This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.

Empathy: A Review of the Concept

The Emerging Study of Positive Empathy

Social and personality psychology compass

Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community

Constructing Knowledge Graphs of Depression

What If Bots Feel Moods?

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

Assessing Users' Mental Status from their Journaling Behavior through Chatbots

PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS (ACM IVA 2020)

I like that you feel my pain, but I love that you feel my joy: Empathy for a partner’s negative versus positive emotions independently affect relationship quality

Journal of social and personal relationships

The Language of Situational Empathy

Proceedings of the ACM on human-computer interaction

Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking


DroneDeploy Machine Learning Segmentation Benchmark

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

EarthNets: Empowering AI in Earth Observation

Aerial Imagery Pixel-level Segmentation

Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images

Hierarchical Semantic Segmentation using Psychometric Learning


PyTorch implementation of some attentions for Deep Learning Researchers.

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Effective Approaches to Attention-based Neural Machine Translation

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

Attention-Based Models for Speech Recognition

Neural Turing Machines


The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Evaluation of Various State of the Art Head Pose Estimation Algorithms for Clinical Scenarios

Geometrically Adaptive Dictionary Attack on Face Recognition

BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs


A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

The VoicePrivacy 2020 Challenge Evaluation Plan

Performance-Efficiency Trade-offs in Unsupervised Pre-training for
  Speech Recognition

SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation
  on Natural Speech

Joint Masked CPC and CTC Training for ASR

Simple and Effective Unsupervised Speech Translation

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

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


"MesoNet: a Compact Facial Video Forgery Detection Network" (D. Afchar, V. Nozick) - IEEE WIFS 2018

International Workshop on Information Forensics and Security

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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

IEEE European Symposium on Security and Privacy

Detection of Fake and Fraudulent Faces via Neural Memory Networks

IEEE transactions on information forensics and security

DeepFake-o-meter: An Open Platform for DeepFake Detection

Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks.

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection


Code for the paper "Deep Entity Matching with Pre-trained Language Models"

Deep Entity Matching with Pre-Trained Language Models

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

FlexER: Flexible Entity Resolution for Multiple Intents

Ground Truth Inference for Weakly Supervised Entity Matching

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based
  Matching Algorithms


An extension of XGBoost to probabilistic modelling

XGBoostLSS -- An extension of XGBoost to probabilistic forecasting

Distributional Gradient Boosting Machines

Multi-Target XGBoostLSS Regression


This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

FlowFace: Semantic Flow-guided Shape-aware Face Swapping


Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data

R3M: A Universal Visual Representation for Robot Manipulation

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

Pre-Trained Image Encoder for Generalizable Visual Reinforcement
  Learning

VideoDex: Learning Dexterity from Internet Videos

Structured World Models from Human Videos

Learning and Retrieval from Prior Data for Skill-based Imitation
  Learning

Compositional Foundation Models for Hierarchical Planning

Spatiotemporal Predictive Pre-training for Robotic Motor Control


Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Deep Graph Generators: A Survey

Graph Generation via Scattering

Molecular Graph Generation via Geometric Scattering

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder


Creative Commons Attribution 4.0 International

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

INSTANCE – the Italian seismic dataset for machine learning

Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research

An automatic P-wave onset time picking method for mining-induced microseismic data based on long short-term memory deep neural network

Real-time Earthquake Monitoring using Deep Learning: a case study on
  Turkey Earthquake Aftershock Sequence

FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines


Convert SNPs in VCF format to PHYLIP, NEXUS, binary NEXUS, or FASTA alignments for phylogenetic analysis

Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum

Estimating uncertainty in divergence times among three-spined stickleback clades using the multispecies coalescent

Between a Rock and a Hard Polytomy: Phylogenomics of the Rock-Dwelling Mbuna Cichlids of Lake Malaŵi

Utilizing museomics to trace the complex history and species boundaries in an avian-study system of conservation concern

Genome Size Variation and Evolution Driven by Transposable Elements in the Genus Oryza

Phylogenomic Analyses Show Repeated Evolution of Hypertrophied Lips Among Lake Malawi Cichlid Fishes

Comparative Genomics Analysis Demonstrated a Link Between Staphylococci Isolated From Different Sources: A Possible Public Health Risk

Miocene Diversification in the Savannahs Precedes Tetraploid Rainforest Radiation in the African Tree Genus Afzelia (Detarioideae, Fabaceae)

Sequence capture using AFLP‐generated baits: A cost‐effective method for high‐throughput phylogenetic and phylogeographic analysis

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis


Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

Scene Text Detection and Recognition: The Deep Learning Era

Deep Residual Text Detection Network for Scene Text

Boosting up Scene Text Detectors with Guided CNN

A High-Precision Method for Segmentation and Recognition of Shopping Mall Plans


Portuguese pre-trained BERT models

BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis

Portuguese Named Entity Recognition using BERT-CRF

Pre-training Polish Transformer-based Language Models at Scale

LegalNLP - Natural Language Processing methods for the Brazilian Legal Language

Benchmarking Natural Language Inference and Semantic Textual Similarity for Portuguese

TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark

Sense representations for Portuguese: experiments with sense embeddings and deep neural language models


Official implementation of Diffusion Autoencoders

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation


End-to-end Neural Coreference Resolution

Higher-order Coreference Resolution with Coarse-to-fine Inference

BERT for Coreference Resolution: Baselines and Analysis

Strategies for Structuring Story Generation

Resolving Gendered Ambiguous Pronouns with BERT

Question Rewriting for Conversational Question Answering

Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Knowledge-aware Pronoun Coreference Resolution

The Role of Context in Detecting Previously Fact-Checked Claims


Land Ice Verification & Validation Toolkit

LIVVkit 2.1: automated and extensible ice sheet model validation


Method of systematic environment generation for autonomous robot navigation testing/training

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons
  learned from The BARN Challenge at ICRA 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons
  learned from The 2nd BARN Challenge at ICRA 2023

The BARN Challenge 2023 -- Autonomous Navigation in Highly Constrained
  Spaces -- Inventec Team


Rigorous computation of the endomorphism ring of a Jacobian

Sato-Tate groups of abelian threefolds

An inverse Jacobian algorithm for Picard curves

Isogenous hyperelliptic and non-hyperelliptic Jacobians with maximal complex multiplication


Implementation of the Regularized Nonlinear Acceleration algorithm

Nonlinear Acceleration of Deep Neural Networks

Nonlinear Acceleration of CNNs

Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization

Direct Nonlinear Acceleration


Fourth Open Gravitational-wave Catalog of Compact Binary Mergers (4-OGC). Using the data from LIGO and Virgo from 2015-2020, a comprehensive catalog including 94 detected mergers (90 BBH, 2 BNS, 2 NSBH) and sub-threshold candidates throughout O1, O2, O3a, and O3b..

4-OGC: Catalog of Gravitational Waves from Compact Binary Mergers

Search for Coincident Gravitational Waves and Long Gamma-Ray Bursts from 4-OGC and the Fermi-GBM/Swift-BAT Catalog

New black hole mergers in the LIGO-Virgo O3 data from a gravitational
  wave search including higher-order harmonics


Gravitational Rigid-body InTegrators, for simulating the coupled dynamics of both spin and orbit.

GRIT: A Package for Structure-Preserving Simulations of Gravitationally Interacting Rigid Bodies

Data-driven discovery of non-Newtonian astronomy via learning
  non-Euclidean Hamiltonian

Low Spin-Axis Variations of Circumbinary Planets

Were the Obliquities in DI Herculis Excited by an Unseen Tertiary Companion?


Gauge Link Utility (GLU) is a lattice field theory library.

Domain wall QCD with physical quark masses

K →ππ Δ I=3/2 decay amplitude in the continuum limit

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Nonperturbative Renormalization of Nonlocal Quark Bilinears for Parton Quasidistribution Functions on the Lattice Using an Auxiliary Field

The decay constants ��_�� and ��_��_�� in the
  continuum limit of ��_��=2+1 domain wall lattice QCD

The Journal of high energy physics/The journal of high energy physics

Lattice continuum-limit study of nucleon parton quasidistribution functions

Dark matter from strong dynamics: the minimal theory of dark baryons

Improved lattice fermion action for heavy quarks

Conjugate Directions in Lattice Landau and Coulomb Gauge Fixing

An exploratory study of heavy domain wall fermions on the lattice

Diquark properties from full QCD lattice simulations


This is the parent repository for all the GEDE related activities (PIDs, Repositories, blockchains, citations, digital objects, surveys). We welcome comments to all activities.

FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Not Ready for Convergence in Data Infrastructures

Open Science and Data Science

Reproducible Research Publication Workflow: A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output

Updating Linked Data practices for FAIR Digital Object principles

A 25 Year Retrospective on D-Lib Magazine

Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)

Revolutions Take Time


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


This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

SPIRAL: Self-supervised Perturbation-Invariant Representation Learning
  for Speech Pre-Training

An Efficient Membership Inference Attack for the Diffusion Model by
  Proximal Initialization

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to
  Speech

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled
  Representation and Prior Mixup for Verified Robust Voice Conversion

DiffVoice: Text-to-Speech with Latent Diffusion

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

StreamVC: Real-Time Low-Latency Voice Conversion


Software to modify lateral boundary conditions of a reanalysis driven historical simulation to obtain the boundary conditions of a future scenario climate simulation following the pseudo-global warming (PGW) approach

Causes of future Mediterranean precipitation decline depend on the season

The Role of Hadley Circulation and Lapse-Rate Changes for the Future European Summer Climate

The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses

Application of the Pseudo-Global Warming Approach in a Kilometer-Resolution Climate Simulation of the Tropics

Journal of geophysical research. Atmospheres


BabyBear: Cheap inference triage for expensive language models

Neural Embeddings for Text

Does Summary Evaluation Survive Translation to Other Languages?

Linear Cross-Lingual Mapping of Sentence Embeddings


Python Distributed Non Negative Matrix Factorization with custom clustering

COVID-19 Multidimensional Kaggle Literature Organization

Proceedings of the 21st ACM Symposium on Document Engineering

SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative
  Matrix Factorization with Automatic Model Selection

Distributed non-negative RESCAL with Automatic Model Selection for
  Exascale Data

Distributed Out-of-Memory NMF on CPU/GPU Architectures

The Journal of supercomputing/Journal of supercomputing

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition

Eurographics Conference on Visualization

Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection


Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

Data Poisoning Won't Save You From Facial Recognition

UnGANable: Defending Against GAN-based Face Manipulation

Ulixes: Facial Recognition Privacy with Adversarial Machine Learning

Proceedings on Privacy Enhancing Technologies

FACE-AUDITOR: Data Auditing in Facial Recognition Systems

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

Face Recognition in the age of CLIP & Billion image datasets


TISIGNER: Unleash the power of synthetic biology

Solubility-Weighted Index: fast and accurate prediction of protein solubility

TISIGNER.com: web services for improving recombinant protein production


Suite of universal indexes for Highly Repetitive Document Collections

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

Journal of the Association for Computing Machinery

Optimal-Time Text Indexing in BWT-runs Bounded Space

Universal Indexes for Highly Repetitive Document Collections

Grammar-Compressed Indexes with Logarithmic Search Time

A Fast and Small Subsampled R-index

On the Reproducibility of Experiments of Indexing Repetitive Document Collections

Joint Conference of the Information Retrieval Communities in Europe


Codon Usage Analysis and Prediction  of Gene Expressivity

DAZL mediates a broad translational program regulating expansion and differentiation of spermatogonial progenitors

Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning

Translation and natural selection of micropeptides from long non-canonical RNAs

Comprehensive Analysis of Codon Usage on Porcine Astrovirus

Evolution of Transmissible Gastroenteritis Virus (TGEV): A Codon Usage Perspective

International journal of molecular sciences

Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics

Codon usage bias and dinucleotide preference in 29 Drosophila species

Evolutionary Patterns of Codon Usage in Major Lineages of Porcine Reproductive and Respiratory Syndrome Virus in China


Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch  (NeurIPS 2020)

Personalized Federated Learning with First Order Model Optimization

FedLab: A Flexible Federated Learning Framework

Efficient Distribution Similarity Identification in Clustered Federated
  Learning via Principal Angles Between Client Data Subspaces

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

FedMe: Federated Learning via Model Exchange

Spatial-temporal Prompt Learning for Federated Weather Forecasting

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

ニューフードインダストリー

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment


Topic Modeling in Embedding Spaces

Topic Modeling in Embedding Spaces

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

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

Evaluating the Robustness of Embedding-Based Topic Models to OCR Noise

Zenodo (CERN European Organization for Nuclear Research)

Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model


a Sparse Direct Solver modulo p

Cluster adjacency and the four-loop NMHV heptagon

Complete integration-by-parts reductions of the non-planar hexagon-box via module intersections

Cluster adjacency beyond MHV

Integration-by-parts reductions of Feynman integrals using Singular and GPI-Space

Bootstrapping a stress-tensor form factor through eight loops

The Steinmann Cluster Bootstrap for N=4 Super Yang-Mills Amplitudes

Equivariant birational geometry and modular symbols

NeatIBP 1.0, A package generating small-size integration-by-parts
  relations for Feynman integrals

SymBuild: a package for the computation of integrable symbols in scattering amplitudes

The SAGEX review on scattering amplitudes Chapter 5: Analytic bootstraps for scattering amplitudes and beyond


Contains data, format checker, scorer and baselines for the CLEF2020-CheckThat! Task 1.

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

CheckThat! at CLEF 2020: Enabling the Automatic Identification and
  Verification of Claims in Social Media

QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions


A Mathematica package for the derivation of functional equations

Nonperturbative properties of Yang-Mills theories

Lorentzian quantum gravity and the graviton spectral function

DoFun 3.0: Functional equations in mathematica

QMeS-Derivation: Mathematica package for the symbolic derivation of functional equations


An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Ultra Fast Structure-aware Deep Lane Detection

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection


Artificial Benchmark for Community Detection (ABCD) - A Fast Random Graph Model with Community Structure

Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure

Modularity of the ABCD Random Graph Model with Community Structure

Evaluating Node Embeddings of Complex Networks

Properties and Performance of the ABCDe Random Graph Model with Community Structure

Hypergraph Artificial Benchmark for Community Detection (h-ABCD)

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

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

Survey of Generative Methods for Social Media Analysis


Hazel v2.0: synthesis and inversion of Stokes profiles caused by the joint action of atomic level polarization and the Hanle and Zeeman effects

Determining the dynamics and magnetic fields in He I 10830 Å during a solar filament eruption

Detecting Magnetic Fields in Exoplanets with Spectropolarimetry of the Helium Line at 1083 nm

Three-dimensional magnetic field structure of a flux-emerging region in the solar atmosphere


Empirical processing pipeline for The Virtual Brain

An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Constructing subject-specific virtual brains from multimodal neuroimaging data


KITTeL/KoAT

Alternating Runtime and Size Complexity Analysis of Integer Programs

Tools and Algorithms for Construction and Analysis of Systems

Termination Analysis of C Programs Using Compiler Intermediate Languages

Complexity and Resource Bound Analysis of Imperative Programs Using Difference Constraints

Termination Analysis of Imperative Programs Using Bitvector Arithmetic

Verified Software: Theories, Tools, Experiments

Synthesising Interprocedural Bit-Precise Termination Proofs

Difference Constraints: An adequate Abstraction for Complexity Analysis
  of Imperative Programs

Inferring Lower Runtime Bounds for Integer Programs

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021


Java library for nanopublications based on RDF4J

Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data

Making Digital Artifacts on the Web Verifiable and Reliable

IEEE transactions on knowledge and data engineering

Publishing without Publishers: a Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Provenance-Centered Dataset of Drug-Drug Interactions

nanopub-java: A Java Library for Nanopublications

Reliable Granular References to Changing Linked Data


Proteomics Toolset for Integrative Data Analysis

Proteomic profiling reveals CDK6 upregulation as a targetable resistance mechanism for lenalidomide in multiple myeloma

ESCRT-dependent STING degradation inhibits steady-state and cGAMP-induced signalling

Cyclin-Dependent Kinase 18 Controls Trafficking of Aquaporin-2 and Its Abundance through Ubiquitin Ligase STUB1, Which Functions as an AKAP

Mitochondria preserve an autarkic one-carbon cycle to confer growth-independent cancer cell migration and metastasis

Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues

Pan-claudin family interactome analysis reveals shared and specific interactions.

Inhibition of MYC translation through targeting of the newly identified PHB-eIF4F complex as a therapeutic strategy in CLL

Deep proteome profiling reveals signatures of age and sex differences in paw skin and sciatic nerve of naïve mice


Highly efficient therapeutic gene editing of human hematopoietic stem cells

Base editing rescue of spinal muscular atrophy in cells and in mice

In vivo HSC prime editing rescues sickle cell disease in a mouse model

Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice

Vision rescue via unconstrained in vivo prime editing in degenerating neural retinas

The Journal of experimental medicine/The journal of experimental medicine

Correction of a urea cycle defect after ex vivo gene editing of human hepatocytes

Molecular therapy : the journal of the American Society of Gene Therapy


An integrated R package to evaluate periodicity in large scale data

MetaCycle: an integrated R package to evaluate periodicity in large scale data

Genome-wide circadian rhythm detection methods: systematic evaluations and practical guidelines

Enhancement of Arabidopsis growth by non–24 hour day–night cycles

Transcriptome analysis of the binucleate ciliate Tetrahymena thermophila with asynchronous nuclear cell cycles


Set of utilities on sequences and BAM files

A unified catalog of 204,938 reference genomes from the human gut microbiome

Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma

A catalogue of 1,167 genomes from the human gut archaeome

Genome-resolved metagenomics using environmental and clinical samples

Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population

Draft genome sequence of a representative strain of the Catenibacterium genus isolated from human feces


SELEN: a program for solving the "Sea Level Equation".


A plugin for recording/exporting the output of Web Audio API nodes

ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds

PlugSonic: a web- and mobile-based platform for binaural audio and sonic narratives.

PlugSonic: a web- and mobile-based platform for dynamic and navigable binaural audio

EURASIP Journal on Audio, Speech, and Music Processing

Comparison of In-Person and Online Recordings in the Clinical Teleassessment of Speech Production: A Pilot Study


Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Perceiver: General Perception with Iterative Attention

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Neural Attentive Circuits

Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup

IEEE transactions on industrial informatics


An R package for Bayes Factor Design Analysis

Bayes factor design analysis: Planning for compelling evidence

The effectiveness of schema therapy for patients with anxiety disorders, OCD, or PTSD: A systematic review and research agenda

The British journal of clinical psychology

Additive Effects of Item-Specific and Congruency Sequence Effects in the Vocal Stroop Task

Registered report: The effects of incentivized lies on memory

Associations between aerobic fitness, negative symptoms, cognitive deficits and brain structure in schizophrenia - a cross-sectional study

Additional evidence that valence does not affect serial recall

The quarterly journal of experimental psychology/Quarterly journal of experimental psychology


[IJCV 2023] CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond


Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).

Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length

IEEE International Conference on Acoustics, Speech, and Signal Processing

A differentiable short-time Fourier transform with respect to the window length


Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion

Faster Learned Sparse Retrieval with Guided Traversal

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

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

On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval


Tutorials on the use of (Gaia) astrometry in astronomical data analysis or inference problems.

Multiwavelength Variability of BL Lacertae Measured with High Time Resolution

Chemical Abundance Signature of J0023+0307: A Second-generation Main-sequence Star with [Fe/H] < −6

Bow shocks, bow waves, and dust waves - III. Diagnostics

Monthly notices of the Royal Astronomical Society

Dust in the Wolf–Rayet nebula M 1-67

Solving the distance discrepancy for the open cluster NGC 2453. The
  planetary nebula NGC 2452 is not a cluster member


Formatted datasets for Machine Learning With R by Brett Lantz

Utility and Privacy Assessments of Synthetic Data for Regression Tasks

Selective Regression Under Fairness Criteria

Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine.

An implicit function learning approach for parametric modal regression


The continuous Bernoulli: fixing a pervasive error in variational autoencoders

Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning.

The continuous categorical: a novel simplex-valued exponential family

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

On the Normalizing Constant of the Continuous Categorical Distribution


Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA


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 ofZophobas morioandTenebrio molitor

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


Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

What do Neural Machine Translation Models Learn about Morphology?

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

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

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

DeepBase: Deep Inspection of Neural Networks


Sharing Updatable Models (SUM) on Blockchain

Decentralized & Collaborative AI on Blockchain

International Congress on Blockchain and Applications

Analysis of Models for Decentralized and Collaborative AI on Blockchain


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

Speaker Recognition from Raw Waveform with SincNet

pyannote.audio: neural building blocks for speaker diarization

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

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


Data-driven Network-based Bayesian Inference of Drivers

Large-scale genomic study reveals robust activation of the immune system following advanced Inner Engineering meditation retreat

Akt Inhibition Is Associated With Favorable Immune Profile Changes Within the Tumor Microenvironment of Hormone Receptor Positive, HER2 Negative Breast Cancer

Genome-wide methylation analysis reveals differentially methylated CpG sites and altered expression of heart development-associated genes in fetuses with cardiac defects

Combination of Ribociclib and Gemcitabine for the Treatment of Medulloblastoma


Transformers for Longer Sequences

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

Big Bird: Transformers for Longer Sequences

Long Range Arena: A Benchmark for Efficient Transformers

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

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

Degendering Resumes for Fair Algorithmic Resume Screening


A ready-to-go Python toolbox for seismic data analysis

Removing Noise from the Vertical Component Records of Ocean‐Bottom Seismometers: Results from Year One of the Cascadia Initiative

The bulletin of the Seismological Society of America/Bulletin of the Seismological Society of America

Amphibious surface-wave phase-velocity measurements of the Cascadia subduction zone

NoisePy: A New High-Performance Python Tool for Ambient-Noise Seismology

Improving ambient noise cross-correlations in the noisy ocean bottom environment of the Juan de Fuca plate

Numerical comparison of time-, frequency- and wavelet-domain methods for coda wave interferometry

SeisNoise.jl: Ambient Seismic Noise Cross Correlation on the CPU and GPU in Julia


Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Auto-Encoding Variational Bayes

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders

Residual-Recursion Autoencoder for Shape Illustration Images

Efficient Planning with Latent Diffusion


Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Face Recognition: Too Bias, or Not Too Bias?

Balancing Biases and Preserving Privacy on Balanced Faces in the Wild

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

Automatic Face Understanding: Recognizing Families in Photos


Species distribution modeling tools, including a python implementation of Maxent


Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Pix2seq: A Language Modeling Framework for Object Detection

Analog Bits: Generating Discrete Data using Diffusion Models with
  Self-Conditioning

A Unified Sequence Interface for Vision Tasks

On the Importance of Noise Scheduling for Diffusion Models

A Generalist Framework for Panoptic Segmentation of Images and Videos

Scalable Adaptive Computation for Iterative Generation

FIT: Far-reaching Interleaved Transformers


LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Do Machine Learning Models Produce TypeScript Types that Type Check?

Advanced Graph-Based Deep Learning for Probabilistic Type Inference

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International journal of artificial intelligence and machine learning


An integer linear program solver using a Lagrange decomposition into binary decision diagrams. Lagrange multipliers are updated through dual block coordinate ascent.

FastDOG: Fast Discrete Optimization on GPU

Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams

DOGE-Train: Discrete Optimization on GPU with End-to-end Training

Fast Discrete Optimisation for Geometrically Consistent 3D Shape
  Matching


Set of commonly used functions in photovoltaics


Data and information about the Polaris study

A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

Assessing structural variation in a personal genome—towards a human reference diploid genome

ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data

Characterization of 137 Genomic DNA Reference Materials for 28 Pharmacogenetic Genes: A GeT-RM Collaborative Project

The Journal of molecular diagnostics/The journal of molecular diagnostics

Diversity in non-repetitive human sequences not found in the reference genome

Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms

Inheritance of paternal DNA damage by histone-mediated repair restriction

NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data

Deep sequencing of 3 cancer cell lines on 2 sequencing platforms


Audio Commons Audio Extractor

DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks

Neural Percussive Synthesis Parameterised by High-Level Timbral Features

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With
  Autoencoding Generative Adversarial Networks


[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

Unified Detoxifying and Debiasing in Language Generation via
  Inference-time Adaptive Optimization


Meandering In Networks of Entities to Reach Verisimilar Answers

Deep Learning on Graphs: A Survey

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Reinforcement Learning on Graphs: A Survey

To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs

Fact Checking via Path Embedding and Aggregation


Latin BERT

Time Masking for Temporal Language Models

Latin BERT: A Contextual Language Model for Classical Philology

Named Entity Recognition and Classification in Historical Documents: A Survey

Temporal Attention for Language Models

Can Word Sense Distribution Detect Semantic Changes of Words?


Code Release for LF-Net: Learning Local Features from Images

On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods

PROCEEDINGS OF THE 2019 11TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2019)

Point Pattern Feature-Based Anomaly Detection for Manufacturing Defects, in the Random Finite Set Framework


The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.

A Robust Numerical Path Tracking Algorithm for Polynomial Homotopy Continuation

Accelerating polynomial homotopy continuation on a graphics processing unit with double double and quad double arithmetic

Least Squares on GPUs in Multiple Double Precision


Efficient parallel quantum chemistry DMRG in MPO formalism

Block2: A comprehensive open source framework to develop and apply state-of-the-art DMRG algorithms in electronic structure and beyond.

A comparison between the one- and two-step spin-orbit coupling
  approaches based on the ab initio Density Matrix Renormalization Group


Really Fast End-to-End Jax RL Implementations

Discovered Policy Optimisation

Model-Free Opponent Shaping

Adversarial Cheap Talk

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement
  Learning


Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

RLSbench: Domain Adaptation Under Relaxed Label Shift

HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts


A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR

SynDiffix: More accurate synthetic structured data


This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

Deep Learning for Medical Image Processing: Overview, Challenges and Future

Regularizing CNNs with Locally Constrained Decorrelations

Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy

Enhancing SDO/HMI images using deep learning

Training deep neural networks for wireless sensor networks using loosely and weakly labeled images


an automated river analysis and mapping engine


Pytorch Implementation of Urban Flow Magnifier (UrbanFM), KDD-19

UrbanFM: Inferring Fine-Grained Urban Flows

Fine-Grained Urban Flow Inference

Road Network Guided Fine-Grained Urban Traffic Flow Inference


A Knowledge Graph for Relational Learning On Biological Data

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A
  Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs


Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

Visual Robot Task Planning

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

Training Frankenstein's Creature to Stack: HyperTree Architecture Search.


Python package for early warning signals (EWS) of bifurcations in time series data.

Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data

Indicators of transitions in biological systems

ewstools: A Python package for early warning signals of bifurcations in time series data

LSTM-certainty as early warning signal for critical transitions

pyveg: A Python package for analysing the time evolution of patterned vegetation using Google Earth Engine

Predicting critical transitions in assortative spin-shifting networks


This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

StruBERT: Structure-aware BERT for Table Search and Matching

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline

International Conference on Computational Linguistics

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science

Observatory: Characterizing Embeddings of Relational Tables


Training and Detecting Objects with YOLO3

Underwater Fish Detection Using Deep Learning for Water Power Applications

FOD-A: A Dataset for Foreign Object Debris in Airports

Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

International journal of environmental research and public health

Latent Space Inpainting for Loss-Resilient Collaborative Object Detection

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards

Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things

Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning


Computer algebra package for quantum mechanics and photonic quantum networks

Efficient optimization of state preparation in quantum networks using quantum trajectories

Coherent LQG Control, Free-Carrier Oscillations, Optical Ising Machines
  and Pulsed OPO Dynamics


TwoPhaseFlow: A Framework for Developing Two Phase Flow Solvers in OpenFOAM

Numerical wetting benchmarks -- advancing the plicRDF-isoAdvector
  unstructured Volume-of-Fluid (VOF) method

A benchmark for surface-tension-driven incompressible two-phase flows


Classifies galaxy morphology with Bayesian CNN

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

Practical galaxy morphology tools from deep supervised representation learning

A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification

Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys

Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy


[ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data


The Implementation of FastSpeech based on pytorch.

Attention Is All You Need

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech


a molecular descriptor calculator

DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance

Frontiers in bioengineering and biotechnology

Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction

Mosquito Olfactory Response Ensemble: a curated database of behavioral and electrophysiological responses enables pattern discovery


BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network

Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models

Question-Agnostic Attention for Visual Question Answering

International Conference on Pattern Recognition

Fashion-IQ 2020 Challenge 2nd Place Team's Solution


code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking

Revisiting Link Prediction: A Data Perspective

Simplifying Subgraph Representation Learning for Scalable Link
  Prediction


This is a  paper list about Machine Learning for IDSes

A Deep Learning Approach for Network Intrusion Detection System

Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks

A Semantic Parsing Based LSTM Model for Intrusion Detection

NEURAL INFORMATION PROCESSING (ICONIP 2018), PT IV


Convolutional Neural Networks for Sentence Classification in Keras

Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence

Open-world Machine Learning: Applications, Challenges, and Opportunities

Detecting state of aggression in sentences using CNN

Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish


A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences

Beyond Exponentially Discounted Sum: Automatic Learning of Return
  Function

Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning

Model-Based Episodic Memory Induces Dynamic Hybrid Controls

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning

Thompson Sampling with Diffusion Generative Prior

Learning to Shape Rewards using a Game of Two Partners

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse


Automatically exported from code.google.com/p/cdhit

The tuatara genome reveals ancient features of amniote evolution

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

Comparative transcriptome analysis of lufenuron-resistant and susceptible strains of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Genome sequences of three Aegilops species of the section Sitopsis reveal phylogenetic relationships and provide resources for wheat improvement

The Plant journal : for cell and molecular biology

Genes of the Pig, Sus scrofa, reconstructed with EvidentialGene

Deepening of In Silico Evaluation of SARS-CoV-2 Detection RT-qPCR Assays in the Context of New Variants

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Whole-Genome Sequencing of Six Borrelia miyamotoi Clinical Strains Isolated in Russia

Wheat Encodes Small, Secreted Proteins That Contribute to Resistance to Septoria Tritici Blotch

A Degeneration Gradient of Poplar Trees Contributes to the Taxonomic, Functional, and Resistome Diversity of Bacterial Communities in Rhizosphere Soils

International journal of molecular sciences


Tools and tutorials for the OpenMIC-2018 dataset.

Multitask learning for frame-level instrument recognition

Multi-Task Self-Supervised Pre-Training for Music Classification

Receptive-Field Regularized CNNs for Music Classification and Tagging


Kaldi-based Korean ASR (한국어 음성인식) open-source project

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition

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

Open Korean Corpora: A Practical Report

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

Kosp2e: Korean Speech to English Translation Corpus

Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition

Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences


Mining CRISPRs in Environmental Datasets

A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases

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

An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Probing Genomic Aspects of the Multi-Host Pathogen Clostridium perfringens Reveals Significant Pangenome Diversity, and a Diverse Array of Virulence Factors

gcMeta: a Global Catalogue of Metagenomics platform to support the archiving, standardization and analysis of microbiome data

Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality

Diverse virus-encoded CRISPR-Cas systems include streamlined genome editors

Phylogenomics and comparative genomics of Lactobacillus salivarius, a mammalian gut commensal

Moisture Modulates Soil Reservoirs of Active DNA and RNA Viruses

Zenodo (CERN European Organization for Nuclear Research)

Spinal Cord Injury Changes the Structure and Functional Potential of Gut Bacterial and Viral Communities


llmstep: [L]LM proofstep suggestions in Lean 4.

Proof Artifact Co-training for Theorem Proving with Language Models

Llemma: An Open Language Model For Mathematics

LLMSTEP: LLM proofstep suggestions in Lean


Another Domain Adaptation library, aimed at researchers.

Domain-Adversarial Training of Neural Networks

Deep Transfer Learning with Joint Adaptation Networks

语文教学通讯：初中（B）

Wasserstein Distance Guided Representation Learning for Domain Adaptation

ADAPT : Awesome Domain Adaptation Python Toolbox

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge
  Transfer Networks

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python


Visual Room Rearrangement

Simple but Effective: CLIP Embeddings for Embodied AI

Visual Room Rearrangement

TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors


[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

Benchmarking and Explaining Large Language Model-based Code Generation:
  A Causality-Centric Approach

LFTK: Handcrafted Features in Computational Linguistics

Linguistic Properties of Truthful Response


Python wrapper for the PubChem PUG REST API.

webchem: An R Package to Retrieve Chemical Information from the Web

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter

Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains

DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning

Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions.

Artificial Intelligence in Decrypting Cytoprotective Activity under Oxidative Stress from Molecular Structure


This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Self Pre-training with Masked Autoencoders for Medical Image
  Classification and Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

3D TransUNet: Advancing Medical Image Segmentation through Vision
  Transformers


MelGAN vocoder (compatible with NVIDIA/tacotron2)

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

A Survey on Neural Speech Synthesis

SpeedySpeech: Efficient Neural Speech Synthesis

Creation and Detection of German Voice Deepfakes


Paper List for Fair Graph Learning (FairGL).

InFoRM: Individual Fairness on Graph Mining

Individual Fairness for Graph Neural Networks: A Ranking based Approach

A Unifying Framework for Fairness-Aware Influence Maximization

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

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

ACM transactions on intelligent systems and technology

Fairness-Aware Recommendation in Multi-Sided Platforms

Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection

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

Fair Graph Representation Learning with Imbalanced and Biased Data


Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference


Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019

OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas

Layer-structured 3D Scene Inference via View Synthesis

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

360^o Surface Regression with a Hyper-Sphere Loss


A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Exploring emotional prototypes in a high dimensional TTS latent space

Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention

Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis.


Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language
  Model

Pre-training Polish Transformer-based Language Models at Scale

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

A Zipf's law-based text generation approach for addressing imbalance in entity extraction

Character, Word, or Both? Revisiting the Segmentation Granularity for
  Chinese Pre-trained Language Models


Meta-Learning with Implicit Gradients

Deep Equilibrium Models

Bilevel Optimization: Convergence Analysis and Enhanced Design

On the Iteration Complexity of Hypergradient Computation

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

On the Convergence Theory for Hessian-Free Bilevel Algorithms

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis

Bilevel Optimization with a Lower-level Contraction: Optimal Sample
  Complexity without Warm-start


Finetuned Language Models Are Zero-Shot Learners

Scaling Instruction-Finetuned Language Models

The Flan Collection: Designing Data and Methods for Effective
  Instruction Tuning

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

Instruction Tuning for Large Language Models: A Survey

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large
  Language Models

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation


Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Few-NERD: A Few-Shot Named Entity Recognition Dataset

Decomposed Meta-Learning for Few-Shot Named Entity Recognition

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

A survey on recent advances in named entity recognition

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition


Working with eBird data in R


Code release for ActionFormer (ECCV 2022)

ActionFormer: Localizing Moments of Actions with Transformers

Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D
  Moment Queries Challenge

NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to
  the Ego4D Moment Queries Challenge 2023

UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization

Proceedings of the 31st ACM International Conference on Multimedia

FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation


Learning Deep Features for Discriminative Localization

Parameter-Free Spatial Attention Network for Person Re-Identification

Simple and Effective: Spatial Rescaling for Person Reidentification

IEEE transactions on neural networks and learning systems


ViLMedic (Vision-and-Language medical research) is a modular framework for vision and language multimodal research in the medical field

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Generating Radiology Reports via Memory-driven Transformer

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

International Conference on Computer Vision

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

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

ViLMedic: a framework for research at the intersection of vision and language in medical AI

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization

Workshop on Biomedical Natural Language Processing

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities


Attention-based sequence to sequence learning

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence Level Training with Recurrent Neural Networks

Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

End-to-End Automatic Speech Translation of Audiobooks

Unwritten Languages Demand Attention Too! Word Discovery with
  Encoder-Decoder Models

Syntax-Aware Data Augmentation for Neural Machine Translation

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018


Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

A Simple Language Model for Task-Oriented Dialogue

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Efficient Dialogue State Tracking by Selectively Overwriting Memory

KLUE: Korean Language Understanding Evaluation

Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

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

Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Controllable Dialogue Simulation with In-Context Learning

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Attention Guided Dialogue State Tracking with Sparse Supervision

Diable: Efficient Dialogue State Tracking as Operations on Tables


Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

Three-dimensional cranio-facial landmark detection in CT slices from a publicly available database, using multi-phased regression networks on a personal computer

Three-Dimensional Craniofacial Landmark Detection in Series of CT Slices Using Multi-Phased Regression Networks


Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


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


ETNLP: A toolkit to evaluate, extract, and visualize multiple embeddings

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

PhoBERT: Pre-trained language models for Vietnamese

ETNLP: a visual-aided systematic approach to select pre-trained
  embeddings for a downstream task

Predicting Job Titles from Job Descriptions with Multi-label Text Classification

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

ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings.

An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension

International Conference on Communications


An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

Learning to Shape Rewards using a Game of Two Partners

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation


A Python sandbox for decision making in dynamics

Delayed Impact of Fair Machine Learning

Strategic Classification

Performative Prediction


A python library that extracts data from various Starcraft II resources to power tools and services for the SC2 community.  Who doesn't want to hack on the games they play?

Attention Does Not Affect the Speed of Subjective Time, but Whether Temporal Information Guides Performance: A Large-Scale Study of Intrinsically Motivated Timers in a Real-Time Strategy Game

Learning to Identify Rush Strategies in StarCraft

Identifying Rush Strategies Employed in StarCraft II Using Support Vector Machines


Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features

Multimodal Semi-Supervised Learning for Text Recognition

Out-of-Vocabulary Challenge Report


中文法律对话语言模型

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

LawBench: Benchmarking Legal Knowledge of Large Language Models

LAiW: A Chinese Legal Large Language Models Benchmark

AviationGPT: A Large Language Model for the Aviation Domain

Large Language Models in Law: A Survey


:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。

NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation

Learning and Evaluating Chinese Idiom Embeddings

Recent Advances in Natural Language Processing

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles


Inferring, interpreting and visualising trajectories using a streamlined set of packages

Stearoyl-CoA Desaturase inhibition reverses immune, synaptic and cognitive impairments in an Alzheimer’s disease mouse model

The heterogeneity of mammalian utricular cells over the course of development


C++ implementation of the Brown word clustering algorithm.

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

Quantifying the Language of Schizophrenia in Social Media

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

Meeting of the Association for Computational Linguistics

Named Entity Recognition with Bilingual Constraints

Yara Parser: A Fast and Accurate Dependency Parser

Robust multilingual Named Entity Recognition with shallow semi-supervised features

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

If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Conditional Random Field Autoencoders for Unsupervised Structured Prediction


Produce elegant shaded error bars in MATLAB

Lipid peroxidation regulates long-range wound detection through 5-lipoxygenase in zebrafish.

Flagellar energetics from high-resolution imaging of beating patterns in tethered mouse sperm

A Recursive Markov Boundary-Based Approach to Causal Structure Learning

Post-explant profiling of subcellular-scale carbon fiber intracortical electrodes and surrounding neurons enables modeling of recorded electrophysiology

Sub-picoliter Traceability of Microdroplet Gravimetry and Microscopy

The Panopticon—Assessing the Effect of Starvation on Prolonged Fly Activity and Place Preference


Filtering and trimming of long read sequencing data

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

A preliminary study on the potential of Nanopore MinION and Illumina MiSeq 16S rRNA gene sequencing to characterize building-dust microbiomes

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Dynamic Transcriptome Sequencing of Bovine Alphaherpesvirus Type 1 and Host Cells Carried Out by a Multi-Technique Approach

A Comprehensive Multi-Omic Approach Reveals a Relatively Simple Venom in a Diet Generalist, the Northern Short-Tailed Shrew, Blarina brevicauda

Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing

Genomic Features of Rickettsia heilongjiangensis Revealed by Intraspecies Comparison and Detailed Comparison With Rickettsia japonica


A New Padding Scheme: Partial Convolution based Padding

Image Inpainting for Irregular Holes Using Partial Convolutions

Partial Convolution based Padding

MisConv: Convolutional Neural Networks for Missing Data

A Benchmark for Inpainting of Clothing Images with Irregular Holes


BtleJuice Bluetooth Smart (LE) Man-in-the-Middle framework

Playing With Danger: A Taxonomy and Evaluation of Threats to Smart Toys

BLEKeeper: Response Time Behavior Based Man-In-The-Middle Attack Detection

A Framework for Preserving Privacy and Cybersecurity in Brain-Computer
  Interfacing Applications


Gaussian Processes for Experimental Sciences

Deep Kernel Learning

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian
  Processes to Hypothesis Learning

Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials

Hypothesis-Driven Automated Experiment in Scanning Probe Microscopy:
  Exploring the Domain Growth Laws in Ferroelectric Materials

Deep Kernel Methods Learn Better: From Cards to Process Optimization

Physics-driven discovery and bandgap engineering of hybrid perovskites


haplotypic duplication identification tool

Identifying and removing haplotypic duplication in primary genome assemblies

Novel Insights on Obligate Symbiont Lifestyle and Adaptation to Chemosynthetic Environment as Revealed by the Giant Tubeworm Genome

The chromosome-scale genome sequence of Triadica sebifera provides insight into fatty acids and anthocyanin biosynthesis

Chromosomal-level genome assembly of the orchid tree Bauhinia variegata (Leguminosae; Cercidoideae) supports the allotetraploid origin hypothesis of Bauhinia

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

Biodiversity genomics of small metazoans: high quality de novo genomes from single specimens of field-collected and ethanol-preserved springtails

The genome sequence of the Common Carder Bee, Bombus pascuorum (Scopoli, 1763)

Chromosome-scale genome assembly of Prunus pusilliflora provides novel insights into genome evolution, disease resistance, and dormancy release in Cerasus L.

How to survive in the world’s third poplar: Insights from the genome of the highest altitude woody plant, Hippophae tibetana (Elaeagnaceae)

The genome sequence of the bulrush Neoascia, Neoascia interrupta (Meigen, 1822)

A Genome Sequence Assembly of the Phototactic and Optogenetic Model Fungus Blastocladiella emersonii Reveals a Diversified Nucleotide-Cyclase Repertoire


Machine learning for sequences.

Neural Machine Translation in Linear Time

Convolutions are competitive with transformers for protein sequence pretraining

Masked Inverse Folding with Sequence Transfer for Protein Representation Learning


Statistical NLG for spoken dialogue systems

Why We Need New Evaluation Metrics for NLG

The E2E Dataset: New Challenges For End-to-End Generation

Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

Semantic Noise Matters for Neural Natural Language Generation

Findings of the E2E NLG Challenge

A Context-aware Natural Language Generator for Dialogue Systems

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators

Training a Natural Language Generator From Unaligned Data

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring?

Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast


mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on 68 Ga-PSMA-11 PET/CT in patients with primary prostate cancer

LMPriors: Pre-Trained Language Models as Task-Specific Priors

RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma

Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

Radiomic analysis for early differentiation of lung cancer recurrence from fibrosis in patients treated with lung stereotactic ablative radiotherapy

A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity


Tombo is a suite of tools primarily for the identification of modified nucleotides from raw nanopore sequencing data.

Sequencing DNA with nanopores: Troubles and biases

Nanopore sequencing and its application to the study of microbial communities

Recent advances in the detection of base modifications using the Nanopore sequencer

Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer

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

The gap-free genome of mulberry elucidates the architecture and evolution of polycentric chromosomes

Full-Length Transcriptome of the Whale Shark (Rhincodon typus) Facilitates the Genome Information

Basecalling Using Joint Raw and Event Nanopore Data Sequence-to-Sequence Processing


Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

ProMP: Proximal Meta-Policy Search

Some Considerations on Learning to Explore via Meta-Reinforcement Learning

MAME : Model-Agnostic Meta-Exploration

Meta-Reinforcement Learning in Broad and Non-Parametric Environments

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation


Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning

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

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition

ProtoCLIP: Prototypical Contrastive Language Image Pretraining

Self-supervised Character-to-Character Distillation for Text Recognition


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

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

On Calibration of Modern Neural Networks

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


Fast SHAP value computation for interpreting tree-based models

A Unified Approach to Interpreting Model Predictions

Consistent Individualized Feature Attribution for Tree Ensembles

Fast TreeSHAP: Accelerating SHAP Value Computation for Trees


dabnn is an accelerated binary neural networks inference framework for mobile platform

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Forward and Backward Information Retention for Accurate Binary Neural Networks

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

A comprehensive review of Binary Neural Network

Balanced Binary Neural Networks with Gated Residual

Efficient Bitwidth Search for Practical Mixed Precision Neural Network


[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."

CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

Decoupled Training for Long-Tailed Classification With Stochastic
  Representations

AlphaNet: Improving Long-Tail Classification By Combining Classifiers


Code for "Text Generation from Knowledge Graphs with Graph Transformers"

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

A Survey of Knowledge-enhanced Text Generation

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

Generalized Supervised Attention for Text Generation

Identifying Semantic Induction Heads to Understand In-Context Learning


This toolbox aims to unify audio generation model evaluation for easier comparison.

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models

AUDIT: Audio Editing by Following Instructions with Latent Diffusion
  Models

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision,
  Language, Audio, and Action

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using
  Beat-Synchronous Mixup Strategies

Audiobox: Unified Audio Generation with Natural Language Prompts

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model


multilabel classification of EHR notes

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation

Revisiting Transformer-based Models for Long Document Classification

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

Medical code prediction with multi-view convolution and description-regularized label-dependent attention

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

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

A Unified Review of Deep Learning for Automated Medical Coding

Exemplar Auditing for Multi-Label Biomedical Text Classification


Active Learning for Convolutional Neural Networks: A Core-Set Approach

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Active Discriminative Text Representation Learning

Discriminative Active Learning

Scalable k-Means Clustering via Lightweight Coresets

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Similarity Search for Efficient Active Learning and Search of Rare Concepts

Small-Text: Active Learning for Text Classification in Python


Coronavirus (SARS-Cov-2) sequencing analysis

Prediction of SARS-CoV-2 Variant Lineages Using the S1-Encoding Region Sequence Obtained by PacBio Single-Molecule Real-Time Sequencing

Whole‐genome sequencing of SARS‐CoV‐2: Comparison of target capture and amplicon single molecule real‐time sequencing protocols

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing

VCFCons: a versatile VCF-based consensus sequence generator for small genomes


Code and scripts for NAACL 2022 industry track paper "Fast and Light-weight Answer Text Retrieval in Dialogue Systems". Built on top of ColBERT (https://github.com/stanford-futuredata/ColBERT).

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Relevance-guided Supervision for OpenQA with ColBERT


DSQSS -- Discrete Space Quantum System Solver

Fractional corner magnetization of collinear antiferromagnets

Universal and Non-Universal Correction Terms of Bose Gases in Dilute Region: A Quantum Monte Carlo Study

Journal of the Physical Society of Japan

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations

Spin Hall magnetoresistance in quasi-two-dimensional antiferromagnetic-insulator/metal bilayer systems


Dutch abusive language data

DALC: the Dutch Abusive Language Corpus

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

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

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


Crawl BookCorpus

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Skip-Thought Vectors

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Understanding Contrastive Representation Learning through Geometry on the Hypersphere

Contrastive Learning with Hard Negative Samples

Holistic Evaluation of Language Models

Debiased Contrastive Learning

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Increase of stillbirth and decrease of late preterm infants during the COVID-19 pandemic lockdown

Archives of disease in childhood. Fetal and neonatal edition

Data augmentation using back-translation for context-aware neural machine translation

Empirical Methods in Natural Language Processing


Tempo is a program for pulsar timing data analysis.

The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

The NANOGrav 15 yr Data Set: Observations and Timing of 68 Millisecond Pulsars

Asymmetric mass ratios for bright double neutron-star mergers

TIMING OF 29 PULSARS DISCOVERED IN THE PALFA SURVEY

Pulsar Timing Array Experiments


Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM

Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models

Joint emulation of Earth System Model temperature-precipitation realizations with internal variability and space-time and cross-variable correlation: fldgen v2.0 software description


The QUB Transient Classifier

RAPID: Early Classification of Explosive Transients Using Deep Learning

Publications of the Astronomical Society of the Pacific

Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

Star Formation and Morphological Properties of Galaxies in the Pan-STARRS 3π Survey. I. A Machine-learning Approach to Galaxy and Supernova Classification

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae


Preliminary DRAGON2 with the various cross section options

Implications of current nuclear cross sections on secondary cosmic rays with the upcoming DRAGON2 code

Journal of Cosmology and Astroparticle Physics

Combined analyses of the antiproton production from cosmic-ray interactions and its possible dark matter origin

FLUKA cross sections for cosmic-ray interactions with the DRAGON2 code

Journal of cosmology and astroparticle physics

New Markov-Chain Monte Carlo analyses for the evaluation of the antiproton background

Cosmic-ray propagation and production of secondary particles in the
  Galaxy

Robust constraints on feebly interacting particles using XMM-Newton

Multimessenger search for electrophilic feebly interacting particles from supernovae


Mixed graph Laplacian upscaling and solvers

Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems

Computer methods in applied mechanics and engineering

Multilevel spectral coarsening for graph Laplacian problems with application to reservoir simulation

An Aggregation-based Nonlinear Multigrid Solver for Two-phase Flow and
  Transport in Porous Media

Multilevel well modeling in aggregation-based nonlinear multigrid for
  multiphase flow in porous media


1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

Global Genetic Heterogeneity in Adaptive Traits

Polygenic adaptation of rosette growth in Arabidopsis thaliana


The Forward Physics Facility at the High-Luminosity LHC

Forward experiment sensitivity estimator for the LHC and future hadron colliders

FLArE up dark sectors with EM form factors at the LHC forward physics facility


Two-temperature General Relativistic Radiation Magnetohydrodynamics

Pair Drizzle around Sub-Eddington Supermassive Black Holes

Radiation GRMHD Simulations of the Hard State of Black Hole X-Ray Binaries and the Collapse of a Hot Accretion Flow

Radiation GRMHD simulations of M87: funnel properties and prospects for gap acceleration

Monthly notices of the Royal Astronomical Society


Climate aware CMS breaking web apps free from carbon emissions.


A general and accurate MACs / FLOPs profiler for PyTorch models

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Not All Patches are What You Need: Expediting Vision Transformers via
  Token Reorganizations

Is Attention Better Than Matrix Decomposition?

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

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

A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training

PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression

FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks


Forest fire history analysis in R.


Light-weight transfer learning framework for on-device speech and audio recognition using pre-trained image convolutional neural networks.

The ACM Multimedia 2022 Computational Paralinguistics Challenge:
  Vocalisations, Stuttering, Activity, & Mosquitoes

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data.


Software for Ontogenic aNalysis of Antibody Repertoires

Potent SARS-CoV-2 neutralizing antibodies directed against spike N-terminal domain target a single supersite

Gene-Specific Substitution Profiles Describe the Types and Frequencies of Amino Acid Changes during Antibody Somatic Hypermutation

cAb-Rep: A Database of Curated Antibody Repertoires for Exploring Antibody Diversity and Predicting Antibody Prevalence

SONAR: A High-Throughput Pipeline for Inferring Antibody Ontogenies from Longitudinal Sequencing of B Cell Transcripts

Modular basis for potent SARS-CoV-2 neutralization by a prevalent VH1-2-derived antibody class

Tracing Antibody Repertoire Evolution by Systems Phylogeny


FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Voice Conversion With Just Nearest Neighbors

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion


A global likelihood for the Standard Model Effective Field Theory

A global likelihood for precision constraints and flavour anomalies

A model of muon anomalies

Rare b decays meet high-mass Drell-Yan

The Journal of high energy physics/The journal of high energy physics

Anomalies in B mesons decays: a phenomenological approach

smelli -- the SMEFT Likelihood

Computing Tools for Effective Field Theories

LHC signatures of τ-flavoured vector leptoquarks

Anomalies in B mesons decays: Present status and future collider
  prospects


Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.


A solver for temporal programs.

Temporal Answer Set Programming on Finite Traces

Linear-Time Temporal Answer Set Programming

Theory and practice of logic programming

Implementing Dynamic Answer Set Programming

Temporal Answer Set Programming

LPOP: Challenges and Advances in Logic and Practice of Programming


Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback

Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers.

Recent Advances in SQL Query Generation: A Survey


A python package for making arbitrarily structured, arbitrary-dimension boxes

An Improved Statistical Point-source Foreground Model for the Epoch of Reionization

Intensity mapping cross-correlations II: HI halo models including shot noise

powerbox: A Python package for creating structured fields with isotropic power spectra

Closing the window on fuzzy dark matter with the 21-cm signal

The importance of galaxy formation histories in models of reionization

Monthly Notices of the Royal Astronomical Society

21cmFirstCLASS II. Early linear fluctuations of the 21cm signal

Topological data analysis reveals differences between simulated galaxies and dark matter haloes

21cmFirstCLASS I. Cosmological tool for ΛCDM and beyond


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

Statistical Model Checking for Hyperproperties

Data-Driven Debugging for Functional Side Channels

Quantitative Mitigation of Timing Side Channels

Guaranteeing Timed Opacity using Parametric Timed Model Checking

ACM transactions on software engineering and methodology

Parametric Timed Model Checking for Guaranteeing Timed Opacity

Efficient Detection and Quantification of Timing Leaks with Neural Networks

Incremental Adaptive Attack Synthesis

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

Electronic proceedings in theoretical computer science


paprica - PAthway PRediction by phylogenetIC plAcement

Microbial Communities Can Be Described by Metabolic Structure: A General Framework and Application to a Seasonally Variable, Depth-Stratified Microbial Community from the Coastal West Antarctic Peninsula

Sensitivity of the mangrove-estuarine microbial community to aquaculture effluent

Machine Learning Predicts Biogeochemistry from Microbial Community Structure in a Complex Model System

From microbial community structure to metabolic inference using paprica

Understanding Microbial Community Dynamics in Up-Flow Bioreactors to Improve Mitigation Strategies for Oil Souring

Detection of Sulfate-Reducing Bacteria as an Indicator for Successful Mitigation of Sulfide Production


Fast Radio Burst Population Synthesis in Python

Interpreting the distributions of FRB observables

CHIME/FRB Discovery of 25 Repeating Fast Radio Burst Sources

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

Synthesising the intrinsic FRB population using frbpoppy

Synthesising the repeating FRB population using frbpoppy

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

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

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

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


Quantum Monte Carlo package, TurboRVB

TurboGenius: Python suite for high-throughput calculations of ab initio
  quantum Monte Carlo methods


Calculate syllable count for English words.

BiasAsker: Measuring the Bias in Conversational AI System

Using automated syllable counting to detect missing information in speech transcripts from clinical settings

Quasi Error-free Text Classification and Authorship Recognition in a
  large Corpus of English Literature based on a Novel Feature Set

Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt


Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Robust deep learning-based semantic organ segmentation in hyperspectral images

Heidelberg colorectal data set for surgical data science in the sensor operating room

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Methods and open-source toolkit for analyzing and visualizing challenge results

Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms

bioRxiv : the preprint server for biology


Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools

A very-high-energy component deep in the γ-ray burst afterglow

Strong constraints on thermal relic dark matter from Fermi-LAT observations of the Galactic Center

Multiwaveband quasi-periodic oscillation in the blazar 3C 454.3

A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. I. The Fermi-LAT Gamma-Ray Light Curves of Selected Blazars

Observation of Photons above 300 TeV Associated with a High-energy Neutrino from the Cygnus Region

Diffuse gamma-ray emission toward the massive star-forming region, W40

3D template-based Fermi -LAT constraints on the diffuse supernova axion-like particle background

Galactic diffuse gamma rays meet the PeV frontier

Blazars at the Cosmic Dawn

Searching for the possible signal of the photon-axionlike particle oscillation in the combined GeV and TeV spectra of supernova remnants