The dataset and baseline code for Text-to-Audio Grounding (TAG)

Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events

Towards Weakly Supervised Text-to-Audio Grounding

Investigating Pooling Strategies and Loss Functions for Weakly-Supervised Text-to-Audio Grounding via Contrastive Learning

2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

AudioTime: A Temporally-aligned Audio-text Benchmark Dataset


EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples

On the Limitation of MagNet Defense against L_1-based Adversarial Examples

ON THE UTILITY OF CONDITIONAL GENERATION BASED MUTUAL INFORMATION FOR CHARACTERIZING ADVERSARIAL SUBSPACES


Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"

Dynamic Network Embedding Survey

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View


This is a repository for annotation data for the THYME Project, a clinical natural language processing project dedicated to extracting useful temporal relations from the clinical narrative.

SemEval-2015 Task 6: Clinical TempEval

North American Chapter of the Association for Computational Linguistics

SemEval-2017 Task 12: Clinical TempEval

Meeting of the Association for Computational Linguistics

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks


Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.

Large Batch Training of Convolutional Networks

Large-Batch Training for LSTM and Beyond

Stochastic Normalized Gradient Descent with Momentum for Large Batch Training

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning


PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)

Entity-level Factual Adaptiveness of Fine-tuning based Abstractive
  Summarization Models


This project is a tool to build CheXNet-like models, written in Keras.

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

An Aggregate Method for Thorax Diseases Classification

Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs

Journal of medical imaging (Bellingham, Wash.)


Level-Based Foraging (LBF): A multi-agent reinforcement learning environment

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Interaction


CWL+Singularity implementation of an RNA editing workflow

Singularity: Scientific containers for mobility of compute

Common Workflow Language, v1.0

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

The C. elegans neural editome reveals an ADAR target mRNA required for proper chemotaxis

Evaluation of Engineered CRISPR-Cas-Mediated Systems for Site-Specific RNA Editing


The MNIST handwritten digit images transformed into a data set for sequence learning. This data set contains pen stroke sequences based on the original MNIST images.

Aligning Time Series on Incomparable Spaces

Incremental Sequence Learning

Continual Learning in Recurrent Neural Networks with Hypernetworks.


SurFree: a fast surrogate-free black-box attack

Exploring Transferability on Adversarial Attacks

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


Graph Neural Network for Traffic Forecasting: A Survey

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting


Creative Commons Attribution Share Alike 4.0 International

Adversarial attacks on explanations and how to defend them

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Trends in Explainable AI (XAI) Literature


Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)

Recommendations for Processing Head CT Data

Predicting Post-Stroke Somatosensory Function from Resting-State Functional Connectivity: A Feasibility Study

The central role of the left inferior longitudinal fasciculus in the face‐name retrieval network

A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage


Visual question answering for CVPR16 VQA Challenge.

Dynamic Memory Networks for Visual and Textual Question Answering

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Open-Ended Visual Question-Answering


QAFactEval Summarization Factual Consistency Metric

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Proceedings of the 5th Clinical Natural Language Processing Workshop

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization

Automatically Evaluating Opinion Prevalence in Opinion Summarization


Central Difference Convolutional Networks (CVPR'20)

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Dual-Cross Central Difference Network for Face Anti-Spoofing

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review

Review of Face Presentation Attack Detection Competitions

Automatic adaptive weighted fusion of features-based approach for plant disease identification


N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series Prediction

The Rise of Diffusion Models in Time-Series Forecasting


Code for "Neural Tangent Generalization Attacks" (ICML 2021)

Densely Connected Convolutional Networks

Availability Attacks Create Shortcuts

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

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning

Indiscriminate Poisoning Attacks Are Shortcuts.

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

Single-level Adversarial Data Synthesis based on Neural Tangent Kernels


MarginDistillation: distillation for margin-based softmax

Triplet Distillation for Deep Face Recognition

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks


Quick Start Guide for MARIDA (Marine Debris Archive)

MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data


This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

prDeep: Robust Phase Retrieval with a Flexible Deep Network

Adaptive Block Compressive Sensing: Toward a Real-Time and Low-Complexity Implementation

DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval


Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2024'

Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer

bioRxiv : the preprint server for biology


Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

What Are Tools Anyway? A Survey from the Language Model Perspective


Inference of high-quality embeddings of complex networks into the hyperbolic disk.

Mercator: uncovering faithful hyperbolic embeddings of complex networks

The inherent community structure of hyperbolic networks

Hyperbolic disc embedding of functional human brain connectomes using resting state fMRI

Embedding-aided network dismantling

Hyperbolic mapping of human proximity networks

Topology and Geometry of the Third-Party Domains Ecosystem: Measurement and Applications


GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

Monthly Notices of the Royal Astronomical Society

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Large-Scale Heteroscedastic Regression via Gaussian Process

Degradation analysis in the estimation of photometric redshifts from non-representative training sets


A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in resting-state functional MRI Data

Towards a predictive spatio-temporal representation of brain data

A deep spatiotemporal graph learning architecture for brain connectivity analysis

International Conference of the IEEE Engineering in Medicine and Biology Society


Toward Deep Drum Source Separation

Learning to Groove with Inverse Sequence Transformations

Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset


Lexically constrained text generation with CBART.

Parallel Refinements for Lexically Constrained Text Generation with BART

AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation


A light-weight tool for converting CAD drawings into the GDML format.

Internal alignment and position resolution of the silicon tracker of DAMPE determined with orbit data

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

Reconstruction software of the silicon tracker of DAMPE mission

Efficient determination of HPGe γ-ray efficiencies at high energies with ready-to-use simulation software


This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map".

Deep neural network models for computational histopathology: A survey

Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications

Assessing the Impact of Color Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks

Frontiers in bioengineering and biotechnology


WaveGAN: Learn to synthesize raw audio with generative adversarial networks

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis

Adversarial Generation of Time-Frequency Features with application in audio synthesis

Latent Translation: Crossing Modalities by Bridging Generative Models

Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks

The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models

Neural Granular Sound Synthesis


Using TCR and expression for sequence embedding

TCR-independent CD137 (4-1BB) signaling promotes CD8+-exhausted T cell proliferation and terminal differentiation


U-NO: U-shaped Neural Operators

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning


Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction


Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

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

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification

Neural Data Augmentation via Example Extrapolation

Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Segmenting Natural Language Sentences via Lexical Unit Analysis

Parallel Intent and Slot Prediction using MLB Fusion

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models


Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

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

Deep reinforcement learning from human preferences

Deep Exploration via Bootstrapped DQN


Path Integral Sampler: a stochastic control approach for sampling

Annealed Flow Transport Monte Carlo

Flow Annealed Importance Sampling Bootstrap

Continual Repeated Annealed Flow Transport Monte Carlo

Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling


Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"

Effective Approaches to Attention-based Neural Machine Translation

RobustFill: Neural Program Learning under Noisy I/O

Learning to Combine Per-Example Solutions for Neural Program Synthesis

Learning Fitness Functions for Genetic Algorithms


Poisson Identifiable VAE  (pi-VAE)

Learnable latent embeddings for joint behavioral and neural analysis

Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE

Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems


Improving Scene Text Image Super-Resolution via  Dual Prior Modulation Network (AAAI 2023)

Scene Text Image Super-Resolution in the Wild

Improving Scene Text Image Super-resolution via Dual Prior Modulation Network


Attention U-Net: Learning Where to Look for the Pancreas

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation


Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound


An open toolbox for NSFW & toxicity detection

LAION-5B: An open large-scale dataset for training next generation image-text models

What matters when building vision-language models?


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

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

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

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

Drug Discovery with Dynamic Goal-aware Fragments

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


Official PyTorch implementation of the TIP paper "Generating Visually Aligned Sound from Videos" and the corresponding Visually Aligned Sound (VAS) dataset.

WaveNet: A Generative Model for Raw Audio

Visual to Sound: Generating Natural Sound for Videos in the Wild

VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement


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

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

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

A transcriptomic atlas of the human brain reveals genetically determined aspects of neuropsychiatric health

medRxiv : the preprint server for health sciences


Indels are not ideal - quick test for interrupted ORFs in bacterial/microbial genomes

Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery

Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces

Complete Reference Genome Assembly for Commensalibacter sp. Strain AMU001, an Acetic Acid Bacterium Isolated from the Gut of Honey Bees

Presence of optrA-mediated linezolid resistance in multiple lineages and plasmids of Enterococcus faecalis revealed by long read sequencing

Complete or High-Quality Draft Genome Sequences of Six Xanthomonas hortorum Strains Sequenced with Short- and Long-Read Technologies

Complete Genome Sequence of Streptococcus pneumoniae Strain Rx1, a Hex Mismatch Repair-Deficient Standard Transformation Recipient

The StkSR Two-Component System Influences Colistin Resistance in Acinetobacter baumannii

Complete Genome Sequence of Lactobacillus crispatus Type Strain ATCC 33820

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Complete Genome Sequences of Mycobacterium chimaera Strains 850 and 852, Isolated from Heater-Cooler Unit Water


Development repository for the `ez` package for R

The Semantic Content of Abstract Concepts: A Property Listing Study of 296 Abstract Words

No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades

Reduced Frontal Nogo-N2 With Uncompromised Response Inhibition During Transcutaneous Vagus Nerve Stimulation—More Efficient Cognitive Control?

Dissociable neural correlates of stimulation intensity and detection in somatosensation

Investigating Fast Mapping Task Components: No Evidence for the Role of Semantic Referent nor Semantic Inference in Healthy Adults

Macular Pigment Response to Lutein, Zeaxanthin, and Meso-zeaxanthin Supplementation in Open-Angle Glaucoma

An Exploratory Study Combining Eye-Tracking and Virtual Reality: Are Pulses Good “Eye-Catchers” in Virtual Supermarket Shelves?

Spontaneous eye movements during focused-attention mindfulness meditation

Does Transcranial Direct Current Stimulation (tDCS) Improve Disgust Regulation Through Imagery Rescripting?

Neural valuation of rewards and punishments in posttraumatic stress disorder: a computational approach


ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Artificial Intelligence in Drug Discovery: Applications and Techniques

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model

Convolutional Neural Networks and Volcano Plots: Screening and
  Prediction of Two-Dimensional Single-Atom Catalysts


Code/figures in Right for the Right Reasons

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

A Typology for Exploring the Mitigation of Shortcut Behavior

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

Next2You: Robust Copresence Detection Based on Channel State Information

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.


Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot
  Unsupervised Anomalous Sound Detection for Machine Condition Monitoring


The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Deep Back-Projection Networks For Super-Resolution

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Deep Back-Projection Networks for Single Image Super-resolution

Kernelized Back-Projection Networks for Blind Super Resolution


repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Galaxy morphology classification using neural ordinary differential equations

Latent Time Neural Ordinary Differential Equations

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control


A program for detection of tRNA genes

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

A telomere-to-telomere reference genome provides genetic insight into the pentacyclic triterpenoid biosynthesis in Chaenomeles speciosa

A Chromosome-Level Genome Assembly and Annotation for the Clouded Apollo Butterfly (Parnassius mnemosyne): A Species of Global Conservation Concern.


Her2 Breast Cancer Project

Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions

Zenodo (CERN European Organization for Nuclear Research)

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

Genomic and microenvironmental heterogeneity shaping epithelial-to-mesenchymal trajectories in cancer

THItoGene: a deep learning method for predicting spatial transcriptomics from histological images

Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model


GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation

Towards Quantifiable Dialogue Coherence Evaluation

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation

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


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

Adversarial Attack across Datasets

Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of
  SAR ATR


NLR-Annotator upload

Multiple wheat genomes reveal global variation in modern breeding

BED-domain-containing immune receptors confer diverse resistance spectra to yellow rust

NRG1 functions downstream of EDS1 to regulate TIR-NLR-mediated plant immunity in Nicotiana benthamiana

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

The NLR-Annotator Tool Enables Annotation of the Intracellular Immune Receptor Repertoire.

Chromosome-scale comparative sequence analysis unravels molecular mechanisms of genome dynamics between two wheat cultivars

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

BED domain‐containing NLR from wild barley confers resistance to leaf rust

Variation in plant Toll/Interleukin-1 receptor domain protein dependence on ENHANCED DISEASE SUSCEPTIBILITY 1

Telomere-to-telomere and gap-free genome assembly of a susceptible grapevine species (Thompson Seedless) to facilitate grape functional genomics

Genome-Wide Identification, Characterization, and Comparative Analysis of NLR Resistance Genes in Coffea spp.


Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Interaction


DIRT: a fast differentiable renderer for TensorFlow

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

Leveraging 2D Data to Learn Textured 3D Mesh Generation

Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision


Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Graph Neural Networks: A Review of Methods and Applications

Spectral Networks and Locally Connected Networks on Graphs

Deep Convolutional Networks on Graph-Structured Data

Graph Neural Networks with distributed ARMA filters

Spectral Clustering with Graph Neural Networks for Graph Pooling

Graph convolutional neural networks via scattering

Applied and Computational Harmonic Analysis

Mincut pooling in Graph Neural Networks.

State of the Art and Potentialities of Graph-level Learning

PiNet: Attention Pooling for Graph Classification


Creative Commons Attribution 4.0 International

Röttger et al. (2023): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"

RewardBench: Evaluating Reward Models for Language Modeling

Unpacking DPO and PPO: Disentangling Best Practices for Learning from
  Preference Feedback


[ICCV 2021] WaveFill: A Wavelet-based Generation Network for Image Inpainting

Learning to Scale Temperature in Masked Self-Attention for Image Inpainting


PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression

Defending against Model Stealing via Verifying Embedded External Features

MOVE: Effective and Harmless Ownership Verification via Embedded External Features


Speaker anonymization pipeline for hiding the identity of the speaker of a recording by changing the voice in it.

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

The VoicePrivacy 2022 Challenge Evaluation Plan

Speaker Anonymization with Phonetic Intermediate Representations

Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

Probing the Feasibility of Multilingual Speaker Anonymization


PacBio hybrid error correction through iterative short read consensus

Reviving the Transcriptome Studies: An Insight Into the Emergence of Single-Molecule Transcriptome Sequencing

Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon

Whole Genome Sequence of an Edible and Potential Medicinal Fungus, Cordyceps guangdongensis

A draft genome assembly of halophyte Suaeda aralocaspica, a plant that performs C4 photosynthesis within individual cells

Genome Sequencing and Analysis of Thraustochytriidae sp. SZU445 Provides Novel Insights into the Polyunsaturated Fatty Acid Biosynthesis Pathway

Population Genomic Approaches for Weed Science

An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny


The Dataset for Multi Label Hate Speech and Abusive Language Detection in Indonesian Twitter

Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Deep Learning Models for Multilingual Hate Speech Detection

Identifikasi Ujaran Kebencian Multilabel Pada Teks Twitter Berbahasa Indonesia Menggunakan Convolution Neural Network

Jurnal Sistem Komputer dan Informatika (JSON)

Hate Speech Detection in Indonesian Twitter using Contextual Embedding Approach

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)


Providing up-to-date phage genome databases, metrics and useful input files for a number of bioinformatic pipelines.

A Roadmap for Genome-Based Phage Taxonomy

INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomes

Expanding the genomic encyclopedia of Actinobacteria with 824 isolate reference genomes

INfrastructure for a PHAge REference Database: Identification of large-scale biases in the current collection of phage genomes

Ecogenomics and cultivation reveal distinctive viral-bacterial communities in the surface microlayer of a Baltic Sea slick

Predicting stop codon reassignment improves functional annotation of bacteriophages

Genomic Characterization and Annotation of Two Novel Bacteriophages Isolated from a Wastewater Treatment Plant in Qatar

Driving through stop signs: predicting stop codon reassignment improves functional annotation of bacteriophages


Multi-Annotator Competence Estimation tool

Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes

Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification

Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification

Recent Advances in Natural Language Processing

A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreement


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


SudoLang LLM Support for VSCode

Prompting Is Programming: A Query Language for Large Language Models

Prompting Frameworks for Large Language Models: A Survey

Prompting with Pseudo-Code Instructions


Universal and Transferable Attacks on Aligned Language Models

Universal and Transferable Adversarial Attacks on Aligned Language Models

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

On Prompt-Driven Safeguarding for Large Language Models

Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing

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


A flexible, effective and fast cross-view gait recognition network

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules


Short Text Topic Modeling

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

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

Crude oil price forecasting incorporating news text

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


[AAAI 2022] Knowledge Bridging for Empathetic Dialogue Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory


A pytorch implementation to train the conditional imitation learning policy in "Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective".

End-to-end Driving via Conditional Imitation Learning

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


Solver for Large-Scale Rank-One Semidefinite Relaxations

LMI Properties and Applications in Systems, Stability, and Control Theory

A Quaternion-based Certifiably Optimal Solution to the Wahba Problem with Outliers

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

An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization


A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"

Backpropagation-Friendly Eigendecomposition

Robust Differentiable SVD

IEEE transactions on pattern analysis and machine intelligence

On the Eigenvalues of Global Covariance Pooling for Fine-Grained Visual Recognition

Fast Differentiable Matrix Square Root


Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)

Better Exploration with Optimistic Actor-Critic

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction


AlBERTo the first italian BERT model for Twitter languange understanding

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

How "BERTology" Changed the State-of-the-Art also for Italian NLP

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

Killing me softly: Creative and cognitive aspects of implicitness in abusive language online

Cross-lingual hate speech detection based on multilingual domain-specific word embeddings

A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare


PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition

Fair Machine Guidance to Enhance Fair Decision Making in Biased People

Proceedings of the CHI Conference on Human Factors in Computing Systems

A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition


ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

A Label Attention Model for ICD Coding from Clinical Text

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

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

Automated clinical coding using off-the-shelf large language models


Action-based galaxy modeling framework

AGAMA: action-based galaxy modelling architecture

Monthly notices of the Royal Astronomical Society

Diversity of Dark Matter Density Profiles in the Galactic Dwarf Spheroidal Satellites

A New Fokker–Planck Approach for the Relaxation-driven Evolution of Galactic Nuclei

A discrete chemo-dynamical model of the dwarf spheroidal galaxy Sculptor: mass profile, velocity anisotropy and internal rotation

Monthly Notices of the Royal Astronomical Society

Bending waves in the Milky Way’s disc from halo substructure

The Delay Time Distribution of Tidal Disruption Flares

Torus mapper: a code for dynamical models of galaxies

Cosmic phylogeny: reconstructing the chemical history of the solar neighbourhood with an evolutionary tree

Action-based dynamical models of dwarf spheroidal galaxies: application to Fornax

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo


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


Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)

Cyclical Learning Rates for Training Neural Networks

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule


Event StoryLine Corpus - annotated data, baselines and evaluation scripts, evaluation data.

The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction

Modeling Document-level Causal Structures for Event Causal Relation Identification

North American Chapter of the Association for Computational Linguistics

Event Causality Identification via Derivative Prompt Joint Learning

International Conference on Computational Linguistics

The Storyline Annotation and Representation Scheme (StaR): A Proposal

Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016)

UniCausal: Unified Benchmark and Repository for Causal Text Mining

Semantic Structure Enhanced Event Causality Identification

Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction

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

TacoERE: Cluster-aware Compression for Event Relation Extraction


A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.

Learning Deep Features for Discriminative Localization

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings

Atrial fibrillation classification using step-by-step machine learning

Biomedical Physics & Engineering Express


MultiTask Environments for Reinforcement Learning.

Multi-Task Reinforcement Learning with Context-based Representations

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Block Contextual MDPs for Continual Learning

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization

Contextualize Me -- The Case for Context in Reinforcement Learning


Omniglot data set for one-shot learning

The Omniglot challenge: a 3-year progress report

Algorithmic fairness datasets: the story so far

Brain-inspired global-local learning incorporated with neuromorphic computing

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Spectroscopic characterization of isomerization transition states

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

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation

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

Deep Reinforcement Learning

Few-shot and meta-learning methods for image understanding: a survey

International Journal of Multimedia Information Retrieval

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey


Muse: Text-To-Image Generation via Masked Generative Transformers

StyleDrop: Text-to-Image Generation in Any Style

aMUSEd: An Open MUSE Reproduction

iVideoGPT: Interactive VideoGPTs are Scalable World Models


Data and code supporting Hansen et al., 2022 "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"

Molecular basis underlying default mode network functional abnormalities in postpartum depression with and without anxiety

Network connectivity and local transcriptomic vulnerability underpin cortical atrophy progression in Parkinson's disease

Molecular signatures of attention networks

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

How brain structure–function decoupling supports individual cognition and its molecular mechanism

Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance


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

Are We Overestimating Protistan Diversity in Nature?

Zenodo (CERN European Organization for Nuclear Research)

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

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

EukRef-excavates: seven curated SSU ribosomal RNA gene databases

Database : the journal of biological databases and curation


Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Contrastive Learning for Unpaired Image-to-Image Translation

Underwater Image Restoration via Contrastive Learning and a Real-world Dataset


Official implementation of "Particle Transformer for Jet Tagging".

Jet tagging via particle clouds

Energy Flow Networks: Deep Sets for Particle Jets

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

Jet Tagging with More-Interaction Particle Transformer


Implementation of Glow in PyTorch

Glow: Generative Flow with Invertible 1x1 Convolutions

On Out-of-distribution Detection with Energy-based Models

Semantic Perturbations with Normalizing Flows for Improved Generalization

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Flow Based Models For Manifold Data.

Spread Flows for Manifold Modelling

One Reflection Suffice

Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers


2018AIOps: The 1st match for AIOps

Deep Contrastive One-Class Time Series Anomaly Detection

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection

Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data

Label-Efficient Interactive Time-Series Anomaly Detection

CARLA: Self-supervised contrastive representation learning for time series anomaly detection


[NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models

SeTAR: Out-of-Distribution Detection with Selective Low-Rank
  Approximation


Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations


Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

DepthTrack : Unveiling the Power of RGBD Tracking

Awesome Multi-modal Object Tracking


Deep Comprehensive Correlation Mining

Deep Comprehensive Correlation Mining for Image Clustering

Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification

Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning


Unsupervised Multilingual Word Embeddings (EMNLP 2018)

Should All Cross-Lingual Embeddings Speak English?

Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs

A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation

Empirical Methods in Natural Language Processing

A Simple Approach to Learning Unsupervised Multilingual Embeddings


Multilingual abstractive summarization dataset extracted from WikiHow.

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

To Adapt or to Fine-tune: A Case Study on Abstractive Summarization

Towards Zero-Shot Functional Compositionality of Language Models

SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual
  Summarization


Generalization Ability of MOS Prediction Networks

Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

MTI-Net: A Multi-Target Speech Intelligibility Prediction Model

Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback

Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualities

Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization

Investigating Content-Aware Neural Text-to-Speech MOS Prediction Using Prosodic and Linguistic Features


Norm-Aware Embedding for Efficient Person Search (CVPR'20)

Query-Guided Networks for Few-shot Fine-grained Classification and Person Search

Gallery Filter Network for Person Search


Autoencoders in PyTorch

Tutorial on Variational Autoencoders

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Machine learning in solar physics


Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention"

Fashion Landmark Detection in the Wild

Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

Comprehensive Information Integration Modeling Framework for Video Titling

Poet: Product-oriented Video Captioner for E-commerce

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

Fashion Landmark Detection and Category Classification for Robotics


Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models

Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services


RoBERTa: A Robustly Optimized BERT Pretraining Approach

Text Classification Algorithms: A Survey

Deep Learning Based Text Classification: A Comprehensive Review

A Survey on Text Classification: From Shallow to Deep Learning


Code for https://arxiv.org/abs/1611.10080

Deep Residual Learning for Image Recognition

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Benchmarking the Robustness of Semantic Segmentation Models

Multiple Pathways: The Influence Mechanism of Greenspace Exposure on Mental Health—A Case Study of Hangzhou, China

Diagnostics in Semantic Segmentation


Hyperbolic Graph Convolutional Networks in PyTorch.

Graph Attention Networks

Poincaré Embeddings for Learning Hierarchical Representations

Hyperbolic Graph Convolutional Neural Networks

Hyperbolic Neural Networks

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

Fully Hyperbolic Neural Networks

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning

Pseudo-Riemannian Graph Convolutional Networks

Neural Networks in a Product of Hyperbolic Spaces

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


pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks

Learning the Regulatory Code of Gene Expression

DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery


Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Unsupervised Learning via Meta-Learning

Centroid-based deep metric learning for speaker recognition

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction

Learning from Few Samples: A Survey

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

Design of a graphical user interface for few-shot machine learning classification of electron microscopy data

Are Few-shot Learning Benchmarks Too Simple ?

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction

Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance


TruthfulQA: Measuring How Models Imitate Human Falsehoods

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Holistic Evaluation of Language Models

OLMo: Accelerating the Science of Language Models

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Proving Test Set Contamination in Black Box Language Models

Aligning Large Language Models through Synthetic Feedback

Personas as a Way to Model Truthfulness in Language Models

Honesty Is the Best Policy: Defining and Mitigating AI Deception

InstructGraph: Boosting Large Language Models via Graph-centric
  Instruction Tuning and Preference Alignment

Unpacking DPO and PPO: Disentangling Best Practices for Learning from
  Preference Feedback


Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

Dense Passage Retrieval for Open-Domain Question Answering

Unsupervised Dense Information Retrieval with Contrastive Learning

End-to-End Training of Neural Retrievers for Open-Domain Question Answering


LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation

A Survey on Text Classification: From Shallow to Deep Learning

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

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

A Survey on Extreme Multi-label Learning


Nightly release of ControlNet 1.1

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object
  with Gaussian Splatting

DEADiff: An Efficient Stylization Diffusion Model with Disentangled
  Representations

InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware
  Inpainting

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators


Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Contrastive Learning for Sequential Recommendation

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Improving Micro-video Recommendation by Controlling Position Bias

Self-Supervised Multi-Modal Sequential Recommendation

A multi-intent based multi-policy relay contrastive learning for sequential recommendation

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing


Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

Addressing catastrophic forgetting for medical domain expansion

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation


Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature

Understanding Black-box Predictions via Influence Functions

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Studying Large Language Model Generalization with Influence Functions

Training Data Attribution via Approximate Unrolled Differentiation


Repository for SLURP paper

SLURP: A Spoken Language Understanding Resource Package

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

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

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

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

Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models

Masked Audio Text Encoders are Effective Multi-Modal Rescorers

BlendX: Complex Multi-Intent Detection with Blended Patterns


Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

A Closer Look at Few-shot Classification

Meta-Learning with Differentiable Convex Optimization

Meta-Learning with Latent Embedding Optimization


A collection of implementations of adversarial domain adaptation algorithms

Unsupervised Domain Adaptation by Backpropagation

Adversarial Discriminative Domain Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation


Low-complexity neural image & video codec.

COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec

C3: High-performance and low-complexity neural compression from a single image or video

Low-complexity Overfitted Neural Image Codec

Cool-chic video: Learned video coding with 800 parameters


GEMBA — GPT Estimation Metric Based Assessment

Large Language Models Are State-of-the-Art Evaluators of Translation Quality

GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References


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

Stable Differentiable Causal Discovery

CoLiDE: Concomitant Linear DAG Estimation

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery


ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Robust Test-Time Adaptation in Dynamic Scenarios

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

Test-time Batch Statistics Calibration for Covariate Shift

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

DELTA: degradation-free fully test-time adaptation


benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

HINT: Hierarchical interaction network for clinical-trial-outcome predictions

Uncertainty Quantification on Clinical Trial Outcome Prediction

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data

TDC-2: Multimodal Foundation for Therapeutic Science

Language Interaction Network for Clinical Trial Approval Estimation


Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

Simplified Graph Learning for Inductive Short Text Classification

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


The Sound Demixing Challenge 2023 x2013 Music Demixing Track

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for
  Large-Scale Speech Generation

The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track

Benchmarks and leaderboards for sound demixing tasks


Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Community Impact on a Cryptocurrency: Twitter Comparison Example Between Dogecoin and Litecoin

Handwriting Evaluation Using Deep Learning with SensoGrip


Code for DeCoAR (ICASSP 2020) and BERTphone (Odyssey 2020)

Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition

International Conference on Acoustics, Speech, and Signal Processing

DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization

Probing Acoustic Representations for Phonetic Properties

BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition

The Speaker and Language Recognition Workshop (Odyssey 2020)

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech


StarGAN - Official PyTorch Implementation (CVPR 2018)

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

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

AttGAN: Facial Attribute Editing by Only Changing What You Want

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

Detecting GAN generated Fake Images using Co-occurrence Matrices

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

StyleGAN2 Distillation for Feed-forward Image Manipulation

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

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

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


Vectorized N-body code (Python)

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Orbits of the TOI-1338 and TIC-172900988 systems

Orbit determination of the moons of the Pluto–Charon system

Celestial mechanics & dynamical astronomy


A research-oriented elastic body simulator

Projective Dynamics: Fusing Constraint Projections for Fast Simulation

Seminal Graphics Papers: Pushing the Boundaries, Volume 2

MIG - XPBD: position-based simulation of compliant constrained dynamics

Example-based elastic materials

International Conference on Computer Graphics and Interactive Techniques

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

Stable Neo-Hookean Flesh Simulation

Position-based simulation of continuous materials

A Survey on Position Based Dynamics, 2017

Long range attachments - a method to simulate inextensible clothing in computer games

Small steps in physics simulation

Real-time example-based elastic deformation


LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model

Query-Relevant Images Jailbreak Large Multi-Modal Models

A Comprehensive Overhaul of Multimodal Assistant with Small Language
  Models


Interpreting Bidirectional Encoder Representations from Transformers (BERT)

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

What Does BERT Learn about the Structure of Language?

Meeting of the Association for Computational Linguistics

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Does BERT Rediscover a Classical NLP Pipeline?

International Conference on Computational Linguistics


This repository implements SummaryMixing, a simpler, faster and much cheaper replacement to self-attention for automatic speech recognition (see: https://arxiv.org/abs/2307.07421). The code is ready to be used with the SpeechBrain toolkit).

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

HyperMixer: An MLP-based Low Cost Alternative to Transformers

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition

Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition

Linear-Complexity Self-Supervised Learning for Speech Processing


Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

MACE: Mass Concept Erasure in Diffusion Models

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

Espresso: Robust Concept Filtering in Text-to-Image Models


This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features

Identifying Source Speakers for Voice Conversion Based Spoofing Attacks on Speaker Verification Systems

Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion


Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Improved Neural Relation Detection for Knowledge Base Question Answering

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

An empirical analysis of existing systems and datasets toward general simple question answering


GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers


Benchmarking Large Language Models for Automated Verilog RTL Code Generation

VeriGen: A Large Language Model for Verilog Code Generation

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust


An R package for inferring the subclonal architecture of tumors

Mutational landscape and significance across 12 major cancer types

Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia

Cancer Evolution: Mathematical Models and Computational Inference

Single-cell analysis based dissection of clonality in myelofibrosis

The clonal evolution of metastatic colorectal cancer

Ultraviolet radiation shapes dendritic cell leukaemia transformation in the skin

Ploidy-Seq: inferring mutational chronology by sequencing polyploid tumor subpopulations

Proteogenomics decodes the evolution of human ipsilateral breast cancer


Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

Listen, Think, and Understand

Joint Audio and Speech Understanding

Large Language Models for Time Series: A Survey

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities


Codes for "TENER: Adapting Transformer Encoder for Named Entity Recognition"

Chinese Medical Named Entity Recognition Based on Fusion of Global Features and Multi-Local Features


Dataset of diseased plant leaf images and corresponding labels

Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Cardamom Plant Disease Detection Approach Using EfficientNetV2

Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data

Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set

DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease

Automatic Fuzzy Logic-Based Maize Common Rust Disease Severity Predictions with Thresholding and Deep Learning

Resources for image-based high-throughput phenotyping in crops and data sharing challenges

Crop Disease Classification on Inadequate Low-Resolution Target Images


Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Human-Adversarial Visual Question Answering

HateProof: Are Hateful Meme Detection Systems really Robust?


Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Black-box Targeted Adversarial Attack on Segment Anything (SAM)

Segment Anything Meets Universal Adversarial Perturbation


Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

International Conference on Trust, Privacy and Security in Intelligent Systems and Applications

Understanding Object Detection Through An Adversarial Lens

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems


Age Progression/Regression by Conditional Adversarial Autoencoder

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

International Journal of Computer Vision

A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging

Enhancing Facial Data Diversity with Style-based Face Aging

Personalized and Occupational-aware Age Progression by Generative Adversarial Networks

PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery

Dual-reference Age Synthesis


Optimization with orthogonal constraints and on general manifolds

Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group

Trivializations for Gradient-Based Optimization on Manifolds

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

projUNN: efficient method for training deep networks with unitary matrices

MomentumRNN: Integrating Momentum into Recurrent Neural Networks

Path Development Network with Finite-dimensional Lie Group Representation

How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies

Coordinate descent on the orthogonal group for recurrent neural network training

What if Neural Networks had SVDs?

Geometric Optimisation on Manifolds with Applications to Deep Learning


Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

Adversarial Attack and Defense on Graph Data: A Survey

Adversarial Attacks on Graph Classification via Bayesian Optimisation

Goal-directed graph construction using reinforcement learning

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning


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

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

Quantifying the Gain in Weak-to-Strong Generalization

Traditional Machine and Deep Learning for Predicting Toxicity Endpoints

Target-Free Compound Activity Prediction via Few-Shot Learning


Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Graph Information Bottleneck

Combating Bilateral Edge Noise for Robust Link Prediction

Dynamic Graph Information Bottleneck


Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.


Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Accurate and Robust Feature Importance Estimation under Distribution Shifts

Boundary-Aware Uncertainty for Feature Attribution Explainers

Analyzing Explainer Robustness via Lipschitzness of Prediction Functions


Data preparation and loader for AMASS

AMASS: Archive of Motion Capture as Surface Shapes

History Repeats Itself: Human Motion Prediction via Motion Attention

Multi-level Motion Attention for Human Motion Prediction

Deep motifs and motion signatures

SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS


Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

A Divide-and-Conquer Approach to the Summarization of Long Documents

Question Answering as an Automatic Evaluation Metric for News Article Summarization

Inducing Document Structure for Aspect-based Summarization

Multi-Source Pointer Network for Product Title Summarization

How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature

Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation

Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation

International Conference on Natural Language Generation


Flickr-Faces-HQ Dataset (FFHQ)

A Style-Based Generator Architecture for Generative Adversarial Networks

Alias-Free Generative Adversarial Networks

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

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

Vector-quantized Image Modeling with Improved VQGAN

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

What makes fake images detectable? Understanding properties that generalize

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

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

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

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


The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

An Evaluation of Change Point Detection Algorithms

Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation

Memory-free Online Change-point Detection: A Novel Neural Network Approach


Geometry Uncertainty Projection Network for Monocular 3D Object Detection

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection


Pretraining Efficiently on S2ORC!

What's In My Big Data?

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

A Survey of Reasoning with Foundation Models

BlackMamba: Mixture of Experts for State-Space Models

A Survey of Multimodal Large Language Model from A Data-centric
  Perspective

Zamba: A Compact 7B SSM Hybrid Model

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore


code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"

IFCNN: A general image fusion framework based on convolutional neural network

A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network

Perceptual Multi-Exposure Fusion

Efficient joint noise removal and multi exposure fusion

Multimodal medical image fusion in NSST domain with structural and spectral features enhancement


PyTorch toolbox for matrix product state models

Supervised Learning with Quantum-Inspired Tensor Networks

Exponential Machines

TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork for Machine Learning

Quantum-inspired Machine Learning on high-energy physics data

Tensor Networks for Medical Image Classification

The landscape of software for tensor computations

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States

Segmenting two-dimensional structures with strided tensor networks

Deep convolutional tensor network


This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Densely Connected Convolutional Networks

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

On Convergence of Training Loss Without Reaching Stationary Points.


Instruction Tuning for Large Language Models: A Survey

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

HuatuoGPT, towards Taming Language Model to Be a Doctor

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare

Large Language Models for Medicine: A Survey


Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems


A bioinformatics tool for working with modified bases

R2Dtool: Integration and visualization of isoform-resolved RNA features

Profiling age and body fluid DNA methylation markers using nanopore adaptive sampling

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes

bioRxiv : the preprint server for biology

Generating high-quality plant and fish reference genomes from field-collected specimens by optimizing preservation


Transformer for abstractive summarization on cnn/daily-mail and gigawords

PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing

On the Helpfulness of Document Context to Sentence Simplification

From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation


PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Pre-training Polish Transformer-based Language Models at Scale

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

Learning for amalgamation: A multi-source transfer learning framework for sentiment classification

Investigating Monolingual and Multilingual BERT Models for Vietnamese Aspect Category Detection

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

An Empirical Study for Vietnamese Constituency Parsing with Pre-training

A Combination of BERT and Transformer for Vietnamese Spelling Correction

Utilizing Bert for Question Retrieval on Vietnameses E-commerce Sites

Pacific Asia Conference on Language, Information, and Computation

ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites


Paper list for single object tracking (State-of-the-art SOT trackers)

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach

Learning Spatial-Frequency Transformer for Visual Object Tracking

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline


Generative Adversarial Text-to-Image Synthesis

Generative Adversarial Text to Image Synthesis

Generating Multiple Objects at Spatially Distinct Locations

ChatPainter: Improving Text to Image Generation using Dialogue

Adversarial Learning of Semantic Relevance in Text to Image Synthesis

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


Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery


Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

International Conference on Robotics and Automation

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Autonomous Exploration Development Environment and the Planning Algorithms

PALoc: Advancing SLAM Benchmarking With Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

Piecewise Linear De-skewing for LiDAR Inertial Odometry


An implementation of Grad-CAM with keras

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

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators


Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN

ARMA Nets: Expanding Receptive Field for Dense Prediction

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures


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

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

Expressive Text-to-Speech using Style Tag

Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis

OverFlow: Putting flows on top of neural transducers for better TTS


A Re-implementation of Fixed-update Initialization

Deep Residual Learning for Image Recognition

mixup: Beyond Empirical Risk Minimization

Improving robustness against common corruptions by covariate shift adaptation

Fixup Initialization: Residual Learning Without Normalization

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

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Fast Axiomatic Attribution for Neural Networks

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators


Unofficial JAX implementations of deep learning research papers

Squeeze-and-Excitation Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Xception: Deep Learning with Depthwise Separable Convolutions

Masked Autoencoders Are Scalable Vision Learners

A ConvNet for the 2020s

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Deep Networks with Stochastic Depth

MLP-Mixer: An all-MLP Architecture for Vision

Going deeper with Image Transformers


A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots (ROBIO2023)

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases


A Corpus for Multilingual Document Classification in Eight Languages.

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Robust Cross-lingual Embeddings from Parallel Sentences

RigoBERTa: A State-of-the-Art Language Model For Spanish

EMS: Efficient and Effective Massively Multilingual Sentence Embedding 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


A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

DKN: Deep Knowledge-Aware Network for News Recommendation

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

User Response Prediction in Online Advertising

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy

PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning


A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

MTTFsite: cross-cell type TF binding site prediction by using multi-task learning

Zenodo (CERN European Organization for Nuclear Research)

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


Breaking the Dilemma of Medical Image-to-image Translation

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

An attentive-based generative model for medical image synthesis

Deformation equivariant cross-modality image synthesis with paired non-aligned training data


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

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

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

Estimating High Order Gradients of the Data Distribution by Denoising

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

Imitation with Neural Density Models

Kernel Stein Generative Modeling


PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection

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

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room

Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding

Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations


Python program to evaluate off-resonance Raman activity using VASP code as the backend.

Janus Monolayer Transition-Metal Dichalcogenides

Piezoelectric domain walls in van der Waals antiferroelectric CuInP2Se6

Stabilization of O–O Bonds by d0 Cations in Li4+xNi1–xWO6 (0 ≤ x ≤ 0.25) Rock Salt Oxides as the Origin of Large Voltage Hysteresis

Journal of the American Chemical Society

Electronic and vibrational properties of PbI2: From bulk to monolayer

Raman spectrum of CrI 3 : An ab initio study

Silver route to cuprate analogs

Synthesis of Xenon and Iron-Nickel Intermetallic Compounds at Earth's Core Thermodynamic Conditions.

Synthesis of a mixed-valent tin nitride and considerations of its possible crystal structures

Prediction of a new ground state of superhard compound B6O at ambient conditions

Coherent helicity-dependent spin-phonon oscillations in the ferromagnetic van der Waals crystal CrI3


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

Personalized Federated Learning with First Order Model Optimization

Architectural Patterns for the Design of Federated Learning Systems

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces

FLRA: A Reference Architecture for Federated Learning Systems

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment


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


Improving Transferability of Adversarial Examples with Input Diversity

Mitigating Adversarial Effects Through Randomization

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets

Adversarial Purification through Representation Disentanglement


Reimplementation of GANs

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

On Convergence and Stability of GANs

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

IEEE International Conference on Computer Vision

BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Dist-GAN: An Improved GAN using Distance Constraints


Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph Contrastive Learning Automated

Graph-based Molecular Representation Learning

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Mix-Key: graph mixup with key structures for molecular property prediction


An MDN Layer for Keras using TensorFlow's distributions module

Generating Sequences With Recurrent Neural Networks

A Neural Representation of Sketch Drawings

Mixture models for photometric redshifts

Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks

Toward Constraining Mars' Thermal Evolution Using Machine Learning

Marginally calibrated response distributions for end-to-end learning in autonomous driving


PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

Learn To Pay Attention

Survey of Explainable AI Techniques in Healthcare

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

Passive attention in artificial neural networks predicts human visual selectivity

Information Bottleneck Approach to Spatial Attention Learning


Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Graph Learning based Recommender Systems: A Review

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Personalised Meta-path Generation for Heterogeneous GNNs


[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

Self-Supervised Multi-Modal Sequential Recommendation


PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

Vision-Language Pre-Training for Boosting Scene Text Detectors

Revisiting Scene Text Recognition: A Data Perspective

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection


a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks


This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Hierarchically Regularized Deep Forecasting

Deep Coupling Network For Multivariate Time Series Forecasting

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting


Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Learning explanations that are hard to vary

Neuro-algorithmic Policies enable Fast Combinatorial Generalization


Lung fields segmentation on CXR images using convolutional neural networks.

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set

COVID-19 image classification using deep learning: Advances, challenges and opportunities

Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning

International Journal of Imaging Systems and Technology


[NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid

Dynamic Point Fields

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


Neural Network for generating structured queries from natural language.

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization

Recent Advances in SQL Query Generation: A Survey


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

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

Simplifying Architecture Search for Graph Neural Network

Neural Architecture Search in Graph Neural Networks

Probabilistic Dual Network Architecture Search on Graphs

Adversarially Robust Neural Architecture Search for Graph Neural Networks

DFG-NAS: Deep and Flexible Graph Neural Architecture Search


The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

On instabilities of deep learning in image reconstruction and the potential costs of AI

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI

Stabilizing Deep Tomographic Reconstruction

Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks

CS-GAN for High-Quality Diffusion Tensor Imaging


IL2M: Class Incremental Learning With Dual Memory

International Conference on Computer Vision

A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks

ScaIL: Classifier Weights Scaling for Class Incremental Learning

Initial Classifier Weights Replay for Memoryless Class Incremental Learning

Active Class Incremental Learning for Imbalanced Datasets


Caravan - A global community dataset for large-sample hydrology


PyTorch Implementation of ProDiff (ACM-MM'22) with a Extremely-Fast diffusion speech synthesis pipeline

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis