ExaRanker: Synthetic Explanations Improve Neural Rankers

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

ExaRanker: Explanation-Augmented Neural Ranker

ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs


A Novel Listwise Collaborative Ranking Algorithm published at ICML'18

SQL-Rank: A Listwise Approach to Collaborative Ranking

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

Advances in Collaborative Filtering and Ranking

A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems


Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery

MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery

CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations

A deep learning method for drug-target affinity prediction based on sequence interaction information mining


This repository holds the dataset used to conduct experiments for the "Cyberthreat Detection from Twitter using Deep Neural Networks" accepted to the IJCNN 2019.

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives

IEEE Communications Surveys and Tutorials

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey


An unofficial implementation of the paper "TopNet: Transformer-based Object Placement Network for Image Compositing", CVPR 2023.

Learning to Generate Synthetic Data via Compositing

OPA: Object Placement Assessment Dataset

Learning Object Placement via Dual-path Graph Completion

Fast Object Placement Assessment


This repo supports various cross-lingual transfer learning & multilingual NLP models.

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Are All Languages Created Equal in Multilingual BERT?

Do Explicit Alignments Robustly Improve Multilingual Encoders?

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Zero-shot Cross-lingual Transfer is Under-specified Optimization

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16


Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels


Sleep staging from ECG, assisted with EEG

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

IEEE International Symposium on Medical Measurements and Applications


Certified Removal from Machine Learning Models

Certified Data Removal from Machine Learning Models

A Survey of Machine Unlearning

Certifiable Machine Unlearning for Linear Models

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


EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Neural Exploitation and Exploration of Contextual Bandits

Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing

Contextual Bandits with Online Neural Regression


Component-based Attention for Large-scale Trademark Retrieval

IEEE Transactions on Information Forensics and Security

A Large-scale Dataset and Benchmark for Similar Trademark Retrieval


Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"

Variational image compression with a scale hyperprior

Joint Autoregressive and Hierarchical Priors for Learned Image Compression


Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot
  Unsupervised Anomalous Sound Detection for Machine Condition Monitoring


Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding

On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification

Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative
  Training for Unsupervised ASR


The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

An Evaluation of Change Point Detection Algorithms

Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation

Memory-free Online Change-point Detection: A Novel Neural Network Approach


COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers


Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)

Denoising Autoencoders for fast Combinatorial Black Box Optimization

Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization

Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization


Testing Language Models for Memorization of Tabular Datasets.

Elephants Never Forget: Testing Language Models for Memorization of
  Tabular Data

Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models


Bangla-Bert is a pretrained bert model for Bengali language

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

A benchmark study of machine learning models for online fake news detection

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media

Computer systems science and engineering

A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models

BLP-2023 Task 2: Sentiment Analysis

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks

Bengali Fake Reviews: A Benchmark Dataset and Detection System


Deep learning models and dataset for recognizing industrial smoke emissions

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

International Journal of Computer Vision

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

Timeception for Complex Action Recognition

Project RISE: Recognizing Industrial Smoke Emissions


Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms

Derivative-Free Optimization of Neural Networks using Local Search

Ubiquitous Computing, Electronics & Mobile Communication Conference

Optimizing Deep Neural Networks with Multiple Search Neuroevolution

Experiential Robot Learning with Accelerated Neuroevolution

Examining Hyperparameters of Neural Networks Trained Using Local Search

International Conference on the Internet, Cyber Security and Information Systems


TACO: Learning Task Decomposition via Temporal Alignment for Control

Learning Task Decomposition with Ordered Memory Policy Network

Learning generalizable behaviors from demonstration


An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

CNN-based sensor fusion techniques for multimodal human activity recognition

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (ISWC 17)

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

A Survey on Deep Learning for Human Activity Recognition

MobiSys - ClusterFL: a similarity-aware federated learning system for human activity recognition

International Conference on Mobile Systems, Applications, and Services

Using electrodermal activity to recognize ease of engagement in children during social interactions

AROMA

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

A probabilistic ontological framework for the recognition of multilevel human activities

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition

Masked reconstruction based self-supervision for human activity recognition

International Workshop on the Semantic Web


A box of genomics tools

De novo assembly of the zucchini genome reveals a whole-genome duplication associated with the origin of the Cucurbita genus

Transposon activation is a major driver in the genome evolution of cultivated olive trees (Olea europaea L.)

Early and delayed long-term transcriptional changes and short-term transient responses during cold acclimation in olive leaves

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

De Novo Genome Sequence Assembly of Dwarf Coconut (Cocos nucifera L. ‘Catigan Green Dwarf’) Provides Insights into Genomic Variation Between Coconut Types and Related Palm Species

Mining transcriptomic data to study the origins and evolution of a plant allopolyploid complex

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Morphoagronomic characterization and whole-genome resequencing of eight highly diverse wild and weedy S. pimpinellifolium and S. lycopersicum var. cerasiforme accessions used for the first interspecific tomato MAGIC population

Polyploid Nicotiana section Suaveolentes originated by hybridization of two ancestral Nicotiana clades

Chromosome-Level Assembly of Artemia franciscana Sheds Light on Sex Chromosome Differentiation

Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem


Awesome Law NLP Research Work, Paper, Competition, Onlline System

Text summarization from legal documents: a survey

Deep learning in law: early adaptation and legal word embeddings trained on large corpora

A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering

Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions

Data Augmentation for Deep Learning of Judgment Documents

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

Learning to Predict Charges for Judgment with Legal Graph

A Recurrent Attention Network for Judgment Prediction

Legal Cause Prediction with Inner Descriptions and Outer Hierarchies

Legal Article-Aware End-To-End Memory Network for Charge Prediction

Proceedings of the 2nd International Conference on Computer Science and Application Engineering

Multi-task learning model for legal judgment predictions with charge keywords

清华大学学报. 自然科学版


Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Applied Federated Learning: Improving Google Keyboard Query Suggestions

FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients


Learning with Partial Supervision

Structured Prediction with Partial Labelling through the Infimum Loss

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

Disambiguation of weak supervision with exponential convergence rates


Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

An improved neural network model for joint POS tagging and dependency parsing

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

Conference on Computational Natural Language Learning

From POS tagging to dependency parsing for biomedical event extraction


Collaborative Translational Metric Learning (ICDM 2018)

Symmetric Metric Learning with Adaptive Margin for Recommendation

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Multi-Facet Recommender Networks with Spherical Optimization


multi-channel target speech extraction with channel decorrelation and target speaker adaptation

Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam

Multi-Channel Target Speech Extraction with Channel Decorrelation and Target Speaker Adaptation

Improving Channel Decorrelation for Multi-Channel Target Speech Extraction


feedback vertex set solver

Linear-time Kernelization for Feedback Vertex Set

Improved Analysis of Highest-Degree Branching for Feedback Vertex Set

Experimental Evaluation of Parameterized Algorithms for Feedback Vertex Set

Restless reachability problems in temporal graphs


[ACM MM 2020] CCD dataset for traffic accident anticipation.

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

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

When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

Vision-Based Traffic Accident Detection and Anticipation: A Survey

Threat Detection In Self-Driving Vehicles Using Computer Vision


Improving Indonesian text classification using multilingual language model

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Indonesian Text Classification Using Multilingual Language Model


Implementation for the paper "Approximating full conformal prediction at scale via influence functions"

Uncertainty Sets for Image Classifiers using Conformal Prediction

Classification with Valid and Adaptive Coverage

Approximating Full Conformal Prediction at Scale via Influence Functions


Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

Deep Residual Learning for Image Recognition

Continual Learning Through Synaptic Intelligence

Continual learning with hypernetworks

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

Continual Learning Based on OOD Detection and Task Masking

Graceful Degradation and Related Fields


Collection of links and information about COVID-19

Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

Aerosol and surface stability of HCoV-19 (SARS-CoV-2) compared to SARS-CoV-1

medRxiv : the preprint server for health sciences

Remdesivir for the Treatment of Covid-19 — Final Report

BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting

Safety and Efficacy of Single-Dose Ad26.COV2.S Vaccine against Covid-19

Thrombotic Thrombocytopenia after ChAdOx1 nCov-19 Vaccination

Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020

Thrombosis and Thrombocytopenia after ChAdOx1 nCoV-19 Vaccination

Pathologic Antibodies to Platelet Factor 4 after ChAdOx1 nCoV-19 Vaccination

Effectiveness of the BNT162b2 Covid-19 Vaccine against the B.1.1.7 and B.1.351 Variants


The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems

The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

Exploring Transfer Learning for Low Resource Emotional TTS

Review of end-to-end speech synthesis technology based on deep learning

A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach

MASS: Multi-task Anthropomorphic Speech Synthesis Framework


Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables.  (ICLR 2019)

ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks

Direct Optimization through max for Discrete Variational Auto-Encoder

Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks


R script to make Manhattan-style plot for TWAS

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

Unraveling the causal genes and transcriptomic determinants of human telomere length

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


Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

Transformers and Slot Encoding for Sample Efficient Physical World Modelling


A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines

CancerOmicsNet: a multi-omics network-based approach to anti-cancer drug profiling

GraphGR: A graph neural network to predict the effect of pharmacotherapy on the cancer cell growth

Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer


Improved Phased Assembler

An intronic transposon insertion associates with a trans-species color polymorphism in Midas cichlid fishes

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Two high-quality de novo genomes from single ethanol-preserved specimens of tiny metazoans (Collembola)

Limited parallelism in genetic adaptation to brackish water bodies in European sprat and Atlantic herring

Genome assembly of 3 Amazonian Morpho butterfly species reveals Z-chromosome rearrangements between closely related species living in sympatry

Genetic Causes and Genomic Consequences of Breakdown of Distyly in Linum trigynum

A high-quality reference genome for the common creek chub, Semotilus atromaculatus


Result data from the SimRa project

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

Achieving Realistic Cyclist Behavior in SUMO using the SimRa Dataset

A Realistic Cyclist Model for SUMO Based on the SimRa Dataset


bits of software for manipulating and analysing brain images in the nifti format

Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis

Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects

Eigenvector centrality dynamics are related to Alzheimer’s disease pathological changes in non-demented individuals

An examination of the relationships between attention/deficit hyperactivity disorder symptoms and functional connectivity over time

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Load-dependent inverted U–shaped connectivity of the default mode network in schizophrenia during a working-memory task: evidence from a replication functional MRI study

Journal of psychiatry & neuroscience : JPN

Altered Functional Network Associated With Cognitive Performance in Early Parkinson Disease Measured by Eigenvector Centrality Mapping

Alteration of functional connectivity network in population of objectively-defined subtle cognitive decline

Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles

Eigenvector centrality and its variability over time are promising indicators of alterations in brain function due to early amyloid deposition


A stand-alone version of Dehnen's GalaxyPotential code.

The mass distribution and gravitational potential of the Milky Way

Monthly Notices of the Royal Astronomical Society

A dynamically young and perturbed Milky Way disk

Stellar Streams Discovered in the Dark Energy Survey

The Sixth Data Release of the Radial Velocity Experiment (Rave). II. Stellar Atmospheric Parameters, Chemical Abundances, and Distances

The Third Fermi Large Area Telescope Catalog of Gamma-ray Pulsars

Tree-ring structure of Galactic bar resonance

Monthly notices of the Royal Astronomical Society

Discovery of a Gamma-Ray Black Widow Pulsar by GPU-accelerated Einstein@Home

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

LAMOST meets Gaia: The Galactic Open Clusters

The local rotation curve of the Milky Way based on SEGUE and RAVE data


BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study

European psychiatry : the journal of the Association of European Psychiatrists

BERT based Transformers lead the way in Extraction of Health Information from Social Media

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media

Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification

Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines

IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation
  for Checkworthy Claim Detection

Conference and Labs of the Evaluation Forum


Identifying Y-chromosome haplogroups in arbitrarily large samples of sequenced or genotyped men

Ancient Fennoscandian genomes reveal origin and spread of Siberian ancestry in Europe

The population genomics of archaeological transition in west Iberia: Investigation of ancient substructure using imputation and haplotype-based methods

Archaeogenomic Distinctiveness of the Isthmo-Colombian Area

Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

Network of large pedigrees reveals social practices of Avar communities

Y-Chromosome Genetic Analysis of Modern Polish Population

First Glimpse into the Genomic Characterization of People from the Imperial Roman Community of Casal Bertone (Rome, First–Third Centuries AD)

Fine-Scale Genetic Structure in the United Arab Emirates Reflects Endogamous and Consanguineous Culture, Population History, and Geography

Genetic admixture and language shift in the medieval Volga-Oka interfluve


WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects  (ICCV 2019) [Python & Matlab].

What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

Deep White-Balance Editing

Image color correction, enhancement, and editing


TensorFlow implementation for our paper "Exploration via Hindsight Goal Generation"

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation


Biomedical Question Answering Datasets.

PubMedQA: A Dataset for Biomedical Research Question Answering

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Modeling Biological Processes for Reading Comprehension

Empirical Methods in Natural Language Processing

emrQA: A Large Corpus for Question Answering on Electronic Medical Records

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Medical Visual Question Answering via Conditional Reasoning

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

CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management


3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]

U-Net: Convolutional Networks for Biomedical Image Segmentation

Vision Transformers for Dense Prediction

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

RDumb: A simple approach that questions our progress in continual test-time adaptation

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

The Entropy Enigma: Success and Failure of Entropy Minimization


Learning General Policies from Small Examples Without Supervision

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

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

Proof-Carrying Plans: a Resource Logic for AI Planning

Principles and Practice of Declarative Programming

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning

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

An Effective Polynomial Technique for Compiling Conditional Effects Away

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

Synthesis of Procedural Models for Deterministic Transition Systems

Planning with Dynamically Estimated Action Costs

Performance evolution of configurable software systems: an empirical study


Identifying the Human Values behind Arguments

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments

Clickbait Spoiling via Question Answering and Passage Retrieval

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments

Small-Text: Active Learning for Text Classification in Python


Cross-population polygenic prediction

Improving Polygenic Prediction in Ancestrally Diverse Populations

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology

An ensemble penalized regression method for multi-ancestry polygenic risk prediction

bioRxiv : the preprint server for biology

Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments

BridgePRS leverages shared genetic effects across ancestries to increase polygenic risk score portability

Power of inclusion: Enhancing polygenic prediction with admixed individuals

Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users

Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam

Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features


Code for the paper: Spatial and Colour Opponency in Anatomically Constrained Deep Networks

How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning

How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning


Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

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

Query-based summarization of discussion threads


PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


Few scripts facilitating the extraction of info from Repeat Masker .out files

Rapid evolution of piRNA clusters in theDrosophila melanogasterovary

Structure of the germline genome of Tetrahymena thermophila and relationship to the massively rearranged somatic genome

Improved Genome Assembly and Annotation for the Rock Pigeon (Columba livia)

Supplementary data for: Chromosome-scale genome assemblies of aphids reveal extensively rearranged autosomes and long-term conservation of the X chromosome

Zenodo (CERN European Organization for Nuclear Research)

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

The transposable element-rich genome of the cereal pest Sitophilus oryzae

Emergence and diversification of a highly invasive chestnut pathogen lineage across southeastern Europe

Nanopore Sequencing and De Novo Assembly of a Black-Shelled Pacific Oyster (Crassostrea gigas) Genome

Genome assembly, structural variants, and genetic differentiation between lake whitefish young species pairs (Coregonus sp.) with long and short reads

Improved Reference Genome for Cyclotella cryptica CCMP332, a Model for Cell Wall Morphogenesis, Salinity Adaptation, and Lipid Production in Diatoms (Bacillariophyta)


Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning


Machine Learning-based prediction of COVID-19 diagnosis based on symptoms

Initial Stage COVID-19 Detection System Based on Patients’ Symptoms and Chest X-Ray Images

NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms

Rule Extraction for Screening of COVID-19 Disease Using Granular Computing Approach

Computational and mathematical methods in medicine

AnonPSI: An Anonymity Assessment Framework for PSI

Metode Klasifikasi Gejala Penyakit Coronavirus Disease 19 (COVID-19) Menggunakan Algoritma Neural Network

Jurnal Sisfokom (Sistem Informasi dan Komputer)

COVID-19 Predictive Models Based on Grammatical Evolution


Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries

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

Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries

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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


mixup: Beyond Empirical Risk Minimization

Manifold Mixup: Better Representations by Interpolating Hidden States

Noisy Feature Mixup


Essential introductory materials to get into computational biology.

Ten Simple Rules for Reproducible Computational Research

Best Practices for Scientific Computing

Good Enough Practices in Scientific Computing

Gene name errors are widespread in the scientific literature

Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

Bioinformatics core competencies for undergraduate life sciences education

Ten quick tips for teaching programming

Truke, a web tool to check for and handle excel misidentified gene symbols


Streaming sparse Gaussian process approximations

Streaming Sparse Gaussian Process Approximations

Kernel Interpolation for Scalable Online Gaussian Processes

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Continual Multi-task Gaussian Processes

Adaptive Sparse Gaussian Process


Open source code for the GCN training algorithm published in IEEE/IPDPS'19

GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms

Symposium on Field Programmable Gate Arrays

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Accurate, Efficient and Scalable Graph Embedding

International Parallel and Distributed Processing Symposium


Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling (ACL-2020)

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

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling

Robust Zero-Shot Cross-Domain Slot Filling with Example Values


COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Deep Transparent Prediction through Latent Representation Analysis

iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations


Genomic Surveillance for SARS-CoV-2 Variants: Predominance of the Delta (B.1.617.2) and Omicron (B.1.1.529) Variants - United States, June 2021-January 2022

MMWR. Morbidity and mortality weekly report

Genomic Surveillance for SARS-CoV-2 Variants Circulating in the United States, December 2020–May 2021

Genomic Surveillance for SARS-CoV-2 Variants: Circulation of Omicron Lineages-United States, January 2022-May 2023


Creative Commons Attribution 4.0 International

Cornell Touchdown natural language navigation and spatial reasoning dataset.

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

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

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View

Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation


Whitening for Self-Supervised Representation Learning | Official repository

A Simple Framework for Contrastive Learning of Visual Representations

Bootstrap your own latent: A new approach to self-supervised Learning

Backdoor Attacks on Self-Supervised Learning

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

An Investigation into Whitening Loss for Self-supervised Learning

Learning Instance-Specific Augmentations by Capturing Local Invariances

A Survey on Self-Supervised Representation Learning

Guarding Barlow Twins Against Overfitting with Mixed Samples


GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

Simple parameter-free self-attention approximation


CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

COLA: Decentralized Linear Learning

Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression


An R package for analysis of curve data with phase and amplitude variation

Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement

Simultaneous Registration and Clustering for Multidimensional Functional Data

Model-based curve registration via stochastic approximation EM algorithm

Most Likely Separation of Intensity and Warping Effects in Image Registration


1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

SOIL TEXTURE CLASSIFICATION WITH 1D CONVOLUTIONAL NEURAL NETWORKS BASED ON HYPERSPECTRAL DATA

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


Machine Learning applied to Cosmological Simulations

Machine learning and cosmological simulations – II. Hydrodynamical simulations

Monthly Notices of the Royal Astronomical Society

Machine Learning and Cosmological Simulations I: Semi-Analytical Models

Approximations to galaxy star formation rate histories: properties and uses of two examples


ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

A Survey on Awesome Korean NLP Datasets

mHuBERT-147: A Compact Multilingual HuBERT Model


AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

Autoencoding beyond pixels using a learned similarity metric

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

Invertible Conditional GANs for image editing

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Fighting Deepfakes by Detecting GAN DCT Anomalies

Deepfakes Generation and Detection: A Short Survey

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

MaskFaceGAN: High-Resolution Face Editing With Masked GAN Latent Code Optimization

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

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


Toy datasets to evaluate algorithms for domain generalization and invariance learning.

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

When is invariance useful in an Out-of-Distribution Generalization problem ?

Linear unit-tests for invariance discovery

Decorr: Environment Partitioning for Invariant Learning and OOD Generalization

Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms


Renewable Electricity Variability, Upscaling and Balancing

Turbines of the Caribbean: Decarbonising Suriname's electricity mix through hydro-supported integration of wind power

Renewable and Sustainable Energy Reviews

A spatiotemporal atlas of hydropower in Africa for energy modelling purposes


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

MoleculeNet: a benchmark for molecular machine learning

PubChem's BioAssay Database

Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

Quantum chemistry structures and properties of 134 kilo molecules

ChEMBL: towards direct deposition of bioassay data

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Inverse molecular design using machine learning: Generative models for matter engineering

Current Status of the AMOEBA Polarizable Force Field

Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

Journal of the American Chemical Society


This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning

GACL: Exemplar-Free Generalized Analytic Continual Learning


Multi Comparison Matrix: A long term approach to benchmark evaluations

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression

aeon: a Python toolkit for learning from time series

Finding Foundation Models for Time Series Classification with a PreText Task

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification


LanideNN: Multilingual Language Identification on Character Window

Exploring Benefits of Transfer Learning in Neural Machine Translation

Short Text Language Identification for Under Resourced Languages

Language Identification on Massive Datasets of Short Messages using an Attention Mechanism CNN

International Conference on Advances in Social Networks Analysis and Mining

Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN

CoSwID, a Code Switching Identification Method Suitable for Under-Resourced Languages

HAL (Le Centre pour la Communication Scientifique Directe)

Unsupervised Preference-Aware Language Identification

Findings of the Association for Computational Linguistics: ACL 2022


Some commonly-used image quality assessment algorithms.

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Learning a No-Reference Quality Metric for Single-Image Super-Resolution


Simple yet SoTA Knowledge Graph Embeddings.

Convolutional 2D Knowledge Graph Embeddings

Canonical Tensor Decomposition for Knowledge Base Completion

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization


This repository contains the code for "How many data points is a prompt worth?"

How Many Data Points is a Prompt Worth?

Are Prompt-based Models Clueless?

Prompting Strategies for Citation Classification

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


inferring sequence-structure motifs using deep learning

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


Amun is a framework that achieves privacy-preserving process mining using differential privacy.

Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining

Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining

Differentially Private Release of Event Logs for Process Mining


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

Fully-Convolutional Siamese Networks for Object Tracking

ECO: Efficient Convolution Operators for Tracking

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Staple: Complementary Learners for Real-Time Tracking

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

Distractor-aware Siamese Networks for Visual Object Tracking

Discriminative Correlation Filter with Channel and Spatial Reliability

International Journal of Computer Vision

Learning Background-Aware Correlation Filters for Visual Tracking

Learning to Track at 100 FPS with Deep Regression Networks


A PyTorch-based suite of deep unsupervised clustering algorithms

Auto-Encoding Variational Bayes

Unsupervised Deep Embedding for Clustering Analysis

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

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

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


AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

State of the Art and Potentialities of Graph-level Learning

Learning to Pool in Graph Neural Networks for Extrapolation


Humanoid robotics prototyping environment based on OpenRAVE

ZMP Support Areas for Multicontact Mobility Under Frictional Constraints

Multi-contact Walking Pattern Generation based on Model Preview Control of 3D COM Accelerations

Capturability-based Pattern Generation for Walking with Variable Height

When to make a step? Tackling the timing problem in multi-contact locomotion by TOPP-MPC

Dynamic Walking over Rough Terrains by Nonlinear Predictive Control of the Floating-base Inverted Pendulum

Biped Stabilization by Linear Feedback of the Variable-Height Inverted Pendulum Model

Balance control using both ZMP and COM height variations: A convex boundedness approach

Balance of Humanoid robot in Multi-contact and Sliding Scenarios.


TreeBeST: Tree Building guided by Species Tree (Ensembl Compara modifications)

Ensembl comparative genomics resources

Database : the journal of biological databases and curation

Lipid droplet biology and evolution illuminated by the characterization of a novel perilipin in teleost fish

Genome-Wide Reconstruction of Rediploidization Following Autopolyploidization across One Hundred Million Years of Salmonid Evolution

ncRNA orthologies in the vertebrate lineage

Mpox, Caused by the MPXV of the Clade IIb Lineage, Goes Global

Tropical medicine and infectious disease

Scripting Analyses of Genomes in Ensembl Plants

Animal-SNPAtlas: a comprehensive SNP database for multiple animals

GeneSeqToFamily: the Ensembl Compara GeneTrees pipeline as a Galaxy workflow

Recurrent selection and reduction in recombination shape the genomic landscape of divergence across multiple population pairs of Green-backed Tit

Genome-Wide Analysis of the Rice Gibberellin Dioxygenases Family Genes


Towards agricultural autonomy: crop row detection under varying field conditions using deep learning

Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots

Vision based Crop Row Navigation under Varying Field Conditions in Arable Fields

Towards Infield Navigation: leveraging simulated data for crop row detection


Project Asuna is a scalable, brand-ready, and open-source building management system. Built for research!

Agile Software Development: Methodologies and Trends

International Journal of Interactive Mobile Technologies (iJIM)

A new approach of moving average method in time series analysis

2013 INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA)

SCRUM model for agile methodology

International Conference on Computing, Communication and Automation

Coopetition in coworking-spaces: value creation and appropriation tensions in an entrepreneurial space

Adapting the scrum framework for agile project management in science: case study of a distributed research initiative

Solidarity as a byproduct of professional collaboration: Social support and trust in a coworking space

Cataloging GitHub Repositories

International Conference on Evaluation & Assessment in Software Engineering

Agile Scrum Issues at Large-Scale Distributed Projects

Research Anthology on Agile Software, Software Development, and Testing

Priorities of Coworking Space Operation Based on Comparison of the Hosts and Users’ Perspectives

Scrum: The methodology to become more agile


The MegaMorph version of GALAPAGOS

Galaxy And Mass Assembly (GAMA): understanding the wavelength dependence of galaxy structure with bulge-disc decompositions

Monthly Notices of the Royal Astronomical Society

Galapagos-2/Galfitm/Gama – Multi-wavelength measurement of galaxy structure: Separating the properties of spheroid and disk components in modern surveys

The KMOS Cluster Survey (KCS). III. Fundamental plane of cluster galaxies at z ≃ 1.80 in JKCS 041

Euclid preparation

Hubble Frontier Field Clusters and Their Parallel Fields: Photometric and Photometric Redshift Catalogs

Zenodo (CERN European Organization for Nuclear Research)


Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

Concept Bottleneck Models

Probabilistic Concept Bottleneck Models


Bibliothèque C et assembleur permettant le chiffrement/déchiffrement AES-128 de messages pour des composants grand public (famille STM32F3/STM32F4)

Breaking Masked Implementations with Many Shares on 32-bit Software Platforms

IACR Transactions on Cryptographic Hardware and Embedded Systems

Generic Attacks against Cryptographic Hardware through Long-Range Deep Learning

Fit the Joint Moments: How to Attack Any Masking Scheme

PROLEAD_SW


General Use Binary Asteroid Simulator

Momentum transfer from the DART mission kinetic impact on asteroid Dimorphos

The excited spin state of Dimorphos resulting from the DART impact

Predictions for the Dynamical States of the Didymos System before and after the Planned DART Impact

Doubly synchronous binary asteroid mass parameter observability

Dynamical Evolution of the Didymos−Dimorphos Binary Asteroid as Rubble Piles following the DART Impact

High-fidelity Modeling of Rotationally Fissioned Asteroids

The accuracy of mutual potential approximations in simulations of binary asteroids


Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures

Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortex

The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal

Exact Partial Information Decompositions for Gaussian Systems Based on Dependency Constraints

MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition


A Large Semantic Knowledge Graph from Wikipedia Categories and Listings

Information Extraction From Co-Occurring Similar Entities

NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker

Transformer-based Subject Entity Detection in Wikipedia Listings


An end to end Deep Neural Network for iris segmentation in unconstrained scenarios

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

Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets

Validating Seed Data Samples for Synthetic Identities – Methodology and Uniqueness Metrics

Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition

Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets

Toward Robust Facial Authentication for Low-Power Edge-AI Consumer Devices

Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects


R-package for elastic net regularized regression with zero sum constraint

Reference point insensitive molecular data analysis

Statistical Analysis of NMR Metabolic Fingerprints: Established Methods and Recent Advances

Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints.

Identification of gene pairs through penalized regression subject to constraints

A decomposition method for lasso problems with zero-sum constraint

Data Normalization in NMR-based Metabolomics


Accessing modified-base data from BAM files.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Chromosome-level, nanopore-only genome and allele-specific DNA methylation of Pallas's cat, Otocolobus manul

Deciphering D4Z4 CpG methylation gradients in fascioscapulohumeral muscular dystrophy using nanopore sequencing

Unraveling the whole genome DNA methylation profile of zebrafish kidney marrow by Oxford Nanopore sequencing


:gift:[ChatGPT4MTevaluation] ErrorAnalysis Prompt for MT Evaluation in ChatGPT

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

Large Language Models Are State-of-the-Art Evaluators of Translation Quality

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis


RTG Tools: Utilities for accurate VCF comparison and manipulation

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

An open resource for accurately benchmarking small variant and reference calls

Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology

SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials

Assessment of human diploid genome assembly with 10x Linked-Reads data

Performance of methods to detect genetic variants from bisulphite sequencing data in a non‐model species

Identification and functional characterization of two novel mutations in KCNJ10 and PI4KB in SeSAME syndrome without electrolyte imbalance

DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework

Computational and mathematical methods in medicine


Object Hallucination in Image Captioning

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Mitigating Gender Bias in Captioning Systems

Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy


Free and open-source application (command line and GUI) providing QSAR models predictions as well as applicability domain and accuracy assessment for physicochemical properties, environmental fate and toxicological endpoints. ==================>Download the latest compiled version from the "releases" tab and run the executable installer.

PaDEL‐descriptor: An open source software to calculate molecular descriptors and fingerprints

The CompTox Chemistry Dashboard: a community data resource for environmental chemistry

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

OPERA models for predicting physicochemical properties and environmental fate endpoints

CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity

Open-source QSAR models for pKa prediction using multiple machine learning approaches

An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling

CATMoS: Collaborative Acute Toxicity Modeling Suite

Predictive Models for Acute Oral Systemic Toxicity: A Workshop to Bridge the Gap from Research to Regulation.

Computational toxicology (Amsterdam, Netherlands)


Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

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

How to Index Item IDs for Recommendation Foundation Models

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

Recommender Systems with Generative Retrieval

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Stealthy Attack on Large Language Model based Recommendation

eCeLLM: Generalizing Large Language Models for E-commerce from
  Large-scale, High-quality Instruction Data

Aligning Large Language Models with Recommendation Knowledge


Over9000 optimizer

Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers

Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science

Long–Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-Worn Sensors

Urban Sound Classification : striving towards a fair comparison


Energy-based Out-of-distribution Detection

Provable Guarantees for Understanding Out-of-distribution Detection

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

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

Towards Accurate Open-Set Recognition via Background-Class Regularization

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection

Gradient-Regularized Out-of-Distribution Detection


Learning Implicit Surfaces from Point Clouds (ECCV 2020)

Shape As Points: A Differentiable Poisson Solver

Points2Surf Learning Implicit Surfaces from Point Clouds

POCO: Point Convolution for Surface Reconstruction

Neural Kernel Surface Reconstruction

Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction


Round matrix elements to lower precision in MATLAB

Simulating Low Precision Floating-Point Arithmetic

Stochastic Rounding and Its Probabilistic Backward Error Analysis

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

Stochastic rounding: implementation, error analysis and applications

Random Matrices Generating Large Growth in LU Factorization with Pivoting

SIAM Journal on Matrix Analysis and Applications

Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning

Multistage mixed precision iterative refinement

Mixed Precision GMRES-based Iterative Refinement with Recycling

A Refined Probabilistic Error Bound for Sums

Mixed Precision FGMRES-Based Iterative Refinement for Weighted Least Squares


Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)

Black-box Adversarial Attacks with Bayesian Optimization

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


A  riscv isa simulator in rust.


Parallel String Graph Construction, Transitive Reduction, and Contig Generation for De Novo Genome Assembly

BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper

Parallel String Graph Construction and Transitive Reduction for De Novo Genome Assembly

Distributed-Memory Parallel Contig Generation for De Novo Long-Read Genome Assembly

Proceedings of the 51st International Conference on Parallel Processing


soliDMFT allows to perform charge self-consistent DFT+DMFT calculations by utilizing the triqs library and VASP.

Effect of charge self-consistency in DFT+DMFT calculations for complex transition metal oxides

Oxygen vacancies in strontium titanate: A DFT+DMFT study

Correlation-induced octahedral rotations in SrMoO3

Charge disproportionation and Hund's insulating behavior in a five-orbital Hubbard model applicable to d^4 perovskites

Charge self-consistency and double-counting in DFT+DMFT calculations for complex transition metal oxides


Measure instruction latency and throughput

Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures

PROCEEDINGS OF 2018 IEEE/ACM PERFORMANCE MODELING, BENCHMARKING AND SIMULATION OF HIGH PERFORMANCE COMPUTER SYSTEMS (PMBS 2018)

Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX

Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels

PROCEEDINGS OF 2019 IEEE/ACM PERFORMANCE MODELING, BENCHMARKING AND SIMULATION OF HIGH PERFORMANCE COMPUTER SYSTEMS (PMBS 2019)

Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX

PROCEEDINGS OF 2020 IEEE/ACM PERFORMANCE MODELING, BENCHMARKING AND SIMULATION OF HIGH PERFORMANCE COMPUTER SYSTEMS (PMBS 2020)

Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors

Supercomputing Frontiers and Innovations


A deep learning model for classifying audio frames into [SPEECH, KCHI, CHI, MAL, FEM] classes.

Speaker Recognition from Raw Waveform with SincNet

pyannote.audio: neural building blocks for speaker diarization

An open-source voice type classifier for child-centered daylong recordings

ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings


HIPP: Modern C++ Toolkit for HPC

MAHGIC: a Model Adapter for the Halo–Galaxy Inter-Connection

Monthly notices of the Royal Astronomical Society

Finding protoclusters to trace galaxy evolution - I. The finder and its performance

A two-phase model of galaxy formation: I. The growth of galaxies and supermassive black holes

A two-phase model of galaxy formation: II. The size-mass relation of dynamically hot galaxies

Measuring Galaxy Abundance and Clustering at High Redshift from Incomplete Spectroscopic Data: Tests on Mock Catalogs

A two-phase model of galaxy formation: III. The formation of globular
  clusters


Message Passing Neural Networks for Simplicial and Cell Complexes

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

Weisfeiler and Lehman Go Cellular: CW Networks

Going Deeper into Permutation-Sensitive Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

CIN++: Enhancing Topological Message Passing


Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

A Survey of Knowledge-enhanced Text Generation

Adversarial Machine Learning in Text Processing: A Literature Survey

Adversarial Machine Learning in Text Analysis and Generation

Knowledge-Enriched Natural Language Generation

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


The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.

Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations

Machine learning and knowledge extraction

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations

A Functional Interpolation Approach to Compute Periodic Orbits in the Circular-Restricted Three-Body Problem

Theory of Functional Connections and Nelder–Mead optimization methods applied in satellite characterization

Orbit transfer using Theory of Functional Connections via change of variables

The Theory of Functional Connections on Vector Spaces

Tangential velocity constraint for orbital maneuvers with Theory of Functional Connections


Port of Aleph to SWI-Prolog

Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME

White-box Induction From SVM Models: Explainable AI with Logic Programming

Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems


Stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium.  These files can be used as standard resource of BED files for use with GA4GH benchmarking tools such as hap.py to stratify true positive, false positive, and false negative variant calls based on genomic context.

A draft human pangenome reference

Best practices for benchmarking germline small-variant calls in human genomes

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Pangenome Graph Construction from Genome Alignment with Minigraph-Cactus

Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle

Comparison of calling pipelines for whole genome sequencing: an empirical study demonstrating the importance of mapping and alignment

GCparagon: evaluating and correcting GC biases in cell-free DNA at the fragment level


Julia package to Compare Graph Embeddings

An unsupervised framework for comparing graph embeddings

Evaluating Node Embeddings of Complex Networks

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

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

Survey of Generative Methods for Social Media Analysis

Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs


Learning deep kernels for exponential family densities

Exponential Family Estimation via Adversarial Dynamics Embedding

Bridging the Gap Between f-GANs and Wasserstein GANs

Batch Stationary Distribution Estimation


Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/


A reading list for deep graph learning acceleration.

AliGraph: A Comprehensive Graph Neural Network Platform

HyGCN: A GCN Accelerator with Hybrid Architecture

SoCC - PaGraph: Scaling GNN training on large graphs via computation-aware caching

GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks

International Symposium on High-Performance Computer Architecture

Hardware Acceleration of Graph Neural Networks

PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

GE-SpMM: General-Purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

DGCL: an efficient communication library for distributed GNN training

PROCEEDINGS OF THE SIXTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS '21)

TinyGNN: Learning Efficient Graph Neural Networks

Accelerating Graph Sampling for Graph Machine Learning using GPUs

Understanding and bridging the gaps in current GNN performance optimizations

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming


Microassembly based somatic variant caller for NGS data

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Lancet: genome-wide somatic variant calling using localized colored DeBruijn graphs

Enhancing sensitivity and controlling false discovery rate in somatic indel discovery


Overview of the Low Altitude Disaster Imagery (LADI) Dataset

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

Large Scale Organization and Inference of an Imagery Dataset for Public Safety

IEEE High Performance Extreme Computing Conference

Window detection in facade images for risk assessment in tunneling

An overview on the evaluated video retrieval tasks at TRECVID 2022

Outreach to Define a Public Safety Communications Model For Broadband Cellular Video

IEEE International Conference on Technologies for Homeland Security


Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

What do Neural Machine Translation Models Learn about Morphology?

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

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference

DeepBase: Deep Inspection of Neural Networks


Image analysis for plasma physics

Laser-Produced Magnetic-Rayleigh-Taylor Unstable Plasma Slabs in a 20 T Magnetic Field

Laser-driven shock compression of “synthetic planetary mixtures” of water, ethanol, and ammonia

Characterizing equation of state and optical properties of dynamically pre-compressed materials

Laboratory radiative accretion shocks on GEKKO XII laser facility for POLAR project


Wind retrievals for the WindCube lidar


Multiwavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift

Global 3D radiation hydrodynamic simulations of proto-Jupiter’s convective envelope

Constraining the turbulence and the dust disk in IM Lup: Onset of planetesimal formation

Collisional evolution of dust and water ice in protoplanetary discs during and after an accretion outburst

Shaping the CO snowline in protoplanetary disks

Azimuthal temperature variations in ISO-Oph2 from multi-frequency ALMA observations


Charting Brain Growth and Aging at High Spatial Precision

Evidence for Embracing Normative Modeling

Using normative models pre-trained on cross-sectional data to evaluate longitudinal changes in neuroimaging data

Personalising Alzheimer’s Disease progression using brain atrophy markers

medRxiv : the preprint server for health sciences

Amygdala Volume is Associated with ADHD Risk and Severity Beyond Comorbidities in Adolescents: Clinical Testing of Brain Chart Reference Standards


Coroutine-Oriented Main-Memory Database Engine (VLDB 2021)

ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Efficiently making (almost) any concurrency control mechanism serializable

CoroBase: Coroutine-Oriented Main-Memory Database Engine


Processing of global environmental layers at various resolutions

Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERGE, CHELSA Climate and WorldClim

Zenodo (CERN European Organization for Nuclear Research)


Two case studies designed to study variability in optimization approach and wake models for wind farm layout optimization. In accordance with IEA Task 37.

Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density

A framework for simultaneous design of wind turbines and cable layout in offshore wind

Topology optimization of wind farm layouts


STM32 Energy Monitoring


The Role of Multiplicative Complexity in Compiling Low T-count Oracle Circuits

Xor-And-Inverter Graphs for Quantum Compilation

ROS: Resource-constrained Oracle Synthesis for Quantum Computers


MAGRATHEA: an open-source spherical symmetric planet interior structure code

Monthly Notices of the Royal Astronomical Society

Confirming the 3:2 Resonance Chain of K2-138

Implications of an improved water equation of state for water-rich planets

The TESS-Keck Survey. XVIII. A Sub-Neptune and Spurious Long-period Signal in the TOI-1751 System

Composition constraints of the TRAPPIST-1 planets from their formation


LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Learning to Simulate Complex Physics with Graph Networks

Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics


Public release items for the DARPA Space/Time Analysis for Cybersecurity (STAC) program

Statistical Model Checking for Hyperproperties

Data-Driven Debugging for Functional Side Channels

Quantitative Mitigation of Timing Side Channels

Guaranteeing Timed Opacity using Parametric Timed Model Checking

ACM Transactions on Software Engineering and Methodology

Parametric Timed Model Checking for Guaranteeing Timed Opacity

Efficient Detection and Quantification of Timing Leaks with Neural Networks

Configuring Timing Parameters to Ensure Execution-Time Opacity in Timed Automata

Electronic Proceedings in Theoretical Computer Science

Incremental Adaptive Attack Synthesis


This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

Bag of Tricks for Efficient Text Classification

A Survey on Cross-Lingual Summarization

Zero-Shot Cross-Lingual Summarization via Large Language Models

IndicBART: A Pre-trained Model for Indic Natural Language Generation

Findings of the Association for Computational Linguistics: ACL 2022

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

mFACE: Multilingual Summarization with Factual Consistency Evaluation

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla


A package for ontology engineering with deep learning and language models.

BERTMap: A BERT-based Ontology Alignment System

Contextual Semantic Embeddings for Ontology Subsumption Prediction

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Language Model Analysis for Ontology Subsumption Inference

DeepOnto: A Python Package for Ontology Engineering with Deep Learning

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

Contextualized Structural Self-supervised Learning for Ontology Matching


A High Performance Unified Framework for Geostatistics on Manycore Systems.

ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems

Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures

Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization

Efficiency assessment of approximated spatial predictions for large datasets

Large-scale Environmental Data Science with ExaGeoStatR


Dinoflagellate Annotation Workflow

Whole-genome duplication in an algal symbiont bolsters coral heat tolerance

Improved Cladocopium goreaui Genome Assembly Reveals Features of a Facultative Coral Symbiont and the Complex Evolutionary History of Dinoflagellate Genes

Massive genome reduction predates the divergence of Symbiodiniaceae dinoflagellates


Software library for FDTD of viscoelastic equation using a staggered grid arrangement with support for GPU and CPU backends

A viscoelastic model for the prediction of transcranial ultrasound propagation: application for the estimation of shear acoustic properties in the human skull

Superposition method for modelling boundaries between media in viscoelastic finite difference time domain simulations.

The Journal of the Acoustical Society of America

BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications


Tools for LOFAR solar data reduction

Imaging of the Quiet Sun in the Frequency Range of 20–80 MHz

Interferometric Imaging, and Beam-Formed Study of a Moving Type-IV Radio Burst with LOFAR


Low-Power Wireless Bus (LWB) is an adaptive, reliable, and efficient communication protocol for low-power wireless embedded systems, where nodes communicate wirelessly as if they were connected to a shared bus.

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges

Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge

BlueFlood: Concurrent Transmissions for Multi-Hop Bluetooth 5 -- Modeling and Evaluation

TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]


Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Roostock, Tron and other EVM-compatible blockchains.

Scilla: a Smart Contract Intermediate-Level LAnguage

Exploiting The Laws of Order in Smart Contracts

Lolisa: Formal Syntax and Semantics for a Subset of the Solidity Programming Language

SAFEVM: A Safety Verifier for Ethereum Smart Contracts

FEther: An Extensible Definitional Interpreter for Smart-Contract Verifications in Coq

A Revisit on Blockchain-based Smart Contract Technology


A curated list of graph data augmentation papers.

Heterogeneous Graph Neural Network via Attribute Completion

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

NodeAug: Semi-Supervised Node Classification with Data Augmentation

Graph Data Augmentation for Graph Machine Learning: A Survey

Data Augmentation for Graph Classification

International Conference on Information and Knowledge Management

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks

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


Polyglot Live Programming with GraalVM, the Language Server Protocol (LSP), and VS Code.

Exploratory and Live, Programming and Coding: A Literature Study Comparing Perspectives on Liveness

Babylonian-style Programming: Design and Implementation of an Integration of Live Examples into General-purpose Source Code

Example-based live programming for everyone: building language-agnostic tools for live programming with LSP and GraalVM

SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software

GraalSqueak: toward a smalltalk-based tooling platform for polyglot programming

Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes

Implementing Babylonian/S by Putting Examples Into Contexts: Tracing Instrumentation for Example-based Live Programming as a Use Case for Context-oriented Programming

Proceedings of the Workshop on Context-oriented Programming  - COP '19


A Unified Python Library for Graph Prompting

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

A Survey of Graph Meets Large Language Model: Progress and Future Directions

Graph Prompt Learning: A Comprehensive Survey and Beyond

All in One and One for All: A Simple yet Effective Method towards
  Cross-domain Graph Pretraining

Prompt Learning on Temporal Interaction Graphs

ProG: A Graph Prompt Learning Benchmark

All in One: Multi-Task Prompting for Graph Neural Networks (Extended
  Abstract)

Urban Region Pre-training and Prompting: A Graph-based Approach

Does Graph Prompt Work? A Data Operation Perspective with Theoretical
  Analysis


A macOS menu bar application that displays live air quality data from the nearest sensor station.


Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia

Transcriptome wide association studies: general framework and methods


It is a forest of random projection trees

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

Approximate kNN Classification for Biomedical Data

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings

Exact and/or Fast Nearest Neighbors


Official repository for RawNet, RawNet2, and RawNet3

RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms

Pushing the limits of raw waveform speaker recognition

ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models

CoMoSVC: Consistency Model-based Singing Voice Conversion

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System


An R Interface to the Daymet Web Services

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

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


FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels

On Sparse Regression LDPC Codes


An open-source framework for self-supervised recommender systems.

Self-Supervised Learning for Recommender Systems: A Survey

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation

Embedding in Recommender Systems: A Survey

Long-tail Augmented Graph Contrastive Learning for Recommendation


Potential Field Source Surface model package for Python

Magnetic Connectivity of the Ecliptic Plane within 0.5 au: Potential Field Source Surface Modeling of the First Parker Solar Probe Encounter

The Astrophysical Journal Supplement Series

Prediction and Verification of Parker Solar Probe Solar Wind Sources at 13.3 R_⊙

Constraining Global Coronal Models with Multiple Independent Observables

Test Problems for Potential Field Source Surface Extrapolations of Solar and Stellar Magnetic Fields


Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

Inductive Representation Learning on Large Graphs

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

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research


Scripts for building a geo-located web corpus using Common Crawl data

Mapping Languages: The Corpus of Global Language Use

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Mapping Languages and Demographics with Georeferenced Corpora


Succinct data structures in C/C++

PTHash: Revisiting FCH Minimal Perfect Hashing

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

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

Rank/Select Queries over Mutable Bitmaps


Making Energy Systems Modeling as simple as a linear regression in R


Python code for Biased tracers in redshift space

The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data

Journal of Cosmology and Astroparticle Physics

Limits on wCDM from the EFTofLSS with the PyBird code

Early modified gravity in light of the H-0 tension and LSS data

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Dark sector to restore cosmological concordance

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Limits on primordial non-Gaussianities from BOSS galaxy-clustering data

Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures

Consistency of effective field theory analyses of the BOSS power spectrum

Limits on clustering and smooth quintessence from the EFTofLSS


This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Central Control Over Distributed Routing

SIGCOMM'15: PROCEEDINGS OF THE 2015 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION

A Survey of Network Virtualization Techniques for Internet of Things Using SDN and NFV

Contention-Aware Performance Prediction For Virtualized Network Functions

SIGCOMM '20: PROCEEDINGS OF THE 2020 ANNUAL CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION ON THE APPLICATIONS, TECHNOLOGIES, ARCHITECTURES, AND PROTOCOLS FOR COMPUTER COMMUNICATION

Automated synthesis of adversarial workloads for network functions

PROCEEDINGS OF THE 2018 CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION (SIGCOMM '18)

Automated SmartNIC Offloading Insights for Network Functions

Symposium on Operating Systems Principles

Fault Tolerant Service Function Chaining

SLA-NFV: an SLA-aware High Performance Framework for Network Function Virtualization

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION (SIGCOMM '16)

Approximation algorithms for data-intensive service chain embedding

Optimal Virtual Network Embeddings for Tree Topologies

On Parallel and Hitless vSDN Reconfiguration


Github for files currently published in the IPD-IMGT/HLA FTP Directory hosted at the European Bioinformatics Institute

Connecting MHC-I-binding motifs with HLA alleles via deep learning

TypeLoader2: Automated submission of novel HLA and killer‐cell immunoglobulin‐like receptor alleles in full length

Assessment of HLA-DPB1 genetic variation using an HLA-DP tool and its implications in clinical transplantation

SpecHLA enables full-resolution HLA typing from sequencing data


Sandia National Laboratories' Albany multiphysics code

Predicting the mechanical response of oligocrystals with deep learning

MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

Zenodo (CERN European Organization for Nuclear Research)

Machine learning models of plastic flow based on representation theory

On the Scalability of the Albany/FELIX first-order Stokes Approximation ice Sheet Solver for Large-Scale Simulations of the Greenland and Antarctic ice Sheets

Mesh-based graph convolutional neural networks for modeling materials with microstructure

GRINS: A Multiphysics Framework Based on the libMesh Finite Element Library

Comparison of dislocation density tensor fields derived from discrete dislocation dynamics and crystal plasticity simulations of torsion

An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions

The IMA volumes in mathematics and its applications


A framework for the real-time network traffic analysis based on world-leading technologies for distributed stream processing, network traffic monitoring, and visualization.

A performance benchmark for NetFlow data analysis on distributed stream processing systems

Network Operations and Management Symposium

Toward Stream-Based IP Flow Analysis

Real-time analysis of NetFlow data for generating network traffic statistics using Apache Spark

A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection


Clean version of opm-data without reference results

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling

Efficient reordered nonlinear Gauss–Seidel solvers with higher order for black-oil models

Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer

Actor-critic reinforcement learning leads decision-making in energy systems optimization—steam injection optimization

Parallel Automatic History Matching Algorithm Using Reinforcement Learning

On the impact of heterogeneity-aware mesh partitioning and non-contributing computation removal on parallel reservoir simulations


R scripts for a GHG emissions indicator published on Environmental Reporting BC


Chapel HyperGraph Library (CHGL) - HPC-class Hypergraphs in Chapel

Hypernetwork Science via High-Order Hypergraph Walks

Hypernetwork Science: From Multidimensional Networks to Computational Topology

Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Topological Simplifications of Hypergraphs


GAP Benchmark Suite

The GAP Benchmark Suite

SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface

Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics

DGAP: Efficient Dynamic Graph Analysis on Persistent Memory

Lightweight Frequency-Based Tiering for CXL Memory Systems

MATRYOSHKA: Non-Exclusive Memory Tiering via Transactional Page Migration


CaMa-Flood_v4 development master

Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river


An open-source tool for sequence learning in NLP built on TensorFlow.

Deep Learning on Graphs: A Survey

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

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


nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Using the Output Embedding to Improve Language Models

Does Multimodality Help Human and Machine for Translation and Image Captioning?

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

Multimodal Attention for Neural Machine Translation

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

The Prague Bulletin of Mathematical Linguistics

Factored Neural Machine Translation

Word Representations in Factored Neural Machine Translation

Proceedings of the Second Conference on Machine Translation

Neural Machine Translation by Generating Multiple Linguistic Factors

Statistical Language and Speech Processing

LIUM Machine Translation Systems for WMT17 News Translation Task


COVID-19 related virus data, environmental data and policy data

Taking the pulse of COVID-19: a spatiotemporal perspective

The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective

International journal of environmental research and public health

Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data

A spatiotemporal data collection of viral cases for COVID-19 rapid response

Phased Implementation of COVID-19 Vaccination: Rapid Assessment of Policy Adoption, Reach and Effectiveness to Protect the Most Vulnerable in the US

A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research

International Conference on Data Technologies and Applications


生物信息学软件，资源和工具库的精选列表

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

A survey of best practices for RNA-seq data analysis

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

LUMPY: A probabilistic framework for structural variant discovery

A universal SNP and small-indel variant caller using deep neural networks

A brief history of bioinformatics

Parasail: SIMD C library for global, semi-global, and local pairwise sequence alignments

A New Online Computational Biology Curriculum

DNAism: exploring genomic datasets on the web with Horizon Charts


TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Boosting Adversarial Attacks with Momentum

Improving Transferability of Adversarial Examples with Input Diversity

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Enhancing the Transferability of Adversarial Attacks through Variance Tuning

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Enhancing Adversarial Example Transferability with an Intermediate Level Attack

Feature Importance-aware Transferable Adversarial Attacks


An ecosystem of data, models and code pipelines to tackle flooding with ML


事件小分队论文笔记

Interactive Grounded Language Acquisition and Generalization in a 2D World

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning

What is Event Knowledge Graph: A Survey

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

Effective Distant Supervision for Temporal Relation Extraction


MCMC sample analysis, kernel densities, plotting, and GUI

A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy

GetDist: a Python package for analysing Monte Carlo samples

Cobaya: code for Bayesian analysis of hierarchical physical models

Modelling and interpreting spectral energy distributions of galaxies with BEAGLE

Monthly Notices of the Royal Astronomical Society

Cluster Cosmology Constraints from the 2500 deg^2 SPT-SZ Survey:
  Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble
  Space Telescope

Early dark energy does not restore cosmological concordance

Probing the interaction between dark matter and dark energy in the presence of massive neutrinos

Echo of interactions in the dark sector

Constraining early dark energy with large-scale structure


A Free and Open Source Python Library for Multiobjective Optimization

Performance-based screening of porous materials for carbon capture

An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering

IEEE transactions on bio-medical engineering

Cooperative adaptive management of the Nile River with climate and socio-economic uncertainties

Multi-agent Dynamic Algorithm Configuration

Bayesian Optimization over Permutation Spaces

An extension of the non-inferior set estimation algorithm for many objectives

European Journal of Operational Research

Supplementary material to "Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK"

Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints

An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation


Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Companion Proceedings of The 2019 World Wide Web Conference

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

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

A Transformer-based Framework for Multivariate Time Series Representation Learning

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

USAD: UnSupervised Anomaly Detection on Multivariate Time Series

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks


ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

ktrain: A Low-Code Library for Augmented Machine Learning

Offensive language identification in Dravidian code mixed social media text

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset

Politics and Politeness: Analysis of Incivility on Twitter During the 2020 Democratic Presidential Primary

Perspectives of Non-Expert Users on Cyber Security and Privacy: An Analysis of Online Discussions on Twitter

Emotion detection of social data: APIs comparative study

The Quality Assist: A Technology-Assisted Peer Review Based on Citation Functions to Predict the Paper Quality


QALD sources (data, website, documents, scripts) https://qald.aksw.org/

ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph

North American Chapter of the Association for Computational Linguistics

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

A Universal Question-Answering Platform for Knowledge Graphs

The Qanary Ecosystem: Getting New Insights by Composing Question Answering Pipelines

Transformer based Natural Language Generation for Question-Answering

Proceedings of the 13th International Conference on Natural Language Generation

Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data

What is in the KGQA Benchmark Datasets? Survey on Challenges in Datasets for Question Answering on Knowledge Graphs

Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs

International Conference on the Theory of Information Retrieval

QueDI: From Knowledge Graph Querying to Data Visualization