Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Searching for MobileNetV3

MnasNet: Platform-Aware Neural Architecture Search for Mobile

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

MixConv: Mixed Depthwise Convolutional Kernels

If your data distribution shifts, use self-learning


Embodied Question Answering

Building Generalizable Agents with a Realistic and Rich 3D Environment

Neural Modular Control for Embodied Question Answering


Unbiased Learning To Rank Algorithms (ULTRA)

Multileave Gradient Descent for Fast Online Learning to Rank

Unbiased Learning to Rank: Online or Offline?

Efficient Exploration of Gradient Space for Online Learning to Rank

A Large Scale Search Dataset for Unbiased Learning to Rank

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

Model-based Unbiased Learning to Rank

The Role of Relevance in Fair Ranking

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

Whole Page Unbiased Learning to Rank

CIR at the NTCIR-17 ULTRE-2 Task


An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Evaluation of deep learning‐based artificial intelligence techniques for breast cancer detection on mammograms: Results from a retrospective study using a BreastScreen Victoria dataset

Journal of medical imaging and radiation oncology

Differences between human and machine perception in medical diagnosis

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Meta-repository of screening mammography classifiers


R package for spatial analysis and modelling of ecological systems

Siberian taiga and tundra fire regimes from 2001–2020

Satellite Tracking Reveals Nesting Patterns, Site Fidelity, and Potential Impacts of Warming on Major Green Turtle Rookeries in the Red Sea

Geographic patterns of genomic diversity and structure in the C4 grass Panicum hallii across its natural distribution

An Orchid in Retrograde: Climate-Driven Range Shift Patterns of Ophrys helenae in Greece

Identification of the Optimal Season and Spectral Regions for Shrub Cover Estimation in Grasslands

Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with Machine Learning

Potential distribution of invasive boxwood blight pathogen (Calonectria pseudonaviculata) as predicted by process-based and correlative models

Zenodo (CERN European Organization for Nuclear Research)

Distribution of Charophyte Oospores in the Curonian Lagoon and their Relationship to Environmental Forcing

Megafaunal extinctions, not climate change, may explain Holocene genetic diversity declines in Numenius shorebirds

Behavioral responses of Canada geese to winter harassment in the context of human‐wildlife conflicts


PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization

PyXAB – A Python Library for ��-Armed Bandit and Online Blackbox Optimization Algorithms

Federated X-Armed Bandit

Personalized Federated X -armed Bandit


Causal Neural Nerwork

CUTS: Neural Causal Discovery from Irregular Time-Series Data

CUTS+: High-dimensional Causal Discovery from Irregular Time-series

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

Neural Structure Learning with Stochastic Differential Equations

Ultra-efficient Causal Learning for Dynamic CSA-AKI Detection Using Minimal Variables


Regional Earth System Model

Modelling the Caspian Sea and its catchment area using a coupled regional atmosphere-ocean model (RegCM4-ROMS): model design and preliminary results

Validation of newly designed regional earth system model (RegESM) for Mediterranean Basin

Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1

The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region

Towards in-situ visualization integrated earth system models: RegESM 1.1 regional modelling system

A new approach for in situ analysis in fully coupled earth system models

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization


This repository contains a code to infer distances to stellar clusters and its stars from  Gaia parallaxes.

A rich population of free-floating planets in the Upper Scorpius young stellar association

Lupus DANCe. Census of stars and 6D structure with Gaia-DR2 data

Ruprecht 147 DANCe I. Members, empirical isochrone, luminosity and mass distributions

Chamaeleon DANCe: Revisiting the stellar populations of Chamaeleon I and Chamaeleon II with Gaia-DR2 data

Distances to Nearby Molecular Clouds Traced by Young Stars

ALMA observations of the early stages of substellar formation in the Lupus 1 and 3 molecular clouds

An analysis of the most distant catalogued open clusters – Re-assessing
  fundamental parameters with Gaia EDR3 and

Searching for debris discs in the 30 Myr open cluster IC 4665

The cosmic waltz of Coma Berenices and Latyshev 2 (Group X). Membership, phase-space structure, mass, and energy distributions


Parity and time-reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks

pystablemotifs: Python library for attractor identification and control in Boolean networks

Global stabilizing control of large-scale biomolecular regulatory networks

Phenotype Control techniques for Boolean gene regulatory networks

bioRxiv : the preprint server for biology

Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model


Benchmarking DNA Language Models on Biologically Meaningful Tasks

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

BEND: Benchmarking DNA Language Models on biologically meaningful tasks


Extremely simple and fast extreme multi-class and multi-label classifiers.

Efficient Set-Valued Prediction in Multi-Class Classification

Probabilistic Label Trees for Extreme Multi-label Classification

Online probabilistic label trees

Propensity-scored Probabilistic Label Trees

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


scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication

deCS: A Tool for Systematic Cell Type Annotations of Single-cell RNA Sequencing Data among Human Tissues

基因组蛋白质组与生物信息学报

Multiomics analysis reveals metabolic subtypes and identifies diacylglycerol kinase α (DGKA) as a potential therapeutic target for intrahepatic cholangiocarcinoma

Single-cell RNA-seq uncovers distinct pathways and genes in endothelial cells during atherosclerosis progression


viralVerify: viral contig verification tool

Metaviral SPAdes: assembly of viruses from metagenomic data

Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types

Host interactions of novel Crassvirales species belonging to multiple families infecting bacterial host, Bacteroides cellulosilyticus WH2

Genome sequencing provides new insights on the distribution of Erwinia amylovora lineages in northern Italy

Insights into the ecology of the infant gut plasmidome


GPU-Accelerated Radiative Transfer Code For Exoplanetary Atmospheres

HELIOS: AN OPEN-SOURCE, GPU-ACCELERATED RADIATIVE TRANSFER CODE FOR SELF-CONSISTENT EXOPLANETARY ATMOSPHERES

Self-luminous and Irradiated Exoplanetary Atmospheres Explored with HELIOS

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

A reflective, metal-rich atmosphere for GJ 1214b from its JWST phase curve

The atmosphere of HD 209458b seen with ESPRESSO

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

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

Analyzing Atmospheric Temperature Profiles and Spectra of M Dwarf Rocky Planets

Observability of evaporating lava worlds


Primer3 is a command line tool to select primers for polymerase chain reaction (PCR).

Primer3_masker: integrating masking of template sequence with primer design software

TinoTranscriptDB: A Database of Transcripts and Microsatellite Markers of Tinospora cordifolia, an Important Medicinal Plant

A novel transposable element-based authentication protocol for Drosophila cell lines

De Novo Transcriptome Profiling for the Generation and Validation of Microsatellite Markers, Transcription Factors, and Database Development for Andrographis paniculata

International journal of molecular sciences

Genome-Wide DNA Polymorphism Analysis and Molecular Marker Development for the Setaria italica Variety “SSR41” and Positional Cloning of the Setaria White Leaf Sheath Gene SiWLS1

Genome Assembly and Microsatellite Marker Development Using Illumina and PacBio Sequencing in the Carex pumila (Cyperaceae) from Korea

De novo transcriptome assembly using Illumina sequencing and development of EST-SSR markers in a monoecious herb Sagittaria trifolia Linn


Scientific journal and sci-fi themed color palettes for ggplot2

Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials

PCR Assay for Rapid Taxonomic Differentiation of Virulent Staphylococcus aureus and Klebsiella pneumoniae Bacteriophages

BioLadder: A bioinformatic platform primarily focused on proteomic data analysis

Synergistic effect of short- and long-read sequencing on functional meta-omics


Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"

Zoology: Measuring and Improving Recall in Efficient Language Models

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning
  Tasks

Repeat After Me: Transformers are Better than State Space Models at
  Copying

Just read twice: closing the recall gap for recurrent language models


Hands-On Image Generation with TensorFlow 2.0, published by Packt

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Self-Attention Generative Adversarial Networks

Semantic Image Synthesis with Spatially-Adaptive Normalization

A Neural Algorithm of Artistic Style

Toward Multimodal Image-to-Image Translation


Firmware for Open EVSE


Python package for data handling and scenario generation of city districts

Automated urban energy system modeling and thermal building simulation based on OpenStreetMap data sets

Modellierung und Optimierung von Mischgebieten


Bidirectional Attention Flow for Machine Comprehension

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems

Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization


37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Communication-Efficient Learning of Deep Networks from Decentralized Data

Convolutional Neural Networks for Sentence Classification

Bag of Tricks for Efficient Text Classification

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Federated Multi-Task Learning

Personalized Federated Learning: A Meta-Learning Approach

Model-Contrastive Federated Learning

Personalized Federated Learning with Moreau Envelopes

Ditto: Fair and Robust Federated Learning Through Personalization

Federated Learning with Personalization Layers


Tools and Modeling Code for the MASSIVE dataset

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond


A robust and fast clustering method for amplicon-based studies

Swarm v3: towards tera-scale amplicon clustering

Plant genetic effects on microbial hubs impact host fitness in repeated field trials

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

Machine learning for metagenomics: methods and tools

Revealing environmentally driven population dynamics of an Arctic diatom using a novel Microsatellite PoolSeq Barcoding approach.

Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review

Intragenomic diversity of the V9 hypervariable domain in eukaryotes has little effect on metabarcoding

Bacterial taxa predictive of hyperpigmented skins

A new sampling device for metabarcoding surveillance of port communities and detection of non-indigenous species


PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

FCN-Transformer Feature Fusion for Polyp Segmentation

Medical Image Understanding and Analysis

Video Polyp Segmentation: A Deep Learning Perspective

NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection

Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation


Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Attention mechanisms in computer vision: A survey

Visual attention network

Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks


Interactive GAN evolution of Mario and Zelda levels.

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks

Tile pattern KL-divergence for analysing and evolving game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations


Utilities for astronomical spectral energy distributions

Stellar Population Inference with Prospector

The Astrophysical Journal Supplement Series

High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions

Monthly notices of the Royal Astronomical Society

High-redshift JWST predictions from IllustrisTNG: II. Galaxy line and continuum spectral indices and dust attenuation curves

High redshift JWST predictions from IllustrisTNG: III. Infrared luminosity functions, obscured star formation and dust temperature of high-redshift galaxies.

The SPHINX Public Data Release: Forward Modelling High-Redshift JWST Observations with Cosmological Radiation Hydrodynamics Simulations

The Dragonfly Wide Field Survey. II. Accurate Total Luminosities and Colors of Nearby Massive Galaxies and Implications for the Galaxy Stellar-mass Function

Starduster: A Multiwavelength SED Model Based on Radiative Transfer Simulations and Deep Learning


SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.

Improved upper limits on the 21 cm signal power spectrum of neutral hydrogen at z ≈ 9.1 from LOFAR

Modelling and peeling extended sources with shapelets: A Fornax A case study

Publications of the Astronomical Society of Australia

Data multiplexing in radio interferometric calibration

Adaptive ADMM in Distributed Radio Interferometric Calibration

GPU acceleration of the SAGECal calibration package for the SKA

A novel radio imaging method for physical spectral index modelling


A parser to read .imzML files with python

Cancer Tissue Classification Using Supervised Machine Learning Applied to MALDI Mass Spectrometry Imaging

Sample preparation strategy for the detection of steroid-like compounds using MALDI mass spectrometry imaging: pulmonary distribution of budesonide as a case study

High-throughput deconvolution of native protein mass spectrometry imaging datasets for mass domain analysis.


Marine carbonate system calculations in Python

PyCO2SYS v1.8: marine carbonate system calculations in Python

PyCO2SYS: marine carbonate system calculations in Python

Geoscientific Model Development Discussions

Spatiotemporal variability in pH and carbonate parameters on the Canadian Atlantic continental shelf between 2014 and 2022


Computer vision based program for pattern recognition in chromosome (Hi-C) contact maps

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

Computer vision for pattern detection in chromosome contact maps

Simultaneous single-cell three-dimensional genome and gene expression profiling uncovers dynamic enhancer connectivity underlying olfactory receptor choice


A fast, effective data attribution method for neural networks in PyTorch

TRAK: Attributing Model Behavior at Scale

Intriguing Properties of Data Attribution on Diffusion Models

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning

Training Data Attribution via Approximate Unrolled Differentiation

A Simple and Efficient Baseline for Data Attribution on Images


⛔ DEPRECATED <Python Framework for Reproducible Deep Learning Experiments>

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks

STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018

Are You Tampering With My Data?


Python client to interface with the NSF NOIRLab's Astro Data Lab Science Platform.

The Dark Energy Survey Data Release 2

An empirical model of the Gaia DR3 selection function

Deep Synoptic Array Science: A Massive Elliptical Host Among Two Galaxy-cluster Fast Radio Bursts

Linking Extragalactic Transients and Their Host Galaxy Properties: Transient Sample, Multiwavelength Host Identification, and Database Construction

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

Deep drilling in the time domain with DECam: survey characterization


Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

Recurrent switching linear dynamical systems

Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes

Bayesian latent structure discovery from multi-neuron recordings

Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables

Efficient Bayesian Inference for a Gaussian Process Density Model

A mathematical model of local and global attention in natural scene viewing

Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects

Nonlinear Hawkes Process with Gaussian Process Self Effects

A Mathematical Model of Exploration and Exploitation in Natural Scene Viewing


Malleable Load Balancer. Massively Parallel Logic Backend. Award-winning SAT solving for the cloud.

Scalable SAT Solving in the Cloud

Decentralized Online Scheduling of Malleable NP-hard Jobs

Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers

Tools and Algorithms for the Construction and Analysis of Systems


FUND - Climate Framework for Uncertainty, Negotiation and Distribution

Economic Impact of Energy Consumption Change Caused by Global Warming

Social Cost of Carbon: What Do the Numbers Really Mean?


Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing

Targeted in silico characterization of fusion transcripts in tumor and normal tissues via FusionInspector


:book::books:An introductory tutorial for BioJava

BioJava 5: A community driven open-source bioinformatics library

Principles and characteristics of biological assemblies in experimentally determined protein structures

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank


A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Erasing Concepts from Diffusion Models

Dataset Distillation using Neural Feature Regression

Circumventing Backdoor Defenses That Are Based on Latent Separability

Understanding and Mitigating Copying in Diffusion Models

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

When Do Flat Minima Optimizers Work?

Training Deep Spiking Neural Networks

Transferability Estimation using Bhattacharyya Class Separability

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Rethinking the Reverse-engineering of Trojan Triggers


:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A Tutorial on Principal Component Analysis

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

Qluster: An Easy-to-Implement Generic Workflow for Robust Clustering of Health Data

NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces

Frontiers in artificial intelligence and applications

Compressing and Comparing the Generative Spaces of Procedural Content Generators


A Neural Machine Translation toolkit for research purpose

Very Deep Self-Attention Networks for End-to-End Speech Recognition

Improving Zero-shot Translation with Language-Independent Constraints

Adaptive multilingual speech recognition with pretrained models

Adapting End-to-End Speech Recognition for Readable Subtitles

Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese

KIT’s IWSLT 2021 Offline Speech Translation System

Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)

Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023

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

How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems

The UET-ICTU Submissions to the VLSP 2020 News Translation Task


SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications

Crowdsourced mapping of unexplored target space of kinase inhibitors

Tangram: a comprehensive toolbox for mobile element insertion detection

Comparative evolutionary analysis and prediction of deleterious mutation patterns between sorghum and maize


Graph deep learning library for materials

Relational inductive biases, deep learning, and graph networks

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials

Systematic assessment of various universal machine-learning interatomic
  potentials

Crystalformer: Infinitely Connected Attention for Periodic Structure
  Encoding

Performance Assessment of Universal Machine Learning Interatomic
  Potentials: Challenges and Directions for Materials' Surfaces


Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing

Projection of Expression Profiles to Transcription Factor Activity Space Provides Added Information

A comparative study on machine learning approaches for rock mass
  classification using drilling data


Nested Sampling code

Constant-pressure nested sampling with atomistic dynamics

On the performance of interatomic potential models of iron: Comparison of the phase diagrams

Neural-Network Force Field Backed Nested Sampling: Study of the Silicon p-T Phase Diagram

Nested Sampling of Materials’ Potential Energy Surfaces: Case Study of Zirconium

Carbon phase diagram with empirical and machine learned interatomic potentials


Matlab implementations of Gaussian processes and other machine learning tools.

MOGPTK: The Multi-Output Gaussian Process Toolkit

Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

International Conference on Robotics and Automation

Fast approximate Bayesian computation for estimating parameters in differential equations

Short-term time series prediction using Hilbert space embeddings of autoregressive processes

Indian Buffet process for model selection in convolved multiple-output Gaussian processes


AstroAccelerate is a many-core accelerated software package for processing time-domain radio-astronomy data.

Simultaneous multi-telescope observations of FRB 121102

A GPU Implementation of the Correlation Technique for Real-time Fourier Domain Pulsar Acceleration Searches

FRB 20210405I: a nearby Fast Radio Burst localized to sub-arcsecond precision with MeerKAT

First discoveries and localizations of Fast Radio Bursts with MeerTRAP: real-time, commensal MeerKAT survey

Monthly Notices of the Royal Astronomical Society

MeerTRAP in the era of multi-messenger astrophysics

Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

A polyphase filter for many-core architectures

A MeerKAT, e-MERLIN, H.E.S.S., and Swift search for persistent and transient emission associated with three localized FRBs

Searching for pulsars in extreme orbits -- GPU acceleration of the Fourier domain 'jerk' search


R raster package https://rspatial.github.io/raster/reference/raster-package.html

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

Fossil-Informed Models Reveal a Boreotropical Origin and Divergent Evolutionary Trajectories in the Walnut Family (Juglandaceae)

Picks in the Fabric of a Polyploidy Complex: Integrative Species Delimitation in the Tetraploid Leucanthemum Mill. (Compositae, Anthemideae) Representatives

History of Diversification and Adaptation from North to South Revealed by Genomic Data: Guanacos from the Desert to Sub-Antarctica


Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Best Practices for Scientific Research on Neural Architecture Search

Efficient Forward Architecture Search

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

FEAR: A Simple Lightweight Method to Rank Architectures


Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

A Survey on Text Classification: From Shallow to Deep Learning

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Label Disentanglement in Partition-based Extreme Multilabel Classification

Probabilistic Label Trees for Extreme Multi-label Classification

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

A Survey on Extreme Multi-label Learning

Cluster-Guided Label Generation in Extreme Multi-Label Classification

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN

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


LAnguage Modelling Benchmarks

On the State of the Art of Evaluation in Neural Language Models

Mogrifier LSTM

Long Expressive Memory for Sequence Modeling

Pushing the bounds of dropout

iRNN: Integer-only Recurrent Neural Network

Training Integer-Only Deep Recurrent Neural Networks


"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

Unsupervised Representation Learning by Predicting Image Rotations

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

IEEE transactions on pattern analysis and machine intelligence


State-of-the-art neural cardinality estimators for join queries

NeuroCard: One Cardinality Estimator for All Tables

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation


Code for Weighted QMIX

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Regularized Softmax Deep Multi-Agent Q-Learning

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

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


Influenza data pipeline to automate genotyping assignment

Highly Pathogenic Avian Influenza A(H5N1) Virus Clade 2.3.4.4b Infections in Wild Terrestrial Mammals, United States, 2022

Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region

Detection of clade 2.3.4.4b highly pathogenic H5N1 influenza virus in New York City

bioRxiv : the preprint server for biology

Genomic characterization of highly pathogenic avian influenza A H5N1 virus newly emerged in dairy cattle

Phylodynamics of avian influenza A(H5N1) viruses from outbreaks in Brazil


Abbreviation definition dection library trained on PubMed abstracts

Biomedical Entity Representations with Synonym Marginalization

Transferability of Natural Language Inference to Biomedical Question Answering

A Deep Learning-Based System for PharmaCoNER

Empirical Methods in Natural Language Processing

Better than BERT but Worse than Baseline


A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Explaining and Harnessing Adversarial Examples

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Improving Back-Propagation by Adding an Adversarial Gradient


A comparative study of fairness-enhancing interventions in machine learning

Understanding artificial intelligence ethics and safety

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International Journal of Artificial Intelligence in Education

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


Codebase for testing whether hidden states of neural networks encode discrete structures.

A Structural Probe for Finding Syntax in Word Representations

North American Chapter of the Association for Computational Linguistics

Emergent linguistic structure in artificial neural networks trained by self-supervision

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

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART


PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Learning to Embed Semantic Similarity for Joint Image-Text Retrieval

Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?

Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

Local Temperature Scaling for Probability Calibration

What Makes Graph Neural Networks Miscalibrated?

Beyond In-Domain Scenarios: Robust Density-Aware Calibration

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification

Proceedings of the AAAI Conference on Artificial Intelligence


CoAID: COVID-19 Healthcare Misinformation Dataset

Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation

ARCNN framework for multimodal infodemic detection

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

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter


Creative Commons Attribution Share Alike 4.0 International

Intonation-aided intention identification for Korean

Text Implicates Prosodic Ambiguity: A Corpus for Intention Identification of the Korean Spoken Language

Open Korean Corpora: A Practical Report

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

Investigating an Effective Character-level Embedding in Korean Sentence Classification

A Survey on Awesome Korean NLP Datasets


Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series

Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data

Latent SDEs on Homogeneous Spaces


Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question
  Answering


SIP: Significant Interaction Peak caller

Analysis of Hi-C data using SIP effectively identifies loops in organisms from C. elegans to mammals

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Proximity-dependent recruitment of Polycomb repressive complexes by the lncRNA Airn


Data Programming by Demonstration (DPBD) for Document Classification

Snorkel: Rapid Training Data Creation with Weak Supervision

Data Programming: Creating Large Training Sets, Quickly

Ruler: Data Programming by Demonstration for Document Labeling

Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions


Real-time and accurate open-vocabulary end-to-end object detection

OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Real-time Transformer-based Open-Vocabulary Detection with Efficient
  Fusion Head


GLSL surface rendering source code. Compiled versions available from NITRC. Loads 3DS, CTM, DXF, FreeSurfer, GII (GIfTI), GTS, LWO2, MS3D, MZ3, NV (BrainNetViewer), OBJ, OFF, PLY, STL, VTK. Tractography formats include BFloat, PDB, TCK, TRK, and VTK. Also NIfTI format voxelwise images.

Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study

Cortical and white matter correlates of language‐learning aptitudes

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving

Betting on Non-Invasive Brain Stimulation to Treat Gambling Disorder: A Systematic Review and Meta-Analysis

Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits


A Learning-based Iterative Method for Solving Vehicle Routing Problems

International Conference on Learning Representations

Local Optima Correlation Assisted Adaptive Operator Selection

Learning Enhanced Optimisation for Routing Problems


Differentiable Learning of Logical Rules for Knowledge Base Reasoning

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

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

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Knowledge Graph Reasoning with Relational Directed Graph

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

An original model for multi-target learning of logical rules for knowledge graph reasoning


Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

Scalable Graph Neural Networks via Bidirectional Propagation

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

IGLU: Efficient GCN Training via Lazy Updates


Neural Video Compression with Diverse Contexts

Adaptive Frequency Filters As Efficient Global Token Mixers

Active Token Mixer


[NeurIPS2022] Egocentric Video-Language Pretraining

Egocentric Video-Language Pretraining

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone

Egocentric Video-Language Pretraining @ Ego4D Challenge 2022

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

Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022


Flickr-Faces-HQ Dataset (FFHQ)

A Style-Based Generator Architecture for Generative Adversarial Networks

Alias-Free Generative Adversarial Networks

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Vector-quantized Image Modeling with Improved VQGAN

What makes fake images detectable? Understanding properties that generalize

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

AI-synthesized faces are indistinguishable from real faces and more trustworthy

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection


Source code (back-end and front-end) of our main website, which monitors greenhouse gases emissions reports by organizations


A tool for generating consensus long-read assemblies for bacterial genomes

Trycycler: consensus long-read assemblies for bacterial genomes

Plasmid-Borne and Chromosomal ESBL/AmpC Genes in Escherichia coli and Klebsiella pneumoniae in Global Food Products

High-quality bacterial genomes of a partial-nitritation/anammox system by an iterative hybrid assembly method

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

Horizontal transfer of the rfb cluster in Leptospira is a genetic determinant of serovar identity


[TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

IEEE Transactions on Geoscience and Remote Sensing

Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange


Improving Black-box Adversarial Attacks with a Transfer-based Prior

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior


Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors

Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model

Generalized Domain Adaptation Framework for Parametric Back-End in Speaker Recognition


Baseline for the CNLI corpus

A Decomposable Attention Model for Natural Language Inference

Enhanced LSTM for Natural Language Inference

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

Analogical Reasoning on Chinese Morphological and Semantic Relations

Soft Representation Learning for Sparse Transfer

Meeting of the Association for Computational Linguistics


Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation

Self Contrastive Learning for Session-based Recommendation

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation


Training confounder-free deep learning models for medical applications

Representation Learning with Statistical Independence to Mitigate Bias

Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction


SurFree: a fast surrogate-free black-box attack

Exploring Transferability on Adversarial Attacks

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


A dataset containing story plots from Wikipedia (books, movies, etc.) and the code for the extractor.

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification

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

Unfamiliar Finetuning Examples Control How Language Models Hallucinate

DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

Towards Coherent and Consistent Use of Entities in Narrative Generation

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding

Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework


Stacked Capsule Autoencoders

An Evasion Attack against Stacked Capsule Autoencoder

Towards robust stacked capsule autoencoder with hybrid adversarial training


LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Syntactic Multi-view Learning for Open Information Extraction

Constrained Tuple Extraction with Interaction-Aware Network

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

Open Information Extraction via Chunks


[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation

Knowledge Distillation with the Reused Teacher Classifier

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers


[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

Dealing with Missing Modalities in Multimodal Recommendation: a Feature
  Propagation-based Approach


Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Learning from Noisy Labels with Deep Neural Networks: A Survey

Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Synthetic vs Real: Deep Learning on Controlled Noise


IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Deep Residual Learning for Image Recognition

Datasheets for Datasets

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society


A toolkit for discourse segmentation (EDU segmentation).

Toward Fast and Accurate Neural Discourse Segmentation

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

EDU-level Extractive Summarization with Varying Summary Lengths


An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)


Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Deep Domain Confusion: Maximizing for Domain Invariance

Conditional Adversarial Domain Adaptation

Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition


A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

Spacecraft Homography Pose Estimation with Single-Stage Deep Convolutional Neural Network


Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing

Model-Powered Conditional Independence Test

CCMI : Classifier based Conditional Mutual Information Estimation

Diffeomorphic Information Neural Estimation

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection


Entity Disambiguation as text extraction (ACL 2022)

ExtEnD: Extractive Entity Disambiguation

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

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

Entity Disambiguation with Entity Definitions


Scalable training for dense retrieval models.

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Domain-matched Pre-training Tasks for Dense Retrieval

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR

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


Predicting tandem mass spectra from molecules

Efficiently predicting high resolution mass spectra with graph neural networks

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks

Prefix-Tree Decoding for Predicting Mass Spectra from Molecules

MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using Graph Transformers


Remove problematic gender bias from word embeddings.

Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

Attenuating Bias in Word Vectors

Understanding Undesirable Word Embedding Associations

Gender-preserving Debiasing for Pre-trained Word Embeddings

Two Simple Ways to Learn Individual Fairness Metrics from Data

Theories of "Gender" in NLP Bias Research


NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

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

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Faithful Chain-of-Thought Reasoning

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Calibrating Large Language Models with Sample Consistency

SELF: Self-Evolution with Language Feedback

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

Design of Chain-of-Thought in Math Problem Solving


Character-level Convolutional Networks for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT II

Active Learning with Query Generation for Cost-Effective Text Classification

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

Robust Text Classifier on Test-Time Budgets

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

Measuring Robustness to Natural Distribution Shifts in Image Classification

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Fixing the train-test resolution discrepancy: FixEfficientNet


Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Flexible Diffusion Modeling of Long Videos

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video
  Generation

On the Content Bias in Fréchet Video Distance

ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models


Accurate prediction of cell type-specific transcription factor binding

PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting

Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models

Importance of RpoD- and Non-RpoD-Dependent Expression of Horizontally Acquired Genes in Cupriavidus metallidurans

Epigenetic features improve TALE target prediction


Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

Molecular De Novo Design through Deep Reinforcement Learning

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

Can AI reproduce observed chemical diversity?

Exploring Chemical Space with Score-based Out-of-distribution Generation

Scaffold-constrained molecular generation

Journal of chemical information and modeling

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

Automated patent extraction powers generative modeling in focused chemical spaces

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction


A task group  of the "Species Information Interest Group" set to develop a set of vocabulary terms that can be used to describe different aspects of biological species

Comparison of species information TDWG standards from the point of view of the Plinian Core specification

Biodiversity Information Science and Standards

How species interactions are managed in Plinian Core: Status and questions

The Living Atlases Community in Action: Sharing Species Pages through the Atlas of Living Costa Rica

Hemi- and Homonyms in the Big Data Era

Sharing Species Pages in the Atlas of Living Costa Rica using Plinian Core

Plinian Core: The long and winding road


A user-friendly python package for computing and plotting machine learning explainability output.

A Simple and Effective Model-Based Variable Importance Measure

Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability

Grouped Feature Importance and Combined Features Effect Plot

Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement

Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction

Statistical inference using machine learning and classical techniques based on accumulated local effects (ALE)


The Surprisingly ParalleL spArse Tensor Toolkit.

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries

International Conference on Data Engineering

ALTO: Adaptive Linearized Storage of Sparse Tensors

PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ICS 2021

Parallel Sparse Tensor Decomposition in Chapel

International Parallel and Distributed Processing Symposium


R data package for pre-compiled somatic mutations from TCGA cohorts and CCLE

Maftools: efficient and comprehensive analysis of somatic variants in cancer

A pan-cancer analysis of the clinical and genetic portraits of somatostatin receptor expressing tumor as a potential target of peptide receptor imaging and therapy

Mutant p53 gains oncogenic functions through a chromosomal instability-induced cytosolic DNA response

Effects of psoriasis and psoralen exposure on the somatic mutation landscape of the skin

CRUX, a platform for visualising, exploring and analysing cancer genome cohort data


Automating the Design of Multigrid Methods with Evolutionary Program Synthesis

ExaStencils: Advanced Multigrid Solver Generation

Software for Exascale Computing - SPPEXA 2016-2019

Optimizing Geometric Multigrid Methods with Evolutionary Computation


Rule-based token, sentence segmentation for Russian language

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

RuCoLA: Russian Corpus of Linguistic Acceptability

So What's the Plan? Mining Strategic Planning Documents

Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"

YerevaNN’s Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs

Empirical Methods in Natural Language Processing


An open source Python server to deploy energy management solutions for buildings


The enriched version of the WebNLG described at INLG 2018

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Enriching the WebNLG corpus

International Conference on Natural Language Generation

Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems

Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities

International Conference on Computational Linguistics

Compositional Generalization for Data-to-Text Generation


This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning


Comparing fairness-aware machine learning techniques.

A comparative study of fairness-enhancing interventions in machine learning

Equalizing Recourse across Groups

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International Journal of Artificial Intelligence in Education

FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness

International Journal of Intelligent Systems

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

Fair Adversarial Gradient Tree Boosting

Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


10th Anniversary Edition (Not endorsed by Nintendo)

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Intentional Computational Level Design

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

Deep Surrogate Assisted Generation of Environments

Generating Levels That Teach Mechanics

International Conference on Foundations of Digital Games

Procedural content generation using neuroevolution and novelty search for diverse video game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors

Generating Game Levels of Diverse Behaviour Engagement

Compressing and Comparing the Generative Spaces of Procedural Content Generators


An R package for creating Q-Q and manhattan plots from GWAS results

qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots

Assessing genome assembly quality using the LTR Assembly Index (LAI)

Genetics of structural connectivity and information processing in the brain

Developmental language disorder – a comprehensive study of more than 46,000 individuals

Thirty novel sequence variants impacting human intracranial volume

Telomere-to-telomere Citrullus super-pangenome provides direction for watermelon breeding

Genetic and epidemiological analyses of infection load and its relationship with psychiatric disorders


Strong baseline for visual question answering

Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

Explicit Bias Discovery in Visual Question Answering Models

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis


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

Robust deep learning-based semantic organ segmentation in hyperspectral images

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room

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

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

bioRxiv : the preprint server for biology

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


SIGMORPHON 2020 Shared Task: Grapheme-to-Phoneme, Unsupervised Induction of Morphology, and Typologically Diverse Morphological Inflection

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion

Special Interest Group on Computational Morphology and Phonology Workshop

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

Making a Point: Pointer-Generator Transformers for Disjoint Vocabularies

International Joint Conference on Natural Language Processing

Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model

Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion

Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems

Back-Transliteration of English Loanwords in Japanese

Proceedings of the Workshop on Computation and Written Language (CAWL 2023)


Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

Arabic Text Diacritization Using Deep Neural Networks

Multi-components System for Automatic Arabic Diacritization

Automatic Methods and Neural Networks in Arabic Texts Diacritization: A Comprehensive Survey

Automatic Restoration of Diacritics for Speech Data Sets

A Context-Contrastive Inference Approach To Partial Diacritization


COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning

Refined Commonsense Knowledge from Large-Scale Web Contents

IEEE Transactions on Knowledge and Data Engineering

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents

Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization

PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation

A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines


Fine-tuned  MARL algorithms on SMAC (100% win rates on most scenarios)

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning.

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework

Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation


Library and command line utility to do approximate string matching of a source against a bitext index and get matched source and target.

Bilingual Synchronization: Restoring Translational Relationships with Editing Operations

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

Integrating Translation Memories into Non-Autoregressive Machine Translation


Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

A Unified View of Piecewise Linear Neural Network Verification

Branch and Bound for Piecewise Linear Neural Network Verification

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Quantifying safety risks of deep neural networks

Towards the Quantification of Safety Risks in Deep Neural Networks


Bamboo: a morphing smart contract language

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Smart Contract Security: a Practitioners' Perspective

Resource-Aware Session Types for Digital Contracts

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts


EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs

A Question-answering Based Framework for Relation Extraction Validation

Distantly-Supervised Neural Relation Extraction with Side Information using BERT

International Joint Conference on Neural Network


tracking medical datasets, with a focus on medical imaging

Learning Task-Specific Strategies for Accelerated MRI

A Plug-and-Play Image Registration Network

Towards Positive Jacobian: Learn to Postprocess for Diffeomorphic Image Registration with Matrix Exponential


Gradient Unwarping in Python

Mapping Short Association Fibers in the Early Cortical Visual Processing Stream Using In Vivo Diffusion Tractography

The impact of B1+ correction on MP2RAGE cortical T 1 and apparent cortical thickness at 7T

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience

Assessing methods for geometric distortion compensation in 7T gradient echo fMRI data

Same Brain, Different Look? – the Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters

High-resolution quantitative and functional MRI indicate lower myelination of thin and thick stripes in human secondary visual cortex

CHIASM, the human brain albinism and achiasma MRI dataset

Multi-scale structural alterations of the thalamus and basal ganglia in focal epilepsy using 7T MRI.


Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software


Python implementation of the Short Term Objective Intelligibility measure

Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

On the Compensation Between Magnitude and Phase in Speech Separation

Speech Denoising Without Clean Training Data: A Noise2Noise Approach

Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform

SVTS: Scalable Video-to-Speech Synthesis

Improving speaker de-identification with functional data analysis of f0 trajectories

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery

IEEE Journal on Selected Topics in Signal Processing

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models


Open Climate Repo


CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

mixup: Beyond Empirical Risk Minimization

Masked Autoencoders Are Scalable Vision Learners

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

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

A ConvNet for the 2020s

Exploring Simple Siamese Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination


A simulation library for Agility Robotics' Cassie robot using MuJoCo

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Feedback Control For Cassie With Deep Reinforcement Learning

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition

Adapting Rapid Motor Adaptation for Bipedal Robots

Learning Task Space Actions for Bipedal Locomotion

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal
  Locomotion Control

Validating Robotics Simulators on Real-World Impacts

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads


Client library for interfacing with USGS datasets


A tokenizer for Icelandic text

The ParlaMint corpora of parliamentary proceedings

Miðeind's WMT 2021 submission

Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

IceSum: An Icelandic Text Summarization Corpus

North American Chapter of the Association for Computational Linguistics

Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users

Tokenizer for Icelandic text


IDAPython project for Hex-Ray's IDA Pro

Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning

Research on RSA Padding Identification Method in IoT Firmwares


Brainstorm plugin for fNIRS data analysis

Best practices for fNIRS publications

A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

The Benefits of Physical Activity in Individuals with Cardiovascular Risk Factors: A Longitudinal Investigation Using fNIRS and Dual-Task Walking

Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean.

Impact of Anatomical Variability on Sensitivity Profile in fNIRS–MRI Integration

Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications


Extensible, parallel implementations of t-SNE

The art of using t-SNE for single-cell transcriptomics

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Modular, efficient and constant-memory single-cell RNA-seq preprocessing

openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding

Embedding to reference t-SNE space addresses batch effects in single-cell classification

Interactive keyterm-based document clustering and visualization via neural language models


Korean GPT-2 pretrained cased (KoGPT2)

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Transformer-based Korean Pretrained Language Models: A Survey on Three Years of Progress

StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands


Collection of EM algorithms for blind source separation of audio signals

Unsupervised training of a deep clustering model for multichannel blind source separation

Unsupervised training of neural mask-based beamforming

A Comparison and Combination of Unsupervised Blind Source Separation Techniques

UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures

Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation

SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Robust ASR


Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.

BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty

QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems

Environmental Science: Water Research & Technology

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies


Fast and accurate DRAM power and energy estimation tool

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

NoM: Network-on-Memory for Inter-Bank Data Transfer in Highly-Banked Memories

EXMA: A Genomics Accelerator for Exact-Matching

Enabling Effective Error Mitigation in Memory Chips That Use On-Die Error-Correcting Codes

Improving DRAM Performance, Security, and Reliability by Understanding and Exploiting DRAM Timing Parameter Margins

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation

Self-Managing DRAM: A Low-Cost Framework for Enabling Autonomous and Efficient in-DRAM Operations


A captcha library that generates audio and image CAPTCHAs.

Deep-CAPTCHA: A Deep Learning Based CAPTCHA Solver for Vulnerability Assessment

Using Domain Adversarial Learning for Text Captchas Recognition

Труды Института системного программирования РАН

Vulnerability Analysis for Captchas Using Deep Learning


Tools for power spectra estimation

CMB power spectra and cosmological parameters from Planck PR4 with CamSpec

Monthly Notices of the Royal Astronomical Society

The Atacama Cosmology Telescope: map-based noise simulations for DR6

Accurate estimation of angular power spectra for maps with correlated masks

The Simons Observatory: a new open-source power spectrum pipeline applied to the Planck legacy data

Journal of Cosmology and Astroparticle Physics


SBOL Enhancement Proposals

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering

Frontiers in bioengineering and biotechnology

Synthetic Biology Open Language (SBOL) Version 2.3

Synthetic Biology Open Language (SBOL) Version 2.2.0


A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

SSD: Single Shot MultiBox Detector

FaceNet: A Unified Embedding for Face Recognition and Clustering

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Deep Face Recognition

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Deep Learning Face Representation from Predicting 10,000 Classes

Deep Learning Face Representation by Joint Identification-Verification

Deeply learned face representations are sparse, selective, and robust

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild


Implemetatin of Progressive Growing of GANs in PyTorch

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

On the Frequency Bias of Generative Models

Diffeomorphic Counterfactuals with Generative Models

Optimizing Intermediate Representations of Generative Models for Phase Retrieval


An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries . Additionally the program provides the ability to model both site and base specific error, and scripts are provided to train this error model on real datasets. My hope in creating this program is to generate as realistic data as possible to assist in assessing the accuracy of genome assembly tools.

Assemblathon 1: A competitive assessment of de novo short read assembly methods

GemSIM: general, error-model based simulator of next-generation sequencing data

Estimating telomere length from whole genome sequence data

CLEVER: Clique-Enumerating Variant Finder

De novo assembly of viral quasispecies using overlap graphs

Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data

A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data

Variant profiling of evolving prokaryotic populations

AMYCNE: Confident copy number assessment using whole genome sequencing data


Reference implementations for RecurJac, CROWN, FastLin and FastLip  (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]

Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

Algorithms for Verifying Deep Neural Networks

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications


Smartian: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses (ASE '21)

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects

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

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


Correlation Alignment for Domain Adaptation

Domain Adaptation for Visual Applications: A Comprehensive Survey

Correlation Alignment for Unsupervised Domain Adaptation

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

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

Adaptive Trajectory Prediction via Transferable GNN

Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning


本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的 应用探索与研究”相关模型

Medical Dialogue Generation via Dual Flow Modeling

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway
  Encoding

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment


SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.

Optimizing Dense Retrieval Model Training with Hard Negatives

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

Information Retrieval with Entity Linking


This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Explanations can be manipulated and geometry is to blame

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

Learning Low-Rank Approximation for CNNs

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients

Deep Active Learning with Noise Stability

Orthogonal Deep Models as Defense Against Black-Box Attacks


GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

UL2: Unifying Language Learning Paradigms

LongT5: Efficient Text-To-Text Transformer for Long Sequences

Scaling Up Models and Data with  and

MAGVIT: Masked Generative Video Transformer

All You May Need for VQA are Image Captions

CoLT5: Faster Long-Range Transformers with Conditional Computation

PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception

mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences


Scripts to estimate genome size and coverage from kmer distribution generated by jellyfish

Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

Resolving evolutionary relationships in lichen-forming fungi using diverse phylogenomic datasets and analytical approaches

Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants

The Genome Sequence of Alpine Megacarpaea delavayi Identifies Species-Specific Whole-Genome Duplication

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

Occupancy Networks: Learning 3D Reconstruction in Function Space

Learning joint reconstruction of hands and manipulated objects

Learning Gradient Fields for Shape Generation

Shape As Points: A Differentiable Poisson Solver

Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning

Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings


Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 6


PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

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

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders

Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images

Self-Supervised Pretraining for 2D Medical Image Segmentation

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning

Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?


Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

International Conference on Machine Learning

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Dual IV: A Single Stage Instrumental Variable Regression.

Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach

Instrumental Variables in Causal Inference and Machine Learning: A Survey

Causal Inference with Conditional Instruments using Deep Generative Models


Creative Commons Attribution 4.0 International

Repository for the Bias Benchmark for QA dataset.

Holistic Evaluation of Language Models

BBQ: A Hand-Built Bias Benchmark for Question Answering

DataComp-LM: In search of the next generation of training sets for
  language models

Self-Debiasing Large Language Models: Zero-Shot Recognition and
  Reduction of Stereotypes

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

Eagle: Ethical Dataset Given from Real Interactions

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression


PDDL instances covering the International Planning Competitions

Gemini 1.5: Unlocking multimodal understanding across millions of tokens
  of context

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Model Elicitation through Direct Questioning

Towards Action Model Learning for Player Modeling

Exploring and Benchmarking the Planning Capabilities of Large Language Models


conlleval in Python (script for chunking/NER evaluation)

A Survey of Joint Intent Detection and Slot Filling Models in Natural Language Understanding

Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting

Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022

Few-shot sequence labeling with label dependency transfer

NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi

Learning Functions to Study the Benefit of Multitask Learning

F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition

Utilizing coarse-grained data in low-data settings for event extraction


Playing with Words at the National Library of Sweden -- Making a Swedish BERT

Pre-training Polish Transformer-based Language Models at Scale

Improving text mining in plant health domain with GAN and/or pre-trained language model

Implant Term Extraction from Swedish Medical Records – Phase 1: Lessons Learned

Linköping electronic conference proceedings

Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Learning Energy-Based Models by Diffusion Recovery Likelihood

Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

Persistently Trained, Diffusion-assisted Energy-based Models


Structured matrices for compressing neural networks

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Learning Compressed Transforms with Low Displacement Rank

Reservoir Computing meets Recurrent Kernels and Structured Transforms

Localized Contrastive Learning on Graphs


Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)

Multimodal Word Distributions

Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention

Workshop on Biomedical Natural Language Processing


A Go-based tracking of cosmic velocity fields through the use of tetrahedra

Universal at Last? The Splashback Mass Function of Dark Matter Halos

Flybys, Orbits, Splashback: Subhalos and the Importance of the Halo Boundary

The Splashback Radius of Halos from Particle Dynamics. III. Halo Catalogs, Merger Trees, and Host–Subhalo Relations

The Astrophysical Journal Supplement Series

Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys


Align multiple amino acid or nucleotide sequences.

A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

Feasibility and clinical utility of local rapid Nanopore influenza A virus whole genome sequencing for integrated outbreak management, genotypic resistance detection and timely surveillance

Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China

Mechanisms used for cDNA synthesis and site-specific integration of RNA into DNA genomes by a reverse transcriptase-Cas1 fusion protein

bioRxiv : the preprint server for biology


Explore and interpret large embeddings in your browser with interactive visualization!

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings

Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics


Stochastic Weight Averaging in PyTorch

Averaging Weights Leads to Wider Optima and Better Generalization

A Simple Baseline for Bayesian Uncertainty in Deep Learning

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

SWALP : Stochastic Weight Averaging in Low-Precision Training

Learning Neural Network Subspaces


Berry curvature and Chern number calculations with the output (WAVECAR) of VASP code

Strain effects on the topological and valley properties of the Janus monolayer VSiGeN4

Valley-polarized quantum anomalous Hall insulator in monolayer RuBr2

Circular Dichroism of Emergent Chiral Stacking Orders in Quasi-One-Dimensional Charge Density Waves.

A possible electronic state quasi-half-valley-metal in VGe_2P_4 monolayer

Proposal for valleytronic materials: Ferrovalley metal and valley gapless semiconductor

Importance of magnetic shape anisotropy in determining magnetic and electronic properties of monolayer VSi_2P_4

Electric-field induced magnetic-anisotropy transformation to achieve spontaneous valley polarization

Piezoelectric ferromagnetism in Janus monolayer YBrI: a first-principles prediction

Large spontaneous valley polarization and anomalous valley Hall effect
  in antiferromagnetic monolayer Fe_2CF_2

Isovalent alloying assisted anomalous valley Hall effect in hexagonal
  antiferromagnetic monolayer


Official PyTorch implementation of NICE-GAN:  Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Breaking the Dilemma of Medical Image-to-image Translation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

An Attentive-based Generative Model for Medical Image Synthesis


S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"

Empirical Methods in Natural Language Processing

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check

Dynamic Connected Networks for Chinese Spelling Check

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

An Error-Guided Correction Model for Chinese Spelling Error Correction

A Chinese Spelling Check Framework Based on Reverse Contrastive Learning

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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


AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real
  Computer Environments

Large Multimodal Agents: A Survey

Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents

A Reference Architecture for Designing Foundation Model based Systems


Pytorch implementation of Sentiment Classification in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Calibrating Deep Neural Networks using Focal Loss

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations

International Joint Conference on Neural Network


ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

ToTTo: A Controlled Table-To-Text Generation Dataset

Text-to-Text Pre-Training for Data-to-Text Tasks

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

Table-To-Text generation and pre-training with TabT5

CoNT: Contrastive Neural Text Generation


PyTorch implementation of SAC-Discrete.

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Soft Actor-Critic for Discrete Action Settings

Addressing Action Oscillations through Learning Policy Inertia


Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

Interactive Fiction Games: A Colossal Adventure

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning


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

Learning on Large-scale Text-attributed Graphs via Variational Inference

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Bridging Local Details and Global Context in Text-Attributed Graphs


BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Drug Repurposing for COVID-19 via Knowledge Graph Completion

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

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

An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis

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

Stress Test Evaluation of Biomedical Word Embeddings


A Python package for analysing knots and links, in space-curves or from standard topological notations

Topological nature of the liquid–liquid phase transition in tetrahedral liquids

New Stick Number Bounds from Random Sampling of Confined Polygons

Hypergraphs for multiscale cycles in structured data

A statistical approach to knot confinement via persistent homology

Knot probabilities in equilateral random polygons

Journal of Physics A: Mathematical and Theoretical

Using the HOMFLY-PT polynomial to compute knot types


Lane detection with PaddlePaddle. PPLanedet contains many SOTA methods, e.g. CondLaneNet, SCNN, RESA, RTFormer,UFLD

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Ultra Fast Structure-aware Deep Lane Detection

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

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection

End-to-End Lane detection with One-to-Several Transformer


Tor anonymity network for SGX

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security

No Forking Way: Detecting Cloning Attacks on Intel SGX Applications

STELLA: Sparse Taint Analysis for Enclave Leakage Detection


An open-source codebase for exploring autonomous driving pre-training

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving


UNFCCC Emissions data from the Detailed Data By Party interface


Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A Survey on Text Classification: From Shallow to Deep Learning

GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples

Socratic Question Generation: A Novel Dataset, Models, and Evaluation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data