Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative

Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits


Official repository for the "Powerset multi-class cross entropy loss for neural speaker diarization" paper published in Interspeech 2023.

Ego4D: Around the World in 3,000 Hours of Egocentric Video

The Third DIHARD Diarization Challenge

Speech Recognition and Multi-Speaker Diarization of Long Conversations

AVA-AVD: Audio-visual Speaker Diarization in the Wild


IC3 reference implementation: a short, simple, fairly competitive implementation of IC3.  Read it, tune it, extend it, play with it.

IC3 Modulo Theories via Implicit Predicate Abstraction

Model Checking Regular Language Constraints.

Partial Quantifier Elimination By Certificate Clauses

The Lattice-Theoretic Essence of Property Directed Reachability Analysis

Partial Quantifier Elimination And Property Generation

Reasoning about Regular Properties: A Comparative Study

Everything You Always Wanted to Know About Generalization of Proof Obligations in PDR


MoCoGAN: Decomposing Motion and Content for Video Generation

Lower Dimensional Kernels for Video Discriminators

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

Markov Decision Process for Video Generation


Differentially Private Federated Learning on Heterogeneous Data

Federated Optimization in Heterogeneous Networks

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


Facial image inpainting is a task of filling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. This paper presents EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image with exemplar-like facial attributes.

Paint by Example: Exemplar-based Image Editing with Diffusion Models

Reference-Guided Large-Scale Face Inpainting With Identity and Texture Control

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting


Omniglot data set for one-shot learning

The Omniglot challenge: a 3-year progress report

Brain-inspired global-local learning incorporated with neuromorphic computing

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Algorithmic fairness datasets: the story so far

Spectroscopic characterization of isomerization transition states

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation

AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning

On Provably Robust Meta-Bayesian Optimization


Supporting code for uncultivated gut virus manuscript

IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

Ultra-deep sequencing of Hadza hunter-gatherers recovers vanishing gut microbes

bioRxiv : the preprint server for biology

Terabase-Scale Coassembly of a Tropical Soil Microbiome

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces


Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Graph Contrastive Learning with Adaptive Augmentation

Large-Scale Representation Learning on Graphs via Bootstrapping

Graph Communal Contrastive Learning

Compact Graph Structure Learning via Mutual Information Compression

Relational Self-Supervised Learning on Graphs

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

Label-free Node Classification on Graphs with Large Language Models
  (LLMS)

Informative pseudo-labeling for graph neural networks with few labels

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

Neuron with Steady Response Leads to Better Generalization


A collection of LUTs for ImageJ/Fiji

Controlling Light in Scattering Materials for Volumetric Additive Manufacturing

In vitro endoderm emergence and self-organisation in the absence of extraembryonic tissues and embryonic architecture

HSP90 Modulates T2R Bitter Taste Receptor Nitric Oxide Production and Innate Immune Responses in Human Airway Epithelial Cells and Macrophages

A timer gene network is spatially regulated by the terminal system in the Drosophila embryo

Rab10 regulates the sorting of internalised TrkB for retrograde axonal transport

Botulinum neurotoxin A modulates the axonal release of pathological tau in hippocampal neurons

Quantitative study of alpha-synuclein prion-like spreading in fully oriented reconstructed neural networks reveals non-synaptic dissemination of seeding aggregates

Regulation of YAP Promotor Accessibility in Endothelial Mechanotransduction

Arteriosclerosis, thrombosis, and vascular biology


This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 2018 competition

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

A deep learning framework for nucleus segmentation using image style transfer

Regression plane concept for analysing continuous cellular processes with machine learning


CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts


Pytorch Implementation of DOLG (ICCV 2021)

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features


ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

Traditional Readability Formulas Compared for English

Neural Embeddings for Text


Efficient Markov Chain word alignment

Multilingual Projection for Parsing Truly Low-Resource Languages

Transactions of the Association for Computational Linguistics

Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering

Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools

Meeting of the Association for Computational Linguistics

CEA LIST: Processing Low-Resource Languages for CoNLL 2018


This project makes available the code and data from our NAACL paper: "Capturing Row and Column Semantics in Transformer Based Question Answering over Tables"

CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering

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


Implementations of data poisoning attacks against neural networks and related defenses.

Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff

What Doesn't Kill You Makes You Robust(er): How to Adversarially Train
  against Data Poisoning

Poison Ink: Robust and Invisible Backdoor Attack

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations


LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection


Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

Self-Knowledge Distillation with Progressive Refinement of Targets


A Detection Toolbox for Tensorflow2

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

Fully Convolutional Networks for Semantic Segmentation

Focal Loss for Dense Object Detection

YOLOv3: An Incremental Improvement

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Wide Residual Networks

Rethinking Atrous Convolution for Semantic Image Segmentation


Code for the paper "Smart 'Predict, then Optimize'"

Smart "Predict, then Optimize"

Fast Rates for Contextual Linear Optimization

Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities


A step by step guide on how to use eMAGMA, an approach to conducting eQTL informed gene-based tests.

eMAGMA: An eQTL-informed method to identify risk genes using genome-wide association study summary statistics

Integrative Analysis of Transcriptome-Wide Association Study and Gene-Based Association Analysis Identifies In Silico Candidate Genes Associated with Juvenile Idiopathic Arthritis

International journal of molecular sciences

Genetic relationship between the immune system and autism


Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

Adversarial Attack across Datasets


The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)

Variational Deep Semantic Hashing for Text Documents

Unsupervised Neural Generative Semantic Hashing


A lightfield botanist's guide to neural rendering

Plenoxels: Radiance Fields without Neural Networks

NeRF--: Neural Radiance Fields Without Known Camera Parameters

Advances in Neural Rendering

Crowdsampling the Plenoptic Function


A fork of exonerate: a generic tool for sequence alignment

Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement

The genomic landscape of molecular responses to natural drought stress in Panicum hallii

Technology dictates algorithms: Recent developments in read alignment

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

The telomere-to-telomere genome of Fragaria vesca reveals the genomic evolution of Fragaria and the origin of cultivated octoploid strawberry

Taxus yunnanensis genome offers insights into gymnosperm phylogeny and taxol production

Genomic basis of the giga-chromosomes and giga-genome of tree peony Paeonia ostii

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Chromosome-level and graphic genomes provide insights into metabolism of bioactive metabolites and cold-adaption of Pueraria lobata var. montana

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

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


Official implementation of the paper: "LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech"

The VoiceMOS Challenge 2022


Extended Complexity Library in R

How Complex is your classification problem? A survey on measuring classification complexity

problexity -- an open-source Python library for binary classification
  problem complexity assessment

Better than classical? The subtle art of benchmarking quantum machine learning models


Supervised and RL Models for No Press Diplomacy

No Press Diplomacy: Modeling Multi-Agent Gameplay

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

No-Press Diplomacy from Scratch


Versatile End-to-End Recommender System

Inductive Representation Learning on Large Graphs

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Neural Graph Collaborative Filtering

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

Session-based Recommendations with Recurrent Neural Networks

Deep Interest Network for Click-Through Rate Prediction


Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Advances in deep learning methods for pavement surface crack detection
  and identification with visible light visual images

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers


Learning Graph Models for Retrosynthesis Prediction

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist

Energy-based View of Retrosynthesis

Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction

RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction

��^2����������: Two-Step Graph Generative Models for Retrosynthesis
  Prediction

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction


Combating Adversarial Misspellings with Robust Word Recognition

Towards a Robust Deep Neural Network in Texts: A Survey

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models


A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax

EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives


Differentiable Unbiased Online Learning to Rank

International Conference on Information and Knowledge Management

To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions

Learning from User Interactions with Rankings: A Unification of the Field

Optimizing Ranking Models in an Online Setting


Content-Aware Unsupervised Deep Homography Estimation

Deep Image Homography Estimation

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model


PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

Glow: Generative Flow with Invertible 1x1 Convolutions

WaveFlow: A Compact Flow-based Model for Raw Audio

Fast Wavenet Generation Algorithm


The last data dump of Freebase with introductory explanation of its schema

AgentBench: Evaluating LLMs as Agents

Few-shot In-context Learning for Knowledge Base Question Answering

Would You Ask it that Way?

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Probing Structured Semantics Understanding and Generation of Language
  Models via Question Answering

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions


A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation for Indoor Scene.

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

The Replica Dataset: A Digital Replica of Indoor Spaces

RoutedFusion: Learning Real-time Depth Map Fusion

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes


sentence embedding by Smooth Inverse Frequency weighting scheme

Word Rotator's Distance

Natural Language Processing markers in first episode psychosis and people at clinical high-risk

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations

Unsupervised Post-processing of Word Vectors via Conceptor Negation

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions

Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings

Self-Discriminative Learning for Unsupervised Document Embedding

North American Chapter of the Association for Computational Linguistics

Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study

Contextually Propagated Term Weights for Document Representation


Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation

Zenodo (CERN European Organization for Nuclear Research)

FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy

Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations

International Symposium on Biomedical Imaging


Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

Graph Attention Networks

Inductive Representation Learning on Large Graphs

Unsupervised Attributed Multiplex Network Embedding

Knowledge Graphs Querying


context labels and pronunciation data for JSUT corpus

Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End

Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language

IEEE journal of selected topics in signal processing

Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder

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


A non-intrusive objective metric for speech quality and intelligibility for normal hearing listeners and cochlear implant users

More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations

Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source

Recycling an anechoic pre-trained speech separation deep neural network
  for binaural dereverberation of a single source


Official implementation of "On GANs and GMMs"

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff


Easy differential privacy in R

Trustworthy AI: A Computational Perspective

Diffprivlib: The IBM Differential Privacy Library

Precision-based attacks and interval refining: how to break, then fix,
  differential privacy on finite computers

Do I Get the Privacy I Need? Benchmarking Utility in Differential
  Privacy Libraries


SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd


The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".


Behavior From the Void: Unsupervised Active Pre-Training

URLB: Unsupervised Reinforcement Learning Benchmark

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model

Curious Exploration via Structured World Models Yields Zero-Shot Object
  Manipulation

A Mixture of Surprises for Unsupervised Reinforcement Learning

Learning to Discover Skills through Guidance


Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

Applications of Deep Learning in Fundus Images: A Review

Review of Machine Learning Applications Using Retinal Fundus Images

Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach


[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners

Starting from Non-Parametric Networks for 3D Point Cloud Analysis


Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Deep Recurrent Q-Learning for Partially Observable MDPs


A comprehensive list [I3CL@IJCV'22, DPText-DETR@AAAI'23, DeepSolo(++)@ CVPR'23] of our research works related to scene text detection and spotting, including papers, codes. Note: The official repo for "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped ..." has been moved to: https://github.com/ViTAE-Transformer/I3CL

DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting

DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-Shaped Scene Text Detection


Official implementation of "Particle Transformer for Jet Tagging".

Energy flow networks: deep sets for particle jets

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

Jet tagging via particle clouds

The Machine Learning landscape of top taggers

Particle Transformer for Jet Tagging

Top Quark Tagging Reference Dataset

Pythia8 Quark and Gluon Jets for Energy Flow


2D path-planning algorithm which uses a receding horizon approach and quadratic Bezier curves.

Practical Distributed Control for VTOL UAVs to Pass a Virtual Tube

How Far Two UAVs Should be Subject to Communication Uncertainties

Receding Horizon Control with Extended Solution for UAV Path Planning

International journal of aerospace engineering


Official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.

Sentiment Analysis for Fake News Detection

Memory-Guided Multi-View Multi-Domain Fake News Detection

IEEE transactions on knowledge and data engineering

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

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


TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

Party Prediction for Twitter


A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Learning DAGs from Data with Few Root Causes

Applying causal discovery to single-cell analyses using CausalCell


This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.

Full-Atom Protein Pocket Design via Iterative Refinement


Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Natural Posterior Network: Deep Bayesian Uncertainty for Exponential
  Family Distributions

Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation

Training, Architecture, and Prior for Deterministic Uncertainty Methods


Remove CCS reads with remnant PacBio adapter sequences and convert outputs to a compressed .fastq (.fastq.gz).

Semi-automated assembly of high-quality diploid human reference genomes

Pangenome-based genome inference allows efficient and accurate genotyping across a wide spectrum of variant classes

The USDA-ARS Ag100Pest Initiative: High-Quality Genome Assemblies for Agricultural Pest Arthropod Research

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii


[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications


Probabilistic Programming eXecution protocol (PPX)

Technology Readiness Levels for Machine Learning Systems

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Planning as Inference in Epidemiological Models

Probabilistic Surrogate Networks for Simulators with Unbounded
  Randomness


Protist Ribosomal Reference database (PR2) - SSU rRNA gene database

The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy

Group 2i Isochrysidales produce characteristic alkenones reflecting sea ice distribution

Global radiation in a rare biosphere soil diatom

DNA Metabarcoding for the Characterization of Terrestrial Microbiota—Pitfalls and Solutions

Discarded masks as hotspots of antibiotic resistance genes during COVID-19 pandemic

Habitat Heterogeneity and Connectivity: Effects on the Planktonic Protist Community Structure at Two Adjacent Coastal Sites (the Lagoon and the Gulf of Venice, Northern Adriatic Sea, Italy) Revealed by Metabarcoding

µgreen-db: a reference database for the 23S rRNA gene of eukaryotic plastids and cyanobacteria

EukRef-excavates: seven curated SSU ribosomal RNA gene databases

Database : the journal of biological databases and curation

An assessment of the taxonomic reliability of DNA barcode sequences in publicly available databases

Diversity and biogeography of planktonic diatoms in Svalbard fjords: The role of dispersal and Arctic endemism in phytoplankton community structuring


Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)

Unbiased Scene Graph Generation from Biased Training

PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation

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


[CIKM 2018] Weakly-Supervised Neural Text Classification

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Contextualized Weak Supervision for Text Classification

Meeting of the Association for Computational Linguistics

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

META: Metadata-Empowered Weak Supervision for Text Classification

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

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

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

Weakly Supervised Prototype Topic Model with Discriminative Seed Words:
  Modifying the Category Prior by Self-exploring Supervised Signals

Towards Weakly-Supervised Hate Speech Classification Across Datasets


Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

State‐of‐the‐art in Automatic 3D Reconstruction of Structured Indoor Environments

AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption

3D Scene Geometry Estimation from 360° Imagery: A Survey

Automatic modeling of cluttered multi‐room floor plans from panoramic images


Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning

Single UHD Image Dehazing via Interpretable Pyramid Network


Network Reverse Engineering through AP inference of Mutual Information

Single-cell analyses reveal YAP/TAZ as regulators of stemness and cell plasticity in glioblastoma

A single-cell survey of cellular hierarchy in acute myeloid leukemia

Characterization of the Zebrafish Cell Landscape at Single-Cell Resolution

Frontiers in cell and developmental biology

Evaluating Pruning Methods in Gene Network Inference

Single-cell protein activity analysis reveals a novel subpopulation of chondrocytes and the corresponding key master regulator proteins associated with anti-senescence and OA progression

The chromatin modulating NSL complex regulates genes and pathways genetically linked to Parkinson’s disease


Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class
  Medical Image Semantic Segmentation

Triple-View Feature Learning for Medical Image Segmentation

Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image Segmentation

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework

Medical Image Learning with Limited and Noisy Data


A generic optimization method for any integer programming problem

Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting

Constrained Clustering: General Pairwise and Cardinality Constraints

MAP Inference via L2-Sphere Linear Program Reformulation


This is a one-off Nextstrain build for SARS-like coronaviruses

Molecular immune pathogenesis and diagnosis of COVID-19

The SARS-CoV-2 Coronavirus and the COVID-19 Outbreak

International braz j urol : official journal of the Brazilian Society of Urology

Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools


Deep-learning models of NTUA-SLP team  submitted in SemEval 2018 tasks 1, 2 and 3.

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention

Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline

THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation

North American Chapter of the Association for Computational Linguistics

TERMS: textual emotion recognition in multidimensional space

Applied intelligence (Dordrecht, Netherlands)

Making Your Tweets More Fancy: Emoji Insertion to Texts

Recent Advances in Natural Language Processing


MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems

Tensor Arnoldi–Tikhonov and GMRES-Type Methods for Ill-Posed Problems with a t-Product Structure

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

Randomized core reduction for discrete ill-posed problem

Gauss-Newton Optimization for Phase Recovery from the Bispectrum

On Non-Negative Quadratic Programming in Geometric Optimization


Soft Threshold Weight Reparameterization for Learnable Sparsity

To prune, or not to prune: exploring the efficacy of pruning for model compression

Discovering Neural Wirings

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

PDP: Parameter-free Differentiable Pruning is All You Need


Training MMD GANs.

Demystifying MMD GANs

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields


Stochastic training of graph convolutional networks

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

GraphSAINT: Graph Sampling Based Inductive Learning Method

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

IGLU: Efficient GCN Training via Lazy Updates


SAL: Sign Agnostic Learning of Shapes From Raw Data

Implicit Geometric Regularization for Learning Shapes

SAL: Sign Agnostic Learning of Shapes from Raw Data

SALD: Sign Agnostic Learning with Derivatives

Controlling Neural Level Sets

LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation


Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

Integrating Physiological Time Series and Clinical Notes with Deep
  Learning for Improved ICU Mortality Prediction

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.

Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling


Python library for optimizing noisy functions.

Grammar-aware sentence classification on quantum computers

Improving Hamiltonian encodings with the Gray code

Surrogate-based optimization for variational quantum algorithms

Global deep learning optimization of chemical exchange saturation transfer magnetic resonance fingerprinting acquisition schedule


Pytorch Implementation of OpenAI's PixelCNN++

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Input complexity and out-of-distribution detection with likelihood-based generative models

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features.

Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors

Unsupervised Out-of-Distribution Detection with Batch Normalization

Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics

Predictive Sampling with Forecasting Autoregressive Models

On the relation between statistical learning and perceptual distances

Model-agnostic out-of-distribution detection using combined statistical tests

Deep Learning-based Image Compression with Trellis Coded Quantization


DenseASPP for Semantic Segmentation in Street Scenes

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs


A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

Rotation Equivariant Siamese Networks for Tracking

Few-Shot Backdoor Attacks on Visual Object Tracking

Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers

PatchNet -- Short-range Template Matching for Efficient Video Processing

On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?

SOTVerse: A User-defined Task Space of Single Object Tracking


FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Few-Shot Video Object Detection

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection

Few-Shot Object Detection with Model Calibration


source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Few-Shot Classification with Feature Map Reconstruction Networks

Interventional Few-Shot Learning

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Few-Shot Learning as Domain Adaptation: Algorithm and Analysis

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization


This repo supports various cross-lingual transfer learning & multilingual NLP models.

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Are All Languages Created Equal in Multilingual BERT?

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Do Explicit Alignments Robustly Improve Multilingual Encoders?

Zero-shot Cross-lingual Transfer is Under-specified Optimization


Semantic parsers based on encoder-decoder framework

Meta-Learning to Compositionally Generalize

Learning to Synthesize Data for Semantic Parsing

Structured Reordering for Modeling Latent Alignments in Sequence Transduction

Learning from Executions for Semantic Parsing


Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Deep learning in multimodal remote sensing data fusion: A comprehensive review

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization

Hyperspectral and Multispectral Image Fusion Using the Conditional
  Denoising Diffusion Probabilistic Model

Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks.


Efficient PyTorch Hessian eigendecomposition tools!

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

Accelerated Stochastic Power Iteration

An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning

The Generalization-Stability Tradeoff In Neural Network Pruning

Improving Generalization in Federated Learning by Seeking Flat Minima

Directional Pruning of Deep Neural Networks

Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

Irreducible Curriculum for Language Model Pretraining


Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

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

Scope is all you need: Transforming LLMs for HPC Code


Conformal classifiers, regressors and predictive systems

Regression conformal prediction with random forests

Accelerating difficulty estimation for conformal regression forests

Annals of mathematics and artificial intelligence


Tools for working with second gen assemblies, fasta sequences, etc

Genome assembly and geospatial phylogenomics of the bed bug Cimex lectularius

Quality control of next-generation sequencing data without a reference

Genomic analysis of Sparus aurata reveals the evolutionary dynamics of sex-biased genes in a sequential hermaphrodite fish

Shared transcriptional control and disparate gain and loss of aphid parasitism genes

Zenodo (CERN European Organization for Nuclear Research)

The Grayling Genome Reveals Selection on Gene Expression Regulation after Whole-Genome Duplication

De Novo Transcriptome Analysis of the Common New Zealand Stick Insect Clitarchus hookeri (Phasmatodea) Reveals Genes Involved in Olfaction, Digestion and Sexual Reproduction

The Genome of the Great Gerbil Reveals Species-Specific Duplication of an MHCII Gene

Author Correction: Herbivorous turtle ants obtain essential nutrients from a conserved nitrogen-recycling gut microbiome

The genomic basis of host and vector specificity in non-pathogenic trypanosomatids

Major changes in the core developmental pathways of nematodes: Romanomermis culicivorax reveals the derived status of the Caenorhabditis elegans model


Neural Target Speech Extraction: An overview

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Listen only to me! How well can target speech extraction handle false alarms?

Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker
  Extraction

Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation

Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction

Target Speech Extraction with Conditional Diffusion Model

Target Speech Extraction with Pre-trained Self-supervised Learning Models

Beamformer-Guided Target Speaker Extraction


Real time semantic slam in ROS with a hand held RGB-D camera

Exploration for Object Mapping Guided by Environmental Semantics using UAVs

From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art

Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM

Semantic Mapping with Low-Density Point-Clouds for Service Robots in Indoor Environments


Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

Debiasing Graph Neural Networks via Learning Disentangled Causal
  Substructure

Mitigating Dataset Bias by Using Per-sample Gradient

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation

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


Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]

Learning the Pareto Front with Hypernetworks

Controllable Pareto Multi-Task Learning

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints


VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization

A Survey of Methods for Automated Quality Control Based on Images

International journal of computer vision

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level
  Defective Region Segmentation


ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

Efficient Training of Visual Transformers with Small Datasets

KDEformer: Accelerating Transformers via Kernel Density Estimation

Blending Anti-Aliasing into Vision Transformer

What Makes for Good Tokenizers in Vision Transformer?

Smooth image-to-image translations with latent space interpolations

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss
  Landscape Perspective


AlphaNet Improved Training of Supernet with Alpha-Divergence

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

AlphaNet: Improved Training of Supernets with Alpha-Divergence

A Semi-Decoupled Approach to Fast and Optimal Hardware-Software
  Co-Design of Neural Accelerators


Implementation of "SVDiff: Compact Parameter Space for Diffusion Fine-Tuning"

Token Merging for Fast Stable Diffusion

Decoupled Textual Embeddings for Customized Image Generation


Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models

Unsupervised Object Learning via Common Fate

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model


multi-agent deep reinforcement learning for networked system control.

Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Multi-agent Reinforcement Learning for Networked System Control

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility


H&E histopathological staining normalization

Predicting molecular phenotypes from histopathology images: a
  transcriptome-wide expression-morphology analysis in breast cancer

Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling

Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images


A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

Few-Shot Representation Learning for Out-Of-Vocabulary Words


This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

Improving Style Transfer with Calibrated Metrics

Quantitative Evaluation of Style Transfer

The Cognition of Audience to Artistic Style Transfer


SKESA assembler

Database resources of the National Center for Biotechnology Information

SKESA: strategic k-mer extension for scrupulous assemblies

Genomic Characteristics of Stx2e-Producing Escherichia coli Strains Derived from Humans, Animals, and Meats

High Prevalence and Persistence of Escherichia coli Strains Producing Shiga Toxin Subtype 2k in Goat Herds

Molecular characterisation of Acinetobacter baumannii isolates from bloodstream infections in a tertiary-level hospital in South Africa

In Vitro Activity of Ceftolozane-Tazobactam against Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa Obtained from Blood Cultures from Sentinel Public Hospitals in South Africa


Learning Framework for Neural Abstractive Text Summarization

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization

Abstractive Document Summarization with Word Embedding Reconstruction


Noise Conditional Score Networks (NeurIPS 2019, Oral)

Score-Based Generative Modeling through Stochastic Differential Equations

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Sliced Score Matching: A Scalable Approach to Density and Score Estimation

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

Estimating High Order Gradients of the Data Distribution by Denoising

Imitation with Neural Density Models

Accelerating Score-based Generative Models for High-Resolution Image
  Synthesis

Kernel Stein Generative Modeling


Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

Continuous control with deep reinforcement learning

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-Aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI


RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Probing Structured Semantics Understanding and Generation of Language
  Models via Question Answering

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions


A toolbox of Hawkes processes

Learning Hawkes Processes from Short Doubly-Censored Event Sequences

CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Modeling Events and Interactions through Temporal Processes -- A Survey


Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network

Accurate Learning of Graph Representations with Graph Multiset Pooling

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

FusionRetro: Molecule Representation Fusion via In-Context Learning for
  Retrosynthetic Planning


Geodesic Multi-Modal Mixup for Robust Fine-Tuning

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using
  Vision-Language Models

Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift


Deep learning models and dataset for recognizing industrial smoke emissions

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Timeception for Complex Action Recognition

Project RISE: Recognizing Industrial Smoke Emissions


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

Calibrating Deep Neural Networks using Focal Loss

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

Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations

International Joint Conference on Neural Network


[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

Multi-Stage Progressive Image Restoration

Restormer: Efficient Transformer for High-Resolution Image Restoration

CycleISP: Real Image Restoration via Improved Data Synthesis


A simple implementation of Style-Based Generator Architecture for Generative Adversarial Networks with pytorch

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

A Style-Based Generator Architecture for Generative Adversarial Networks

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

Which Training Methods for GANs do actually Converge?

Minecraft-ify: Minecraft Style Image Generation with Text-guided Image
  Editing for In-Game Application


Molecular representation learning with language models and domain-relevant auxiliary tasks

Multimodal model with text and drug embeddings for adverse drug reaction classification

Traditional Machine and Deep Learning for Predicting Toxicity Endpoints

Target-Free Compound Activity Prediction via Few-Shot Learning


Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

Task-adaptive Neural Process for User Cold-Start Recommendation

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming


Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning


Self-Instruct: Aligning Language Models with Self-Generated Instructions

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Instruction Tuning for Large Language Models: A Survey

Chinese Open Instruction Generalist: A Preliminary Release


Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Definitions, methods, and applications in interpretable machine learning

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

Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis

A Typology for Exploring the Mitigation of Shortcut Behavior

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees

Interpreting and improving deep-learning models with reality checks


Python scripts for training/testing paragraph vectors

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Reconsidering Representation Alignment for Multi-view Clustering

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures

How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions

Workshop on Evaluating Vector-Space Representations for NLP

Heteroglossia: In-Situ Story Ideation with the Crowd

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

Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes

Context Aware Document Embedding


Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model

Computational intelligence and neuroscience

Is “hot pizza” Positive or Negative? Mining Target-aware Sentiment Lexicons

Conference of the European Chapter of the Association for Computational Linguistics


Unsupervised Domain Adaptation Augmented by Mutually Boosted Attention for Semantic Segmentation of VHR Remote Sensing Images

IEEE transactions on geoscience and remote sensing

SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object
  and Boundary Constraints


NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI

Medical Image Computing and Computer-Assisted Intervention

Retrospective motion correction in foetal MRI for clinical applications: existing methods, applications and integration into clinical practice

The British journal of radiology/British journal of radiology

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI

Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data

AFFIRM: Affinity Fusion-Based Framework for Iteratively Random Motion Correction of Multi-Slice Fetal Brain MRI

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis


Fast, accurate and easy to run dense optical flow with python wrapper

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Distillation Multiple Choice Learning for Multimodal Action Recognition

Learned Multi-View Texture Super-Resolution

Learned optical flow for intra-operative tracking of the retinal fundus

International journal of computer assisted radiology and surgery


Subpopulation detection in high-dimensional single-cell data

Baricitinib treatment resolves lower-airway macrophage inflammation and neutrophil recruitment in SARS-CoV-2-infected rhesus macaques

Single-cell transcriptomic analysis of mIHC images via antigen mapping

Multiple site place-of-care manufactured anti-CD19 CAR-T cells induce high remission rates in B-cell malignancy patients

The immune landscape of human thymic epithelial tumors

Baricitinib treatment resolves lower airway inflammation and neutrophil recruitment in SARS-CoV-2-infected rhesus macaques

bioRxiv : the preprint server for biology

Applications of Community Detection Algorithms to Large Biological Datasets

SCHNEL: Scalable clustering of high dimensional single-cell data


Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Attention Is All You Need

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

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection


Creative Commons Attribution Share Alike 4.0 International

A dataset of complex questions on semi-structured Wikipedia tables

Compositional Semantic Parsing on Semi-Structured Tables

Conversational question answering: a survey

Benchmarking and Defending Against Indirect Prompt Injection Attacks on
  Large Language Models

Natural Language Interfaces to Data

ReAcTable: Enhancing ReAct for Table Question Answering

Abductive Matching in Question Answering


Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context

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

International Conference on Acoustics, Speech, and Signal Processing


A Java implementation of the Acme Air Sample Application.

Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction

A Hierarchical-DBSCAN Method for Extracting Microservices from
  Monolithic Applications

Proactive Random-Forest Autoscaler for Microservice Resource Allocation

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture

An expert system for redesigning software for cloud applications

Lessons learned from hyper-parameter tuning for microservice candidate identification

Container Density Improvements with Dynamic Memory Extension using NAND Flash


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

International Conference on Software Engineering

Smart Contract Vulnerability Detection Technique: A Survey

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

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


A paper list of pre-trained language models (PLMs).

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ��

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

Pre-trained models for natural language processing: A survey

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Natural Language Understanding with Privacy-Preserving BERT

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

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining

GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval

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

Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval


Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency

Semi-supervised lane detection with Deep Hough Transform


A Greek edition of BERT pre-trained language model

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

GREEK-BERT: The Greeks visiting Sesame Street

Hellenic Conference on Artificial Intelligence

Multimodal Hate Speech Detection in Greek Social Media

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive
  Language Identification in Social Media


Official code Cross-Covariance Image Transformer (XCiT)

XCiT: Cross-Covariance Image Transformers

Bridging the Gap Between Vision Transformers and Convolutional Neural
  Networks on Small Datasets

PE-former: Pose Estimation Transformer


Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

Direct Preference-based Policy Optimization without Reward Modeling

Zero-shot Preference Learning for Offline RL via Optimal Transport


Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Slimmable Neural Networks

Universally Slimmable Networks and Improved Training Techniques

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

Dynamic ConvNets on Tiny Devices via Nested Sparsity


Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

Empirical Methods in Natural Language Processing

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Interdisciplinary Fairness in Imbalanced Research Proposal Topic
  Inference: A Hierarchical Transformer-based Method with Selective
  Interpolation


An infant cry audio corpus that's being built through the Donate-a-cry campaign - see http://donateacry.com

A review of infant cry analysis and classification

EURASIP Journal on Audio, Speech, and Music Processing

Classification of Baby Cry Sound Using Higuchi’s Fractal Dimension with K-Nearest Neighbor and Support Vector Machine

A Comprehensive Literature Review on Children’s Databases for Machine Learning Applications


Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Deep Learning on Graphs: A Survey

Graph Random Neural Network for Semi-Supervised Learning on Graphs

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Adversarial Attack and Defense on Graph Data: A Survey

Graph Sanitation with Application to Node Classification

EDoG: Adversarial Edge Detection For Graph Neural Networks


Predictive Filter Flow for fully/self-supervised learning on various vision tasks

Recurrent Pixel Embedding for Instance Grouping

A Survey of Deep Learning for Scientific Discovery

Image Reconstruction with Predictive Filter Flow


(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Graceful Degradation and Related Fields

Rethinking Unsupervised Domain Adaptation for Semantic Segmentation


Semi-supervised learning for object detection

A Simple Semi-Supervised Learning Framework for Object Detection

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset
  for Autonomous Driving

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete
  Annotations


Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

An empirical study of derivative-free-optimization algorithms for targeted black-box attacks in deep neural networks


Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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

VMamba: Visual State Space Model


Zero-Shot Learning with GCN (CVPR 2018)

Synthesized Classifiers for Zero-Shot Learning

Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs

Zero-shot Node Classification with Decomposed Graph Prototype Network


[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Local and Global GANs with Semantic-Aware Upsampling for Image
  Generation


MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Learning Video Representations from Correspondence Proposals


主流推荐系统Rank算法的实现

Wide & Deep Learning for Recommender Systems

Deep Interest Network for Click-Through Rate Prediction

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Product-based Neural Networks for User Response Prediction

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS


Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Federated Optimization in Heterogeneous Networks

Adaptive Personalized Federated Learning

Find Your Friends: Personalized Federated Learning with the Right
  Collaborators

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

ニューフードインダストリー

Characterizing Internal Evasion Attacks in Federated Learning


Pre-trained Word2Vec models for Vietnamese

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit

North American Chapter of the Association for Computational Linguistics

Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model

A Simple and Efficient Ensemble Classifier Combining Multiple Neural
  Network Models on Social Media Datasets in Vietnamese

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


A (continuously updated) collection of references to Hi-C data. Predominantly human/mouse Hi-C data, with replicates.

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Topological domains in mammalian genomes identified by analysis of chromatin interactions

Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes

Cohesin Loss Eliminates All Loop Domains

A high-resolution map of the three-dimensional chromatin interactome in human cells

Multiscale 3D Genome Rewiring during Mouse Neural Development

Organization of the Mitotic Chromosome

Two independent modes of chromatin organization revealed by cohesin removal

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

Cohesin and CTCF differentially affect chromatin architecture and gene expression in human cells

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


Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Dynamic Graph CNN for Learning on Point Clouds

Relation-Shape Convolutional Neural Network for Point Cloud Analysis


PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529

Zero-Shot Text-to-Image Generation

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

BEVT: BERT Pretraining of Video Transformers


e-SNLI: Natural Language Inference with Natural Language Explanations

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Explaining Deep Neural Networks

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal
  Sufficient Subsets

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference

Meeting of the Association for Computational Linguistics

Explanation-based Finetuning Makes Models More Robust to Spurious Cues


MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Score-based diffusion models for accelerated MRI

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

The journal of machine learning for biomedical imaging

Deep, Deep Learning with BART

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction


PyTorch implementation of Trust Region Policy Optimization

Trust Region Policy Optimization

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

Self-Imitation Learning from Demonstrations

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Learning to Constrain Policy Optimization with Virtual Trust Region


Open-vocabulary Semantic Segmentation

A Simple Baseline for Open-Vocabulary Semantic Segmentation with
  Pre-trained Vision-language Model

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models


KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning

A Survey of Knowledge-enhanced Text Generation

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

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

RHO (ρ): Reducing Hallucination in Open-domain Dialogues with
  Knowledge Grounding


Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Recurrent Neural Network Grammars

Bidirectional LSTM-CRF Models for Sequence Tagging

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Ludwig: a type-based declarative deep learning toolbox


(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis

Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images


Lightning Fast Language Prediction

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

Automatic Language Identification in Texts: A Survey

The LMU Munich Unsupervised Machine Translation System for WMT19

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

Great Expectations: Unsupervised Inference of Suspense, Surprise and
  Salience in Storytelling


FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Social Biases through the Text-to-Image Generation Lens

Canonical Saliency Maps: Decoding Deep Face Models

Class Attribute Inference Attacks: Inferring Sensitive Class Information
  by Diffusion-Based Attribute Manipulations

Comparing Deep Neural Nets with UMAP Tour


[CVPR2020] Official SPAQ & Implementation

Perceptual Quality Assessment of Smartphone Photography

A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors

No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features

On strange images with application to lossy image compression

Comparing the robustness of modern no-reference image- and video-quality
  metrics to adversarial attacks


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

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

How good is my GAN?

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

What makes fake images detectable? Understanding properties that generalize

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

On Self Modulation for Generative Adversarial Networks

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Synthesis of diagnostic quality cancer pathology images


The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest

A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images

Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas


NIPS 2017 Value Prediction Network

Value Prediction Network

PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning


End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve

PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction

MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction


NOVOPlasty - The organelle assembler and heteroplasmy caller

NOVOPlasty: de novo assembly of organelle genomes from whole genome data

A systematic comparison of chloroplast genome assembly tools

Unraveling heteroplasmy patterns with NOVOPlasty

Eight Million Years of Satellite DNA Evolution in Grasshoppers of the Genus Schistocerca Illuminate the Ins and Outs of the Library Hypothesis

Complete chloroplast genome sequence and phylogenetic analysis of Spathiphyllum 'Parrish'

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

bioRxiv : the preprint server for biology

Degradation of key photosynthetic genes in the critically endangered semi-aquatic flowering plant Saniculiphyllum guangxiense (Saxifragaceae)

Recent range expansion in Australian hummock grasses (Triodia) inferred using genotyping-by-sequencing

Sequence Characteristics and Phylogenetic Analysis of the Artemisia argyi Chloroplast Genome

Characterization of the complete mitochondrial genome of Blaps rynchopetera Fairmaire (Insecta: Coleoptera: Tenebrionidae) from Dali


Easy to use Beamformers for multi-channel speech separation/enhancement

Multi-channel Narrow-band Deep Speech Separation with Full-band
  Permutation Invariant Training

Multichannel Speech Separation with Narrow-band Conformer

McNet: Fuse Multiple Cues for Multichannel Speech Enhancement


Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Adversarial Training for Free!

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Bag of Tricks for Adversarial Training

Efficient Adversarial Training with Transferable Adversarial Examples


This directory contains code necessary to run the GraphNAS algorithm.

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Search to aggregate neighborhood for graph neural network

Pooling Architecture Search for Graph Classification

Simplifying Architecture Search for Graph Neural Network

Probabilistic Dual Network Architecture Search on Graphs

Neural Architecture Search in Graph Neural Networks

Adversarially Robust Neural Architecture Search for Graph Neural Networks

DFG-NAS: Deep and Flexible Graph Neural Architecture Search


STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network

High Resolution Face Editing with Masked GAN Latent Code Optimization

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection

Human-interpretable model explainability on high-dimensional data

Can GAN-induced Attribute Manipulations Impact Face Recognition?


NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs

Learnable Hypergraph Laplacian for Hypergraph Learning

Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs

AHP: Learning to Negative Sample for Hyperedge Prediction

Preventing Over-Smoothing for Hypergraph Neural Networks

I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent
  Node Embeddings


PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

SinGAN: Learning a Generative Model from a Single Natural Image

One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU


How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE transactions on artificial intelligence

Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection

International journal of environmental research and public health

Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT

Eastern-European journal of enterprise technologies

Automatic facial emotion recognition at the COVID-19 pandemic time

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

COVID-19 Face Mask Recognition with Advanced Face Cut Algorithm for Human Safety Measures

COVID-19 Face Mask Detection

International journal for research in applied science and engineering technology

Mask Detection and Classification in Thermal Face Images

Deep learning techniques for detecting and recognizing face masks: A survey


Procedural tree creation library

On the Role of Field of View for Occlusion Removal with Airborne Optical
  Sectioning

Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

3D Infomax improves GNNs for Molecular Property Prediction

Improving Molecular Pretraining with Complementary Featurizations


PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks


Collaborative Memory Network for Recommendation Systems, SIGIR 2018

International ACM SIGIR Conference on Research and Development in Information Retrieval

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Consistency-Aware Recommendation for User-Generated Item List Continuation

Neighborhood Attentional Memory Networks for Recommendation Systems


(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

Generative Adversarial Imitation Learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Imitation Learning via Off-Policy Distribution Matching

IQ-Learn: Inverse soft-Q Learning for Imitation

A Ranking Game for Imitation Learning

Proximal Point Imitation Learning

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

CEIL: Generalized Contextual Imitation Learning

Basis for Intentions: Efficient Inverse Reinforcement Learning using
  Past Experience


Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Temporal Ensembling for Semi-Supervised Learning

Averaging Weights Leads to Wider Optima and Better Generalization

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average


Gated Attention Reader for Text Comprehension

Gated-Attention Readers for Text Comprehension

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Quasar: Datasets for Question Answering by Search and Reading

A Comparative Study of Word Embeddings for Reading Comprehension

YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles

Read and Comprehend by Gated-Attention Reader with More Belief

North American Chapter of the Association for Computational Linguistics


Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

Bridging the Gap to Real-World Object-Centric Learning

High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Weighted Ensemble Self-Supervised Learning

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal
  Prototypes


Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Enhanced Deep Residual Networks for Single Image Super-Resolution

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Wide Activation for Efficient and Accurate Image Super-Resolution

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method

Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing

A new public Alsat-2B dataset for single-image super-resolution

Evaluating Deep Neural Networks for Image Document Enhancement

On the inverse Potts functional for single-image super-resolution problems


MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions

Proxy-bridged Image Reconstruction Network for Anomaly Detection in
  Medical Images


The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Video Super Resolution Based on Deep Learning: A Comprehensive Survey

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution.

Self-Supervised Adaptation for Video Super-Resolution


[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

Tensor Component Analysis for Interpreting the Latent Space of GANs

Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models

Proceedings of the 12th Hellenic Conference on Artificial Intelligence


The Continuous Convolution Operator Tracker (C-COT).

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Learning Visual Servoing with Deep Features and Fitted Q-Iteration


An overview of all nanopack tools

NanoPack: visualizing and processing long-read sequencing data

NanoPack2: population-scale evaluation of long-read sequencing data

Single-cell architecture and functional requirement of alternative splicing during hematopoietic stem cell formation

Application of third-generation sequencing in cancer research

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical
  Image Segmentation

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.


This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

Quaternion Recurrent Neural Networks

Quaternion Convolutional Neural Networks for Heterogeneous Image Processing

Clifford Neural Layers for PDE Modeling

Compressing deep quaternion neural networks with targeted regularization

CAAI transactions on intelligence technology

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural
  Networks for Speech Recognition

Speech recognition with quaternion neural networks

Learning Speech Emotion Representations in the Quaternion Domain


code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis

Constituency Lattice Encoding for Aspect Term Extraction

International Conference on Computational Linguistics

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution


Time Series Analysis Models Source Code with Deep Learning Algorithms

Temporal Cross-Effects in Knowledge Tracing

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction

Learning Dynamic Embeddings for Temporal Knowledge Graphs

AutoAI-TS: AutoAI for Time Series Forecasting

Real-time Data Infrastructure at Uber

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FeatTS: Feature-based Time Series Clustering

TSExplain: Surfacing Evolving Explanations for Time Series

Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network


Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

Mitigating Language-Dependent Ethnic Bias in BERT

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets

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


Two-Stream Neural Networks for Tampered Face Detection

Noiseprint: a CNN-based camera model fingerprint

Content-aware detection of JPEG grid inconsistencies for intuitive image forensics

Zenodo (CERN European Organization for Nuclear Research)

Forgery Detection in Digital Images by Multi-Scale Noise Estimation

Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning

On the Effectiveness of Image Manipulation Detection in the Age of
  Social Media

Rethinking Image Forgery Detection via Contrastive Learning and
  Unsupervised Clustering


This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).

Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset

Forest Fire Detection via Feature Entropy Guided Neural Network

Instance segmentation using semi-supervised learning for fire recognition


[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration

Zero-Shot Visual Imitation

Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning

Reinforcement Learning-Based Visual Navigation With Information-Theoretic Regularization


NIST_FRVT Top 1 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑ Face Recognition ☑ Face Liveness Detection ☑ Face Attribute Analysis

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

Learning Face Representation from Scratch

A Light CNN for Deep Face Representation with Noisy Labels

DeepID3: Face Recognition with Very Deep Neural Networks

Learn Convolutional Neural Network for Face Anti-Spoofing

Searching Central Difference Convolutional Networks for Face Anti-Spoofing


Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Multivariate LSTM-FCNs for Time Series Classification

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

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

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

Fake news detection: A survey of graph neural network methods

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Handling Variable-Dimensional Time Series with Graph Neural Networks

Classification of multivariate functional data on different domains with Partial Least Squares approaches


Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Deep learning based Sequential model for malware analysis using Windows exe API Calls

Data Augmentation Based Malware Detection using Convolutional Neural Networks

A Benchmark API Call Dataset for Windows PE Malware Classification

Analyzing the performance of long short‐term memory architectures for malware detection models


A new framework for open-vocabulary object detection, based on maskrcnn-benchmark

Open-Vocabulary Object Detection Using Captions

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes


An Empirical Study of Training Self-Supervised Vision Transformers

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

Medical Image Computing and Computer-Assisted Intervention

Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis

A General-Purpose Self-Supervised Model for Computational Pathology

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges


[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Evaluating Object Hallucination in Large Vision-Language Models

HallusionBench: An Advanced Diagnostic Suite for Entangled Language
  Hallucination & Visual Illusion in Large Vision-Language Models

MMC: Advancing Multimodal Chart Understanding with Large-scale
  Instruction Tuning


Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

Reinforcement Learning on Graphs: A Survey

Simple and automated negative sampling for knowledge graph embedding


Code for Dynamic Feature Fusion for Semantic Edge Detection   https://arxiv.org/abs/1902.09104

CASENet: Deep Category-Aware Semantic Edge Detection

LiteEdge: Lightweight Semantic Edge Detection Network

International Conference on Computer Vision


Sparse Filtering


Neural text-to-text question generation

Machine Comprehension by Text-to-Text Neural Question Generation

Multi-Perspective Context Matching for Machine Comprehension

Evaluating Rewards for Question Generation Models

Open-Domain Question Answering with Pre-Constructed Question Spaces


Turkish BERT/DistilBERT, ELECTRA and ConvBERT models

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive
  Language Identification in Social Media

SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets

International Workshop on Semantic Evaluation

Pre-training and Evaluating Transformer-based Language Models for Icelandic

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

On the Role of Morphological Information for Contextual Lemmatization

Tweets Under the Rubble: Detection of Messages Calling for Help in
  Earthquake Disaster


Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Glow: Generative Flow with Invertible 1x1 Convolutions

Inductive Representation Learning on Temporal Graphs


Unsupervised Person Re-identification: Clustering and Fine-tuning


Sign Language Transformers (CVPR'20)

Sign Language Transformers: Joint End-to-end Sign Language Recognition
  and Translation

Frozen Pretrained Transformers for Neural Sign Language Translation

SLTUNET: A Simple Unified Model for Sign Language Translation

A Token-level Contrastive Framework for Sign Language Translation


Larger resolution face masked, weirdly warped, deepfake,

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

Deep Learning for Deepfakes Creation and Detection: A Survey

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

DeepFake Detection: Current Challenges and Next Steps

Combining EfficientNet and Vision Transformers for Video Deepfake Detection

Deepfake Detection using Spatiotemporal Convolutional Networks

Protecting Celebrities from DeepFake with Identity Consistency Transformer

Towards Universal Fake Image Detectors that Generalize Across Generative Models

Deepfake Videos in the Wild: Analysis and Detection


A 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different view-angles and body-poses.

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs


VQVAEs, GumbelSoftmaxes and friends

Categorical Reparameterization with Gumbel-Softmax

Neural Discrete Representation Learning

Online Variational Filtering and Parameter Learning


Competition-Level Code Generation with AlphaCode

Programming Is Hard -- Or at Least It Used to Be: Educational
  Opportunities And Challenges of AI Code Generation

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Planning with Large Language Models for Code Generation

RunBugRun -- An Executable Dataset for Automated Program Repair

Neural Machine Translation for Code Generation