Quantum supremacy using a programmable superconducting processor

Optimality Study of Existing Quantum Computing Layout Synthesis Tools


A simple wrapper for the U.S. Energy Information Administration API


Bilinear attention networks for visual question answering

Bilinear Attention Networks

Cycle-Consistency for Robust Visual Question Answering

Language Features Matter: Effective Language Representations for Vision-Language Tasks

Nougat: Neural Optical Understanding for Academic Documents

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings

Learning from Lexical Perturbations for Consistent Visual Question Answering.

Weakly supervised cross-domain alignment with optimal transport.

Guiding Visual Question Answering with Attention Priors


The Kinetics Human Action Video Dataset

A Closer Look at Spatiotemporal Convolutions for Action Recognition

How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization


Coherent Semantic Attention for image inpainting(ICCV 2019)

Image Inpainting for Irregular Holes Using Partial Convolutions

Coherent Semantic Attention for Image Inpainting

Text-Guided Neural Image Inpainting

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

Neural Image Inpainting Guided with Descriptive Text


Learning unknown ODE models with Gaussian processes

Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data

Learning nonparametric ordinary differential equations from noisy data


Improved Phased Assembler

Inferring microbiota functions from taxonomic genes: a review

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

An intronic transposon insertion associates with a trans-species color polymorphism in Midas cichlid fishes

Two high-quality de novo genomes from single ethanol-preserved specimens of tiny metazoans (Collembola)

Chromosome-Level Assemblies of the Pieris mannii Butterfly Genome Suggest Z-Origin and Rapid Evolution of the W Chromosome

Genome assembly of three AmazonianMorphobutterfly species reveals Z-chromosome rearrangements between closely-related species living in sympatry


ORG Fiber Clustering White Matter Atlas

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep
  Learning Framework with Supervised Contrastive Learning for Consistent
  Tractography Parcellation across Populations and dMRI Acquisitions

TractoSCR: A Novel Supervised Contrastive Regression Framework for
  Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion
  MRI Tractography

Supervised Tractogram Filtering using Geometric Deep Learning


Equilibrium Expectation for ERGM parameter estimation for large networks

Exponential random graph model parameter estimation for very large directed networks

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data

Auxiliary Parameter MCMC for Exponential Random Graph Models

Patent citation network analysis: A perspective from descriptive statistics and ERGMs

A Simple Algorithm for Scalable Monte Carlo Inference


TensorFlow implementation for our paper "Exploration via Hindsight Goal Generation"

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Outcome-directed Reinforcement Learning by Uncertainty & Temporal
  Distance-Aware Curriculum Goal Generation


Standard database for the TBProfiler tool

Whole genome sequencing of drug resistant Mycobacterium tuberculosis isolates from a high burden tuberculosis region of North West Pakistan

Mycobacterium tuberculosis whole genome sequencing provides insights into the Manila strain and drug-resistance mutations in the Philippines

Analysis of Factors Influencing Multidrug-Resistant Tuberculosis and Validation of Whole-Genome Sequencing in Children with Drug-Resistant Tuberculosis


Code for Adversarial Example Games NeurIPS 2020 Paper

Adversarial Example Games

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets


Repository for Text2Mol: Cross-Modal Molecular Retrieval with Natural Language Queries

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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language


Fast and flexible code for solving the inverse Ising/Potts inference problem

Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data

ACE: adaptive cluster expansion for maximum entropy graphical model inference

Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests

Ising models for neural activity inferred via selective cluster expansion: structural and coding properties

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity

Inference of compressed Potts graphical models

Direct coupling analysis of epistasis in allosteric materials

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS

Emergence of time persistence in a data-driven neural network model


Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models

Isolating Sources of Disentanglement in Variational Autoencoders

Understanding disentangling in β-VAE

InfoVAE: Information Maximizing Variational Autoencoders

GlanceNets: Interpretabile, Leak-proof Concept-based Models


Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning

Quantifying safety risks of deep neural networks

Towards the Quantification of Safety Risks in Deep Neural Networks


Knowledge Discovery for COVID19: Search the full text of CORD19 research papers on COVID 19

The DisGeNET knowledge platform for disease genomics: 2019 update

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature


Code for "Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation" paper. Machine Learning for Molecules Workshop @ NeurIPS 2020

Junction Tree Variational Autoencoder for Molecular Graph Generation

Analyzing Learned Molecular Representations for Property Prediction


Compilation of data from AR6 WG1


R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

MarcoPolo: a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering


[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation


RNA-Seq Mutation Detection

Next-generation sequencing identifies major DNA methylation changes during progression of Ph+ chronic myeloid leukemia

Ageing-associated changes in transcriptional elongation influence longevity

Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells

Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways


A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Learning To Follow Directions in Street View

The StreetLearn Environment and Dataset

Cross-View Policy Learning for Street Navigation


FASconCAT-G offers a wide range of possibilities to edit and concatenate multiple nucleotide, amino acid, and structure sequence alignment files for phylogenetic and population genetic purposes. The main options include sequence renaming, file format conversion, sequence translation, consensus generation of predefined sequence blocks, and RY coding as well as site exclusions in nucleotide sequences. FASconCAT-G implemented process options can be invoked in any combination and performed during a single process run. FASconCAT-G can also read in and handle different file formats (FASTA, CLUSTAL, and PHYLIP) in a single run.

The tuatara genome reveals ancient features of amniote evolution

The Crown Pearl: a draft genome assembly of the European freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758)

Complete mitochondrial genome of the ragworm annelid Hediste diversicolor (of Müller, 1776) (Annelida: Nereididae).

Shedding light on the Chimaeridae taxonomy: the complete mitochondrial genome of the cartilaginous fish Hydrolagus mirabilis (Collett, 1904) (Holocephali: Chimaeridae)

The complete mitochondrial genome of the endemic Iberian pygmy skate Neoraja iberica Stehmann, Séret, Costa, & Baro 2008 (Elasmobranchii, Rajidae)


Fast exact nearest neighbor search in Hamming distance on binary codes with Multi-index hashing

Fast Exact Search in Hamming Space with Multi-Index Hashing

Unsupervised Multi-Index Semantic Hashing

Improved Search in Hamming Space using Deep Multi-Index Hashing

Deep Multi-Index Hashing for Person Re-Identification


Lee-Huang-Yang effects in the ultracold mixture of
Na23
 and
Rb87
 with attractive interspecies interactions

Observation of Efimov Universality across a Nonuniversal Feshbach Resonance in ^{39}K.

Preparation of one 87Rb and one 133Cs atom in a single optical tweezer

Magnetic Feshbach resonances in ultracold collisions between Cs and Yb atoms

Characterizing quasibound states and scattering resonances

Feshbach spectroscopy of Cs atom pairs in optical tweezers

Interaction Potential for NaCs for Ultracold Scattering and Spectroscopy

The journal of physical chemistry. A/The journal of physical chemistry. A.

An association sequence suitable for producing ground-state RbCs molecules in optical lattices

User Manual for MOLSCAT, BOUND and FIELD, Version 2020.0: programs for quantum scattering properties and bound states of interacting pairs of atoms and molecules

Feshbach resonances in an ultracold Li7−133Cs Bose-Bose mixture


Repository for tree crown delineation from RGB imagery, coupled with methods to delineate tree crowns from LiDAR data. Further scripts to analyse the mortality rates and carbon stocks of identified individual trees.


Likelihood-based Selective Sweep Detection

A survey of methods and tools to detect recent and strong positive selection

Journal of biological research (Thessalonike, Greece)

Detecting Positive Selection in Populations Using Genetic Data

Genomic Targets of Positive Selection in Giant Mice from Gough Island


Python Implementation of Weighted Generalized Canonical Correlation Analysis

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Empirical Methods in Natural Language Processing

Learning Representations of Social Media Users


R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]

Recover User’s Private Training Image Data by Gradient in Federated Learning

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


Open Data Commons Open Database License v1.0

NeuroQuery: comprehensive meta-analysis of human brain mapping

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

NiMARE: Neuroimaging Meta-Analysis Research Environment

Zenodo (CERN European Organization for Nuclear Research)

Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain

The journal of neuroscience/The Journal of neuroscience

The entire brain, more or less, is at work: 'Language regions' are artefacts of averaging

Methods for decoding cortical gradients of functional connectivity

bioRxiv : the preprint server for biology

Substructure of the brain’s Cingulo-Opercular network


Fast Differentiable Sorting and Ranking

Fast Differentiable Sorting and Ranking

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics

Listwise Learning to Rank Based on Approximate Rank Indicators

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Rank-based Gene Ontology analysis of gene expression data

A Sustained Immune Response Supports Long-Term Antiviral Immune Priming in the Pacific Oyster, Crassostrea gigas

Guttation capsules containing hydrogen peroxide: an evolutionarily conserved NADPH oxidase gains a role in wars between related fungi

Population epigenetic divergence exceeds genetic divergence in the Eastern oyster Crassostrea virginica in the Northern Gulf of Mexico

General DNA Methylation Patterns and Environmentally-Induced Differential Methylation in the Eastern Oyster (Crassostrea virginica)

Differential basal expression of immune genes confers Crassostrea gigas resistance to Pacific Oyster Mortality Syndrome

Changes in Genome-Wide Methylation and Gene Expression in Response to Future pCO2 Extremes in the Antarctic Pteropod Limacina helicina antarctica

Plasticity to ocean warming is influenced by transgenerational, reproductive, and developmental exposure in a coral reef fish

Transcriptomic and Epigenomic Dynamics of Honey Bees in Response to Lethal Viral Infection

Resilience of Atlantic Slippersnail Crepidula fornicata Larvae in the Face of Severe Coastal Acidification

Insights into the Lignocellulose-Degrading Enzyme System of Humicola grisea var. thermoidea Based on Genome and Transcriptome Analysis


Change-Based Exploration Transfer

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration


A k-mer based program for the identification of known plasmids from whole-genome sequencing reads

PlasmidSeeker: identification of known plasmids from bacterial whole genome sequencing reads

The Dynamics of the Antimicrobial Resistance Mobilome of Salmonella enterica and Related Enteric Bacteria

Insights into the Genetic Contexts of Sulfonamide Resistance Among Early Clinical Isolates of Acinetobacter Baumannii

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

The Emergence of the Tetrathionate Reductase Operon in the Escherichia coli/Shigella Pan-genome.


A list of scRNA-seq analysis tools

Comprehensive Integration of Single-Cell Data

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Integrated analysis of multimodal single-cell data

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Massively parallel digital transcriptional profiling of single cells

Spatial reconstruction of single-cell gene expression data

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

SCENIC: Single-cell regulatory network inference and clustering

Reversed graph embedding resolves complex single-cell trajectories


Graph Ensemble Learning

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

AMR Parsing via Graph-Sequence Iterative Inference

AMR Parsing with Action-Pointer Transformer

Ensembling Graph Predictions for AMR Parsing

AMR Parsing with Instruction Fine-tuned Pre-trained Language Models


clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

Topology-Preserving Deep Image Segmentation

Topologically faithful image segmentation via induced matching of
  persistence barcodes


NAACL 2019 (Oral): Code for "Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings"

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

Bias A-head? Analyzing Bias in Transformer-Based Language Model
  Attention Heads


deep learning, image retrieval, vision and language

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Text as Neural Operator:Image Manipulation by Text Instruction

Training and challenging models for text-guided fashion image retrieval


This is the GitHub repository of the Building Efficiency Targeting Tool for Energy Retrofits (BETTER)


[CVPR 2022] ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

RISE: Randomized Input Sampling for Explanation of Black-box Models

Semi-Supervised Semantic Segmentation with Cross-Consistency Training

Bootstrapping Semantic Segmentation with Regional Contrast

Puzzle-CAM: Improved localization via matching partial and full features

International Conference on Information Photonics


Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.

Deep Residual Learning for Image Recognition

Focal Loss for Dense Object Detection

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism


Diverse Image-to-Image Translation via Disentangled Representations

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Stain-invariant self supervised learning for histopathology image
  analysis


All my scientific software thrown into one bucket.

Solving for multi-class using orthogonal coding matrices

Accelerating kernel classifiers through borders mapping

Solving for multi-class: a survey and synthesis


Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


Toy datasets to evaluate algorithms for domain generalization and invariance learning.

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

When is invariance useful in an Out-of-Distribution Generalization problem ?

Linear unit-tests for invariance discovery

Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization

Counterfactual Supervision-based Information Bottleneck for
  Out-of-Distribution Generalization


A python implementation of Patchy-San Convolutional Network for Graph

Learning Convolutional Neural Networks for Graphs

A contribution to Optimal Transport on incomparable spaces

State of the Art and Potentialities of Graph-level Learning


mutation(barcode) caller for 10x single cell data

A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

Spatially resolved clonal copy number alterations in benign and malignant tissue

Genetic and Transcriptional Contributions to Relapse in Normal Karyotype Acute Myeloid Leukemia

Loss of SYNCRIP unleashes APOBEC-driven mutagenesis, tumor heterogeneity, and AR-targeted therapy resistance in prostate cancer

Early activation of inflammatory pathways in UBA1-mutated hematopoietic stem and progenitor cells in VEXAS


ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"

FedLab: A Flexible Federated Learning Framework

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Towards More Suitable Personalization in Federated Learning via
  Decentralized Partial Model Training

Supernet Training for Federated Image Classification under System
  Heterogeneity


PERIN is Permutation-Invariant Semantic Parser developed for MRP 2020

ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN

EventGraph: Event Extraction as Semantic Graph Parsing


Speech Signal Processing - a small collection of routines in Python to do signal processing

A Simple Continuous Pitch Estimation Algorithm

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

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

Speech vocoding for laboratory phonology


Code for all experiments.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Causal Semantic Representation for Out-of-Distribution Prediction

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine


Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for
  Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Sparse 3D Reconstruction via Object-Centric Ray Sampling


TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition (ACL 2021)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Efficient Intent Detection with Dual Sentence Encoders

Известия Самарского научного центра Российской академии наук


Generalization through Memorization: Nearest Neighbor Language Models

Nearest Neighbor Machine Translation

Efficient Nearest Neighbor Language Models

Capturing Structural Locality in Non-parametric Language Models


"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Domain-Adversarial Training of Neural Networks

Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization


v1.5 and v1.6 OCPP implementation in Golang


Repository for all AMR preprocessing and postprocessing scripts

Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations

Improving AMR Parsing with Sequence-to-Sequence Pre-training

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

Dealing with Co-reference in Neural Semantic Parsing

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation

Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution

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

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics


BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media

Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification

Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study

European psychiatry : the journal of the Association of European Psychiatrists

Adaptation of domain-specific transformer models with text oversampling
  for sentiment analysis of social media posts on Covid-19 vaccines


The official implementation for  ECCV22 paper: "FOSTER: Feature Boosting and  Compression for Class-Incremental Learning" in PyTorch.

Dynamic Residual Classifier for Class Incremental Learning

CL2R: Compatible Lifelong Learning Representations

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications


Two simple and effective designs of vision transformer, which is on par with the Swin transformer

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision
  Transformers


Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

Score-Based Generative Models for Robust Channel Estimation

Deep Diffusion Models for Robust Channel Estimation.


This is the repository to the paper "Flow based video matting" by Zijian Kuang and Xinran Tie. We proposed to use optical flow and UNet to generate a refined mask for video matting purpose.

U-Net: Convolutional Networks for Biomedical Image Segmentation

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Flow-based Video Segmentation for Human Head and Shoulders

FUNet: Flow Based Conference Video Background Subtraction


Periodic time series analysis tools based on information theory

Gamma-ray and optical oscillations of 0716+714, MRK 421, and BL Lacertae

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

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

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

VLA/Realfast Detection of a Burst from FRB 180916.J0158+65 and Tests for Periodic Activity

A random forest-based selection of optically variable AGN in the VST-COSMOS field

Monitoring observations of SMC X-1's excursions (MOOSE)–I. Programme description and initial high state spectral results

Monthly notices of the Royal Astronomical Society

Persistent and occasional: Searching for the variable population of the ZTF/4MOST sky using ZTF Data Release 11


source code for ICLR'23 paper "Non-parametric Outlier Synthesis"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Non-Parametric Outlier Synthesis


CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection

Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics

IEEE transactions on intelligent transportation systems

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]

Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions


Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

Certified Reinforcement Learning with Logic Guidance

LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning

Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees


REDItools are python scripts to investigate RNA editing at genomic scale.

REDIportal: millions of novel A-to-I RNA editing events from thousands of RNAseq experiments

A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects

Exploring Additional Valuable Information From Single-Cell RNA-Seq Data

Frontiers in cell and developmental biology


Creative Commons Attribution Share Alike 4.0 International

The FLORES+ Machine Translation Benchmark

IndicTrans2: Towards High-Quality and Accessible Machine Translation
  Models for all 22 Scheduled Indian Languages


A MINiscope 1-photon-based Calcium Imaging Signal Extraction PIPEline.

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

Lateral hypothalamic LEPR neurons drive appetitive but not consummatory behaviors

Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data

Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice


Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

IEEE transactions on geoscience and remote sensing

TOV: The Original Vision Model for Optical Remote Sensing Image
  Understanding via Self-supervised Learning

FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image

Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification

IEEE geoscience and remote sensing letters

GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation


Matlab codes for integrating the normal (gradient) field of a surface over a 2D grid

Normal Integration: A Survey

Variational Methods for Normal Integration

A CNN Based Approach for the Near-Field Photometric Stereo Problem

A CNN Based Approach for the Point-Light Photometric Stereo Problem

International journal of computer vision


3D massively parallel general relativictic MHD code HARMPI

Long-term GRMHD simulations of neutron star merger accretion discs: implications for electromagnetic counterparts

The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project

The disc-jet symbiosis emerges: Modelling the emission of Sagittarius A* with electron thermodynamics

The role of magnetic field geometry in the evolution of neutron star merger accretion discs

Accelerating AGN jets to parsec scales using general relativistic MHD simulations

Sgr A* near-infrared flares from reconnection events in a magnetically arrested disc

EM counterparts of structured jets from 3D GRMHD simulations

Monthly Notices of the Royal Astronomical Society: Letters

General-relativistic Simulations of Four States of Accretion onto Millisecond Pulsars

A parameter survey of Sgr A* radiative models from GRNIHD simulations with self-consistent electron heating

What really makes an accretion disc MAD


Python module for performing linear regression for data with measurement errors and intrinsic scatter

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

Black Hole Mass Scaling Relations for Early-Type Galaxies:
  M_BH-M_*,sph and M_BH-M_*,gal

Black Hole Mass Scaling Relations for Spiral Galaxies. I. M BH -M *,sph

Graph-based interpretation of the molecular interstellar medium segmentation

Black Hole Mass Scaling Relations for Spiral Galaxies. II. M-BH-M*,tot and M-BH-M-*,M-disk

Revealing Hidden Substructures in the M BH ─σ Diagram, and Refining the Bend in the L─σ Relation

Helium abundance in a sample of cool stars: measurements from asteroseismology

An accurate measurement of the baryonic Tully-Fisher relation with heavily gas-dominated ALFALFA galaxies

A Consistent Set of Empirical Scaling Relations for Spiral Galaxies: The (vmax, MoM)–(σ0, MBH, ϕ) Relations

On the relation between mini-halos and AGN feedback in clusters of galaxies


Hierarchical Graph Representation Learning with Differentiable Pooling

Spectral Clustering with Graph Neural Networks for Graph Pooling

Rethinking pooling in graph neural networks

Memory-Based Graph Networks


Meteor Automatic Translation Evaluation System

Enhancing AMR-to-Text Generation with Dual Graph Representations

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting

VALHALLA: Visual Hallucination for Machine Translation

Towards User-Driven Neural Machine Translation

Neural Machine Translation of Literary Texts from English to Slovene


A versatile aligning pipeline for bisulfite sequencing data

Introduction to Single-Cell DNA Methylation Profiling Methods

Integrating Epigenomics into the Understanding of Biomedical Insight

Epigenetics and Early Life Stress: Experimental Brood Size Affects DNA Methylation in Great Tits (Parus major)


Read, manipulate and visualize 'Pairwise mApping Format' data in R

Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration

Lager Yeast Design Through Meiotic Segregation of a Saccharomyces cerevisiae × Saccharomyces eubayanus Hybrid


RE3: State Entropy Maximization with Random Encoders for Efficient Exploration

Reward Uncertainty for Exploration in Preference-based Reinforcement
  Learning

Rewarding Episodic Visitation Discrepancy for Exploration in
  Reinforcement Learning

Accelerating Reinforcement Learning with Value-Conditional State Entropy
  Exploration

Tackling Visual Control via Multi-View Exploration Maximization

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement
  Learning


Goalign is a set of command line tools and an API to manipulate multiple sequence alignments. It is implemented in Go language.

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

A Structurally-Validated Multiple Sequence Alignment of 497 Human Protein Kinase Domains

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

Comparative Performance of Popular Methods for Hybrid Detection using Genomic Data

Mirusviruses link herpesviruses to giant viruses

Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy

Genomic Epidemiology and Strain Taxonomy of Corynebacterium diphtheriae

Combining Phylogenetic and Network Approaches to Identify HIV-1 Transmission Links in San Mateo County, California

Cuban history of CRF19 recombinant subtype of HIV-1


NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Graph Neural Convection-Diffusion with Heterophily

Revisiting Signed Propagation for Multi-Class Graph Neural Networks


Simple stochastic weight averaging callback for Keras

Averaging Weights Leads to Wider Optima and Better Generalization

Snapshot Ensembles: Train 1, get M for free

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs


RetroSeq is a bioinformatics tool that searches for mobile element insertions from aligned reads in a BAM file and a library of reference transposable elements. Please read the wiki page (link below) for usage instructions. Also, there is a page on the wiki describing how the 1000 genomes CEU trio was carried out with the files and parameters used for the various steps.

RetroSeq: transposable element discovery from next-generation sequencing data

The genomic landscape shaped by selection on transposable elements across 18 mouse strains

Enhanced structural variant and breakpoint detection using SVMerge by integration of multiple detection methods and local assembly

TEMP: a computational method for analyzing transposable element polymorphism in populations

On the Population Dynamics of Junk: A Review on the Population Genomics of Transposable Elements

Sequencing and characterization of the FVB/NJ mouse genome

Spatiotemporal variations in retrovirus-host interactions among Darwin’s finches

Young SINEs in pig genomes impact gene regulation, genetic diversity, and complex traits


Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Double/debiased machine learning for treatment and structural parameters

Machine Learning: An Applied Econometric Approach

The journal of economic perspectives/The Journal of economic perspectives

Human Decisions and Machine Predictions

Inference on Treatment Effects after Selection among High-Dimensional Controls

Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Characterizing the spatial structure of defensive skill in professional basketball


A neural approach to malware detection in portable executables

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Longformer: The Long-Document Transformer

Malware Detection by Eating a Whole EXE

Learning the PE Header, Malware Detection with Minimal Domain Knowledge

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security


Grounded SCAN data set.

A Benchmark for Systematic Generalization in Grounded Language Understanding

ReaSCAN: Compositional Reasoning in Language Grounding

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?

Think before you act: A simple baseline for compositional generalization


Massively parallel phylogenetic placement of genetic sequences

EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences

Hyperdiverse archaea near life limits at the polyextreme geothermal Dallol area

From microbial community structure to metabolic inference using paprica

Serovar-level identification of bacterial foodborne pathogens from full-length 16S rRNA gene sequencing


NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Geometry-Aware Gradient Algorithms for Neural Architecture Search

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation

Zero-Cost Operation Scoring in Differentiable Architecture Search


Deflecting Adversarial Attacks with Pixel Deflection

On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks


UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


Sequence-to-sequence models for AMR parsing and generation

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

Structural Neural Encoders for AMR-to-text Generation

Improving Neural Machine Translation with AMR Semantic Graphs

Using Semantic Role Labeling to Improve Neural Machine Translation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


Code for the paper: RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms

MixMatch: A Holistic Approach to Semi-Supervised Learning

Unsupervised Data Augmentation for Consistency Training


Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Deep Roto-Translation Scattering for Object Classification

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

Automatic Clipping: Differentially Private Deep Learning Made Easier and
  Stronger

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy


This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".

Dense Passage Retrieval for Open-Domain Question Answering

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

Bridging the Gap Between Indexing and Retrieval for Differentiable
  Search Index with Query Generation

SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering

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

Synthetic Cross-language Information Retrieval Training Data


Intrinsic evaluation of word vectors

Evaluating Word Embedding Models: Methods and Experimental Results

APSIPA transactions on signal and information processing

Evaluation of Word Vector Representations by Subspace Alignment

Empirical Methods in Natural Language Processing

Morphological Priors for Probabilistic Neural Word Embeddings

Correlation-based Intrinsic Evaluation of Word Vector Representations

Relational Word Embeddings

Cross-Lingual Syntactically Informed Distributed Word Representations

Conference of the European Chapter of the Association for Computational Linguistics

What do self-supervised speech models know about words?

Explaining Word Embeddings via Disentangled Representation

International Joint Conference on Natural Language Processing


BlockSim: An Extensible Simulation Tool forBlockchain Systems

BlockSim: An Extensible Simulation Tool for Blockchain Systems

Blockchain Simulators: A Systematic Mapping Study

An In-Depth Review on Blockchain Simulators for IoT Environments

Towards Practical Applications in Modeling Blockchain System


This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Crack Segmentation on UAS-based Imagery using Transfer Learning

Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture

Intelligent automation and soft computing/Intelligent automation & soft computing

Manifolds for Unsupervised Visual Anomaly Detection

Fine-tuning vision foundation model for crack segmentation in civil
  infrastructures


Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Pre-trained models for natural language processing: A survey

Revisiting Pre-Trained Models for Chinese Natural Language Processing

OCNLI: Original Chinese Natural Language Inference

Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection

A Chinese Named Entity Recognition Method Based on ERNIE-BiLSTM-CRF for Food Safety Domain

Conceptualized Representation Learning for Chinese Biomedical Text
  Mining

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

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

KR-BERT: A Small-Scale Korean-Specific Language Model


Automates running of OrthoMCL software from http://orthomcl.org/common/downloads/software/v2.0/

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

ShadowCaster: Compositional Methods under the Shadow of Phylogenetic Models to Detect Horizontal Gene Transfers in Prokaryotes

High-quality Cymbidium mannii genome and multifaceted regulation of crassulacean acid metabolism in epiphytes

Evolutionary history of two evergreen Rhododendron species as revealed by chromosome-level genome assembly

Comparative genomics reveals putative evidence for high-elevation adaptation in the American pika (Ochotona princeps)


multi-dimensional statistical test with python

The First CHIME/FRB Fast Radio Burst Catalog

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

Extended stellar systems in the solar neighborhood

The Pristine Survey – VIII. The metallicity distribution function of the Milky Way halo down to the extremely metal-poor regime

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

Low-mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3: Mapping the star forming regions within 1.5 kpc

An observational correlation between magnetic field, angular momentum and fragmentation in the envelopes of Class 0 protostars?

Stellar Spins in the Pleiades, Praesepe, and M35 Open Clusters

Disc–jet coupling changes as a possible indicator for outbursts from GX 339−4 remaining within the X-ray hard state

Monthly notices of the Royal Astronomical Society

An enquiry on the origins of N-rich stars in the inner Galaxy based on APOGEE chemical compositions

Re-examining the evidence of the Hercules–Corona Borealis Great Wall


A large labelled image dataset for benchmarking in federated learning

Deep Learning with Differential Privacy

Learning Differentially Private Recurrent Language Models

Differentially Private Learning with Adaptive Clipping

FLAIR: Federated Learning Annotated Image Repository


A dataset containing human-human knowledge-grounded open-domain conversations.

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

Zero-Resource Knowledge-Grounded Dialogue Generation

Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems

Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality

Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue


FMA: A Dataset For Music Analysis

FMA: A Dataset For Music Analysis

EnCoD: Distinguishing Compressed and Encrypted File Fragments

MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

Reliable detection of compressed and encrypted data

Learning to Recognize Musical Genre from Audio

Nyström Kernel Mean Embeddings

An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task

Transactions of the International Society for Music Information Retrieval

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Classical Music Specific Mood Automatic Recognition Model Proposal

LLark: A Multimodal Instruction-Following Language Model for Music


Massively Multilingual Transfer for NER

Massively Multilingual Transfer for NER

Mitigating Language-Dependent Ethnic Bias in BERT

Improving Multilingual Models with Language-Clustered Vocabularies

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Multilingual NER Transfer for Low-resource Languages.


Audio Captioning datasets for PyTorch.

Clotho: An Audio Captioning Dataset

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for
  Audio-Language Multimodal Research

CoNeTTE: An efficient Audio Captioning system leveraging multiple
  datasets with Task Embedding


dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE transactions on knowledge and data engineering

DynamicGEM: A Library for Dynamic Graph Embedding Methods

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

Incremental embedding for temporal networks


PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Unprocessing Images for Learned Raw Denoising

Deep Burst Super-Resolution

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts


Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Faithful Chain-of-Thought Reasoning

Learning Reasoning Strategies in End-to-End Differentiable Proving

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Measuring Systematic Generalization in Neural Proof Generation with Transformers

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Differentiable Reasoning over Long Stories -- Assessing Systematic
  Generalisation in Neural Models


A Multilingual Replicable Instruction-Following Model

Bactrian-X: Multilingual Replicable Instruction-Following Models with
  Low-Rank Adaptation

Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction


ConvNet training using pytorch

Scalable Methods for 8-bit Training of Neural Networks

Norm matters: efficient and accurate normalization schemes in deep networks

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

Fix your classifier: the marginal value of training the last weight layer

Untangling the Galaxy. II. Structure within 3 kpc

Untangling the Galaxy. III. Photometric Search for Pre-main-sequence Stars with Deep Learning

MixSize: Training Convnets With Mixed Image Sizes for Improved Accuracy, Speed and Scale Resiliency

PocketNN: Integer-only Training and Inference of Neural Networks via
  Direct Feedback Alignment and Pocket Activations in Pure C++


a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

A Self Validation Network for Object-Level Human Attention Estimation

Flow-based Video Segmentation for Human Head and Shoulders

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information

FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving


Data and analysis for 'Machine Bias'

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

Towards Robust Interpretability with Self-Explaining Neural Networks

Machine Learning Testing: Survey, Landscapes and Horizons

Fairness in Machine Learning

Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review

Measuring Fairness in Ranked Outputs

Model-Agnostic Counterfactual Explanations for Consequential Decisions

From Parity to Preference-based Notions of Fairness in Classification

Fairness in Deep Learning: A Computational Perspective

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation


This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

The evolution, evolvability and engineering of gene regulatory DNA

LegNet: a best-in-class deep learning model for short DNA regulatory regions

A comprehensive fitness landscape model reveals the evolutionary history and future evolvability of eukaryotic cis-regulatory DNA sequences

CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets


Code and website for Behavior Transformers: Cloning k modes with one stone.

From Play to Policy: Conditional Behavior Generation from Uncurated
  Robot Data

RoboAgent: Generalization and Efficiency in Robot Manipulation via
  Semantic Augmentations and Action Chunking


Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)


Implementation for "Large-scale Pretraining for Visual Dialog"  https://arxiv.org/abs/1912.02379

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions

Enriching Language Models with Visually-grounded Word Vectors and the Lancaster Sensorimotor Norms

Proceedings of the 25th Conference on Computational Natural Language Learning

Modeling Coreference Relations in Visual Dialog


The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Transformers in Time Series: A Survey

One Fits All:Power General Time Series Analysis by Pretrained LM


Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Performance Optimization of Federated Person Re-identification via Benchmark Analysis

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

EasyFL: A Low-Code Federated Learning Platform for Dummies

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications


Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)

A Decomposable Attention Model for Natural Language Inference

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference

Changing the Geometry of Representations: α-Embeddings for NLP Tasks


[ICCV 2021] MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

Spatio-Temporal Action Detection Under Large Motion


UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

Arabic fake news detection based on deep contextualized embedding models

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis

Workshop on Arabic Natural Language Processing

A Weak Supervised Transfer Learning Approach for Sentiment Analysis to the Kuwaiti Dialect


Module for measuring feature dependence for black-box models

Aequitas: A Bias and Fairness Audit Toolkit

Algorithmic fairness in computational medicine

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.

Recent advances and applications of deep learning methods in materials science

Machine Learning the Quantum-Chemical Properties of Metal–Organic Frameworks for Accelerated Materials Discovery with a New Electronic Structure Database

Benchmarking Graph Neural Networks for Materials Chemistry

Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering


Creative Commons Attribution 4.0 International

Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.

Benchmarking Natural Language Understanding Services for building Conversational Agents

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

Composed Variational Natural Language Generation for Few-shot Intents

Intent Mining from past conversations for conversational agent

LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations

One System to Rule them All: a Universal Intent Recognition System for
  Customer Service Chatbots

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss


Long-read mock community experiments

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

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

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

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

Wochenende - modular and flexible alignment-based shotgun metagenome analysis


TGN: Temporal Graph Networks

Temporal Graph Networks for Deep Learning on Dynamic Graphs

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library

Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA

A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction

Spectral Transform Forms Scalable Transformer

TIGER: Temporal Interaction Graph Embedding with Restarts

A Recommender for Research Collaborators Using Graph Neural Networks


Ukb: graph-based WSD and similarity

The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD

Studying the Wikipedia Hyperlink Graph for Relatedness and
  Disambiguation

Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness

Whom to Learn From? Graph- vs. Text-based Word Embeddings

Recent Advances in Natural Language Processing

Extraction of common conceptual components from multiple ontologies

Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation.

Word Sense Disambiguation Studio: A Flexible System for WSD Feature Extraction


Sentence aligner

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Building the Spanish-Croatian Parallel Corpus

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Applying a design mindset to develop a prototype of an electronic service for assessing the impact on the environment

Eastern-European journal of enterprise technologies

Providing a Catalogue of Language Resources for Commercial Users

Evaluating Sentence Alignment Methods in a Low-Resource Setting: An English-YorùBá Study Case

Proceedings of the The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)

El corpus paral·lel del Diari Oficial de la Generalitat de Catalunya

Aligning and extending technologies of parallel corpora for the Kazakh language


Certifiable Outlier-Robust Geometric Perception

TEASER: Fast and Certifiable Point Cloud Registration

Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

International Conference on Robotics and Automation

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

Optimal and Robust Category-Level Perception: Object Pose and Shape Estimation From 2-D and 3-D Semantic Keypoints


Simple yet SoTA Knowledge Graph Embeddings.

Convolutional 2D Knowledge Graph Embeddings

Canonical Tensor Decomposition for Knowledge Base Completion

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations

Answering Complex Logical Queries on Knowledge Graphs via Query
  Computation Tree Optimization


An implement R package to visualize GSEA results

Expression and regulatory characteristics of peripheral blood immune cells in primary Sjögren’s syndrome patients using single-cell transcriptomic

Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage

The Infiltration of Neutrophil Granulocytes Due to Loss of PTEN Was Associated with Poor Response to Immunotherapy in Renal Cell Carcinoma


Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)

Deep Learning on Graphs: A Survey

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


SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

MQAG: Multiple-choice Question Answering and Generation for Assessing
  Information Consistency in Summarization

INSIDE: LLMs' Internal States Retain the Power of Hallucination
  Detection


Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"

Hidden Trigger Backdoor Attacks

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

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

Poisoned classifiers are not only backdoored, they are fundamentally broken

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

Learning Graph Embeddings for Compositional Zero-shot Learning

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot
  Learning


Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

Deep Residual Learning for Image Recognition

Learning to Navigate Using Mid-Level Visual Priors

Contrast Sensitivity Function in Deep Networks


Re-implementation of the m-RNN model using TensorFLow

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

Self-Guiding Multimodal LSTM—When We Do Not Have a Perfect Training Dataset for Image Captioning


A data package containing lexicons and dictionaries for text analysis

Identifying the sentiment styles of YouTube's vloggers

Examining UK drill music through sentiment trajectory analysis

Linguistic features and psychological states: A machine-learning based approach

LexScore: A Semantic Approach to Scoring Domain Specific Sentiment Lexicons


3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison

Accurate Smartphone Indoor Visual Positioning Based on a High-Precision 3D Photorealistic Map

Parallel Structure From Motion for UAV Images via Weighted Connected Dominating Set

Ground Texture Based Localization Using Compact Binary Descriptors

A Monocular Visual Odometry Method Based on Virtual-Real Hybrid Map in Low-Texture Outdoor Environment

An Image-Based Real-Time Georeferencing Scheme for a UAV Based on a New Angular Parametrization


Rapid Profiling and Deconvolution Tool for Metagenomes

Mash: fast genome and metagenome distance estimation using MinHash

MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies

FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares

miComplete: weighted quality evaluation of assembled microbial genomes

Mash Sketched Reference Dataset for Genome-Based Taxonomy and Comparative Genomics


DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices
  for Full-Band Audio

HGCN: Harmonic gated compensation network for speech enhancement

Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement

TENET: A Time-reversal Enhancement Network for Noise-robust ASR

Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation

DDS: A new device-degraded speech dataset for speech enhancement


Project for paper "Learning 3D Human Dynamics from Video"

Learning 3D Human Dynamics from Video

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation


federated learning autonomous driving in CARLA simulation

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

Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

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


Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Deep Feature Consistent Variational Autoencoder

Weakly-Supervised Disentanglement Without Compromises

TVAE: Triplet-Based Variational Autoencoder using Metric Learning

Disentanglement of Correlated Factors via Hausdorff Factorized Support

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement


[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Imbalance Trouble: Revisiting Neural-Collapse Geometry

Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

Class Balancing GAN with a Classifier in the Loop

Learning to Re-weight Examples with Optimal Transport for Imbalanced
  Classification

Background Splitting: Finding Rare Classes in a Sea of Background

Decoupled Training for Long-Tailed Classification With Stochastic
  Representations


methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories

TOGA: A Neural Method for Test Oracle Generation

Proceedings of the 44th International Conference on Software Engineering

Methods2Test

Proceedings of the 19th International Conference on Mining Software Repositories

Unit Test Case Generation with Transformers and Focal Context

A Survey on Large Language Models for Software Engineering


Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Rethinking the Value of Network Pruning

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning


Easy to use scripts for evaluating word vectors on a variety of tasks.

Vector Embedding of Wikipedia Concepts and Entities

Modelling Lexical Ambiguity with Density Matrices

Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data

Tiny Word Embeddings Using Globally Informed Reconstruction

International Conference on Computational Linguistics

Multilingual Factor Analysis


Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”

Open source software in quantum computing

Efficient Decomposition of Unitary Matrices in Quantum Circuit Compilers

Approaching the theoretical limit in quantum gate decomposition


One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

On Measuring and Mitigating Biased Inferences of Word Embeddings

The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability


The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"

Exploring Plain Vision Transformer Backbones for Object Detection

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

VSA: Learning Varied-Size Window Attention in Vision Transformers


Whitening for Self-Supervised Representation Learning | Official repository

A Simple Framework for Contrastive Learning of Visual Representations

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

Backdoor Attacks on Self-Supervised Learning

An Investigation into Whitening Loss for Self-supervised Learning

A Survey on Self-Supervised Representation Learning

Learning Instance-Specific Augmentations by Capturing Local Invariances

Guarding Barlow Twins Against Overfitting with Mixed Samples


Rethinking Negative Sampling for Handling Missing Entity Annotations

LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes

Partial Annotation Learning for Biomedical Entity Recognition


FOTS Pytorch Implementation

FOTS: Fast Oriented Text Spotting with a Unified Network

Text Recognition in the Wild: A Survey

Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition


Complete tool for training &  classifying facies on 3D SEGY seismic using deep neural networks

70 years of machine learning in geoscience in review

Learning to label seismic structures with deconvolution networks and weak labels

SEG technical program expanded abstracts

Shape Carving Methods of Geologic Body Interpretation from Seismic Data Based on Deep Learning

Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021


Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

Quantitatively Evaluating GANs With Divergences Proposed for Training

Co-Generation with GANs using AIS based HMC


The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes


BoNeSi - the DDoS Botnet Simulator

A DDoS Attack Mitigation Scheme in ISP Networks Using Machine Learning Based on SDN

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning

International conference on Artificial intelligence and applications

Towards Detecting Flooding DDOS Attacks Over Software Defined Networks Using Machine Learning Techniques

MAN-EDoS: A Multihead Attention Network for the Detection of Economic Denial of Sustainability Attacks

Evaluation of Apache Spot's machine learning capabilities in an SDN/NFV enabled environment

Zenodo (CERN European Organization for Nuclear Research)

Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments

DDOS Botnets Attacks Detection in Anomaly Traffic: A Comparative Study.

Journal of Information Security and Cybercrimes Research

Two-Phase Deep Learning-Based EDoS Detection System


Voice Conversion Challenge 2020 CycleVAE baseline system

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

Voice Conversion Challenge 2020 –- Intra-lingual semi-parallel and cross-lingual voice conversion –-

Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN


Predictive Image Registration

An overview of deep learning in medical imaging focusing on MRI

Quicksilver: Fast predictive image registration – A deep learning approach

DeepFLASH: An Efficient Network for Learning-based Medical Image Registration


Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

On Calibration of Modern Neural Networks

Verified Uncertainty Calibration

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Hidden Heterogeneity: When to Choose Similarity-Based Calibration

Distribution-Free Statistical Dispersion Control for Societal
  Applications


Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

Stochastic Optimization of Sorting Networks via Continuous Relaxations

Abductive Knowledge Induction From Raw Data

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics


Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

Implicit Neural Representations for Image Compression

Critical Regularizations for Neural Surface Reconstruction in the Wild

Dynamic Point Fields

Learning Continuous Implicit Representation for Near-Periodic Patterns

Neural Poisson: Indicator Functions for Neural Fields

Lossy compression of multidimensional medical images using sinusoidal
  activation networks: an evaluation study

Generative Neural Fields by Mixtures of Neural Implicit Functions

Machine learning in solar physics


Tools for Speech Enhancement integrated with Kaldi

Time Domain Audio Visual Speech Separation

DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation,
  Enhancement and Separation

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement

Improved Speaker-Dependent Separation for CHiME-5 Challenge


End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.

Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models

Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition

Recognition of Handwritten Chinese Text by Segmentation: A Segment-Annotation-Free Approach

High Performance Offline Handwritten Chinese Text Recognition with a New Data Preprocessing and Augmentation Pipeline

Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks

Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition


Inferring and visualizing clonal evolution in multi-sample cancer sequencing

Visualizing tumor evolution with the fishplot package for R

Dynamic Changes in the Clonal Structure of MDS and AML in Response to Epigenetic Therapy

Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases

Single-cell analysis based dissection of clonality in myelofibrosis

The clonal evolution of metastatic colorectal cancer

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Novel mutational landscapes and expression signatures of lung squamous cell carcinoma

Mutational dynamics and immune evasion in diffuse large B-cell lymphoma explored in a relapse-enriched patient series

Proteogenomics decodes the evolution of human ipsilateral breast cancer


DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

Variational image compression with a scale hyperprior

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

IEEE journal of selected topics in signal processing

Efficient Video Compression via Content-Adaptive Super-Resolution

Neural Video Compression using GANs for Detail Synthesis and Propagation

Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video

Video Coding Using Learned Latent GAN Compression


A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

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

One TTS Alignment To Rule Them All

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech


The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

Few-Shot Classification with Feature Map Reconstruction Networks

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

Are Few-shot Learning Benchmarks Too Simple ?

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification

Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization


Generating room impulse responses

Broadband doa estimation using convolutional neural networks trained with noise signals

Workshop on Applications of Signal Processing to Audio and Acoustics

ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration

Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise.

Deep ad-hoc beamforming

Single-molecule binding characterization of primosomal protein PriA involved in replication restart

Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics

Multi-Source DOA Estimation Through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield

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

Spatial and spectral deep attention fusion for multi-channel speech
  separation using deep embedding features

Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays


Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition

IEEE transactions on affective computing

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

A Comprehensive Review on Lane Marking Detection Using Deep Neural Networks

Data selection for efficient model update in federated learning


Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Hindsight Experience Replay

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling


DRAGEN open-source mapper

Scalable and efficient DNA sequencing analysis on different compute infrastructures aiding variant discovery

The reference genome of the paradise fish (Macropodus opercularis).

bioRxiv : the preprint server for biology


Easy generative modeling in PyTorch.

Auto-Encoding Variational Bayes

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Neural Discrete Representation Learning

A Neural Algorithm of Artistic Style

Pixel Recurrent Neural Networks

Conditional Image Generation with PixelCNN Decoders

NICE: Non-linear Independent Components Estimation

Generating Diverse High-Fidelity Images with VQ-VAE-2

Generative Pretraining from Pixels

International Conference on Machine Learning

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention


Recurrent Neural Network Regularization

Theano: A Python framework for fast computation of mathematical expressions

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Minimal Gated Unit for Recurrent Neural Networks

国际自动化与计算杂志：英文版

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Learning Private Neural Language Modeling with Attentive Aggregation

International Joint Conference on Neural Network

SYSTRAN's Pure Neural Machine Translation Systems

rnn : Recurrent Library for Torch

Direct Output Connection for a High-Rank Language Model

Character n-gram Embeddings to Improve RNN Language Models


[ECCV 2020] PyTorch code for XML on TVRetrieval dataset - TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Learning a Text-Video Embedding from Incomplete and Heterogeneous Data

ExCL: Extractive Clip Localization Using Natural Language Descriptions

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

AssistSR: Affordance-centric Question-driven Video Segment Retrieval

Finding Moments in Video Collections Using Natural Language


[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

TPE: Towards Better Compositional Reasoning over Conceptual Tools with
  Multi-persona Collaboration

Retrieval Oriented Masking Pre-training Language Model for Dense Passage
  Retrieval

Large Language Models as Source Planner for Personalized
  Knowledge-grounded Dialogue

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems


Inference algorithms for models based on Luce's choice axiom

Designing gamified rewards to encourage repeated app selection: Effect of reward placement

International journal of human-computer studies

Measuring and Improving Semantic Diversity of Dialogue Generation

"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops

A Spectral Approach to Item Response Theory

Feedback Loops With Language Models Drive In-Context Reward Hacking

Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data

Preference Elicitation as Average-Case Sorting

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

Efficient and Accurate Learning of Mixtures of Plackett-Luce Models


Proper scoring rules in Python

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

A multi-model ensemble Kalman filter for data assimilation and
  forecasting

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic
  Hierarchical Time Series Forecasting

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts
  using Conditional Invertible Neural Networks

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical
  Information


Physical adversarial attack for fooling the Faster R-CNN object detector

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

SoK: On the Semantic AI Security in Autonomous Driving

Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using
  CARLA

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook


A dataset constructed for single-frame infrared small target detection

Attentional Local Contrast Networks for Infrared Small Target Detection

AFFPN: Attention Fusion Feature Pyramid Network for Small Infrared Target Detection

IRSTFormer: A Hierarchical Vision Transformer for Infrared Small Target Detection

Lightweight Multimechanism Deep Feature Enhancement Network for Infrared Small-Target Detection

CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection


Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Multi-Head Adapter Routing for Cross-Task Generalization

Towards Foundation Models for Learning on Tabular Data

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning

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

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models


Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning

Learning Representations for Pixel-based Control: What Matters and Why?


ACL'2020: Biomedical Entity Representations with Synonym Marginalization

Self-Alignment Pretraining for Biomedical Entity Representations

BERN2: an advanced neural biomedical named entity recognition and normalization tool

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models

International Conference on Computational Linguistics

Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

RuCCoN: Clinical Concept Normalization in Russian

Findings of the Association for Computational Linguistics: ACL 2022

BELB: a Biomedical Entity Linking Benchmark

Scalable Few-Shot Learning of Robust Biomedical Name Representations

Workshop on Biomedical Natural Language Processing


Repository to store conditional imitation learning based AI that runs on CARLA.

End-to-end Driving via Conditional Imitation Learning

VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective


A Novel Approximate Adder Design Using Error Reduced Carry Prediction and Constant Truncation

An Internal Cluster Validity Index Using a Distance-based Separability Measure

A Comparative Quantitative Analysis of Contemporary Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry

COREA: Delay- and Energy-Efficient Approximate Adder Using Effective Carry Speculation

Adaptive Nonparametric Clustering

Selecting the Number of Clusters K with a Stability Trade-off: an
  Internal Validation Criterion

Clustering performance analysis using a new correlation-based cluster validity index

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection.

A New Index for Clustering Evaluation Based on Density Estimation

A Critical Note on the Evaluation of Clustering Algorithms


IndicBART: A Pre-trained Model for Indic Natural Language Generation

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

YANMTT: Yet Another Neural Machine Translation Toolkit

NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages

CreoleVal: Multilingual Multitask Benchmarks for Creoles


Create timecourse "fish plots" that show changes in the clonal architecture of tumors

Visualizing tumor evolution with the fishplot package for R

The clonal evolution of metastatic colorectal cancer

Longitudinal therapy monitoring of ALK-positive lung cancer by combined copy number and targeted mutation profiling of cell-free DNA

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Characterization of SARS-CoV-2 viral diversity within and across hosts

A Journey Through Myeloma Evolution: From the Normal Plasma Cell to Disease Complexity

Genomic and evolutionary portraits of disease relapse in acute myeloid leukemia

Loss of COP9 signalosome genes at 2q37 is associated with IMiD resistance in multiple myeloma

Lorlatinib and compound mutations in ALK+ large-cell neuroendocrine lung carcinoma: a case report

Cold Spring Harbor molecular case studies

Modeling the consequences of heterogeneity in microbial population dynamics


Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Skill-Based Few-Shot Selection for In-Context Learning

Using LLM to select the right SQL Query from candidates

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


markov clustering in python

manta: a Clustering Algorithm for Weighted Ecological Networks

Sex-Specific Neural Networks of Cued Threat Conditioning: A Pilot Study

VOLTA: adVanced mOLecular neTwork Analysis

Newfound Coding Potential of Transcripts Unveils Missing Members of Human Protein Communities


DAGMM Tensorflow implementation

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data

Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

A^3: Activation Anomaly Analysis

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT II

Time-Series Anomaly Detection with Implicit Neural Representation

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

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

Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data


Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

TabPFN: A Transformer That Solves Small Tabular Classification Problems
  in a Second

Transformers Can Do Bayesian Inference

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates


Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review

Any unique image biomarkers associated with COVID-19?

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study


Heuristic based boilerplate removal tool

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

Adapting taggers to Twitter with not-so-distant supervision

A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language
  Models

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

FinGPT: Large Generative Models for a Small Language

Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums


Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Evaluating the Adversarial Robustness of Adaptive Test-time Defenses

Consistency Regularization for Adversarial Robustness

Efficient and Effective Augmentation Strategy for Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness

Smoothness Analysis of Adversarial Training

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial
  Training


Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of
  Text Contents and Styles


Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance

IEEE transactions on computer-aided design of integrated circuits and systems

LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning

Traffic Lane Detection using FCN


Independent JPEG Group's JPEG software

A Classification Engine for Image Ballistics of Social Data

Optimizing JPEG Quantization for Classification Networks

Adjusted JPEG Quantization Tables in Support of GPS Maps

Estimating Previous Quantization Factors on Multiple JPEG Compressed Images

In-Depth DCT Coefficient Distribution Analysis for First Quantization Estimation


Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"

EfficientNetV2: Smaller Models and Faster Training

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search


ITAコーパスの文章リスト

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

Text-to-speech synthesis from dark data with evaluation-in-the-loop data
  selection

Mid-attribute speaker generation using optimal-transport-based
  interpolation of Gaussian mixture models


Graph convolutional recurrent neural network

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Representation Learning for Dynamic Graphs: A Survey

Environment-Aware Dynamic Graph Learning for Out-of-Distribution
  Generalization


SatMAE: Pre-training Transformers for Temporal and Multi-Spectral
  Satellite Imagery

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

Contrastive Adapters for Foundation Model Group Robustness

Efficient Classification of Very Large Images with Tiny Objects

CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE geoscience and remote sensing magazine


Computation of the semantic interpretability of topics produced by topic models.

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

Conference of the European Chapter of the Association for Computational Linguistics

Coherence-Aware Neural Topic Modeling

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

Zika discourse in the Americas: A multilingual topic analysis of Twitter

On Poetic Topic Modeling: Extracting Themes and Motifs From a Corpus of Spanish Poetry

Nonparametric Topic Modeling with Neural Inference

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics


Estimate the total emissions for popular CryptoArt platforms.


Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems

Findings of the Association for Computational Linguistics: EMNLP 2021


UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Visualizing Large-scale and High-dimensional Data

TriMap: Large-scale Dimensionality Reduction Using Triplets

Fast Eigenspace Approximation using Random Signals

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding

Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional
  Data : Experiments and Analyses

Stochastic cluster embedding

DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements

An Analytical Survey on Recent Trends in High Dimensional Data Visualization.


STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Social Attention: Modeling Attention in Human Crowds

International Conference on Computer Vision

Human Trajectory Prediction via Counterfactual Analysis


Learning and Building Convolutional Neural Networks using PyTorch

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

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

MobileNetV2: Inverted Residuals and Linear Bottlenecks

YOLOv3: An Incremental Improvement


Index repo for Kimera code

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

The international journal of robotics research

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research.

RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments

Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities From Visual SLAM

gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments

A Versatile Keyframe-Based Structureless Filter for Visual Inertial
  Odometry


Data and Code for Program of Thoughts (TMLR 2023)

Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks

Natural Language Embedded Programs for Hybrid Language Symbolic
  Reasoning

Zero-Shot Question Answering over Financial Documents using Large
  Language Models


Principled Detection of Out-of-Distribution Examples in Neural Networks

Densely Connected Convolutional Networks

Wide Residual Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Learning Confidence for Out-of-Distribution Detection in Neural Networks

A Variational Dirichlet Framework for Out-of-Distribution Detection

A Call to Reflect on Evaluation Practices for Failure Detection in Image
  Classification

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets.

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.

Conservative Prediction via Data-Driven Confidence Minimization


Neural Essay Assessor: An Automated Essay Scoring System Based on Deep Neural Networks

A Neural Approach to Automated Essay Scoring

Empirical Methods in Natural Language Processing

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

A Trait-based Deep Learning Automated Essay Scoring System with Adaptive Feedback

International journal of advanced computer science and applications/International journal of advanced computer science & applications

Neural Multi-task Learning in Automated Assessment

Fine-grained essay scoring of a complex writing task for native speakers

Workshop on Innovative Use of NLP for Building Educational Applications

Thank “Goodness”! A Way to Measure Style in Student Essays

NATURAL LANGUAGE PROCESSING TECHNIQUES FOR EDUCATIONAL APPLICATIONS


A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

North American Chapter of the Association for Computational Linguistics

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

A Re-evaluation of Knowledge Graph Completion Methods

GreenKGC: A Lightweight Knowledge Graph Completion Method


Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best Paper Finalist)

Shifting More Attention to Video Salient Object Detection

Advances in Deep Concealed Scene Understanding