Memory consumption and FLOP count estimates for convnets

Survey and Benchmarking of Machine Learning Accelerators

IEEE High Performance Extreme Computing Conference

Survey of Machine Learning Accelerators

Compute and Energy Consumption Trends in Deep Learning Inference

AI Accelerator Survey and Trends

A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform

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

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

Distilled Neural Networks for Efficient Learning to Rank

IEEE Transactions on Knowledge and Data Engineering

Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions

Meeting of the Association for Computational Linguistics

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning

ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference


Importance Weighted Autoencoders

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Semi-Amortized Variational Autoencoders

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation


Implementation of the Pairwise Sequentially Markovian Coalescent (PSMC) model

Temporal Dynamics of Avian Populations during Pleistocene Revealed by Whole-Genome Sequences

PSMC analysis of effective population sizes in molecular ecology and its application to black‐and‐white Ficedula flycatchers

Demographic Divergence History of Pied Flycatcher and Collared Flycatcher Inferred from Whole-Genome Re-sequencing Data

The tuatara genome reveals ancient features of amniote evolution

The Genomic Footprints of the Fall and Recovery of the Crested Ibis

Antarctic blackfin icefish genome reveals adaptations to extreme environments

Reference genome and demographic history of the most endangered marine mammal, the vaquita

Genomic basis of homoploid hybrid speciation within chestnut trees

Genome sequence of the basal haplorrhine primate Tarsius syrichta reveals unusual insertions

Recent evolution in Rattus norvegicus is shaped by declining effective population size


Denoising Diffusion Probabilistic Models

Variational Diffusion Models

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

Fast Sampling of Diffusion Models with Exponential Integrator

DIRE for Diffusion-Generated Image Detection

gDDIM: Generalized denoising diffusion implicit models

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection


BasicIRSTD toolbox

Asymmetric Contextual Modulation for Infrared Small Target Detection

SCTransNet: Spatial-Channel Cross Transformer Network for Infrared Small Target Detection

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines


[ACL 2022] LinkBERT: A Knowledgeable Language Model  Pretrained with Document Links

LinkBERT: Pretraining Language Models with Document Links

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

ShapeNet: An Information-Rich 3D Model Repository

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Neural 3D Mesh Renderer


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


Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval

Automatic Claim Review for Climate Science via Explanation Generation


SpinalNet: Deep Neural Network with Gradual Input

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SYSTEMS SCIENCE AND ENGINEERING (IEEE RASSE 2021)

Reduction of Class Activation Uncertainty with Background Information

Generating Synthetic Datasets by Interpolating along Generalized Geodesics

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis


This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Instance-Conditioned GAN

Masked Autoencoders are Robust Data Augmentors

Background Splitting: Finding Rare Classes in a Sea of Background


GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

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

Feature Pyramid Networks for Object Detection

Scale-Aware Trident Networks for Object Detection


Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

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

Deep Learning on Graphs: A Survey

Physically-interpretable classification of biological network dynamics for complex collective motions

Resting-state based prediction of task-related activation in patients with disorders of consciousness

Leveraging Ferroelectric Stochasticity and In-Memory Computing for DNN IP Obfuscation

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits


Pytorch implementation of Deep Variational Information Bottleneck

Deep Variational Information Bottleneck

Conditional entropy minimization principle for learning domain invariant representation features

Elastic Information Bottleneck


Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Revisiting Contextual Toxicity Detection in Conversations

Text Style Transfer with Contrastive Transfer Pattern Mining

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

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

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


An open dataset for object detection in remote sensing images

Aircraft Detection in High Spatial Resolution Remote Sensing Images Combining Multi-Angle Features Driven and Majority Voting CNN

CBA: Contextual Background Attack Against Optical Aerial Detection in the Physical World

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

A Novel Effectively Optimized One-Stage Network for Object Detection in Remote Sensing Imagery

A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution

Computational intelligence and neuroscience

A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking

A Novel Method of Aircraft Detection under Complex Background Based on Circular Intensity Filter and Rotation Invariant Feature

YOLO-DSD: A YOLO-Based Detector Optimized for Better Balance between Accuracy, Deployability and Inference Time in Optical Remote Sensing Object Detection

MPE-YOLO: enhanced small target detection in aerial imaging

SRFAD-Net: Scale-Robust Feature Aggregation and Diffusion Network for Object Detection in Remote Sensing Images


Paper 'Transformer based Pluralistic Image Completion with Reduced Information Loss' in TPAMI 2024 and 'Reduce Information Loss in Transformers for Pluralistic Image Inpainting' in CVPR2022

Zero-Shot Text-to-Image Generation


Anomaly Detection via Reverse Distillation from One-Class Embedding

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

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

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

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

Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images


Domain Specific Language for the Abstraction and Reasoning Corpus

CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge

Addressing the Abstraction and Reasoning Corpus via Procedural Example
  Generation


Cross-platform software to draw phylogenetic trees

Loss of key endosymbiont genes may facilitate early host control of the chromatophore in Paulinella

High-resolution species assignment of Anopheles mosquitoes using k-mer distances on targeted sequences

Niche and ecosystem preference of earliest diverging fungi in soils

Mycology&#58 An International Journal on Fungal Biology

AutoPhy: Automated phylogenetic identification of novel protein subfamilies


Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Deep Reinforcement Learning in Parameterized Action Space

Reinforcement Learning with Parameterized Actions

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation


Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Graph Neural Network for Traffic Forecasting: A Survey

Discrete Graph Structure Learning for Forecasting Multiple Time Series

Multivariate Time Series Forecasting with Latent Graph Inference

Residual Correction in Real-Time Traffic Forecasting

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


A PyTorch implementation of the Deep SVDD anomaly detection method

Deep One-Class Classification

International Conference on Machine Learning

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

Data-Driven Robust Optimization using Unsupervised Deep Learning

Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning

Meta Learning for Few-Shot One-class Classification

Unsupervised anomaly detection algorithms on real-world data: how many do we need?

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

FROCC: Fast Random projection-based One-Class Classification


Implementation of C-RNN-GAN.

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Generative adversarial networks in time series: A survey and taxonomy

GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Time-series Generation by Contrastive Imitation


implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions

2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection

Perceptual Pat: A Virtual Human Visual System for Iterative Visualization Design

YOLOR-Based Multi-Task Learning

Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review


Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

Efficient Lifelong Learning with A-GEM

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

On Tiny Episodic Memories in Continual Learning

Class-incremental Learning via Deep Model Consolidation

Model Zoo: A Growing "Brain" That Learns Continually

Online Prototype Learning for Online Continual Learning

International Conference on Machine Learning and Applications

Single-Net Continual Learning with Progressive Segmented Training (PST)

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization

Efficient continual learning at the edge with progressive segmented training


A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

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

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information


Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection

Explainable Enterprise Credit Rating via Deep Feature Crossing Network


Language-Driven Semantic Segmentation

Language-driven Semantic Segmentation

Decomposing NeRF for Editing via Feature Field Distillation


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

TotalSegmentator: robust segmentation of 104 anatomical 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

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

One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts

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

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


Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking


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

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

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

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

Did the Model Change? Efficiently Assessing Machine Learning API Shifts

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

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

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

International journal of environmental research and public health


Unsupervised Question answering via Cloze Translation

Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Question Answering by Cloze Translation

Regularization of Distinct Strategies for Unsupervised Question Generation

When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised

MACHINE LEARNING AND KNOWLEDGE EXTRACTION (CD-MAKE 2021)


Python library to compute knowledge graph embeddings

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Holographic Embeddings of Knowledge Graphs

Representation Learning for Natural Language Processing

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

RDFFrames: Knowledge Graph Access for Machine Learning Tools


Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

Meta-Transformer: A Unified Framework for Multimodal Learning


Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Deep Iterative and Adaptive Learning for Graph Neural Networks

Compact Graph Structure Learning via Mutual Information Compression

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

Latent Graph Inference with Limited Supervision


Repository to accompany RSS 2018 paper on dexterous hand manipulation

Sample-efficient Cross-Entropy Method for Real-time Planning

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems


[ 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

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

MELON: NeRF with Unposed Images in SO(3)


"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)

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

Confident Sinkhorn Allocation for Pseudo-Labeling


Building a Bayesian deep learning classifier

Deep Residual Learning for Image Recognition

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Learning uncertainty with artificial neural networks for predictive process monitoring


3D generation code for MVDream

MVDream: Multi-view Diffusion for 3D Generation

Common Diffusion Noise Schedules and Sample Steps are Flawed

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

MicroDreamer: Zero-shot 3D Generation in ∼20 Seconds by Score-based
  Iterative Reconstruction


StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Generative Adversarial Text to Image Synthesis

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Image Generation from Scene Graphs

Fashion-Gen: The Generative Fashion Dataset and Challenge

Generating Multiple Objects at Spatially Distinct Locations

Visual-Relation Conscious Image Generation from Structured-Text

FairyTailor: A Multimodal Generative Framework for Storytelling


Exploring Self-attention for Image Recognition, CVPR2020.

Involution: Inverting the Inherence of Convolution for Visual Recognition

Studying inductive biases in image classification task


Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Improving CLIP Fine-tuning Performance

IEEE International Conference on Computer Vision

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners


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

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

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

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

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


Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

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

A Review of Detection and Removal of Raindrops in Automotive Vision Systems

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

Restoring Raindrops Using Attentive Generative Adversarial Networks


Code and models from the paper "Layer Normalization"

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition

Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks


GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

International Conference on Information and Knowledge Management

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)

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks

News Session-Based Recommendations using Deep Neural Networks

PROCEEDINGS OF THE 3RD WORKSHOP ON DEEP LEARNING FOR RECOMMENDER SYSTEMS (DLRS)

Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

DiffuRec: A Diffusion Model for Sequential Recommendation

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations


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

DINOv2: Learning Robust Visual Features without Supervision

Depth Anything V2


face keypoints deteciton based on stackedhourglass

Mask R-CNN

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Stacked Hourglass Networks for Human Pose Estimation

Associative Embedding: End-to-End Learning for Joint Detection and Grouping


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

Evaluating the Performance of StyleGAN2-ADA on Medical Images

Simulation and Synthesis in Medical Imaging

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


Image Captioning Using Transformer

On Vision Features in Multimodal Machine Translation

YOLOR-Based Multi-Task Learning

Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks


Auto-encoding & Generating 3D  Point-Clouds.

Learning Representations and Generative Models for 3D Point Clouds

LION: Latent Point Diffusion Models for 3D Shape Generation

Learning Gradient Fields for Shape Generation

Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

Deep Learning on Implicit Neural Representations of Shapes


Interface to the MODIS Land Products Subsets Web Services


A methodology to assess the Real Impact of funds on social and environmental issues.


RMI's steel emissions accounting and data exchange guidance


Enhanced LTSM for natural language inference

Enhanced LSTM for Natural Language Inference

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

Neural Natural Language Inference Models Enhanced with External Knowledge

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

When data permutations are pathological: the case of neural natural language inference

Empirical Methods in Natural Language Processing

Soft Label Memorization-Generalization for Natural Language Inference

Generating Contradictory, Neutral, and Entailing Sentences


#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720

Enhancement and Segmentation Workflow for the Developing Zebrafish Vasculature

Image Analysis in Light Sheet Fluorescence Microscopy Images of Transgenic Zebrafish Vascular Development

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2018

Validating Segmentation of the Zebrafish Vasculature

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2019

Segmentation of the Zebrafish Brain Vasculature from Light Sheet Fluorescence Microscopy Datasets

3D quantification of zebrafish cerebrovascular architecture by automated image analysis of light sheet fluorescence microscopy datasets


A repository for the GLEAM 4-Jy (G4Jy) Sample

The GLEAM 4-Jy (G4Jy) Sample: I. Definition and the catalogue

Publications of the Astronomical Society of Australia

The GLEAM 4-Jy (G4Jy) Sample: II. Host galaxy identification for individual sources

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

Monthly Notices of the Royal Astronomical Society


Fiji macro for cutting confocal stacks at various depths relative to surface signal

ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks

FERONIA and microtubules independently contribute to mechanical integrity in the Arabidopsis shoot

Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks

Zenodo (CERN European Organization for Nuclear Research)


plant NGS analysis

Linking key steps of microRNA biogenesis by TREX-2 and the nuclear pore complex inArabidopsis

Anterograde signaling controls plastid transcription via sigma factors separately from nuclear photosynthesis genes

Transcriptome-wide analyses of RNA m6A methylation in hexaploid wheat reveal its roles in mRNA translation regulation

Arabidopsis HOT3/eIF5B1 constrains rRNA RNAi by facilitating 18S rRNA maturation

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


Opacus: User-Friendly Differential Privacy Library in PyTorch

Large Language Models Can Be Strong Differentially Private Learners

Efficient Per-Example Gradient Computations

Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy

On the Convergence and Calibration of Deep Learning with Differential Privacy.

Differentially Private Sharpness-Aware Training


Comparative survey of multigraph integration methods

Gender differences in cortical morphological networks

Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates

Medical Image Computing and Computer-Assisted Intervention

Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping

Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration

Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation

Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis


Explicit Sentence Compression for Neural Machine Translation

Attention Is All You Need

Convolutional Sequence to Sequence Learning


Pre-trained Language Models in Biomedical Domain: A Systematic Survey

GenCompareSum: a hybrid unsupervised summarization method using salience

Workshop on Biomedical Natural Language Processing

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models


Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

Attention-based LSTM for Aspect-level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification


Bayesian Analysis for Stellar Evolution

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. I. STATISTICAL AND COMPUTATIONAL METHODS

Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters – III. Analysis of 30 Clusters

A BAYESIAN ANALYSIS OF THE AGES OF FOUR OPEN CLUSTERS

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. II. NGC 5024, NGC 5272, AND NGC 6352

New Determination of Fundamental Properties of Palomar 5 Using Deep DESI Imaging Data

Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual


Named-entity datasets and GloVe models for the Armenian language

pioNER: Datasets and Baselines for Armenian Named Entity Recognition

2018 Ivannikov Ispras Open Conference (ISPRAS)

Word Embeddings for the Armenian Language: Intrinsic and Extrinsic Evaluation

Describing Language Variation in the Colophons of Armenian Manuscripts


COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

CovidAID: COVID-19 Detection Using Chest X-Ray

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review

LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases


Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for ICML paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)

Masked Autoencoders Are Scalable Vision Learners

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders


RealSim is the statistical observational realism suite described in Bottrell et al 2017ab and made public in Bottrell et al 2019b.

Deep learning predictions of galaxy merger stage and the importance of observational realism

Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG

Galaxy sizes and the galaxy-halo connection - I. The remarkable tightness of the size distributions

Star formation characteristics of CNN-identified post-mergers in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS)

The merger fraction of post-starburst galaxies in UNIONS

IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation

AGNs in post-mergers from the ultraviolet near infrared optical northern survey

ERGO-ML -- Comparing IllustrisTNG and HSC galaxy images via contrastive learning

The limitations (and potential) of non-parametric morphology statistics for post-merger identification


Quantitative analysis of cell motility behaviors

Aging induces aberrant state transition kinetics in murine muscle stem cells

Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance

Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction

Assessing and enhancing migration of human myogenic progenitors using directed iPS cell differentiation and advanced tissue modelling


Generic Neural Architecture Search via Regression

Extensible and Efficient Proxy for Neural Architecture Search

IEEE International Conference on Computer Vision

Extensible Proxy for Efficient NAS


Genome assembly soft-masking using Red (REpeat Detector)

The Genome of the Margined White Butterfly (Pieris macdunnoughii): Sex Chromosome Insights and the Power of Polishing with PoolSeq Data

Comparative Genome Analysis Across 128 Phytophthora Isolates Reveal Species-Specific Microsatellite Distribution and Localized Evolution of Compartmentalized Genomes

Navigating Eukaryotic Genome Annotation Pipelines: A Route Map to
  BRAKER, Galba, and TSEBRA


PROUD is an open-source high-throughput distributed outlier detection engine for intense data streams that is implemented in Scala on top of the Apache Flink framework.

Continuous Outlier Mining of Streaming Data in Flink

PROUD: PaRallel OUtlier Detection for Streams

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

Multi-parameter streaming outlier detection


Multivariate Gaussian Models for Genomic and Pedigree Data

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package

Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes

Genetic Contribution to Variation in Blood Calcium, Phosphorus, and Alkaline Phosphatase Activity in Pigs

Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)

Deciphering Cattle Temperament Measures Derived From a Four-Platform Standing Scale Using Genetic Factor Analytic Modeling


Gaussian gradient magnitude filtering of astronomical images

A Galaxy-scale Fountain of Cold Molecular Gas Pumped by a Black Hole

Detecting edges in the X-ray surface brightness of galaxy clusters

Studying the merging cluster Abell 3266 with eROSITA

A new step forward in realistic cluster lens mass modelling: analysis of Hubble Frontier Field Cluster Abell S1063 from joint lensing, X-ray, and galaxy kinematics data

Monthly notices of the Royal Astronomical Society

Re-energisation of AGN head-tail radio galaxies in the galaxy cluster ZwCl0634.1+47474

The NuSTAR and Chandra View of CL 0217+70 and Its Tell-tale Radio Halo


Quantum Natural Language Processing (QNLP)'s project repository for Qiskit Hackathon Europe.

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Foundations for Near-Term Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Learning with Opponent-Learning Awareness

Real-Time Reinforcement Learning

DiCE: The Infinitely Differentiable Monte-Carlo Estimator


Rich Feature Construction for the Optimization-Generalization Dilemma

Understanding and Improving Feature Learning for Out-of-Distribution Generalization

Learning useful representations for shifting tasks and distributions


Analysis tools for PhIP-seq experiments

Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C)

medRxiv : the preprint server for health sciences

Autoantigen discovery with a synthetic human peptidome

Epitope profiling reveals binding signatures of SARS-CoV-2 immune response in natural infection and cross-reactivity with endemic human CoVs

Phage ImmunoPrecipitation Sequencing (PhIP-Seq): The Promise of High Throughput Serology

Antibody epitope profiling of the KSHV LANA protein using VirScan

Epitope profiling reveals binding signatures of SARS-CoV-2 immune response and cross-reactivity with endemic HCoVs

Viral Epitope Scanning Reveals Correlation between Seasonal HCoVs and SARS-CoV-2 Antibody Responses among Cancer and Non-Cancer Patients


[NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures

A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions

Euler Characteristic Tools For Topological Data Analysis

Fast, Stable and Efficient Approximation of Multi-parameter Persistence Modules with MMA


SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for
  Clinical Trials

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data

International Workshop on Semantic Evaluation


Munge GenBank files into FASTA and tab-separated metadata

Novel and extendable genotyping system for Human Respiratory Syncytial Virus based on whole-genome sequence analysis

Variation Profile of the Orthotospovirus Genome

Whole Genome or Single Genes? A Phylodynamic and Bibliometric Analysis of PRRSV

An investig-ation into the epidemiology of chikungunya virus across neglected regions of Indonesia

Temporal and coevolutionary analyses reveal the events driving the emergence and circulation of human mamastroviruses

Analyses of Early ZIKV Genomes Are Consistent with Viral Spread from Northeast Brazil to the Americas


ZTF Uniform Depth Survey Image Processing Pipeline

A Search for Extragalactic Fast Blue Optical Transients in ZTF and the Rate of AT2018cow-like Transients

The Zwicky Transient Facility Type Ia supernova survey: first data release and results

Variability-selected intermediate mass black hole candidates in dwarf galaxies from ZTF and WISE

Cosmological Fast Optical Transients with the Zwicky Transient Facility: A Search for Dirty Fireballs

Two c's in a pod: Cosmology independent measurement of the Type Ia supernova colour-luminosity relation with a sibling pair


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


Repository for the ERA-NUTS dataset.

ERA-NUTS: time-series based on C3S ERA5 for European regions


A set of instruments to design the sustainability-quality concerns at the software architecture level, and define and operationalize them

Characterizing the contribution of quality requirements to software sustainability

Architecture Design Decision Maps for Software Sustainability

International Conference on Software Engineering

An Action Research for Improving the Sustainability Assessment Framework Instruments

Towards a Software Sustainability-Quality Model: Insights from a Multi-Case Study

Research Challenges in Information Science

Sustainability Competencies and Skills in Software Engineering: An Industry Perspective

Sustainability in Software Architecture: A Systematic Mapping Study


ipole (master, originally published), ipole-v2.0 (v2.0 is more compact with additional features). This is the original repository for the ipole code.

ipole - semianalytic scheme for relativistic polarized radiative transport

Stringent axion constraints with Event Horizon Telescope polarimetric measurements of M87⋆

Decomposing the internal faraday rotation of black hole accretion flows

PATOKA: Simulating Electromagnetic Observables of Black Hole Accretion

The Astrophysical Journal Supplement Series

Unraveling circular polarimetric images of magnetically arrested accretion flows near event horizon of a black hole

The Role of Adaptive Ray Tracing in Analyzing Black Hole Structure

First Sagittarius A* Event Horizon Telescope Results. VIII. Physical Interpretation of the Polarized Ring

Black Hole Polarimetry I. A Signature of Electromagnetic Energy Extraction

Impact of non-thermal electron radiation effects on the horizon scale image structure of Sagittarius A∗


A comprehensive benchmark of deepfake detection

UCF: Uncovering Common Features for Generalizable Deepfake Detection

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection


Package for computing the Atos Q-score.

Quantum Volume in Practice: What Users Can Expect From NISQ Devices

IEEE Transactions on Quantum Engineering

Neutral atom quantum computing hardware: performance and end-user perspective

Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK


The repo lists papers of various areas, including Graph Analytics, Graph Acceleration, Subgraph Matching, Streaming Graph Management, Worst-case Optimal Join Algorithms, Join Plan Optimization, and so on.

EmptyHeaded: A Relational Engine for Graph Processing

Skew Strikes Back: New Developments in the Theory of Join Algorithms

Graphflow: An Active Graph Database

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Low-Latency Graph Streaming Using Compressed Purely-Functional Trees

Time-evolving graph processing at scale

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems

GPU-Accelerated Subgraph Enumeration on Partitioned Graphs

Adopting worst-case optimal joins in relational database systems

GRADES - PGX.ISO: Parallel and Efficient In-Memory Engine for Subgraph Isomorphism

Proceedings of Workshop on GRAph Data management Experiences and Systems


Deep Learning for EM Connectomics

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Petascale neural circuit reconstruction: automated methods

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions


Shorts is R package that creates short sprint profiles

A simple method for measuring power, force, velocity properties, and mechanical effectiveness in sprint running

Scandinavian journal of medicine & science in sports

The Difference Is in the Start: Impact of Timing and Start Procedure on Sprint Running Performance

The Journal of Strength and Conditioning Research

The National Football League Combine 40-yd Dash: How Important is Maximum Velocity?

Biomechanics of Training and Testing

Sprint Mechanical Characteristics of Female Soccer Players: A Retrospective Pilot Study to Examine a Novel Approach for Correction of Timing Gate Starts

shorts: An R Package for Modeling Short Sprints

International Journal of Strength and Conditioning


Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Improving robustness against common corruptions by covariate shift adaptation

Test-Time Adaptation via Self-Training with Nearest Neighbor Information

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition


Bayesian Sparsification of Recurrent Neural Networks

Bayesian Compression for Natural Language Processing

Bayesian Sparsification of Gated Recurrent Neural Networks


SPH code for compressible flows

Improving convergence in smoothed particle hydrodynamics simulations without pairing instability

A general class of Lagrangian smoothed particle hydrodynamics methods and implications for fluid mixing problems

Monthly Notices of the Royal Astronomical Society

A DENSITY-INDEPENDENT FORMULATION OF SMOOTHED PARTICLE HYDRODYNAMICS

Hydrodynamic simulations with the Godunov smoothed particle hydrodynamics


Dense Passage Retrieval for Open-Domain Question Answering

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

AmbigQA: Answering Ambiguous Open-domain Questions

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction


Evaluation of BEIR Datasets using ColBERT retrieval model

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Relevance-guided Supervision for OpenQA with ColBERT


On testing for spatial correspondence between maps of human brain structure and function

High-resolution connectomic fingerprints: Mapping neural identity and behavior

Morphometricity as a measure of the neuroanatomical signature of a trait

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


Augmented halo model for accurate non-linear matter power spectrum calculations

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models

KiDS-450+2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering

CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces

HMCODE-2020: improved modelling of non-linear cosmological power spectra with baryonic feedback

The Uchuu simulations: Data Release 1 and dark matter halo concentrations

Modelling baryonic physics in future weak lensing surveys

Dark energy survey year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space


Simple gym environments for safety in Reinforcement Learning Research

Constrained Policy Optimization

A Lyapunov-based Approach to Safe Reinforcement Learning

Lyapunov-based Safe Policy Optimization for Continuous Control

Lexicographic Multi-Objective Reinforcement Learning

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence


Pre-training BART model for the Italian Language

mT5: A massively multilingual pre-trained text-to-text transformer

IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization


A curated list of awesome clonality and tumor heterogeneity resources

Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

Tree inference for single-cell data

THetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

qpure: A Tool to Estimate Tumor Cellularity from Genome-Wide Single-Nucleotide Polymorphism Profiles

Inferring Clonal Composition from Multiple Sections of a Breast Cancer

Reference-free inference of tumor phylogenies from single-cell sequencing data

International Conference on Computational Advances in Bio and Medical Sciences


Evolve Me A Cluster of StarS

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

Towards an N-body model for the globular cluster M4

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

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


Code to prepare and use common datasets for scene analysis tasks

Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

Efficient Multi-Task Scene Analysis with RGB-D Transformers

PanopticNDT: Efficient and Robust Panoptic Mapping


Collaborative Translational Metric Learning (ICDM 2018)

Symmetric Metric Learning with Adaptive Margin for Recommendation

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

Multi-Facet Recommender Networks with Spherical Optimization


Various estimators of the infinite dimensional exponential family model

Density Estimation in Infinite Dimensional Exponential Families

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Denoising Score Matching with Random Fourier Features


CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition


Multiple implementations for abstractive text summurization , using google colab

Neural Machine Translation by Jointly Learning to Align and Translate

Get To The Point: Summarization with Pointer-Generator Networks

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

A Deep Reinforced Model for Abstractive Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Deep Architectures for Abstractive Text Summarization in Multiple Languages

International Conference on Computer Engineering and Systems

Amharic Abstractive Text Summarization


A simple framework for distributed reinforcement learning in PyTorch.

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

Soft Actor-Critic Algorithms and Applications

Distributed Prioritized Experience Replay

Soft Actor-Critic for Discrete Action Settings


High Performance Computing Conjugate Gradients:  The original Mantevo miniapp

Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

International Conference on High Performance Computing

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs

QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing


Cost-efficient genome-wide gene expression profiling

Evolutionary Consequences of DNA Methylation in a Basal Metazoan

Functional genomic analysis of corals from natural CO2-seeps reveals core molecular responses involved in acclimatization to ocean acidification

Molecular characterization of larval development from fertilization to metamorphosis in a reef-building coral

Magnitude and Predictability of pH Fluctuations Shape Plastic Responses to Ocean Acidification

Genetic patterns in Montipora capitata across an environmental mosaic in Kāne'ohe Bay, O'ahu, Hawai'i

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

Decoupling behavioral and transcriptional responses to color in an eyeless cnidarian

The role of gene expression and symbiosis in reef-building coral acquired heat tolerance

Blood and brain gene expression signatures of chronic intermittent ethanol consumption in mice

Ocean Warming Leads to Increases in Aerobic Demand and Changes to Gene Expression in the Pinfish (Lagodon rhomboides)


Measuring Robustness in Deep Learning Based Compressive Sensing

Adversarial Robust Training of Deep Learning MRI Reconstruction Models

Adversarial Robust Training in MRI Reconstruction.


Uncovering new families and folds in the natural protein universe

What is hidden in the darkness? Deep-learning assisted large-scale protein family curation uncovers novel protein families and folds


Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Training Generative Adversarial Networks with Limited Data

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Image color correction, enhancement, and editing


General-Purpose Reinforcement Learning

Deep Residual Learning for Image Recognition

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

CBAM: Convolutional Block Attention Module

Identity Mappings in Deep Residual Networks

Effective Approaches to Attention-based Neural Machine Translation

Searching for MobileNetV3

Hybrid computing using a neural network with dynamic external memory

Human-level performance in 3D multiplayer games with population-based reinforcement learning


Self-supervised pre-training method to fuse LiDAR and camera features.

Masked Autoencoders Are Scalable Vision Learners

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification


TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean

Structural Neural Additive Models: Enhanced Interpretable Machine Learning


Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Improving Diffusion Models for ECG Imputation with an Augmented Template Prior

The Rise of Diffusion Models in Time-Series Forecasting


Simple pytorch implementation of FGSM and I-FGSM

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Adversarial Attack and Defense on Graph Data: A Survey

Adaptive Wiener Filter and Natural Noise to Eliminate Adversarial Perturbation

A Variational Dirichlet Framework for Out-of-Distribution Detection

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

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

Zero Stability Well Predicts Performance of Convolutional Neural Networks

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks


Author Disambiguation using Knowledge Graph Embeddings with Literals

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

SPECTER: Document-level Representation Learning using Citation-informed Transformers

A knowledge graph embeddings based approach for author name disambiguation using literals

AMiner-534K - Dataset

Zenodo (CERN European Organization for Nuclear Research)

OC-782K: Knowledge Graph of "Scientometrics" modelled according to the OpenCitations Data Model

Dataset for paper: " Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals"


Routines to model ocean carbonate system thermodynamics

Improved routines to model the ocean carbonate system: mocsy 2.0

Observation-constrained estimates of the global ocean carbon sink from Earth system models


CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval

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

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


Fast Correlation Function Calculator

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Consistency of effective field theory analyses of the BOSS power spectrum

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

BOSS full-shape analysis from the EFTofLSS with exact time dependence

The DESI N-body Simulation Project II: Suppressing Sample Variance with Fast Simulations

Model BOSS & eBOSS Luminous Red Galaxies at 0.2 < z < 1.0 using SubHalo Abundance Matching with 3 parameters

Monthly notices of the Royal Astronomical Society

Fast correlation function calculator

Cosmic void exclusion models and their impact on the distance scale measurements from large scale structure


Openflow SDN Manufacturer Usage Description (MUD) Server implementation on OpenDaylight Nitrogen Release

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

Mitigation of Privacy Threats due to Encrypted Traffic Analysis through a Policy-Based Framework and MUD Profiles

On the Analysis of MUD-Files' Interactions, Conflicts, and Configuration Requirements Before Deployment


Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Feature Generating Networks for Zero-Shot Learning

A Review of Generalized Zero-Shot Learning Methods


Code to perform multivariate linear regression using Gibbs sampling

Cosmology and Astrophysics from Relaxed Galaxy Clusters III: Thermodynamic Profiles and Scaling Relations

A Gibbs Sampler for Multivariate Linear Regression

Coping with selection effects: a Primer on regression with truncated data

The Concentration–Mass relation of massive, dynamically relaxed galaxy clusters: agreement between observations and ΛCDM simulations


Design platform for creating single-chain polyhedral cages made from coiled-coil building modules

Coiled coil protein origami: from modular design principles towards biotechnological applications

Coiled-Coils: The Molecular Zippers that Self-Assemble Protein Nanostructures

International journal of molecular sciences

Metal ion–regulated assembly of designed modular protein cages

Designed folding pathway of modular coiled-coil-based proteins


A Tidy Framework to Hack Gene Expression Signatures

Inferring tumour purity and stromal and immune cell admixture from expression data

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity

Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity

hacksig: a unified and tidy R framework to easily compute gene expression signature scores


Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Deep Compositional Metric Learning


Diffusion-LM

Diffusion-LM Improves Controllable Text Generation

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

Latent Diffusion for Language Generation

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!


AASC: ACL Anthology Sentence Corpus

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance

Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers

FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models

Communicative-Function-Based Sentence Classification for Construction of an Academic Formulaic Expression Database

Conference of the European Chapter of the Association for Computational Linguistics


A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.

Fast and scalable polynomial kernels via explicit feature maps

Signature moments to characterize laws of stochastic processes

Approximate Bayesian Computation with Path Signatures

Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation

Random Fourier Signature Features

The Signature Kernel

Generative model for financial time series trained with MMD using a signature kernel


Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.

ACSAC - Through the eye of the PLC: semantic security monitoring for industrial processes

Asia-Pacific Computer Systems Architecture Conference

TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)

Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks

Timing-Based Anomaly Detection in SCADA Networks

IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems

International Conference on Software Engineering

Intrusion Detection for Sequence-Based Attacks with Reduced Traffic Models

Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen

Facilitating Protocol-independent Industrial Intrusion Detection Systems

Conference on Computer and Communications Security


Creative Commons Attribution Share Alike 4.0 International

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Findings of the WMT 2020 Shared Task on Chat Translation

Empirical Methods in Natural Language Processing

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task

Modeling Bilingual Conversational Characteristics for Neural Chat Translation

Towards Making the Most of Dialogue Characteristics for Neural Chat Translation

Scheduled Multi-task Learning for Neural Chat Translation

The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task

HAL (Le Centre pour la Communication Scientifique Directe)

Recent Advances in Dialogue Machine Translation

Low Resource Chat Translation: A Benchmark for Hindi–English Language Pair

Conference of the Association for Machine Translation in the Americas

A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation

IEEE transactions on pattern analysis and machine intelligence


A short library for calculating the state transitions Perturbational Complexity Index (PCIst)

Local sleep-like cortical reactivity in the awake brain after focal injury

Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice

Capacity for consciousness under ketamine anaesthesia is selectively associated with activity in posteromedial cortex in rats

Assessing awareness in severe Alzheimer’s disease

Laminar evoked responses in mouse somatosensory cortex suggest a special role for deep layers in cortical complexity


Variational Auto-Encoder that generates synthetic gene expression data

Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

IEEE International Conference on Bioinformatics and Biomedicine

Correlated Variational Auto-Encoders

Variance Loss in Variational Autoencoders


synthetic spectrum calculation companion to MARCS

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

HORuS transmission spectroscopy of 55 Cnc e

Monthly Notices of the Royal Astronomical Society

The CARMENES search for exoplanets around M dwarfs

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

Probing the atmosphere of HD189733b with the Na i and K i lines

The Hidden Companion in J1527: A 0.69 Solar-mass White Dwarf?

GHOST commissioning science results II: a very metal-poor star witnessing the early galactic assembly

Evidence of deep mixing in IRS 7, a cool massive supergiant member of the Galactic nuclear star cluster

Chemical abundances of the young inner-disc open cluster NGC 6705 observed by APOGEE: sodium-rich and not α-enhanced


Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation

Joint Optimization of Tokenization and Downstream Model

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing


Multivariate Gaussian distributions for Tensorflow.

Structured Uncertainty Prediction Networks

Training VAEs Under Structured Residuals

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance


Collection of scripts to reproduce the results of Astic et al. (2020): forward modelling and joint inversion of potential fields data with petrophysical information (Petrophysically and geologically guided inversion: PGI)

SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications

A framework for simulation and inversion in electromagnetics

A framework for petrophysically and geologically guided geophysical inversion using a dynamic Gaussian mixture model prior

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

Petrophysically guided geophysical inversion using a dynamic Gaussian mixture model prior

SEG Technical Program Expanded Abstracts 2018


Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents

Robust Forecasting through GeneralizedSynchronization in Reservoir Computing

A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks


Proximal Mean-field for Neural Network Quantization

Training Binary Neural Networks using the Bayesian Learning Rule

Mirror Descent View for Neural Network Quantization


Using backtracking line search as learning rate finder for Neural Nets. Pytorch repo.

Convergence to minima for the continuous version of Backtracking Gradient Descent

Some convergent results for Backtracking Gradient Descent method on Banach spaces

Backtracking gradient descent method for general C^1 functions, with applications to Deep Learning

Backtracking Gradient Descent allowing unbounded learning rates

Unconstrained optimisation on Riemannian manifolds

Asymptotic behaviour of learning rates in Armijo's condition

Coordinate-wise Armijo's condition


MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Data augmentation for deep learning based accelerated MRI reconstruction with limited data


Development version of mtobjects, a tool for finding objects in astronomical images.

Optimising and comparing source-extraction tools using objective segmentation quality criteria

Quantified diffuse light in compact groups of galaxies

Tilted outer and inner structures in edge-on galaxies?

Unveiling the Nature of Polar-ring Galaxies from Deep Imaging


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

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

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

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

IEEE Transactions on Aerospace and Electronic Systems


Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors

Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model

Generalized Domain Adaptation Framework for Parametric Back-End in Speaker Recognition


Rainfall Rescue


Pioneer Networks: Progressively Growing Generative Autoencoder

Semi-supervised image attribute editing using generative adversarial networks

A Plug-in Method for Representation Factorization in Connectionist Models

IEEE transactions on neural networks and learning systems


the official TangXu's group released codes about the Remote Sensing images classificaiton

Attention Consistent Network for Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels

IEEE Transactions on Geoscience and Remote Sensing

Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification


Bridging Vision and Language Model

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

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Multi-Modal Experience Inspired AI Creation

Proceedings of the 30th ACM International Conference on Multimedia


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

Constrained Update Projection Approach to Safe Policy Optimization

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning


Analysis of TE contribution to features (transcripts or simple features). Includes utils to test enrichment.

Rapid evolution of piRNA clusters in theDrosophila melanogasterovary

bioRxiv : the preprint server for biology

Transposable elements generate regulatory novelty in a tissue-specific fashion

Chemotherapy-induced transposable elements activate MDA5 to enhance haematopoietic regeneration

Confined migration induces heterochromatin formation and alters chromatin accessibility

Zebrafish transposable elements show extensive diversification in age, genomic distribution, and developmental expression

A cis-acting structural variation at the ZNF558 locus controls a gene regulatory network in human brain development.

WEE1 inhibition induces anti-tumor immunity by activating ERV and the dsRNA pathway

Evolution of mouse circadian enhancers from transposable elements

Transposable element exaptation is the primary source of novelty in the primate gene regulatory landscape

Transposable Elements Continuously Remodel the Regulatory Landscape, Transcriptome, and Function of Decidual Stromal Cells


R package for Brazilian reservoirs data


Measuring the Mixing of Contextual Information in the Transformer

Quantifying Attention Flow in Transformers

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models


[AAAI'21] Code release for "Visual Pivoting for (Unsupervised) Entity Alignment".

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


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

Distributional Reinforcement Learning via Moment Matching

Distributional Reinforcement Learning with Maximum Mean Discrepancy.


Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

G-TAD: Sub-Graph Localization for Temporal Action Detection

Video Self-Stitching Graph Network for Temporal Action Localization


Principal Neighbourhood Aggregation for Graph Nets

Building powerful and equivariant graph neural networks with structural message-passing

Asynchronous Neural Networks for Learning in Graphs


Tunable Approach for Median Polish of Ratio -- Biological Abundance Batch Effect Removal

Large-scale deep multi-layer analysis of Alzheimer’s disease brain reveals strong proteomic disease-related changes not observed at the RNA level

Integrated proteomics reveals brain-based cerebrospinal fluid biomarkers in asymptomatic and symptomatic Alzheimer’s disease

Multivariant Transcriptome Analysis Identifies Modules and Hub Genes Associated with Poor Outcomes in Newly Diagnosed Multiple Myeloma Patients

Unbiased Classification of the Human Brain Proteome Resolves Distinct Clinical and Pathophysiological Subtypes of Cognitive Impairment

The decreased astrocyte-microglia interaction reflects the early characteristics of Alzheimer’s Disease


Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model

CNN Architectures for Large-Scale Audio Classification

AST: Audio Spectrogram Transformer


This repository is to develop novel AIs for complex C2 decision making. It consists of parallel branches for GUI and for AI development (coming soon) for the ARL Battlespace wargame.

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning

Battlespace: using AI to understand friendly vs. hostile decision dynamics in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III

Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics

ARL Battlespace: a platform for developing novel AI for complex adversarial reasoning in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV


The code is the implention of paper "Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion"

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

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review

BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images

IEEE Transactions on Computational Imaging

Blind Fusion of Hyperspectral Multispectral Images Based on Matrix Factorization

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver


Automated deep-learning based brain tumor segmentation on MRI

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors

Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI

Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning

Microvasculature Features Derived from Hybrid EPI MRI in Non-Enhancing Adult-Type Diffuse Glioma Subtypes

Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma


Transformer-based model for learning authorship representations.

Learning Invariant Representations of Social Media Users

A Deep Metric Learning Approach to Account Linking

Few-Shot Detection of Machine-Generated Text using Style Representations

Can Authorship Representation Learning Capture Stylistic Features?

Learning to Generate Text in Arbitrary Writing Styles


Texture Analysis test tool for PET images

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

European journal of nuclear medicine and molecular imaging

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

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

International journal of radiation oncology, biology, physics

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

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

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

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

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

Three-dimensional positron emission tomography image texture analysis of esophageal squamous cell carcinoma

The promise and limits of PET texture analysis

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


Estimate Permutation p-Values for Random Forest Importance Metrics

Root ethylene mediates rhizosphere microbial community reconstruction when chemically detecting cyanide produced by neighbouring plants

Allometry and Distribution of Nitrogen in Natural Plant Communities of the Tibetan Plateau

Making It Last: Storage Time and Temperature Have Differential Impacts on Metabolite Profiles of Airway Samples from Cystic Fibrosis Patients

Accumulation of di-2-ethylhexyl phthalate from polyvinyl chloride flooring into settled house dust and the effect on the bacterial community

Experimental Warming Has Not Affected the Changes in Soil Organic Carbon During the Growing Season in an Alpine Meadow Ecosystem on the Qinghai–Tibet Plateau


Multi-modal Siamese Network for Entity Alignment, SIGKDD 2022

MMKG: Multi-Modal Knowledge Graphs

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

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


The R tool associated with 3VmrMLM, a comprehensive GWAS method for identifying QTNs, QTN-by-environment interactions, and QTN-by-QTN interactions for quantitative traits.

Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed

Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice

Identification of QTNs, QTN-by-environment interactions and genes for yield-related traits in rice using 3VmrMLM

Identification of QTL, QTL-by-environment interactions, and their candidate genes for resistance HG Type 0 and HG Type 1.2.3.5.7 in soybean using 3VmrMLM

Genome-wide association study of cooking-caused grain expansion in rice (Oryza sativa L.)


A haplotype analysis toolkit for natural variation study.

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

CandiHap: a haplotype analysis toolkit for natural variation study

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


Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

GSum: A General Framework for Guided Neural Abstractive Summarization

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Human-like Summarization Evaluation with ChatGPT

Improving Factual Consistency of Abstractive Summarization via Question Answering

Noisy Self-Knowledge Distillation for Text Summarization

Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

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


The Midnight Scanning Club Codebase

Parallel hippocampal-parietal circuits for self- and goal-oriented processing

A precision functional atlas of personalized network topography and probabilities

Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans


Large Language Model for MOEA

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search

Large Language Model for Multi-objective Evolutionary Optimization

Algorithm Evolution Using Large Language Model

L-AutoDA: Leveraging Large Language Models for Automated Decision-based
  Adversarial Attacks


[ICML'21] Think Global and Act Local:  Bayesian Optimisation for Categorical and Mixed Search Spaces

Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature


An open-source library for the analysis of protein interactions.

Modeling the Dynamics of Protein–Protein Interfaces, How and Why?

Predicting the Specificity- Determining Positions of Receptor Tyrosine Kinase Axl

Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks


Implementation of Random Expert Distillation

Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

Imitation with Neural Density Models

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

Support-weighted Adversarial Imitation Learning


EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering

Introspective Distillation for Robust Question Answering

Adaptive loose optimization for robust question answering


Scripts and noise data for Belinkov & Bisk 2018

Synthetic and Natural Noise Both Break Neural Machine Translation

On Adversarial Examples for Character-Level Neural Machine Translation

Towards a Robust Deep Neural Network in Texts: A Survey


Fine-tuning large language models with huggingface transformers and deepspeed

LoRA: Low-Rank Adaptation of Large Language Models

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation


PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering


Data generator for creating synthetic audio mixtures suitable for DCASE Challenge 2022 Task 3

META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection

Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms

Sound Source Distance Estimation in Diverse and Dynamic Acoustic Conditions

Zero- and Few-shot Sound Event Localization and Detection


OOPSLA 2019 Artifact for AutoPandas. Website at https://rbavishi.github.io/autopandas

AutoPandas: neural-backed generators for program synthesis

Proceedings of the ACM on Programming Languages

Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V (Technical Report)

Absynthe: Abstract Interpretation-Guided Synthesis


IDR

Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts

YAP/TAZ drives cell proliferation and tumour growth via a polyamine-eIF5A hypusination-LSD1 axis

Readout of histone methylation by Trim24 locally restricts chromatin opening by p53

Machine learning sequence prioritization for cell type-specific enhancer design

AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identification

Protocol for assay of transposase accessible chromatin sequencing in non-model species


Optimizing Abstract Abstract Machines

The Essence of Summarization in Pushdown Flow Analysis

Optimizing abstract abstract machines

International Conference on Functional Programming

Higher-order Demand-driven Program Analysis

ACM Transactions on Programming Languages and Systems

Automating Abstract Interpretation of Abstract Machines


Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://github.com/Verified-Intelligence/auto_LiRPA instead)

Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

Verification for Machine Learning, Autonomy, and Neural Networks Survey

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications


This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning

Matching Networks for One Shot Learning

Meta-Learning for Semi-Supervised Few-Shot Classification

Meta-learning with differentiable closed-form solvers


HomBlocks: A multiple-alignment construction pipeline for organelle phylogenomics based on locally collinear block searching

Identification of the Complete Chloroplast Genome of Malus zhaojiaoensis Jiang and Its Comparison and Evolutionary Analysis with Other Malus Species

The complete mitochondrial genome of Alternaria alternata (Hypocreales: Nectriaceae)

Chloroplast Genes Are Involved in The Male-Sterility of K-Type CMS in Wheat

Molecular Structure and Variation Characteristics of the Plastomes from Six Malus baccata (L.) Borkh. Individuals and Comparative Genomic Analysis with Other Malus Species

Assembly and comparative analysis of chloroplast genome of wheat K-CMS line and maintainer line


PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Monotonic Multihead Attention

Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS


2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN  https://arxiv.org/abs/1708.04552

Improved Regularization of Convolutional Neural Networks with Cutout

Unlabeled Data Improves Adversarial Robustness

An Empirical Study of Example Forgetting during Deep Neural Network Learning

General E(2)-Equivariant Steerable CNNs

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

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

Rethinking the Pruning Criteria for Convolutional Neural Network

Relating Adversarially Robust Generalization to Flat Minima

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information

Breast Cancer Dataset, Classification and Detection Using Deep Learning


A data set regarding news veracity on social media. Published at ICWSM-18.

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Sentiment Analysis for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

News recommender system: a review of recent progress, challenges, and opportunities


This is all the code and data from the Pantheon analysis https://arxiv.org/abs/1710.00845

Planck 2018 results. VI. Cosmological parameters

HAL (Le Centre pour la Communication Scientifique Directe)

Early Dark Energy can Resolve the Hubble Tension

On the Hubble Constant Tension in the SNe Ia Pantheon Sample

Oscillating scalar fields and the Hubble tension: A resolution with novel signatures

Cosmic microwave background bounds on primordial black holes including dark matter halo accretion

Can late dark energy transitions raise the Hubble constant?

On the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: A Feasibility Study for GRB-Cosmology in 2030

What can machine learning tell us about the background expansion of the Universe?

Null signal for the cosmic anisotropy in the Pantheon supernovae data

Is there really a Hubble tension?


MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing

An ensemble of convolution-based methods for fault detection using vibration signals

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


Plug and Play Language Models: A Simple Approach to Controlled Text Generation

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation


Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"

Neural Ordinary Differential Equations

GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

Compositional Attention Networks for Machine Reasoning


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

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

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


codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Routing Arena: A Benchmark Suite for Neural Routing Solvers


MADGRAD Optimization Method

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization

Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures

Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex Optimization


DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

Temporal Predictive Coding For Model-Based Planning In Latent Space

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


A Python package for mapping sequence aligned data onto protein structures

Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens

Proteome-wide mapping of immune features onto Plasmodium protein three-dimensional structures

BioStructMap: a Python tool for integration of protein structure and sequence-based features


knot theory and computational algebra software

A refinement of Rasmussen’s S-invariant

On the geography and botany of knot Floer homology

Khovanov homotopy type, Burnside category and products

Rasmussen's spectral sequences and the slN-concordance invariants

The Bar-Natan homology and unknotting number

Immersed Concordances of Links and Heegaard Floer Homology

Equivariant Jones Polynomials of periodic links

Journal of Knot Theory and Its Ramifications

Khovanov homology and periodic links

Khovanov homotopy type, periodic links and localizations

A mixed invariant of non-orientable surfaces in equivariant Khovanov homology


Corpus of Spanish Golden-Age Sonnets (with metrical annotation) / Corpus de Sonetos del Siglo de Oro (con anotación métrica)

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

Towards a Philological Metric through a Topological Data Analysis Approach

Description of Postdata Poetry Ontology V1.0

Tackling the Toolkit: Plotting Poetry through Computational Literary Studies


Soil-Water-Balance: A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge.


A novel unsupervised batch removal framework, called iMAP, based on neural networks.

iMAP: integration of multiple single-cell datasets by adversarial paired transfer 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

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences


A Python Package for Stochastic Block Model Inference

Learning from Counterfactual Links for Link Prediction

Counterfactual Graph Learning for Link Prediction.

A generalized Bayesian stochastic block model for microbiome community detection


Online optimisation tool for wind+solar+storage systems


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

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

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

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


A MATLAB class for Mean Square Displacement analysis.

Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines

Substrate adhesion determines migration during mesenchymal cell condensation in chondrogenesis

Matrix topology guides collective cell migration in vivo


DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level

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

Deep Ensemble Learning-Based Models for Diagnosis of COVID-19 from Chest CT Images

Hand Gesture Recognition with Two Stage Approach Using Transfer Learning and Deep Ensemble Learning


Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning


Curriculum by Smoothing (NeurIPS 2020)

Curriculum By Smoothing

Learning Rate Curriculum

Frequency Dropout: Feature-Level Regularization via Randomized Filtering


The code and data used for EACL2023 Paper: "Large Language Models are few(1)-shot Table Reasoners"

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding


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

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Uncertainty in Gradient Boosting via Ensembles

Bayesian Optimisation over Multiple Continuous and Categorical Inputs

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

On the Importance of Strong Baselines in Bayesian Deep Learning

Single Shot MC Dropout Approximation

Radial and Directional Posteriors for Bayesian Neural Networks


A nicely formatted LaTeX preprint template

Revisiting the thorny issue of missing values in single-cell proteomics

Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis

Did the Musk Takeover Boost Contentious Actors on Twitter?

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

A Tutorial on Parametric Variational Inference

Toxic comments reduce the activity of volunteer editors on Wikipedia

CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data

Multiscale Biomolecular Simulations in the Exascale Era

Using visual scores and categorical data for genomic prediction of complex traits in breeding programs