ThermoElectric is a computational framework that computes electron transport coefficients.

Mitigating the Effect of Nanoscale Porosity on Thermoelectric Power Factor of Si

Enhanced Thermoelectric Performance of Polycrystalline Si0.8Ge0.2 Alloys through the Addition of Nanoscale Porosity

Enhanced thermoelectric ZT in the tails of the Fermi distribution via electron filtering by nanoinclusions: Model electron transport in nanocomposites


DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting

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

ADePT: Auto-encoder based Differentially Private Text Transformation

When differential privacy meets NLP: The devil is in the detail


Comparing genomic and epigenomic features across species using the WashU Comparative Epigenome Browser

Ancient AMY1 gene duplications primed the amylase locus for adaptive evolution upon the onset of agriculture.

bioRxiv : the preprint server for biology


The open-source solutions of FourCastNet and GraphCast

FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators

GraphCast: Learning skillful medium-range global weather forecasting

Foundation Models for Weather and Climate Data Understanding: A
  Comprehensive Survey


Collection of links and information about COVID-19

Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

Aerosol and surface stability of HCoV-19 (SARS-CoV-2) compared to SARS-CoV-1

Remdesivir for the Treatment of Covid-19 — Final Report

BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting

Safety and Efficacy of Single-Dose Ad26.COV2.S Vaccine against Covid-19

Thrombotic Thrombocytopenia after ChAdOx1 nCoV-19 Vaccination

Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020

Thrombosis and Thrombocytopenia after ChAdOx1 nCoV-19 Vaccination

Effectiveness of the BNT162b2 Covid-19 Vaccine against the B.1.1.7 and B.1.351 Variants

Pathologic Antibodies to Platelet Factor 4 after ChAdOx1 nCoV-19 Vaccination


Aero-Structural Optimization of Three-Dimensional Adaptive Wings with Embedded Smart Actuators

A method to construct reduced‐order parameter‐varying models

International journal of robust and nonlinear control

Data-driven nonlinear aeroelastic models of morphing wings for control

Proceedings. Mathematical, physical, and engineering sciences

Reduced-Order Dynamic Model of a Morphing Airborne Wind Energy Aircraft


GTNet:Guided Transformer Network for Detecting Human-Object Interactions

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

HOI Analysis: Integrating and Decomposing Human-Object Interaction

ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

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

Gtnet: guided transformer network for detecting human-object interactions


PyTorch implementation for "ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback" (https://arxiv.org/abs/2107.14035).

Induction Networks for Few-Shot Text Classification

Few-shot Text Classification with Distributional Signatures


The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Text Length Adaptation in Sentiment Classification


Various estimators of the infinite dimensional exponential family model

Density Estimation in Infinite Dimensional Exponential Families

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Denoising Score Matching with Random Fourier Features


Look Up Guild Information for Fungi in R

Full-Season Cover Crops and Their Traits That Promote Agroecosystem Services

Grazing lowers soil multifunctionality but boosts soil microbial network complexity and stability in a subtropical grassland of China

Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa

Altitudinal Variation Influences Soil Fungal Community Composition and Diversity in Alpine–Gorge Region on the Eastern Qinghai–Tibetan Plateau

Earthworm-invaded boreal forest soils harbour distinct microbial communities


Pretrained Biomedical Name Encoder

Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations

Conference of the European Chapter of the Association for Computational Linguistics

Scalable Few-Shot Learning of Robust Biomedical Name Representations

Workshop on Biomedical Natural Language Processing

Integrating Higher-Level Semantics into Robust Biomedical Name Representations

International Workshop on Health Text Mining and Information Analysis


ACM CHIL 2020:  "Survival Cluster Analysis"

Adversarial Time-to-Event Modeling

Survival Cluster Analysis

A Deep Variational Approach to Clustering Survival Data

Calibration and Uncertainty in Neural Time-to-Event Modeling

An Effective Meaningful Way to Evaluate Survival Models


A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Conference on Computer and Communications Security

Deep Leakage from Gradients

Model inversion attacks against collaborative inference

Asia-Pacific Computer Systems Architecture Conference

Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?

Unleashing the Tiger: Inference Attacks on Split Learning

FedBERT: When Federated Learning Meets Pre-training

ACM transactions on intelligent systems and technology

Advancements of federated learning towards privacy preservation: from
  federated learning to split learning

Combining split and federated architectures for efficiency and privacy in deep learning

Conference on Emerging Network Experiment and Technology

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

SplitEasy: A Practical Approach for Training ML models on Mobile Devices


A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is submitted to Scientific Reports (Nature) and the manuscript is uploaded to the arvix server(https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database( https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)

Real-time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm

Biomedical signal processing and control

Computer Vision For COVID-19 Control: A Survey

Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph

Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review

Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images

Superpixel-based Domain-Knowledge Infusion in Computer Vision.


MATLAB code for performing the coalescent embedding

A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities

Hydra: A method for strain-minimizing hyperbolic embedding of network-
  and distance-based data

Minimum curvilinear automata with similarity attachment for network
  embedding and link prediction in the hyperbolic space

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding

Model-independent embedding of directed networks into Euclidean and hyperbolic spaces


A fast and simple perlin noise generator using numpy

Accurate medium-range global weather forecasting with 3D neural networks

Euclid preparation: XVI. Exploring the ultra low-surface brightness Universe with Euclid/VIS

Visual Pre-training for Navigation: What Can We Learn from Noise?

FuXi-S2S: An accurate machine learning model for global subseasonal
  forecasts

Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning


Dataset of 11,072 radiocarbon dates from the Near East from the Late Pleistocene until the Late Holocene (15 - 1.5 cal. kyr BP).

Human responses and non-responses to climatic variations during the last Glacial-Interglacial transition in the eastern Mediterranean

Holocene regional population dynamics and climatic trends in the Near East: A first comparison using archaeo-demographic proxies

Collapse and continuity: A multi-proxy reconstruction of settlement organization and population trajectories in the Northern Fertile Crescent during the 4.2kya Rapid Climate Change event


Spacecraft Pose Estimation: Robust 2D and 3D-Structural Losses and Unsupervised Domain Adaptation by Inter-Model Consensus

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and
  on a 3D-Guided Loss Combination

IEEE transactions on aerospace and electronic systems


A Pytorch implementation of StarGAN-VC2

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion


Sponge Examples: Energy-Latency Attacks on Neural Networks

Energy-Latency Attacks via Sponge Poisoning

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training


A pytorch toolbox designed for experimentation using a generalization of the Resnet design.

Stable Architectures for Deep Neural Networks

Deep Neural Networks Motivated by Partial Differential Equations

Reversible Architectures for Arbitrarily Deep Residual Neural Networks


Evolve Me A Cluster of StarS

The devil is in the tails: the role of globular cluster mass evolution on stream properties

Monthly Notices of the Royal Astronomical Society

Towards an N-body model for the globular cluster M4

Monthly notices of the Royal Astronomical Society

A prescription and fast code for the long-term evolution of star clusters - III. Unequal masses and stellar evolution

The initial conditions of observed star clusters - I. Method description and validation


HybSeq Target Capture of 353 Protein Coding Genes in Any Angiosperm

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

New targets acquired: Improving locus recovery from the Angiosperms353 probe set

A nuclear target sequence capture probe set for phylogeny reconstruction of the charismatic plant family Bignoniaceae


Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift

Dense open-set recognition with synthetic outliers generated by Real NVP

Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data


Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss


DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

A Little Is Enough: Circumventing Defenses For Distributed Learning

ByzShield: An Efficient and Robust System for Distributed Training


[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

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

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

Energy-based Out-of-distribution Detection

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features


CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition

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

IEEE transactions on intelligent transportation systems

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


R package: TopDom - An efficient and Deterministic Method for identifying Topological Domains in Genomes

Loop extrusion as a mechanism for formation of DNA damage repair foci

Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers

Manipulation of TAD reorganization by chemical-dependent genome linking


Multi-faceted Video Moment Localizer

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

MAC: Mining Activity Concepts for Language-based Temporal Localization

Video Moment Localization using Object Evidence and Reverse Captioning


Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

Very Deep Convolutional Networks for Large-Scale Image Recognition

Texture Synthesis Using Convolutional Neural Networks

A survey of exemplar-based texture synthesis

High-Resolution Neural Texture Synthesis with Long-Range Constraints


The official homepage of the (outdated) COCO-Stuff 10K dataset.

Microsoft COCO: Common Objects in Context

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

COCO-Stuff: Thing and Stuff Classes in Context

LabelBank: Revisiting Global Perspectives for Semantic Segmentation

CARD: Semantic Segmentation with Efficient Class-Aware Regularized
  Decoder


WHAT-IF (Water, Hydropower, Agriculture Tool for Investment and Financing) decision support tool

WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the water-energy-food-climate nexus

Nexus vs. Silo Investment Planning Under Uncertainty


code for generating metrics of forest vertical structure from airborne LiDAR data


Multi-Stage Progressive Image Restoration

Restormer: Efficient Transformer for High-Resolution Image Restoration

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

MC-Blur: A Comprehensive Benchmark for Image Deblurring


Code for Multi Speaker Source Separation with neural networks, build with TensorFlow

CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization

Memory Time Span in LSTMs for Multi-Speaker Source Separation


Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation

Developmentally motivated emergence of compositional communication via template transfer.

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication


Light Field Saliency Detection with Deep Convolutional Networks

RGB-D Salient Object Detection: A Survey

Light field salient object detection: A review and benchmark


This repository contains our implementations for Shilling Attacks against Recommender Systems.

Attacking Recommender Systems with Augmented User Profiles

International Conference on Information and Knowledge Management

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

IEEE transactions on neural networks and learning systems

Practical Cross-System Shilling Attacks with Limited Access to Data

Single-User Injection for Invisible Shilling Attack against Recommender Systems


CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

SituatedGen: Incorporating Geographical and Temporal Contexts into
  Generative Commonsense Reasoning


The AUTOmated Photometry Of Transients (AutoPhOT) is a novel automated pipeline that is designed for rapid, publication-quality photometry of transients.

The Automated Photometry of Transients pipeline (AutoPhOT)

Photometric and spectroscopic evolution of the interacting transient AT 2016jbu(Gaia16cfr)

Optical polarization and spectral properties of the hydrogen-poor superluminous supernovae SN 2021bnw and SN 2021fpl

SN 2018bsz: significant dust formation in a nearby superluminous
  supernova

A long life of excess: The interacting transient SN 2017hcc

Photometric study of the late-time near-infrared plateau in Type Ia supernovae

Rapidly Evolving Transients in Archival ZTF Public Alerts

A Shock Flash Breaking Out of a Dusty Red Supergiant


An Optimized Nested TAD caller for Hi-C data

OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries

SpectralTAD: an R package for defining a hierarchy of topologically associated domains using spectral clustering

Hierarchical Domain Structure Reveals the Divergence of Activity among TADs and Boundaries


Code for Findings of ACL 2021 "Differential Privacy for Text Analytics via Natural Text Sanitization"

MedSTS: A Resource for Clinical Semantic Textual Similarity

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations

Findings of the Association for Computational Linguistics: ACL 2023


Implementation of Combat harmonization method with scikit-learn compatible format

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

Individual variation underlying brain age estimates in typical development

Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression


ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation

GLPanoDepth: Global-to-Local Panoramic Depth Estimation

Neural Contourlet Network for Monocular 360° Depth Estimation

IEEE transactions on circuits and systems for video technology


AMR Eager trained on English, German, Italian, Spanish and Chinese

An Incremental Parser for Abstract Meaning Representation

Cross-lingual Abstract Meaning Representation Parsing

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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

POTATO: exPlainable infOrmation exTrAcTion framewOrk


third generation spectral wave model WAM Cycle 6

Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches

The Impact of a Reduced High‐Wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea, and the Arctic Ocean

Wave boundary layer model in SWAN revisited

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Journal of marine science and engineering


Voice Activity Projection Models: Self-supervised learning of Turn-taking Events

Voice Activity Projection: Self-supervised Learning of Turn-taking Events

How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models

Real-time and Continuous Turn-taking Prediction Using Voice Activity
  Projection


Unsupervised Representation Learning for Singing Voice Separation

Learning Speaker Representations with Mutual Information

Unsupervised Interpretable Representation Learning for Singing Voice Separation

Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances


NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

Flamingo: a Visual Language Model for Few-Shot Learning

PaLI-X: On Scaling up a Multilingual Vision and Language Model

Generative Pretraining in Multimodality


BingleSeq - A user-friendly R package for Bulk and Single-cell RNA-Seq data analyses

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Gene ontology analysis for RNA-seq: accounting for selection bias

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

DEBrowser: interactive differential expression analysis and visualization tool for count data

Transfer of regulatory knowledge from human to mouse for functional genomic analysis

DEApp: an interactive web interface for differential expression analysis of next generation sequence data

The histone chaperone HIRA promotes the induction of host innate immune defences in response to HSV-1 infection

Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets

BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis


This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units


NeurIPS 2020, Debiased Contrastive Learning

A Simple Framework for Contrastive Learning of Visual Representations

Debiased Contrastive Learning

Self-Supervised Learning Disentangled Group Representation as Feature


ProSolo, variant calling from single cell DNA-seq data, or: bulk backing vocals for single cell solos.

Somatic variant calling from single-cell DNA sequencing data

Computational and structural biotechnology journal

Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo

ProSolo: Accurate Variant Calling from Single Cell DNA Sequencing Data


This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.

Bilateral Multi-Perspective Matching for Natural Language Sentences

PAWS: Paraphrase Adversaries from Word Scrambling

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


ENISALA. II. Distinct Star Formation and Active Galactic Nucleus Activity in Merging and Relaxed Galaxy Clusters

The First IFU Spectroscopic View of Shocked Cluster Galaxies

GLEAM: Galaxy Line Emission & Absorption Modeling


Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354

Distributional Reinforcement Learning via Moment Matching

Distributional Reinforcement Learning with Maximum Mean Discrepancy.


Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).

Constrained Update Projection Approach to Safe Policy Optimization

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement
  Learning


EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Residual Learning for Small-Footprint Keyword Spotting


[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

End-to-end Learning of Compressible Features

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

Supervised Compression for Resource-Constrained Edge Computing Systems


[NeurIPS2019] Chirality Nets for Human Pose Regression

3D human pose estimation in video with temporal convolutions and semi-supervised training

Equivariance Through Parameter-Sharing


Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Applied Federated Learning: Improving Google Keyboard Query Suggestions

FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients


Code and model for the AI City Challenge (CVPR 2022) Track 3 Action Detection (Naturalistic Driving Action Recognition)

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

The 6th AI City Challenge

Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)


OpenGL Powered Pretext Contact Map Viewer

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

The genome sequence of the Norway rat, Rattus norvegicus Berkenhout 1769

A Reference Genome Assembly of American Bison, Bison bison bison

The complete genome sequence of Eimeria tenella (Tyzzer 1929), a common gut parasite of chickens

The genome sequence of the common frog, Rana temporaria Linnaeus 1758

The genome sequence of the painted lady, Vanessa cardui Linnaeus 1758

The genome sequence of the red deer, Cervus elaphus Linnaeus 1758

The genome sequence of the common toad, Bufo bufo (Linnaeus, 1758)

The genome sequence of the harlequin ladybird, Harmonia axyridis (Pallas, 1773)

The genome sequence of the grey wolf, Canis lupus Linnaeus 1758


Two Routes to Scalable Credit Assignment without Weight Symmetry

Identifying Learning Rules From Neural Network Observables


Subdimensional Expansion for Multi-objective Multi-agent Path Finding

International Conference on Robotics and Automation

A Conflict-Based Search Framework for Multiobjective Multiagent Path Finding

Multi-objective Conflict-based Search Using Safe-interval Path Planning


NLM .nxml to text format conversion

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

Syntactic analyses and named entity recognition for PubMed and PubMed Central — up-to-the-minute

Meeting of the Association for Computational Linguistics

End-to-End System for Bacteria Habitat Extraction

Workshop on Biomedical Natural Language Processing

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing

Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome


A haplotype analysis toolkit for natural variation study.

CandiHap: a toolkit for haplotype analysis for sequence of samples and fast identification of candidate causal gene(s) in genome-wide association study

CandiHap: a haplotype analysis toolkit for natural variation study

Validation of Genes Affecting Rice Grain Zinc Content Through Candidate Gene-Based Association Analysis


Miscellaneous science/astronomy tools.

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. VI. Radio Constraints on a Relativistic Jet and Predictions for Late-time Emission from the Kilonova Ejecta

DISCOVERY OF AN OUTFLOW FROM RADIO OBSERVATIONS OF THE TIDAL DISRUPTION EVENT ASASSN-14li

Nine-hour X-ray quasi-periodic eruptions from a low-mass black hole galactic nucleus

PS16dtm: A Tidal Disruption Event in a Narrow-line Seyfert 1 Galaxy

Fifteen years of XMM-Newton and Chandra monitoring of Sgr A★: evidence for a recent increase in the bright flaring rate

Radio Monitoring of the Tidal Disruption Event Swift J164449.3+573451. III. Late-time Jet Energetics and a Deviation from Equipartition

A Reverse Shock and Unusual Radio Properties in GRB 160625B

EVIDENCE FOR A CO DESORPTION FRONT IN THE OUTER AS 209 DISK

A Radio Source Coincident with the Superluminous Supernova PTF10hgi: Evidence for a Central Engine and an Analog of the Repeating FRB 121102?

THE KEPLER-454 SYSTEM: A SMALL, NOT-ROCKY INNER PLANET, A JOVIAN WORLD, AND A DISTANT COMPANION


Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Media Forensics and DeepFakes: an overview

A Survey of Machine Learning Techniques in Adversarial Image Forensics

Adversarial Attack on Deep Learning-Based Splice Localization


Restormer: Efficient Transformer for High-Resolution Image Restoration

CycleISP: Real Image Restoration via Improved Data Synthesis

Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training


Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Hidden Trigger Backdoor Attacks

Denoised Smoothing: A Provable Defense for Pretrained Classifiers


Adversarial Learning for Neural Dialogue Generation

TextBugger: Generating Adversarial Text Against Real-world Applications

Proceedings 2019 Network and Distributed System Security Symposium

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation


Plant small RNA target prediction tool

Genome-Wide Identification of Circular RNAs in Arabidopsis thaliana

P-SAMS: a web site for plant artificial microRNA and synthetic trans-acting small interfering RNA design

Small RNAs from the wheat stripe rust fungus (Puccinia striiformis f.sp. tritici)

Whole-Transcriptome RNA Sequencing Reveals the Global Molecular Responses and CeRNA Regulatory Network of mRNAs, lncRNAs, miRNAs and circRNAs in Response to Salt Stress in Sugar Beet (Beta vulgaris)

International journal of molecular sciences

Transcriptome-Wide Identification and Characterization of Circular RNAs in Leaves of Chinese Cabbage (Brassica rapa L. ssp. pekinensis) in Response to Calcium Deficiency-Induced Tip-burn

Long noncoding RNAs in the model species Brachypodium distachyon

A novel miRNA analysis framework to analyze differential biological networks

Identification of miRNA–mRNA Regulatory Modules Involved in Lipid Metabolism and Seed Development in a Woody Oil Tree (Camellia oleifera)

Identification of Grafting-Responsive MicroRNAs Associated with Growth Regulation in Pecan [Carya illinoinensis (Wangenh.) K. Koch]

Identification and Characterization of MiRNAs in Coccomyxa subellipsoidea C-169


Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces

AdvFaces: Adversarial Face Synthesis

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Unified Detection of Digital and Physical Face Attacks


A PyTorch Implementation of AC-SUM-GAN from "AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization" (IEEE TCSVT 2021)

Combining Adversarial and Reinforcement Learning for Video Thumbnail Selection

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

ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN


Transcripts annotation and GO enrichment Fisher tests

Epimutations in Developmental Genes Underlie the Onset of Domestication in Farmed European Sea Bass

Vulture Genomes Reveal Molecular Adaptations Underlying Obligate Scavenging and Low Levels of Genetic Diversity

Environmentally Driven Color Variation in the Pearl Oyster Pinctada margaritifera var. cumingii (Linnaeus, 1758) Is Associated With Differential Methylation of CpGs in Pigment- and Biomineralization-Related Genes

Metatranscriptomics reveals a shift in microbial community composition and function during summer months in a coastal marine environment


Library for working with 3D rotations in C++

Fused Angles: A Representation of Body Orientation for Balance

Fused Angles and the Deficiencies of Euler Angles

Bipedal Walking with Corrective Actions in the Tilt Phase Space

Tilt Rotations and the Tilt Phase Space


Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch

Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Training Agents using Upside-Down Reinforcement Learning

Simplifying Deep Reinforcement Learning via Self-Supervision


Temporal Convolutional Networks for Action Segmentation and Detection

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Gesture Recognition in Robotic Surgery: A Review

IEEE transactions on bio-medical engineering/IEEE transactions on biomedical engineering

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection


Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

Domain-Adversarial Training of Neural Networks

Joint Distribution Optimal Transportation for Domain Adaptation

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation


[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Point-Voxel Absorbing Graph Representation Learning for Event Stream
  based Recognition

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

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


SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in
  Summarization

Evaluating Factuality in Generation with Dependency-level Entailment

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

BYOL works even without batch statistics

Data Augmentation on Graphs: A Technical Survey


Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"

Deep Residual Learning for Image Recognition

Going Deeper with Convolutions

Adversarial Robustness as a Prior for Learned Representations


:fire: :muscle: RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-based Semantic Region Merging (IJCV 2022)

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection


Texture Analysis test tool for PET images

Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis

European journal of nuclear medicine and molecular imaging

Non-Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of (18)F-FDG Uptake at PET-Association with Treatment Response and Prognosis.

Spatial-Temporal [18F]FDG-PET Features for Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemoradiation Therapy

International journal of radiation oncology, biology, physics

Textural Features of Pretreatment 18F-FDG PET/CT Images: Prognostic Significance in Patients with Advanced T-Stage Oropharyngeal Squamous Cell Carcinoma

Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer

Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas

Texture analysis on 18F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions

Three-dimensional positron emission tomography image texture analysis of esophageal squamous cell carcinoma: relationship between tumor F-18-fluorodeoxyglucose uptake heterogeneity, maximum standardized uptake value, and tumor stage

The promise and limits of PET texture analysis

Texture analysis of FDG PET/CT for differentiating between FDG-avid benign and metastatic adrenal tumors: efficacy of combining SUV and texture parameters


Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"

Efficient fair PCA for fair representation learning

Distributionally Robust Fair Principal Components via Geodesic Descents


On algorithms for and computing with the tensor ring decomposition

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure
  Search with Fewer Evaluations


An implementation of the Residual Flow algorithm for out-of-distribution detection.

Deep Residual Flow for Out of Distribution Detection

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

A Simple Framework for Uncertainty in Contrastive Learning

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model


Scripts to run copynumber variation calls on tumor and normal BAM files using Varscan2

In vivo mitochondrial base editing via adeno-associated viral delivery to mouse post-mitotic tissue

A library of base editors for the precise ablation of all protein-coding genes in the mouse mitochondrial genome


The repository contains a collection of Arabic tweets IDs associated with the novel coronavirus COVID-19. The dataset contains Tweets' ids from 2020-01-01 to 2020-04-30. The Twitter search API was used to gather real-time tweets that contained specific keywords in the Arabic language. The dataset contains almost four millions and half Arabic tweets.

COVID-19 open source data sets: a comprehensive survey

Large Arabic Twitter Dataset on COVID-19

Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter

What Are COVID-19 Arabic Tweeters Talking About?


Timeline summarization and evaluation.

A Temporally Sensitive Submodularity Framework for Timeline Summarization

Abstractive Timeline Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries

Dataset Reproducibility and IR Methods in Timeline Summarization

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

CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese
  Timeline Summarization


[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

CROP: Certifying Robust Policies for Reinforcement Learning through
  Functional Smoothing

DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses


Source code for the Self-Paced Deep Reinforcement Learning Experiments

Self-Paced Deep Reinforcement Learning

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL


Improving Indonesian text classification using multilingual language model

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Indonesian Text Classification Using Multilingual Language Model


Camera Style Adaptation for Person Re-identification CVPR 2018

CamStyle: A Novel Data Augmentation Method for Person Re-Identification

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

DotSCN: Group Re-Identification via Domain-Transferred Single and Couple Representation Learning


A universal time series representation learning framework

CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting

TS2Vec: Towards Universal Representation of Time Series

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

A Survey on Time-Series Pre-Trained Models

Contrast Everything: A Hierarchical Contrastive Framework for Medical
  Time-Series

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning

Dataset Inference: Ownership Resolution in Machine Learning

Defending against Model Stealing via Verifying Embedded External Features

Deep Intellectual Property Protection: A Survey

False Claims against Model Ownership Resolution

Conflicting Interactions Among Protection Mechanisms for Machine
  Learning Models


VIRULIGN: fast codon-correct alignment and annotation of viral genomes

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research


microRNA PREdiction From small RNA-seq data

MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations

Identification of Exogenous Nitric Oxide-Responsive miRNAs from Alfalfa (Medicago sativa L.) under Drought Stress by High-Throughput Sequencing

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants


Reinforcement Learning via Latent State Decoding

Provably efficient RL with Rich Observations via Latent State Decoding

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning


TreeBERT: A Tree-Based Pre-Trained Model for Programming Language

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


This repository holds the dataset used to conduct experiments for the "Cyberthreat Detection from Twitter using Deep Neural Networks" accepted to the IJCNN 2019.

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey


Code for CVPR2020 paper QEBA: Query-Efﬁcient Boundary-Based Blackbox Attack

Membership Leakage in Label-Only Exposures

QEBA: Query-Efficient Boundary-Based Blackbox Attack

SurFree: a fast surrogate-free black-box attack

Towards a Conceptual Framework for Requirements Interoperability in Complex Systems Engineering

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


Utilities for Processing the Meeting Recorder Dialogue Act Corpus

Speaker Turn Modeling for Dialogue Act Classification

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition


Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

Refining the Transit-timing and Photometric Analysis of TRAPPIST-1: Masses, Radii, Densities, Dynamics, and Ephemerides

Modeling the Formation of the Family of the Dwarf Planet Haumea

Relativistic Effects in Orbital Motion of the S-Stars at the Galactic Center


High Relative Degree Control Barrier Functions Under Input Constraints

Control Barrier Functions in Sampled-Data Systems

Guaranteed Safe Spacecraft Docking With Control Barrier Functions

Compositions of Multiple Control Barrier Functions Under Input Constraints

Predictive Control Barrier Functions for Online Safety Critical Control

Safety-Critical Control for Systems With Impulsive Actuators and Dwell Time Constraints


Exo-Transmit radiative transfer code for calculating exoplanet transmission spectra

Exo-Transmit: An Open-Source Code for Calculating Transmission Spectra for Exoplanet Atmospheres of Varied Composition

Publications of the Astronomical Society of the Pacific

Zodiacal Exoplanets in Time (ZEIT). IX. A Flat Transmission Spectrum and a Highly Eccentric Orbit for the Young Neptune K2-25b as Revealed by Spitzer

Stellar Activity Effects on Moist Habitable Terrestrial Atmospheres around M Dwarfs

Helium-enhanced planets along the upper edge of the radius valley


This tool is used for generating Manufacture Usage Description(MUD) from Device Traffic Trace(PCAP)

Clear as MUD: Generating, Validating and Applying IoT Behaviorial Profiles (Technical Report).

Enforcing Behavioral Profiles through Software-Defined Networks in the Industrial Internet of Things

SoK: Beyond IoT MUD Deployments - Challenges and Future Directions.


Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems (AAAI-2020)

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

HCLD: A Hierarchical Framework for Zero-shot Cross-lingual Dialogue System

International Conference on Computational Linguistics


Official implementation of paper "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning" by M. Chancán (ICRA 2020) https://doi.org/10.1109/ICRA40945.2020.9197336

MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation.


Known and Novel IsoForm Explorer. Statistically based splicing detection for circular and linear isoforms

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

Present Scenario of Circular RNAs (circRNAs) in Plants

Circ-camk4 involved in cerebral ischemia/reperfusion induced neuronal injury

Circular RNAs in the cardiovascular system

Advances in circular RNAs and their role in glioma (Review)

Disease-Associated Circular RNAs: From Biology to Computational Identification

Computational approaches for circRNAs prediction and in silico characterization

Novel Identified Circular Transcript of RCAN2, circ-RCAN2, Shows Deviated Expression Pattern in Pig Reperfused Infarcted Myocardium and Hypoxic Porcine Cardiac Progenitor Cells In Vitro


A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"

Distilling the Knowledge in a Neural Network

Learning without Forgetting


Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

Universal Language Model Fine-tuning for Text Classification

Regularizing and Optimizing LSTM Language Models

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Empirical Methods in Natural Language Processing

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification


Data and analysis code to reproduce the NSPN Manuscript "Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome".

Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes

Neurofilament light-associated connectivity in young-adult Huntington’s disease is related to neuronal genes


PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"

Class Normalization for (Continual)? Generalized Zero-Shot Learning

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning


Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

It Takes Two to Tango: Mixup for Deep Metric Learning

Learning to Generate Novel Classes for Deep Metric Learning


Pytorch Implementation of the Nonlinear Information Bottleneck

Nonlinear Information Bottleneck

The Convex Information Bottleneck Lagrangian

MemStream: Memory-Based Streaming Anomaly Detection


This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Break It Down: A Question Understanding Benchmark


LexiLaw - 中文法律大模型

LawBench: Benchmarking Legal Knowledge of Large Language Models

LAiW: A Chinese Legal Large Language Models Benchmark

Reformulating Domain Adaptation of Large Language Models as
  Adapt-Retrieve-Revise

PanGu-π: Enhancing Language Model Architectures via Nonlinearity
  Compensation

AviationGPT: A Large Language Model for the Aviation Domain

Large Language Models in Law: A Survey


Implementation for the paper https://dl.acm.org/citation.cfm?doid=3240508.3240641

Universal EEG Encoder for Learning Diverse Intelligent Tasks

Correct block-design experiments mitigate temporal correlation bias in EEG classification


extract 454 Genome Sequencer reads from a SFF file and convert them into a FASTQ formatted output

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies

Next Generation Diagnostics in Inherited Arrhythmia Syndromes

Journal of cardiovascular translational research

Exploring the Genomic Traits of Non-toxigenic Vibrio parahaemolyticus Strains Isolated in Southern Chile

Characterisation of Genetic Variation in ST8SIA2 and Its Interaction Region in NCAM1 in Patients with Bipolar Disorder

Predominant Biphenyl Dioxygenase From Legacy Polychlorinated Biphenyl (PCB)-Contaminated Soil Is a Part of Unusual Gene Cluster and Transforms Flavone and Flavanone


Validate FastQ Files

Isolation and Characterization of Human Intestinal Bacteria Cytobacillus oceanisediminis NB2 for Probiotic Potential

Comparative genomic analysis of monosporidial and monoteliosporic cultures for unraveling the complexity of molecular pathogenesis of Tilletia indica pathogen of wheat

Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples

Biofertilizer and biocontrol properties of Stenotrophomonas maltophilia BCM emphasize its potential application for sustainable agriculture


Code for "From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation".

Zero-Shot Semantic Segmentation

Context-aware Feature Generation for Zero-shot Semantic Segmentation

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

From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation


BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

Direct Feedback Alignment Provides Learning in Deep Neural Networks

How Important Is Weight Symmetry in Backpropagation?

Biologically-plausible learning algorithms can scale to large datasets

Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms.


SAM (Significance Analysis of Microarrays) shiny app

Distinct lncRNA transcriptional fingerprints characterize progressive stages of multiple myeloma

lncRNA profiling in early-stage chronic lymphocytic leukemia identifies transcriptional fingerprints with relevance in clinical outcome

Proteomic Investigation Uncovers Potential Targets and Target Sites of Pneumococcal Serine-Threonine Kinase StkP and Phosphatase PhpP

Protein profiling of alpha-fetoprotein producing gastric adenocarcinoma

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma

The Aurora kinase/β-catenin axis contributes to dexamethasone resistance in leukemia

Protein Translation Inhibition is Involved in the Activity of the Pan-PIM Kinase Inhibitor PIM447 in Combination with Pomalidomide-Dexamethasone in Multiple Myeloma

Transcriptomic Analysis in Multiple Myeloma and Primary Plasma Cell Leukemia with t(11;14) Reveals Different Expression Patterns with Biological Implications in Venetoclax Sensitivity

Transcriptome Profiling of Atlantic Salmon Adherent Head Kidney Leukocytes Reveals That Macrophages Are Selectively Enriched During Culture

High Dimensional Analyses of Circulating Immune Cells in Psoriatic Arthritis Detects Elevated Phosphorylated STAT3


Home of CodeT5: Open Code LLMs for Code Understanding and Generation

RoBERTa: A Robustly Optimized BERT Pretraining Approach

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

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

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

OctoPack: Instruction Tuning Code Large Language Models

Probing Pretrained Models of Source Code


paper collection for recommendation aspet

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Automated Embedding Size Search in Deep Recommender Systems

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

Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction

Unbiased Ad Click Prediction for Position-aware Advertising Systems

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Task-distribution-aware Meta-learning for Cold-start CTR Prediction


Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098

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

SuperPoint: Self-Supervised Interest Point Detection and Description

Leveraging convergence behavior to balance conflicting tasks in multi-task learning


Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge

Graph-based Molecular Representation Learning

Data Augmentation on Graphs: A Technical Survey

Data Augmentation for Graph Data: Recent Advancements


ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Revisiting Signed Propagation for Multi-Class Graph Neural Networks


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

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

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

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

Towards Weakly-Supervised Hate Speech Classification Across Datasets


AdvFaces: Adversarial Face Synthesis

WarpGAN: Automatic Caricature Generation

Adversarial Patch Attacks on Deep-Learning-Based Face Recognition Systems Using Generative Adversarial Networks


Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive


DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)

Deep Joint Entity Disambiguation with Local Neural Attention

Key Mention Pairs Guided Document-Level Relation Extraction


Annotate DNA sequences for Gene Ontology terms

The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing

The Genetics of a Behavioral Speciation Phenotype in an Island System

Viral Long-Term Evolutionary Strategies Favor Stability over Proliferation

Identification of Candidate Chemosensory Gene Families by Head Transcriptomes Analysis in the Mexican Fruit Fly, Anastrepha ludens Loew (Diptera: Tephritidae)

International journal of molecular sciences


Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection

Improving the performance of bagging ensembles for data streams through mini-batching

Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing


This is the project for DreamStone: TPAMI & ISS: ICLR 2023 spotlight

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned
  from Images

ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation


Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

Federated Optimization in Heterogeneous Networks

Adaptive Personalized Federated Learning

Exploiting Shared Representations for Personalized Federated Learning


ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"

Learning with Feature-Dependent Label Noise: A Progressive Approach

Error-Bounded Correction of Noisy Labels

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness


GIREMI is a method that can identify RNA editing sites using one RNA-seq data set without requiring genome sequence data.

SPRINT: an SNP-free toolkit for identifying RNA editing sites

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

Accurate identification of RNA editing sites from primitive sequence with deep neural networks

Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI

TRANSCRIPTOME DATA ANALYSIS: METHODS AND PROTOCOLS


Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks

Man-in-the-Middle Attacks Against Machine Learning Classifiers Via Malicious Generative Models

Robustness-via-synthesis: Robust training with generative adversarial perturbations


Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.

Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams

Online Prototype Learning for Online Continual Learning


Software for learning sparse Bayesian networks

Learning Large-Scale Bayesian Networks with the sparsebn Package

Penalized estimation of directed acyclic graphs from discrete data

Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression


Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Safe Reinforcement Learning by Imagining the Near Future

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations


Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks

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

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

Probabilistic Back-ends for Online Speaker Recognition and Clustering


CrossRE: A Cross-Domain Dataset for Relation Extraction (Findings of EMNLP 2022)

The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation


PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning

Reward Uncertainty for Exploration in Preference-based Reinforcement
  Learning


Fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction

Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

BIAPSS: A Comprehensive Physicochemical Analyzer of Proteins Undergoing Liquid–Liquid Phase Separation


Graph Filter Neural Network (ICPR'20)

Deep Learning on Graphs: A Survey

Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Revisiting Graph Neural Networks: Graph Filtering Perspective

International Conference on Pattern Recognition


RF-Score-VS - Random forest based protein-ligand scoring function for Virtual Screening

In Silico Screening of Available Drugs Targeting Non-Small Cell Lung Cancer Targets: A Drug Repurposing Approach

Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy

Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer—Fragment Based Drug Design Strategy


A framework for automatic speech recognition

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Attention-Based Models for Speech Recognition

Conformer: Convolution-augmented Transformer for Speech Recognition

Deep Speech: Scaling up end-to-end speech recognition

Sequence Transduction with Recurrent Neural Networks

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

Jasper: An End-to-End Convolutional Neural Acoustic Model

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Listen, Attend and Spell


Fully automated Gaussian decomposition package for emission line spectra

Ubiquitous velocity fluctuations throughout the molecular interstellar medium

GAUSSPY+: A fully automated Gaussian decomposition package for emission line spectra

Extracting the cold neutral medium from HI emission with deep learning:
  Implications for Galactic foregrounds at high latitude

The "Maggie" filament: Physical properties of a giant atomic cloud.


Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs

Dnmt2 mediates intergenerational transmission of paternally acquired metabolic disorders through sperm small non-coding RNAs

Human sperm displays rapid responses to diet

SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA- and tRNA-derived Small RNAs

基因组蛋白质组与生物信息学报

Angiogenin mediates paternal inflammation-induced metabolic disorders in offspring through sperm tsRNAs

Paternal multigenerational exposure to an obesogenic diet drives epigenetic predisposition to metabolic diseases in mice

Emerging evidence that the mammalian sperm epigenome serves as a template for embryo development

Testicular “Inherited Metabolic Memory” of Ancestral High-Fat Diet Is Associated with Sperm sncRNA Content

Paternal High-Protein Diet Programs Offspring Insulin Sensitivity in a Sex-Specific Manner

Intergenerational effect of short-term spaceflight in mice

The Multiverse of Plant Small RNAs: How Can We Explore It?


BiCVM Code

Multilingual Models for Compositional Distributed Semantics

Multilingual Distributed Representations without Word Alignment

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Word Embeddings for Code-Mixed Language Processing

Baselines and test data for cross-lingual inference

MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment


This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge
  Distillation

Self-Supervised Curricular Deep Learning for Chest X-Ray Image
  Classification


Official implementation of Temporal-Guided Networks

Graph Neural Network for Traffic Forecasting: A Survey

Bike sharing usage prediction with deep learning: a survey

Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

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

StyleGAN2 Distillation for Feed-forward Image Manipulation

High Resolution Face Age Editing

Amora: Black-box Adversarial Morphing Attack

Disentangled Inference for GANs with Latently Invertible Autoencoder

3D-FM GAN: Towards 3D-Controllable Face Manipulation

ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation


A Survey on Network Embedding

DeepCas: an End-to-end Predictor of Information Cascades

SubRank: Subgraph Embeddings via a Subgraph Proximity Measure

Pacific-Asia Conference on Knowledge Discovery and Data Mining


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

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

A Simple Framework for Uncertainty in Contrastive Learning

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


[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu,  Mykola Pechenizkiy

Rigging the Lottery: Making All Tickets Winners

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations


Official implementation of our ASVspoof 2021 paper, "UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021"

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

One-class learning towards generalized voice spoofing detection.


A collection of algorithms of counterfactual explanations.

Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Inverse Classification for Comparison-based Interpretability in Machine Learning


analyze text with empath

Analyzing Right-wing YouTube Channels: Hate, Violence and Discrimination

Proof-of-Blackouts? How Proof-of-Work Cryptocurrencies Could Affect Power Grids

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach

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

Beauty, the feeling

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages

Team Oulu at SemEval-2020 Task 12: Multilingual Identification of Offensive Language, Type and Target of Twitter Post Using Translated Datasets

International Workshop on Semantic Evaluation

Characterizing the public perception of WhatsApp through the lens of media

Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum

Characterising Authors on the Extent of their Paper Acceptance: A Case Study of the Journal of High Energy Physics

ACM/IEEE Joint Conference on Digital Libraries


Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)

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

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

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


JavaScript library to explain any machine learning models anywhere!

A Unified Approach to Interpreting Model Predictions

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere


Domain Adaptive Faster R-CNN in Detectron

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Scale-Aware Domain Adaptive Faster R-CNN

International journal of computer vision

An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites

Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites


FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)

Trustworthy Privacy-Preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 With Blockchain

IEEE transactions on industrial informatics

Energy Efficiency of Training Neural Network Architectures: An Empirical Study

Patching Weak Convolutional Neural Network Models through Modularization and Composition

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data

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

A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks


Tutorial on using popular tools for learning about population history

Conservation Significance of the Rare and Endangered Tree Species, Trigonobalanus doichangensis (Fagaceae)

Genomic Approaches Reveal an Endemic Subpopulation of Gray Wolves in Southern China

Genome-Wide SNP Discovery and Population Genetic Analysis of Mesocentrotus nudus in China Seas


Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms

Empirical Methods in Natural Language Processing

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection

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


This repository is the PyTorch implementation of our DocRE model with reconstruction in AAAI 2021 Paper "Document-Level Relation Extraction with Reconstruction".

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing


Simple but effective library to translate Java source code to Python.

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

Syntax and Domain Aware Model for Unsupervised Program Translation

Using Document Similarity Methods to create Parallel Datasets for Code
  Translation

CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution

BayesicFitting, a PYTHON Toolbox for Bayesian Fitting and Evidence
  Calculation

Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection


A significantly higher label quality version of the popular TACRED dataset

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Generative Prompt Tuning for Relation Classification


Implementation of Bootstrap DQN and Randomized Prior Functions on ALE

Deep Exploration via Bootstrapped DQN

Randomized Prior Functions for Deep Reinforcement Learning

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Posterior Sampling for Deep Reinforcement Learning


The implementation of ProxyNCA++.

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

Learning Intra-Batch Connections for Deep Metric Learning

Hierarchical Average Precision Training for Pertinent Image Retrieval


Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)

Learning from Few Samples: A Survey

Task-Aware Feature Generation for Zero-Shot Compositional Learning


Classification of Alzheimer's disease status with convolutional neural networks.

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Clinica: an open source software platform for reproducible clinical neuroscience studies

Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse


Meta-GNN: On Few-shot Node Classification in Graph Meta-learning

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

Contrastive Graph Few-Shot Learning


Official implementation of PointBeV: A Sparse Approach to BeV Predictions

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera
  Images via Spatiotemporal Transformers

Cross-view Transformers for real-time Map-view Semantic Segmentation

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?


The official implementation of HierSpeech++

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

HierSpeech++: Bridging the Gap between Semantic and Acoustic
  Representation of Speech by Hierarchical Variational Inference for Zero-shot
  Speech Synthesis


Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Graph Structure Learning for Robust Graph Neural Networks

Graph Self-Supervised Learning: A Survey

Label-Wise Graph Convolutional Network for Heterophilic Graphs


Predicting Factuality of Reporting and Bias of News Media Sources

What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

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

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing

The Challenges of Machine Learning for Trust and Safety: A Case Study on
  Misinformation Detection

Interactively Learning Social Media Representations Improves News Source
  Factuality Detection


A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

Augmenting Neural Response Generation with Context-Aware Topical Attention


Estimate recombination rates from population genetic data

The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference

Comparative Population Genomics Analysis of the Mammalian Fungal Pathogen Pneumocystis

Recombination Does Not Hinder Formation or Detection of Ecological Species of Synechococcus Inhabiting a Hot Spring Cyanobacterial Mat

Population Size, Sex and Purifying Selection: Comparative Genomics of Two Sister Taxa of the Wild Yeast Saccharomyces paradoxus

Reduced meiotic recombination in rhesus macaques and the origin of the human recombination landscape


Deep Learning on Graphs: A Survey

3D Graph Neural Networks for RGBD Semantic Segmentation

International Conference on Computer Vision


TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels (SIGGRAPH Asia 2022)

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction


Harmonic Convolutional Networks based on Discrete Cosine Transform

Harmonic Networks with Limited Training Samples

Harmonic Networks: Integrating Spectral Information into CNNs


A parallel-tempered version of emcee.

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Monthly Notices of the Royal Astronomical Society

Multisystem Bayesian constraints on the transport coefficients of QCD matter

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

The COS Absorption Survey of Baryon Harbors: unveiling the physical conditions of circumgalactic gas through multiphase Bayesian ionization modelling

Deep Exploration of the Planets HR 8799 b, c, and d with Moderate-resolution Spectroscopy

GRAVITY K-band spectroscopy of HD 206893 B: brown dwarf or exoplanet

Bayesian quantification of strongly-interacting matter with color glass
  condensate initial conditions

VVV-WIT-08: the giant star that blinked

Implications of Grain Size Distribution and Composition for the Correlation between Dust Extinction and Emissivity

Impact of Dust on Spectral Distortion Measurements of the Cosmic Microwave Background


Papers and online resources related to machine learning fairness

A Survey on Bias and Fairness in Machine Learning

Certifying and removing disparate impact

Mitigating Unwanted Biases with Adversarial Learning

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

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Fair Transfer Learning with Missing Protected Attributes

National Conference on Artificial Intelligence

InFoRM: Individual Fairness on Graph Mining

Fairway: a way to build fair ML software


Global Carbon Budget Data Package


Learning to Cluster. A deep clustering strategy.

Learning to cluster in order to transfer across domains and tasks

Multi-class Classification without Multi-class Labels

Neural network-based clustering using pairwise constraints

Learning to Cluster for Proposal-Free Instance Segmentation

Mining Entity Synonyms with Efficient Neural Set Generation


A tool to detect integer bugs in Ethereum smart contracts (ACSAC 2018).

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

International Conference on Software Engineering

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Smart Contract Vulnerability Detection Technique: A Survey

SolidityCheck : Quickly Detecting Smart Contract Problems Through
  Regular Expressions

Security analysis of smart contract based rating and review systems: the perilous state of blockchain-based recommendation practices

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

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


Quantitative evaluation of disentangled representations

Auto-Encoding Variational Bayes

A Framework for the Quantitative Evaluation of Disentangled Representations

International Conference on Learning Representations

InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers

Generative Restricted Kernel Machines: A Framework for Multi-view
  Generation and Disentangled Feature Learning

Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality


Open Platform for Energy Networks


From LTLf / PPLTL to Deterministic Finite-state Automata (DFA)

Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logic

Conformal Temporal Logic Planning using Large Language Models: Knowing
  When to Do What and When to Ask for Help

Verified Compositions of Neural Network Controllers for Temporal Logic Control Objectives

Automata for dynamic answer set solving: Preliminary report

A tool for compiling Declarative Process Mining problems in ASP


COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning

COVID-19 infection localization and severity grading from chest X-ray images

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information

Recent Progress in Transformer-based Medical Image Analysis

Detecting Coronavirus from Chest X-rays Using Transfer Learning

CodnNet: A lightweight CNN architecture for detection of COVID-19 infection


stream processing reading list

S-Store: Streaming Meets Transaction Processing

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

LightSaber: Efficient Window Aggregation on Multi-core Processors

Hardware-Conscious Stream Processing: A Survey

Parallel Index-based Stream Join on a Multicore CPU

A Scalable Software Framework for Stateful Stream Data Processing on Multiple GPUs and Applications

Deterministic Model for Distributed Speculative Stream Processing

Symposium on Advances in Databases and Information Systems


Generates input data for energy models on renewable energy in arbitrary world regions using public datasets. Written in Julia 1.x.

An autopilot for energy models – Automatic generation of renewable supply curves, hourly capacity factors and hourly synthetic electricity demand for arbitrary world regions

MENA compared to Europe: The influence of land use, nuclear power, and transmission expansion on renewable electricity system costs

OSeMOSYS Global: An open-source, open data global electricity system model generator


This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection


Implementation of DeepJDOT in Keras

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

On Scalable and Efficient Computation of Large Scale Optimal Transport

Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.


Efficient face emotion recognition in photos and videos

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

Symposium on Intelligent Systems and Informatics

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

IEEE transactions on affective computing

Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets

EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at
  ABAW-5 competition

Neural Network Model for Video-Based Analysis of Student’s Emotions in E-Learning

HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition
  and Learning from Synthetic Images


Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals


SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Learning to Perturb Word Embeddings for Out-of-distribution QA

OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification

Feature-aware conditional GAN for category text generation


Adaptive Denoising Training (ADT) for Recommendation.

Denoising Implicit Feedback for Recommendation

Learning Robust Recommenders through Cross-Model Agreement

Learning Robust Recommender from Noisy Implicit Feedback

Partial Relaxed Optimal Transport for Denoised Recommendation

Label Denoising through Cross-Model Agreement


Unsupervised Cross-lingual Representation Learning for Speech Recognition

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Unsupervised Speech Recognition

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset


Entropy rate superpixel segmentation source code

Superpixel Segmentation Using Gaussian Mixture Model

Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint

ISEC: Iterative over-Segmentation via Edge Clustering

Efficient Multiscale Object-based Superpixel Framework

Content-Based Superpixel Segmentation and Matching Using Its Region Feature Descriptors

IEICE transactions on information and systems


covidAsk: Answering Questions on COVID-19 in Real-Time

Biomedical Entity Representations with Synonym Marginalization

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training


The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Specialising Word Vectors for Lexical Entailment

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

International Conference on Computational Linguistics

Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Using pseudo-senses for improving the extraction of synonyms from word embeddings

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

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations

Meeting of the Association for Computational Linguistics


Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion

U2Fusion: A Unified Unsupervised Image Fusion Network

IEEE transactions on pattern analysis and machine intelligence

FusionDN: A Unified Densely Connected Network for Image Fusion

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

Approximate exploitability: Learning a best response in large games

SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images

An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning

Infrared and Visible Image Fusion with Hybrid Image Filtering

Advanced Driving Assistance Based on the Fusion of Infrared and Visible Images

MJ-GAN: Generative Adversarial Network with Multi-Grained Feature Extraction and Joint Attention Fusion for Infrared and Visible Image Fusion

Cross Attention-guided Dense Network for Images Fusion


Short Text Topic Modeling

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

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

Crude oil price forecasting incorporating news text

BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation


Contrastive Learning for Domain Adaptation of Time Series

Deep Domain Confusion: Maximizing for Domain Invariance

On Minimum Discrepancy Estimation for Deep Domain Adaptation

A Survey on Time-Series Pre-Trained Models

Contrastive Learning for Unsupervised Domain Adaptation of Time Series


Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models

Analyzing Feed-Forward Blocks in Transformers through the Lens of
  Attention Map


The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)

Dual Supervised Learning for Natural Language Understanding and Generation

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

Dual Inference for Improving Language Understanding and Generation


Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019

An efficient framework for learning sentence representations

Intent Mining from past conversations for conversational agent


EEN: Error Encoding Network

Learning to Poke by Poking: Experiential Learning of Intuitive Physics

Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Prediction Under Uncertainty with Error-Encoding Networks


Time Series Change Point Detection based on Contrastive Predictive Coding

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

InDiD: Instant Disorder Detection via Representation Learning


Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Keyword Extraction for Improved Document Retrieval in Conversational Search


Point Mamba

PCT: Point cloud transformer

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Vision Mamba: Efficient Visual Representation Learning with
  Bidirectional State Space Model

OctFormer: Octree-based Transformers for 3D Point Clouds


Unified Structure Generation for Universal Information Extraction

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

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

ChatLog: Recording and Analyzing ChatGPT Across Time

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

Few-shot Event Detection: An Empirical Study and a Unified View


DAMOV is a benchmark suite and a methodical framework targeting the study of data movement bottlenecks in modern applications. It is intended to study new architectures, such as near-data processing. Described by Oliveira et al. (preliminary version at https://arxiv.org/pdf/2105.03725.pdf)

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput,
  Energy-Efficient and Programmer-Transparent Multiple-Instruction
  Multiple-Data Processing

Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures


Channel Reconstruction Network implemented in PyTorch

Multi-resolution CSI Feedback with deep learning in Massive MIMO System

Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems

CLNet: Complex Input Lightweight Neural Network Designed for Massive MIMO CSI Feedback


Standalone C library for assembling Illumina short reads in small regions

Kevlar: A Mapping-Free Framework for Accurate Discovery of De Novo Variants

Clonal Evolution Dynamics in Primary and Metastatic Lesions of Pancreatic Neuroendocrine Neoplasms

Virtual Genome Walking: Generating gene models for the salamander Ambystoma mexicanum


TensorFlow implementation of TabTransformer

Revisiting Deep Learning Models for Tabular Data

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

On Embeddings for Numerical Features in Tabular Deep Learning


Spatially Transformed Adversarial Examples with TensorFlow

Robustness of Rotation-Equivariant Networks to Adversarial Perturbations

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions


The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).

Computational methods for large-scale inverse problems: a survey on hybrid projection methods.

Condition numbers for the truncated total least squares problem and their estimations

On the extended randomized multiple row method for solving linear
  least-squares problems


StarGAN - Official PyTorch Implementation (CVPR 2018)

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

CNN-generated images are surprisingly easy to spot... for now

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Detecting GAN generated Fake Images using Co-occurrence Matrices

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

StyleGAN2 Distillation for Feed-forward Image Manipulation

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection


SpikeGLX recording system GUI [Neuropixels NI]

A synaptic threshold mechanism for computing escape decisions

A Circuit for Integration of Head- and Visual-Motion Signals in Layer 6 of Mouse Primary Visual Cortex

Functional neuronal circuitry and oscillatory dynamics in human brain organoids

Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Motor cortical output for skilled forelimb movement is selectively distributed across projection neuron classes

Flexible inhibitory control of visually evoked defensive behavior by the ventral lateral geniculate nucleus

Multisensory coding of angular head velocity in the retrosplenial cortex

CMU Array: A 3D nanoprinted, fully customizable high-density microelectrode array platform

ZETA: a parameter-free statistical test for neuronal responsiveness


PyTorch Lightning Implementations of Recent Satellite Image Classification !

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Remote Sensing Image Scene Classification: Benchmark and State of the Art

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

CoAtNet: Marrying Convolution and Attention for All Data Sizes


Python code of Hilbert-Schmidt Independence Criterion

The Effect of Noise Level on Causal Identification with Additive Noise Models.

Causal Identification with Additive Noise Models: Quantifying the Effect
  of Noise

The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models

Communications in computer and information science


Identifying Mislabeled Data using the Area Under the Margin Ranking

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data

Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels


Papers of ComputerVision x Surgery

Surgical process modelling: a review

International journal of computer assisted radiology and surgery

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Objective Assessment of Surgical Technical Skill and Competency in the Operating Room

Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery

Medical Image Computing and Computer-Assisted Intervention

“Deep-Onto” network for surgical workflow and context recognition

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms

Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery

Automatic phase prediction from low-level surgical activities

Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery

Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos


OpenNMT: Open-Source Toolkit for Neural Machine Translation

Molecular Transformer – A Model for Uncertainty-Calibrated Chemical Reaction Prediction

Permutation invariant graph-to-sequence model for template-free
  retrosynthesis and reaction prediction

RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking