Arnold - DOOM Agent

Deep Reinforcement Learning: An Overview

Playing FPS Games with Deep Reinforcement Learning

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning


C++ compiler for heterogeneous quantum-classical computing built on Clang and XACC

A MLIR Dialect for Quantum Assembly Languages

Enabling Retargetable Optimizing Compilers for Quantum Accelerators via
  a Multi-Level Intermediate Representation


ANDES has been transferred to the CURENT organization account. Please post questions to https://github.com/curent/andes. Maintenance and development will continue. Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis

Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis

Tools for modelling and simulating the Smart Grid.

Hybrid Symbolic-Numeric Library for Power System Modeling and Analysis


Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents


dancetrack 比赛第二名

Simple online and realtime tracking

International Conference on Information Photonics

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Multiple Object Tracking Challenge Technical Report for Team MT_IoT


A presentation on Augmented CycleGAN and the papers that lead up to it

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

Conditional Generative Adversarial Nets

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data

Entropic Neural Optimal Transport via Diffusion Processes


A Gentle Introduction to Deep Learning for Graphs

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

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark

Bayesian Deep Learning for Graphs

The International journal of applied philosophy/International journal of applied philosophy


A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipman https://openreview.net/forum?id=Syx72jC9tm. The official TensorFlow implementation is at https://github.com/Haggaim/InvariantGraphNetworks.

Covariant Compositional Networks For Learning Graphs

Predicting molecular properties with covariant compositional networks.

The general theory of permutation equivarant neural networks and higher order graph variational encoders


Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"

ZARA: Improving Few-Shot Self-Rationalization for Small Language Models

Explanation-aware Soft Ensemble Empowers Large Language Model In-context
  Learning


Keeping track of what is going on with the latest DiD innovations.

Two-way fixed effects estimators with heterogeneous treatment effects

Synthetic Difference in Differences

Pre-Event Trends in the Panel Event-Study Design

Identification based on Difference-in-Differences Approaches with Multiple Treatments


Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval

Evaluating Fairness in Argument Retrieval

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

Offline Retrieval Evaluation Without Evaluation Metrics

Correlation and Prediction of Evaluation Metrics in Information Retrieval.

ON THE USEFULNESS OF HTML META ELEMENTS FOR WEB RETRIEVAL

Eskişehir technical university journal of science and technology a- applied sciences and engineering


Official PyTorch implementation of "Robust Deep Learning from Crowds with Belief Propagation"

Deep learning from crowds

Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion


Framework for training and evaluating self-supervised learning methods for speaker verification.

Representation Learning with Contrastive Predictive Coding

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Delving into VoxCeleb: environment invariant speaker recognition

Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning


Attention Is All You Need

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

Semi-supervised Sequence Learning


[ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models


Unsupervised parsing and noun phrase identification

Unsupervised Grammar Induction with Depth-bounded PCFG

Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

International Conference on Computational Logic


Code for doubly stochastic gradients

Scalable Kernel Methods via Doubly Stochastic Gradients

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients


Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning


Superpixel Hierarchy

Superpixel Segmentation Using Dynamic and Iterative Spanning Forest

Efficient Multiscale Object-based Superpixel Framework


Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Conditional entropy minimization principle for learning domain invariant representation features

Which Invariance Should We Transfer? A Causal Minimax Learning Approach

Counterfactual Supervision-based Information Bottleneck for
  Out-of-Distribution Generalization


[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment


Simulation and Neuroscience Application Platform

Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving

Benefits of Instructed Responding in Manual Assembly Tasks: An ERP Approach

Hybrid brain-computer interface with motor imagery and error-related brain activity

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB

Spectrally Adaptive Common Spatial Patterns


Robust Point Matching via Vector Field Consensus / Regularized Vector Field Learning with Sparse Approximation for Mismatch Removal

Spherically Optimized RANSAC Aided by an IMU for Fisheye Image Matching

A Novel and Effective Cooperative RANSAC Image Matching Method Using Geometry Histogram-Based Constructed Reduced Correspondence Set

A Geometrical-Information-Assisted Approach for Local Feature Matching


Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Double Check Your State Before Trusting It: Confidence-Aware
  Bidirectional Offline Model-Based Imagination

State Advantage Weighting for Offline RL

Robust Offline Reinforcement Learning with Gradient Penalty and
  Constraint Relaxation


PyTorch implementation of NICE

NICE: Non-linear Independent Components Estimation

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows


GCE (genomic charactor estimator) is a bayes model based method to estimate the  genome size, genomic repeat content and the heterozygsis rate of the sequencing sample. The estimated result  can be used to design the sequencing strategy.

Estimation of genomic characteristics by analyzing k-mer frequency in de novo genome projects

Inferring microbiota functions from taxonomic genes: a review

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Chromosome-Level Genome Assembly Provides New Insights into Genome Evolution and Tuberous Root Formation of Potentilla anserina

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

A chromosome-level reference genome of a Convolvulaceae species Ipomoea cairica

Chromosome-level genomes of seeded and seedless date plum based on third-generation DNA sequencing and Hi-C analysis

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

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

The first high-quality chromosome-level genome of Eretmochelys imbricata using HiFi and Hi-C data


Tackling Climate Change with Machine Learning

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network


" Weight Uncertainty in Neural Networks"

Weight Uncertainty in Neural Networks

Variational Dropout and the Local Reparameterization Trick

Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks


e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

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

AlignVE: Visual Entailment Recognition Based on Alignment Relations


Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019

Zero-shot Node Classification with Decomposed Graph Prototype Network

Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning


Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

A Survey of Machine Unlearning

Efficiently Forgetting What You Have Learned in Graph Representation
  Learning via Projection


Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.

Cartesian K-Means

Stacked Quantizers for Compositional Vector Compression

Scalable Image Retrieval by Sparse Product Quantization


CURL: Contrastive Unsupervised Representations for Reinforcement Learning

When to use parametric models in reinforcement learning?

Masked Contrastive Representation Learning for Reinforcement Learning

Learning Representations for Pixel-based Control: What Matters and Why?

Learning State Representations from Random Deep Action-conditional Predictions

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning


the re-implementation of Score CAM with pytorch

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

International journal of computer vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

Learning Visual Explanations for DCNN-Based Image Classifiers Using an
  Attention Mechanism


[ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)

Federated Learning with Label Distribution Skew via Logits Calibration

Understanding and Mitigating Dimensional Collapse in Federated Learning

IEEE transactions on pattern analysis and machine intelligence


Listen Attend and Spell (LAS) implement in pytorch

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Listen, Attend and Spell


Persian Bert For Long-Range Sequences

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

Big Bird: Transformers for Longer Sequences

ParsBERT: Transformer-based Model for Persian Language Understanding

Neural processing letters/Neural Processing Letters


Code for 1st place solution to Kaggle's Abstraction and Reasoning Challenge

The ConceptARC Benchmark: Evaluating Understanding and Generalization in
  the ARC Domain

Fast and flexible: Human program induction in abstract reasoning tasks

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and
  the Importance of Object-based Representations

Neural-guided, Bidirectional Program Search for Abstraction and
  Reasoning


Automatically exported from code.google.com/p/rough-auditing-tool-for-security

Ranking Warnings of Static Analysis Tools Using Representation Learning

Automatic Static Bug Detection for Machine Learning Libraries: Are We
  There Yet?

Comparative Assessment of Static Analysis Tools for Software Vulnerability


hping network tool

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Clustered Federated Learning Architecture for Network Anomaly Detection
  in Large Scale Heterogeneous IoT Networks

Down the Rabbit Hole: Fostering Active Learning through Guided Exploration of a SCADA Cyber Range

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency

Trusted Multi-Domain DDoS Detection Based on Federated Learning


Google Play Unofficial Python API - This project was a PoC and is not maintained anymore. Please feel free to fork it and improve it in any way.

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling

Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection

A First Look at Ad Blocking Apps on Google Play


A Tensorflow implementation of Representation Learning by Learning to Count

Very Deep Convolutional Networks for Large-Scale Image Recognition

Representation Learning: A Review and New Perspectives

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles


Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised
  Domain Adaptation


MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design

State of the Art and Potentialities of Graph-level Learning


PyTorch Implementation of TranSpeech (ICLR'23): Textless NAR Speech-to-Speech Translation with Bilateral Perturbation

Direct speech-to-speech translation with discrete units

GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain
  Text-to-Speech

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition

DASpeech: Directed Acyclic Transformer for Fast and High-quality
  Speech-to-Speech Translation


Training and Evaluation Code for Neural Volumes

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields

Neural Volumes: Learning Dynamic Renderable Volumes from Images


Diffusion Policies as an Expressive Policy Class for Offline
  Reinforcement Learning

Efficient Planning with Latent Diffusion

Boosting Continuous Control with Consistency Policy


Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).

Self-Attentive Sequential Recommendation

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?

Proceedings of the 17th ACM Conference on Recommender Systems

Revisiting Neural Retrieval on Accelerators

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


A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design

A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control

End-to-End UAV Simulation for Visual SLAM and Navigation

An AI-in-Loop Fuzzy-Control Technique for UAV's Stabilization and Landing


A high-throughput and memory-efficient inference and serving engine for LLMs

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

Efficient Memory Management for Large Language Model Serving with PagedAttention

AWQ: Activation-aware Weight Quantization for LLM Compression and
  Acceleration

SqueezeLLM: Dense-and-Sparse Quantization

Learning From Mistakes Makes LLM Better Reasoner

Towards Efficient Generative Large Language Model Serving: A Survey from
  Algorithms to Systems

Open, Closed, or Small Language Models for Text Classification?

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked
  Prefills

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking

Large Language Models: A Survey


Various utilities for processing the data.

Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool

Parsing Universal Dependencies without training

Building minority dependency treebanks, dictionaries and computational grammars at the same time—an experiment in Karelian treebanking

Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)

A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing

Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases

Journal of computer sciences/Journal of computer science

Estimating POS Annotation Consistency of Different Treebanks in a Language

Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

Two languages, one treebank: building a Turkish–German code-switching treebank and its challenges

Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks


This is a React web application designed to demonstrate common use cases of the DW TAP Computational Framework and API.


PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Exploring Transfer Learning for Low Resource Emotional TTS

Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis
  with Graph-based Multi-modal Context Modeling

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent


Public repository for 3D-MILP paper.


Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

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

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

International Conference on Information and Knowledge Management

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction

Advances in Geographic Information Systems

BusTr: Predicting Bus Travel Times from Real-Time Traffic


Dynamic Few-Shot Visual Learning without Forgetting

A Baseline for Few-Shot Image Classification

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning


Green Finance and Environmental Risk


PyTorch Implementation for Neural Graph Collaborative Filtering

Neural Graph Collaborative Filtering

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

Spatial Autoregressive Coding for Graph Neural Recommendation

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering


A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

A Comprehensive Survey on Graph Neural Networks

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation

Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication


MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

Inductive Representation Learning on Large Graphs

Neural Graph Collaborative Filtering

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

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

Large Multi-modal Encoders for Recommendation


Temporal Knowledge Graph Forecasting with Neural ODE

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs


Parallel COLA cosmological simulation + 2LPT initial condition generator + FoF halo finder

Fast and accurate mock catalogue generation for low-mass galaxies

Monthly notices of the Royal Astronomical Society

Large-scale dark matter simulations

Living reviews in computational astrophysics

(DarkAI) Mapping the large-scale density field of dark matter using artificial intelligence


Code for ICDM-2018 paper: SINE: Sclable Incomplete Network Embedding

SINE: Scalable Incomplete Network Embedding

Search Efficient Binary Network Embedding

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods


An improved model of diffuse galactic radio emission from 10 MHz to 5 THz

Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response

MeerTRAP: 12 Galactic fast transients detected in a real-time, commensal MeerKAT survey

Monthly Notices of the Royal Astronomical Society


ngshmmalign is a profile HMM aligner for NGS reads designed particularly for small genomes (such as those of RNA viruses like HIV-1 and HCV) that experience substantial biological insertions and deletions

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses

Characterization of HIV-1 diversity in various compartments at the time of primary infection by ultradeep sequencing

Detecting Selection in the HIV-1 Genome during Sexual Transmission Events


Inferring multi-scale neural mechanisms with brain network modelling

Modeling brain dynamics in brain tumor patients using The Virtual Brain

Modeling brain dynamics after tumor resection using The Virtual Brain


Analyze the dynamic stability of SGD

How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective

On Convergence of Training Loss Without Reaching Stationary Points.


Network Together: Node Classification via Cross-Network Deep Network Embedding

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE transactions on network science and engineering

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy


Sharpness-Aware Minimization for Efficiently Improving Generalization

Teacher Guided Training: An Efficient Framework for Knowledge Transfer


Neural Distributed Image Compression using Cross-Attention Feature Alignment (NDIC-CAM) [WACV 2023]

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Neural Distributed Image Compression Using Common Information

Neural Distributed Image Compression with Cross-Attention Feature Alignment


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

Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System

Towards Semi-Supervised Semantics Understanding from Speech


A python wrapper for Henk Spruit's doppler tomography software

New observations of DW Cnc: where is the 38 min signal?

Evidence of intra-binary shock emission from the redback pulsar PSR J1048+2339

New radial velocity observations of AH Her: evidence for material outside the tidal radius

Structure of the accretion flow of IX Velorum as revealed by high-resolution spectroscopy

NEW PHOTOMETRY AND SPECTROSCOPY OF DW CANCRI

Revista mexicana de astronomía y astrofísica


Implementation of Adverserial autoencoders

A Style-Based Generator Architecture for Generative Adversarial Networks

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

Adversarial Latent Autoencoders


A framework for developing interactive data exploration applications in genomics and systems biology.

Kvik: Interactive exploration of genomic data from the NOWAC postgenome biobank

Building applications for interactive data exploration in systems biology

Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies


Deep metric learning: Triplet, Magnet and VMF loss

FaceNet: A Unified Embedding for Face Recognition and Clustering

Metric Learning with Adaptive Density Discrimination

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval


This repository contains the source code of our proposed multimodal image segmentation frameworks. The network architectures and training procedure are provided to reproduce the experimental results in our publications.

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient


TensorFlow code and pre-trained models for BERT

Attention Is All You Need

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

Semi-supervised Sequence Learning

KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information

Workshop on Cognitive Modeling and Computational Linguistics


Binary Programming Formulation for Learning Classification Trees Using Cplex

Learning Optimal Decision Trees Using Caching Branch-and-Bound Search

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

Column generation based math-heuristic for classification trees

Learning Optimal Decision Trees from Large Datasets


A MinION-based pipeline for tracking species biodiversity

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

DNA Barcoding of Nematodes Using the MinION

Hydraena (s.str.) dinarica, new species (Coleoptera: Hydraenidae) along with further records of Hydraena spp. from Durmitor National Park, Montenegro and comments on the DNA barcoding problem with the genus

Tracking the Source of Human Q Fever from a Southern French Village: Sentinel Animals and Environmental Reservoir


R functions and datasets related to the mapping of text to the United Nations 17 Sustainable Development Goals (SDGs).


This repository contains a script that can be used to facilitate the data workflow for soft-linking of global IAMs and global power system models.

The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100

Global environmental change : human and policy dimensions

Long-term economic growth projections in the Shared Socioeconomic Pathways

Global urbanization projections for the Shared Socioeconomic Pathways

Future growth patterns of world regions – A GDP scenario approach

Income projections for climate change research: A framework based on human capital dynamics

Long term load projection in high resolution for all countries globally

International journal of electrical power & energy systems

Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally

Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data

pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems


This is a new version of Learning Active Learning which uses reinforcement learning

Discovering General-Purpose Active Learning Strategies

Learning active learning at the crossroads? evaluation and discussion

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


research the 2019-nCov and design the inhibitors with AI

AI-aided design of novel targeted covalent inhibitors against SARS-CoV-2

bioRxiv : the preprint server for biology

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using recurrent neural network-based transfer learning

Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research

Artificial intelligence-driven drug repurposing and structural biology for SARS-CoV-2

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments


Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding


Embedder with binary sparse distributed representation.

MINE: Mutual Information Neural Estimation

Interpretable Explanations of Black Boxes by Meaningful Perturbation

International Conference on Computer Vision

Opening the Black Box of Deep Neural Networks via Information


This repository contains JSON decision models for analyzed disability-claim decisions issued by the Board of Veterans' Appeals of the U.S. Department of Veterans Affairs.

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

Cross-Domain Generalization and Knowledge Transfer in Transformers
  Trained on Legal Data

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis

International Conference on Legal Knowledge and Information Systems

Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts

Data-Centric Machine Learning in the Legal Domain


Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Training Adaptive Reconstruction Networks for Blind Inverse Problems

Off-the-grid data-driven optimization of sampling schemes in MRI

Bayesian Optimization of Sampling Densities in MRI

The journal of machine learning for biomedical imaging


Deep Residual Learning for Image Recognition

Attention Is All You Need

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

CBAM: Convolutional Block Attention Module

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Aggregated Residual Transformations for Deep Neural Networks

Training data-efficient image transformers & distillation through attention


De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds

Improved reference genome of Aedes aegypti informs arbovirus vector control

Improved Aedes aegypti mosquito reference genome assembly enables biological discovery and vector control


HARV - HArdened Risc-V

A Low-Cost Fault-Tolerant RISC-V Processor for Space Systems

International Conference on Design & Technology of Integrated Systems in Nanoscale Era

Reliability analysis of a fault-tolerant RISC-V system-on-chip

Microelectronics reliability/Microelectronics and reliability

Characterization of a RISC-V System-on-Chip under Neutron Radiation

International Conference on Design and Technology of Integrated Systems in Nanoscale Era


Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning

International Conference on Machine Learning

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline
  Reinforcement Learning


Software to calculate magnetostriction coefficients and magnetoelastic constants

Spin-lattice model for cubic crystals

MAELAS: MAgneto-ELAStic properties calculation via computational high-throughput approach

MAELAS 2.0: A new version of a computer program for the calculation of magneto-elastic properties

MAELASviewer: An Online Tool to Visualize Magnetostriction

Automated calculations of exchange magnetostriction


PRedictor of IMmunogenic Epitopes

Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting

Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction

Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes

Computational cancer neoantigen prediction: current status and recent advances

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity


Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations.

A Survey of Machine Unlearning


A framework for Bayesian optimization of composite functions.

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Bayesian Optimization of Composite Functions

A General Recipe for Likelihood-free Bayesian Optimization


Sequence Taxonomic Assignment by Massive Pairwise Alignments

Microbial Communities on Plastic Polymers in the Mediterranean Sea

High and specific diversity of protists in the deep-sea basins dominated by diplonemids, kinetoplastids, ciliates and foraminiferans

Cascabel: A Scalable and Versatile Amplicon Sequence Data Analysis Pipeline Delivering Reproducible and Documented Results

Cascabel: a flexible, scalable and easy-to-use amplicon sequence data analysis pipeline

Heterogeneity of the rice microbial community of the Chinese centuries‐old Honghe Hani rice terraces system

Predicting global distributions of eukaryotic plankton communities from satellite data

Global observation of plankton communities from space

Bacteriome Diversity of Blackflies’ Gut and Association with Onchocerca volvulus, the Causative Agent of Onchocerciasis in Mbam Valley (Center Region, Cameroon)


SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.

Advancing Surgical VQA with Scene Graph Knowledge


Robust Asymmetric Loss for Multi-Label Long-Tailed Learning

Focal Loss for Dense Object Detection

Asymmetric Loss For Multi-Label Classification

Simple and Robust Loss Design for Multi-Label Learning with Missing
  Labels


Self-Supervised Graph Transformer on Large-Scale Molecular Data

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

Unraveling Key Elements Underlying Molecular Property Prediction: A
  Systematic Study


Benchmark for federated noisy label learning

mixup: Beyond Empirical Risk Minimization

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Robust Loss Functions under Label Noise for Deep Neural Networks

FedNoisy: Federated Noisy Label Learning Benchmark


10x single cell RNA-seq data from the developing mouse retina

A shared transcriptional code orchestrates temporal patterning of the central nervous system

Universal prediction of cell-cycle position using transfer learning

Diversification of multipotential postmitotic mouse retinal ganglion cell precursors into discrete types

Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers

Temporal patterning of the central nervous system by a shared transcription factor code


Making Pre-trained Language Models Better Few-shot Learners

Revisiting Self-Training for Few-Shot Learning of Language Model


The Health Gym: Synthetic Health-Related Datasets for the Development of
  Reinforcement Learning Algorithms

Generating Synthetic Clinical Data that Capture Class Imbalanced
  Distributions with Generative Adversarial Networks: Example using
  Antiretroviral Therapy for HIV

Synthetic Health-related Longitudinal Data with Mixed-type Variables
  Generated using Diffusion Models


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

Novel Plant-Associated Brevibacillus and Lysinibacillus Genomospecies Harbor a Rich Biosynthetic Potential of Antimicrobial Compounds

Genetic diversity of Leptospira isolates in Lao PDR and genome analysis of an outbreak strain

Genome sequence data of Bacillus velezensis BP1.2A and BT2.4

Plant-Associated Representatives of the Bacillus cereus Group Are a Rich Source of Antimicrobial Compounds


What Matters in Unsupervised Optical Flow

Polygonal Point Set Tracking

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses


GNN-based embedding for clustering scRNA-seq data

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


A pipeline for complete characterization of complex germline rearrangements from long DNA reads

Long-read DNA sequencing fully characterized chromothripsis in a patient with Langer–Giedion syndrome and Cornelia de Lange syndrome-4

Biallelic structural variations within FGF12 detected by long-read sequencing in epilepsy

A method for complete characterization of complex germline rearrangements from long DNA reads

Finding rearrangements in nanopore DNA reads with last and dnarrange


The official PyTorch implementation of the paper "Optical Flow Training under Limited Label Budget via Active Learning" (ECCV 2022)

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation


United Kingdom Generic Distribution System

Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information

Review of Steady-State Electric Power Distribution System Datasets

Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis

Value of Point-of-Load Voltage Control for Enhanced Frequency Response in Future GB Power System

Review and Classification of Published Electric Steady-State Power Distribution System Models.

Two-Stage Stochastic Model to Invest in Distributed Generation Considering the Long-Term Uncertainties


Use a CGAN to generate synthetic images of healthy and unhealthy lemons

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

International journal of computer vision

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation


Stochastic PDHG with Arbitrary Sampling and Imaging Applications

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

Faster PET reconstruction with non-smooth priors by randomization and preconditioning

A New Randomized Primal-Dual Algorithm for Convex Optimization with
  Optimal Last Iterate Rates


Utilizing Deep Learning to detect COVID-19 and Viral Pneumonia from x-ray images

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

A Deep Learning Approach for COVID-19 8 Viral Pneumonia Screening with X-ray Images


Paper list of dementia detection

Linguistic Features Identify Alzheimer's Disease in Narrative Speech.

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech

An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech

IEEE journal of selected topics in signal processing

Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review

To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection

Linguistic markers predict onset of Alzheimer's disease

Detecting cognitive decline using speech only: The ADReSSo Challenge

Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

International Conference on Acoustics, Speech, and Signal Processing


X-ray absorption re-emission scattering - Monte Carlo simulator for X-ray obscurers

X-ray spectral and eclipsing model of the clumpy obscurer in active galactic nuclei

Physically motivated X-ray obscurer models

X-ray radiative transfer in full 3D with SKIRT

The High Energy X-ray Probe (HEX-P): The Circum-nuclear Environment of
  Growing Supermassive Black Holes

A hard look at the X-ray spectral variability of NGC 7582


A short tutorial on Keras for the co-utilization of audio and text data (multi-modal analysis)

A Structured Self-attentive Sentence Embedding

Speech Emotion Recognition Using Multi-hop Attention Mechanism

Investigating an Effective Character-level Embedding in Korean Sentence Classification.

Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset

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

Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution

Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface.


PyTorch implementation of MulMON

Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints


Potential Field Source Surface model in a spherical shell, using finite differences.

Magnetic Connectivity of the Ecliptic Plane within 0.5 au: Potential Field Source Surface Modeling of the First Parker Solar Probe Encounter

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

Magnetic Structures at the Boundary of the Closed Corona: Interpretation of S-Web Arcs

Prediction of the Sun’s Coronal Magnetic Field and Forward-modeled Polarization Characteristics for the 2019 July 2 Total Solar Eclipse

Small-scale Turbulent Motion of the Plasma in a Solar Filament as the Precursor of Eruption


Code for Efficient Continuous Control with Double Actors and Regularized Critics, AAAI 2022.

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse

Reinforcement Learning for Predicting Traffic Accidents


Virus metagenomic pipeline for unknown host or in absence of a host genome

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Whole-genome sequencing of parvoviruses from wild and domestic animals in Brazil provides new insights into parvovirus distribution and diversity

Discovery of novel astrovirus and calicivirus identified in ruddy turnstones in Brazil

A Novel Hepacivirus in Wild Rodents from South America

Metaviromics Reveals Unknown Viral Diversity in the Biting Midge Culicoides impunctatus

Gas6 drives Zika virus-induced neurological complications in humans and congenital syndrome in immunocompetent mice

Pingu virus: A new picornavirus in penguins from Antarctica


HuMIdb dataset (Human Mobile Interaction database) characterizes the interaction of 600 users according to 14 sensors during normal human-mobile interactions in an unsupervised scenario with more than 300 different devices.

Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication

BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb

Mobile Behavioral Biometrics for Passive Authentication

BeCAPTCHA: Bot Detection in Smartphone Interaction using Touchscreen Biometrics and Mobile Sensors.

Techniques for Continuous Touch-Based Authentication Modeling


LUTNet: Rethinking Inference in FPGA Soft Logic

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

Logic Shrinkage

Symposium on Field Programmable Gate Arrays


Repository to reproduce SketchBoost paper experiments

TabNet: Attentive Interpretable Tabular Learning

GBDT-MO: Gradient-Boosted Decision Trees for Multiple Outputs

SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput
  Problems


Weakly-supervised Text Classification Based on Keyword Graph

X-Class: Text Classification with Extremely Weak Supervision

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


Graph Neural Networks with Adaptive Residual

Robust Graph Representation Learning for Local Corruption Recovery

Clenshaw Graph Neural Networks


About MindSpore implementations of various Deep NLP models in cs-224n(Stanford Univ)

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

Distributed Representations of Words and Phrases and their Compositionality

Efficient Estimation of Word Representations in Vector Space

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Neural Networks for Sentence Classification

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

On Multilingual Training of Neural Dependency Parsers


This is the second version of the practices for the rookies of BJTUNLPers.

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

Recurrent Neural Network Grammars

Enhanced LSTM for Natural Language Inference

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


A Full Featured Multiple Sequence Alignment Editor.

The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding

Heat Shock Protein 20 Gene Superfamilies in Red Algae: Evolutionary and Functional Diversities

Floridean Starch and Floridoside Metabolic Pathways of Neoporphyra haitanensis and Their Regulatory Mechanism under Continuous Darkness

Genome-Wide Identification and Functional Analysis of the GASA Gene Family Responding to Multiple Stressors in Canavalia rosea

Expression of A New Endogenous Retrovirus-Associated Transcript in Hodgkin Lymphoma Cells

International journal of molecular sciences

Genetic Diversity Analysis of Surface-Related Antigen (SRA) in Plasmodium falciparum Imported From Africa to China


This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer" accepted to ICML 2022.

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning


code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22

A Survey of Machine Unlearning


Estimate distances to stars as done for the Gaia-DR2 distance catalogue

Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2

Quiescent X-ray variability in the neutron star Be/X-ray transient GRO J1750-27

Photometric and Kinematic Study of the Open Clusters SAI 44 and SAI 45


a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans

Automated segmentation of the hypothalamus and associated subunits in brain MRI

A Learning Strategy for Contrast-agnostic MRI Segmentation

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images

Unsupervised Data Imputation via Variational Inference of Deep Subspaces


Cross domain Aspect Sentiment Analysis

Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis

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

DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction

Multi-Domain Targeted Sentiment Analysis


Multi-Feature Integration for Perception-Dependent Examination-Bias
  Estimation


The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

A General Framework For Detecting Anomalous Inputs to DNN Classifiers

Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples

Adversarial Examples Detection with Bayesian Neural Network


Preprocessing scripts to read definitions and other information from dictionaries

Learning to Understand Phrases by Embedding the Dictionary

Definition Modeling: Learning to Define Word Embeddings in Natural Language

Learning to Describe Unknown Phrases with Local and Global Contexts


"Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")

Learning Accurate Decision Trees with Bandit Feedback via Quantized
  Gradient Descent

Locally Constant Networks


PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Calibrated Learning to Defer with One-vs-All Classifiers


AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning

Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

GRAIMATTER Green Paper: Recommendations for disclosure control of
  trained Machine Learning (ML) models from Trusted Research Environments
  (TREs)


[AAAI2022] Code Release of Attacking Video Recognition Models with Bullet-Screen Comments

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

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning


DAGs with No Curl: An Efficient DAG Structure Learning Approach

On the Convergence of Continuous Constrained Optimization for Structure Learning

Truncated Matrix Power Iteration for Differentiable DAG Learning

Learning DAGs from Data with Few Root Causes


A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

ASAP: Architecture Search, Anneal and Prune

Fast Hardware-Aware Neural Architecture Search

Inter-choice dependent super-network weights.


The implementation for DropMessage.

Improving neural networks by preventing co-adaptation of feature detectors

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph Random Neural Network for Semi-Supervised Learning on Graphs

DropMessage: Unifying Random Dropping for Graph Neural Networks


DeepLocalize: Fault Localization for Deep NeuralNetworks

DeepLocalize: Fault Localization for Deep Neural Networks

DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs


The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

Nonlinear Sufficient Dimension Reduction with a Stochastic Neural
  Network

Applying causal discovery to single-cell analyses using CausalCell


An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model

International Conference on Computational Linguistics

Simple Embedding-Based Word Sense Disambiguation

Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation.


Deep neural networks learn general and clinically relevant representations of the ageing brain

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test-retest reliability of publicly available software packages

Considerations on brain age predictions from repeatedly sampled data across time


My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.

Fast Hoeffding Drift Detection Method for Evolving Data Streams

McDiarmid Drift Detection Methods for Evolving Data Streams

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams

A Reservoir of Adaptive Algorithms for Online Learning from Evolving Data Streams


A code framework for implementing UniDA

Deep Hashing Network for Unsupervised Domain Adaptation

VisDA: The Visual Domain Adaptation Challenge

Universal Domain Adaptation from Foundation Models: A Baseline Study


:mag: python package to evaluate GANs for video generation

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

Improved Techniques for Training GANs

Assessing Generative Models via Precision and Recall

An empirical study on evaluation metrics of generative adversarial networks


I am currently a Senior Researcher at L3S Research Center, Leibniz University Hannover, Germany.

A Review for Weighted MinHash Algorithms

Hashing-Accelerated Graph Neural Networks for Link Prediction

Search Efficient Binary Network Embedding


astromonical fits image for python matplotlib

K2 Rotation Periods for Low-mass Hyads and a Quantitative Comparison of the Distribution of Slow Rotators in the Hyades and Praesepe

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY

Poking the Beehive from Space: K2 Rotation Periods for Praesepe


DeepSign: Deep On-Line Signature Verification

IEEE transactions on biometrics, behavior, and identity science

SVC-onGoing: Signature Verification Competition

DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations

Exploiting complexity in pen- and touch-based signature biometrics

International journal on document analysis and recognition

ICDAR 2021 Competition on On-Line Signature Verification

Introduction to Presentation Attacks in Signature Biometrics and Recent Advances


Friends of Friends cluster finding in python.

Approximate Bayesian computation in large-scale structure : constraining the galaxy-halo connection

Monthly Notices of the Royal Astronomical Society

The R-Process Alliance: Chemodynamically Tagged Groups of Halo r-process-enhanced Stars Reveal a Shared Chemical-evolution History

Possibilities and Limitations of Kinematically Identifying Stars from Accreted Ultra-faint Dwarf Galaxies

Morphological Evolution of the Hosts of Far-infrared/Submillimeter Galaxies


Train neural networks to use as SMC and importance sampling proposals

MADE: Masked Autoencoder for Distribution Estimation

Inference Networks for Sequential Monte Carlo in Graphical Models

Divide-and-Conquer With Sequential Monte Carlo

Journal of computational and graphical statistics


Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian
  Meta-Learning Algorithms


Reasoning Over Knowledge Graph Paths for Recommendation

Explainable Reasoning over Knowledge Graphs for Recommendation

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

Learning Triple Embeddings from Knowledge Graphs

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

Rule-Guided Graph Neural Networks for Recommender Systems


Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment

Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray


Tunisian Sentiment Analysis Corpus.

A review of sentiment analysis research in Arabic language

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments

Proceedings of the Third Arabic Natural Language Processing Workshop

Learning Word Representations for Tunisian Sentiment Analysis

ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

COTA 2.0: an Automatic Corrector of Tunisian Arabic Social Media Texts

Jordanian journal for computers and information technology/Jordanian journal of computers and information technology


The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

Curiosity-driven Exploration by Self-supervised Prediction

Exploration by Random Network Distillation

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments


Reference implementations for RecurJac, CROWN, FastLin and FastLip  (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intelligence/auto_LiRPA instead]

Towards Fast Computation of Certified Robustness for ReLU Networks

Efficient Neural Network Robustness Certification with General Activation Functions

Algorithms for Verifying Deep Neural Networks

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


PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

First Order Constrained Optimization in Policy Space

Robust Learning from Observation with Model Misspecification


An R package for reproducible and automated ADMIXTOOLS analyses

Limits of long-term selection against Neandertal introgression

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

admixr-R package for reproducible analyses using ADMIXTOOLS

The limits of long-term selection against Neandertal introgression

Origin and mobility of Iron Age Gaulish groups in present-day France revealed through archaeogenomics


Variable rate with MAE

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Lossy Image Compression with Compressive Autoencoders

Variable Rate Deep Image Compression With Modulated Autoencoder


MESA isochrone code

MESA ISOCHRONES AND STELLAR TRACKS (MIST) 0: METHODS FOR THE CONSTRUCTION OF STELLAR ISOCHRONES

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

Stellar and Nebular Diagnostics in the Ultraviolet for Star-forming Galaxies

Self-consistent Predictions for LIER-like Emission Lines from Post-AGB Stars


deep learning for math

DeepMath - Deep Sequence Models for Premise Selection

Reinforcement Learning of Theorem Proving

Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

Prolog Technology Reinforcement Learning Prover

Learning to Guide a Saturation-Based Theorem Prover

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.

Premise selection with neural networks and distributed representation of features

The Role of Entropy in Guiding a Connection Prover

An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic


All NLP experiments described in ArXiv paper 1904.02682

Advancing NLP with Cognitive Language Processing Signals

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals

Relation Classification with Cognitive Attention Supervision

Workshop on Cognitive Modeling and Computational Linguistics


[NeurIPS 2023] Meta-Adapter

Learning to Prompt for Vision-Language Models

CLIP-Adapter: Better Vision-Language Models with Feature Adapters

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


Code for running analyses carried out in Stegen et al. 2013, ISME

Predominance of Cand. Patescibacteria in Groundwater Is Caused by Their Preferential Mobilization From Soils and Flourishing Under Oligotrophic Conditions

Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland

Community Assembly Mechanisms Underlying the Core and Random Bacterioplankton and Microeukaryotes in a River–Reservoir System

Local and Regional Diversity Reveals Dispersal Limitation and Drift as Drivers for Groundwater Bacterial Communities from a Fractured Granite Formation

Mycoplankton Biome Structure and Assemblage Processes Differ Along a Transect From the Elbe River Down to the River Plume and the Adjacent Marine Waters

Nitrogen enrichment suppresses other environmental drivers and homogenizes salt marsh leaf microbiome

Contrasting Community Assembly Forces Drive Microbial Structural and Potential Functional Responses to Precipitation in an Incipient Soil System

Gut bacterial communities and their assembly processing in Cnaphalocrocis medinalis from different geographic sources


Pulsar searching with the Fast Folding Algorithm (FFA)

Possible periodic activity in the repeating FRB 121102

Optimal periodicity searching: revisiting the fast folding algorithm for large-scale pulsar surveys

Burst properties of the highly active FRB20201124A using uGMRT

Monthly notices of the Royal Astronomical Society

FAST early pulsar discoveries: Effelsberg follow-up

FAST Observations of an Extremely Active Episode of FRB 20201124A. IV. Spin Period Search

The High Time Resolution Universe Pulsar Survey – XVII. PSR J1325−6253, a low eccentricity double neutron star system from an ultra-stripped supernova

Pushchino multibeam pulsar search: I. Targeted search of weak pulsars

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

Search for Periodic Emission from Five Gamma-Ray Pulsars at the Frequency of 111 MHz

Detecting pulsars with neural networks: a proof of concept


Use EMCEE to do MCMC analyses of spectra in XSPEC

A dynamic black hole corona in an active galaxy through X-ray reverberation mapping

Velocity width measurements of the coolest X-ray emitting material in the cores of clusters, groups and elliptical galaxies

The remarkable X-ray variability of IRAS 13224–3809 – I. The variability process

The nuclear environment of the NLS1 Mrk 335: Obscuration of the X-ray line emission by a variable outflow

Trends and variability in absolute indices of temperature extremes over Nigeria: linkage with NAO

Testing General Relativity with NuSTAR Data of Galactic Black Holes

Testing the accuracy of reflection-based supermassive black hole spin measurements in AGN

X-ray reflection from the inner disc of the AGN Ton S180

Light bending and X-ray echoes from behind a supermassive black hole

Multiwavelength study of the flaring activity of Sgr A* in 2014 February-April

HAL (Le Centre pour la Communication Scientifique Directe)


:earth_americas: Readings and resource materials for data science

What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science

Perspectives on psychological science : a journal of the Association for Psychological Science

Ten Simple Rules for Effective Statistical Practice

Data Validation

A statistical definition for reproducibility and replicability

Common Statistical Pitfalls in Basic Science Research

Journal of the American Heart Association. Cardiovascular and cerebrovascular disease


Source for Action Schema Networks paper (AAAI'18)

Action Schema Networks: Generalised Policies with Deep Learning

ASNets: Deep Learning for Generalised Planning

Journal of artificial intelligence research/The journal of artificial intelligence research

Reinforcement Learning on Graphs: A Survey


use long sequenced reads to close gaps in assemblies

Chromosome-Scale Genome Assembly for Chinese Sour Jujube and Insights Into Its Genome Evolution and Domestication Signature

An ancient truncated duplication of the anti-Mullerian hormone receptor type 2 gene is a potential conserved master sex determinant in the Pangasiidae catfish family

Hybridization Dynamics and Extensive Introgression in the Daphnia longispina Species Complex: New Insights from a High-Quality Daphnia galeata Reference Genome


A false-positive filter for variants called from massively parallel sequencing

Spatial intratumoral heterogeneity and temporal clonal evolution in esophageal squamous cell carcinoma

Combination of Flow Cytometry and Functional Imaging for Monitoring of Residual Disease in Myeloma

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

Exome scale map of genetic alterations promoting metastasis in colorectal cancer

The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

ASXL2 regulates hematopoiesis in mice and its deficiency promotes myeloid expansion

Poor Overall Survival in Hyperhaploid Multiple Myeloma Is Defined By Double-Hit Bi-Allelic Inactivation of TP53

Evolutionary Trajectories and Genomic Divergence in Localized Breast Cancers after Ipsilateral Breast Tumor Recurrence


Sinhalese Language based Hate Speech Detection

Automated Hate Speech Detection and the Problem of Offensive Language

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

North American Chapter of the Association for Computational Linguistics

Deep Learning for Hate Speech Detection in Tweets

WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter

Using Convolutional Neural Networks to Classify Hate-Speech

Meeting of the Association for Computational Linguistics


Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction

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

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

Graph Neural Network for Traffic Forecasting: The Research Progress

ISPRS international journal of geo-information


COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing".

Multilingual Neural RST Discourse Parsing

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization

Composition-contrastive Learning for Sentence Embeddings


Energy Sharing System


Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

Contrastive Learning Improves Model Robustness Under Label Noise


Compute N50/NG50 and auN/auNG

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Evolutionary dynamics of transposable elements in bdelloid rotifers

The genome of a giant (trevally): Caranx ignobilis

De novo genome assembly of the marine teleost, bluefin trevally (Caranx melampygus)


Dot: An interactive dot plot viewer for comparative genomics

Metabolic novelty originating from horizontal gene transfer is essential for leaf beetle survival

A gap-free genome assembly of Chlamydomonas reinhardtii and detection of translocations induced by CRISPR-mediated mutagenesis

PETTY TRADING IN MARKETPLACES: Space Generation, Use and Management at Temeke Stereo Marketplace in Dar es Salaam, Tanzania

Chromosome-level genome assembly of Lilford's wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain).

CRISPR/Cas9-Mediated Enrichment Coupled to Nanopore Sequencing Provides a Valuable Tool for the Precise Reconstruction of Large Genomic Target Regions

International journal of molecular sciences

Chromosome-length genome assemblies of cactophilicDrosophilailluminate links between structural and sequence evolution

A reference genome assembly of the declining tricolored blackbird, Agelaius tricolor

Illumina short-read sequencing data, de novo assembly and annotations of the Drosophila nasuta nasuta genome


Commonsense Ability Tests

Evaluating Commonsense in Pre-trained Language Models

Probing Across Time: What Does RoBERTa Know and When?

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring


Joulia.jl: A Large-Scale Spatial Power System Model for Julia

Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language


[ICML 2022 / ICLR 2024]  Source code for our papers  "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

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

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield
  but Also a Catalyst for Model Inversion Attacks


Finetuning InstructLLaMA with portuguese data

Monolingual or Multilingual Instruction Tuning: Which Makes a Better
  Alpaca


Matlab routines for computing the Modulation Index and Comodulogram, as described in Tort et al., J Neurophysiol 2010

Hippocampal-Prefrontal Interactions during Spatial Decision-Making

Oscillations support short latency co-firing of neurons during human episodic memory formation

Visual evoked feedforward–feedback traveling waves organize neural activity across the cortical hierarchy in mice

Mouse mutants in schizophrenia risk genes GRIN2A and AKAP11 show EEG abnormalities in common with schizophrenia patients


TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

Improved Techniques for Training GANs

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

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions


Imfit: an open-source astronomical image-fitting program.

Jekyll & Hyde: quiescence and extreme obscuration in a pair of massive galaxies 1.5 Gyr after the Big Bang

The Intrinsic Shapes of Low Surface Brightness Galaxies (LSBGs): A Discriminant of LSBG Galaxy Formation Mechanisms

Composite bulges – II. Classical bulges and nuclear discs in barred galaxies: the contrasting cases of NGC 4608 and NGC 4643

Composite Bulges. III. A Study of Nuclear Star Clusters in Nearby Spiral Galaxies


Figure 1 COVID-19 Chest X-ray Dataset Initiative

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Dynamic Fusion based Federated Learning for COVID-19 Detection

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR

Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem


Get E(B-V) values from SFD dust map data

Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

Think Global, Act Local: The Influence of Environment Age and Host Mass on Type Ia Supernova Light Curves

HELP: a catalogue of 170 million objects, selected at 0.36-4.5 μm, from 1270 deg 2 of prime extragalactic fields

Monthly Notices of the Royal Astronomical Society

Cosmological measurements from angular power spectra analysis of BOSS DR12 tomography

Serendipitous discoveries of kilonovae in the LSST main survey: maximizing detections of sub-threshold gravitational wave events

Stellar substructures in the periphery of the Magellanic Clouds with the VISTA hemisphere survey from the red clump and other tracers

Random Forests as a Viable Method to Select and Discover High-redshift Quasars

A Chemo-dynamical Link between the Gjöll Stream and NGC 3201

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop


phenoscanner allows users to query the PhenoScanner database of genotype-phenotype associations from inside R

Genome-wide association study identifies five risk loci for pernicious anemia

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Multiple functional variants in the IL1RL1 region are pretransplant markers for risk of GVHD and infection deaths

Identification of potential drug targets for varicose veins: a Mendelian randomization analysis


Code for HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation (CVPR 2024)

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context


The source code of "Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo"

Review of deep learning for photoacoustic imaging

Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo


Implementation for the IJCAI2021 work "Beyond the Spectrum: Detecting Deepfakes via Re-synthesis"

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

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


A challenging, in the wild dataset for experimentation with face masks with 63,072 face images.

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

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

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

IEEE transactions on artificial intelligence

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

Transportation research interdisciplinary perspectives


DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R

Double Machine Learning based Program Evaluation under Unconfoundedness

Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments


Symmetric Metric Learning with Adaptive Margin for Recommendation

Sequential Recommendation via Stochastic Self-Attention

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

Multi-Facet Recommender Networks with Spherical Optimization


Perl script for simulating PCR reactions. Extract sequences from a query based on primer sequences.

The Population Structure of Pseudomonas aeruginosa Is Characterized by Genetic Isolation of exoU+ and exoS+ Lineages

The global emergence of a novel Streptococcus suis clade associated with human infections

RibDif: can individual species be differentiated by 16S sequencing?

Characterization of Hemerocallis citrina Transcriptome and Development of EST-SSR Markers for Evaluation of Genetic Diversity and Population Structure of Hemerocallis Collection

Identification and Differentiation of Pseudomonas Species in Field Samples Using an rpoD Amplicon Sequencing Methodology

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

The natural product biosynthesis potential of the microbiomes of Earth – Bioprospecting for novel anti-microbial agents in the meta-omics era

Computational and structural biotechnology journal

High Occurrence of Shiga Toxin-Producing Escherichia coli in Raw Meat-Based Diets for Companion Animals—A Public Health Issue

Molecular Typing of Ukrainian Bacillus anthracis Strains by Combining Whole-Genome Sequencing Techniques

Phylogenomic Analysis of Campylobacter fetus Reveals a Clonal Structure of Insertion Element ISCfe1 Positive Genomes


The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

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

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios


Denoising autoencoders for anomaly detection in medical imaging

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

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

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training.

Adaptive Graph Diffusion Networks

SCR: Training Graph Neural Networks with Consistency Regularization


Disclosure Avoidance System for the 2020 Census, End-to-End release

The Discrete Gaussian for Differential Privacy

Guidelines for Implementing and Auditing Differentially Private Systems

Census TopDown: The Impacts of Differential Privacy on Redistricting

On Differentially Private Counting on Trees


Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

Feature Selection for Recommender Systems with Quantum Computing

Scientific Paper Recommendation Systems: a Literature Review of recent
  Publications

Less is More: Reweighting Important Spectral Graph Features for Recommendation

An Academic Text Recommendation Method Based on Graph Neural Network

Tag-Aware Document Representation for Research Paper Recommendation


Implemention of paper "“Learning a Low Tensor-train Rank for Hyperspectral Image Super-resolution" (TNNLS 2019)

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

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

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

Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing


Generative Adversarial Networks in PyTorch

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

PAGER: Progressive Attribute-Guided Extendable Robust Image Generation


UniSA: Unified Generative Framework for Sentiment Analysis

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

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension


Uncertainty Aware Semi-Supervised Learning on Graph Data

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

Learning on Graphs with Out-of-Distribution Nodes

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


Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Representation Based Complexity Measures for Predicting Generalization in Deep Learning

Predicting Deep Neural Network Generalization with Perturbation Response Curves

Gi and Pal Scores: Deep Neural Network Generalization Statistics


[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"

Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable
  Example Attacks

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


Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

Automated Machine Learning: State-of-The-Art and Open Challenges

Probabilistic Matrix Factorization for Automated Machine Learning

Deep Pipeline Embeddings for AutoML


PLANET: a Piece-wise LineAr feed-forward NEural network verification Tool

Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

Algorithms for Verifying Deep Neural Networks

A Unified View of Piecewise Linear Neural Network Verification

Branch and Bound for Piecewise Linear Neural Network Verification

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Piecewise Linear Neural Networks verification: A comparative study

A Review of Formal Methods applied to Machine Learning


Fuel cell electric vehicle with battery model and cooling system.


Visualizer for PyTorch image models

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

International journal of computer vision

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Understanding Deep Image Representations by Inverting Them

Fossil image identification using deep learning ensembles of data augmented multiviews


Segment cuboid-shaped objects (e.g. parcels) without any task specific training data. Code from ICMLA 2020 paper "Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection".

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image


A fast and lightweight python-based linear mixed-model solver for use in genome-wide association studies.

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells

Finding associated variants in genome-wide association studies on multiple traits

The genomic and epigenetic footprint of local adaptation to variable climates in kiwifruit


Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Effectiveness of Pre-training for Few-shot Intent Classification

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization


An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery

Extended-Connectivity Fingerprints

Journal of chemical information and modeling

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

Deep Learning for Computational Chemistry

Molecular Transformer – A Model for Uncertainty-Calibrated Chemical Reaction Prediction

Machine learning prediction errors better than DFT accuracy

GuacaMol: Benchmarking Models for De Novo Molecular Design

Neural-Symbolic Machine Learning for Retrosynthesis and Reaction Prediction

Chemistry (Weinheim an der Bergstrasse, Germany)

Deep Learning in Chemistry


FiLM: Visual Reasoning with a General Conditioning Layer

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Inferring and Executing Programs for Visual Reasoning

A Corpus for Reasoning About Natural Language Grounded in Photographs

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Learning Visual Reasoning Without Strong Priors

Multi-View Visual Question Answering with Active Viewpoint Selection

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models


[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

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

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment


Ripser: efficient computation of Vietoris–Rips persistence barcodes

A roadmap for the computation of persistent homology

Toroidal topology of population activity in grid cells

Ripser.py: A Lean Persistent Homology Library for Python

Simplicial complexes and complex systems

Learning metrics for persistence-based summaries and applications for graph classification

Persistent homology of complex networks for dynamic state detection

Connectivity-Optimized Representation Learning via Persistent Homology

Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

Decoding of neural data using cohomological feature extraction

GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes


Code for "Label-Consistent Backdoor Attacks"

Label-Consistent Backdoor Attacks

Adversarial Neuron Pruning Purifies Backdoored Deep Models

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Training with More Confidence: Mitigating Injected and Natural Backdoors
  During Training

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.

Rethinking Backdoor Data Poisoning Attacks in the Context of
  Semi-Supervised Learning


Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

Visual Classification via Description from Large Language Models

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models


reference-based long read assemblies of bacterial genomes

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments

Complete Genome of Lactobacillus iners KY Using Flongle Provides Insight Into the Genetic Background of Optimal Adaption to Vaginal Econiche

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Complete and validated genomes from a metagenome

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

NanoForms: an integrated server for processing, analysis and assembly of raw sequencing data of microbial genomes, from Oxford Nanopore technology

Genome assembly of three AmazonianMorphobutterfly species reveals Z-chromosome rearrangements between closely-related species living in sympatry


Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Big Self-Supervised Models are Strong Semi-Supervised Learners

Meta Pseudo Labels

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


Code base for "G-Transformer for Document-level Machine Translation"

Contextualized Rewriting for Text Summarization

Exploring Paracrawl for Document-level Neural Machine Translation


[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

Large Dual Encoders Are Generalizable Retrievers

Text and Code Embeddings by Contrastive Pre-Training

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

COCO-DR: Combating Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning


A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

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

Making a “Completely Blind” Image Quality Analyzer

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Maintaining Natural Image Statistics with the Contextual Loss

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality


Specificity-preserving RGB-D Saliency Detection

Pyramidal Attention for Saliency Detection


A survey of localized sequence rearrangements in human DNA

Robust detection of tandem repeat expansions from long DNA reads

Genome assembly of a Mesoamerican derived variety of lima bean: a foundational cultivar in the Mid-Atlantic USA

DNA conserved in diverse animals since the Precambrian controls genes for embryonic development


Slimmable Compressive Autoencoders for Practical Neural Image Compression

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Lossy Image Compression with Compressive Autoencoders


Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A brief review of protein–ligand interaction prediction

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


Network Representation Learning with Rich Text Information (IJCAI 2015)

A Survey on Network Embedding

Network Representation Learning: A Survey

Embedding Graph Auto-Encoder for Graph Clustering


PyTorch implementation of Tacotron speech synthesis model.

Tacotron: Towards End-to-End Speech Synthesis

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

TorchDIVA: An Extensible Computational Model of Speech Production built
  on an Open-Source Machine Learning Library


syllable, word and phrase segmenter for Burmese (Myanmar language)

Distributed Representations of Words and Phrases and their Compositionality

Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

NECTEC’s Participation in WAT-2021


A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

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

siVAE: interpretable deep generative models for single-cell transcriptomes


Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Cross-Modal Discrete Representation Learning

Cascaded Multilingual Audio-Visual Learning from Videos


Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm

GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs

Critical length in long-read resequencing

Insights from a genome-wide truth set of tandem repeat variation

bioRxiv : the preprint server for biology

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers


Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

Transformer Hawkes Process

Self-Attentive Hawkes Processes

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon
  Prediction of Event Sequences

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Prompt-augmented Temporal Point Process for Streaming Event Sequence


Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training

IEEE journal of selected topics in applied earth observations and remote sensing


Code for "Counterfactual Fairness" (NIPS2017)

Counterfactual Fairness

Counterfactual Fairness for Predictions using Generative Adversarial
  Networks


Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Graph Neural Network for Traffic Forecasting: A Survey


:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

MedDiff: Generating Electronic Health Records using Accelerated
  Denoising Diffusion Model


Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

On the Stability-Plasticity Dilemma of Class-Incremental Learning


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

UL2: Unifying Language Learning Paradigms

Scaling Up Models and Data with  and

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

MAGVIT: Masked Generative Video Transformer

All You May Need for VQA are Image Captions

CoLT5: Faster Long-Range Transformers with Conditional Computation

PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition

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

Alternating Gradient Descent and Mixture-of-Experts for Integrated
  Multimodal Perception


A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.