Multi-lingual & multi-domain (specialisation for biomedical data) translation model

A Multilingual Neural Machine Translation Model for Biomedical Data

Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020

Empirical Methods in Natural Language Processing

Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?


[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Normalizing Flows for Human Pose Anomaly Detection

STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition

Anonymization for Skeleton Action Recognition

Matrix Manifold Neural Networks++

International Conference on Learning Representations

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition


APT – Analysis of Petri nets and labelled transition systems

Analysis of Petri Nets and Transition Systems

AdamMC: A Model Checker for Petri Nets with Transits against Flow-LTL

A Web Interface for Petri Nets with Transits and Petri Games

Synthesis of Reduced Asymmetric Choice Petri Nets

A New Property of Choice-Free Petri Net Systems

Some Basic Techniques Allowing Petri Net Synthesis: Complexity and Algorithmic Issues

Maximal and minimal dynamic Petri net slicing


Federated Learning Utilities and Tools for Experimentation

Privacy-Preserving News Recommendation Model Learning

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Federated Multilingual Models for Medical Transcript Analysis

pfl-research: simulation framework for accelerating research in Private
  Federated Learning


An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History

MID-Attribute Speaker Generation Using Optimal-Transport-Based Interpolation of Gaussian Mixture Models

VTTS: Visual-Text To Speech

Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech


LISA: A Case For Learned Index based Acceleration of Biological Sequence Analysis

Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs


For calculating global feature importance using Shapley values.

Understanding Global Feature Contributions With Additive Importance Measures

Explaining by Removing: A Unified Framework for Model Explanation

Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression

Shapley variable importance clouds for interpretable machine learning

Understanding Global Feature Contributions Through Additive Importance Measures

DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability

Information decomposition in complex systems via machine learning

Marginal Contribution Feature Importance -- an Axiomatic Approach for
  The Natural Case


GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.

A Toolkit for Generating Code Knowledge Graphs

Large Scale Generation of Labeled Type Data for Python

KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science


Benchmarks for SyGuS Competition (SyGuS-Comp)

Combining the top-down propagation and bottom-up enumeration for inductive program synthesis

Symposium on Principles of Programming Languages

Inductive program synthesis over noisy data

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Toward Neural-Network-Guided Program Synthesis and Verification

Synthesising Programs with Non-trivial Constants

SynGuar: guaranteeing generalization in programming by example

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

Verifying Solutions to Semantics-Guided Synthesis Problems


MeteoInfo: GIS, scientific computation and visualization environment.


Tools for working with the @ESAGaia data and related data sets

The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

The Astrophysical Journal Supplement Series

Vertical waves in Gaia DR2

Stellar inventory of the solar neighbourhood using Gaia DR1

Using Gaia DR2 to constrain local dark matter density and thin dark disk

Journal of Cosmology and Astroparticle Physics

Tracing the Hercules stream with Gaia and LAMOST: new evidence for a fast bar in the Milky Way

Monthly Notices of the Royal Astronomical Society: Letters

Kinematic structures of the solar neighbourhood revealed by Gaia DR1/TGAS and RAVE

The stellar mass of the Gaia-Sausage/Enceladus accretion remnant


scikit-learn cross validators for iterative stratification of multilabel data

Clotho: An Audio Captioning Dataset

Thou shalt not hate: Countering Online Hate Speech

Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering

Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996--2021

Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays


Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

IEEE Transactions on Intelligent Transportation Systems

Graph neural network for traffic forecasting: A survey

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

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

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

Transportation Research Part C: Emerging Technologies

Graph Neural Networks for Intelligent Transportation Systems: A Survey

A Comprehensive Survey on Traffic Prediction.

Traffic Flow Prediction with Vehicle Trajectories

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


XVERSE-13B: A multilingual large language model developed by XVERSE Technology Inc.

Llama 2: Open Foundation and Fine-Tuned Chat Models

Measuring Massive Multitask Language Understanding

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Data Engineering for Scaling Language Models to 128K Context

Ziya2: Data-centric Learning is All LLMs Need

A Chinese Dataset for Evaluating the Safeguards in Large Language Models

Shai: A large language model for asset management

RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models

Orion-14B: Open-source Multilingual Large Language Models


Code for plotting bounds on the abundance of primordial black holes (PBHs)

Primordial black holes as a dark matter candidate

Journal of Physics G: Nuclear and Particle Physics

Primordial black holes from the perturbations in the inflaton potential in peak theory

bradkav/PBHbounds: Release version

Dancing in the dark: detecting a population of distant primordial black holes

21 cm Forest Constraints on Primordial Black Holes

Primordial black holes from Higgs inflation with a Gauss-Bonnet coupling

Primordial black hole dark matter from catastrogenesis with unstable pseudo-Goldstone bosons

Signatures of primordial black hole dark matter at DUNE and THEIA

Stellar prospects for FRB gravitational lensing

Searching for the Signal of a Primordial Black Hole from CMB Lensing and γ-Ray Emissions


PIRA - Automatic Instrumentation Refinement

PIRA: performance instrumentation refinement automation

Automatic Instrumentation Refinement for Empirical Performance Modeling

PROCEEDINGS OF PROTOOLS 2019: 2019 IEEE/ACM INTERNATIONAL WORKSHOP ON PROGRAMMING AND PERFORMANCE VISUALIZATION TOOLS (PROTOOLS)

A pragmatic workflow for research software engineering in computational science

Automatic Low-Overhead Load-Imbalance Detection in MPI Applications


EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model

Early Cenozoic Decoupling of Climate and Carbonate Compensation Depth Trends

Negative carbon isotope excursions: an interpretive framework

Oceanic and atmospheric methane cycling in the cGENIE Earth system model – release v0.9.14

Iron and sulfur cycling in the cGENIE.muffin Earth system model (v0.9.21)

Resolving ecological feedbacks on the ocean carbon sink in Earth system models

Variable C∕P composition of organic production and its effect on ocean carbon storage in glacial-like model simulations

Anoxic iron and sulphur cycling in the cGENIE.muffin Earth
system model (v0.9.16)


A collection of datasets that pair questions with SQL queries.

Improving Text-to-SQL Evaluation Methodology

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Natural Language Processing Advancements By Deep Learning: A Survey

Leveraging Code to Improve In-context Learning for Semantic Parsing

Recent Advances in SQL Query Generation: A Survey

Revisit Systematic Generalization via Meaningful Learning


A python toolkit for rendering populations of dark matter halos for gravitational lensing simulations

Strong lensing signatures of self-interacting dark matter in low-mass haloes

Monthly notices of the Royal Astronomical Society

Quantum fluctuations masquerade as haloes: bounds on ultra-light dark matter from quadruply imaged quasars

The primordial matter power spectrum on sub-galactic scales

Constraining resonant dark matter self-interactions with strong gravitational lenses

Strong lensing constraints on primordial black holes as a dark matter candidate

JWST lensed quasar dark matter survey I: Description and First Results

Anisotropic strong lensing as a probe of dark matter self-interactions

An analytic surface density profile for ΛCDM halos and gravitational lensing studies

Turbocharging constraints on dark matter substructure through a
  synthesis of strong lensing flux ratios and extended lensed arcs

Self-Interacting Dark Matter, Core Collapse and the Galaxy-Galaxy Strong
  Lensing Discrepancy


Qubit Simulation and Optimal Control for Quantum Systems

qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package

Analytic Filter-Function Derivatives for Quantum Optimal Control

Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise


A curated list of resources dedicated to reinforcement learning applied to cyber security.

Optimal Defense Policies for Partially Observable Spreading Processes on Bayesian Attack Graphs

Proceedings of the Second ACM Workshop on Moving Target Defense

Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning

ACM Transactions on Intelligent Systems and Technology

Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes

Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

Proceedings of the 8th International Conference on Communication and Network Security

Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP

ACM Transactions on Privacy and Security

Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning

Proceedings of the 2017 Workshop on Moving Target Defense

Autonomous Network Defence using Reinforcement Learning

Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning

Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System

Proceedings of Sixth International Congress on Information and Communication Technology


MacSyFinder - Detection of macromolecular systems in protein datasets using systems modelling and similarity search.

MacSyFinder: A Program to Mine Genomes for Molecular Systems with an Application to CRISPR-Cas Systems

The interplay of restriction-modification systems with mobile genetic elements and their prokaryotic hosts

Integrative and conjugative elements and their hosts: composition, distribution and organization

MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes

Identification of protein secretion systems in bacterial genomes using MacSyFinder version 2

Core Defense Hotspots withinPseudomonas aeruginosaare a consistent and rich source of anti-phage defense systems

Comprehensive genome data analysis establishes a triple whammy of carbapenemases, ICEs and multiple clinically relevant bacteria

Prevalence and Population Diversity of Listeria monocytogenes Isolated from Dairy Cattle Farms in the Cantabria Region of Spain

Animals : an open access journal from MDPI

ICEs Are the Main Reservoirs of the Ciprofloxacin-Modifying crpP Gene in Pseudomonas aeruginosa


Amalgamated likelihood estimation (ALE) is a probabilistic approach to exhaustively explore all reconciled gene trees that can be amalgamated as a combination of clades observed in a sample of gene trees. We implement the ALE approach in the context of a reconciliation model (cf. http://arxiv.org/abs/1211.4606 ), which allows for the duplication, transfer and loss of genes. We use ALE to efficiently approximate the sum of the joint likelihood over amalgamations and to find the reconciled gene tree that maximizes the joint likelihood among all such trees.

Lateral Gene Transfer from the Dead

Genome-scale phylogenetic analysis finds extensive gene transfer among Fungi

Buxus and Tetracentron genomes help resolve eudicot genome history

Expanding the phylogenetic distribution of cytochrome b-containing methanogenic archaea sheds light on the evolution of methanogenesis

MaxTiC: Fast ranking of a phylogenetic tree by Maximum Time Consistency with lateral gene transfers


Topological Data Analysis: Concepts, Computation, and Applications in Chemical Engineering

The Euler characteristic: A general topological descriptor for complex data

Convolutional neural nets in chemical engineering: Foundations, computations, and applications

Image-Based Model Predictive Control via Dynamic Mode Decomposition

Counterfactual Learning on Graphs: A Survey

Data analysis using Riemannian geometry and applications to chemical engineering

A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters


A PowerModels.jl Extension Package for Exploratory Work

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations


NYU ML² work on sentence encoding with tree structure and dynamic graphs

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

A Fast Unified Model for Parsing and Sentence Understanding

ListOps: A Diagnostic Dataset for Latent Tree Learning

Do latent tree learning models identify meaningful structure in sentences?

The Lifted Matrix-Space Model for Semantic Composition


Repository for the Python Crop Simulation Environment

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands


PrediXcan Project

Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues

Genome-wide association and expression quantitative trait loci studies identify multiple susceptibility loci for thyroid cancer

Transcriptome-wide association studies: a view from Mendelian randomization

Bid maintains mitochondrial cristae structure and function and protects against cardiac disease in an integrative genomics study

A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

PrediXcan: Trait Mapping Using Human Transcriptome Regulation

Another Round of “Clue” to Uncover the Mystery of Complex Traits

SLINGER: large-scale learning for predicting gene expression


This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.

Characteristics Associated With Out-of-Hospital Cardiac Arrests and Resuscitations During the Novel Coronavirus Disease 2019 Pandemic in New York City

Spatial Inequities in COVID-19 Testing, Positivity, Confirmed Cases, and Mortality in 3 U.S. Cities

Oscillations in U.S. COVID-19 Incidence and Mortality Data Reflect Diagnostic and Reporting Factors

Dynamics of COVID-19 under social distancing measures are driven by transmission network structure

medRxiv : the preprint server for health sciences

Exposure density and neighborhood disparities in COVID-19 infection risk

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

Estimating SARS-CoV-2 infections from deaths, confirmed cases, tests, and random surveys

Forecasting the Spread of COVID-19 under Different Reopening Strategies

Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility

Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19

Time-dependent heterogeneity leads to transient suppression of the COVID-19 epidemic, not herd immunity


Artificial Intelligence Research for Science (AIRS)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Periodic Graph Transformers for Crystal Material Property Prediction

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction

Group Equivariant Fourier Neural Operators for Partial Differential Equations

A Latent Diffusion Model for Protein Structure Generation

Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian

Towards Symmetry-Aware Generation of Periodic Materials

QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules

Complete and Efficient Graph Transformers for Crystal Material Property
  Prediction

Crystalformer: Infinitely Connected Attention for Periodic Structure
  Encoding


Shellphish's automated exploitation engine, originally created for the Cyber Grand Challenge.

Survey of Automated Vulnerability Detection and Exploit Generation Techniques in Cyber Reasoning Systems

Pandora: A Cyber Range Environment for the Safe Testing and Deployment of Autonomous Cyber Attack Tools

AEMB: An Automated Exploit Mitigation Bypassing Solution


Reed-Solomon Erasure Coding in Go

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems

Adding Forward Erasure Correction to QUIC

JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable

BFT-DSN: A Byzantine Fault Tolerant Decentralized Storage Network


Bitcoin Improvement Proposals

Witnet: A Decentralized Oracle Network Protocol

Bitcoin Covenants: Three Ways to Control the Future


UCSC Genome Browser source tree. Stable branch: "beta".

Stability of SARS-CoV-2 phylogenies

Nuclear genetic control of mtDNA copy number and heteroplasmy in humans

Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

The Caenorhabditis elegans TDRD5/7-like protein, LOTR-1, interacts with the helicase ZNFX-1 to balance epigenetic signals in the germline

Targeting Oncogenic Wnt/β-Catenin Signaling in Adrenocortical Carcinoma Disrupts ECM Expression and Impairs Tumor Growth

Novel insights into the role of long non-coding RNA in the human malaria parasite, Plasmodium falciparum

Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing

Manual annotation of Drosophila genes: a Genomics Education Partnership protocol

Tomato root specialized metabolites evolved through gene duplication and regulatory divergence within a biosynthetic gene cluster

TAD border deletion at the Kit locus causes tissue-specific ectopic activation of a neighboring gene


A framework for fast simulation of a generic collider experiment

The International Linear Collider: Report to Snowmass 2021

HAL (Le Centre pour la Communication Scientifique Directe)

Towards a muon collider

Type-II seesaw scalar triplet model at a 100 TeV pp collider: discovery and higgs portal coupling determination

Measuring the Higgs self-coupling via Higgs-pair production at a 100 TeV p–p collider

A tale of two portals: testing light, hidden new physics at future e+e− colliders

Machine learning the Higgs boson-top quark CP phase

A DELPHES card for the CLIC detector

Heavy resonances at energy-frontier hadron colliders

Jet flavour tagging for future colliders with fast simulation

Neutrino masses and magnetic moments of electron and muon in the Zee Model


Linux kernel source tree

SEVurity: No Security Without Integrity : Breaking Integrity-Free Memory Encryption with Minimal Assumptions

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP


Super-Efficient RLHF Training of LLMs with Parameter Reallocation

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

SimPO: Simple Preference Optimization with a Reference-Free Reward

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation


Ruby implementation of Boldyreva's order-preserving encryption scheme

Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing

IEEE Transactions on Information Forensics and Security

LPOS: Location Privacy for Optimal Sensing in Cognitive Radio Networks

An efficient technique for protecting location privacy of cooperative spectrum sensing users

Conference on Computer Communications Workshops


Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria

Assembly by Reduced Complexity (ARC): a hybrid approach for targeted assembly of homologous sequences.

Abundant Genetic Diversity of Yunling Cattle Based on Mitochondrial Genome

Ancient DNA Resolves the History of Tetragnatha (Araneae, Tetragnathidae) Spiders on Rapa Nui

Genomic analyses of Asiatic Mouflon in Iran provide insights into the domestication and evolution of sheep

Ancient DNA from a 2700-year-old goitered gazelle (Gazella subgutturosa) supports gazelle hunting in Iron Age Central Asia


Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

DARTS: Differentiable Architecture Search

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware


DisCo Transformer for Non-autoregressive MT

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

Parallel Machine Translation with Disentangled Context Transformer

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

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

Dynamic and Efficient Inference for Text Generation via BERT Family

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

MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation

Findings of the Association for Computational Linguistics: ACL 2022

Con-NAT: Contrastive Non-autoregressive Neural Machine Translation

Findings of the Association for Computational Linguistics: EMNLP 2022


PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".

Learning to Scale Logits for Temperature-Conditional GFlowNets


NSL-KDD Dataset

CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network

Explaining Network Intrusion Detection System Using Explainable AI Framework

LSTM deep learning method for network intrusion detection system

Journal of Engineering and Applied Sciences

Naive Bayes modification for intrusion detection system classification with zero probability

Bulletin of Electrical Engineering and Informatics

Parallel processing using big data and machine learning techniques for intrusion detection

IAES International Journal of Artificial Intelligence (IJ-AI)

RHOASo: An Early Stop Hyper-Parameter Optimization Algorithm

Artificial Neural Network and Genetic Clustering based Robust Intrusion Detection System

International Journal of Computer Applications

Intrusion Detection System Using Deep Learning and Its Application to Wi-Fi Network

IEICE Transactions on Information and Systems

Scalable Peaceman-Rachford Splitting Method with Proximal Terms


Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing

Deep Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement

Deep Multi-Frame MVDR Filtering for Binaural Noise Reduction

Multi-Task Audio Source Separation

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement

IEEE International Conference on Acoustics, Speech, and Signal Processing

Audio-visual Speech Separation with Adversarially Disentangled Visual Representation

Time-Domain Speech Super-Resolution With GAN Based Modeling for Telephony Speaker Verification


Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data

SpaGE: Spatial Gene Enhancement using scRNA-seq

Computational Approaches and Challenges in Spatial Transcriptomics

基因组蛋白质组与生物信息学报

stDiff: a diffusion model for imputing spatial transcriptomics through single-cell transcriptomics


Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Variational Transformers for Diverse Response Generation

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation


[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Pareto Set Learning for Expensive Multi-Objective Optimization

Interactive exploration of design trade-offs

Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations

A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement


Importance Weighted Autoencoders

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Semi-Amortized Variational Autoencoders

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation


The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network

Applying causal discovery to single-cell analyses using CausalCell

A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules


Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis

Handcrafted Backdoors in Deep Neural Networks

Trigger Hunting with a Topological Prior for Trojan Detection

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

Learning Topological Representations for Deep Image Understanding


A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

An Economic Solution to Copyright Challenges of Generative AI

Improving Adversarial Robustness by Contrastive Guided Diffusion Process

Understanding Hallucinations in Diffusion Models through Mode
  Interpolation

Fair Sampling in Diffusion Models through Switching Mechanism


Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment

International Conference on Computational Linguistics


Fpop implementation for robust losses

An Evaluation of Change Point Detection Algorithms

Changepoint Detection in the Presence of Outliers

In Datacenter Performance, The Only Constant Is Change

Scalable Bayesian change point detection with spike and slab priors

Multiscale Quantile Regression with Local Error Control


A library of translation-based text similarity measures

No Language Left Behind: Scaling Human-Centered Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks


Reproducing the Image Super-Resolution via Iterative Refinement paper.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Generative Modeling by Estimating Gradients of the Data Distribution


Query Resolution for Conversational Search with Limited Supervision

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

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

Query Performance Prediction: From Ad-hoc to Conversational Search

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


Code Release for the paper "Make-A-Story: Visual Memory Conditioned Consistent Story Generation" in CVPR 2023

Imagine This! Scripts to Compositions to Videos

MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration

StoryGPT-V: Large Language Models as Consistent Story Visualizers


:dragon: :fly: Assemble bacterial isolate genomes from Nanopore reads

Plassembler: an automated bacterial plasmid assembly tool

Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Brucella melitensis Isolates

The Ability of Shiga Toxin-Producing Escherichia coli to Grow in Raw Cow’s Milk Stored at Low Temperatures

EnteropathogenicProvidencia alcalifaciens: A subgroup ofP. alcalifaciensthat causes diarrhea


Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation

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


GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

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

Feature Pyramid Networks for Object Detection

Scale-Aware Trident Networks for Object Detection


Detects air particulate matter (PM - pm1, pm2.5, pm10) concentrations and sends data to an MQTT server. An alternative firmware for ESP8266 devices like the NodeMCU board written for Arduino IDE and PlatformIO


Creative Commons Attribution 4.0 International

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

Post-OCR parsing: building simple and robust parser via BIO tagging

DocILE Benchmark for Document Information Localization and Extraction

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction

Transformers and Language Models in Form Understanding: A Comprehensive
  Review of Scanned Document Analysis

Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections

Reconstructing training data from document understanding models


Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space


olaFlow CFD Suite is a free and open source project committed to bringing the latest advances for the simulation of wave dynamics to the OpenFOAM® and FOAM-extend communities.

Validation of RANS Modelling for Wave Interactions with Sea Dikes on Shallow Foreshores Using a Large-Scale Experimental Dataset

Journal of Marine Science and Engineering

Characteristics of Accelerations and Pressure Gradient during Run-Down of Solitary Wave over Very Steep Beach: A Case Study

Evolution of Velocity Field and Vortex Structure during Run-Down of Solitary Wave over Very Steep Beach

Variation Characteristics of Irregular Wave Fields around 2-Dimensional Low-Crested-Breakwater

Journal of Korean Society of Coastal and Ocean Engineers

Variation Characteristics of Irregular Wave Fields around 3-Dimensional Low-Crested-Breakwater


distributed version of product-nets

Product-based Neural Networks for User Response Prediction

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

User Response Prediction in Online Advertising

The Sample Complexity of Online One-Class Collaborative Filtering


Learning Sparse Neural Networks through L0 regularization

Learning Sparse Neural Networks through L_0 Regularization

Learning Sparse Networks Using Targeted Dropout

FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks

Position-based Scaled Gradient for Model Quantization and Pruning

Dep-L_0: Improving L_0-based Network Sparsification via Dependency Modeling

Model Compression via Position-Based Scaled Gradient


Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm

GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers

Insights from a genome-wide truth set of tandem repeat variation

bioRxiv : the preprint server for biology

Critical length in long-read resequencing


GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

SimplE Embedding for Link Prediction in Knowledge Graphs


ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

MR Image Reconstruction Using Deep Density Priors

Stabilizing Deep Tomographic Reconstruction

CS-GAN for High-Quality Diffusion Tensor Imaging

Invertible Diffusion Models for Compressed Sensing


"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS International Journal of Geo-Information

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Graph Neural Rough Differential Equations for Traffic Forecasting


Resources for PVLDB 2023 submission

Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning

Generative Benchmark Creation for Table Union Search


A fast and highly scalable GPU dynamic memory allocator

A Dynamic Hash Table for the GPU

Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU

International Parallel and Distributed Processing Symposium


SmoothGrad implementation in PyTorch

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

International Journal of Computer Vision

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Striving for Simplicity: The All Convolutional Net

SmoothGrad: removing noise by adding noise

Drone Model Classification Using Convolutional Neural Network Trained on Synthetic Data


MultiTask Environments for Reinforcement Learning.

Multi-Task Reinforcement Learning with Context-based Representations

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Block Contextual MDPs for Continual Learning

Contextualize Me -- The Case for Context in Reinforcement Learning

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization


Benchmark for evaluating open-ended generation

BLEURT: Learning Robust Metrics for Text Generation

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics

CLSEG: Contrastive Learning of Story Ending Generation


This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.

A Noise-Robust Self-Supervised Pre-Training Model Based Speech Representation Learning for Automatic Speech Recognition

Joint Training of Speech Enhancement and Self-supervised Model for Noise-robust ASR

Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR

deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition


[CIKM 2018] Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Contextualized Weak Supervision for Text Classification

Meeting of the Association for Computational Linguistics

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

META: Metadata-Empowered Weak Supervision for Text Classification

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

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals

Towards Weakly-Supervised Hate Speech Classification Across Datasets


[AAAI 2022] Knowledge Bridging for Empathetic Dialogue Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory


Talking with Hands

A Comprehensive Review of Data-Driven Co-Speech Gesture Generation


A framework for creating linguistic experiments

Cross-linguistic scope ambiguity: When two systems meet

In support of representational economy: Agreement in heritage Spanish

Glossa: a journal of general linguistics

Generalization of French and Portuguese plural alternations and initial syllable protection

Constraint cumulativity in phonotactics: evidence from artificial grammar learning studies

Weight and final vowels in the English stress system

Vowel unpredictability in Hijazi Arabic monosyllabic verbs


Code for paper "CrossFit :weight_lifting:: A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)

MetaICL: Learning to Learn In Context

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

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP


Repository for the AAAI 2022 paper "CEM: Commonsense-aware Empathetic Response Generation"


Machine Translation Evaluation Metric

Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Fitting Sentence Level Translation Evaluation with Many Dense Features

Empirical Methods in Natural Language Processing

BEER 1.1: ILLC UvA submission to metrics and tuning task

Workshop on Statistical Machine Translation

Evaluating Word Order Recursively over Permutation-Forests

Alignment-based sense selection in METEOR and the RATATOUILLE recipe

Evaluating MT systems with BEER

The Prague Bulletin of Mathematical Linguistics


Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Seq2EG: a novel and effective event graph parsing approach for event extraction


Allele-Specific Expression by Single-Cell RNA Sequencing

SCALE: modeling allele-specific gene expression by single-cell RNA sequencing

A Bayesian mixture model for the analysis of allelic expression in single cells

Semi-coordinated allelic-bursting shape dynamic random monoallelic expression in pre-gastrulation embryos


OOPSLA 2019 Artifact for AutoPandas. Website at https://rbavishi.github.io/autopandas

AutoPandas: neural-backed generators for program synthesis

Proceedings of the ACM on Programming Languages

Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V (Technical Report)

Absynthe: Abstract Interpretation-Guided Synthesis


[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision

Towards Weakly-Supervised Hate Speech Classification Across Datasets


A Greek edition of BERT pre-trained language model

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

GREEK-BERT: The Greeks visiting Sesame Street

Hellenic Conference on Artificial Intelligence

Multimodal Hate Speech Detection in Greek Social Media

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media


Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels

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


A heuristic solver for the set cover problem

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Large-scale structure catalogues for cosmological analysis

Monthly Notices of the Royal Astronomical Society

What's The Latest? A Question-driven News Chatbot

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

A New View of Classification in Astronomy with the Archetype Technique: An Astronomical Case of the NP-complete Set Cover Problem

Modeling the Spectral Diversity of Quasars in the Sixteenth Data Release from the Sloan Digital Sky Survey

Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey


Muse: Text-To-Image Generation via Masked Generative Transformers

StyleDrop: Text-to-Image Generation in Any Style

aMUSEd: An Open MUSE Reproduction

iVideoGPT: Interactive VideoGPTs are Scalable World Models


A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation for Indoor Scene.

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

The Replica Dataset: A Digital Replica of Indoor Spaces

RoutedFusion: Learning Real-time Depth Map Fusion

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes


Code to implement "Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation"

Semantic Image Synthesis via Diffusion Models


Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Towards Debiasing NLU Models from Unknown Biases


Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

A Simple Framework for Uncertainty in Contrastive Learning

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder


[PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition

Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition


Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

Dense Passage Retrieval for Open-Domain Question Answering

Unsupervised Dense Information Retrieval with Contrastive Learning

End-to-End Training of Neural Retrievers for Open-Domain Question Answering


Event StoryLine Corpus - annotated data, baselines and evaluation scripts, evaluation data.

The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction

Modeling Document-level Causal Structures for Event Causal Relation Identification

North American Chapter of the Association for Computational Linguistics

UniCausal: Unified Benchmark and Repository for Causal Text Mining

Event Causality Identification via Derivative Prompt Joint Learning

International Conference on Computational Linguistics

The Storyline Annotation and Representation Scheme (StaR): A Proposal

Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016)

Semantic Structure Enhanced Event Causality Identification

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction

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

TacoERE: Cluster-aware Compression for Event Relation Extraction


ShapeGlot: Learning Language for Shape Differentiation

PartGlot: Learning Shape Part Segmentation from Language Reference Games

LADIS: Language Disentanglement for 3D Shape Editing


[CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms

Optimising Resource Management for Embedded Machine Learning


AAAI'21: Data Augmentation for Graph Neural Networks

Graph Augmentation Learning

Data Augmentation for Graph Data: Recent Advancements

Revisiting Edge Perturbation for Graph Neural Network in Graph Data
  Augmentation and Attack


On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space


SpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at

Scaling K2. I. Revised Parameters for 222,088 K2 Stars and a K2 Planet Radius Valley at 1.9 R-circle plus

The Astrophysical Journal Supplement Series

SpectRes: A Fast Spectral Resampling Tool in Python

The VANDELS survey: global properties of CIII]λ1908Å emitting star-forming galaxies at z∼3

First discovery of an ultra-cool white dwarf benchmark in common proper motion with an M dwarf

The Direct-method Oxygen Abundance of Typical Dwarf Galaxies at Cosmic High Noon

Characterization of Supernovae Based on the Spectral–Temporal Energy Distribution: Two Possible SN Ib Subtypes


Code and pretrained models for paper: Data-Free Adversarial Distillation

Zero-shot Knowledge Transfer via Adversarial Belief Matching

Data-Free Adversarial Distillation

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded External Features


TensorFlow implemenation of GRu4Rec model

Session-based Recommendations with Recurrent Neural Networks

Consistency-Aware Recommendation for User-Generated Item List Continuation

Learning to Augment for Casual User Recommendation

The Effect of Third Party Implementations on Reproducibility

Proceedings of the 17th ACM Conference on Recommender Systems


C-Mixup for NeurIPS 2022

Extending the WILDS Benchmark for Unsupervised Adaptation

C-Mixup: Improving Generalization in Regression

Anchor Data Augmentation

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

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift


Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

A Survey on Causal Inference

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

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

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability

A Survey of Deep Causal Models and Their Industrial Applications


Bead-based single-cell atac processing

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

Functional inference of gene regulation using single-cell multi-omics

Inference and effects of barcode multiplets in droplet-based single-cell assays

Systematic benchmarking of single-cell ATAC-sequencing protocols


K* search based implementation of top-k and top-quality planners

On K* Search for Top-K Planning

K∗ and Partial Order Reduction for Top-Quality Planning

K∗ Search over Orbit Space for Top-k Planning

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning


Official code for the Stochastic Polyak step-size optimizer

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Cutting Some Slack for SGD with Adaptive Polyak Stepsizes

A Stochastic Proximal Polyak Step Size

Adaptive Federated Learning with Auto-Tuned Clients

Comment on Stochastic Polyak Step-Size: Performance of ALI-G

Locally Adaptive Federated Learning


Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

The RWTH Aachen Machine Translation Systems for IWSLT 2017

International Workshop on Spoken Language Translation

Character-level Transformer-based Neural Machine Translation

The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

Neural Machine Translation of Artwork Titles Using Iconclass Codes

Normalization in Context: Inter-Annotator Agreement for Meaning-Based Target Hypothesis Annotation

A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)


Long-read mock community experiments

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Short- and long-read metagenomics expand individualized structural variations in gut microbiomes

Enabling high-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

DeepSelectNet: Deep Neural Network Based Selective Sequencing for Oxford Nanopore Sequencing

Analysis procedures for assessing recovery of high quality, complete, closed genomes from Nanopore long read metagenome sequencing

Wochenende - modular and flexible alignment-based shotgun metagenome analysis


Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Optimizing Millions of Hyperparameters by Implicit Differentiation

Adapting Auxiliary Losses Using Gradient Similarity

Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation


Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Learning to Feel Textures: Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions

Aligning Hyperbolic Representations: an Optimal Transport-based approach

Learning Sinkhorn divergences for supervised change point detection

Parametric Adversarial Divergences are Good Losses for Generative Modeling


[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Kindling the Darkness: A Practical Low-light Image Enhancer

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection


A list of tools, papers and code related to Deepfake Detection.

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Sharp Multiple Instance Learning for DeepFake Video Detection

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

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking


A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.

SCANPY: large-scale single-cell gene expression data analysis

Dissecting cell identity via network inference and in silico gene perturbation

CRISPR-Cas9-mediated loss-of-function screens

Robustness and applicability of functional genomics tools on scRNA-seq data


R package for evaluating individual tree crown predictions against a diverse benchmark dataset

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network

Training Data for the NeonTreeEvaluation Benchmark

Zenodo (CERN European Organization for Nuclear Research)


Codebase for Learning Invariances in Neural Networks

Learning Invariances in Neural Networks

Grounding inductive biases in natural images:invariance stems from variations in data

Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions


An Implementation of Transformer (Attention Is All You Need) in DyNet

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Selective Attention for Context-aware Neural Machine Translation

Weighted Transformer Network for Machine Translation

Improved Neural Machine Translation using Side Information

Australasian Language Technology Association Workshop

Moment Matching Training for Neural Machine Translation: A Preliminary Study


Official GitHub for CTAB-GAN+

TabDDPM: Modelling Tabular Data with Diffusion Models

CTAB-GAN+: Enhancing Tabular Data Synthesis

Adversarial random forests for density estimation and generative modeling

TabuLa: Harnessing Language Models for Tabular Data Synthesis

DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation


Expanding Explainable K-Means Clustering

Explainable k-Means and k-Medians Clustering

ExKMC: Expanding Explainable k-Means Clustering


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

Neural Diarization with Non-autoregressive Intermediate Attractors

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

DiaCorrect: Error Correction Back-end For Speaker Diarization

DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

Target Speech Diarization with Multimodal Prompts

Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?


Human Intracranial High Frequency Oscillations (HFOs) Detected by Automatic Time-Frequency Analysis

Resection of high frequency oscillations predicts seizure outcome in the individual patient

Voluntary Suppression of Memory for Semantic Information is not reflected in P300

International Journal of Psychophysiology

The morphology of high frequency oscillations (HFO) does not improve delineating the epileptogenic zone

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome

Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram

High frequency oscillations as markers of epileptogenic tissue – End of the party?

Blinded study: prospectively defined high-frequency oscillations predict seizure outcome in individual patients

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks


vessel segmentation, artery and vein, optic disc, vascular feature analysis

A foundation model for generalizable disease detection from retinal images

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline

Comparison of Retinal Imaging Techniques in Individuals with Pulmonary Artery Hypertension Using Vessel Generation Analysis


An Inductive Logic Programming system for online learning of event definitions in the form of Event Calculus programs

Online learning of event definitions

Theory and Practice of Logic Programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

Online Learning of Weighted Relational Rules for Complex Event Recognition

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT II

The Complex Event Recognition Group

Distributed Online Learning of Event Definitions


Test DRAM for bit flips caused by the rowhammer problem

The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser

PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses

CATTmew: Defeating Software-Only Physical Kernel Isolation

IEEE Transactions on Dependable and Secure Computing

RowHammer and Beyond

Understanding Rowhammer Attacks through the Lens of a Unified Reference Framework

GhostKnight: Breaching Data Integrity via Speculative Execution

TeleHammer : A Stealthy Cross-Boundary Rowhammer Technique

TeleHammer: A Formal Model of Implicit Rowhammer


Code to implement the DunedinPACE scoring algorithm in Illumina 450k or EPIC array data

DunedinPACE, a DNA methylation biomarker of the pace of aging

The role of adolescent lifestyle habits in biological aging: A prospective twin study

Sex differences in epigenetic age in Mediterranean high longevity regions

Metal mixtures and DNA methylation measures of biological aging in American Indian populations

Associations of essential trace elements with epigenetic aging indicators and the potential mediating role of inflammation

Metabolic syndrome and epigenetic aging: a twin study

Exploring the effects of Dasatinib, Quercetin, and Fisetin on DNA methylation clocks: a longitudinal study on senolytic interventions

Associations between epigenetic aging and childhood peer victimization, depression, and suicidal ideation in adolescence and adulthood: A study of two population-based samples

Frontiers in cell and developmental biology

The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality – a prospective twin study

medRxiv : the preprint server for health sciences

Accelerated biological aging six decades after prenatal famine exposure


WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations

North American Chapter of the Association for Computational Linguistics

A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Emotion Analysis of Writers and Readers of Japanese Tweets on Vaccinations

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents

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


:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

hal9001: Scalable highly adaptive lasso regression in R

Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials

txshift: Efficient estimation of the causal effects of stochastic interventions in R


Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Control Prefixes for Parameter-Efficient Text Generation

Self-supervised Graph Masking Pre-training for Graph-to-Text Generation

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Discourse-Aware Soft Prompting for Text Generation


MAD: The first work to explore Multi-Agent Debate with Large Language Models :D

Large Language Models are Zero-Shot Reasoners

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Exploring Human-Like Translation Strategy with Large Language Models


MClust is a Matlab-based spike sorting toolbox for the separation of putative cells from multi-site neurophysiological recordings.  It is particularly good for tetrodes.

Learning-dependent evolution of odor mixture representations in piriform cortex

Effects of the mGlu2/3 receptor agonist LY379268 on two models of disturbed auditory evoked brain oscillations in mice

Enhancement of mediodorsal thalamus rescues aberrant belief dynamics in a mouse model with schizophrenia-associated mutation

bioRxiv : the preprint server for biology


baltic - adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. This fork will no longer receive updates, so any further development to baltic is going to happen at https://github.com/evogytis/baltic.

Genomic epidemiology reveals multiple introductions of Zika virus into the United States

Active Ebola Virus Replication and Heterogeneous Evolutionary Rates in EVD Survivors


[ICCV 2021] A new codebase containing various methods for Group Activity Recognition. Paper title: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image


:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

Double/debiased machine learning for treatment and structural parameters

Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder

Cross-Validated Targeted Minimum-Loss-Based Estimation

Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes

Nonparametric efficient causal mediation with intermediate confounders

Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting

Nonparametric inference for interventional effects with multiple mediators

medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R


The SeaFreeze package allows to compute the thermodynamic and elastic properties of water and ice polymorphs (Ih, III, V and VI) in the 0-2300 MPa and 220-500K range.

AQUA: a collection of H2O equations of state for planetary models

Holistic Approach for Studying Planetary Hydrospheres: Gibbs Representation of Ices Thermodynamics, Elasticity, and the Water Phase Diagram to 2,300 MPa

Journal of Geophysical Research: Planets

Thermodynamics of pure liquid water: Sound speed measurements to 700 MPa down to the freezing point, and an equation of state to 2300 MPa from 240 to 500 K

Stability of high-temperature salty ice suggests electrolyte permeability in water-rich exoplanet icy mantles

PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

Liquid water on cold exo-Earths via basal melting of ice sheets

Gibbs energy of ices III, V and VI: wholistic thermodynamics and elasticity of the water phase diagram to 2300 MPa


Evaluation code for Dense-Captioning Events in Videos

Jointly Localizing and Describing Events for Dense Video Captioning

Weakly Supervised Dense Event Captioning in Videos

Streamlined Dense Video Captioning

Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning

Relational Graph Learning for Grounded Video Description Generation

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

Parallel Pathway Dense Video Captioning With Deformable Transformer


Weights & Biases benchmark for drought prediction

Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya


This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"

CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network

From Hypergraph Energy Functions to Hypergraph Neural Networks


What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

Uncertainty-aware Score Distribution Learning for Action Quality Assessment

A Survey of Video-based Action Quality Assessment

2021 International Conference on Networking Systems of AI (INSAI)

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Modelling the Language of Life - Deep Learning Protein Sequences

Modeling aspects of the language of life through transfer-learning protein sequences

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Modeling the language of life – Deep Learning Protein Sequences


Representing CP problems as graphs

Learning a SAT Solver from Single-Bit Supervision

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP

Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems

Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches


Quantitative Information Flow library for python and C++.

Information Leakage Games: Exploring Information as a Utility Function

Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata

A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow


Utility program for extracting sequences from a fasta/fastq file

Secretion of an Argonaute protein by a parasitic nematode and the evolution of its siRNA guides

Conflicting phylogenetic signals in genomic data of the coffee family (Rubiaceae)

Whole genome assemblies of Zophobas morio and Tenebrio molitor

Fine scale sampling reveals early differentiation of rhizosphere microbiome from bulk soil in young Brachypodium plant roots


DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access

Overview of the Ninth Dialog System Technology Challenge: DSTC9

"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations

Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9

Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling

Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems

Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors

IEEE International Conference on Acoustics, Speech, and Signal Processing


Radiative transfer code Dusty

Polar Dust, Nuclear Obscuration, and IR SED Diversity in Type-1 AGNs

Massive dust clumps in the envelope of the red supergiant VY Canis Majoris

Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud

Establishing a mass-loss rate relation for red supergiants in the Large Magellanic Cloud


Repeats

Detection, Rectification and Segmentation of Coplanar Repeated Patterns

Rectification from Radially-Distorted Scales

Minimal Solvers for Rectifying From Radially-Distorted Conjugate Translations

IEEE transactions on pattern analysis and machine intelligence

Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales

International Journal of Computer Vision


Implementation of different summarization algorithms applied to legal case judgements.

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Extractive Summarization using Deep Learning

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

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

Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?

Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case
  Summarization

Citation-Based Summarization of Landmark Judgments


BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF

Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus

Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources associated with RANLP 2019


SAM: Sharpness-Aware Minimization (PyTorch)

Sharpness-Aware Minimization for Efficiently Improving Generalization

ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

On the Maximum Hessian Eigenvalue and Generalization

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

Investigating the Impact of Model Misspecification in Neural Simulation-based Inference

A comparative study between vision transformers and CNNs in digital pathology

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty

Towards Bridging the Performance Gaps of Joint Energy-based Models


This repo contains the PyTorch implementation of the SNAS-Series papers

SNAS: Stochastic Neural Architecture Search

DSNAS: Direct Neural Architecture Search without Parameter Retraining

Understanding the wiring evolution in differentiable neural architecture search


10x Genomics Reads Simulator

LRSim: A Linked-Reads Simulator Generating Insights for Better Genome Partitioning

Hap10: reconstructing accurate and long polyploid haplotypes using linked reads

Reconstruction of Microbial Haplotypes by Integration of Statistical and Physical Linkage in Scaffolding


Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Uncertainty Modeling for Out-of-Distribution Generalization

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

The Cognition of Audience to Artistic Style Transfer

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation


Structural Bioinformatics Training Workshop & Hackathon 2018

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures

Machine Learning for Classification of Protein Helix Capping Motifs


Accenture Labs Federated Learning

A Survey of Machine Unlearning

Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning

Free-rider Attacks on Model Aggregation in Federated Learning

Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization

A General Theory for Client Sampling in Federated Learning


Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

On Calibration of Modern Neural Networks

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Snapshot Ensembles: Train 1, get M for free

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Efficient and Transferable Adversarial Examples from Bayesian Neural Networks

Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning


Comprehensive library to access the Spanish electricity market entity (ESIOS), in python 3


First-order Algorithm via Linearization of Constraints for OPTimization

acados: a modular open-source framework for fast embedded optimal control

Implementation of Model Predictive Control for Tracking in Embedded Systems Using a Sparse Extended ADMM Algorithm

Implementation of MPC in embedded systems using first order methods

A Sparse ADMM-Based Solver for Linear MPC Subject to Terminal Quadratic Constraint


Conditional out-of-distribution prediction

Conditional out-of-distribution generation for unpaired data using transfer VAE

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

Conditional out-of-sample generation for unpaired data using trVAE


Repo for R package to query and download WFD data from the EA Catchment Data Explorer site


Metagol - an inductive logic programming system

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

Meta-interpretive learning: application to grammatical inference

Turning 30: New Ideas in Inductive Logic Programming

Learning programs by learning from failures

Inductive logic programming at 30: a new introduction

The ILASP system for Inductive Learning of Answer Set Programs

From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey

Inductive Logic Programming via Differentiable Deep Neural Logic Networks

Exploiting Answer Set Programming with External Sources for Meta-Interpretive Learning


Routing Application for Parallel computatIon of Discharge (RAPID)


rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.


PSF Imagette Photometric Extraction - PSF photometry for CHEOPS data

The atmosphere and architecture of WASP-189 b probed by its CHEOPS phase curve

CHEOPS geometric albedo of the hot Jupiter HD 209458 b

Phase curve and geometric albedo of WASP-43b measured with CHEOPS, TESS, and HST WFC3/UVIS

Two warm Neptunes transiting HIP 9618 revealed by TESS and Cheops

Monthly Notices of the Royal Astronomical Society

TOI-5678 b: A 48-day transiting Neptune-mass planet characterized with CHEOPS and HARPS

The geometric albedo of the hot Jupiter HD 189733b measured with CHEOPS

A full transit of ν^2 Lupi d and the search for an exomoon in its Hill sphere with CHEOPS

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906

Monthly notices of the Royal Astronomical Society

55 Cancri e's occultation captured with CHEOPS

The HD 93963 A transiting system: A 1.04 d super-Earth and a 3.65 d sub-Neptune discovered by TESS and CHEOPS


Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Optimizing Rank-based Metrics with Blackbox Differentiation

Robust and Decomposable Average Precision for Image Retrieval

Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting


Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning

Recursive evaluation and iterative contraction of N-body equivariant features

Efficient implementation of atom-density representations


Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

TRUE: Re-evaluating Factual Consistency Evaluation

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents


C++ Monte Carlo photoionization and radiation hydrodynamics code.

The Monte Carlo photoionization and moving-mesh radiation hydrodynamics code CMacIonize

Radiative transfer calculations of the diffuse ionized gas in disc galaxies with cosmic ray feedback

Radiation hydrodynamics simulations of the evolution of the diffuse ionized gas in disc galaxies

Massive star formation via torus accretion: the effect of photoionization feedback


Video Face Manipulation Detection Through Ensemble of CNNs

FaceForensics++: Learning to Detect Manipulated Facial Images

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

The DeepFake Detection Challenge (DFDC) Dataset

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


A Japanese tokenizer based on recurrent neural networks

fugashi, a Tool for Tokenizing Japanese in Python

NTT's Machine Translation Systems for WMT19 Robustness Task

Towards the TopMost: A Topic Modeling System Toolkit

Grammatical Error Correction for Code-Switched Sentences by Learners of
  English


Data objects for various sets of instruments

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

Genome-wide Mendelian randomization identifies actionable novel drug targets for psychiatric disorders

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Epigenome-wide association study of seizures in childhood and adolescence

Genome-wide association study of cardiac troponin I in the general population


Get assembly statistics from FASTA and FASTQ files

Genetic determinants of endophytism in the Arabidopsis root mycobiome

Insights into the genomic evolution of insects from cricket genomes

A high-quality, chromosome-level genome assembly of the Black Soldier Fly (Hermetia illucens L.)

Sharing of carbapenemase-encoding plasmids between Enterobacteriaceae in UK sewage uncovered by MinION sequencing

Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Divergent sensory and immune gene evolution in sea turtles with contrasting demographic and life histories

De Novo Genome Assembly of the Japanese Wheat Cultivar Norin 61 Highlights Functional Variation in Flowering Time and Fusarium-Resistant Genes in East Asian Genotypes

Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae


Python interface to download S-PLUS data just like splus.cloud. Good for ML workflows for example, downloading big chunks of data.

Data Release 2 of S-PLUS: accurate template-fitting based photometry covering ∼1000 square degrees in 12 optical filters

Estimating stellar population and emission-line properties in S-PLUS galaxies

The S-PLUS Fornax Project (S+FP): SExtractor detection and measurement
  of nearby galaxies in large photometric surveys


Phylogenetic ANalyses of DiversificAtion (in Julia)

Fifth mass extinction event triggered the diversification of the largest family of freshwater gastropods (Caenogastropoda: Truncatelloidea: Hydrobiidae)

Cladistics : the international journal of the Willi Hennig Society

Systematics and diversification of the Ichthyomyini (Cricetidae, Sigmodontinae) revisited: evidence from molecular, morphological, and combined approaches

The causes of species richness patterns among clades


A collection of usefull tools for RAD or GBS data analysis

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

Selection-driven trait loss in independently evolved cavefish populations

Phylogenomic analyses confirm a novel invasive North AmericanCorbicula(Bivalvia: Cyrenidae) lineage

Convergent morphology and divergent phenology promote the coexistence of Morpho butterfly species

Worldwide Population Structure of the Coffee Rust Fungus Hemileia vastatrix Is Strongly Shaped by Local Adaptation and Breeding History

Geographical Patterns of Genetic Variation in Locoto Chile (Capsicum pubescens) in the Americas Inferred by Genome-Wide Data Analysis

New insights on adaptation and population structure of cork oak using genotyping by sequencing

Evolutionary relationships, hybridization and diversification under domestication of the locoto chile (Capsicum pubescens) and its wild relatives


An implementation of Hoare and He's Unifying Theories of Programming in Isabelle

Unifying semantic foundations for automated verification tools in Isabelle/UTP

Unifying theories of reactive design contracts

Automating Verification of State Machines with Reactive Designs and Isabelle/UTP

Unifying theories of time with generalised reactive processes

Towards Deductive Verification of Control Algorithms for Autonomous Marine Vehicles

International Conference on Engineering of Complex Computer Systems

Calculational Verification of Reactive Programs with Reactive Relations and Kleene Algebra

Automated verification of reactive and concurrent programs by calculation

Journal of Logical and Algebraic Methods in Programming

A Unary Semigroup Trace Algebra

Relational and Algebraic Methods in Computer Science


Numenta published papers code and data

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex

How Can We Be So Dense? The Benefits of Using Highly Sparse Representations

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

Sequence learning, prediction, and replay in networks of spiking neurons

Going Beyond the Point Neuron: Active Dendrites and Sparse Representations for Continual Learning

Grid Cell Path Integration For Movement-Based Visual Object Recognition


Data Sets and Models for Evaluation of Lexical Semantic Change Detection

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

Simulating Lexical Semantic Change from Sense-Annotated Data

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection

Zenodo (CERN European Organization for Nuclear Research)

BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection

International Workshop on Semantic Evaluation

Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection

IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection

A collection of Swedish diachronic word embedding models trained on historical newspaper data

JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection


Evaluating Robustness of Neural Networks with Mixed Integer Programming

Provable defenses against adversarial examples via the convex outer adversarial polytope

Certified Defenses against Adversarial Examples

Algorithms for Verifying Deep Neural Networks

A Review of Formal Methods applied to Machine Learning

Global optimization of objective functions represented by ReLU networks

Training Provably Robust Models by Polyhedral Envelope Regularization

Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods

Verification of Neural Networks' Global Robustness


A Cloud Model for Exoplanets and Brown Dwarfs

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b

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

Cloud Parameterizations and their Effect on Retrievals of Exoplanet Reflection Spectroscopy

The Emission Spectrum of the Hot Jupiter WASP-79b from HST/WFC3

Data availability and requirements relevant for the Ariel space mission and other exoplanet atmosphere applications


High-performance Lagragian tracer model, standard compliant and ready to use out-of-the-box


Python Library for Signal/Image Data Analysis with Transport Methods

Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms

Radon cumulative distribution transform subspace modeling for image classification

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification

Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

End-to-End Signal Classification in Signed Cumulative Distribution Transform Space

Nearest Subspace Search in The Signed Cumulative Distribution Transform Space for 1D Signal Classification

Invariance encoding in sliced-Wasserstein space for image classification with limited training data

A novel reduced-order model for advection-dominated problems based on Radon-Cumulative-Distribution Transform

Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform

The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images


About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

A Survey on Time-Series Pre-Trained Models

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series Prediction


Open source stochastic quantum chemistry

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Journal of chemical theory and computation

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry

Preconditioning and Perturbative Estimators in Full Configuration Interaction Quantum Monte Carlo

Accelerating Stochastic Quantum Chemistry

Accelerating convergence to the thermodynamic limit with twist angle selection applied to methods beyond many-body perturbation theory.


An Efficient RML-Compliant Engine for Knowledge Graph Construction

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation


A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

ParlAI: A Dialog Research Software Platform

A Roadmap towards Machine Intelligence

CommAI: Evaluating the first steps towards a useful general AI

Combinatory Chemistry: Towards a Simple Model of Emergent Evolution

Class-Agnostic Continual Learning of Alternating Languages and Domains.


[Tool] For Knowledge Graph Representation Learning

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning


A DNS and LES box code

Turbulence Enrichment using Generative Adversarial Networks

Optimal closed-loop wake steering, Part 1: Conventionally neutral atmospheric boundary layer conditions

Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms

Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions

Modelling the induction, thrust and power of a yaw-misaligned actuator disk

Wind farm yaw control set-point optimization under model parameter uncertainty


These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization


Interface to the Mosek solver in Julia

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Exact SDP relaxations for quadratic programs with bipartite graph structures

Safe Feedback Motion Planning: A Contraction Theory and ℒ_1-Adaptive Control Based Approach

Electricity and Reserve Pricing in Chance-Constrained Electricity Markets with Asymmetric Balancing Reserve Policies


SPADE: Support for Provenance Auditing in Distributed Environments

Xanthus: Push-button Orchestration of Host Provenance Data Collection

Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems

Kellect: a Kernel-Based Efficient and Lossless Event Log Collector for Windows Security


Version of the carmen robot framework developed by LCAD for IARA - Intelligent Autonomous Robotic Autonomobile.

Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars

International Joint Conference on Neural Network

Mapping Road Lanes Using Laser Remission and Deep Neural Networks

What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment

Memory-like Map Decay for Autonomous Vehicles based on Grid Maps

Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks


The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Task-adaptive Neural Process for User Cold-Start Recommendation

Enhancing Factorization Machines with Generalized Metric Learning

ColdNAS: Search to Modulate for User Cold-Start Recommendation

Cross-Domain Meta-Learner for Cold-Start Recommendation

IEEE Transactions on Knowledge and Data Engineering


Noise or Signal: The Role of Image Backgrounds in Object Recognition

Time Is MattEr: Temporal Self-supervision for Video Transformers

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations

The Entropy Enigma: Success and Failure of Entropy Minimization


A set of treebanks for multiple languages annotated in basic Stanford-style dependencies.

Many Languages, One Parser

A Sub-Character Architecture for Korean Language Processing

A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks

International Conference on Computational Linguistics

Low-Resource Parsing with Crosslingual Contextualized Representations

Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction

Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning

Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments

RELEVANCE OF LINGUISTIC STRUCTURE IN NEURAL ARCHITECTURES FOR NLP

Apprentissage d'analyseur en dépendances cross-lingue par projection partielle de dépendances (Cross-lingual learning of dependency parsers from partially projected dependencies).


Code and data for ACL20 paper "Incorporating External Knowledge through Pre-training for Natural Language to Code Generation"

In-IDE Code Generation from Natural Language: Promise and Challenges

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Symmetric Nonnegative Matrix Factorization for Graph Clustering

SIAM International Conference on Data Mining

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons

SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering

Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation

Community Detection in Fully-Connected Multi-layer Networks Through Joint Nonnegative Matrix Factorization


[CVPR'21] [Jittor & Pytorch] DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Neural Kernel Surface Reconstruction


MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Representation Learning for Conversational Data using Discourse Mutual Information Maximization


Reparameterized Discrete Diffusion Models for Text Generation

Structured Denoising Diffusion Models in Discrete State-Spaces

A Reparameterized Discrete Diffusion Model for Text Generation

Unified Discrete Diffusion for Categorical Data


MGTBench: Benchmarking Machine-Generated Text Detection


[CVPR 2023] CMT: Contrastive Mean Teacher for Domain Adaptive Object Detectors

Cross-Domain Adaptive Teacher for Object Detection

Learning Domain Adaptive Object Detection with Probabilistic Teacher


Integrative orthogonal non-negative matrix factorization

Deep Learning in Mining Biological Data

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

Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction

Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure

A Review About RNA–Protein-Binding Sites Prediction Based on Deep Learning

Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes


PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

Class-Adaptive Sampling Policy for Efficient Continual Learning