15000 Ellipsoidal Binary Candidates in TESS: Orbital Periods, Binary Fraction, and Tertiary Companions

USuRPER: Unit-sphere representation periodogram for full spectra

New periodograms separating orbital radial velocities and spectral shape variation

An irradiated-Jupiter analogue hotter than the Sun


[NeurIPS 2022]  Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

PromptDet: Towards Open-vocabulary Detection using Uncurated Images


HTOF: Code which parses the intermediate data from Hipparcos and Gaia and fits astrometric solutions to those data. Capable of computing likelyhoods and parameter errors in line with the catalog.

orvara: An Efficient Code to Fit Orbits Using Radial Velocity, Absolute, and/or Relative Astrometry

htof: A New Open-source Tool for Analyzing Hipparcos, Gaia, and Future Astrometric Missions

The Masses of a Sample of Radial-velocity Exoplanets with Astrometric Measurements

Asteroseismology of iota Draconis and Discovery of an Additional Long-period Companion


Dromedary: towards helpful, ethical and reliable LLMs.

Llama 2: Open Foundation and Fine-Tuned Chat Models

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

The False Promise of Imitating Proprietary LLMs


NOW - Numerical Optimization of gradient Waveforms

Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding

Tensor-valued diffusion MRI in under 3 minutes: An initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors

Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

Improved fibre dispersion estimation using b-tensor encoding

Cardiac q‐space trajectory imaging by motion‐compensated tensor‐valued diffusion encoding in human heart in vivo

In vivo diffusion MRI of the human heart using a 300 mT/m gradient system

Visualizing orientation-specific relaxation-diffusion features mapped onto orientation distribution functions estimated via nonparametric Monte Carlo MRI signal inversion


An open-source CRF Reference String Parsing Package

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

hyperdoc2vec: Distributed Representations of Hypertext Documents

A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature

Empirical Methods in Natural Language Processing

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles

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

A Study of Reuse and Plagiarism in Speech and Natural Language Processing papers

HAL (Le Centre pour la Communication Scientifique Directe)

Providing and Analyzing NLP Terms for our Community

Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles


Quality information extraction at web scale. Edit

Neural Open Information Extraction

Span Model for Open Information Extraction on Accurate Corpus

A Sentence Simplification System for Improving Relation Extraction

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling

International Conference on Computational Semantics

Analysing Errors of Open Information Extraction Systems

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

AI-driven streamlined modeling: experiences and lessons learned from multiple domains

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models


Stanford Open Information Extraction made simple!

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

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering

Proceedings of the 25th Conference on Computational Natural Language Learning


EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation

TRUE: Re-evaluating Factual Consistency Evaluation

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

Post Turing: Mapping the landscape of LLM Evaluation

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison


Metronome system documentation

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Sidechains and interoperability

Survey of Interoperability in Electronic Health Records Management and Proposed Blockchain Based Framework: MyBlockEHR

Atomic Crosschain Transactions for Ethereum Private Sidechains

Decentralized Cross-Blockchain Asset Transfers

Decentralized cross-blockchain asset transfers with transfer confirmation


a Multi-aperture Image Reconstruction  Algorithm

MIRC-X: A Highly Sensitive Six-telescope Interferometric Imager at the CHARA Array

The central parsec of NGC 3783: a rotating broad emission line region, asymmetric hot dust structure, and compact coronal line region

Thermal imaging of dust hiding the black hole in the Active Galaxy NGC
  1068

Principles of image reconstruction in optical interferometry: tutorial

Journal of the Optical Society of America. A, Optics, image science, and vision

Multiple star systems in the Orion nebula

Why chromatic imaging matters


Creative Commons Attribution Share Alike 4.0 International

The Schema-Guided Dialogue Dataset

Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

The Eighth Dialog System Technology Challenge

Schema-Guided Dialogue State Tracking Task at DSTC8

SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems

User Simulation for Evaluating Information Access Systems


A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

A proof that multiple waves propagate in ensemble-averaged particulate materials

Reflection from a multi-species material and its transmitted effective wavenumber

Proceedings. Mathematical, physical, and engineering sciences

Multiple Waves Propagate in Random Particulate Materials

The average transmitted wave in random particulate materials


An implementation of the 3SPN2 and 3SPN2.C coarse-grained DNA forcefields in OpenMM

An experimentally-informed coarse-grained 3-site-per-nucleotide model of DNA: Structure, thermodynamics, and dynamics of hybridization

Coarse-grained modeling of DNA curvature

OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations

A structural dynamics model for how CPEB3 binding to SUMO2 can regulate translational control in dendritic spines


Pytorch implementation of the CREPE pitch tracker

Cross-domain Neural Pitch and Periodicity Estimation

Learning and controlling the source-filter representation of speech with a variational autoencoder

Coding Speech through Vocal Tract Kinematics

DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training

HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input


DEPRECATED. See Talk-Api.

PLANET HUNTERS: A TRANSITING CIRCUMBINARY PLANET IN A QUADRUPLE STAR SYSTEM

The Milky Way Project First Data Release: a bubblier Galactic disc

Monthly Notices of the Royal Astronomical Society

The notes from nature tool for unlocking biodiversity records from museum records through citizen science

PLANET HUNTERS. V. A CONFIRMED JUPITER-SIZE PLANET IN THE HABITABLE ZONE AND 42 PLANET CANDIDATES FROM THE KEPLER ARCHIVE DATA

Planet Hunters: Assessing the Kepler Inventory of Short Period Planets

Citizen Science: Contributions to Astronomy Research

Planet Hunters: New Kepler planet candidates from analysis of quarter 2


Open Energy Outlook for the United States


Tinker-HP: High-Performance Massively Parallel Evolution of Tinker on CPUs & GPUs

Tinker-HP: Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields Using GPUs and Multi-GPU Systems

Scalable hybrid deep neural networks/polarizable potentials biomolecular simulations including long-range effects

Development of the Quantum-Inspired SIBFA Many-Body Polarizable Force Field: Enabling Condensed-Phase Molecular Dynamics Simulations

Journal of chemical theory and computation

Lambda-ABF: Simplified, Portable, Accurate, and Cost-Effective Alchemical Free-Energy Computation


Various public documents, whitepapers and articles about APT campaigns

HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows

SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse

SecureBERT: A Domain-Specific Language Model for Cybersecurity

Detecting C&C Server in the APT Attack based on Network Traffic using Machine Learning

International Journal of Advanced Computer Science and Applications

AULD: Large Scale Suspicious DNS Activities Detection via Unsupervised Learning in Advanced Persistent Threats


Multi-scenario Extreme Weather Simulator (MEWS)

Multi-scenario Extreme Weather Simulator application to heat waves: Ko’olauloa community resilience hub

Science and Technology for the Built Environment


A set of tools for processing Quantitative MR Images

hMRI – A toolbox for quantitative MRI in neuroscience and clinical research

Behavioral, neuroanatomical, and molecular correlates of resilience and susceptibility to maternal immune activation

Whole-brain ex-vivo quantitative MRI of the cuprizone mouse model

Peripheral inflammation is associated with micro-structural and functional connectivity changes in depression-related brain networks

Individual behavioral trajectories shape whole-brain connectivity in mice

Mapping the impact of exposure to maternal immune activation on juvenile Wistar rat brain macro- and microstructure during early post-natal development

Using quantitative MRI to study brain responses to immune challenge with interferon-α


Collection template and associated materials for SARS-CoV-2 metadata

Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package

The PHA4GE SARS-CoV-2 Contextual Data Specification for Open Genomic Epidemiology

PHA4GE quality control contextual data tags: standardized annotations for sharing public health sequence datasets with known quality issues to facilitate testing and training


HAKE-Action in PyTorch

PaStaNet: Toward Human Activity Knowledge Engine

HOI Analysis: Integrating and Decomposing Human-Object Interaction

HAKE: Human Activity Knowledge Engine

HAKE: A Knowledge Engine Foundation for Human Activity Understanding


Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

Efficient Wait-k Models for Simultaneous Machine Translation

Stream-level Latency Evaluation for Simultaneous Machine Translation

Better Simultaneous Translation with Monotonic Knowledge Distillation

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

The AISP-SJTU Simultaneous Translation System for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

Enhanced Simultaneous Machine Translation with Word-level Policies


Video codec based point cloud compression (V-PCC) test model

Multiscale Point Cloud Geometry Compression

BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario

FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud Video Streaming

XR Carousel: A Visualization Tool For Volumetric Video

MMSYS '21: PROCEEDINGS OF THE 2021 MULTIMEDIA SYSTEMS CONFERENCE

A QoE Model in Point Cloud Video Streaming

BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios

Hierarchical Prior-based Super Resolution for Point Cloud Geometry
  Compression

Point Cloud Geometry Compression Based on Multi-Layer Residual Structure

gpcgc: a green point cloud geometry coding method


:smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Task2Dial: A Novel Task and Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents

LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable
  Objectives

ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions?

Multidisciplinary International Symposium on Disinformation in Open Online Media

GiCCS: A German in-Context Conversational Similarity Benchmark

Zenodo (CERN European Organization for Nuclear Research)


Tensorflow based deep-learning library.

Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis

Rethinking Convolutional Semantic Segmentation Learning

Deep Learning: Generalization Requires Deep Compositional Feature Space Design


A miniaturized version of the Arcade Learning Environment.

The Arcade Learning Environment: An Evaluation Platform for General Agents

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research

MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments.

Gradient Temporal-Difference Learning with Regularized Corrections

Robust Reinforcement Learning via Adversarial Kernel Approximation

A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions

Improving Deep Reinforcement Learning by Reducing the Chain Effect of
  Value and Policy Churn


An extension of LPeg that supports labeled failures

Syntax error recovery in parsing expression grammars

Error Reporting in Parsing Expression Grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars

Error recovery in parsing expression grammars through labeled failures and its implementation based on a parsing machine

Journal of Visual Languages and Computing


Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

On Scale-out Deep Learning Training for Cloud and HPC

Democratizing Production-Scale Distributed Deep Learning

Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms.

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks


This pipeline is executing a RE-EDS run for relative free energy calculations. It can be used for example for calculation of hydration free energies or ligand binding free energies.

Efficient Round-Trip Time Optimization for Replica-Exchange Enveloping Distribution Sampling (RE-EDS)

Replica exchange enveloping distribution sampling (RE-EDS): A robust method to estimate multiple free-energy differences from a single simulation

An Alternative to Conventional λ-Intermediate States in Alchemical Free Energy Calculations: λ-Enveloping Distribution Sampling

Journal of chemical information and modeling

Accounting for Solvation Correlation Effects on the Thermodynamics of Water Networks in Protein Cavities

Relative free-energy calculations for scaffold hopping-type transformations with an automated RE-EDS sampling procedure

Journal of computer-aided molecular design

Replica-Exchange Enveloping Distribution Sampling Using Generalized AMBER Force-Field Topologies: Application to Relative Hydration Free-Energy Calculations for Large Sets of Molecules

Accelerating Alchemical Free Energy Prediction Using a Multistate Method: Application to Multiple Kinases


Atmospheric fluid dynamics solver optimized for GPUs.

Revisiting the Phase Curves of WASP-43b: Confronting Re-analyzed Spitzer Data with Cloudy Atmospheres

Three-dimensional Circulation Driving Chemical Disequilibrium in WASP-43b

THOR 2.0: Major Improvements to the Open-source General Circulation Model

The Astrophysical Journal Supplement Series

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b

Examining NHD versus QHD in the GCM THOR with non-grey radiative transfer for the hot Jupiter regime


VVdeC, the Fraunhofer Versatile Video Decoder

Versatile Video Coding Standard: A Review From Coding Tools to Consumers Deployment

Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations

A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard

The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong

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

Performance analysis of optimized versatile video coding software decoders on embedded platforms

Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC


Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Neural Machine Translation of Rare Words with Subword Units

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Unsupervised Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Linguistic Input Features Improve Neural Machine Translation

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

BPE-Dropout: Simple and Effective Subword Regularization

The IIT Bombay English-Hindi Parallel Corpus


A Semi-Automated Machine Learning Pipeline. Developed by the Shiu Lab. Implemented using SciKit-Learn

Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis Roots1[OPEN]

The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana

Within- and cross-species predictions of plant specialized metabolism genes using transfer learning

Modeling alternative translation initiation sites in plants reveals evolutionarily conservedcis-regulatory codes in eukaryotes


Linear framework to combine tractography and tissue micro-structure estimation with diffusion MRI

Microstructure Informed Tractography: Pitfalls and Open Challenges

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Plis de passage in the superior temporal sulcus: Morphology and local connectivity

Fiber up‐sampling and quality assessment of tractograms – towards quantitative brain connectivity

The Human Brain Connectome Weighted by the Myelin Content and Total Intra-Axonal Cross-Sectional Area of White Matter Tracts

Evaluation of tractogram filtering methods using human-like connectome phantoms

Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses


The SUMMIT simulator

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

GAMMA: A General Agent Motion Model for Autonomous Driving

Simulating Autonomous Driving in Massive Mixed Urban Traffic


Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Membership Inference Attacks From First Principles

Enhanced Membership Inference Attacks against Machine Learning Models

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

Low-Cost High-Power Membership Inference by Boosting Relativity

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Biosignal Processing in Python

PTB-XL, a large publicly available electrocardiography dataset

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

IEEE Transactions on Instrumentation and Measurement

Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?

A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients

Development of a rapid and economic in vivoelectrocardiogram platform for cardiovascular drug assay and electrophysiology research in adult zebrafish

A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction

Hyperglycemia Identification Using ECG in Deep Learning Era

Techniques for visualizing LSTMs applied to electrocardiograms

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

Subjective and physiological responses towards daylit spaces with contemporary façade patterns in virtual reality: Influence of sky type, space function, and latitude


A wrapper script to build whole-program LLVM bitcode files

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

PACStack: an Authenticated Call Stack

Mart: a mutant generation tool for LLVM

Protecting the stack with PACed canaries

Taming transitive redundancy for context-free language reachability

Proceedings of the ACM on Programming Languages

Recursive State Machine Guided Graph Folding for Context-Free Language Reachability

Proceedings of the ACM on programming languages

Evaluating Manual Intervention to Address the Challenges of Bug Finding with KLEE

FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods

TrackFM: Far-out Compiler Support for a Far Memory World

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1

IOLLVM: enhance version of OLLVM

Artificial Intelligence Trends & Technologies


List of software packages for multi-omics analysis

State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing

Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling

Canonical correlation analysis for multi-omics: Application to cross-cohort analysis

Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging


Add-On to NGSolve for unfitted finite element discretizations (XFEM, CutFEM, TraceFEM, etc...)

Projection-based reduced order models for a cut finite element method in parametrized domains

Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data

A reduced order model for a stable embedded boundary parametrized Cahn-Hilliard phase-field system based on cut finite elements

High-order space–time finite element methods for the Poisson–Nernst–Planck equations: Positivity and unconditional energy stability

A Reduced Order Cut Finite Element method for geometrically parameterized steady and unsteady Navier-Stokes problems

Random geometries for optimal control PDE problems based on fictitious domain FEMs and cut elements

An Unfitted Finite Element Method for Two-Phase Stokes Problems with Slip Between Phases

Equal Higher Order Analysis of an Unfitted Discontinuous Galerkin Method for Stokes Flow Systems


EnsEMBL Hive - a system for creating and running pipelines on a distributed compute resource

The tuatara genome reveals ancient features of amniote evolution

Genome analysis of a major urban malaria vector mosquito, Anopheles stephensi

uap: reproducible and robust HTS data analysis

Variant calling across 505 openly consented samples from four Gambian populations on GRCh38


A PyTorch implementation of Implicit Q-Learning

Offline Reinforcement Learning with Implicit Q-Learning

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Survival Instinct in Offline Reinforcement Learning

Improving Offline RL by Blending Heuristics


Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks

Learnable Subspace Clustering

A Deep Bag-of-Features Model for Music Auto-Tagging

A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet)


[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

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

Generative Prompt Tuning for Relation Classification

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

Modeling Multi-Granularity Hierarchical Features for Relation Extraction

Retrieval-Augmented Generation-based Relation Extraction

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


Estimation of Single-Cell Potency with Single Cell Entropy

Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data

Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome

Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT)

Methods in molecular biology (Clifton, N.J.)

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight

Charting cellular differentiation trajectories with Ricci flow


AR1* with Latent Replay, implemented in PyTorch

Latent Replay for Real-Time Continual Learning

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays


The database contains a vast set of data on the properties of glass materials.

Designing optical glasses by machine learning coupled with a genetic algorithm

ViscNet: Neural network for predicting the fragility index and the temperature-dependency of viscosity

Predicting and interpreting oxide glass properties by machine learning using large datasets

GlassNet: A multitask deep neural network for predicting many glass properties

Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning

Revealing the Compositional Control of Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses

Machine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts

Artificial neural networks for predicting the viscosity of lead-containing glasses


This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

graph2vec: Learning Distributed Representations of Graphs

Explainable Classification of Brain Networks via Contrast Subgraphs

Learning based Methods for Code Runtime Complexity Prediction

Machine learning for learner English

International Journal of Learner Corpus Research

State of the Art and Potentialities of Graph-level Learning

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia

Learning distributed representations of graphs with Geo2DR


A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Consistency-Aware Recommendation for User-Generated Item List Continuation

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

ACM Transactions on Intelligent Systems and Technology

Learning Post-Hoc Causal Explanations for Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


Pytorch Implementation of Neural Architecture Optimization

Neural Architecture Optimization

Semi-Supervised Neural Architecture Search

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

Understanding and Improving One-shot Neural Architecture Optimization.

Balanced One-shot Neural Architecture Optimization


TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

Error-Bounded Graph Anomaly Loss for GNNs

International Conference on Information and Knowledge Management

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning

IEEE transactions on neural networks and learning systems

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection


A fast python implementation of DTU MVS 2014 evaluation

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives

PSDF: Prior-Driven Neural Implicit Surface Learning for Multi-view Reconstruction

Enhancing Neural Rendering Methods with Image Augmentations


How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

Boundary loss for highly unbalanced segmentation

A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation

Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

A Novel Boundary Loss Function in Deep Convolutional Networks to Improve the Buildings Extraction From High-Resolution Remote Sensing Images

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

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation


The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

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

Evaluating progress in automatic chest X-ray radiology report generation

Radiology-Aware Model-Based Evaluation Metric for Report Generation

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It


Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A question-entailment approach to question answering

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

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

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

Question-aware Transformer Models for Consumer Health Question Summarization

MedAide: Leveraging Large Language Models for On-Premise Medical
  Assistance on Edge Devices

Towards Summarizing Healthcare Questions in Low-Resource Setting

International Conference on Computational Linguistics

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision


Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist

A Closer Look into Automatic Evaluation Using Large Language Models

Self Information Update for Large Language Models through Mitigating Exposure Bias

Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search

PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024

Fusion-Eval: Integrating Assistant Evaluators with LLMs

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison


Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis


Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

Pareto Multi-Task Learning

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Multi-Task Learning with Multi-Task Optimization


Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms


RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Model Selection in Contextual Stochastic Bandit Problems

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity

Posterior Sampling for Reinforcement Learning Without Episodes

Towards Tractable Optimism in Model-Based Reinforcement Learning


CORRO code

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning

Disentangling Policy from Offline Task Representation Learning via
  Adversarial Data Augmentation


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

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.


A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

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

基因组蛋白质组与生物信息学报

siVAE: interpretable deep generative models for single-cell transcriptomes


Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Optimized Deep Encoder-Decoder Methods for Crack Segmentation

Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model

Advances in Deep Concealed Scene Understanding

Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images

Intelligent Detection Method for Concrete Dam Surface Cracks Based on Two-Stage Transfer Learning

Deeper and Mixed Supervision for Salient Object Detection in Automated Surface Inspection


The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals


IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell

Circular RNAs in human cancer

Expression profiling of circular RNAs and their potential role in early-stage diabetic cardiomyopathy

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

Identification and Functional Prediction of CircRNAs in Leaves of F1 Hybrid Poplars with Different Growth Potential and Their Parents

International journal of molecular sciences


This is updated version of the dataset for Chinese community medical question answering.

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine

Distinct but correct: generating diversified and entity-revised medical response


Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data


Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.

Field Extraction from Forms with Unlabeled Data


Habitat: A Platform for Embodied AI Research

Cognitive Mapping and Planning for Visual Navigation

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Learning Exploration Policies for Navigation

Learning whom to trust in navigation: dynamically switching between classical and neural planning


Nonparametric causal effects based on incremental propensity score interventions

Semiparametric counterfactual density estimation

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace

Incremental causal effects: an introduction and review

Covariate balancing for causal inference on categorical and continuous treatments


Source code for "Packed Levitated Marker for Entity and Relation Extraction"

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

KG-CTG: Citation Generation through Knowledge Graph-guided Large
  Language Models


Tools for finding mobile element insertions from single-end datasets

A virome-wide clonal integration analysis platform for discovering cancer viral etiology

ITR-Seq, a next-generation sequencing assay, identifies genome-wide DNA editing sites in vivo following adeno-associated viral vector-mediated genome editing

Diverse and mobile: eccDNA-based identification of carrot low-copy-number LTR retrotransposons active in callus cultures.

The Plant journal : for cell and molecular biology

Metagenomic analysis of viral genes integrated in whole genome sequencing data of Thai patients with Brugada syndrome


Pytorch implementation of the MAC-Network

Compositional Attention Networks for Machine Reasoning

Guiding Visual Question Answering with Attention Priors


DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning

Zenodo (CERN European Organization for Nuclear Research)

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

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

Soft Actor-Critic Algorithms and Applications

D2RL: Deep Dense Architectures in Reinforcement Learning

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience


Action-based galaxy modeling framework

AGAMA: action-based galaxy modelling architecture

Monthly notices of the Royal Astronomical Society

Diversity of Dark Matter Density Profiles in the Galactic Dwarf Spheroidal Satellites

A New Fokker-Planck Approach for the Relaxation-driven Evolution of Galactic Nuclei

A discrete chemo-dynamical model of the dwarf spheroidal galaxy Sculptor: mass profile, velocity anisotropy and internal rotation

Monthly Notices of the Royal Astronomical Society

Bending waves in the Milky Way’s disc from halo substructure

The Delay Time Distribution of Tidal Disruption Flares

Torus mapper: a code for dynamical models of galaxies

Action-based dynamical models of dwarf spheroidal galaxies: application to Fornax

Cosmic phylogeny: reconstructing the chemical history of the solar neighbourhood with an evolutionary tree

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo


Stefan Engblom's Matlab libraries

A new generation 99 line Matlab code for compliance Topology Optimization and its extension to 3D

Topology optimization with linearized buckling criteria in 250 lines of Matlab

An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization

Structural and Multidisciplinary Optimization


Interpreting Bidirectional Encoder Representations from Transformers (BERT)

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

What Does BERT Learn about the Structure of Language?

Meeting of the Association for Computational Linguistics

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Does BERT Rediscover a Classical NLP Pipeline?


R package for inferring copy number from read depth

ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads

Whole-genome CNV analysis: advances in computational approaches

Detection of False-Positive Deletions from the Database of Genomic Variants


This directory contains code necessary to run the GraphNAS algorithm.

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Search to aggregate neighborhood for graph neural network

Pooling Architecture Search for Graph Classification

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

Simplifying Architecture Search for Graph Neural Network

Neural Architecture Search in Graph Neural Networks

Probabilistic Dual Network Architecture Search on Graphs

Adversarially Robust Neural Architecture Search for Graph Neural Networks

DFG-NAS: Deep and Flexible Graph Neural Architecture Search


Python code for training fair logistic regression classifiers.

Fairness Constraints: Mechanisms for Fair Classification

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

Empirical Risk Minimization under Fairness Constraints

Does mitigating ML's impact disparity require treatment disparity?

From Parity to Preference-based Notions of Fairness in Classification

Learning Fair Classifiers

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Fair Bayesian Optimization

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Algorithmic fairness datasets: the story so far


e-SNLI: Natural Language Inference with Natural Language Explanations

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Explaining Deep Neural Networks

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets

Explanation-based Finetuning Makes Models More Robust to Spurious Cues


BAO Model Fitting Made Easy

Barry and the BAO Model Comparison

DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

Baryon Acoustic Oscillation Theory and Modelling Systematics for the
  DESI 2024 results

HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis

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


Report reverse and ambiguous strand SNPs in GWAS data

A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus

Single Cell Transcriptome and Surface Epitope Analysis of Ankylosing Spondylitis Facilitates Disease Classification by Machine Learning

Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions

Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene–environment correlation

Journal of child psychology and psychiatry, and allied disciplines

snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data

Genome-Wide Gene-Set Analysis Identifies Molecular Mechanisms Associated with ALS


An All-MLP solution for Vision, from Google AI

MLP-Mixer: An all-MLP Architecture for Vision

Understanding Contrastive Learning Requires Incorporating Inductive Biases

Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer

Multilinear Mixture of Experts: Scalable Expert Specialization through
  Factorization


Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative Models

Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations


Flexible Snow Model - a multi-physics energy balance model of accumulation and melt of snow on the ground and in forest canopies

Multi-physics ensemble snow modelling in the western Himalaya

Snow sensitivity to temperature and precipitation change during compound cold–hot and wet–dry seasons in the Pyrenees

Exploring the potential of thermal infrared remote sensing to improve a snowpack model through an observing system simulation experiment


Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"

A Survey on Session-based Recommender Systems

Learning Post-Hoc Causal Explanations for Recommendation

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Proceedings of the 9th International Conference on Digital Public Health

A Systematical Evaluation for Next-Basket Recommendation Algorithms


MarginDistillation: distillation for margin-based softmax

Triplet Distillation for Deep Face Recognition

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks


Submission for MAVEN: Multi-Agent Variational Exploration

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning


exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)

From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles

Empirical Methods in Natural Language Processing

From Stances' Imbalance to Their HierarchicalRepresentation and Detection

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

Investigating Rumor News Using Agreement-Aware Search

International Conference on Information and Knowledge Management

Variational Self-attention Model for Sentence Representation

News Monitor: A Framework for Exploring News in Real-Time

International Conference on Data Technologies and Applications

University of Copenhagen Participation in TREC Health Misinformation Track 2020

A survey on rumor detection and prevention in social media using deep learning

Danish Stance Classification and Rumour Resolution

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?


Final Project for AI Wireless

Over-the-Air Deep Learning Based Radio Signal Classification

IEEE Journal on Selected Topics in Signal Processing

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

Automatic Modulation Classification Using Compressive Convolutional Neural Network

High-Performance Deep Learning Classification for Radio Signals

CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS


Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Semi-Supervised Learning with Deep Generative Models

Categorical Reparameterization with Gumbel-Softmax

Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial


Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

FINE Samples for Learning with Noisy Labels

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


A tool to detect integer bugs in Ethereum smart contracts (ACSAC 2018).

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

Smart Contract Vulnerability Detection Technique: A Survey

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

SolidityCheck : Quickly Detecting Smart Contract Problems Through Regular Expressions

Security analysis of smart contract based rating and review systems: the perilous state of blockchain-based recommendation practices

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

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

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


Investigating patches for fake image classification

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

What makes fake images detectable? Understanding properties that generalize

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning


Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

Universal Representations: A Unified Look at Multiple Task and Domain Learning

Schedule-Robust Online Continual Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning


Platform for few-shot natural language processing: Text Classification, Sequene Labeling.

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

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling


Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Backdoor Defense via Decoupling the Training Process

Rethinking the Trigger of Backdoor Attack

Black-box Detection of Backdoor Attacks with Limited Information and Data

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks

Detection of Backdoors in Trained Classifiers Without Access to the Training Set

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection


Goodness-of-fit functions for comparison of simulated and observed hydrological time series

Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods

On the selection of precipitation products for the regionalisation of hydrological model parameters

Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective

Evaluating five forest models using multi-decadal inventory data from mountain forests

Missing data in bioarchaeology II: A test of ordinal and continuous data imputation

American journal of physical anthropology

Reconstructing missing data by comparing interpolation techniques: Applications for long‐term water quality data

waywiser: Ergonomic Methods for Assessing Spatial Models

The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River


A simple Python implementation of R-PCA

L0-norm Constrained Autoencoders for Unsupervised Outlier Detection

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Anomaly Detection and Automated Labeling for Voter Registration File Changes

Learning low-dimensional manifolds under the L0-norm constraint for unsupervised outlier detection


Measuring radio flux density with ds9

Investigating the spectra and physical nature of galaxy scale jets

MeerKAT discovery of radio emission from the Vela X-1 bow shock

MeerKAT's View of the Bullet Cluster 1E 0657-55.8

Radio Sources Segmentation and Classification with Deep Learning


Google DeepLab V3 for Image Semantic Segmentation

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

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Additional implementation of BIKE (Bit Flipping Key Encapsulation)

PQCrypto - QC-MDPC Decoders with Several Shades of Gray

A toolbox for software optimization of QC-MDPC code-based cryptosystems

Fast polynomial inversion for post quantum QC-MDPC cryptography

On constant-time QC-MDPC decoding with negligible failure rate.

Optimized implementation of QC‐MDPC code‐based cryptography

Concurrency and Computation: Practice and Experience

Hardware-Software Co-Design of BIKE with HLS-Generated Accelerators

An Evaluation of the State-of-the-Art Software and Hardware Implementations of BIKE

Binding BIKE Errors to a Key Pair


A simulation framework for unitary neural networks and photonic devices

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE Journal of Selected Topics in Quantum Electronics

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Recurrent Orthogonal Networks and Long-Memory Tasks

Matrix optimization on universal unitary photonic devices

Accurate Self-Configuration of Rectangular Multiport Interferometers

Asymptotically fault-tolerant programmable photonics

Dual adaptive training of photonic neural networks

Parallel fault-tolerant programming of an arbitrary feedforward photonic network


[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

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

Learning Invariant Molecular Representation in Latent Discrete Space


federated learning autonomous driving in CARLA simulation

Edge Federated Learning via Unit-Modulus Over-The-Air Computation

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication

ACO-Based Scheme in Edge Learning NOMA Networks for Task-Oriented Communications


Efficient baselines for autocurricula in JAX.

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Prioritized Level Replay

Evolving Curricula with Regret-Based Environment Design

Replay-Guided Adversarial Environment Design

minimax: Efficient Baselines for Autocurricula in JAX


download climate data from DWD (German Weather Service)

Potsdam Şehri Hava Sıcaklığının Dalgacık Regresyon Analizi ile Tahmini

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi


Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

Chromatic periodic activity down to 120 megahertz in a fast radio burst

Fourier domain excision of periodic radio frequency interference

pinta: The uGMRT data processing pipeline for the Indian Pulsar Timing Array

Publications of the Astronomical Society of Australia

High precision measurements of interstellar dispersion measure with the upgraded GMRT

Nanohertz gravitational wave astronomy during SKA era: An InPTA perspective

PSR J0437-4715: The Argentine Institute of Radioastronomy 2019–2020 Observational Campaign

Magnetar XTE J1810–197: Spectro-temporal Evolution of Average Radio Emission

A search for pulsars in subdwarf B binary systems and discovery of giant-pulse emitting PSR J0533-4524

Monthly notices of the Royal Astronomical Society

Varying activity and the bursts properties of FRB 20240114A probed with
  GMRT down to 300 MHz

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


Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Rank consistent ordinal regression for neural networks with application to age estimation

Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities


Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

Private Set Generation with Discriminative Information

A Unified View of Differentially Private Deep Generative Modeling

Using Autoencoders on Differentially Private Federated Learning GANs

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation

PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

Accurate Point Cloud Registration with Robust Optimal Transport

Adversarial Self-Supervised Scene Flow Estimation


TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

GP-VAE: Deep Probabilistic Time Series Imputation

SAITS: Self-Attention-based Imputation for Time Series

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Gradient Importance Learning for Incomplete Observations

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask


Efficient Sequence Labeling

The Uppsala Corpus of Student Writings: Corpus Creation, Annotation, and Analysis

Part of Speech Tagging: Shallow or Deep Learning?

Northern European Journal of Language Technology

Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling

Audiobook Stylistics: Comparing print and audio in the bestselling segment

SWEGRAM : A Web-Based Tool for Automatic Annotation and Analysis of Swedish Texts

Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain


The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet domain hidden Markov models and wavelet regularized deconvolution.

Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions

An interpretable MRI reconstruction network with two-grid-cycle correction and geometric prior distillation

Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems

Compressed Sensing for Scalable Robotic Tactile Skins


EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

Towards Robust Vision Transformer

A Light Recipe to Train Robust Vision Transformers

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective

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

Discrete Representations Strengthen Vision Transformer Robustness

Enhance the Visual Representation via Discrete Adversarial Training

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition


Open Chinese Language Pre-trained Model Zoo

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction

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

Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval

IEEE International Joint Conference on Neural Network

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

Co-Matching: Towards Human-Machine Collaborative Legal Case Matching


Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Few-shot Event Detection: An Empirical Study and a Unified View

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction


All one needs to know about fog computing and related edge computing paradigms: A complete survey

Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

Machine Learning at the Network Edge: A Survey

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges


Smith-Waterman local aligner

Accurate detection of complex structural variations using single molecule sequencing

Balancing sensitivity and specificity in distinguishing TCR groups by CDR sequence similarity

Digital data storage on DNA tape using CRISPR base editors

bioRxiv : the preprint server for biology


SV clustering

Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences

Patterns of somatic structural variation in human cancer genomes (vol 578, pg 112, 2020)

African-specific prostate cancer molecular taxonomy


Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis


Spectroscopy Made Easy

The GALAH Survey: non-LTE departure coefficients for large spectroscopic surveys

Measuring precise radial velocities on individual spectral lines

Atomic diffusion and mixing in old stars VII. Abundances of Mg, Ti, and Fe in M30

Convective characteristics of Fe I lines across the solar disc

Probing atmospheric escape through metastable He I triplet lines in 15 exoplanets observed with SPIRou


Official TagMe API wrapper for Python.

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge

Knowledge Rumination for Pre-trained Language Models


An alternative to convolution in neural networks

Escaping the Big Data Paradigm with Compact Transformers

Patches Are All You Need?

Exploring the Sharpened Cosine Similarity

SCS-Net: An efficient and practical approach towards Face Mask Detection


Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model using Koopman Eigenfunction Extended Dynamic Mode Decomposition (KEEDMD).

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach


Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

Learning the exchange-correlation functional from nature with fully differentiable density functional theory

DQC: a Python program package for Differentiable Quantum Chemistry


An automated scoring function to facilitate and standardize the evaluation of goal-directed generative models for de novo molecular design

De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization

Journal of chemical information and modeling

Learning to Extend Molecular Scaffolds with Structural Motifs

Docking-based generative approaches in the search for new drug candidates

MolScore: A scoring and evaluation framework for de novo drug design

ACEGEN: Reinforcement learning of generative chemical agents for drug discovery

PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models


Python implementation of Parker wind models for exoplanet atmospheres

Keck/NIRSPEC Studies of He i in the Atmospheres of Two Inflated Hot Gas Giants Orbiting K Dwarfs: WASP-52b and WASP-177b

Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview

Frontiers in Astronomy and Space Sciences

A High-resolution Non-detection of Escaping Helium in the Ultrahot Neptune LTT 9779b: Evidence for Weakened Evaporation


Object-oriented multi-mesh version of the classic reacting turbulent multiphase flow solver

Comparison of methods for curvature estimation from volume fractions

Capturing thin structures in VOF simulations with two-plane
  reconstruction

Simulating interfacial flows: a farewell to planes


非常全的文言文（古文）-现代文平行语料

Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision


Fish for line detections by exploiting the known velocity structure of the disk.

Sulphur monoxide emission tracing an embedded planet in the HD 100546 protoplanetary disk

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Molecules with ALMA at Planet-forming Scales (MAPS). XVII. Determining the 2D Thermal Structure of the HD 163296 Disk

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Molecules with ALMA at Planet-forming Scales (MAPS). XVI. Characterizing the Impact of the Molecular Wind on the Evolution of the HD 163296 System

UV-driven chemistry as a signpost of late-stage planet formation

Kinematic Structures in Planet-Forming Disks

Discovery of Molecular-line Polarization in the Disk of TW Hya

PRODIGE - Planet-forming disks in Taurus with NOEMA. II. Modeling the CO (2-1) isotopologue emission of the Class II T Tauri disks in Taurus


Model Predictive Control for Quadrotors with extension to Perception-Aware MPC

PAMPC: Perception-Aware Model Predictive Control for Quadrotors

Towards Fully Autonomous UAVs: A Survey

Model Predictive Control for Micro Aerial Vehicles: A Survey

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

User-friendly Comparison of Similarity Algorithms on Wikidata


a fast uniform random tree generator

A Quantitative Study of Pure Parallel Processes

The Combinatorics of Barrier Synchronization


AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs

XPersona: Evaluating Multilingual Personalized Chatbot

DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Multi-Lingual Question Generation with Language Agnostic Language Model

Meeting of the Association for Computational Linguistics

Leveraging Pre-trained Models for Failure Analysis Triplets Generation


GHOST (the Geophysical High-Order Suite for Turbulence) is an accurate and highly scalable pseudospectral code that solves a variety of PDEs often encountered in studies of turbulent flows.

Efficient kinetic Lattice Boltzmann simulation of three-dimensional Hall-MHD turbulence

Initial evolution of 3D turbulence en route to the Kolmogorov state: emergence and transformations of coherent structures, self-similarity and instabilities


[CVPR 2024] EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance


MTet: Multi-domain Translation for English and Vietnamese

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset


Benchmarks for DyNet

DyNet: The Dynamic Neural Network Toolkit

On-the-fly Operation Batching in Dynamic Computation Graphs

Comparing CRF and LSTM performance on the task of morphosyntactic tagging of non-standard varieties of South Slavic languages

International Conference on Computational Linguistics


Guidelines.

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Shared functional specialization in transformer-based language models and the human brain

High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications

Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles

Personalized Text Generation with Fine-Grained Linguistic Control

Generalized Optimal Linear Orders

Event and Entity Extraction from Generated Video Captions


ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

SemEval 2023 Task 6: LegalEval - Understanding Legal Texts

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


Collection of datasets used for Optical Music Recognition

CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

International Journal on Document Analysis and Recognition (IJDAR)

The MUSCIMA++ Dataset for Handwritten Optical Music Recognition

International Conference on Document Analysis and Recognition

From Optical Music Recognition to Handwritten Music Recognition: A baseline

Towards a Standard Testbed for Optical Music Recognition: Definitions, Metrics, and Page Images

Optical Music Recognition with Convolutional Sequence-to-Sequence Models

Recognition of Pen-Based Music Notation: The HOMUS Dataset

International Conference on Pattern Recognition

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Transactions of the International Society for Music Information Retrieval

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

Towards a Universal Music Symbol Classifier

Towards Self-Learning Optical Music Recognition

International Conference on Machine Learning and Applications


Fast Radio Burst Population Synthesis in Python

CHIME/FRB Discovery of 25 Repeating Fast Radio Burst Sources

Interpreting the distributions of FRB observables

Monthly Notices of the Royal Astronomical Society

Fast radio burst dispersion measures and rotation measures and the origin of intergalactic magnetic fields

Monthly notices of the Royal Astronomical Society

Synthesising the repeating FRB population using frbpoppy

Synthesising the intrinsic FRB population using frbpoppy

Redshift estimates for fast radio bursts and implications on intergalactic magnetic fields

Multi-dimensional population modelling using frbpoppy: Magnetars can produce the observed fast radio burst sky

A method for reconstructing the Galactic magnetic field using dispersion of fast radio bursts and Faraday rotation of radio galaxies

Joint inference on the redshift distribution of fast radio burst and on the intergalactic baryon content

How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys


LectureBank Dataset

What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning

R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning

Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data

North American Chapter of the Association for Computational Linguistics

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources


We have moved to https://github.com/limix/limix.

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

LIMIX: genetic analysis of multiple traits

A random forest approach to capture genetic effects in the presence of population structure

Genetic perturbation of PU.1 binding and chromatin looping at neutrophil enhancers associates with autoimmune disease

DNA methylation variation in Arabidopsis has a genetic basis and shows evidence of local adaptation

Gene-level quantitative trait mapping in an expanded C. elegans multiparent experimental evolution panel

Genetic dissection of complex traits using hierarchical biological knowledge

Variation in PU.1 binding and chromatin looping at neutrophil enhancers influences autoimmune disease susceptibility


IXA pipes Named Entity Tagger (http://ixa2.si.ehu.es/ixa-pipes).

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Robust multilingual Named Entity Recognition with shallow semi-supervised features

PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

EliXa: A Modular and Flexible ABSA Platform

Building Named Entity Recognition Taggers via Parallel Corpora

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


A Python library for building atomic neural networks

PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials

Modelling electrochemical systems with finite field molecular dynamics

Training Algorithm Matters for the Performance of Neural Network Potential

Machine learning inference of molecular dipole moment in liquid water

Machine Learning: Science and Technology


[AAAI 2021] Sequential End-to-end Network for Efficient Person Search

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Gallery Filter Network for Person Search


FSA (Fisheries Stock Assessment) package provides R functions to conduct typical introductory fisheries analyses.

Root-Secreted Coumarins and the Microbiota Interact to Improve Iron Nutrition in Arabidopsis

Gut microbiota density influences host physiology and is shaped by host and microbial factors

Diversity, Distribution and Co-occurrence Patterns of Bacterial Communities in a Karst Cave System

Organic Amendments Alleviate Salinity Effects on Soil Microorganisms and Mineralisation Processes in Aerobic and Anaerobic Paddy Rice Soils

Size-Tunable Nanoneedle Arrays for Influencing Stem Cell Morphology, Gene Expression, and Nuclear Membrane Curvature

Dispersal–niche continuum index: a new quantitative metric for assessing the relative importance of dispersal versus niche processes in community assembly

Recycling pathways in cold-water coral reefs: Use of dissolved organic matter and bacteria by key suspension feeding taxa

Productive wetlands restored for carbon sequestration quickly become net CO2 sinks with site-level factors driving uptake variability

Differences in Biofilm Mass, Expression of Biofilm-Associated Genes, and Resistance to Desiccation between Epidemic and Sporadic Clones of Carbapenem-Resistant Acinetobacter baumannii Sequence Type 191

Changes in the Vaginal Microbiome during the Pregnancy to Postpartum Transition

Reproductive sciences (Thousand Oaks, Calif.)


Generates loop invariants for program verification

Overfitting in Synthesis: Theory and Practice (Extended Version)

Ranking LLM-Generated Loop Invariants for Program Verification

LoopInvGen: A Loop Invariant Generator based on Precondition Inference


phylogenetic analyses informed by deep mutational scanning data

Identification of positive selection in genes is greatly improved by using experimentally informed site-specific models

phydms: software for phylogenetic analyses informed by deep mutational scanning

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

bioRxiv : the preprint server for biology


TinyEMU based full system cycle-level micro-architectural research simulator for single-core RISC-V systems


Annotation of genomic regions using transcription factor binding sites and epigenetic data

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

Systems biology for crop improvement

TEPIC 2—an extended framework for transcription factor binding prediction and integrative epigenomic analysis

Integrative prediction of gene expression with chromatin accessibility and conformation data

Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency

Integrative analysis of epigenetics data identifies gene-specific regulatory elements

The adapted Activity-By-Contact model for enhancer-gene assignment and its application to single-cell data

On the problem of confounders in modeling gene expression

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Temporal epigenomic profiling identifies AHR and GLIS1 as super-enhancer controlled regulators of mesenchymal multipotency


Diffusion parameter EStImation with Gibbs and NoisE Removal pipeline

Noninvasive quantification of axon radii using diffusion MRI

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank

CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project

Diffusion imaging of reversible and irreversible microstructural changes within the corticospinal tract in idiopathic normal pressure hydrocephalus

Nanostructure-specific X-ray tomography reveals myelin levels, integrity and axon orientations in mouse and human nervous tissue

Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients

Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder

Axonal damage in the optic radiation assessed by white matter tract integrity metrics is associated with retinal thinning in multiple sclerosis


PyCIL: A Python Toolbox for Class-Incremental Learning

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Large Scale Incremental Learning

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

DER: Dynamically Expandable Representation for Class Incremental Learning

Maintaining Discrimination and Fairness in Class Incremental Learning

Prototype Augmentation and Self-Supervision for Incremental Learning

FOSTER: Feature Boosting and Compression for Class-Incremental Learning


Lowered Isothermal Model Explorer in Python

A family of lowered isothermal models

A stellar-mass black hole population in the globular cluster NGC 6101?

Globular cluster number density profiles using Gaia DR2

The effect of stellar-mass black holes on the central kinematics of ω Cen: a cautionary tale for IMBH interpretations

Radial anisotropy in ω Cen limiting the room for an intermediate-mass black hole

Testing lowered isothermal models with direct N-body simulations of globular clusters

The properties of energetically unbound stars in stellar clusters

The Hubble Space Telescope UV Legacy Survey of Galactic Globular Clusters. XXIII. Proper-motion Catalogs and Internal Kinematics

Mass models of NGC 6624 without an intermediate-mass black hole

A supra-massive population of stellar-mass black holes in the globular cluster Palomar 5


Inquisitive Parrots for Search

InPars: Unsupervised Dataset Generation for Information Retrieval

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

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval

InPars: Data Augmentation for Information Retrieval using Large Language Models

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Multi-objective Representation Learning for Scientific Document Retrieval

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval


A Python interface for reinforcement learning environments

Magnetic control of tokamak plasmas through deep reinforcement learning

dm_control: Software and Tasks for Continuous Control

AndroidEnv: A Reinforcement Learning Platform for Android

Using Unity to Help Solve Intelligence

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

Learning Robust Real-Time Cultural Transmission without Human Data

Mava: a research library for distributed multi-agent reinforcement learning in JAX

PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice


Cingulata (pronounced "tchingulata") is a compiler toolchain and RTE for running C++ programs over encrypted data by means of fully homomorphic encryption techniques.

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

CPU and GPU Accelerated Fully Homomorphic Encryption

KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System

SECURITY IN COMPUTER AND INFORMATION SCIENCES, EURO-CYBERSEC 2018

CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs


High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Synthetic Experience Replay

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Cross-Domain Policy Adaptation via Value-Guided Data Filtering

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness

Cross-Domain Policy Adaptation by Capturing Representation Mismatch

Reinformer: Max-Return Sequence Modeling for Offline RL


A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

International Symposium on Performance Analysis of Systems and Software

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)

Explainable Port Mapping Inference with Sparse Performance Counters for
  AMD's Zen Architectures


Opportunistic Protocol Simulator

Simulating Opportunistic Networks: Survey and Future Directions

IEEE Communications Surveys and Tutorials

My Smartphone tattles: Considering Popularity of Messages in Opportunistic Data Dissemination

Opportunistic Networking Protocol Simulator for OMNeT++

Reactive User Behavior and Mobility Models


Export Emissions to Atmospheric Models


Software for high density electrophysiology

Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina

Scaling Spike Detection and Sorting for Next Generation Electrophysiology

Filter-based models of suppression in retinal ganglion cells: comparison and generalization across species and stimuli


General, high performance algebraic multigrid solver

Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication

Improving Performance Models for Irregular Point-to-Point Communication

Performance Analysis and Optimal Node-aware Communication for Enlarged Conjugate Gradient Methods


Filters for false-positive mutation calls in NGS

The use of technical replication for detection of low-level somatic mutations in next-generation sequencing

Molecular landscape and subtype-specific therapeutic response of nasopharyngeal carcinoma revealed by integrative pharmacogenomics

Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities

Evolutionary Trajectories and Genomic Divergence in Localized Breast Cancers after Ipsilateral Breast Tumor Recurrence


A library for adding additional forces to the REBOUND N-body integration package

REBOUNDx: a library for adding conservative and dissipative forces to otherwise symplectic N-body integrations

Convergent Migration Renders TRAPPIST-1 Long-lived

Ultra-short-period Planets from Secular Chaos

In situ scattering of warm Jupiters and implications for dynamical histories

The Hills Mechanism and the Galactic Center S-stars

Moderately eccentric warm Jupiters from secular interactions with exterior companions

TATOOINE’S FUTURE: THE ECCENTRIC RESPONSE OF KEPLER’S CIRCUMBINARY PLANETS TO COMMON-ENVELOPE EVOLUTION OF THEIR HOST STARS

Capture of stars into gaseous discs around massive black holes: alignment, circularization, and growth

The Effect of General Relativistic Precession on Tidal Disruption Events from Eccentric Nuclear Disks

Connecting HL Tau to the observed exoplanet sample


turboSETI  -- python based SETI search algorithm.

The Breakthrough Listen Search for Intelligent Life: 1.1–1.9 GHz Observations of 692 Nearby Stars

Analysis of the Breakthrough Listen signal of interest blc1 with a technosignature verification framework

NASA and the Search for Technosignatures: A Report from the NASA Technosignatures Workshop

A deep-learning search for technosignatures from 820 nearby stars

The Breakthrough Listen Search for Extraterrestrial Intelligence

Opportunities to Search for Extra-Terrestrial Intelligence with the Five-hundred-meter Aperture Spherical radio Telescope


Data package: conventional power plants


Balmorel Model

Making the sun shine at night: comparing the cost of dispatchable concentrating solar power and photovoltaics with storage

Energy Sources, Part B: Economics, Planning, and Policy

A unified European hydrogen infrastructure planning to support the rapid scale-up of hydrogen production

Day-ahead Market Modelling of Large-scale Highly-renewable Multi-energy Systems: Analysis of the North Sea Region Towards 2050

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050


:microscope: Assemble large genomes using short reads

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage

Konnector v2.0: pseudo-long reads from paired-end sequencing data

Population Genomic Approaches for Weed Science

ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads

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

DNA glycosylases provide antiviral defence in prokaryotes

FrangiPANe, a tool for creating a panreference using left behind reads

The role of Xpert MTB/RIF using bronchoalveolar lavage fluid in active screening: insights from a tuberculosis outbreak in a junior school in eastern China

Draft genome sequencing and assembly of Risso's dolphin, Grampus griseus


Parsing Expression Grammar Template Library

Syntax error recovery in parsing expression grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars


Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression

A Super Fast Algorithm for Estimating Sample Entropy

Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective

A Deep Learning Framework for Intelligent Fault Diagnosis Using AutoML-CNN and Image-like Data Fusion


Source code and checkpoints for legal pre-trained language models.

Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals


Constrained Policy Optimization

Benchmarking Deep Reinforcement Learning for Continuous Control

Constrained Policy Optimization

Constrained Markov Decision Processes via Backward Value Functions

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Reconnaissance and Planning algorithm for constrained MDP


TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

Improved Techniques for Training GANs

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions


Code for Editing Factual Knowledge in Language Models

Fast Model Editing at Scale

Plug-and-Play Adaptation for Continuously-updated QA

Boosting Natural Language Generation from Instructions with Meta-Learning


Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Multi‐texture features and optimized DeepNet for COVID‐19 detection using chest x‐ray images

Concurrency and computation : practice & experience

Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks

A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022

COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario

Computers & electrical engineering : an international journal

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling

Jaya‐tunicate swarm algorithm based generative adversarial network for COVID‐19 prediction with chest computed tomography images

Unsupervised Deep learning-based Feature Fusion Approach for Detection and Analysis of COVID-19 using X-ray and CT Images


Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions

Giving commands to a self-driving car: How to deal with uncertain situations?

Engineering applications of artificial intelligence

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows

Predicting Physical World Destinations for Commands Given to Self-Driving Cars


Creative Commons Attribution 4.0 International

A Survey on Deep Learning for Named Entity Recognition

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

A neural network multi-task learning approach to biomedical named entity recognition

Cross-Domain NER using Cross-Domain Language Modeling

Meeting of the Association for Computational Linguistics

Multitask learning for biomedical named entity recognition with cross-sharing structure

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Dataset-aware multi-task learning approaches for biomedical named entity recognition

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning

A Comparison between Named Entity Recognition Models in the Biomedical Domain

Proceedings of the Translation and Interpreting Technology Online Conference TRITON 2021

Biomedical named entity recognition based on fusion multi-features embedding

Technology and health care : official journal of the European Society for Engineering and Medicine


Domain Specific Language for the Abstraction and Reasoning Corpus

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge

Addressing the Abstraction and Reasoning Corpus via Procedural Example
  Generation

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL


Compressive Autoencoder.

Lossy Image Compression with Compressive Autoencoders

Variable Rate Image Compression with Recurrent Neural Networks

Learning sparse auto-encoders for green AI image coding


Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

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

Evaluation of Output Embeddings for Fine-Grained Image Classification

Semantic Autoencoder for Zero-Shot Learning

Label-Embedding for Image Classification

IEEE transactions on pattern analysis and machine intelligence


骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Phoenix: Democratizing ChatGPT across Languages

Datasets for Large Language Models: A Comprehensive Survey

Chinese Open Instruction Generalist: A Preliminary Release

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch