Module to call Mycobacterium tuberculosis lineages

Transmission and Drug Resistance Genotype of Multidrug-Resistant or Rifampicin-Resistant Mycobacterium tuberculosis in Chongqing, China

Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly

Endogenous relapse and exogenous reinfection in recurrent pulmonary tuberculosis: A retrospective study revealed by whole genome sequencing

Afro-TB dataset as a large scale genomic data of Mycobacterium tuberuclosis in Africa

Insight into the drug-resistant characteristics and genetic diversity of multidrug-resistant Mycobacterium tuberculosis in China


ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

Inferring Latent Domains for Unsupervised Deep Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device


We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

Computer methods in applied mechanics and engineering

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

National Conference on Artificial Intelligence

Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks

Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions


[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects

VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments

A Survey of Deep Causal Models and Their Industrial Applications


Official implementation of SwinGANMR

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

SwinIR: Image Restoration Using Swin Transformer

Swin Transformer for Fast MRI

Fast MRI Reconstruction: How Powerful Transformers Are?


Gaussian Processes GaPP code auxiliary repository

Measuring cosmological parameters with a luminosity-time correlation of gamma-ray bursts

Monthly Notices of the Royal Astronomical Society

Revisiting a non-parametric reconstruction of the deceleration parameter from combined background and the growth rate data

Model-independent constraints on cosmic curvature: implication from the future space gravitational-wave antenna DECIGO

Nonparametric reconstruction of interaction in the cosmic dark sector

Constraining the curvature density parameter in cosmology

Assessment of the cosmic distance duality relation using Gaussian process

Cosmic chronometers to calibrate the ladders and measure the curvature of the Universe. A model-independent study

Multiple Measurements of Gravitational Waves Acting as Standard Probes: Model-independent Constraints on the Cosmic Curvature with DECIGO

Low-redshift estimates of the absolute scale of baryon acoustic oscillations

Gravitational lens time-delay as a probe of a possible time variation of the fine-structure constant


Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Tensor Normal Training for Deep Learning Models

Modular Block-diagonal Curvature Approximations for Feedforward Architectures

A Mini-Block Fisher Method for Deep Neural Networks

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models

Non-Convex Optimization with Spectral Radius Regularization


Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.

What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention

Anticipative Video Transformer

Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video

Deep Learning for Vision-based Prediction: A Survey

Towards Streaming Egocentric Action Anticipation

Streaming egocentric action anticipation: An evaluation scheme and approach


Everything is Linkable

Root exudates and rhizosphere soil bacterial relationships of Nitraria tangutorum are linked to k-strategists bacterial community under salt stress

A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau

Lessons from the diet: Captivity and sex shape the gut microbiota in an oviparous lizard (Calotes versicolor)

Effects of grazing intensity on diversity and composition of rhizosphere and non-rhizosphere microbial communities in a desert grassland

The spatial patterns of diversity and their relationships with environments in rhizosphere microorganisms and host plants differ along elevational gradients

Age-related changes in plasma extracellular vesicles influence neuroinflammation in the brain and neurological outcome after traumatic spinal cord injury


PSF Homogenization kERnels

Convolution kernels for multi-wavelength imaging

Simulating JWST deep extragalactic imaging surveys and physical parameter recovery

Tilted outer and inner structures in edge-on galaxies?

Unveiling the Nature of Polar-ring Galaxies from Deep Imaging

CHANG-ES XXVI: Insights into cosmic-ray transport from radio halos in
  edge-on galaxies


EfficientNets snapshot

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Pruning Compact ConvNets for Efficient Inference


Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data'

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction

Conditional Graph Information Bottleneck for Molecular Relational
  Learning

Shift-Robust Molecular Relational Learning with Causal Substructure


Code for paper "Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks"

Heterogeneous Information Network Embedding for Recommendation

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Learning with Heterogeneous Side Information Fusion for Recommender Systems.

Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks


Masked ConditionaL Neural Networks

Masked Conditional Neural Networks for Audio Classification

Masked Conditional Neural Networks for Environmental Sound Classification

Automatic Classification of Music Genre using Masked Conditional Neural Networks

Masked Conditional Neural Networks for Automatic Sound Events Recognition

International Conference on Data Science and Advanced Analytics

Environmental Sound Recognition Using Masked Conditional Neural Networks

Recognition of Acoustic Events Using Masked Conditional Neural Networks

International Conference on Machine Learning and Applications

Music Genre Classification Using Masked Conditional Neural Networks

NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II


PyTorch Implementation of Unrolled Generative Adversarial Networks

Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks


Mathematica Markov chain Monte Carlo

The Planetary Mass–Radius Relation and Its Dependence on Orbital Period as Measured by Transit Timing Variations and Radial Velocities

A quintessence dynamical dark energy model from ratio gravity


Exploiting sequence-based features for predicting enhancer–promoter interactions

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal


BERT and ELECTRA models trained on Europeana Newspapers

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

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

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ConvBERT: Improving BERT with Span-based Dynamic Convolution

Named Entity Recognition and Classification in Historical Documents: A Survey


CoVoST: A Large-Scale Multilingual Speech-To-Text Translation Corpus (CC0 Licensed)

Common Voice: A Massively-Multilingual Speech Corpus

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models

CoVoST 2 and Massively Multilingual Speech-to-Text Translation

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Large-Scale Self- and Semi-Supervised Learning for Speech Translation

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation

Development and Evaluation of Speech Recognition for the Welsh Language

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

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

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters


CoroNet is a Covid-19 detection and diagnosis tool. It scans chest x-rays and clasifies it into normal, pneumonia or covid classes

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Computer methods and programs in biomedicine

A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images

Biomedical signal processing and control

A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images

Deep COVID-19 Recognition Using Chest X-ray Images: A Comparative Analysis

2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)


Code for paper Causal Confusion in Imitation Learning

Causal Confusion in Imitation Learning

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

A Survey on Causal Reinforcement Learning

Contextual Reliability: When Different Features Matter in Different
  Contexts


This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

Deep Residual Learning for Image Recognition

Adversarial Examples Are Not Bugs, They Are Features

Interpolated Adversarial Training: Achieving Robust Neural Networks
  without Sacrificing Too Much Accuracy


The code for "Improved Deep Leakage from Gradients" (iDLG).

iDLG: Improved Deep Leakage from Gradients

Dataset Condensation with Gradient Matching

User-Level Label Leakage from Gradients in Federated Learning

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

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


[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Label Efficient Visual Abstractions for Autonomous Driving

DeepIPC: Deeply Integrated Perception and Control for an Autonomous
  Vehicle in Real Environments


Learning Green's functions of partial differential equations with deep learning.

Data-driven discovery of Green’s functions with human-understandable deep learning

Data-driven discovery of physical laws with human-understandable deep learning


Source code for NAACL 2022 paper Weakly Supervised Text Classification using Supervision Signals from a Language Mode

Weakly Supervised Text Classification using Supervision Signals from a Language Model

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

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


reconstruction algorithms for snapshot compressive imaging

Rank Minimization for Snapshot Compressive Imaging

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

Memory-Efficient Network for Large-scale Video Compressive Sensing

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing


Salient Object Detection Driven by Fixation Prediction (CVPR2018)

Inferring Salient Objects from Human Fixations

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark


MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

MADE: Masked Autoencoder for Distribution Estimation

The Causal-Neural Connection: Expressiveness, Learnability, and Inference

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Neural Causal Models for Counterfactual Identification and Estimation


StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics.


[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for
  Inverse Problems

Optimizing Intermediate Representations of Generative Models for Phase
  Retrieval


Graph Neural Networks for Social Recommendation, WWW'19

Graph Learning based Recommender Systems: A Review

Deep Adversarial Social Recommendation

Attentive Social Recommendation: Towards User And Item Diversities


Implementations of F-ing modules and 1ML, as well as bibliography of (mainly ML-style) modules

F-ing modules

Types In Languages Design And Implementation

Static interpretation of higher-order modules in Futhark: functional GPU programming in the large

Proceedings of the ACM on programming languages

1ML – core and modules united (F-ing first-class modules)

1ML – Core and modules united

Backpack

Symposium on Principles of Programming Languages

A syntactic type system for recursive modules

Contractive Signatures with Recursive Types, Type Parameters, and Abstract Types

Characterising renaming within OCaml’s module system: theory and implementation

Programming Language Design and Implementation

Fully abstract module compilation

Path resolution for nested recursive modules


A Deep Learning Based Context-Aware Recommendation Library

Multi-Armed Bandit Learning in IoT Networks: Learning Helps Even in Non-stationary Settings

DeepCARSKit: A deep learning based context-aware recommendation library

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations

User Modeling, Adaptation, and Personalization

DeepCARSKit: A Demo and User Guide


Language identification and normalisation in code switching data tailored with a three-step decoding process

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Battling Hateful Content in Indic Languages HASOC '21

Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data

PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language
  Model Embeddings To Estimate Code-Mix Quality


Code for Continual Learning of Context-dependent Processing in Neural Networks

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

Continual Learning Based on OOD Detection and Task Masking


Pytorch world language model (text generation) for PTB dataset example

Recurrent Neural Network Regularization

Using the Output Embedding to Improve Language Models

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Genie: a generator of natural language semantic parsers for virtual assistant commands

Efficient Estimation of Influence of a Training Instance


The Fortran 77 codes for the open-loop  and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

Knowledge-Based Regularization in Generative Modeling

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

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

High-Efficiency Generative Adversarial Network Model for Chemical Process Fault Diagnosis


A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words

International Conference on Computational Linguistics

Seed-Guided Deep Document Clustering

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


Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value
  Analysis

Handcrafted Backdoors in Deep Neural Networks

Trigger Hunting with a Topological Prior for Trojan Detection

FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases

Learning Topological Representations for Deep Image Understanding


ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

MR Image Reconstruction Using Deep Density Priors

Stabilizing Deep Tomographic Reconstruction

CS-GAN for High-Quality Diffusion Tensor Imaging


A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

A critical look at the evaluation of GNNs under heterophily: are we
  really making progress?

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Simple and Asymmetric Graph Contrastive Learning without Augmentations

Clarify Confused Nodes via Separated Learning


Statistical Workload Injector for MapReduce - Project at UC Berkeley AMP Lab

Interactive Analytical Processing in Big Data Systems: A Cross-Industry Study of MapReduce Workloads

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey

A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing

IEEE transactions on sustainable computing

Revisiting Size-Based Scheduling with Estimated Job Sizes

PSBS: Practical Size-Based Scheduling

Automating Distributed Tiered Storage Management in Cluster Computing

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud

Network calculus for parallel processing

Practical size-based scheduling for MapReduce workloads


Implementation of the ESIM model for natural language inference with PyTorch

Enhanced LSTM for Natural Language Inference

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

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

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

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference


Trajectory Extraction of road users via Traffic Camera

Simple Online and Realtime Tracking with a Deep Association Metric

Large-Scale extraction of accurate vehicle trajectories for driving behavior learning

Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors


[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Multi-Objective Bayesian Optimization over High-Dimensional Search
  Spaces

Interactive exploration of design trade-offs

Pareto Set Learning for Expensive Multi-Objective Optimization

Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations

A Parallel Technique for Multi-objective Bayesian Global Optimization:
  Using a Batch Selection of Probability of Improvement


Placeholder repository

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

Unsupervised Data Augmentation for Consistency Training

Multilingual and cross-lingual document classification: A meta-learning approach


White blood cell (WBC) image datasets

Automated Diagnosis of Leukemia: A Comprehensive Review

A Semiautomatic Multi-Label Color Image Segmentation Coupling Dirichlet Problem and Colour Distances

Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT

Computational and mathematical methods in medicine

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

Rethinking the Dilated Encoder in TE-YOLOF: An Approach Based on Attention Mechanism to Improve Performance for Blood Cell Detection

International journal of molecular sciences


BERT for question answering starting with HotpotQA

Attention Is All You Need

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

Semi-supervised Sequence Learning


LS-GKM: a new gkm-SVM for large-scale datasets

Chromatin accessibility prediction via a hybrid deep convolutional neural network

Allele-specific transcription factor binding as a benchmark for assessing variant impact predictors

Gkmexplain: Fast and Accurate Interpretation of Nonlinear Gapped k-mer SVMs Using Integrated Gradients


Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.

Learning to Simulate Complex Physics with Graph Networks

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Learning Physical Dynamics with Subequivariant Graph Neural Networks


R package for sliding window analysis

Continent-wide genomic signatures of adaptation to urbanisation in a songbird across Europe

Rapid adaptive radiation of Darwin’s finches depends on ancestral genetic modules

Genomics of altitude-associated wing shape in two tropical butterflies


The official implementation of ACL 2023 paper "Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification."

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

GoEmotions: A Dataset of Fine-Grained Emotions

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings


FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction

GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions

A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors


A resource collection of RGBT Salient Object Detection

RGBT Salient Object Detection: A Large-scale Dataset and Benchmark

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

Multi-interactive Siamese Decoder for RGBT Salient Object Detection


Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

Systematic Evaluation of Privacy Risks of Machine Learning Models

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for
  Machine Learning

Can Membership Inferencing be Refuted?


Resources for PVLDB 2023 submission

Semantics-aware Dataset Discovery from Data Lakes with Contextualized
  Column-based Representation Learning


Nonparametric Causal Effects Based on Incremental Propensity Score Interventions

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society. Series B, Statistical methodology

Semiparametric counterfactual density estimation

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect
  Estimation in Online Marketplace

Covariate balancing for causal inference on categorical and continuous treatments

Incremental causal effects: an introduction and review


Improving Adversarial Robustness via Promoting Ensemble Diversity

Improving Adversarial Robustness of Ensembles with Diversity Training

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks


The source code for "An Actor Critic Algorithm for Structured Prediction"

An Actor-Critic Algorithm for Sequence Prediction

Convergence analysis of distributed stochastic gradient descent with shuffling

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning


Implementation of the MEPOL algorithm - A policy gradient method for task-agnostic exploration

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

A Policy Gradient Method for Task-Agnostic Exploration

Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards


Learning Sparse Neural Networks through L0 regularization

Learning Sparse Neural Networks through L_0 Regularization

FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks

Position-based Scaled Gradient for Model Quantization and Pruning

Dep-L_0: Improving L_0-based Network Sparsification via Dependency
  Modeling

Model Compression via Position-Based Scaled Gradient


Differentiable Sorting Networks

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision

Monotonic Differentiable Sorting Networks

Learning with Differentiable Algorithms


Code and data for the experiments in "On Fairness and Calibration"

Equality of Opportunity in Supervised Learning

On Fairness and Calibration

Fairness for Robust Log Loss Classification

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

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

Multiple Attribute Fairness: Application to Fraud Detection


Learning to do multiframe wavefront sensing unsupervised: Applications to blind deconvolution

Learning to do multiframe blind deconvolution unsupervisedly.

Machine learning in solar physics


U-Net Model for Image Segmentation Problems using PyTorch 0.4

Deep Residual Learning for Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Multi-Scale Context Aggregation by Dilated Convolutions

Group Normalization


CNN based single speaker localization

Broadband doa estimation using convolutional neural networks trained with noise signals

Workshop on Applications of Signal Processing to Audio and Acoustics

Dynamically localizing multiple speakers based on the time-frequency domain

EURASIP Journal on Audio, Speech, and Music Processing

Signal-aware direction-of-arrival estimation using attention mechanisms

Deep Learning Based Two-dimensional Speaker Localization With Large
  Ad-hoc Microphone Arrays


Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A question-entailment approach to question answering

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

Neural Natural Language Processing for unstructured data in electronic health records: A review

Question-aware Transformer Models for Consumer Health Question Summarization

Towards Summarizing Healthcare Questions in Low-Resource Setting

Medical Question Understanding and Answering with Knowledge Grounding
  and Semantic Self-Supervision


A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Sequential Recommendation via Stochastic Self-Attention

Consistency-Aware Recommendation for User-Generated Item List Continuation

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM transactions on intelligent systems and technology

Learning Post-Hoc Causal Explanations for Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation


Implementation and demonstration of the paper: Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

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

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

DeepFake-o-meter: An Open Platform for DeepFake Detection


Self-Attentive Hawkes Process

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

Continuous-time convolutions model of event sequences


Freezing generator for pseudo image translation

StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Fine-Tuning StyleGAN2 For Cartoon Face Generation

Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation

Learning to Evaluate the Artness of AI-generated Images


Python package for modular Bayesian optimization

AutoML: A survey of the state-of-the-art

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Unbounded Bayesian Optimization via Regularization

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE transactions on automation science and engineering


Neural Machine Translation by Jointly Learning to Align and Translate

Automatic Labeling for Entity Extraction in Cyber Security

Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph

A review of knowledge graph application scenarios in cyber security


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

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Large Dual Encoders Are Generalizable Retrievers

Decoupled Context Processing for Context Augmented Language Modeling

Exploring Dual Encoder Architectures for Question Answering

Zero-Shot Retrieval with Search Agents and Hybrid Environments

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation


This technique modifies image data so that any model trained on it will bear an identifiable mark.

Radioactive data: tracing through training

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection

On the Effectiveness of Dataset Watermarking

Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics


ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

LoFTR: Detector-Free Local Feature Matching with Transformers

DINOv2: Learning Robust Visual Features without Supervision


Generative adversarial networks for single-cell RNA-seq imputation

scIGANs: single-cell RNA-seq imputation using generative adversarial networks

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

scRNA‐seq data analysis method to improve analysis performance

Imputation Methods for scRNA Sequencing Data


RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Model Selection in Contextual Stochastic Bandit Problems

Unpacking Reward Shaping: Understanding the Benefits of Reward
  Engineering on Sample Complexity

Towards Tractable Optimism in Model-Based Reinforcement Learning


Ten thousand books, six million ratings

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Loss Aversion in Recommender Systems: Utilizing Negative User Preference
  to Improve Recommendation Quality

Mixture-of-tastes Models for Representing Users with Diverse Interests

A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data

Transfer of codebook latent factors for cross-domain recommendation with
  non-overlapping data

Predictive Optimization with Zero-Shot Domain Adaptation


PoreBlazer (v4.0) source code, examples, and geometric properties of porous materials calculated for the subset of 12,000 structures from the CSD MOF.

Machine learning enables interpretable discovery of innovative polymers for gas separation membranes

MoloVol: an easy-to-use program for analyzing cavities, volumes and surface areas of chemical structures

Material Informatics with PoreBlazer v4.0 and CSD MOF Database

On the Estimation of the Molecular Inaccessible Volume and the Molecular Accessible Surface of a Ligand in Protein Ligand Systems


PyTorch implementations of neural networks for timeseries classification

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

InceptionTime: Finding AlexNet for time series classification

Efficient Architecture Search for Diverse Tasks

Vector Quantized Time Series Generation with a Bidirectional Prior Model


A Small RISC-V Virtual Machine


Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]

Preservation of the Global Knowledge by Not-True Distillation in
  Federated Learning


[BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking

TrackNetV2: Efficient Shuttlecock Tracking Network

2020 International Conference on Pervasive Artificial Intelligence (ICPAI)

DeepBall: Deep Neural-Network Ball Detector

MonoTrack: Shuttle trajectory reconstruction from monocular badminton video

Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup

PROCEEDINGS OF THE 2ND INTERNATIONAL WORKSHOP ON MULTIMEDIA CONTENT ANALYSIS IN SPORTS, MMSPORTS 2019


Simple Implementation of Pix2Seq model for object detection in PyTorch

Attention Is All You Need

Training data-efficient image transformers & distillation through attention

Pix2seq: A Language Modeling Framework for Object Detection


Error correction for Oxford Nanopore data

Oxford Nanopore sequencing, hybrid error correction, and de novo assembly of a eukaryotic genome

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

A comparative evaluation of hybrid error correction methods for error-prone long reads

Characterization, correction and de novo assembly of an Oxford Nanopore genomic dataset from Agrobacterium tumefaciens

Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies

Techniques in life science and biomedicine for the non-expert

NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm


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

A Structural Probe for Finding Syntax in Word Representations

North American Chapter of the Association for Computational Linguistics

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

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

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


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

Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling

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

Latent SDEs on Homogeneous Spaces


Implementation of the mixup training method

mixup: Beyond Empirical Risk Minimization

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

DoubleMix: Simple Interpolation-Based Data Augmentation for Text
  Classification

Synthetic vs Real: Deep Learning on Controlled Noise


Graph Neural Network for Traffic Forecasting: A Survey

Bike Flow Prediction with Multi-Graph Convolutional Networks

Bike sharing usage prediction with deep learning: a survey


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

Optimizing Dense Retrieval Model Training with Hard Negatives

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

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

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

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


MASS: Masked Sequence to Sequence Pre-training for Language Generation

Levenshtein Transformer

SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

On Controllable Sparse Alternatives to Softmax

Frustratingly Easy Model Ensemble for Abstractive Summarization

Empirical Methods in Natural Language Processing

Fact-Enhanced Synthetic News Generation

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Sequence Generation: From Both Sides to the Middle


Creative Commons Attribution Share Alike 4.0 International

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

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

Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization


(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.

Zero-Round Active Learning


Open Syringe Pump instructions, code, and 3D files

DIALED: Data Integrity Attestation for Low-end Embedded Devices

Tiny-CFA: A Minimalistic Approach for Control-Flow Attestation Using
  Verified Proofs of Execution

ISC-FLAT: On the Conflict Between Control Flow Attestation and Real-Time Operations


Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018

Compact Bilinear Pooling

Grounding of Textual Phrases in Images by Reconstruction


This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine Translation"

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

A Comparison of Approaches to Document-level Machine Translation


Code for our ICML 2019 paper "Temporal Gaussian Mixture Layer for Videos"

Revisiting Anchor Mechanisms for Temporal Action Localization

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

Learning Latent Super-Events to Detect Multiple Activities in Videos


Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement

Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement.

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


Lexical Simplification with Pretrained Encoders

LSBert: Lexical Simplification Based on BERT

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

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

ALEXSIS: A Dataset for Lexical Simplification in Spanish

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

LSBert: A Simple Framework for Lexical Simplification

A Simple BERT-Based Approach for Lexical Simplification

Text Simplification for Legal Domain: {I}nsights and Challenges

Proceedings of the Natural Legal Language Processing Workshop 2022


Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise
  Comparisons using Large Language Models

Fusion-Eval: Integrating Evaluators with LLMs

A Closer Look into Automatic Evaluation Using Large Language Models


Repository of "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction" (EMNLP-IJCNLP 2019)

Frustratingly Easy System Combination for Grammatical Error Correction

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

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Findings of the Association for Computational Linguistics: EMNLP 2021

Beyond Hard Samples: Robust and Effective Grammatical Error Correction
  with Cycle Self-Augmenting


PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

Selective-Supervised Contrastive Learning with Noisy Labels

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning


(WWW 2021) Source code of PC-GNN

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Rethinking Graph Neural Networks for Anomaly Detection

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Continual Learning of Control Primitives: Skill Discovery via Reset-Games

Meta-Learning Parameterized Skills


Java realization for Ciphertext-Policy Attribute-Based Encryption

Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing

Security Architecture for Defining and Enforcing Security Profiles in DLT/SDN-Based IoT Systems

Preserving Smart Objects Privacy through Anonymous and Accountable Access Control for a M2M-Enabled Internet of Things

Efficient Privacy-Friendly and Flexible IoT Data Aggregation with
  User-Centric Access Control

Too Many Options: A Survey of ABE Libraries for Developers


Face Detection with the Faster R-CNN

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

Face Detection with the Faster R-CNN

Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

UG 2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.


A no dependency, header-only, fast supervoxel segmentation library for 3D point clouds

Toward better boundary preserved supervoxel segmentation for 3D point clouds

ISPRS journal of photogrammetry and remote sensing

Merge-Swap Optimization Framework for Supervoxel Generation from Three-Dimensional Point Clouds

Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method


MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance


Robotics Gym Environments

Asymmetric self-play for automatic goal discovery in robotic manipulation

panda-gym: Open-source goal-conditioned environments for robotic learning

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation

Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement


fast, memory-efficient, pythonic (and command-line) access to fasta sequence files

A bioinformatics workflow for detecting signatures of selection in genomic data

Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells

Diversity and structure of Bettongia tropica: using population genetics to guide reintroduction and help prevent the extinction of an endangered Australian marsupial

Population genetic structure and geographical variation in Neotricula aperta (Gastropoda: Pomatiopsidae), the snail intermediate host of Schistosoma mekongi (Digenea: Schistosomatidae)

Transmission Dynamics and Genomic Epidemiology of Emerging Variants of SARS-CoV-2 in Bangladesh

Tropical medicine and infectious disease

Metagenomic Sequencing for the Diagnosis of Plasmodium spp. with Different Levels of Parasitemia in EDTA Blood of Malaria Patients—A Proof-of-Principle Assessment

International journal of molecular sciences


CVPR Workshop paper -  AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

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

The role of noise in denoising models for anomaly detection in medical images

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection


The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Hierarchically Self-Supervised Transformer for Human Skeleton
  Representation Learning


llama and other  large language models on iOS and MacOS offline using GGML library.

LLaMA: Open and Efficient Foundation Language Models

Locally Typical Sampling

Cerebras-GPT: Open Compute-Optimal Language Models Trained on the
  Cerebras Wafer-Scale Cluster

Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity


Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017

A Corpus for Reasoning About Natural Language Grounded in Photographs

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Fooling Vision and Language Models Despite Localization and Attention Mechanism

Can you fool AI with adversarial examples on a visual Turing test

Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool

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

Mimic and Fool: A Task-Agnostic Adversarial Attack

IEEE transactions on neural networks and learning systems

Probing Cross-Modal Representations in Multi-Step Relational Reasoning

Workshop on Representation Learning for NLP


"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising

3D Human Pose, Shape and Texture from Low-Resolution Images and Videos


Multi-level Feature Learning for Contrastive Multi-view Clustering

Efficient Solvers for Wyner Common Information with Application to
  Multi-Modal Clustering


MATLAB programming tools for radiomics analysis

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer’s Disease

Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer's disease and mild cognitive impairment.

Therapeutic advances in neurological disorders

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features

Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis

The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups

Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study

Frontiers in cell and developmental biology

Quantitative CT radiomics-based models for prediction of haematoma expansion and poor functional outcome in primary intracerebral haemorrhage

Automatic detection of pneumonia in chest X-ray images using textural features


Tonic RL library

Time Limits in Reinforcement Learning

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and
  Benchmarking

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated
  and Musculoskeletal Systems


Dataset of prompts, synthetic AI generated images, and aesthetic ratings.

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image
  Generation

A taxonomy of prompt modifiers for text-to-image generation

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image
  Inpainting with Diffusion Models


An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents

Deep Reinforcement Learning with Double Q-learning

Gaussian Error Linear Units (GELUs)

A Distributional Perspective on Reinforcement Learning

Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target.


Create pgm map from Gazebo world file for ROS localization

iRotate: Active Visual SLAM for Omnidirectional Robots

Active Visual SLAM with Independently Rotating Camera

Design and Implementation of a Modular UUV Simulation Platform


Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

Learning Shape Abstractions by Assembling Volumetric Primitives

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks


"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

Confident Sinkhorn Allocation for Pseudo-Labeling

InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems


Optical and SAR pairing dataset

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework

Advances and Challenges in Multimodal Remote Sensing Image Registration


PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

ETC: Encoding Long and Structured Inputs in Transformers

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

A Real-World WebAgent with Planning, Long Context Understanding, and
  Program Synthesis

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

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets


The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation

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

Exploring Global Information for Session-based Recommendation

Social-aware Sparse Attention Network for Session-based Social Recommendation

Findings of the Association for Computational Linguistics: EMNLP 2022

Self Contrastive Learning for Session-based Recommendation

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review


Software to help identify overlap between association scan results and GWAS hit catalogs.

Exome sequencing of Finnish isolates enhances rare-variant association power

Generating testable hypotheses for schizophrenia and rheumatoid arthritis pathogenesis by integrating epidemiological, genomic, and protein interaction data

Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

Chromatin accessibility and gene expression during adipocyte differentiation identify context-dependent effects at cardiometabolic GWAS loci

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort


Dataset of images of trash; Torch-based CNN for garbage image classification

Deep learning-based waste detection in natural and urban environments

Deep Convolutional Neural Networks Object Detector for Real-Time Waste Identification

Smart Waste Management and Classification Systems Using Cutting Edge Approach

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack

Classifying Wastes Using Random Forests, Gaussian Naïve Bayes, Support Vector Machine and Multilayer Perceptron

IOP conference series. Materials science and engineering

Towards Lightweight Neural Networks for Garbage Object Detection

Towards artificially intelligent recycling Improving image processing for waste classification.

Waste Classification using Transfer Learning with Convolutional Neural Networks

IOP conference series. Earth and environmental science

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning

Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering.


Mapping Language to Code in a Programmatic Context

Mapping Language to Code in Programmatic Context

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

CoDesc: A Large Code-Description Parallel Dataset

Deep Learning Based Code Generation Methods: A Literature Review

Neural Machine Translation for Code Generation


Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients

Maternal-Fetal Immune Responses in Pregnant Women Infected with SARS-CoV-2

Genome-wide bidirectional CRISPR screens identify mucins as host factors modulating SARS-CoV-2 infection

Human Nasal Epithelial Cells Sustain Persistent SARS-CoV-2 Infection In Vitro, despite Eliciting a Prolonged Antiviral Response


[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs

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


BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Proving Test Set Contamination in Black Box Language Models

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


Span Model for Open Information Extraction on Accurate Corpus

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework

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

Constrained Tuple Extraction with Interaction-Aware Network

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

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models


Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Meeting of the Association for Computational Linguistics

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

Focus Attention: Promoting Faithfulness and Diversity in Summarization

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

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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


Asteroid Thermal Modeling

Predicting the accuracy of asteroid size estimation with data from the Rubin Observatory Legacy Survey of Space and Time

ATM: An open-source tool for asteroid thermal modeling and its application to NEOWISE data


Deep FusionNet for Point Cloud Semantic Segmentation

Instance Segmentation of LiDAR Point Clouds

International Conference on Robotics and Automation

PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network

FEC: Fast Euclidean Clustering for Point Cloud Segmentation


Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

Mixed Transformer U-Net For Medical Image Segmentation


Counterfactual Samples Synthesizing for Robust VQA

Counterfactual Samples Synthesizing for Robust Visual Question Answering

Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering

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

Introspective Distillation for Robust Question Answering

Counterfactual Samples Synthesizing and Training for Robust Visual
  Question Answering


Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

A Vertebral Segmentation Dataset with Fracture Grading

A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data

Labeling Vertebrae with Two-dimensional Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy

Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer
  Vision

Domain Generalization for Medical Image Analysis: A Survey

Real-time integration between Microsoft HoloLens 2 and 3D Slicer with demonstration in pedicle screw placement planning

International journal of computer assisted radiology and surgery


elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems

S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem


A WaveRNN implementation

Efficient Neural Audio Synthesis

Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction

Noise Tokens: Learning Neural Noise Templates for Environment-Aware Speech Enhancement

Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis.


[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

NeRF++: Analyzing and Improving Neural Radiance Fields

BARF: Bundle-Adjusting Neural Radiance Fields

GNeRF: GAN-based Neural Radiance Field without Posed Camera

MELON: NeRF with Unposed Images in SO(3)

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs


Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning


SSPACE Basic, SSAKE-based Scaffolding of Pre-Assembled Contigs after Extension

Whole-genome sequencing of the blue whale and other rorquals finds signatures for introgressive gene flow

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

Differential transcript expression profiles of susceptible and resistant pigeonpea cultivars at an early time point during Fusarium udum infection


Style Normalization and Restitution for Domain Generalization and Adaptation

Style Normalization and Restitution for Generalizable Person Re-identification

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention


FASTA/FASTQ pre-processing programs

Hybridization Capture Using RAD Probes (hyRAD), a New Tool for Performing Genomic Analyses on Collection Specimens

RNA-Seq Perspectives to Improve Clinical Diagnosis

Developmental excitation-inhibition imbalance underlying psychoses revealed by single-cell analyses of discordant twins-derived cerebral organoids

Dynamics of the Fouling Layer Microbial Community in a Membrane Bioreactor

Variation in Crossover Frequencies Perturb Crossover Assurance Without Affecting Meiotic Chromosome Segregation in Saccharomyces cerevisiae

Hypothalamic transcriptomic alterations in male and female California mice (Peromyscus californicus) developmentally exposed to bisphenol A or ethinyl estradiol

Transcriptomic Effects of the Cell Cycle Regulator LGO in Arabidopsis Sepals

Continental-Scale Patterns Reveal Potential for Warming-Induced Shifts in Cattle Diet

Global forensic geolocation with deep neural networks

Rational attenuation of RNA viruses with zinc finger antiviral protein


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

Coupled Generative Adversarial Networks

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

On Scalable and Efficient Computation of Large Scale Optimal Transport

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review


Review article: the human intestinal virome in health and disease

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Viral Diagnostics in Plants Using Next Generation Sequencing: Computational Analysis in Practice

Mosquito-Borne Viral Diseases: Control and Prevention in the Genomics Era

Vector-Borne Diseases - Recent Developments in Epidemiology and Control

Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome


CLIP+MLP Aesthetic Score Predictor

Optimizing Prompts for Text-to-Image Generation

Restart Sampling for Improving Generative Processes

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

HyperHuman: Hyper-Realistic Human Generation with Latent Structural
  Diffusion

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation
  with Visual Large Language Models

Sampler Scheduler for Diffusion Models


Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Proximal Policy Optimization Algorithms

Deep Reinforcement Learning that Matters

StarCraft II: A New Challenge for Reinforcement Learning

Relational Deep Reinforcement Learning

Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection.

Adversary agent reinforcement learning for pursuit-evasion

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
  Jointly Trained Generative Latent Space


A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network

YOLOv4: Optimal Speed and Accuracy of Object Detection

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Sharpness-Aware Minimization for Efficiently Improving Generalization


Conditional Diffusion Probabilistic Model for Speech Enhancement

Denoising Diffusion Probabilistic Models

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Noisy speech database for training speech enhancement algorithms and TTS models

A Study on Speech Enhancement Based on Diffusion Probabilistic Model

Noise-aware Speech Enhancement using Diffusion Probabilistic Model


Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

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

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

Learning to Compress Prompts with Gist Tokens

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Improving Cross-Task Generalization with Step-by-Step Instructions

MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following

Toward Zero-Shot Instruction Following


An extension layer that makes it easier to build complex networks in Mininet

Advancing Software-Defined Networks: A Survey

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

Intelligent Management and Efficient Operation of Big Data


Unsupervised Pre-training for Person Re-identification (LUPerson)

Large-Scale Pre-training for Person Re-identification with Noisy Labels

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Beyond Appearance: a Semantic Controllable Self-Supervised Learning
  Framework for Human-Centric Visual Tasks

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification


Conditional Object-Centric Learning from Video

SAVi++: Towards End-to-End Object-Centric Learning from Real-World
  Videos

Bridging the Gap to Real-World Object-Centric Learning

Unsupervised Multi-object Segmentation by Predicting Probable Motion
  Patterns

Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities

Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints


Variational mode decomposition (VMD) in Python

Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator

A Phase-resolved View of the Low-frequency Quasiperiodic Oscillations from the Black Hole Binary MAXI J1820+070

The First Polarimetric View on Quasiperiodic Oscillations in a Black Hole X-Ray Binary


Variational autoencoders for collaborative filtering

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Variational Autoencoders for Collaborative Filtering

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Graph Trend Filtering Networks for Recommendation

Revisiting the Performance of iALS on Item Recommendation Benchmarks

Markov Random Fields for Collaborative Filtering

Towards Amortized Ranking-Critical Training for Collaborative Filtering

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation

Density-Ratio Based Personalised Ranking from Implicit Feedback

Neural Variational Hybrid Collaborative Filtering


[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation

Malleable 2.5D Convolution: Learning Receptive Fields along the
  Depth-axis for RGB-D Scene Parsing

Robust Multimodal Learning with Missing Modalities via
  Parameter-Efficient Adaptation


A repository in preparation for open-sourcing lottery ticket hypothesis code.

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Stabilizing the Lottery Ticket Hypothesis

The Early Phase of Neural Network Training

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Learning Neural Network Subspaces

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

The Elastic Lottery Ticket Hypothesis

Prospect Pruning: Finding Trainable Weights at Initialization using
  Meta-Gradients

Revisiting "Qualitatively Characterizing Neural Network Optimization Problems"


This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametric Head Model (CVPR 2022)".

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

3D Face From X: Learning Face Shape from Diverse Sources

Generalizable One-shot Neural Head Avatar


Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

Situational Graphs for Robot Navigation in Structured Indoor Environments

SC-LiDAR-SLAM: a Front-end Agnostic Versatile LiDAR SLAM System


Porting caffe to android platform

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Yum-me: A Personalized Nutrient-based Meal Recommender System

CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge

Cloud-based or On-device: An Empirical Study of Mobile Deep Inference

Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras

Pelee-Text++: A Tiny Neural Network for Scene Text Detection

Efficient Incremental Learning for Mobile Object Detection

Yum-me: Personalized Healthy Meal Recommender System.


Pytorch implementation of BERT4Rec and Netflix VAE.

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Variational Autoencoders for Collaborative Filtering

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users

Rethinking Cross-Domain Sequential Recommendation under Open-World
  Assumptions

Towards Open-world Cross-Domain Sequential Recommendation: A
  Model-Agnostic Contrastive Denoising Approach


an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.


Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction


BLEURT is a metric for Natural Language Generation based on transfer learning.

PaLM: Scaling Language Modeling with Pathways

BLEURT: Learning Robust Metrics for Text Generation

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

Encouraging Divergent Thinking in Large Language Models through
  Multi-Agent Debate

Learning Compact Metrics for MT

The unreasonable effectiveness of few-shot learning for machine
  translation

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

Macro-Average: Rare Types Are Important Too

CoNT: Contrastive Neural Text Generation


Neural Attention Model for Abstractive Summarization

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

North American Chapter of the Association for Computational Linguistics

Pointing the Unknown Words

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Selective Encoding for Abstractive Sentence Summarization

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

Revisiting Self-Training for Neural Sequence Generation

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Controlling Output Length in Neural Encoder-Decoders

Neural Headline Generation on Abstract Meaning Representation

Empirical Methods in Natural Language Processing

Positional Encoding to Control Output Sequence Length


An open-source impl. of Large Reconstruction Models

LRM: Large Reconstruction Model for Single Image to 3D

ZeroShape: Regression-based Zero-shot Shape Reconstruction

MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction

ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance

GVGEN: Text-to-3D Generation with Volumetric Representation

Compress3D: a Compressed Latent Space for 3D Generation from a Single Image

ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

MVD^2: Efficient Multiview 3D Reconstruction for Multiview Diffusion

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models


Keras-based implementation of Relational Graph Convolutional Networks

Modeling Relational Data with Graph Convolutional Networks

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Relational Graph Convolutional Networks: A Closer Look

Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature
  Patterns


Yet another static code analyzer for malicious Android applications

An Analysis of Pre-installed Android Software

Are free Android app security analysis tools effective in detecting known vulnerabilities?

Analysis and Evaluation of SafeDroid v2.0, a Framework for Detecting Malicious Android Applications

Metamorphic Detection of Repackaged Malware


BloombergGPT: A Large Language Model for Finance

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?


Edge-labeling Graph Neural Network for Few-shot Learning

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

Weakly Correlated Knowledge Integration for Few-shot Image Classification


Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Attention Correctness in Neural Image Captioning

Context-aware Captions from Context-agnostic Supervision

Does Multimodality Help Human and Machine for Translation and Image Captioning?

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

Learning to generalize to new compositions in image understanding

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

3G structure for image caption generation

Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning.

A Semi-supervised Framework for Image Captioning


Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations

Not All Patches are What You Need: Expediting Vision Transformers via
  Token Reorganizations

International Conference on Learning Representations

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers


搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation,
  and Detection

CLUE: A Chinese Language Understanding Evaluation Benchmark

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model

Did the Model Change? Efficiently Assessing Machine Learning API Shifts

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification

Revealing Public Opinion towards the COVID-19 Vaccine with Weibo Data in China: BertFDA-Based Model

International journal of environmental research and public health

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API
  Predictions


A pytorch-version implementation codes of paper:  "BMN: Boundary-Matching Network for Temporal Action Proposal Generation",   which is accepted in ICCV 2019.

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

Boundary-sensitive Pre-training for Temporal Localization in Videos

Low-Fidelity Video Encoder Optimization for Temporal Action Localization

Structured Attention Composition for Temporal Action Localization

A Comprehensive Review on Temporal-Action Proposal Generation


Development version of Easyfig

Microbial Characteristics and Genomic Analysis of an ST11 Carbapenem-Resistant Klebsiella pneumoniae Strain Carrying blaKPC−2 Conjugative Drug-Resistant Plasmid

Emergence of a Carbapenem-Resistant Klebsiella pneumoniae Isolate Co-harbouring Dual blaNDM– 6-Carrying Plasmids in China

Interaction of multidrug-resistant hypervirulent Klebsiella pneumoniae with components of human innate host defense


Create cisTarget databases

A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys

scPlant: A versatile framework for single-cell transcriptomic data analysis in plants

Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis


VRT: A Video Restoration Transformer (official repository)

SwinIR: Image Restoration Using Swin Transformer

VRT: A Video Restoration Transformer


Basic implementations of standard cryptography algorithms, like AES and SHA-1.

Keystone: An Open Framework for Architecting TEEs

CT-wasm: type-driven secure cryptography for the web ecosystem

Proceedings of the ACM on programming languages

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Performance Evaluation of C/C++, MicroPython, Rust and TinyGo Programming Languages on ESP32 Microcontroller

Fine-Grained Static Detection of Obfuscation Transforms Using
  Ensemble-Learning and Semantic Reasoning


R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Deep Residual Learning for Image Recognition

Focal Loss for Dense Object Detection


This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

BallGAN: 3D-aware Image Synthesis with a Spherical Background

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

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized
  Codebase

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space


[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

RPM-Net: Robust Point Matching using Learned Features

PREDATOR: Registration of 3D Point Clouds with Low Overlap

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer


Vennerable provides Venn diagrams in R. It displays Venn and Euler diagrams for up to 9 different sets and using a variety of geometries. It allows the display of area-weighted Venn diagrams and allows fine graphical control over the result.

Polycomb- and Methylation-Independent Roles of EZH2 as a Transcription Activator

Transcriptional profiling of sugarcane leaves and roots under progressive osmotic stress reveals a regulated coordination of gene expression in a spatiotemporal manner

The forkhead transcription factor FOXK2 premarks lineage-specific genes in human embryonic stem cells for activation during differentiation

MicroRNAs contribute to postnatal development of laminar differences and neuronal subtypes in the rat medial entorhinal cortex

Human galectin-3: Molecular switch of gene expression in dermal fibroblasts in vitro and of skin collagen organization in open wounds and tensile strength in incisions in vivo

AFB1 and OTA Promote Immune Toxicity in Human LymphoBlastic T Cells at Transcriptomic Level

Cell-free genomics reveal intrinsic, cooperative and competitive determinants of chromatin interactions

ZMYM2 controls human transposable element transcription through distinct co-regulatory complexes

XAP5 CIRCADIAN TIMEKEEPER Affects Both DNA Damage Responses and Immune Signaling in Arabidopsis

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors


Automatically exported from code.google.com/p/word2vec

Pre-trained models for natural language processing: A survey

Advances in Pre-Training Distributed Word Representations

Underspecification Presents Challenges for Credibility in Modern Machine Learning

A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

When Does Unsupervised Machine Translation Work

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

What's in a Note? Unpacking Predictive Value in Clinical Note Representations.

Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation


Sequence-to-graph mapper and graph generator

A draft human pangenome reference

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

Pan-mitogenomics reveals the genetic basis of cytonuclear conflicts in citrus hybridization, domestication, and diversification

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

The design and construction of reference pangenome graphs

Phylogenomic Analysis of the Plastid Genome of the Peruvian Purple Maize Zea mays subsp. mays cv. ‘INIA 601’


High-accuracy NLP parser with models for 11 languages.

Constituency Parsing with a Self-Attentive Encoder

FlauBERT: Unsupervised Language Model Pre-training for French

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Unsupervised Recurrent Neural Network Grammars

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

Cross-Domain Generalization of Neural Constituency Parsers

Constituency Lattice Encoding for Aspect Term Extraction

International Conference on Computational Linguistics

Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

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

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models.


Towards Total Recall in Industrial Anomaly Detection

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

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

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers

LaughTalk: Expressive 3D Talking Head Generation with Laughter

CorrTalk: Correlation Between Hierarchical Speech and Facial Activity
  Variances for 3D Animation


[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Deep Depth Completion of a Single RGB-D Image

Variational Autoencoder with Arbitrary Conditioning

On-Demand Learning for Deep Image Restoration

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues


Firefly: 大模型训练工具，支持训练Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

Qwen Technical Report

EduChat: A Large-Scale Language Model-based Chatbot System for
  Intelligent Education

Chinese Open Instruction Generalist: A Preliminary Release

LongQLoRA: Efficient and Effective Method to Extend Context Length of
  Large Language Models


Official PyTorch implementation of StyleGAN3

Alias-Free Generative Adversarial Networks

Elucidating the Design Space of Diffusion-Based Generative Models

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

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids

Generative Neural Articulated Radiance Fields

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review

Generalized One-shot Domain Adaptation of Generative Adversarial
  Networks

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

Evaluating the Performance of StyleGAN2-ADA on Medical Images

Simulation and Synthesis in Medical Imaging


Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis

Variational Graph Auto-Encoders

Adversarial Permutation Guided Node Representations for Link Prediction

Directed Graph Auto-Encoders


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


SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Assessment of community efforts to advance network-based prediction of protein–protein interactions


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


Projecting images to latent space with StyleGAN2.

A Style-Based Generator Architecture for Generative Adversarial Networks

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Analyzing and Improving the Image Quality of StyleGAN

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?


Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

Hebbian semi-supervised learning in a sample efficiency setting

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

Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks

Deep Features for CBIR with Scarce Data using Hebbian Learning

Training Convolutional Neural Networks With Hebbian Principal Component
  Analysis


A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

The Mechanics of n-Player Differentiable Games

Differentiable Game Mechanics

LEAD: Min-Max Optimization from a Physical Perspective


Hexnet - The Hexagonal Image Processing Framework

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

International Conference on Machine Learning and Applications

Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation

International Conference on Information Photonics


Explaining Image Classifiers by Counterfactual Generation

Explaining image classifiers by removing input features using generative
  models

Information-Theoretic Visual Explanation for Black-Box Classifiers


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

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

Deep Networks with Stochastic Depth

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

MLP-Mixer: An all-MLP Architecture for Vision

Going deeper with Image Transformers


Deep Layer Aggregation in tensorflow

You Only Look Once: Unified, Real-Time Object Detection

YOLOv3: An Incremental Improvement

YOLO9000: Better, Faster, Stronger

Deep Layer Aggregation


[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Graph Self-Supervised Learning: A Survey

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

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


Mathematical notes and papers

Internal Universes in Models of Homotopy Type Theory

A cubical model of homotopy type theory

Strict universes for Grothendieck topoi

Sheaf semantics of termination-insensitive noninterference

Kripke-Joyal forcing for type theory and uniform fibrations

A Cubical Language for Bishop Sets

Denotational semantics of general store and polymorphism

Definable and Non-definable Notions of Structure


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

ARMA Nets: Expanding Receptive Field for Dense Prediction

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


Wikipedia text corpus for self-supervised NLP model training


DeepInspect code release

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

MixTrain: Scalable Training of Verifiably Robust Neural Networks

Testing DNN Image Classifiers for Confusion & Bias Errors

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings

Fairness Testing: A Comprehensive Survey and Analysis of Trends


Differentially Private Conditional Generative Adversarial Network

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

DP-CGAN: Differentially Private Synthetic Data and Label Generation

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Private Set Generation with Discriminative Information


Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"

DialFact: A Benchmark for Fact-Checking in Dialogue

How Robust are Fact Checking Systems on Colloquial Claims?

North American Chapter of the Association for Computational Linguistics


Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper: https://arxiv.org/abs/2110.09958

FMA: A Dataset For Music Analysis

FSD50K: An Open Dataset of Human-Labeled Sound Events

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks


Models for automatic abstractive summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

Advances of Transformer-Based Models for News Headline Generation

Importance of Copying Mechanism for News Headline Generation


MEDFAIR: Benchmarking Fairness for Medical Imaging

Sharpness-Aware Minimization for Efficiently Improving Generalization

Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization

Learning Adversarially Fair and Transferable Representations

Learning Not to Learn: Training Deep Neural Networks with Biased Data

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

SWAD: Domain Generalization by Seeking Flat Minima

EnD: Entangling and Disentangling deep representations for bias correction

Conditional Learning of Fair Representations

Fairness by Learning Orthogonal Disentangled Representations


Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

Deep Residual Learning for Image Recognition

Continual Learning Through Synaptic Intelligence

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

Continual Learning Based on OOD Detection and Task Masking

Graceful Degradation and Related Fields


Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset

HARTH: A Human Activity Recognition Dataset for Machine Learning

A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living

Journal for the measurement of physical behaviour

Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model

Unleashing the Power of Shared Label Structures for Human Activity Recognition


GANs in Smart Agriculture

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review

Computers and electronics in agriculture

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review

Generative Adversarial Networks


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


The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Toward Understanding and Evaluating Structural Node Embeddings


Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

Fixing Data Augmentation to Improve Adversarial Robustness

Toward Understanding Generative Data Augmentation


CLIPfa: Connecting Farsi Text and Images

Learning Transferable Visual Models From Natural Language Supervision

SRCB at SemEval-2023 Task 1: Prompt Based and Cross-Modal Retrieval Enhanced Visual Word Sense Disambiguation

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation


An R package for hierarchical clustering with p-values

A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma

Computational and structural biotechnology journal

Database of space life investigations and bioinformatics of microbiology in extreme environments

How to Render Species Comparable Taxonomic Units Through Deep Time: A Case Study on Intraspecific Osteological Variability in Extant and Extinct Lacertid Lizards

Unrelated Fungal Rust Candidate Effectors Act on Overlapping Plant Functions