ProFound source finding and extraction

ProFound: Source Extraction and Application to Modern Survey Data

The SAMI Galaxy Survey: Quenching of Star Formation in Clusters I. Transition Galaxies

Observational properties of ultra-diffuse galaxies in low-density environments: field UDGs are predominantly blue and star forming

Monthly notices of the Royal Astronomical Society

Galaxy And Mass Assembly (GAMA): a forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type

Monthly Notices of the Royal Astronomical Society

Halo mass estimates from the globular cluster populations of 175 low surface brightness galaxies in the Fornax cluster

Galaxy And Mass Assembly (GAMA): assimilation of KiDS into the GAMA database

JWST PEARLS. Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

Radio source extraction with PROFOUND

Automated detectionof very low surface brightness galaxiesin the Virgo cluster

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations


Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based
  Offline Reinforcement Learning

A Bayesian Approach to Robust Inverse Reinforcement Learning


A Novel Listwise Collaborative Ranking Algorithm published at ICML'18

SQL-Rank: A Listwise Approach to Collaborative Ranking

Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation

Advances in Collaborative Filtering and Ranking

A Differentiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems.


Pytorch code of  "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Matching Networks for One Shot Learning

Meta-Learning for Semi-Supervised Few-Shot Classification

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification


This is the tools for Spherical U-Net on spherical cortical surfaces

A Deep-Discrete Learning Framework for Spherical Surface Registration

SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical
  Surface Registration


"Learning a Geometric Representation for Depth Estimation via Gradient Field and Contrastive Loss" (ICRA 2021)

Deeper Depth Prediction with Fully Convolutional Residual Networks

High Quality Monocular Depth Estimation via Transfer Learning


Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Leveraging Adversarial Examples to Quantify Membership Information Leakage

Membership Inference Attacks via Adversarial Examples


Streaming Multi-Talker ASR with Token-Level Serialized Output Training

Large-Scale Streaming End-to-End Speech Translation with Neural Transducers

DiariST: Streaming Speech Translation with Speaker Diarization


Reinforcement learning - Batched Impala - PyTorch - Mario Kart

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU


Face Recognition, Face Liveness Detection, Face Attribute Analysis (Age & Gender, Emotion, Demographics, Ethnicity and many more.)

FaceNet: A Unified Embedding for Face Recognition and Clustering

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

CosFace: Large Margin Cosine Loss for Deep Face Recognition

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

Deep Face Recognition: A Survey

SIBGRAPI Conference on Graphics, Patterns and Images

Circle Loss: A Unified Perspective of Pair Similarity Optimization

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Partial FC: Training 10 Million Identities on a Single Machine

Masked Face Recognition for Secure Authentication


MissForest—non-parametric missing value imputation for mixed-type data

Fast Gaussian Process Regression for Big Data

CLIMFILL: A Framework for Intelligently Gap-filling Earth Observations


Testing Nerual Tangent Kernel (NTK) on small UCI datasets

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks

On the Similarity between the Laplace and Neural Tangent Kernels

Mechanism of feature learning in deep fully connected networks and
  kernel machines that recursively learn features

Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets

A Neural Tangent Kernel Perspective of Infinite Tree Ensembles


PyTorch implementation of Spatially Transformed Adversarial Examples

Imperceptible Adversarial Examples by Spatial Chroma-Shift


Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D

Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles

Asymmetry and Condition Number of an Elliptic-Parabolic System for Biological Network Formation

Multi-timescale reinforcement learning in the brain

bioRxiv : the preprint server for biology

Spatial accuracy evaluation of magnetic source imaging methods on OPM-based MEG

Unsupervised learning of observation functions in state-space models by
  nonparametric moment methods


Zero-Shot Cross-Lingual Semantic Parsing (Sherborne & Lapata, ACL 2022)

Zero-Shot Cross-lingual Semantic Parsing

Bootstrapping a Crosslingual Semantic Parser

Extrinsic Evaluation of Machine Translation Metrics

On Evaluating Multilingual Compositional Generalization with Translated Datasets


DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

Beyond Generation: Harnessing Text to Image Models for Object Detection
  and Segmentation

EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level
  Weakly Supervised Instance Segmentation


a reimplementation of Holistically-Nested Edge Detection in PyTorch

Holistically-Nested Edge Detection

Unsupervised Domain Generalization by Learning a Bridge Across Domains

A Brief Analysis of the Holistically-Nested Edge Detector

Shape Defense Against Adversarial Attacks

Edge Augmentation for Large-Scale Sketch Recognition without Sketches

Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes

Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning


Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Trainability, Expressivity and Interpretability in Gated Neural ODEs


Vietnamese stopwords

New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts

Vietnamese Text Classification with TextRank and Jaccard Similarity Coefficient

Advances in science, technology and engineering systems journal

Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts

Vietnamese Short Text Classification via Distributed Computation

International journal of advanced computer science and applications/International journal of advanced computer science & applications


This repository contains PyTorch implementations of various random feature maps for dot product kernels.

The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings

Improved Random Features for Dot Product Kernels

Complex-to-Real Sketches for Tensor Products with Applications to the
  Polynomial Kernel


Python library for Recurrent Gaussian Processes

Recurrent Gaussian Processes

Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction

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


Realtime, Accurate Background Changer, Portrait Segmentation, Portrait Matting, Background Removal for Android

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Robust Graph Learning From Noisy Data

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction


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


Training a MNIST classifier, and use it to compute inception score (ICP)

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security


A High-level Library for Named Entity Recognition in Python.

Attention Is All You Need

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

Adaptive Fine-Tuning of Transformer-Based Language Models for Named
  Entity Recognition


A curated list of scene graph generation and related area resources. :-)

Video Visual Relation Detection

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Annotating Objects and Relations in User-Generated Videos

International Conference on Multimedia Retrieval

Video Relation Detection with Spatio-Temporal Graph

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

CRA-Net: Composed Relation Attention Network for Visual Question Answering

Video Visual Relation Detection via Multi-modal Feature Fusion

Image Captioning with Scene-graph Based Semantic Concepts

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Visual Spatial Attention Network for Relationship Detection

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Scene Graph Generation: A Comprehensive Survey

Relation Understanding in Videos

Visual Relation Detection with Multi-Level Attention


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

CNN Architectures for Large-Scale Audio Classification

AST: Audio Spectrogram Transformer


The Sound Demixing Challenge 2023 x2013 Music Demixing Track

Benchmarks and leaderboards for sound demixing tasks

The Sound Demixing Challenge 2023 x2013 Cinematic Demixing
  Track


Nice and tidy implementation of resnet-type networks for classification in tensorflow 2.0

When the Curious Abandon Honesty: Federated Learning Is Not Private

Disentangling deep neural networks with rectified linear units using duality.


FuSeBMC is a novel Energy-Efficient Test Generator that exploits fuzzing and BMC engines to detect security vulnerabilities in real-world C programs.

FuSeBMC: A White-Box Fuzzer for Finding Security Vulnerabilities in C
  Programs

FuSeBMC v.4: Smart Seed Generation for Hybrid Fuzzing


Processing and analysis of proteomics data

Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry

Proteomic and phosphoproteomic landscapes of acute myeloid leukemia

Inflammatory osteolysis is regulated by site-specific ISGylation of the scaffold protein NEMO

Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection

Loss of KMT2C reprograms the epigenomic landscape in hPSCs resulting in NODAL overexpression and a failure of hemogenic endothelium specification

KDM6A knockout in human iPSCs alters the genome-wide histone methylation profile at active and poised enhancers, activating expression of ectoderm gene expression pathways

Protein Kinase Signaling Networks Driven by Oncogenic Gq/11 in Uveal Melanoma Identified by Phosphoproteomic and Bioinformatic Analyses


All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等

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

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models
  by Instance-Guided Mask

ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding

FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction


Deep Comprehensive Correlation Mining

Deep Comprehensive Correlation Mining for Image Clustering

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

Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning


List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

Prohibited Item Detection in Airport X-Ray Security Images via Attention Mechanism Based CNN

PATTERN RECOGNITION AND COMPUTER VISION, PT II

Semantic Segmentation for Prohibited Items in Baggage Inspection

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

Threat Objects Detection in X-ray Images Using an Active Vision Approach

Handgun Detection in Single-Spectrum Multiple X-ray Views Based on 3D Object Recognition

A GAN-Based Image Generation Method for X-Ray Security Prohibited Items

PATTERN RECOGNITION AND COMPUTER VISION (PRCV 2018), PT I

Deep Learning-Based X-Ray Baggage Hazardous Object Detection – An FPGA Implementation

Graph clustering and variational image segmentation for automated firearm detection in X-ray images

Application of Machine Learning Methods for Material Classification with Multi-energy X-Ray Transmission Images

Modified Adaptive Implicit Shape Model for Object Detection

NEURAL INFORMATION PROCESSING, ICONIP 2019, PT V


Benchmark for LP-relaxed robustness verification of ReLU-networks

Provable defenses against adversarial examples via the convex outer adversarial polytope

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Tight Certification of Adversarially Trained Neural Networks via
  Nonconvex Low-Rank Semidefinite Relaxations


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

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

Adopting worst-case optimal joins in relational database systems

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

Proceedings of Workshop on GRAph Data management Experiences and Systems


Code of the paper "LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning" & LocoMuJoCo Baselines

IQ-Learn: Inverse soft-Q Learning for Imitation

LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion


An efficient speech separation method

An efficient encoder-decoder architecture with top-down attention for
  speech separation

GASS: Generalizing Audio Source Separation with Large-scale Data


Creative Commons Attribution Share Alike 4.0 International

GEMBA — GPT Estimation Metric Based Assessment

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

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

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


Official repository for the paper: "Controlling Geometric Abstraction and Texture for Artistic Images"

Microsoft COCO: Common Objects in Context

Perceptual Losses for Real-Time Style Transfer and Super-Resolution


Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

Auto-Encoding Variational Bayes

Disentangling by Factorising

Understanding disentangling in β-VAE

The role of Disentanglement in Generalisation

International Conference on Learning Representations


[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse
  Training


[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

Inductive Relation Prediction by Subgraph Reasoning

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding

Findings of the Association for Computational Linguistics: ACL 2023


Simple yet effective targeted transferable attack (NeurIPS 2021)

On Success and Simplicity: A Second Look at Transferable Targeted Attacks

On Generating Transferable Targeted Perturbations

Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration


This repository contains CO1 reference sets that can be used with the RDP Classifier, BLAST, or SINTAX to classify COI metabarcode sequences.

Automated high throughput animal CO1 metabarcode classification

DNA metabarcoding reveals metacommunity dynamics in a threatened boreal wetland wilderness

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

Putting COI Metabarcoding in Context: The Utility of Exact Sequence Variants (ESVs) in Biodiversity Analysis

MetaWorks: A flexible, scalable bioinformatic pipeline for high-throughput multi-marker biodiversity assessments

Automated high throughput animal DNA metabarcode classification


[2022 TPAMI] Contrastive Positive Sample Propagation along the Audio-Visual Event Line

VGGSound: A Large-scale Audio-Visual Dataset

Dual-modality seq2seq network for audio-visual event localization

Contrastive Positive Sample Propagation Along the Audio-Visual Event Line


The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)

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

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

ActMAD: Activation Matching to Align Distributions for Test-Time-Training

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


Non-linear Mendelian randomization

Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization

Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses

Association of Habitual Alcohol Intake With Risk of Cardiovascular Disease

Higher adiposity and mental health: causal inference using Mendelian randomization

Human molecular genetics online/Human molecular genetics

Effects of body mass index on relationship status, social contact, and socioeconomic position: Mendelian Randomization study in UK Biobank

Blood Leukocyte Counts in Alzheimer Disease


Official PyTorch repository for Hypercomplex Image-to-Image Transaltion

Quaternion Generative Adversarial Networks

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

A Quaternion-Valued Variational Autoencoder

Hypercomplex Image- to- Image Translation

IEEE International Joint Conference on Neural Network


Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

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

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials


The public repository about our joint FINN research project

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Weight Uncertainty in Neural Networks

Fourier Neural Operator for Parametric Partial Differential Equations

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

Augmenting physical models with deep networks for complex dynamics forecasting

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks

Composing Partial Differential Equations with Physics-Aware Neural Networks

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.


Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with
  Sparse Observations

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

CUTS: Neural Causal Discovery from Irregular Time-Series Data

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders

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


Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

Riemannian Multinomial Logistics Regression for SPD Neural Networks

A Lie Group Approach to Riemannian Batch Normalization


PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Confidence-Based Feature Imputation for Graphs with Partially Known
  Features


Collection of various scripts

De novo Assembly of the Burying Beetle Nicrophorus orbicollis (Coleoptera: Silphidae) Transcriptome Across Developmental Stages with Identification of Key Immune Transcripts

A comprehensive evaluation of binning methods to recover human gut microbial species from a non-redundant reference gene catalog

Hopping or Jumping on the Cliffs: The Unusual Phylogeographical and Demographic Structure of an Extremely Narrow Endemic Mediterranean Plant


PRG's Software and Hardware Framework for Quadrotors

MorphEyes: Variable Baseline Stereo For Quadrotor Navigation

PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry

Bidirectional Sampling-Based Motion Planning Without Two-Point Boundary Value Solution

NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction

Bidirectional Sampling Based Search Without Two Point Boundary Value
  Solution


Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction

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

A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information

iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices.


The official homepage of the COCO-Stuff dataset.

COCO-Stuff: Thing and Stuff Classes in Context

OCNet: Object Context Network for Scene Parsing

Editing a classifier by rewriting its prediction rules

Mind Reader: Reconstructing complex images from brain activities

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

Identifying and Benchmarking Natural Out-of-Context Prediction Problems

Label-efficient Segmentation via Affinity Propagation

[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

From fat droplets to floating forests: cross-domain transfer learning
  using a PatchGAN-based segmentation model

CARD: Semantic Segmentation with Efficient Class-Aware Regularized
  Decoder


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

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Interaction


PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

Training data-efficient image transformers & distillation through attention

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Do Perceptually Aligned Gradients Imply Adversarial Robustness?

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal
  Attention, and Optimal Transport

Multipod Convolutional Network


Outlier detection related books and papers.

Isolation-Based Anomaly Detection

ACM transactions on knowledge discovery from data

Graph-based Anomaly Detection and Description: A Survey

A survey on unsupervised outlier detection in high‐dimensional numerical data

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

HiCS: High Contrast Subspaces for Density-Based Outlier Ranking

International Conference on Data Engineering

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

Isolation‐based anomaly detection using nearest‐neighbor ensembles

International Conference on Climate Informatics

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

Mining outlying aspects on numeric data

Improving iForest with Relative Mass

Pacific-Asia Conference on Knowledge Discovery and Data Mining


Scripts for SPM, FSL and AFNI used for investigating the validity of parametric statistics for multi-subject fMRI.

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates

Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI

Analysis of BOLD fMRI Signal Preprocessing Pipeline on Different Datasets while Reducing False Positive Rates

Correction


Toward Safer Autonomous Vehicles: Occlusion-Aware Trajectory Planning to Minimize Risky Behavior

IEEE open journal of intelligent transportation systems

Frenetix Motion Planner: High-Performance and Modular Trajectory
  Planning Algorithm for Complex Autonomous Driving Scenarios


MB-GMN, SIGIR 2021

Graph Meta Network for Multi-Behavior Recommendation

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

Compressed Interaction Graph based Framework for Multi-behavior Recommendation


Gral calculation core


Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

IEEE transactions on pattern analysis and machine intelligence

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

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

Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image
  Restoration

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging


AskUbuntu Question Dataset

Rationalizing Neural Predictions

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

End-to-End Retrieval in Continuous Space

MTEB: Massive Text Embedding Benchmark

Auto-MLM: Improved Contrastive Learning for Self-supervised
  Multi-lingual Knowledge Retrieval


Improving Variational Inference with Inverse Autoregressive Flow

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding


Mutual nearest neighbor graphs and data visualization for genomic population networks :octopus:

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Characterisation of the British honey bee metagenome

Autosomal and Mitochondrial Adaptation Following Admixture: A Case Study on the Honeybees of Reunion Island

Identification of key contributors in complex population structures


A curated list of tutorials, papers, software related to multi-view stereo.

Tanks and temples

Plan3D: Viewpoint and Trajectory Optimization for Aerial Multi-View Stereo Reconstruction

Offsite aerial path planning for efficient urban scene reconstruction


This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

Modelling the interplay of metaphor and emotion through multitask learning

Empirical Methods in Natural Language Processing

Readers vs. Writers vs. Texts: Coping with Different Perspectives of Text Understanding in Emotion Annotation

Adversarial Attention Modeling for Multi-dimensional Emotion Regression

Meeting of the Association for Computational Linguistics

Learning Word Ratings for Empathy and Distress from Document-Level User Responses

WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations

North American Chapter of the Association for Computational Linguistics

Dimensional Emotion Detection from Categorical Emotion

Computational Storytelling and Emotions: A Survey


Documentation for Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT)

Demystifying COVID-19 digital contact tracing: A survey on frameworks
  and mobile apps

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study

What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Mediated trust: A theoretical framework to address the trustworthiness of technological trust mediators

Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

International Conference on Data Technologies and Applications

Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications

Crowd management COVID-19

Privacy-preserving COVID-19 contact tracing using blockchain


Matlab and Python libraries for an unsupervised method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding

On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification


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


A fuzzy Bruijn graph approach to long noisy reads assembly

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Musa balbisiana genome reveals subgenome evolution and functional divergence

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

Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data

Chromosome-scale genome assembly of kiwifruit Actinidia eriantha with single-molecule sequencing and chromatin interaction mapping

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

The hard clam genome reveals massive expansion and diversification of inhibitors of apoptosis in Bivalvia

A chromosome-level draft genome of the grain aphid Sitobion miscanthi

An improved genome assembly of the fluke Schistosoma japonicum

De novo assembly of a new Olea europaea genome accession using nanopore sequencing


Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Horizontal Class Backdoor to Deep Learning


[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

Graph Self-Supervised Learning: A Survey

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

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

Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs

HeMI: Multi-view Embedding in Heterogeneous Graphs


Self-supervised learning through the eyes of a child

A Simple Framework for Contrastive Learning of Visual Representations

How much human-like visual experience do current self-supervised
  learning algorithms need in order to achieve human-level object recognition?


Matlab implementation of our works on online hashing

Supervised Online Hashing via Hadamard Codebook Learning

Towards Optimal Discrete Online Hashing with Balanced Similarity

Hadamard Matrix Guided Online Hashing


This is Pytorch Implementation of Google's Non-attentive Tacotron.

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

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables


Deep Reinforcement Learning for Continuous Control in PyTorch

Continuous control with deep reinforcement learning

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

Addressing Function Approximation Error in Actor-Critic Methods

Continuous Deep Q-Learning with Model-based Acceleration

GRAC: Self-Guided and Self-Regularized Actor-Critic

A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets


This is a repository of DQN and its variants implementation in PyTorch based on the original papar.

Playing Atari with Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay


FlexCFL: A clustered federated learning framework based on TF2.0.  Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.

Multi-center federated learning: clients clustering for better personalization

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering


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


BERT pre-training in Thai language

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

WangchanBERTa: Pretraining transformer-based Thai Language Models

Detecting Depression in Thai Blog Posts: a Dataset and a Baseline

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization

CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter

International Joint Conference on Natural Language Processing

Looking for COVID-19 misinformation in multilingual social media texts

MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion


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

Sound Source Distance Estimation in Diverse and Dynamic Acoustic Conditions

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

Zero- and Few-shot Sound Event Localization and Detection


Causality with machine learning, topic including causal represenation learning, causal reinforcement learning

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Bayesian Nonparametric Modeling for Causal Inference

Journal of computational and graphical statistics

Covariate balancing propensity score

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

Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions

causal-curve: A Python Causal Inference Package to Estimate Causal Dose-Response Curves


Use efficientdet - Python version to realize intelligent retail model training, provide data sets and trained model files ~ welcome star使用Efficientdet -pytorch版实现智能零售模型训练，提供数据集与训练好的模型文件~欢迎star

Feature Pyramid Networks for Object Detection

Path Aggregation Network for Instance Segmentation

Libra R-CNN: Towards Balanced Learning for Object Detection

M2Det: A Single-Shot Object Detector based on Multi-Level Feature
  Pyramid Network


A Generalized Web Component for Domain-Independent Smart Assistants

A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health

A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study


Forward and inverse problems in asteroseismology

FUNDAMENTAL PARAMETERS OF MAIN-SEQUENCE STARS IN AN INSTANT WITH MACHINE LEARNING

Stellar Parameters in an Instant with Machine Learning - Application to Kepler LEGACY Targets

Inverse Problems in Asteroseismology

Relevance of the small frequency separation for asteroseismic stellar age, mass, and radius. A statistical investigation for main-sequence low-mass stars


Estimate Permutation p-Values for Random Forest Importance Metrics

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

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

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

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


It contains a curated list of awesome RISC-V Resources.

Minimizing Computation in Convolutional Neural Networks

GhostRider

The Case for RISC-V in Space

RV-CNN: Flexible and Efficient Instruction Set for CNNs Based on RISC-V Processors


AUV position estimation with seabed acoustic sensing and DOA measurements (extended Kalman filter and conditionnaly minimax nonlinear filter)

Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations

On AUV Control with the Aid of Position Estimation Algorithms Based on Acoustic Seabed Sensing and DOA Measurements

AUV position estimation via acoustic seabed profile measurements

AUV navigation with seabed acoustic sensing

Mediterranean Conference on Control and Automation


Deep Residual Learning for Image Recognition

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Identity Mappings in Deep Residual Networks

An overview of gradient descent optimization algorithms

Вестник компьютерных и информационных технологий


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

Effective Approaches to Attention-based Neural Machine Translation

RobustFill: Neural Program Learning under Noisy I/O

Learning Fitness Functions for Machine Programming

Learning to Combine Per-Example Solutions for Neural Program Synthesis


MementoML: Performance of selected machine learning algorithm
  configurations on OpenML100 datasets

Consolidated learning -- a domain-specific model-free optimization
  strategy with examples for XGBoost and MIMIC-IV

Adapting Pretrained Language Models for Solving Tabular Prediction
  Problems in the Electronic Health Record


bert with customized features

Attention Is All You Need

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

Semi-supervised Sequence Learning


Co-embedding Attributed Networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

PANE: scalable and effective attributed network embedding

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method


Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)

Focal Loss for Dense Object Detection

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

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning

Journal of King Saud University: Computer and Information Sciences


[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

The State of Sparsity in Deep Neural Networks

Rigging the Lottery: Making All Tickets Winners

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

PDP: Parameter-free Differentiable Pruning is All You Need

Adaptive Sparsity Level during Training for Efficient Time Series
  Forecasting with Transformers


[CVPRW23] Implementation of ''FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation''

FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens

Beyond the Field-of-View: Enhancing Scene Visibility and Perception with
  Clip-Recurrent Transformer


Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Graph Self-Supervised Learning: A Survey

Data Augmentation on Graphs: A Technical Survey

Towards Explanation for Unsupervised Graph-Level Representation Learning


A set of scripts and functions for analyzing MeDIP-seq datasets

Assessment of Glyphosate Induced Epigenetic Transgenerational Inheritance of Pathologies and Sperm Epimutations: Generational Toxicology

Vinclozolin induced epigenetic transgenerational inheritance of pathologies and sperm epimutation biomarkers for specific diseases

Sperm epimutation biomarkers of obesity and pathologies following DDT induced epigenetic transgenerational inheritance of disease

Genome-wide CpG density and DNA methylation analysis method (MeDIP, RRBS, and WGBS) comparisons

Epigenetic inheritance of DNA methylation changes in fish living in hydrogen sulfide–rich springs

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

Epigenetic transgenerational inheritance of testis pathology and Sertoli cell epimutations: generational origins of male infertility

Epigenome-wide association study for glyphosate induced transgenerational sperm DNA methylation and histone retention epigenetic biomarkers for disease

Epigenome-wide association study for pesticide (Permethrin and DEET) induced DNA methylation epimutation biomarkers for specific transgenerational disease

Environmental health : a global access science source

Epigenome-wide association study for atrazine induced transgenerational DNA methylation and histone retention sperm epigenetic biomarkers for disease

Epigenome-wide association study (EWAS) for potential transgenerational disease epigenetic biomarkers in sperm following ancestral exposure to the pesticide methoxychlor


Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh

Fundamentally Understanding and Solving RowHammer

Proceedings of the 28th Asia and South Pacific Design Automation Conference

Don't Knock! Rowhammer at the Backdoor of DNN Models

X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands


A toolkit for LAMOST spectra.

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

LAMOST Time-Domain Survey: First Results of four K2 plates

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters

Exploring the Stellar Rotation of Early-type Stars in the LAMOST Medium-resolution Survey. I. Catalog

Discovery of 2716 hot emission-line stars from LAMOST DR5

Identification of New Classical Be Stars from the LAMOST Medium Resolution Survey

hypergravity/laspec: A toolkit for LAMOST spectra.


[ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.

Adversarial Robustness Against the Union of Multiple Perturbation Models

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Adversarial Attack Generation Empowered by Min-Max Optimization

Optimization for Robustness Evaluation beyond ℓ_p Metrics

Adversarial Robustness Against the Union of Multiple Threat Models

International Conference on Machine Learning

Optimization and Optimizers for Adversarial Robustness


A permutation test (aka randomization test) for MATLAB.

Quality of corn seed industrial seed treatment (IST) and on-farm treatment (OFT) in Brazilian agribusiness

Catching a Liar Through Facial Expression of Fear

Endocytic trafficking determines cellular tolerance of presynaptic opioid signaling

A critical role for CaMKII in behavioral timescale synaptic plasticity in hippocampal CA1 pyramidal neurons

Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring

Is there evidence for a noisy computation deficit in developmental dyslexia?

Weather Patterns Associated with DON Levels in Norwegian Spring Oat Grain: A Functional Data Approach


Optimization with orthogonal constraints and on general manifolds

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

Trivializations for Gradient-Based Optimization on Manifolds

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

MomentumRNN: Integrating Momentum into Recurrent Neural Networks

projUNN: efficient method for training deep networks with unitary
  matrices

What if Neural Networks had SVDs?

How does momentum benefit deep neural networks architecture design? A few case studies

Coordinate descent on the orthogonal group for recurrent neural network
  training

Geometric Optimisation on Manifolds with Applications to Deep Learning

Path Development Network with Finite-dimensional Lie Group
  Representation


AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

Neural Graph Embedding Methods for Natural Language Processing

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs


MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction

MOLI: multi-omics late integration with deep neural networks for drug response prediction

Machine learning for multi-omics data integration in cancer

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level


NEMO: cancer subtyping by integration of partial multi-omic data

Evaluation and comparison of multi-omics data integration methods for cancer subtyping

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review

SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis


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

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

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

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

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

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

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

Complete Genome Sequence of Lactobacillus crispatus Type Strain ATCC 33820

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

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

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


A Matlab package for Bayes Factor statistical analysis

Stimulus-induced gamma rhythms are weaker in human elderly with mild cognitive impairment and Alzheimer’s disease

Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports

Resolution of impaired multisensory processing in autism and the cost of switching sensory modality

Interhemispheric symmetry of µ-rhythm phase-dependency of corticospinal excitability

Concurrent visual working memory bias in sequential integration of approximate number

Anterior cingulate and medial prefrontal cortex oscillations underlie learning alterations in trait anxiety in humans

Post-encoding reactivation promotes one-shot learning of episodes in humans

Inhibitory temporo-parietal effective connectivity is associated with explicit memory performance in older adults

Unreliable feedback deteriorates information processing in primary visual cortex


Source for paper "Attacking Binarized Neural Networks"

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Attacking Binarized Neural Networks


Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

On Inductive Biases for Heterogeneous Treatment Effect Estimation

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects
  Estimation

Experimental Standards for Deep Learning in Natural Language Processing Research

Benchmarking Heterogeneous Treatment Effect Models through the Lens of
  Interpretability

Adversarial De-confounding in Individualised Treatment Effects
  Estimation

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation

A Survey of Deep Causal Models and Their Industrial Applications


Deep InfraRed image processing framework

Thermal Image Processing via Physics-Inspired Deep Networks

Estimating temperatures with low-cost infrared cameras using deep neural networks


a deep-learning-based framework for studying m6A

DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning

Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning

International journal of molecular sciences

Analysis approaches for the identification and prediction of N6-methyladenosine sites

Advances in the protein‑encoding functions of circular RNAs associated with cancer (Review)


Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"

Gaussian Differential Privacy

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning
  with Client Momentum


Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

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

Recursive Neural Networks in Quark/Gluon Tagging

End-to-end jet classification of quarks and gluons with the CMS Open Data

Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider


PadChest: A large chest x-ray image dataset with multi-label annotated reports

AI can evolve without labels: self-evolving vision transformer for chest
  X-ray diagnosis through knowledge distillation

Deep learning for understanding multilabel imbalanced Chest X-ray datasets


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

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Diverse Image Synthesis from Semantic Layouts via Conditional IMLE

Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation


RECOD Titans participation at the ISBI 2017 challenge - Part 3

Knowledge Transfer for Melanoma Screening with Deep Learning

International Symposium on Biomedical Imaging

RECOD Titans at ISIC Challenge 2017

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results.

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening


Codebase for Indic-Transliteration using Seq2Seq RNN. For latest repo with Transformer-based models, check: https://github.com/AI4Bharat/IndicXlit

Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling.

IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment
  analysis of code-mixed text in Dravidian languages


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


Art to Image Style Transfer using Keras and Tensorflow.

Very Deep Convolutional Networks for Large-Scale Image Recognition

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

A Neural Algorithm of Artistic Style

Incorporating long-range consistency in CNN-based texture generation


DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction

Geometric Representation Learning for Document Image Rectification


Demo code for the paper STC2 which released three short text datasets for clustering and classification

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Short Text Clustering via Convolutional Neural Networks

North American Chapter of the Association for Computational Linguistics

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing
  Short Text Classification

Short Text Embedding Autoencoders With Attention-Based Neighborhood Preservation


codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

Online Planning in POMDPs with Self-Improving Simulators

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Learning to Solve Routing Problems via Distributionally Robust Optimization

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

RL4CO: a Unified Reinforcement Learning for Combinatorial Optimization
  Library

Continuation Path Learning for Homotopy Optimization


Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"

Variational image compression with a scale hyperprior

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

An End-to-End Joint Learning Scheme of Image Compression and Quality
  Enhancement with Improved Entropy Minimization

Selective compression learning of latent representations for
  variable-rate image compression


Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples

Teach me how to Interpolate a Myriad of Embeddings


BioELMo is a biomedical version of embeddings from language model (ELMo), pre-trained on PubMed abstracts.

Probing Biomedical Embeddings from Language Models

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

Improving Medical NLI Using Context-Aware Domain Knowledge

Joint Conference on Lexical and Computational Semantics


The official implementation of Self-aware Object Detection [CVPR 2023]

Bounding Box Regression with Uncertainty for Accurate Object Detection

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks.

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration


Visualizing representations with diffusion based conditional generative model.

Diffusion Models Beat GANs on Image Synthesis

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

The Hidden Uniform Cluster Prior in Self-Supervised Learning


Sloika is Oxford Nanopore Technologies' software for training neural network models for base calling

Performance of neural network basecalling tools for Oxford Nanopore sequencing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations


Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Revisiting Deep Learning Models for Tabular Data

Well-tuned Simple Nets Excel on Tabular Datasets

Attention augmented differentiable forest for tabular data

Deep differentiable forest with sparse attention for the tabular data

Dive into Decision Trees and Forests: A Theoretical Demonstration

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science

NCART: Neural Classification and Regression Tree for Tabular Data


Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms', ECIR'18

Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study.

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

Generalisation of Cyberbullying Detection

The Use of a Large Language Model for Cyberbullying Detection


Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

Continuous control with deep reinforcement learning

Hindsight Experience Replay

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Detecting AutoAttack Perturbations in the Frequency Domain


A Simulated Optimal Intrusion Response Game

Learning Intrusion Prevention Policies through Optimal Stopping

Intrusion Prevention Through Optimal Stopping

Learning Security Strategies through Game Play and Optimal Stopping

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers


[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

Vision-aided UAV Navigation and Dynamic Obstacle Avoidance using Gradient-based B-spline Trajectory Optimization

A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera


An implementation of the Goodman & Weare MCMC sampler for matlab

Tracing the stellar component of low surface brightness Milky Way dwarf galaxies to their outskirts

In Situ Determination of Droplet and Nanoparticle Size Distributions in Spray Flame Synthesis by Wide-Angle Light Scattering (WALS)

Variable stars in Local Group galaxies - V. The fast and early evolution of the low-mass Eridanus II dSph galaxy

Monthly notices of the Royal Astronomical Society

Revisiting the luminosity and redshift distributions of long gamma-ray bursts

Probabilistic Inversions for Time-Distance Helioseismology

The Stellar-mass Function of Long Gamma-Ray Burst Host Galaxies

Constraining Cosmological Parameters using the Cluster Mass-Richness
  Relation

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo


Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]

Deep Group-shuffling Random Walk for Person Re-identification

End-to-End Deep Kronecker-Product Matching for Person Re-identification

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk

IEEE transactions on pattern analysis and machine intelligence


Code for "Bilingual Lexicon Induction with Semi-supervisionin Non-Isometric Embedding Spaces", ACL 2019

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space

The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.


Multiclass classification based on stochastic dual coordinate ascent

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Loss Functions for Top-k Error: Analysis and Insights

Top-k Multiclass SVM


Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Attention Is All You Need

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Self-Attention with Relative Position Representations

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Is Space-Time Attention All You Need for Video Understanding?

Linformer: Self-Attention with Linear Complexity

Stand-Alone Self-Attention in Vision Models

UNETR: Transformers for 3D Medical Image Segmentation

Bottleneck Transformers for Visual Recognition

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation


This repo provides code and data used in our TANDA paper.

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

Early Exiting BERT for Efficient Document Ranking

Empirical Methods in Natural Language Processing

The Cascade Transformer: an Application for Efficient Answer Sentence Selection

Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

Paragraph-based Transformer Pre-training for Multi-Sentence Inference

Question-Answer Sentence Graph for Joint Modeling Answer Selection


Multilingual abstractive summarization dataset extracted from WikiHow.

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

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

Towards Zero-Shot Functional Compositionality of Language Models


NMF Code for calculating components from Brain imaging data.

An exact penalty approach for optimization with nonnegative orthogonality constraints

Investigating structural subdivisions of the anterior cingulate cortex in schizophrenia, with implications for treatment resistance and glutamatergic levels

Journal of psychiatry & neuroscience : JPN

Age‐dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury

Mapping the macrostructure and microstructure of the in vivo human hippocampus using diffusion MRI

Development of white matter fiber covariance networks supports executive function in youth

bioRxiv : the preprint server for biology


Dataset & Code for Com2Sense Benchmark

SemEval-2020 Task 4: Commonsense Validation and Explanation

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback


Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC,  the decentralised micromanagement scenario of StarCraft II

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

The StarCraft Multi-Agent Challenge

MAVEN: Multi-Agent Variational Exploration

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning
  Library

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via
  Mixing Recurrent Soft Decision Trees


VGG16 models for CIFAR-10 and CIFAR-100 using Keras

Do ImageNet Classifiers Generalize to ImageNet?

To Trust Or Not To Trust A Classifier

On The Power of Curriculum Learning in Training Deep Networks

Verified Uncertainty Calibration

Are Generative Classifiers More Robust to Adversarial Attacks?

When Do Curricula Work?

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Overinterpretation reveals image classification model pathologies

Deep Neural Network Ensembles

On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation.


EvaluationToolBox for Camouflaged Object Detection Task

Camouflaged Object Detection

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Boundary-Aware Segmentation Network for Mobile and Web Applications

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing

MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection


[TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism

The use of deep learning in interventional radiotherapy (brachytherapy):
  a review with a focus on open source and open data


ImageNet-R(endition) and DeepAugment (ICCV 2021)

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

Masked Siamese Networks for Label-Efficient Learning

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation.

If your data distribution shifts, use self-learning

Dream the Impossible: Outlier Imagination with Diffusion Models

On the Strong Correlation Between Model Invariance and Generalization

Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric
  Perspective

Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation


Source-Free Domain Adaptation

Common Limitations of Image Processing Metrics: A Picture Story

Source-Relaxed Domain Adaptation for Image Segmentation

Medical Image Computing and Computer-Assisted Intervention

Source-Free Domain Adaptation for Image Segmentation


Fast Multipole Method (FMM) library in R^2

A fast integral equation method for the two-dimensional Navier-Stokes equations

Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects

Conformal Mapping via a Density Correspondence for the Double-Layer Potential

Simulation of Multiscale Hydrophobic Lipid Dynamics via Efficient Integral Equation Methods

Spectrally accurate solutions to inhomogeneous elliptic PDE in smooth geometries using function intension

An FMM Accelerated Poisson Solver for Complicated Geometries in the
  Plane using Function Extension


This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.

Lipschitz Generative Adversarial Nets

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs


A Tensorflow implementation of the paper arXiv:1604.03539

Cross-stitch Networks for Multi-task Learning

Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task


Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

Are Multilingual Models Effective in Code-Switching?

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Multilingual transfer learning for code-switched language and speech neural modeling


Pulsar searching

The MPIfR-MeerKAT Galactic Plane survey I -- System setup and early
  results

MeerKAT discovery of 13 new pulsars in Omega Centauri

Monthly Notices of the Royal Astronomical Society

The TRAPUM L-band survey for pulsars in Fermi-LAT gamma-ray sources

The MPIfR-MeerKAT Galactic Plane Survey II. The eccentric double neutron
  star system PSR J1208-5936 and a neutron star merger rate update

TRAPUM upper limits on pulsed radio emission for SMC X-ray pulsar J0058−7218

MeerKAT caught a Mini Mouse: serendipitous detection of a young radio pulsar escaping its birth site

PulsarX: a new pulsar searching package -I. A high performance folding
  program for pulsar surveys


Progress towards global asset localisation using remote sensing and computer vision, beginning with solar PV.

U-Net: Convolutional Networks for Biomedical Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Road Extraction by Deep Residual U-Net

IEEE geoscience and remote sensing letters

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation


TuRnIng POint Dataset

Movie Plot Analysis via Turning Point Identification

Screenplay Summarization Using Latent Narrative Structure

Movie Summarization via Sparse Graph Construction

Film Trailer Generation via Task Decomposition


The Open Lab Book: A collection of freely distributable scientific protocols

Dissection of Root Transcriptional Responses to Low pH, Aluminum Toxicity and Iron Excess Under Pi-Limiting Conditions in Arabidopsis Wild-Type and stop1 Seedlings

ROOT PENETRATION INDEX 3, a major quantitative trait locus (QTL) associated with root system penetrability in Arabidopsis

A transition phase in late mouse oogenesis impacts DNA methylation of the early embryo


Quantum algorithms for the simulation of Hamiltonian dynamics.

Toward the first quantum simulation with quantum speedup

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

Practical Quantum Computing: Solving the Wave Equation Using a Quantum Approach

Empirical determination of the simulation capacity of a near-term
  quantum computer


Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020

Fast Underwater Image Enhancement for Improved Visual Perception

A Generative Approach for Detection-driven Underwater Image Enhancement

DGD-cGAN: A Dual Generator for Image Dewatering and Restoration


Hate speech dataset from Stormfront forum manually labelled at sentence level.

Hate Speech Dataset from a White Supremacy Forum

Deep Learning Models for Multilingual Hate Speech Detection

A Holistic Approach to Undesired Content Detection in the Real World

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome
  Homogenization?

Refining Language Models with Compositional Explanations

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Change Point Detection in Terrorism-Related Online Content Using Deep Learning Derived Indicators

Generalisation of Cyberbullying Detection

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces

Conference of the European Chapter of the Association for Computational Linguistics

Fairness for Text Classification Tasks with Identity Information Data
  Augmentation Methods


Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

How to Fine-Tune BERT for Text Classification?

Attention is not Explanation

To Tune or Not To Tune? How About the Best of Both Worlds?


Rainfall Rescue


Official Git repository of R package netmeta

CINeMA: An approach for assessing confidence in the results of a network meta-analysis

Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis

The Comparative Efficacy of Chlorhexidine Gluconate and Povidone-iodine Antiseptics for the Prevention of Infection in Clean Surgery

A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials Evaluating the Evidence Base of Melatonin, Light Exposure, Exercise, and Complementary and Alternative Medicine for Patients with Insomnia Disorder

Safety and Outcomes of Different Surgical Techniques for Cubital Tunnel Decompression

The Effect of Non-Nutritive Sweetened Beverages on Postprandial Glycemic and Endocrine Responses: A Systematic Review and Network Meta-Analysis

Comparative Efficacy of Pharmacological and Nonpharmacological Interventions for Acne Vulgaris: A Network Meta-Analysis

Medications for the treatment of pulmonary arterial hypertension: a systematic review and network meta-analysis

European respiratory review : an official journal of the European Respiratory Society

Network meta-analysis and random walks

The maximum phonation time as marker for voice treatment efficacy: A network meta‐analysis

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery


On Tiny Episodic Memories in Continual Learning

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal


Combining Evolutionary Algorithms and deep RL in  various ways

Evolution-Guided Policy Gradient in Reinforcement Learning

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Population-Guided Parallel Policy Search for Reinforcement Learning

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies.

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared
  State Representation and Individual Policy Representation

Cooperative Heterogeneous Deep Reinforcement Learning


Multilingual automatic text summarizer using statistical approach and extraction

AllSummarizer system at MultiLing 2015: Multilingual single and multi-document summarization

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Automatic text summarization: What has been done and what has to be done

Computational Intelligence and Its Applications

IFIP advances in information and communication technology

Using clustering and a modified classification algorithm for automatic text summarization

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Exploring Graph Bushy Paths to Improve Statistical Multilingual Automatic Text Summarization


Python Package for Modelling Dust Evolution in Protoplanetary Disks.

DustPy: A Python Package for Dust Evolution in Protoplanetary Disks

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

First steps of planet formation around very low mass stars and brown dwarfs

The impact of dynamic pressure bumps on the observational properties of
  protoplanetary disks

The impact of dust evolution on the dead zone outer edge in magnetized protoplanetary disks


This blog post visualize vector norms of FastText embedding and evaluates use of FastText word vector norm multiplied with number of word n-grams for detecting non-english OOV words.

Enriching Word Vectors with Subword Information

Measuring Word Significance using Distributed Representations of Words

Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors


BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts

Global radiation in a rare biosphere soil diatom

Incorporating Topological and Age Uncertainty into Event-Based Biogeography of Sand Spiders Supports Paleo-Islands in Galapagos and Ancient Connections among Neotropical Dry Forests

Evolutionary Relationships and Range Evolution of Greenhood Orchids (Subtribe Pterostylidinae): Insights From Plastid Phylogenomics

Phylotranscriptomics Shed Light on Intrageneric Relationships and Historical Biogeography of Ceratozamia (Cycadales)

Repeatedly Northwards and Upwards: Southern African Grasslands Fuel the Colonization of the African Sky Islands in Helichrysum (Compositae)


Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)

CentralNet: a Multilayer Approach for Multimodal Fusion

Multimodality in Meta-Learning: A Comprehensive Survey

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling


Implementation of the conceptual spaces framework.

A Thorough Formalization of Conceptual Spaces

A Comprehensive Implementation of Conceptual Spaces

Formalized Conceptual Spaces with a Geometric Representation of Correlations

Formal ways for measuring relations between concepts in conceptual spaces†


Repository for OVANet

OVANet: One-vs-All Network for Universal Domain Adaptation

Subsidiary Prototype Alignment for Universal Domain Adaptation

Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation


A Task-based Library for Solving Dense Nonsymmetric Eigenvalue Problems

Introduction to StarNEig—A Task-Based Library for Solving Nonsymmetric Eigenvalue Problems

Parallel Processing and Applied Mathematics

Task‐based, GPU‐accelerated and robust library for solving dense nonsymmetric eigenvalue problems

Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils

Algorithm 1019: A Task-based Multi-shift QR/QZ Algorithm with Aggressive Early Deflation


Java-Based Context-aware Recommendation Library

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison

Graph Neural Network for Context-Aware Recommendation

Neural processing letters/Neural Processing Letters

A User's Guide to CARSKit

Interpreting Contextual Effects By Contextual Modeling In Recommender
  Systems

Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction


TVsub: DCU-Tencent Chinese-English Dialogue Corpus

Learning to Remember Translation History with a Continuous Cache

Translating Pro-Drop Languages with Reconstruction Models

Autocorrect in the Process of Translation — Multi-task Learning Improves Dialogue Machine Translation

Corpora for Document-Level Neural Machine Translation

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

Recent Advances in Dialogue Machine Translation

A Survey on Zero Pronoun Translation

GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation

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


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

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

Personalized Federated Learning with First Order Model Optimization

Architectural Patterns for the Design of Federated Learning Systems

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

FLRA: A Reference Architecture for Federated Learning Systems

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment


NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Interpretable Distribution Features with Maximum Testing Power

On the Use of Random Forest for Two-Sample Testing

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations

Two-sample Test with Kernel Projected Wasserstein Distance

Comparing distributions: ℓ_1 geometry improves kernel two-sample testing

A Fast and Effective Large-Scale Two-Sample Test Based on Kernels


A tool for single-cell data analysis.

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

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

Deep Learning in Single-Cell Analysis


Code for "Just Train Twice: Improving Group Robustness without Training Group Information"

Mitigating Dataset Bias by Using Per-sample Gradient

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

Sufficient Invariant Learning for Distribution Shift

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


WaveNet: A Generative Model for Raw Audio

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning


This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 2019).

Adversarially Regularized Autoencoders

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation


Prepare XML input files for divergence-time estimation with SNAPP

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Bayesian Divergence-Time Estimation with Genome-Wide Single-Nucleotide Polymorphism Data of Sea Catfishes (Ariidae) Supports Miocene Closure of the Panamanian Isthmus

Population Structure Limits Parallel Evolution in Sticklebacks

Estimating uncertainty in divergence times among three-spined stickleback clades using the multispecies coalescent

Phylogenomic Assessment of Biodiversity Using a Reference-Based Taxonomy: An Example With Horned Lizards (Phrynosoma)

Between a Rock and a Hard Polytomy: Phylogenomics of the Rock-Dwelling Mbuna Cichlids of Lake Malaŵi

Bayesian divergence-time estimation with genome-wide SNP data of sea catfishes (Ariidae) supports Miocene closure of the Panamanian Isthmus

The evolutionary history and mechanistic basis of female ornamentation in a tropical songbird

Evolution; international journal of organic evolution

Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)

Evidence for a single, ancient origin of a genus-wide alternative life history strategy


This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Reenvisioning Collaborative Filtering vs Matrix Factorization

Improving accountability in recommender systems research through reproducibility

ContentWise Impressions: An Industrial Dataset with Impressions Included

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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

On the Generalizability and Predictability of Recommender Systems


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


Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Deep k-Means: Jointly clustering with k-Means and learning representations

Seed-Guided Deep Document Clustering


Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)

Conference on Computer and Communications Security

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights

Advances in Geographic Information Systems

A Survey of Machine Unlearning

Graph Unlearning

How to Combine Membership-Inference Attacks on Multiple Updated Models


The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

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

Universal Text Representation from BERT: An Empirical Study

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction

Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts

Meeting of the Association for Computational Linguistics

Bend but Don’t Break? Multi-Challenge Stress Test for QA Models

Empirical Methods in Natural Language Processing

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks


Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation


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


A collection of GNN-based fake news detection models.

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Fake News Detection on Social Media using Geometric Deep Learning

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

User Preference-aware Fake News Detection

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media


Implementation of a Conditional Variational Auto-Encoder GAN in pytorch

Conditional Image Synthesis With Auxiliary Classifier GANs

Autoencoding beyond pixels using a learned similarity metric

CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

Twin Auxiliary Classifiers GAN


PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

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

International journal of computer vision

Adversarial Framing for Image and Video Classification

Focus! Rating XAI Methods and Finding Biases

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability


Implementation of the Convolutional Conditional Neural Process

GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data


The official Tensorflow implementation for ICCV'19 paper 'Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints'

Leveraging Frequency Analysis for Deep Fake Image Recognition

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation


Exploiting raw images for real-scene super-resolution, TPAMI 2021

Towards Real Scene Super-Resolution with Raw Images

Exploiting Raw Images for Real-Scene Super-Resolution


Bayesian pRF toolbox for SPM

Bayesian population receptive field modelling

The organizational principles of de-differentiated topographic maps in somatosensory cortex

Population Receptive Field Characteristics in the between- and Within-Digit Dimensions of the Undominant Hand in the Primary Somatosensory Cortex

The 3D Structural Architecture of the Human Hand Area Is Nontopographic

The journal of neuroscience/The Journal of neuroscience


Single View Geocentric Pose

Learning Geocentric Object Pose in Oblique Monocular Images

THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Single View Geocentric Pose in the Wild

Disentangled Latent Transformer for Interpretable Monocular Height
  Estimation


Official PyTorch implementation of the “Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation” (ICCV 2021)

Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations


SLSpy provides a Python-based framework to design and simulate model-based control systems, especially for system level synthesis (SLS) methods.

SLSpy: Python-Based System-Level Controller Synthesis Framework

System Level Synthesis via Dynamic Programming


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

Dynamic Network Embedding Survey

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


The source code of  our ACL2019 paper "Incremental Transformer with Deliberation Decoder for Document Grounded Conversations "

OpenNMT: Open-Source Toolkit for Neural Machine Translation

A Dataset for Document Grounded Conversations

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

Low-Resource Knowledge-Grounded Dialogue Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

Knowledge-Grounded Chatbot Based on Dual Wasserstein Generative Adversarial Networks with Effective Attention Mechanisms

Contextual Knowledge Learning For Dialogue Generation


Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440

Regularization Learning Networks: Deep Learning for Tabular Datasets

DeepTLF: robust deep neural networks for heterogeneous tabular data

International journal of data science and analytics

NCART: Neural Classification and Regression Tree for Tabular Data


Deformable Style Transfer (ECCV 2020)

Style Transfer by Relaxed Optimal Transport and Self-Similarity

WarpGAN: Automatic Caricature Generation

Neural Best-Buddies: Sparse Cross-Domain Correspondence

Deformable Style Transfer


Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

GraphText: Graph Reasoning in Text Space

Can LLMs Effectively Leverage Graph Structural Information: When and Why

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning


Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"

The Hidden Vulnerability of Distributed Learning in Byzantium

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

ScionFL: Efficient and Robust Secure Quantized Aggregation


Pipeline for generate Ks plots of transcriptome data.

A chromosome-scale genome sequence of pitaya (Hylocereus undatus) provides novel insights into the genome evolution and regulation of betalain biosynthesis

Phylogeny and Multiple Independent Whole-Genome Duplication Events in the Brassicales

Retrotransposon Proliferation Coincident with the Evolution of Dioecy in Asparagus

Chromosome-level genome assembly of bunching onion illuminates genome evolution and flavor formation in Allium crops

Genome Sequencing of Pleurozium schreberi: The Assembled and Annotated Draft Genome of a Pleurocarpous Feather Moss


This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

Disentangled High Quality Salient Object Detection

Pyramidal Attention for Saliency Detection

Densely Deformable Efficient Salient Object Detection Network


DEFMap: Dynamics Extraction From cryo-em Map

Extraction of protein dynamics information from cryo-EM maps using deep learning

Deep Learning-Based Advances in Protein Structure Prediction

International journal of molecular sciences

Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulations


A learning curve benchmark on OpenML data

Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Explaining Hyperparameter Optimization via Partial Dependence Plots

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Scaling Laws for Hyperparameter Optimization


:dart: Human transcription factor target genes from 6 databases in convenient R format.

miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase

Contributions of HOX genes to cancer hallmarks: Enrichment pathway analysis and review

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine

Multi-Omic Regulation of the PAM50 Gene Signature in Breast Cancer Molecular Subtypes

Machine Learning Identifies Robust Matrisome Markers and Regulatory Mechanisms in Cancer

Age and Sex-Related Changes in Human First-Trimester Placenta Transcriptome and Insights into Adaptative Responses to Increased Oxygen

An Information Theoretical Multilayer Network Approach to Breast Cancer Transcriptional Regulation

An Integrative Multi-Omics Analysis of The Molecular Links between Aging and Aggressiveness in Thyroid Cancers

Alterations in oligodendrocyte transcriptional networks reveal region-specific vulnerabilities to neurological disease


inferring RBP binding sites and motifs using local and global CNNs

Densely Connected Convolutional Networks

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

Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type

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


Masks recombinant regions in an alignment based on ClonalFrameML output

Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Whole-genome sequencing reveals transmission of gonococcal antibiotic resistance among men who have sex with men: an observational study

The changing landscape of vancomycin-resistant Enterococcus faecium in Australia: a population-level genomic study

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

Towards a common vocabulary for describing the accuracy of computational electromagnetics models and comparisons with measurements

Using Genomics To Investigate an Outbreak of Vancomycin-Resistant Enterococcus faecium ST78 at a Large Tertiary Hospital in Queensland


Marine debris detection with commercial satellite imagery and deep learning.