN for Unconditional Speech Synthesis

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts

Exploring Data Augmentation in Bias Mitigation Against Non-Native-Accented Speech

Improving child speech recognition with augmented child-like speech

Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices


Data and scripts used in the oneKP capstone analyses

One thousand plant transcriptomes and the phylogenomics of green plants

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

Diploid-dominant life cycles characterize the early evolution of Fungi

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

A genome-scale phylogeny of Fungi; insights into early evolution, radiations, and the relationship between taxonomy and phylogeny

Compositional shifts associated with major evolutionary transitions in plants

LocoGSE, a sequence-based genome size estimator for plants


[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)

Deep Residual Learning for Image Recognition

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

International Conference on Learning Representations

Learning with Symmetric Label Noise: The Importance of Being Unhinged


Combining Answer Set Programming and Domain Heuristics for Solving Hard Industrial Problems (Application Paper)

Modeling Variations of First-Order Horn Abduction in Answer Set Programming

Hybrid ASP-based Approach to Pattern Mining

Theory and Practice of Logic Programming

Inconsistency Proofs for ASP: The ASP-DRUPE Format


Creative Commons Attribution Share Alike 4.0 International

[EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation

Execution-Based Evaluation for Open-Domain Code Generation

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions

An In-depth Look at Gemini's Language Abilities


Adds gCO2eq emissions to nvidia-smi.


Neural Machine Translation of Rare Words with Subword Units

Learning to Translate in Real-time with Neural Machine Translation

Simultaneous Machine Translation with Visual Context

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation


A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

Label-Free Concept Bottleneck Models

Cross-Modal Conceptualization in Bottleneck Models

Concept Bottleneck Models Without Predefined Concepts

VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance


☘ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)

MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

Comparative Opinion Summarization via Collaborative Decoding

Automatically Evaluating Opinion Prevalence in Opinion Summarization


Diurnal Physical Activity Patterns across Ages in a Large UK Based Cohort: The UK Biobank Study

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Fast Generalized Functional Principal Components Analysis

A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications

Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data Partitioning


Create and manipulate stellar light curves!

TOI-2196 b: Rare planet in the hot Neptune desert transiting a G-type star

Hot Planets Around Cool Stars – Two Short-Period Mini-Neptunes Transiting The Late K-Dwarf TOI-1260

Monthly Notices of the Royal Astronomical Society

TOI-4438 b: a transiting mini-Neptune amenable to atmospheric characterization

TOI-733 b: A planet in the small-planet radius valley orbiting a Sun-like star


An FFTLog code for efficiently computing integrals containing 1 spherical Bessel function or Bessel function or its 1st/2nd derivative.

Beyond Limber: efficient computation of angular power spectra for galaxy clustering and weak lensing

Journal of Cosmology and Astroparticle Physics

Dark Energy Survey Year 3 Results: Galaxy clustering and systematics treatment for lens galaxy samples

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample

Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation

Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey

Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies

The N5K Challenge: Non-Limber Integration for LSST Cosmology

The Dark Energy Survey Year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering

Monthly notices of the Royal Astronomical Society

Data-driven Cosmology from Three-dimensional Light Cones


This project is a collection of tools for bioinformatic processing of ancient DNA data at the Harvard Medical School Reich Lab.

The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean

The Anglo-Saxon migration and the formation of the early English gene pool

A minimally destructive protocol for DNA extraction from ancient teeth

An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers

Social stratification without genetic differentiation at the site of Kulubnarti in Christian Period Nubia

A genetic history of the Balkans from Roman frontier to Slavic migrations


pytorch version of neural collaborative filtering

Neural Collaborative Filtering

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

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


Natural Language Processing Tutorial for MindSpore Users

Attention Is All You Need

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

Sequence to Sequence Learning with Neural Networks

Convolutional Neural Networks for Sentence Classification

word2vec Parameter Learning Explained


Graphs, finite fields and discrete dynamical systems in Kotlin

Reweighted Random Walks for Graph Matching

Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Graph Algorithms in the Language of Linear Algebra

Society for Industrial and Applied Mathematics eBooks

Path Problems in Networks

Synthesis lectures on learning, networks, and algorithms

Context-Free Path Querying by Matrix Multiplication

A novel algorithm for online inexact string matching and its FPGA implementation

Towards an API for the real numbers

Programming Language Design and Implementation

Code Search on Bytecode for Mobile App Development

PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019)

Improved online algorithms for jumbled matching

GOOL: a generic object-oriented language

Proceedings of the 2020 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation


ADAPT-VQE simulation code

A Quantum Computing View on Unitary Coupled Cluster Theory

Simulating periodic systems on quantum computer

An efficient adaptive variational quantum solver of the Schrödinger equation based on reduced density matrices.

Accurate quantum simulation of molecular ground and excited states with a transcorrelated Hamiltonian

Symmetry Breaking Slows Convergence of the ADAPT Variational Quantum Eigensolver

Neutron-proton pairing correlations described on quantum computers


[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization Library

Ant Colony Sampling with GFlowNets for Combinatorial Optimization


A Galaxy-Galaxy Lensing Python Package

Stringent σ8 constraints from small-scale galaxy clustering using a hybrid MCMC+emulator framework

Lensing Without Borders. I. A Blind Comparison of the Amplitude of
  Galaxy-Galaxy Lensing Between Independent Imaging Surveys

The Outer Stellar Mass of Massive Galaxies: A Simple Tracer of Halo Mass with Scatter Comparable to Richness and Reduced Projection Effects

The Nature of Low-surface-brightness Galaxies in the Hyper Suprime-Cam Survey

Galaxy Clustering in the Mira-Titan Universe. I. Emulators for the Redshift Space Galaxy Correlation Function and Galaxy–Galaxy Lensing

DESI and DECaLS (D&D): galaxy–galaxy lensing measurements with 1 per cent survey and its forecast


Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit


A curated link list related to the cryosphere and its subspheres

A new model for global glacier change and sea-level rise

The Potsdam Parallel Ice Sheet Model (PISM-PIK) – Part 1: Model description

Modeling channelized and distributed subglacial drainage in two dimensions

Journal of Geophysical Research: Earth Surface

Modelling the future evolution of glaciers in the European Alps under the EURO-CORDEX RCM ensemble

The Open Global Glacier Model (OGGM) v1.1

Runoff evolution in the Swiss Alps: projections for selected high-alpine catchments based on ENSEMBLES scenarios

Modelling distributed and channelized subglacial drainage: the spacing of channels

A numerical study of hydrologically driven glacier dynamics and subglacial flooding

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6

Feedbacks between coupled subglacial hydrology and glacier dynamics


ESEC/FSE'21: Prediction-Preserving Program Simplification

A Convolutional Attention Network for Extreme Summarization of Source Code

Neural Program Repair by Jointly Learning to Localize and Repair

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Syntax-guided program reduction for understanding neural code intelligence models

Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Artifact for Article (SIVAND): Understanding Neural Code Intelligence Through Program Simplification


COsmological N-body CodE in PyThon

νCONCEPT: cosmological neutrino simulations from the non-linear Boltzmann hierarchy

Fully relativistic treatment of decaying cold dark matter in N-body simulations

The cosmological simulation code CON CEPT  1.0

CONCEPT - The COsmological N-body CodE in PyThon


Genome Annotation Without Nightmares

Thermal regime during parental sexual maturation, but not during offspring rearing, modulates DNA methylation in brook charr (Salvelinus fontinalis)

Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides)

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing

Epigenetic and Genetic Differentiation Between Coregonus Species Pairs.


Implementing and summarizing interesting research papers in Machine Learning and Neural Network domain.

Attention Is All You Need

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Neural Machine Translation by Jointly Learning to Align and Translate

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

Effective Approaches to Attention-based Neural Machine Translation

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding


GLObal Coastal Ocean Flood Forecasting System: An ADCIRC-based global storm tide modeling system providing real-time forecasts of coastal flooding

OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling

Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance


Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment


A Python tool to study the information yield of counting experiments.

Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the Galactic centre

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Digging for dark matter: Spectral analysis and discovery potential of paleo-detectors

Paleodetectors for Galactic supernova neutrinos

Implications of the Gaia sausage for dark matter nuclear interactions

New Projections for Dark Matter Searches with Paleo-Detectors

swordfish: Efficient Forecasting of New Physics Searches without Monte Carlo


Gromov-Wasserstein Learning for Graph Matching and Node Embedding

GOT: An Optimal Transport framework for Graph comparison

Unsupervised Manifold Alignment with Joint Multidimensional Scaling


Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

The Entropy Enigma: Success and Failure of Entropy Minimization

What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?


A WEKA package for analyzing emotion and sentiment of tweets.

WASSA-2017 Shared Task on Emotion Intensity

Emotion Intensities in Tweets

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

North American Chapter of the Association for Computational Linguistics

Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets

Empirical Methods in Natural Language Processing

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction

KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

International Conference on Computational Linguistics


Research on Tabular Deep Learning: Papers & Packages

TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

Benchmarking Distribution Shift in Tabular Data with TableShift

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns

UniPredict: Large Language Models are Universal Tabular Classifiers

NCART: Neural Classification and Regression Tree for Tabular Data


My bioinfo toolbox

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

HaploTypo: a variant-calling pipeline for phased genomes


ISWC 2020 Tutorial: How to build large knowledge graphs efficiently (LKGT)

Ontop: Answering SPARQL queries over relational databases

HoloClean: Holistic Data Repairs with Probabilistic Inference

IJCAI - LIMES: a time-efficient approach for large-scale link discovery on the web of data

International Joint Conference on Artificial Intelligence

KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing

Test-driven evaluation of linked data quality

WWW'14: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Sieve: linked data quality assessment and fusion

Type Inference on Noisy RDF Data

Improving the Quality of Linked Data Using Statistical Distributions

International Journal on Semantic Web and Information Systems (IJSWIS)

LOD Laundromat: A Uniform Way of Publishing Other People’s Dirty Data

Assessing linked data mappings using network measures


Official Implementation of the Paper "MAGNet: Motif-Agnostic Generation of Molecules from Shapes"

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Junction Tree Variational Autoencoder for Molecular Graph Generation

Learning to Extend Molecular Scaffolds with Structural Motifs

Molecule Generation by Principal Subgraph Mining and Assembling


Simplified State Space Layers for Sequence Modeling

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Hyena Hierarchy: Towards Larger Convolutional Language Models

GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling

Online learning of long-range dependencies

State Space Models for Event Cameras

Log Neural Controlled Differential Equations: The Lie Brackets Make a
  Difference


iCNN: image reconstruction from CNN features

A Neural Algorithm of Artistic Style

Understanding Deep Image Representations by Inverting Them

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks


PECANNs: Physics and Equality Constrained Artificial Neural Networks

Physics and equality constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fusion

An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations

A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks


A collection of scripts for processing fastq files in ways to improve de novo transcriptome assemblies, and for evaluating those assemblies.

Comparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats

Horizontal transmission enables flexible associations with locally adapted symbiont strains in deep-sea hydrothermal vent symbioses

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

Conditional stomatal closure in a fern shares molecular features with flowering plant active stomatal responses

The Evolution of Sox Gene Repertoires and Regulation of Segmentation in Arachnids

Transcriptome Profiling and Functional Validation of RING-Type E3 Ligases in Halophyte Sesuvium verrucosum under Salinity Stress

International journal of molecular sciences

Signatures of adaptive evolution in platyrrhine primate genomes

(Un)expected Similarity of the Temporary Adhesive Systems of Marine, Brackish, and Freshwater Flatworms

Zenodo (CERN European Organization for Nuclear Research)

Transcriptomics of mussel transmissible cancer MtrBTN2 suggests accumulation of multiple cancer traits and oncogenic pathways shared among bilaterians

De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery

De novo transcriptome assembly of the oak processionary moth Thaumetopoea processionea


Code for the paper:      Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

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

Learning interaction rules from multi-animal trajectories via augmented behavioral models

A Graph Dynamics Prior for Relational Inference


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


Pulsar-timing array analysis code

European Pulsar Timing Array limits on an isotropic stochastic gravitational-wave background

Monthly Notices of the Royal Astronomical Society

The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

Constraints on the Dynamical Environments of Supermassive Black-Hole Binaries Using Pulsar-Timing Arrays.

Improving timing sensitivity in the microhertz frequency regime: limits from PSR J1713+0747 on gravitational waves produced by supermassive black hole binaries


Non-Parametric Calibration for Classification (AISTATS 2020)

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration


Training T5 to perform numerical reasoning.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Injecting Numerical Reasoning Skills into Language Models

WT5?! Training Text-to-Text Models to Explain their Predictions

NT5?! Training T5 to Perform Numerical Reasoning


Boris Computational Spintronics

Boris computational spintronics—High performance multi-mesh magnetic and spin transport modeling software

Emergence of transient domain wall skyrmions after ultrafast demagnetization

Efficient computation of demagnetizing fields for magnetic multilayers using multilayered convolution

Micromagnetic Monte Carlo method with variable magnetization length based on the Landau–Lifshitz–Bloch equation for computation of large-scale thermodynamic equilibrium states

Speeding Up Explicit Numerical Evaluation Methods for Micromagnetic Simulations Using Demagnetizing Field Polynomial Extrapolation


Awesome Protein Representation Learning

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

A Survey on Protein Representation Learning: Retrospect and Prospect


Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, in press, 2020.

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

TorchGeo: Deep Learning With Geospatial Data

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


Qcover is an open source effort to help exploring combinatorial optimization problems in Noisy Intermediate-scale Quantum(NISQ) processor.

Efficient Classical Computation of Quantum Mean Values for Shallow QAOA Circuits

Quafu-Qcover: Explore combinatorial optimization problems on cloud-based quantum computers


Library for fast text representation and classification.

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models


Creative Commons Attribution 4.0 International

The Confidential Consortium Blockchain Framework is an open-source system that enables high-scale, confidential blockchain networks that meet all key enterprise requirements—providing a means to accelerate production enterprise adoption of blockchain technology.

S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX

A Review on Recent Progress of Smart Contract in Blockchain

Hybridchain: A Novel Architecture for Confidentiality-Preserving and Performant Permissioned Blockchain Using Trusted Execution Environment

An Accountable Decryption System Based on Privacy-Preserving Smart Contracts

Truxen: A Trusted Computing Enhanced Blockchain


Kefir ameliorates specific microbiota-gut-brain axis impairments in a mouse model relevant to autism spectrum disorder

Gut dysbiosis and inflammatory blood markers precede HIV with limited changes after early seroconversion

Obesity is the main driver of altered gut microbiome functions in the metabolically unhealthy


Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

Bilevel Optimization: Convergence Analysis and Enhanced Design

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

On the Convergence Theory for Hessian-Free Bilevel Algorithms


The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification

Memory Efficient Meta-Learning with Large Images

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification


[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

Skeleton Graph-Based Ultrasound-CT Non-Rigid Registration

Thoracic Cartilage Ultrasound-CT Registration Using Dense Skeleton Graph

Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging


Handwritten Text Recognition (HTR) system implemented with TensorFlow.

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images

HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network

Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback

Workshop on Innovative Use of NLP for Building Educational Applications


Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset

TopiOCQA: Open-domain Conversational Question Answering with Topic Switching

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions


Local Burden of Disease

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Mapping child growth failure across low- and middle-income countries

Mapping diphtheria-pertussis-tetanus vaccine coverage in Africa, 2000–2016: a spatial and temporal modelling study

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17

The overlapping burden of the three leading causes of disability and death in sub-Saharan African children


Similarity search in the blink of an eye with compressed indices

Locally-Adaptive Quantization for Streaming Vector Search

LeanVec: Searching vectors faster by making them fit


Proton Exchange Membrane (PEM) Fuel Cell Dataset

Dataset of Standard Tests of Nafion 112 Membrane and Membrane Electrode Assembly (MEA) Activation Tests of Proton Exchange Membrane (PEM) Fuel Cell


Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge
  Editing Benchmark

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State
  Transition Dynamics

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement
  Method for Diverse Hallucinations Categories


Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Towards Impartial Multi-task Learning

International Conference on Learning Representations

A Multi-task Learning Framework for Quality Estimation

Findings of the Association for Computational Linguistics: ACL 2023


Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

Seasonal climatology of CO2 across North America from aircraft measurements in the NOAA/ESRL Global Greenhouse Gas Reference Network

Journal of Geophysical Research: Atmospheres


Suite of universal indexes for Highly Repetitive Document Collections

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Optimal-Time Text Indexing in BWT-runs Bounded Space

Universal indexes for highly repetitive document collections

Grammar-Compressed Indexes with Logarithmic Search Time

A Fast and Small Subsampled R-index

On the reproducibility of experiments of indexing repetitive document collections

Joint Conference of the Information Retrieval Communities in Europe


Implementation of papers in 100 lines of code.

Adam: A Method for Stochastic Optimization

Human-level control through deep reinforcement learning

Image-to-Image Translation with Conditional Adversarial Networks

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

Proximal Policy Optimization Algorithms

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Playing Atari with Deep Reinforcement Learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Denoising Diffusion Probabilistic Models

Conditional Generative Adversarial Nets


Create statistic summary of an Oxford Nanopore read dataset

Detection of hidden antibiotic resistance through real-time genomics

Microbiota based personalized nutrition improves hyperglycaemia and hypertension parameters and reduces inflammation: a prospective, open label, controlled, randomized, comparative, proof of concept study

Exact breakpoints of the In(1)w m4 rearrangement.


This is a package developed in the Mesoscience Lab to perform Hierarchy of Pure State (HOPS) calculations using an adaptive basis that provides size-invariant scaling for large systems.

Formally exact simulations of mesoscale exciton dynamics in molecular materials

Simulating optical linear absorption for mesoscale molecular aggregates: an adaptive hierarchy of pure states approach

Dynamics of a strongly coupled quantum heat engine -- computing bath
  observables from the hierarchy of pure states


FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy

FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning

Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark


PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

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

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Efficient softmax approximation for GPUs

NeuSpell: A Neural Spelling Correction Toolkit

SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification


BabyBear: Cheap inference triage for expensive language models

Neural Embeddings for Text

Does Summary Evaluation Survive Translation to Other Languages?

Linear Cross-Lingual Mapping of Sentence Embeddings


ERKALE -- HF/DFT from Hel

Open source molecular modeling

Journal of molecular graphics & modelling

Fully numerical Hartree‐Fock and density functional calculations. II. Diatomic molecules

International Journal of Quantum Chemistry

Fully numerical electronic structure calculations on diatomic molecules in weak to strong magnetic fields

Orbital optimisation in the perfect pairing hierarchy: applications to full-valence calculations on linear polyacenes

Meta-GGA Density Functional Calculations on Atoms with Spherically Symmetric Densities in the Finite Element Formalism

On the Estimation of the Molecular Inaccessible Volume and the Molecular Accessible Surface of a Ligand in Protein Ligand Systems


Collection of tools to extract semantic information from (mathematical) research articles

unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network

Multimodal Machine Learning for Extraction of Theorems and Proofs in the Scientific Literature

Extracting scientific results from research articles

HAL (Le Centre pour la Communication Scientifique Directe)

REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs

First Steps in Building a Knowledge Base of Mathematical Results


This GitHub repo contains all of the code for the heatwaveR package.

heatwaveR: A central algorithm for the detection of heatwaves and cold-spells


Neuroimgaing data processing pipelines used in the lab

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

A functional connectome phenotyping dataset including cognitive state and personality measures

The age-dependent relationship between resting heart rate variability and functional brain connectivity

Gradients of connectivity distance are anchored in primary cortex

Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning


A license friendly NGC/IC objects database

The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation

Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS)

Cross-correlation of Planck CMB lensing with DESI-like LRGs

Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey

Siena Galaxy Atlas 2020

A Search for Wandering Black Holes in the Milky Way with Gaia and DECaLS


DeeP-LCC for mixed traffic

DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow

Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic

Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed Traffic


This is a repository is an overarching numerical framework for event-by-event simulations of relativistic heavy-ion collisions

Running the gamut of high energy nuclear collisions

Beam-energy dependence of the production of light nuclei in Au + Au collisions

3D structure of anisotropic flow in small collision systems at energies available at the BNL Relativistic Heavy Ion Collider

Viscosities of the Baryon-Rich Quark-Gluon Plasma from Beam Energy Scan Data

Applications of emulation and Bayesian methods in heavy-ion physics


Generate videos that interpolate between two given images

Interpolating between Images with Diffusion Models

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models


A collection of structures, force constants and phonon data obtained from first-principles calculations

Anharmonicity in the High-Temperature Cmcm Phase of SnSe: Soft Modes and Three-Phonon Interactions.

Phonon anharmonicity, lifetimes, and thermal transport in CH3NH3PbI3 from many-body perturbation theory

Perspective: Theory and simulation of hybrid halide perovskites

Chemical and Lattice Stability of the Tin Sulfides

The journal of physical chemistry. C, Nanomaterials and interfaces

Microscopic origin of entropy-driven polymorphism in hybrid organic-inorganic perovskite materials

Suppression of lattice thermal conductivity by mass-conserving cation mutation in multi-component semiconductors

Magnetoelastic coupling in the cobalt adipate metal–organic framework from quasi-harmonic lattice dynamics


Imitation learning algorithms

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Generative Adversarial Imitation Learning

Soft Actor-Critic Algorithms and Applications

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

A Divergence Minimization Perspective on Imitation Learning Methods

Primal Wasserstein Imitation Learning

Disagreement-Regularized Imitation Learning

What Matters for Adversarial Imitation Learning?


Dutch abusive language data

DALC: the Dutch Abusive Language Corpus

WOAH 2021: THE 5TH WORKSHOP ON ONLINE ABUSE AND HARMS

“Zo Grof !”: A Comprehensive Corpus for Offensive and Abusive Language in Dutch

Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)

Benchmarking Offensive and Abusive Language in Dutch Tweets

The 7th Workshop on Online Abuse and Harms (WOAH)


Borg cluster traces from Google

TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory

PRIMAL: PRofIt Maximization Avatar pLacement for Mobile Edge Computing

Zero Queueing for Multi-Server Jobs

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study

Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE Transactions on Network and Service Management

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System

MAG-D: A multivariate attention network based approach for cloud workload forecasting

Future generations computer systems : FGCS

Cloud-Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems


GENome Organisation Visual Analytics

WAPL maintains a cohesin loading cycle to preserve cell-type-specific distal gene regulation

Hi-C analyses with GENOVA: a case study with cohesin variants

A Mediator-cohesin axis controls heterochromatin domain formation

Distinct roles for CKM–Mediator in controlling Polycomb-dependent chromosomal interactions and priming genes for induction


Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).

Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology


Code accompanying our papers on the "Generative Distributional Control" framework

Fine-Tuning Language Models from Human Preferences

A Distributional Approach to Controlled Text Generation

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting

Controlling Conditional Language Models without Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints


A solution that helps apply a privacy preserving mechanism to NLP data, using Amazon SageMaker.

Membership Inference Attacks against Machine Learning Models

Auditing Data Provenance in Text-Generation Models

Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations


iRob Surgical Automation Framework

A DVRK-based Framework for Surgical Subtask Automation

Visual servoing-based camera control for the da Vinci Surgical System

Symposium on Intelligent Systems and Informatics

An Open-Source Framework for Surgical Subtask Automation


A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays

Black box approximation in the tensor train format initialized by ANOVA decomposition

PROTES: Probabilistic Optimization with Tensor Sampling


Analysis and tutorial materials associated with the NANOGrav Collaboration's search for an isotropic stochastic gravitational-wave background in 12.5-years of precision millisecond pulsar timing data.

Primordial gravitational waves from NANOGrav: A broken power-law approach

Non-tensorial gravitational wave background in NANOGrav 12.5-year data set

中国科学. 物理学 力学 天文学

Updated constraints on amplitude and tilt of the tensor primordial spectrum

Bayesian Implications for the Primordial Black Holes from NANOGrav's Pulsar-Timing Data Using the Scalar-Induced Gravitational Waves


Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.


[arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding


Most popular metrics used to evaluate object detection algorithms.

A Survey on Performance Metrics for Object-Detection Algorithms

PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 27TH EDITION

A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit

Fast Personal Protective Equipment Detection for Real Construction Sites Using Deep Learning Approaches

NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning

Flipping food during grilling tasks, a dataset of utensils kinematics and dynamics, food pose and subject gaze

Surround-View Cameras based Holistic Visual Perception for Automated Driving


Libraries to analyze numerical simulations

The Quijote Simulations

The Astrophysical Journal Supplement Series

Using the Marked Power Spectrum to Detect the Signature of Neutrinos in Large-Scale Structure.

User’s guide to extracting cosmological information from line-intensity maps

Super-resolution emulator of cosmological simulations using deep physical models

Monthly notices of the Royal Astronomical Society

Statistical Properties of Paired Fixed Fields

From Dark Matter to Galaxies with Convolutional Networks

On the impact of baryons on the halo mass function, bias, and cluster cosmology

Monthly Notices of the Royal Astronomical Society

Baryonic effects on the matter bispectrum

What can we learn by combining the skew spectrum and the power spectrum?

Journal of Cosmology and Astroparticle Physics

Anisotropic halo assembly bias and redshift-space distortions


Machine/deep learning papers that address the topic of privacy in visual data.

De-identification for privacy protection in multimedia content: A survey

The Privacy-Utility Tradeoff for Remotely Teleoperated Robots

PROCEEDINGS OF THE 2015 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'15)

Attribute preserved face de-identification

Soft biometric privacy: Retaining biometric utility of face images while perturbing gender

2017 IEEE International Joint Conference on Biometrics (IJCB)

Privacy of Facial Soft Biometrics: Suppressing Gender But Retaining Identity

Towards privacy-preserving recognition of human activities

International Conference on Information Photonics

An overview of face de-identification in still images and videos

IEEE International Conference on Automatic Face & Gesture Recognition

Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformations

PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units

Controllable Face Privacy


DDO a generic and efficient framework for MDD-based  optimization.

Discrete Optimization with Decision Diagrams

PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2015

Parallel Combinatorial Optimization with Decision Diagrams

Improving the filtering of Branch-And-Bound MDD solver (extended)

Theoretical insights and algorithmic tools for decision diagram-based optimization


2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Thickness bound for nonlocal wide-field-of-view metalenses

Fast multi-source nanophotonic simulations using augmented partial factorization

Transmission Efficiency Limit for Nonlocal Metalenses

Fast Multichannel Inverse Design through Augmented Partial Factorization

Full-wave solver for massively multi-channel optics using augmented partial factorization

Numerical experiments of tomographic optical imaging inside scattering media

Wavefront shaping simulations with augmented partial factorization