An open source dataset for source separation

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Neural Target Speech Extraction: An overview

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech

L-SpEx: Localized Target Speaker Extraction

Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn’s Algorithm

International Conference on Acoustics, Speech, and Signal Processing

Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation

DASB -- Discrete Audio and Speech Benchmark

SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech


TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

TACTiS: Transformer-Attentional Copulas for Time Series

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process


Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

In Defense of the Triplet Loss for Person Re-Identification

Deep Mutual Learning

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification


CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph


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

Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification


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

Applying Fairness Constraints on Graph Node Ranks Under Personalization Bias

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


[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases


Stochastic Answer Networks (SAN) for Machine Reading Comprehension

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Stochastic Answer Networks for Machine Reading Comprehension

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

Stochastic Answer Networks for Natural Language Inference

Stochastic Answer Networks for SQuAD 2.0


Code for Biterm Topic Model (published in WWW 2013)

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Topic Modeling over Short Texts by Incorporating Word Embeddings

Topic-Aware Neural Keyphrase Generation for Social Media Language

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

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

A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

Topic Extraction from Microblog Posts Using Conversation Structures

Coupling Global and Local Context for Unsupervised Aspect Extraction

Empirical Methods in Natural Language Processing

Topic Modeling based on Keywords and Context

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

Attentive Representation Learning with Adversarial Training for Short Text Clustering


Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

On human motion prediction using recurrent neural networks

Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

IEEE transactions on pattern analysis and machine intelligence

Deep Learning for Vision-based Prediction: A Survey

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention


Universal and Transferable Adversarial Attacks on Aligned Language Models

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

On Prompt-Driven Safeguarding for Large Language Models

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization


Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium

The Robust Manifold Defense: Adversarial Training using Generative Models

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

MAGAN: Margin Adaptation for Generative Adversarial Networks


Classification with PyTorch.

Certified Adversarial Robustness via Randomized Smoothing

On the Variance of the Adaptive Learning Rate and Beyond

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

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

Systematic Evaluation of Privacy Risks of Machine Learning Models

Differentially Private Learning Needs Better Features (or Much More Data)

Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students

Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.


ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

A Deep Learning Approach to Clustering Visual Arts

Toward A Neuro-inspired Creative Decoder

Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation

Artwork Style Recognition Using Vision Transformers and MLP Mixer

Order Constraints in Optimal Transport


Framework for learning dialogue agents in a two-player game setting.

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

Decoupling Strategy and Generation in Negotiation Dialogues

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues

Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead


Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Direct Optimization through max for Discrete Variational Auto-Encoder

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables

GO Gradient for Expectation-Based Objectives


Grounded Language-Image Pre-training

Grounded Language-Image Pre-training

ViperGPT: Visual Inference via Python Execution for Reasoning

GLIPv2: Unifying Localization and Vision-Language Understanding

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

DesCo: Learning Object Recognition with Rich Language Descriptions

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Towards Robust Multi-Modal Reasoning via Model Selection


PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Offline RL for Natural Language Generation with Implicit Language Q Learning

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog

Improving Generative Visual Dialog by Answering Diverse Questions

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation


[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Hardware-Centric AutoML for Mixed-Precision Quantization

Pruning Ratio Optimization with Layer-Wise Pruning Method for Accelerating Convolutional Neural Networks

IEICE Transactions on Information and Systems


Sample scripts for the Bosch Small Traffic Lights Dataset

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection

A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

Prescriptive and Descriptive Approaches to Machine-Learning Transparency

EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022

Small, but important: Traffic light proposals for detecting small traffic lights and beyond


A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

MoleculeNet: a benchmark for molecular machine learning

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

One for All: Towards Training One Graph Model for All Classification Tasks

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs


Source materials supporting Stripe Climate carbon removal purchases (http://stripe.com/climate)


Efficient and general syntactical decoding for Large Language Models

Synchromesh: Reliable code generation from pre-trained language models

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning

SynCode: LLM Generation with Grammar Augmentation


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

Mixture of Experts in a Mixture of RL settings


Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

Instruction Tuning for Large Language Models: A Survey

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

A Survey of Reasoning with Foundation Models

Chinese Open Instruction Generalist: A Preliminary Release

LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

How to write a CHI paper (asking for a friend)


Automated Unittest Generation for Python

Pynguin: Automated Unit Test Generation for Python

Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

Symposium on Search Based Software Engineering

An empirical study of automated unit test generation for Python

Mokav: Execution-driven Differential Testing with LLMs


[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Citation-Enhanced Generation for LLM-based Chatbots

Learning to Plan and Generate Text with Citations

SEMQA: Semi-Extractive Multi-Source Question Answering

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation


Semantic Text Similarity Dataset Hub

Deep Learning for Answer Sentence Selection

Sentence Pair Scoring: Towards Unified Framework for Text Comprehension

Joint Learning of Sentence Embeddings for Relevance and Entailment

An Approach to Detecting the Spread of False Information on the Internet Using Data Science Algorithms


Surrogate Optimization Toolbox for Python

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Escaping local minima with local derivative-free methods: a numerical investigation

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Meta-matching as a simple framework to translate phenotypic predictive models from big to small data

A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems

Structural and Multidisciplinary Optimization

Rocketsled: a software library for optimizing high-throughput computational searches

Fast 4D cone-beam CT from 60 s acquisitions

Physics and imaging in radiation oncology

On the implementation of a global optimization method for mixed-variable problems

Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search


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

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

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

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

bioRxiv : the preprint server for biology

Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks

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

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

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

Multiple Origins of Bioluminescence in Beetles and Evolution of Luciferase Function


Code release for NeRF (Neural Radiance Fields)

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Neural Sparse Voxel Fields

Volume Rendering of Neural Implicit Surfaces

NeX: Real-time View Synthesis with Neural Basis Expansion

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

NEURAL RADIANCE FIELDS (NERF): REVIEW AND POTENTIAL APPLICATIONS TO DIGITAL CULTURAL HERITAGE


Evolution of Antibiotic Tolerance Shapes Resistance Development in Chronic Pseudomonas aeruginosa Infections

Global radiation in a rare biosphere soil diatom

Paralogs and off-target sequences improve phylogenetic resolution in a densely-sampled study of the breadfruit genus (Artocarpus, Moraceae)

Specialist Bee Species Are Larger and Less Phylogenetically Distinct Than Generalists in Tropical Plant–Bee Interaction Networks

Identification of a neural basis for cold acclimation in Drosophila larvae

Dynamic evolution of transposable elements, demographic history, and gene content of paleognathous birds

Relative Importance of Ecological, Evolutionary and Anthropogenic Pressures on Extinction Risk in Chinese Angiosperm Genera


Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration

Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study

ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection

A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter

Visual Analytics of Twitter and Social Media Dataflows: a Casestudy of COVID-19 Rumors

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration

Zenodo (CERN European Organization for Nuclear Research)

Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts

Cooperative Network Learning for Large-Scale and Decentralized Graphs


SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building

International Conference on Robotics and Automation

Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry


An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on a straight Arduino

P^2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling (extended version)

Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping

A Cartesian Coordinate Robot for Dispensing Fruit Fly Food

DESIGN OF CNC MILLING MACHINE AS A BASE OF INDUSTRY 4.0 ENTERPRISE

Fex: Assisted Identification of Domain Features from C Programs

WireShape - A Hybrid Prototyping Process for Fast & Reliable Manufacturing of Inflatable Interface Props with CNC-Fabricated Heat–Sealing Tools


Benchmark of federated learning. Dedicated to the community.

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Personalized Federated Learning: A Meta-Learning Approach

Adaptive Federated Optimization

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Model-Contrastive Federated Learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

Personalized Federated Learning with Moreau Envelopes

Ditto: Fair and Robust Federated Learning Through Personalization

FedMD: Heterogenous Federated Learning via Model Distillation

Federated Learning with Personalization Layers


An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

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

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Modeling Relationships in Referential Expressions with Compositional Modular Networks

Counterfactual Samples Synthesizing for Robust Visual Question Answering

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

Cycle-Consistency for Robust Visual Question Answering

Greedy Gradient Ensemble for Robust Visual Question Answering

Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering

LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

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


A library for factorization machines and polynomial networks for classification and regression in Python.

On the Computational Efficiency of Training Neural Networks

Android Malware Detection Based on Factorization Machine

Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition.


Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Thoughts on Massively Scalable Gaussian Processes

Learning Scalable Deep Kernels with Recurrent Structure

Deep recurrent Gaussian process with variational Sparse Spectrum approximation


[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

Understanding LLMs: A Comprehensive Overview from Training to Inference

SnapKV: LLM Knows What You are Looking for Before Generation


KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

Matching the Blanks: Distributional Similarity for Relation Learning

Entity, Relation, and Event Extraction with Contextualized Span Representations

Survey on English Entity Linking on Wikidata

Enriching Relation Extraction with OpenIE


PyTorch 3D video classification models pre-trained on 65 million Instagram videos

The Kinetics Human Action Video Dataset

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Large-scale weakly-supervised pre-training for video action recognition

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Medical Image Computing and Computer-Assisted Intervention

Improving Action Quality Assessment Using Weighted Aggregation

Improving Action Quality Assessment using ResNets and Weighted Aggregation.


The JIVE VLBI data recording and transport utility

Detection of two bright FRB-like radio bursts from magnetar SGR 1935+2154 during a multi-frequency monitoring campaign

Software and Techniques for VLBI Data Processing and Analysis

The Australian mixed-mode observing program

Broad band flux-density monitoring of radio sources with the Onsala twin telescopes


This is a repository for organizing codes related to re-identification (especially state-of-the-art reid methods).

Person Re-identification by Deep Learning Attribute-Complementary Information

Human Parsing Based Alignment With Multi-Task Learning For Occluded Person Re-Identification

International Conference on Multimedia and Expo

Fast Person Search Pipeline

Proxy Task Learning For Cross-Domain Person Re-Identification


The Free Evaluation System Framework (FreVa)


This is a modified version of the L-PICOLA code extending the COLA approach for simulating cosmological structure formation to theories that exhibit scale-dependent growth. It can compute matter power-spectra (CDM and total), redshift-space multipole power-spectra P0,P2,P4 and do halofinding on the fly. It can also include the effects of massive neutrinos on structure formation.

COLA with scale-dependent growth: applications to screened modified gravity models

Journal of Cosmology and Astroparticle Physics

COLA with massive neutrinos

Cosmological constraints on the gravitational constant

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Assessing non-linear models for galaxy clustering III: theoretical accuracy for stage IV surveys

Sesame: A power spectrum emulator pipeline for beyond-Lambda CDM models

Nonlinear cosmological structure with ultralight bosons via modified gravity


Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark dataset for visual domain adaptation.

Domain-Adversarial Training of Neural Networks

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Multi-Adversarial Domain Adaptation

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation


DSQSS -- Discrete Space Quantum System Solver

Fractional corner magnetization of collinear antiferromagnets

Update of HΦ: Newly added functions and methods in versions 2 and 3

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

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

Journal of the Physical Society of Japan

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


Python-based pulsar search data manipulation package

Detection of the magnetar XTE J1810-197 at 150 and 260 GHz with the NIKA2 kinetic inductance detector camera

KERN

A Search for Pulsars around Sgr A* in the First Event Horizon Telescope Data Set

The High Time Resolution Universe Pulsar survey – XVIII. The reprocessing of the HTRU-S Low Lat survey around the Galactic Centre using a Fast Folding Algorithm pipeline for accelerated pulsars

Monthly notices of the Royal Astronomical Society

Detecting pulsars with neural networks: a proof of concept

Monthly Notices of the Royal Astronomical Society


kinetic isotope effect prediction with Gaussian

Concerted nucleophilic aromatic substitutions

Matching Glycosyl Donor Reactivity to Sulfonate Leaving Group Ability Permits SN2 Glycosylations

Journal of the American Chemical Society

Hydrogen Tunneling in Catalytic Hydrolysis and Alcoholysis of Silanes

Mechanistic Investigation of the Nickel-Catalyzed Transfer Hydrocyanation of Alkynes


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


The 3DFI pipeline predicts the 3D structure of proteins and searches for structural homology in the 3D space.

Highly accurate protein structure prediction with AlphaFold

Overview of the CCP4 suite and current developments

Acta crystallographica. Section D, Biological crystallography

UCSF ChimeraX: Structure visualization for researchers, educators, and developers

Protein science : a publication of the Protein Society

Accurate prediction of protein structures and interactions using a three-track neural network

Template-based protein structure modeling using the RaptorX web server

Improved protein structure prediction using predicted interresidue orientations

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

Raptorx: Exploiting structure information for protein alignment by statistical inference

Proteins: Structure, Function, and Bioinformatics

RCSB Protein Data Bank: Architectural Advances Towards Integrated Searching and Efficient Access to Macromolecular Structure Data from the PDB Archive

3DFI: a pipeline to infer protein function using structural homology


Just a Microbiology System (JAMS) - a suite for analyzing microbiological sequencing data for use on NIH HPC systems (Biowulf)

Conventional Co-Housing Modulates Murine Gut Microbiota and Hematopoietic Gene Expression

International journal of molecular sciences

Association between microbial composition, diversity, and function of the maternal gastrointestinal microbiome with impaired glucose tolerance on the glucose challenge test

Metagenomic characterization of the maternal prenatal gastrointestinal microbiome by pregravid BMI


[EMNLP 2023] Adapting Language Models to Compress Long Contexts

Adapting Language Models to Compress Contexts

Efficient Prompting Methods for Large Language Models: A Survey

Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Compressed Context Memory For Online Language Model Interaction


This repository is dedicated to the fit@TDS software. A python code aiming at the retrieving of material parameter from a TeraHertz time domain spectroscopy (TDS) measurements from a fit in the time domain.

THz-TDS Time-Trace Analysis for the Extraction of Material and Metamaterial Parameters

Broadband super-resolution Terahertz Time domain spectroscopy applied to Gas analysis

A New Metric for the Comparison of Permittivity Models in Terahertz Time-Domain Spectroscopy

IEEE Transactions on Terahertz Science and Technology


Bioinformatic pipeline for identifying dsDNA breaks by marker based incorporation, such as breaks induced by designer nucleases like Cas9.

Genome-wide detection of CRISPR editing in vivo using GUIDE-tag

A more efficient CRISPR-Cas12a variant derived from Lachnospiraceae bacterium MA2020

LPA disruption with AAV-CRISPR potently lowers plasma apo(a) in transgenic mouse model: A proof-of-concept study

Molecular therapy. Methods & clinical development

Additional file 4: of iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity

Gene editing-based targeted integration for correction of Wiskott-Aldrich syndrome


Cynical data selection

Cynical Selection of Language Model Training Data

Data Selection with Cluster-Based Language Difference Models and Cynical Selection

Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)


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


Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing

A Survey on Self-Supervised Representation Learning

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE


Quality Control of Next Generation Sequencing Data

Rapid evaluation and quality control of next generation sequencing data with FaQCs

Multiple Cases of Bacterial Sequence Erroneously Incorporated Into Publicly Available Chloroplast Genomes

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada


Sparse Cooccurence Network Investigation for Compositional data

Dietary energy sources and levels shift the multi-kingdom microbiota and functions in the rumen of lactating dairy cows

Vaginal and Anal Microbiome during Chlamydia trachomatis Infections

Pre-weaning Ruminal Administration of Differentially-Enriched, Rumen-Derived Inocula Shaped Rumen Bacterial Communities and Co-occurrence Networks of Post-weaned Dairy Calves

Oral Microbiome Metabarcoding in Two Invasive Small Mammals from New Zealand

Systems analysis of gut microbiome influence on metabolic disease in HIV and high-risk populations


EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures

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

Fog Integrated Secured and Distributed Environment for Healthcare Industry with Software Defined Networking

Wasit Journal of Computer and Mathematics Science


Image-Process based Atmospheric River Tracking (IPART) algorithms

A Comparison of Northern Hemisphere Atmospheric Rivers Detected by a New Image-Processing Based Method and Magnitude-Thresholding Based Methods

Atmospheric rivers and associated extreme rainfall over Morocco

Detection of Atmospheric Rivers in the Northern Hemisphere based on ERA5 reanalysis data and the IPART algorithm, 1979-2020

Zenodo (CERN European Organization for Nuclear Research)


Basic programs for generating Slater-Koster files for the DFTB-method

XTANT-3: X-ray-induced Thermal And Nonthermal Transitions in matter: theory, numerical details, user manual

Hybrid functionals for periodic systems in the density functional tight-binding method

Phonon-induced band gap renormalization by dielectric dependent global
  hybrid density functional tight-binding


Code for comparison of multimodal VAE models

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models


PARTIE is a program to partition sequence read archive (SRA) metagenomics data into amplicon and shotgun data sets. The user-supplied annotations of the data sets can not be trusted, and so PARTIE allows automatic separation of the data.

HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes

TerrestrialMetagenomeDB: a public repository of curated and standardized metadata for terrestrial metagenomes

PARTIE: a partition engine to separate metagenomic and amplicon projects in the Sequence Read Archive

The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes

Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomics

Computational and structural biotechnology journal


RISC-V Supervisor Binary Interface (RISC-V SBI) implementation in Rust; runs on M-mode; good support for embedded Rust ecosystem


Julia implementation of EXPOKIT routines

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

Multi-Neutrino Entanglement and Correlations in Dense Neutrino Systems

QSWalk.jl: Julia package for quantum stochastic walks analysis

Quantum simulations of SO(5) many-fermion systems using qudits

Steps Toward Quantum Simulations of Hadronization and Energy-Loss in
  Dense Matter

Interacting quasiperiodic spin chains in the prethermal regime


A fork of the Systems Polynomial Optimization Toolbox.

DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization

TSSOS: A Moment-SOS hierarchy that exploits term sparsity

Chordal-TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity with Chordal Extension

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming

Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments

Walking with Confidence: Safety Regulation for Full Order Biped Models

Engineering and Business Applications of Sum of Squares Polynomials

Occupation measure methods for modelling and analysis of biological hybrid systems

Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation


fast library for ANN search and KNN graph construction

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings


Targetted language identifier, based on FastText and Hunspell.

A New Massive Multilingual Dataset for High-Performance Language
  Technologies

CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched
  with Linguistic and Genre Annotation


A header-only C++ library for L-BFGS and L-BFGS-B algorithms

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling

Consistent Point Orientation for Manifold Surfaces via Boundary Integration

Addressing the pooled amplification paradox with unique molecular identifiers in single-cell RNA-seq


Open source speech to text models for Indic Languages

CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

Vakyansh: ASR Toolkit for Low Resource Indic languages

Towards Building Text-To-Speech Systems for the Next Billion Users

Code Switched and Code Mixed Speech Recognition for Indic languages

indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages

Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition


[CVPR 2022 Oral] Official implementation of DN-DETR

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

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

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

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


Automated statistical and functional fine-mapping pipeline with extensive API access to datasets.

Genome-wide association study identi ﬁ es Sjögren ’ s risk loci with functional implications in immune and glandular cells

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

Genetic meta-analysis of levodopa induced dyskinesia in Parkinson’s disease

Genome-wide Analysis of Motor Progression in Parkinson Disease

Association of genetic variation at the GJA5/ACP6 locus with motor progression in Parkinson's


Detecting Regulatory Elements using GRO-seq and PRO-seq

Identification of regulatory elements from nascent transcription using dREG

A-MYB and BRDT-dependent RNA Polymerase II pause release orchestrates transcriptional regulation in mammalian meiosis

Quantifying RNA synthesis at rate-limiting steps of transcription using nascent RNA-sequencing data

A bi-stable feedback loop between GDNF, EGR1, and ERα contribute to endocrine resistant breast cancer


A free and fast perovskite solar cell simulator with coupled ion vacancy and charge carrier dynamics in one dimension. Read the Wiki to find out more, or see our website for more information!


The ideal tool for exploring global marine biogeochemical cycles.

GNOM v1.0: an optimized steady-state model of the modern marine neodymium cycle

AIBECS.jl: A tool for exploring global marine biogeochemical cycles.


Dust maps in the Milky Way

ON GALACTIC DENSITY MODELING IN THE PRESENCE OF DUST EXTINCTION

Weighing the stellar constituents of the galactic halo with APOGEE red giant stars

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

Stellar chromospheric activity of 1,674 FGK stars from the AMBRE-HARPS
  sample I. A catalogue of homogeneous chromospheric activity

Old, Metal-poor Extreme Velocity Stars in the Solar Neighborhood

A Gaia DR2 Mock Stellar Catalog

Publications of the Astronomical Society of the Pacific

The Splashback Radius of Planck SZ Clusters

A 'Quick Look' at All-Sky Galactic Archeology with TESS: 158,000 Oscillating Red Giants from the MIT Quick-Look Pipeline

The tale of the tail - disentangling the high transverse velocity stars in Gaia DR2

Prospects for Galactic and stellar astrophysics with asteroseismology of giant stars in the TESS continuous viewing zones and beyond


AMPtk: Amplicon ToolKit for NGS data (formally UFITS)

Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data

Antarctic Cryptoendolithic Fungal Communities Are Highly Adapted and Dominated by Lecanoromycetes and Dothideomycetes

Microbes and associated soluble and volatile chemicals on periodically wet household surfaces

A single test approach for accurate and sensitive detection and taxonomic characterization of Trypanosomes by comprehensive analysis of internal transcribed spacer 1 amplicons

Endolithic Fungal Species Markers for Harshest Conditions in the McMurdo Dry Valleys, Antarctica

Uncovered Microbial Diversity in Antarctic Cryptoendolithic Communities Sampling Three Representative Locations of the Victoria Land

Culture-Dependent and Amplicon Sequencing Approaches Reveal Diversity and Distribution of Black Fungi in Antarctic Cryptoendolithic Communities

Amplicon-Based Sequencing of Soil Fungi from Wood Preservative Test Sites

Amplicon Sequencing of Rock-Inhabiting Microbial Communities from Joshua Tree National Park, USA

Snow Surface Microbial Diversity at the Detection Limit within the Vicinity of the Concordia Station, Antarctica


deepMiner webminer proxy (update for cryptoNight R)

WebAssembly Diversification for Malware Evasion

Browser-based Crypto Mining and EU Data Protection and Privacy Law: A Critical Assessment and Possible Opportunities for the Monetisation of Web Services

The Journal of The British Blockchain Association

WASMixer: Binary Obfuscation for WebAssembly


A package for tree-based statistical estimation and inference using optimal decision trees.

Strong Optimal Classification Trees

Learning Optimal Prescriptive Trees from Observational Data

Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription


A sparse polynomial optimization tool based on the moment-SOS hierarchy.

Chordal-TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity with Chordal Extension

CS-TSSOS: Correlative and Term Sparsity for Large-Scale Polynomial Optimization

Sparse Polynomial Optimization: Theory and Practice

TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization

Exploiting Sparsity in Complex Polynomial Optimization

Certifying global optimality of AC-OPF solutions via sparse polynomial optimization

Benchmarking Large-Scale ACOPF Solutions and Optimality Bounds

A Correlatively Sparse Lagrange Multiplier Expression Relaxation for Polynomial Optimization

Fairness in Forecasting of Observations of Linear Dynamical Systems

A more efficient reformulation of complex SDP as real SDP


A family of diffusion models for text-to-audio generation.

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

Improving Text-To-Audio Models with Synthetic Captions

AudioComposer: Towards Fine-grained Audio Generation with Natural
  Language Descriptions


A Python package for generating concise, high-quality summaries of a probability distribution

Super-Samples from Kernel Herding

Generalized Kernel Thinning

Positively Weighted Kernel Quadrature via Subsampling

Distribution Compression in Near-linear Time

Compress Then Test: Powerful Kernel Testing in Near-linear Time

Kernel quadrature with randomly pivoted Cholesky

Resource-Aware Collaborative Monte Carlo Localization with Distribution
  Compression

Debiased Distribution Compression


Detection of filamentary structure in molecular clouds

Filament Identification through Mathematical Morphology

Filamentary Accretion Flows in the Infrared Dark Cloud G14.225–0.506 Revealed by ALMA

Dense gas kinematics and a narrow filament in the Orion A OMC1 region using NH_3

ALMA Observations of NGC 6334S. II. Subsonic and Transonic Narrow Filaments in a High-mass Star Formation Cloud

The straight and isolated G350.54+0.69 filament: density profile and star formation content

The Role of Filamentary Structures in the Formation of Two Dense Cores, L1544 and L694-2

A Search for Cloud Cores Affected by Shocked Carbon Chain Chemistry in L1251

Sequential star formation in the filamentary structures of the Planck Galactic cold clump G181.84+0.31

ALMA Uncovers Highly Filamentary Structure toward the Sgr E Region

The Giant Molecular Cloud G148.24+00.41: Gas Properties, Kinematics, and Cluster Formation at the Nexus of Filamentary Flows


Distributed NMF/NTF Library

Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform

Advanced structural and chemical imaging

MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization

Fast and Secure Distributed Nonnegative Matrix Factorization

IEEE Transactions on Knowledge and Data Engineering

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints

PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization


An ultra-fast equilibrium chemistry

FastChem: A computer program for efficient complex chemical equilibrium calculations in the neutral/ionized gas phase with applications to stellar and planetary atmospheres

Monthly notices of the Royal Astronomical Society

The Peculiar Atmospheric Chemistry of KELT-9b

Non-local thermodynamic equilibrium effects determine the upper atmospheric temperature structure of the ultra-hot Jupiter KELT-9b

Vanadium oxide and a sharp onset of cold-trapping on a giant exoplanet

K2 and Spitzer phase curves of the rocky ultra-short-period planet K2-141 b hint at a tenuous rock vapor atmosphere

FastChem 2: An improved computer program to determine the gas-phase
  chemical equilibrium composition for arbitrary element distributions

Observability of evaporating lava worlds

Reduced Atmospheres of Post-impact Worlds: The Early Earth

Atmospheric compositions and observability of nitrogen-dominated ultra-short-period super-Earths

The Mantis network


Segmental Duplication Assembler (SDA).

HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads

Long-read sequence and assembly of segmental duplications

De novo assembly of human genome at single-cell levels


AirDialogue: An Environment for Goal-Oriented Dialogue Research

Empirical Methods in Natural Language Processing

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval


A modular framework for Visual Question Answering research by the FAIR A-STAR team

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

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

VisualMRC: Machine Reading Comprehension on Document Images


DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

Differentiable Bayesian Structure Learning with Acyclicity Assurance


MarginPolish: Graph based assembly polishing

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

Automated strain separation in low-complexity metagenomes using long reads

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

Assembling Quality Genomes of Flax Fungal Pathogens from Oxford Nanopore Technologies Data


A toolbox for solving phase factors in Quantum signal processing.

Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

Ground-State Preparation and Energy Estimation on Early Fault-Tolerant Quantum Computers via Quantum Eigenvalue Transformation of Unitary Matrices

Efficient phase-factor evaluation in quantum signal processing

Lecture Notes on Quantum Algorithms for Scientific Computation

Time-marching based quantum solvers for time-dependent linear differential equations

Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark

Quantum algorithms from fluctuation theorems: Thermal-state preparation

Quantum signal processing for simulating cold plasma waves

Robust iterative method for symmetric quantum signal processing in all parameter regimes

Nearly optimal state preparation for quantum simulations of lattice gauge theories


Tutorials and implementations for "Self-normalizing networks"

Self-Normalizing Neural Networks

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings

Robust Implicit Backpropagation

Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion


Directory of Fortran codes on GitHub, arranged by topic

Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model

The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century

PRIDE PPP-AR: an open-source software for GPS PPP ambiguity resolution

A strategy for automated analysis of passive microseismic data to image seismic anisotropy and fracture characteristics

The spatial extent of rainfall events and its relation to precipitation scaling

Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization

Measuring the Level and Uncertainty of Trend Inflation

Paleo calendar-effect adjustments in time-slice and transient climate-model simulations (PaleoCalAdjust v1.0): impact and strategies for data analysis

Separating the Impact of Individual Land Surface Properties on the Terrestrial Surface Energy Budget in both the Coupled and Uncoupled Land–Atmosphere System

Adjoint‐State Traveltime Tomography: Eikonal Equation‐Based Methods and Application to the Anza Area in Southern California

Journal of Geophysical Research: Solid Earth


Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech

Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems

End-to-End Code-Switching ASR for Low-Resourced Language Pairs

Semi-supervised acoustic model training for speech with code-switching

Learning from past mistakes: improving automatic speech recognition output via noisy-clean phrase context modeling

APSIPA Transactions on Signal and Information Processing

Interactive Abstractive Summarization for Event News Tweets

Language Models Explain Word Reading Times Better Than Empirical Predictability

Design and Structure of The Juman++ Morphological Analyzer Toolkit

Multi-Graph Decoding for Code-Switching ASR

Chinese Preposition Selection for Grammatical Error Diagnosis

International Conference on Computational Linguistics


A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)

SIGCOMM '21: PROCEEDINGS OF THE 2021 ACM SIGCOMM 2021 CONFERENCE

Revisiting Cellular Throughput Prediction over the Edge: Collaborative Multi-device, Multi-network in-situ Learning


Creative Commons Attribution Share Alike 4.0 International

Korean NLU Benchmark

KLUE: Korean Language Understanding Evaluation

K-EPIC: Entity-Perceived Context Representation in Korean Relation Extraction

A Survey on Awesome Korean NLP Datasets

Explainable Product Classification for Customs

Domain Word Extension Using Curriculum Learning


Frame Semantic Parser based on T5 and FrameNet

Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold

Open-Domain Frame Semantic Parsing Using Transformers

Open-source Frame Semantic Parsing


Channel State Information Extraction on Various Broadcom Wi-Fi Chips

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi

Human Activity Recognition Using CSI Information with Nexmon

Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

Next2You: Robust Copresence Detection Based on Channel State Information


A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Integrated immune dynamics define correlates of COVID-19 severity and antibody responses

Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre

High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease

Circulating effector γδ T cell populations are associated with acute coronavirus disease 19 in unvaccinated individuals

Suppression of neutrophils by sodium exacerbates oxidative stress and arthritis

Neutrophil Extracellular Traps Drive Dacryolithiasis

Influence of bariatric surgery on the peripheral blood immune system of female patients with morbid obesity revealed by high-dimensional mass cytometry

Immune responses in COVID-19 respiratory tract and blood reveal mechanisms of disease severity


cDNA read preprocessing

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

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

Improved Nanopore full-length cDNA sequencing by PCR-suppression

Uncovering bacterial hosts of class 1 integrons in an urban coastal aquatic environment with a single-cell fusion-polymerase chain reaction technology

Uncovering the temporal dynamics and regulatory networks of thermal stress response in a hyperthermophile using transcriptomics and proteomics

Long-read sequencing-based transcriptomic landscape in longissimus dorsi and transcriptome-wide association studies for growth traits of meat rabbits

Leptospira transcriptome sequencing using long-read technology reveals unannotated transcripts and potential polyadenylation of RNA molecules

Chromosome-level genome assembly of Odontothrips loti Haliday (Thysanoptera: Thripidae)


A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.

Water Sites, Networks, And Free Energies with Grand Canonical Monte Carlo

Journal of the American Chemical Society

Replica-Exchange and Standard State Binding Free Energies with Grand Canonical Monte Carlo

Journal of chemical theory and computation

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques

grand: A Python Module for Grand Canonical Water Sampling in OpenMM

Journal of chemical information and modeling


The Common Evaluation Platform (CEP), based on UCB's Chipyard Framework,  is an SoC design that contains only license-unencumbered, freely available components.

ASSURE: RTL Locking Against an Untrusted Foundry

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

A Modern Approach to IP Protection and Trojan Prevention: Split Manufacturing for 3D ICs and Obfuscation of Vertical Interconnects

IEEE Transactions on Emerging Topics in Computing

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning

DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection

A practical application of game theory to optimize selection of hardware Trojan detection strategies

Journal of Hardware and Systems Security

A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists

T-TER: Defeating A2 Trojans with Targeted Tamper-Evident Routing

An Extensible Framework for Quantifying the Coverage of Defenses Against Untrusted Foundries

FuncTeller: How Well Does eFPGA Hide Functionality?


Eradiate: a next-generation radiative transfer model for Earth observation applications


Quantification of transposable element expression using RNA-seq

Telescope: Characterization of the retrotranscriptome by accurate estimation of transposable element expression

Locus-specific expression analysis of transposable elements

Implications of Antigen Selection on T Cell-Based Immunotherapy

Schizophrenia risk from locus-specific human endogenous retroviruses


BP+OSD: Belief propagation with ordered statistics post-processing for decoding quantum LDPC codes

Decoding across the quantum low-density parity-check code landscape

Bias-tailored quantum LDPC codes

Belief propagation as a partial decoder


CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

CIDEr-R: Robust Consensus-based Image Description Evaluation

Analysis of diversity-accuracy tradeoff in image captioning

Goal-driven text descriptions for images


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.

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

Importance Nested Sampling and the MultiNest Algorithm

Retrieving scattering clouds and disequilibrium chemistry in the atmosphere of HR 8799e

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

NEOMOD: A New Orbital Distribution Model for Near-Earth Objects

Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey

Weighing cosmic structures with clusters of galaxies and the intergalactic medium

Monthly Notices of the Royal Astronomical Society

The bacco simulation project: bacco hybrid Lagrangian bias expansion model in redshift space

Geminga SNR: Possible Candidate of the Local Cosmic-Ray Factory


Creative Commons Attribution 4.0 International

Systematic dataset of US sub-national Covid-19 policy data

Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022

Pandemic Policymaking in Presidential Federations: Explaining Subnational Responses to Covid-19 in Brazil, Mexico, and the United States

Direct and indirect mortality impacts of the COVID-19 pandemic in the US, March 2020-April 2021

medRxiv : the preprint server for health sciences

A Case Study of Family Violence During COVID-19 in San Antonio

The Impact of School Opening Model on SARS-CoV-2 Community Incidence and Mortality: A Nationwide Cohort Study


PHANOTATE: a tool to annotate phage genomes.

PHANOTATE: a novel approach to gene identification in phage genomes

A Method for Improving the Accuracy and Efficiency of Bacteriophage Genome Annotation

International journal of molecular sciences

THEA: A novel approach to gene identification in phage genomes


Align proteins to genomes with splicing and frameshift

Protein-to-genome alignment with miniprot

A Chromosome-length Assembly of the Black Petaltail (Tanypteryx hageni) Dragonfly


The Munich Open-Source Large-Scale Multimedia Feature Extractor

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

The voice of COVID-19: Acoustic correlates of infection

The Journal of the Acoustical Society of America

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations

A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech

Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results

A Voice-Based Biomarker for Monitoring Symptom Resolution in Adults with COVID-19: Findings from the Prospective Predi-COVID Cohort Study


A deep learning framework for symbolic optimization.

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Interpretable Scientific Discovery with Symbolic Regression: A Review

Language Model Crossover: Variation through Few-Shot Prompting

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Improving exploration in policy gradient search: Application to symbolic optimization

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks


Implementation of the Wave-U-Net for audio source separation

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

End-to-end music source separation: is it possible in the waveform domain?

UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-Noise Ratio Condition

End-to-End Sound Source Separation Conditioned On Instrument Labels

Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation

Genre-Conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music

Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents

Integrating Dilated Convolution into DenseLSTM for Audio Source Separation


Best-fit model selection

ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models

Adaptations of Alteromonas sp. 76-1 to Polysaccharide Degradation: A CAZyme Plasmid for Ulvan Degradation and Two Alginolytic Systems

Geography Shapes the Population Genomics of Salmonella enterica Dublin

Colletotrichum shisoi sp. nov., an anthracnose pathogen of Perilla frutescens in Japan: molecular phylogenetic, morphological and genomic evidence

Population Genomic Analysis of Mycoplasma bovis Elucidates Geographical Variations and Genes associated with Host-Types

A parasitic fungus employs mutated eIF4A to survive on rocaglate-synthesizing Aglaia plants

A Recurrent Motif: Diversity and Evolution of ShKT Domain Containing Proteins in the Vampire Snail Cumia reticulata

An unusual case of bovine anthrax in the canton of Jura, Switzerland in 2017

Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis

Conservation analysis of core cell cycle regulators and their transcriptional behavior during limb regeneration in Ambystoma mexicanum


MeetEval - A meeting transcription evaluation toolkit

On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems

MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems

SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition

Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization


Tools for analyzing aerial point clouds of forest data.


Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation

LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond

Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings

LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)

Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation

Decomposing Word Embedding with the Capsule Network

Can Word Sense Distribution Detect Semantic Changes of Words?

Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings

On the Curious Case of ℓ_2 norm of Sense Embeddings

Definition generation for lexical semantic change detection


SummEval: Re-evaluating Summarization Evaluation

Fill in the BLANC: Human-free quality estimation of document summaries

Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation

Is human scoring the best criteria for summary evaluation?

Sensitivity of BLANC to human-scored qualities of text summaries

OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization

ESTIME: Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings

Neural Embeddings for Text

Does Summary Evaluation Survive Translation to Other Languages?

Towards Human-Free Automatic Quality Evaluation of German Summarization


allRank is a framework for training learning-to-rank neural models based on PyTorch.

VD-BERT: A Unified Vision and Dialog Transformer with BERT

NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence

Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention

Learned Causal Method Prediction


Will Big Data Close the Missing Heritability Gap?

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package

Obesity, adipokines, and C-peptide are associated with distinct plasma phospholipid profiles in adult males, an untargeted lipidomic approach

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials

Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep

Bayesian multitrait kernel methods improve multienvironment genome-based prediction

Multi‐trait genomic selection improves the prediction accuracy of end‐use quality traits in hard winter wheat


HotNet2 is an algorithm for finding significantly altered subnetworks in a large gene interaction network

Integrative epigenetic taxonomy of primary prostate cancer

Gene and Network Analysis of Common Variants Reveals Novel Associations in Multiple Complex Diseases

Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach

Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer

Biological networks and GWAS: comparing and combining network methods to understand the genetics of familial breast cancer susceptibility in the GENESIS study


A Tool for clone detection and bug detection in smart contracts

Checking Smart Contracts With Structural Code Embedding

IEEE Transactions on Software Engineering

SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding

International Conference on Software Maintenance

When Deep Learning Meets Smart Contracts

International Conference on Automated Software Engineering


A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling


UDPipe: Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U files

Twitter Universal Dependency Parsing for African-American and Mainstream American English

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

Empirical Linguistic Study of Sentence Embeddings

Meeting of the Association for Computational Linguistics

One format to rule them all – The emtsv pipeline for Hungarian

Part of Speech Tagging: Shallow or Deep Learning?

Northern European Journal of Language Technology

Slavic Forest, Norwegian Wood

Workshop on NLP for Similar Languages, Varieties and Dialects

Universal Dependencies for Manx Gaelic

Cross-Lingual Adaptation Using Universal Dependencies

Slavic Forest, Norwegian Wood (scripts)

Comparison of Current Approaches to Lemmatization: A Case Study in Estonian


Git repository for FASTA36 sequence comparison software

Query-seeded iterative sequence similarity searching improves selectivity 5–20-fold

Comment on “Conserved phylogenetic distribution and limited antibiotic resistance of class 1 integrons revealed by assessing the bacterial genome and plasmid collection” by A.N. Zhang et al.

Ramosin: The First Antibacterial Peptide Identified on Bolitoglossa ramosi Colombian Salamander

GenomeBits insight into omicron and delta variants of coronavirus pathogen

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy


ENCODE Uniform processing pipeline for ChIP-seq

An atlas of dynamic chromatin landscapes in mouse fetal development

MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments

Highly structured homolog pairing reflects functional organization of the Drosophila genome

The genome-wide multi-layered architecture of chromosome pairing in early Drosophila embryos

Systematic mapping of chromatin state landscapes during mouse development

Foxc1 establishes enhancer accessibility for craniofacial cartilage differentiation

Condensin II inactivation in interphase does not affect chromatin folding or gene expression

Glucocorticoid receptor collaborates with pioneer factors and AP-1 to execute genome-wide regulation

Characterizing and Targeting Genes Regulated by Transcription Factor MYBL2 in Lung Adenocarcinoma Cells


CaDiCaL SAT Solver

The Resolution of Keller's Conjecture

Explaining Wrong Queries Using Small Examples

Clause Size Reduction with all-UIP Learning

Theory and Applications of Satisfiability Testing

CVC4 at the SMT Competition 2018

Tighter Bounds on Directed Ramsey Number R(7)

Proceedings of the 2022 XCSP3 Competition

Schur's theorem in integer lattices

Comparison of SAT-based and ASP-based Algorithms for Inconsistency Measurement

Towards the shortest DRAT proof of the Pigeonhole Principle

No eleventh conditional Ingleton inequality


CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.

Bidirectional Long Short-Term Memory Network with a Conditional Random Field Layer for Uyghur Part-Of-Speech Tagging

Urdu Word Segmentation using Machine Learning Approaches

International Journal of Advanced Computer Science and Applications

A Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity Recognition

Family Matters: Company Relations Extraction from Wikipedia

KNOWLEDGE ENGINEERING AND SEMANTIC WEB, KESW 2016


SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

Deep Learning on Mobile Devices - A Review

Accelerator-Aware Pruning for Convolutional Neural Networks

IEEE Transactions on Circuits and Systems for Video Technology

Zero-Shot Deep Domain Adaptation

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale


A script to run structural alerts using the RDKit and ChEMBL

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Improving black-box optimization in VAE latent space using decoder uncertainty

Retrieval-based Controllable Molecule Generation


pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

A Lexicon-Based Graph Neural Network for Chinese NER

Empirical Methods in Natural Language Processing

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Microsoft Research Asia's Systems for WMT19

NE–LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition

A study of the impact of COVID‐19 on the Chinese stock market based on a new textual multiple ARMA model

Kingsoft’s Neural Machine Translation System for WMT19

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

Less is Better: A cognitively inspired unsupervised model for language segmentation

Workshop on Cognitive Aspects of the Lexicon

近十年来澳门的词汇增长(Macau’s Vocabulary Growth in the Recent Ten Year)

China National Conference on Chinese Computational Linguistics

Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme Conversion


End-to-end learning of deep visual representations for image retrieval

Fine-tuning CNN Image Retrieval with No Human Annotation

Particular object retrieval with integral max-pooling of CNN activations

End-to-end Learning of Deep Visual Representations for Image Retrieval

Learning with Average Precision: Training Image Retrieval with a Listwise Loss

Robust and Decomposable Average Precision for Image Retrieval

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision

TLDR: Twin Learning for Dimensionality Reduction

Evaluating Contrastive Models for Instance-based Image Retrieval

PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR '21)

Learnable Pillar-based Re-ranking for Image-Text Retrieval

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

iQPP: A Benchmark for Image Query Performance Prediction


Data on CO2 and greenhouse gas emissions by Our World in Data

Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study

International journal of environmental research and public health

Economic Activities and Management Issues for the Environment: An Environmental Kuznets Curve (EKC) and STIRPAT Analysis in Turkey

CO2 emissions of nuclear power and renewable energies: a statistical analysis of European and global data

Practical Vitality of Green Bonds and Economic Benefits

Review of business and economics studies

Cluster-Specific Predictions with Multi-Task Gaussian Processes

Multilevel intergroup conflict at the core of climate (in)justice: Psychological challenges and ways forward

Wiley Interdisciplinary Reviews Climate Change


Chainer implementation of recent GAN variants

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

A Large-Scale Study on Regularization and Normalization in GANs

The Unusual Effectiveness of Averaging in GAN Training

The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

JR-GAN: Jacobian Regularization for Generative Adversarial Networks.

Organization of a Latent Space structure in VAE/GAN trained by navigation data

Selecting the Best in GANs Family: a Post Selection Inference Framework

Pairwise Augmented GANs with Adversarial Reconstruction Loss


[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

True Few-Shot Learning with Language Models


A script that applies the AdaIN style transfer method to arbitrary datasets

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation

Improving Object Detection in Art Images Using Only Style Transfer

A Too-Good-to-be-True Prior to Reduce Shortcut Reliance

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

Enhancing the Robustness of Visual Object Tracking via Style Transfer

Computers, materials & continua/Computers, materials & continua (Print)

Towards generalization for Caenorhabditis elegans detection

Computational and structural biotechnology journal


PubLayNet: largest dataset ever for document layout analysis

ICDAR 2021 Competition on Scientific Literature Parsing

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

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

Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction


TOGA (Tool to infer Orthologs from Genome Alignments): implements a novel paradigm to infer orthologous genes. TOGA integrates gene annotation, inferring orthologs and classifying genes as intact or lost.

Towards complete and error-free genome assemblies of all vertebrate species

Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms

Contradictory Phylogenetic Signals in the Laurasiatheria Anomaly Zone

The pale spear‐nosed bat: A neuromolecular and transgenic model for vocal learning

Annals of the New York Academy of Sciences

A haplotype-resolved reference genome of a long-distance migratory bat, Pipistrellus nathusii (Keyserling & Blasius, 1839)


Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

De-identification of Patient Notes with Recurrent Neural Networks

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Transfer Learning for Named-Entity Recognition with Neural Networks

BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset

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

Improving Topic Quality by Promoting Named Entities in Topic Modeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

Location reference recognition from texts: A survey and comparison

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

A Deeper Look into Dependency-Based Word Embeddings

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation


Progressive Growing of GANs for Improved Quality, Stability, and Variation

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Unmasking DeepFakes with simple Features

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


A volumetric object-level semantic mapping framework.

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

International Conference on Robotics and Automation

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM

Modelify: An approach to incrementally build 3D object models for map completion

The International Journal of Robotics Research


a Realistic and Rich 3D Environment

Semantic Scene Completion from a Single Depth Image

Embodied Question Answering

Synthetic Data for Deep Learning

TarMAC: Targeted Multi-Agent Communication

Building Generalizable Agents with a Realistic and Rich 3D Environment

Neural Modular Control for Embodied Question Answering

Vision-language navigation: a survey and taxonomy


Segtok v2 is here: https://github.com/fnl/syntok -- A rule-based sentence segmenter (splitter) and a word tokenizer using orthographic features.

Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions

CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing

A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

BELHD: improving biomedical entity linking with homonym disambiguation


Beta release of Masstree.

An analysis of concurrency control protocols for in-memory databases with CCBench

CoroBase: Coroutine-Oriented Main-Memory Database Engine

PI : a Parallel in-memory skip list based Index

Scheduling Space Expander: An Extension of Concurrency Control for Data Ingestion Queries


Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition

More Embeddings, Better Sequence Labelers?


This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"

Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild

Proceedings of the 30th ACM International Conference on Multimedia

On the Audio-visual Synchronization for Lip-to-Speech Synthesis


This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos

IEEE transactions on pattern analysis and machine intelligence

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Video Anomaly Detection for Smart Surveillance

Vision-Based Traffic Accident Detection and Anticipation: A Survey


A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Prediction-Powered Inference

PPI++: Efficient Prediction-Powered Inference

Cross-Prediction-Powered Inference

AutoEval Done Right: Using Synthetic Data for Model Evaluation

A Note on the Prediction-Powered Bootstrap


An R package for data analysis in microbial community ecology

microeco: an R package for data mining in microbial community ecology

Patterns and Drivers of nirK-Type and nirS-Type Denitrifier Community Assembly along an Elevation Gradient

Transfer of Human Microbiome to Drosophila Gut Model

Effects of Different Farming Modes on Salmo trutta fario Growth and Intestinal Microbial Community


Python learning to rank (LTR) toolkit

Snakes on a Spaceship—An Overview of Python in Heliophysics

Journal of Geophysical Research: Space Physics

Modeling the Relationship between User Comments and Edits in Document Revision

Empirical Methods in Natural Language Processing

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes

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

Author-topic profiles for academic search


[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

GANs Can Play Lottery Tickets Too

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Assisting the Adversary to Improve GAN Training


A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Enhanced LSTM for Natural Language Inference

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

Annotation Artifacts in Natural Language Inference Data

OCNLI: Original Chinese Natural Language Inference

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

Semantic Matching Against a Corpus: New Applications and Methods


This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

High-Fidelity Audio Compression with Improved RVQGAN

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Pheme: Efficient and Conversational Speech Generation

Language-Codec: Reducing the Gaps Between Discrete Codec Representation
  and Speech Language Models

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

DASB -- Discrete Audio and Speech Benchmark

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio
  Language Model


A python package for benchmarking interpretability techniques on Transformers.

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

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

Discretized Integrated Gradients for Explaining Language Models

ferret: a Framework for Benchmarking Explainers on Transformers


中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

CLUE: A Chinese Language Understanding Evaluation Benchmark

HuatuoGPT, towards Taming Language Model to Be a Doctor

General and Domain-adaptive Chinese Spelling Check with Error-consistent Pretraining


The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Structured Attention Composition for Temporal Action Localization

Frequency Selective Augmentation for Video Representation Learning

Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning


dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.

Libri-Light: A Benchmark for ASR with Limited or No Supervision

International Conference on Acoustics, Speech, and Signal Processing

MLS: A Large-Scale Multilingual Dataset for Speech Research

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

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

SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training

Utilizing Self-supervised Representations for MOS Prediction

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

Large-Scale Self- and Semi-Supervised Learning for Speech Translation

Libriheavy: A 50,000 Hours ASR Corpus with Punctuation Casing and Context

Magic Dust for Cross-Lingual Adaptation of Monolingual Wav2vec-2.0

Improving Continuous Sign Language Recognition with Cross-Lingual Signs


Matlab and Python toolbox for fast Total Variation proximity operators

Modular proximal optimization for multidimensional total-variation regularization

A Plug-and-Play Deep Image Prior

A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices

Total Variation Optimization Layers for Computer Vision

Learning to solve TV regularised problems with unrolled algorithms

A unified analysis of convex and non-convex lp-ball projection problems


A deep learning toolkit for log-based anomaly detection

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Robust log-based anomaly detection on unstable log data

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

Leveraging Log Instructions in Log-based Anomaly Detection

LogAI: A Library for Log Analytics and Intelligence


Graph Embedding Evaluation / Code and Datasets for  "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"  (Bioinformatics 2020)

Graph embedding on biomedical networks: methods, applications and evaluations

Building the graph of medicine from millions of clinical narratives

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Extracting functional insights from loss-of-function screens using deep link prediction


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

StyleGAN2 Distillation for Feed-forward Image Manipulation

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

Face Identity Disentanglement via Latent Space Mapping

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Time-Travel Rephotography

Disentangling in Latent Space by Harnessing a Pretrained Generator.

Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability


Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection


alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

Efficient Neural Network Robustness Certification with General Activation Functions

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results


High level network definitions with pre-trained weights in TensorFlow

Protection Against Reconstruction and Its Applications in Private Federated Learning

Robust Learning from Untrusted Sources

KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications

KS(conf): A Light-Weight Test if a Multiclass Classifier Operates Outside of Its Specifications

International journal of computer vision

Vehicle Counting using Deep Learning Models: A Comparative Study

International Journal of Advanced Computer Science and Applications


Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?

Can AI reproduce observed chemical diversity?


Random Network Distillation pytorch

Proximal Policy Optimization Algorithms

Exploration by Random Network Distillation

Efficient Parallel Methods for Deep Reinforcement Learning

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Explore and Control with Adversarial Surprise

Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration

Beyond Surprise: Improving Exploration Through Surprise Novelty


Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link, direct download and more!

Domain-Adversarial Training of Neural Networks

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

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation


A Python wrapper for the ROUGE summarization evaluation package

Extractive Opinion Summarization in Quantized Transformer Spaces

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

Contrastive Aligned Joint Learning for Multilingual Summarization

Meeting of the Association for Computational Linguistics

Towards Content Transfer through Grounded Text Generation

GenCompareSum: a hybrid unsupervised summarization method using salience

Workshop on Biomedical Natural Language Processing

Evaluating the Efficacy of Summarization Evaluation across Languages


A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Learning Private Neural Language Modeling with Attentive Aggregation

International Joint Conference on Neural Network

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

Federated Learning for Personalized Humor Recognition


OpenMMLab Detection Toolbox and Benchmark

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

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

YOLOv3: An Incremental Improvement

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

End-to-End Object Detection with Transformers

Momentum Contrast for Unsupervised Visual Representation Learning

Path Aggregation Network for Instance Segmentation


R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

A single-cell atlas of the human healthy airways

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans

A spatial multi-omics atlas of the human lung reveals a novel immune cell survival niche

Selective vulnerability of layer 5a corticostriatal neurons in Huntington’s disease

bioRxiv : the preprint server for biology

Combined lineage tracing and scRNA-seq reveals unexpected first heart field predominance of human iPSC differentiation

Effects of hyperinsulinemia on pancreatic cancer development and the immune microenvironment revealed through single-cell transcriptomics

Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need


Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service. AWSM was designed to streamline the workflow used to forecast the water supply of multiple water basins.


Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

Designing an Encoder for StyleGAN Image Manipulation

Towards IID representation learning and its application on biomedical data

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment