A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.

Quantum Chemistry in the Age of Quantum Computing

Quantum circuit learning

Evaluating analytic gradients on quantum hardware

Circuit-centric quantum classifiers

Quantum optimization using variational algorithms on near-term quantum devices

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Quantum Boltzmann Machine

Quantum autoencoders for efficient compression of quantum data

Quantum Generative Adversarial Learning

Quantum generative adversarial networks


(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning


Probing Cosmic Reionization and Molecular Gas Growth with TIME

Revealing the formation histories of the first stars with the cosmic near-infrared background

Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing

Fabulous code for spherical Fourier-Bessel decomposition

LIMFAST. I. A Seminumerical Tool for Line Intensity Mapping

Cosmic Near-infrared Background Tomography with SPHEREx Using Galaxy Cross-correlations

Optimal survey parameters: Ly alpha and H alpha intensity mapping for synergy with the 21-cm signal during reionization

Monthly Notices of the Royal Astronomical Society

Signatures of primordial black holes in gravitational wave clustering

Joint analyses of 2D CMB lensing and 3D galaxy clustering in the spherical Fourier-Bessel basis

Deep-learning Reconstruction of Three-dimensional Galaxy Distributions with Intensity Mapping Observations


Matlab code of Bayesian CP Factorization for Tensor Completion

Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion

A dual framework for low-rank tensor completion

Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data


MARNNs Can Learn Generalized Dyck Languages

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Context-Free Transductions with Neural Stacks

Can RNNs learn Recursive Nested Subject-Verb Agreements?

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis

Reservoir Stack Machines


Bayesian inference for learning Tree Substitution Grammars

Stylometric Analysis of Scientific Articles

North American Chapter of the Association for Computational Linguistics

Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification

International Conference on Computational Linguistics

Explicit and Implicit Syntactic Features for Text Classification

Meeting of the Association for Computational Linguistics

NLI Shared Task 2013: MQ Submission

Workshop on Innovative Use of NLP for Building Educational Applications

Judging Grammaticality with Tree Substitution Grammar Derivations


Pytorch implementation of the Power Spherical distribution

The Power Spherical distribution

Representation Uncertainty in Self-Supervised Learning as Variational Inference

Latent SDEs on Homogeneous Spaces


[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

Pruning Filters for Efficient ConvNets

Trainability Preserving Neural Pruning

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning


This repository contains scripts, data and jupyter notebooks used to produce the evaluation results in the BioPhi 2021 publication

Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires

Thera-SAbDab: the Therapeutic Structural Antibody Database

BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning

Humanization of antibodies using a machine learning approach on large-scale repertoire data

Humanization of Antibodies using a Statistical Inference Approach


A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

Making AI Forget You: Data Deletion in Machine Learning

Heterogeneity for the Win: One-Shot Federated Clustering

Machine Unlearning of Federated Clusters

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory


Offical code repository for PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation, EMNLP 2023

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


Intrinsic Evaluation of pre-trained word embeddings, using large Word Association Dataset: SWOW (Small World of Words)

UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

A Survey of Word Embeddings Evaluation Methods

SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings

Workshop on Evaluating Vector-Space Representations for NLP


ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Time Series Extrinsic Regression

Monash University, UEA, UCR Time Series Regression Archive

S-Rocket: Selective Random Convolution Kernels for Time Series Classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

A systematic review of Python packages for time series analysis


State-of-the-art medical image registration methods

Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set


Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Bayesian Importance of Features (BIF)

Copula for Instance-wise Feature Selection and Ranking


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


Re-entrancy attack patterns from our paper "Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks"

Smart Contract Vulnerabilities: Vulnerable Does Not Imply Exploited

RA: Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis

International Congress on Blockchain and Applications

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

RA: A Static Analysis Tool for Analyzing Re-Entrancy Attacks in Ethereum Smart Contracts

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


The code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. NeurIPS 2021.

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning


Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)

K-UNN: k-Space Interpolation With Untrained Neural Network

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI


A paper collection about automated graph learning

Automated Machine Learning on Graphs: A Survey

GraphPAS: Parallel Architecture Search for Graph Neural Networks

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

Automated Graph Machine Learning: Approaches, Libraries and Directions

Fitness landscape analysis of graph neural network architecture search spaces

Proceedings of the Genetic and Evolutionary Computation Conference

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study

Pacific Rim International Conference on Artificial Intelligence

ALGNN: Auto-Designed Lightweight Graph Neural Network


A dataset of functional and defective solar cells extracted from EL images of solar modules

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm

Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules

A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images

IOP Conference Series: Earth and Environmental Science

Identifying defective solar cells in electroluminescence images using deep feature representations

Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images

Corrigendum: GAN-Based Augmentation for Improving CNN Performance of Classification of Defective Photovoltaic Module Cells in Electroluminescence Images (IOP Conf. Ser.: Earth Environ. Sci. 354 012106)

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation

The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning


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


LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Fonduer: Knowledge Base Construction from Richly Formatted Data

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FreeDOM: A Transferable Neural Architecture for Structured Information Extraction on Web Documents

Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models

One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction

Visual Segmentation for Information Extraction from Heterogeneous Visually Rich Documents

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Improving Information Extraction from Visually Rich Documents using Visual Span Representations


Tools for Modeling Niches and Distributions of Species


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

Predicting global distributions of eukaryotic plankton communities from satellite data

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

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

Unveiling hidden eukaryotes: diversity of Endomyxa (Rhizaria) in coastal marine habitats

Global observation of plankton communities from space


Volumetric path tracer written in C++

Monte Carlo Methods for Volumetric Light Transport Simulation

Residual ratio tracking for estimating attenuation in participating media

International Conference on Computer Graphics and Interactive Techniques

Hero Wavelength Spectral Sampling

Production volume rendering

A null-scattering path integral formulation of light transport

Integral formulations of volumetric transmittance

Practical and controllable subsurface scattering for production path tracing


TLDR: Extreme Summarization of Scientific Documents

Domain Adaptation of Neural Machine Translation by Lexicon Induction

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Twist Decoding: Diverse Generators Guide Each Other


One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations


code for "Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification" in AAAI2022

Deep Residual Learning for Image Recognition

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification


McOpt is an algorithm that can efficiently solve multicommodity routing problems on networks

Multicommodity routing optimization for engineering networks

Designing optimal networks for multicommodity transport problem

Optimal transport with constraints: from mirror descent to classical mechanics


The Python toolkit for computing with string diagrams.

Quantum Natural Language Processing on Near-Term Quantum Computers

lambeq: An Efficient High-Level Python Library for Quantum NLP

DisCoPy: Monoidal Categories in Python

A gentle introduction to Quantum Natural Language Processing

Category Theory for Quantum Natural Language Processing

Categorical Tools for Natural Language Processing


Basic VAE flow using pytorch distributions

Categorical Reparameterization with Gumbel-Softmax

Auto-Encoding Variational Bayes

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

TensorFlow Distributions


code of paper "Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM"

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

Protecting Your LLMs with Information Bottleneck


Weight Agnostic Neural Networks

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction


Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022

Latent Outlier Exposure for Anomaly Detection with Contaminated Data

Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings


Green Finance and Environmental Risk


Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave

Real-Time Specular Highlight Removal Using Bilateral Filtering

Real-time highlight removal using intensity ratio.

A Survey of Specularity Removal Methods

Separation of reflection components by sparse non-negative matrix factorization

[papers] General Improvement Method of Specular Component Separation Using High-Emphasis Filter and Similarity Function

ITE Transactions on Media Technology and Applications

Analytical Survey of Highlight Detection in Color and Spectral Images

SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal

Specularity, Specular Reflectance


A sentiment analysis platform

Optimizing Word Segmentation for Downstream Task

Joint Optimization of Tokenization and Downstream Model

Word-level Perturbation Considering Word Length and Compositional Subwords

Findings of the Association for Computational Linguistics: ACL 2022


Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation


2017 NimbRo-OP2 hardware release

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

Grown-Up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks


Full-Glow: Fully conditional Glow for more realistic image generation

Structured Output Learning with Conditional Generative Flows

Generative Flows with Invertible Attentions


DeepVel

DeepVel: Deep learning for the estimation of horizontal velocities at the solar surface

Machine learning in solar physics

Inferring Plasma Flows at Granular and Supergranular Scales With a New Architecture for the DeepVel Neural Network

Frontiers in Astronomy and Space Sciences

The Importance of Horizontal Poynting Flux in the Solar Photosphere


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

The Characterization of R2R3-MYB Genes in Ammopiptanthus nanus Uncovers That the miR858-AnaMYB87 Module Mediates the Accumulation of Anthocyanin under Osmotic Stress

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

Genetic Variation of the Serine Acetyltransferase Gene Family for Sulfur Assimilation in Maize


A continually expanding collection of microbiome analysis tools

DADA2: High-resolution sample inference from Illumina amplicon data

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

A communal catalogue reveals Earth's multiscale microbial diversity

Zenodo (CERN European Organization for Nuclear Research)

Kraken: ultrafast metagenomic sequence classification using exact alignments

ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Differential abundance analysis for microbial marker-gene surveys

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data


Change detection of remote sensing images

STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images


Spectral Inference Networks: Unifying Deep and Spectral Learning

NeuralEF: Deconstructing Kernels by Deep Neural Networks


Official PyTorch implementation of CASS, from the following paper:  CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.

Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision


Implementation of EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning

Neural Question Generation from Text: A Preliminary Study

QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation


Categorical Reparameterization with Gumbel-Softmax

ListOps: A Diagnostic Dataset for Latent Tree Learning

Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator


GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''

Bias in machine learning software: why? how? what to do?

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Fairness Testing: A Comprehensive Survey and Analysis of Trends

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

Fair oversampling technique using heterogeneous clusters


Official code release for ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity (published at ICLR 2022)

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Automatic Spatially-aware Fashion Concept Discovery

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models


QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS

Product Quantization for Nearest Neighbor Search

IEEE transactions on pattern analysis and machine intelligence

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

The Inverted Multi-Index

Accelerated Nearest Neighbor Search with Quick ADC

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR'17)

Quicker ADC : Unlocking the Hidden Potential of Product Quantization With SIMD


Determining the RotAtion Count of pULsArs

Eight new millisecond pulsars from the first MeerKAT globular cluster census

Monthly Notices of the Royal Astronomical Society

An algorithm for determining the rotation count of pulsars

An in-depth investigation of 11 pulsars discovered by FAST

The High Time Resolution Universe Pulsar Survey - XVI. Discovery and timing of 40 pulsars from the southern Galactic plane.

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

HAL (Le Centre pour la Communication Scientifique Directe)

Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey

FAST early pulsar discoveries: Effelsberg follow-up

Timing of Eight Binary Millisecond Pulsars Found with Arecibo in Fermi-LAT Unidentified Sources

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

Discovery and Timing of Three Millisecond Pulsars in Radio and Gamma-Rays with the Giant Metrewave Radio Telescope and Fermi Large Area Telescope


Drug discovery screening by deep learning.

Intriguing properties of neural networks

FaceNet: A Unified Embedding for Face Recognition and Clustering

Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins


Sequence Modeling with Structured State Spaces

Efficiently Modeling Long Sequences with Structured State Spaces

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

HiPPO: Recurrent Memory with Optimal Polynomial Projections

Diagonal State Spaces are as Effective as Structured State Spaces

It's Raw! Audio Generation with State-Space Models

Diagonal State Space Augmented Transformers for Speech Recognition


An optimized log compression tool via iterative clustering [ASE'19]

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression

LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data

A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis


Uncertainty Quantification

SpinalNet: Deep Neural Network with Gradual Input

Reduction of Class Activation Uncertainty with Background Information

Uncertainty Aware Neural Network from Similarity and Sensitivity


Multi Exponential Relaxation Analysis toolbox for MATLAB

Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry

Double diffusion encoding and applications for biomedical imaging

Quantitative Multicomponent T2 Relaxation Showed Greater Sensitivity Than Flair Imaging to Detect Subtle Alterations at the Periphery of Lower Grade Gliomas

Non‐lesional white matter in relapsing–remitting multiple sclerosis assessed by multicomponent T2 relaxation


Scalable GP Adapter for Time Series Classification

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.


Chromatin-state discovery and genome annotation with ChromHMM

Universal annotation of the human genome through integration of over a thousand epigenomic datasets

Integrative pan cancer analysis reveals epigenomic variation in cancer type and cell specific chromatin domains

Double-strand break toxicity is chromatin context independent

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools


[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation


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


Adaptive multidimensional Monte Carlo integration.

Tenth-order electron anomalous magnetic moment: Contribution of diagrams without closed lepton loops

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Adaptive multidimensional integration: VEGAS enhanced

The first all-sky view of the Milky Way stellar halo with Gaia+2MASS RR Lyrae

Accelerated matrix element method with parallel computing

Improved information criteria for Bayesian model averaging in lattice field theory

Latest results from lattice N=4 supersymmetric Yang--Mills

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016)

Nonperturbative Infrared Finiteness in a Superrenormalizable Scalar Quantum Field Theory.

Perturbative QCD meets phase quenching: The pressure of cold Quark
  Matter

SIDIS-RC EvGen: A Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections

Discovery of the shell structure via break radii in the outer halo of the Milky Way


A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

Pay Attention to MLPs

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling


Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design"

Discovering Reinforcement Learning Algorithms

Discovering Temporally-Aware Reinforcement Learning Algorithms


Energy Sharing System


PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

Deep Residual Learning for Image Recognition

Neural Discrete Representation Learning

Theory and Experiments on Vector Quantized Autoencoders


Personality detection on multiparty dialogue

Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings

Text-based automatic personality prediction: a bibliographic review

A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots


A PyTorch implementation of the Variational approach for PU learning

A Variational Approach for Learning from Positive and Unlabeled Data

Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation


Venmo trasaction dataset for data analysis/visualization/anything

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

Allocating Stimulus Checks in Times of Crisis

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms

Dynamic Interventions for Networked Contagions


Quantum Circuit Optimizer based on SVD operation

Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices

Extending Python for Quantum-classical Computing via Quantum Just-in-time Compilation

QFactor: A Domain-Specific Optimizer for Quantum Circuit Instantiation

Approximate quantum gates compilation for superconducting transmon qubits with self-navigation algorithm


(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

How Do Vision Transformers Work?

Vector Quantized Bayesian Neural Network Inference for Data Streams


Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Spatial As Deep: Spatial CNN for Traffic Scene Understanding


MUSE: Modularizing Unsupervised Sense Embeddings

Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy

Word Sense Induction with Knowledge Distillation from BERT


Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

The proper care and feeding of CAMELS: How limited training data affects streamflow prediction

Global soil moisture data derived through machine learning trained with in-situ measurements

Earthquake Nowcasting with Deep Learning


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

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

The genome of a giant (trevally): Caranx ignobilis


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

Towards Semi-Supervised Semantics Understanding from Speech

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


ADC Performance Survey 1997-2024 (ISSCC & VLSI Circuit Symposium)

Parallel in-memory wireless computing

Continuous-Variable Quantum Key Distribution at 10 GBaud using an Integrated Photonic-Electronic Receiver

X-Former: In-Memory Acceleration of Transformers

Waveforms for sub-THz 6G: Design Guidelines

CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool

Spectral Versus Energy Efficiency in 6G: Impact of the Receiver Front-End

Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory
  Accelerator Design

Improved Likelihood Probability in MIMO Systems Using One-Bit ADCs

Photonic-Electronic Integrated Circuits for High-Performance Computing
  and AI Accelerator

The Impact of SAR-ADC Mismatch on Quantized Massive MU-MIMO Systems


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Bilinear Attention Networks

Towards VQA Models That Can Read

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?


Plasma waves and instabilities analysis tool, with both kinetic and multi-fluid dispersion relations.

PDRK: A General Kinetic Dispersion Relation Solver for Magnetized Plasma

等离子体科学和技术(英文版)

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization Calculations

Plasma wave propagation conditions analysis using the warm multi-fluid model


Laser Speckle Contrast Imaging Toolbox

Laser speckle contrast imaging in biomedical optics

Quantitative imaging of ischemic stroke through thinned skull in mice with Multi Exposure Speckle Imaging

Tissue perfusion measurements: multiple-exposure laser speckle analysis generates laser Doppler–like spectra

Sensitivity of laser speckle contrast imaging to flow perturbations in the cortex

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Directly measuring absolute flow speed by frequency-domain laser speckle imaging

Evaluating multi-exposure speckle imaging estimates of absolute autocorrelation times

Entropy analysis reveals a simple linear relation between laser speckle and blood flow.

Real-time monitoring of biomechanical activity in aphids by laser speckle contrast imaging

A novel highly efficient algorithm for laser speckle imaging


Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.


Parameter-Free Optimizers for Pytorch

A Modern Introduction to Online Learning

Coin Betting and Parameter-Free Online Learning

Training Deep Networks without Learning Rates Through Coin Betting

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Parameter-free Stochastic Optimization of Variationally Coherent Functions


For calculating Shapley values via linear regression.

A Unified Approach to Interpreting Model Predictions

Understanding Global Feature Contributions With Additive Importance Measures

Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression

FastSHAP: Real-Time Shapley Value Estimation

Shapley variable importance clouds for interpretable machine learning

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

Stochastic Amortization: A Unified Approach to Accelerate Feature and
  Data Attribution

Fast Shapley Value Estimation: A Unified Approach


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)


[ICASSP 2024] The official repo for Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

Towards the Detection of Diffusion Model Deepfakes

Bi-LORA: A Vision-Language Approach for Synthetic Image Detection


BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP


Verified compilation of space-efficient reversible circuits

Estimating the cost of generic quantum pre-image attacks on SHA-2 and SHA-3

Next Steps in Quantum Computing: Computer Science's Role

Verified Compilation of Space-Efficient Reversible Circuits


The winning solution to the The Higgs Boson Machine Learning Challenge.

Proceedings of the 2020 Scheme and Functional Programming Workshop

On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case

Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider


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

SciNews: From Scholarly Complexities to Public Narratives -- A Dataset
  for Scientific News Report Generation

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization


Computing various measures and generalization bounds on convolutional and fully connected networks

Exploring Generalization in Deep Learning

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Geometry of Optimization and Implicit Regularization in Deep Learning


Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimization

Koopman-Hopf Hamilton-Jacobi Reachability and Control

Conservative Linear Envelopes for High-Dimensional, Hamilton-Jacobi
  Reachability for Nonlinear Systems via the Hopf Formula


Codebase for plCoP, a Prolog Technology Reinforcement Learning Prover

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

The Role of Entropy in Guiding a Connection Prover

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications


Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection


This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"

Pruning Filters for Efficient ConvNets

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures


Polish BERT

HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish

Pre-training Polish Transformer-based Language Models at Scale

The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

International Workshop/Conference on Parsing Technologies

Detection of Criminal Texts for the Polish State Border Guard


Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)

Differentiable Causal Discovery from Interventional Data

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data


Code for the paper "Estimating Transfer Entropy via Copula Entropy"

copent: Estimating Copula Entropy and Transfer Entropy in R

Evaluating Independence and Conditional Independence Measures


PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

A Differential Entropy Estimator for Training Neural Networks

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space

Variational f-Divergence and Derangements for Discriminative Mutual Information Estimation


This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

Graph-based Semi-supervised Learning: A Comprehensive Review

Scalable Graph Embeddings via Sparse Transpose Proximities

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Adaptive Network Automata Modelling of Complex Networks

Network representation learning systematic review: ancestors and current development state

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


Driver loader for bypassing Windows x64 Driver Signature Enforcement

Acceleration of Statistical Detection of Zero-day Malware in the Memory Dump Using CUDA-enabled GPU Hardware

Microsoft Defender Will Be Defended: MemoryRanger Prevents Blinding Windows AV


This project aims to provide modular implementation and an easy pipeline of training and evaluation for SOTA semantic segmentation models.

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

Rethinking Atrous Convolution for Semantic Image Segmentation

Attention-guided Chained Context Aggregation for Semantic Segmentation


Matlab implementation of multi-view low-rank sparse subspace clustering

Multi-view low-rank sparse subspace clustering

Latent Complete Row Space Recovery for Multi-View Subspace Clustering

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching

A low-rank non-convex norm method for multiview graph clustering


Experiments with speech enhancement

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

Speech Denoising with Deep Feature Losses

Improved Speech Enhancement with the Wave-U-Net


Filteraugment: An Acoustic Environmental Data Augmentation Method

Heavily Augmented Sound Event Detection utilizing Weak Predictions

Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4


A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)

Representation Learning on Graphs with Jumping Knowledge Networks

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks


Source code for <Sequence-Level Training for Non-Autoregressive Neural Machine Translation>.

Sequence-Level Knowledge Distillation

Levenshtein Transformer

Relational Surrogate Loss Learning


Matlab functions to help with DVS calibration using the Caltech Camera Calibration Toolbox (from http://www.vision.caltech.edu/bouguetj/calib_doc/ )

How to Calibrate Your Event Camera

E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras


A simple OpenAI Gym environment for Neural Architecture Search (NAS)

Non-line-of-Sight Imaging via Neural Transient Fields

Learning to reinforcement learn for Neural Architecture Search

VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning


Desktop application for colouring/shading sequence alignments

Skd3 (human ClpB) is a potent mitochondrial protein disaggregase that is inactivated by 3-methylglutaconic aciduria-linked mutations

Dosage differences in 12-OXOPHYTODIENOATE REDUCTASE genes modulate wheat root growth

Somatostatin-type and allatostatin-C–type neuropeptides are paralogous and have opposing myoregulatory roles in an echinoderm

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

Dnj1 Promotes Virulence in Cryptococcus neoformans by Maintaining Robust Endoplasmic Reticulum Homeostasis Under Temperature Stress

Structural basis of lipid head group entry to the Kennedy pathway by FLVCR1

bioRxiv : the preprint server for biology

Functional characterization of Cinnamate 4-hydroxylase gene family in soybean (Glycine max)

Soybean AROGENATE DEHYDRATASES (GmADTs): involvement in the cytosolic isoflavonoid metabolon or trans-organelle continuity?


Machine learning and deep learning resources

A few useful things to know about machine learning

Deep Learning in Bioinformatics

Deep learning for computational biology

A guide to machine learning for biologists

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Breast Cancer Histopathological Image Classification: A Deep Learning Approach

A Deep Learning Framework for Predicting Response to Therapy in Cancer

A Guide on Deep Learning for Complex Trait Genomic Prediction


OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation


SpeechGLUE is a speech version of the GLUE benchmark, driven by text-to-speech.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

SUPERB: Speech processing Universal PERformance Benchmark

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?


(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Communication-Efficient Learning of Deep Networks from Decentralized Data

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Connecting Low-Loss Subspace for Personalized Federated Learning

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


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


Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Simple Black-box Adversarial Attacks

Gradient Aligned Attacks via a Few Queries


Collection of various scripts

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

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

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

Three Modes of Viral Adaption by the Heart

Can root-associated fungi mediate the impact of abiotic conditions on the growth of a High Arctic herb?


MATLAB Programming for Virtual Element Methods

A lowest-order locking-free nonconforming virtual element method based on the reduced integration technique for linear elasticity problems

Implementation of Polygonal Mesh Refinement in MATLAB

mVEM: A MATLAB Software Package for the Virtual Element Methods


[ECCV 2024 Best Paper Candidate] PointLLM: Empowering Large Language Models to Understand Point Clouds

3D-LLM: Injecting the 3D World into Large Language Models

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

LLaNA: Large Language and NeRF Assistant


Simulation tools for plasma chemistry

On the quasi-stationary approach to solve the electron Boltzmann equation in pulsed plasmas

The 2021 release of the Quantemol database (QDB) of plasma chemistries and reactions

Comparison between 1D radial and 0D global models for low-pressure oxygen DC glow discharges

Charged-particle transport models for global models

Particle Propagation and Electron Transport in Gases


A reimplementation of LastPyMile: A Python-based library to Identify the differences between build artifacts of PyPI packages and the respective source code repository

Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks

LastPyMile: identifying the discrepancy between sources and packages

Towards Using Source Code Repositories to Identify Software Supply Chain Attacks

Conference on Computer and Communications Security


Making Deep Q-learning methods robust to time discretization

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods

ACERAC: Efficient reinforcement learning in fine time discretization


DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score


a project for developing registration tools with convolutional neural networks

Dual-Stream Pyramid Registration Network

FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy

On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks


DAGs with NO TEARS: Continuous Optimization for Structure Learning

Learning Granger Causality for Hawkes Processes

THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences


Software Language Processing Suite

Guided Grammar Convergence

Supporting Meta-model-based Language Evolution and Rapid Prototyping
  with Automated Grammar Optimization


[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

Long-range Meta-path Search on Large-scale Heterogeneous Graphs


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

DialFact: A Benchmark for Fact-Checking in Dialogue

How Robust are Fact Checking Systems on Colloquial Claims?

North American Chapter of the Association for Computational Linguistics

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification

International Conference on Computational Linguistics

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)


[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)

Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning

Integrated monitoring of ice in selected Swiss lakes. Final project report

Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery

Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring

IEEE Transactions on Geoscience and Remote Sensing


GTree is a brain-wide tool for neuron tracing.

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction

Optimization of Traced Neuron Skeleton Using Lasso-Based Model

Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites


communication-efficient distributed coordinate ascent

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Adding vs. Averaging in Distributed Primal-Dual Optimization

Screening Rules for Convex Problems

DUAL-LOCO: Distributing Statistical Estimation Using Random Projections

LOCO: Distributing Ridge Regression with Random Projections

SCOPE: Scalable Composite Optimization for Learning on Spark


Testing Nerual Tangent Kernel (NTK) on small UCI datasets

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

On the Similarity between the Laplace and Neural Tangent Kernels

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

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

A Neural Tangent Kernel Perspective of Infinite Tree Ensembles

Near-Interpolators: Rapid Norm Growth and the Trade-Off between
  Interpolation and Generalization


Source code for the DeepViral paper

A generalized approach to predicting protein-protein interactions between virus and host

DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes

DeepViral: infectious disease phenotypes improve prediction of novel virus–host interactions

Prediction of novel virus–host interactions by integrating clinical symptoms and protein sequences


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

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

CUTS: Neural Causal Discovery from Irregular Time-Series Data

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

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

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Graph-based Virtual Sensing from Sparse and Partial Multivariate
  Observations


CogNet: a large-scale, high-quality cognate database for 338 languages, 1.07M words, and 8.1 million cognates

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology

Special Interest Group on Computational Morphology and Phonology Workshop

CogNet: a Large-Scale Cognate Database

Zenodo (CERN European Organization for Nuclear Research)

A large and evolving cognate database


A fuzzy Bruijn graph approach to long noisy reads assembly

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

Musa balbisiana genome reveals subgenome evolution and functional divergence

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

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

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

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

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

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

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

High-quality genome assembly of 'Cuiguan' pear (Pyrus pyrifolia) as a reference genome for identifying regulatory genes and epigenetic modifications responsible for bud dormancy


Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)

Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets

Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures

DAOC: Stable Clustering of Large Networks


Experiment code for the ACL 2020 paper "Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders".

Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary

SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation


MMD and Relative MMD test

A Test of Relative Similarity For Model Selection in Generative Models

A Non-Parametric Test to Detect Data-Copying in Generative Models

Fast Non-Parametric Tests of Relative Dependency and Similarity


Texture Analysis test tool for PET images

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

European journal of nuclear medicine and molecular imaging

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

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

International journal of radiation oncology, biology, physics

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

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

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

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

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

Three-dimensional positron emission tomography image texture analysis of esophageal squamous cell carcinoma: relationship between tumor 18F-fluorodeoxyglucose uptake heterogeneity, maximum standardized uptake value, and tumor stage.

The promise and limits of PET texture analysis

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


BFO (Brute-Force Optimizer), a Matlab package to solve unconstrained or bound-constrained optimization in continuous and/or discrete and/or categorical variables.

Efficient unconstrained black box optimization

Exploiting problem structure in derivative free optimization

Global and local information in structured derivative free optimization with BFO


[ACL 2024 Main Conference] Chinese commonsense benchmark for LLMs

Language Models are Multilingual Chain-of-Thought Reasoners

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Benchmarking Chinese Commonsense Reasoning of LLMs: From
  Chinese-Specifics to Reasoning-Memorization Correlations


Multivariate Gaussian distributions for Tensorflow.

Structured Uncertainty Prediction Networks

Training VAEs Under Structured Residuals

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance


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

Attention-based LSTM for Aspect-level Sentiment Classification

Empirical Methods in Natural Language Processing

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification


Comparative survey of multigraph integration methods

Gender differences in cortical morphological networks

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

Medical Image Computing and Computer-Assisted Intervention

Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping

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

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

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

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


My collection of light bioinformatics analysis pipelines for specific tasks

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Escape from Preferential Retention Following Repeated Whole Genome Duplications in Plants

A high-quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance

Genomic insights into the recent chromosome reduction of autopolyploid sugarcane Saccharum spontaneum

Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution

Comprehensive analysis of bZIP transcription factors uncovers their roles during dimorphic floret differentiation and stress response in Cleistogenes songorica

Genome-wide identification and expression analysis of the ERF transcription factor family in pineapple (Ananas comosus (L.) Merr.)

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

Identification, Characterization and Function of Orphan Genes Among the Current Cucurbitaceae Genomes

Muntjac chromosome evolution and architecture


10W首中文歌词数据库

ChipSong: A Controllable Lyric Generation System for Chinese Popular Song

Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for
  Boosting Metaphor Generation

Songs Across Borders: Singable and Controllable Neural Lyric Translation


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

CNN Architectures for Large-Scale Audio Classification

AST: Audio Spectrogram Transformer


PyTorch Lightning Implementations of Recent Satellite Image Classification !

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Remote Sensing Image Scene Classification: Benchmark and State of the Art

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

CoAtNet: Marrying Convolution and Attention for All Data Sizes


Domain Adaptation of Neural Machine Translation by Lexicon Induction

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Twist Decoding: Diverse Generators Guide Each Other


A Matlab toolbox for nonlinear optimization using symbolic tensor calculus

Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability and instability guarantees

����������������
: a toolbox to generate fast code to solve nonlinear constrained minimizations and compute Nash equilibria

An active learning method for solving competitive multi-agent decision-making and control problems


Sparse Filtering


This repository contains the code associated with our 2023 TMI paper "Latent Graph Representations for Critical View of Safety Assessment" and our MICCAI 2023 paper "Encoding Surgical Videos as Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning".

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT IX

Optimizing latent graph representations of surgical scenes for unseen domain generalization


EVAR ~ Evaluation package for Audio Representations

Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework

M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation


Benchmarking of Session-based Recommendation Approaches

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules

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

Inter-Session Modeling for Session-Based Recommendation

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce


Collection of AI resources to fight against Coronavirus (COVID-19)

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

Digital technology and COVID-19

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA

Artificial intelligence and the future of global health

The Role of Imaging in the Detection and Management of COVID-19: A Review

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic


VectorDefense: Vectorization as a Defense to Adversarial Examples --->

Towards Deep Learning Models Resistant to Adversarial Attacks

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium


MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023

ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation

Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations

Proceedings of the 5th Clinical Natural Language Processing Workshop

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers


Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

PROTES: Probabilistic Optimization with Tensor Sampling


This project is special for SemEval2020 task4 Commonsense Validation and Explanantion

Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

SemEval-2020 Task 4: Commonsense Validation and Explanation

Is this sentence valid? An Arabic Dataset for Commonsense Validation

A Benchmark Arabic Dataset for Commonsense Explanation

HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding

International Workshop on Semantic Evaluation

NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation


Mathematical notes and papers

Internal Universes in Models of Homotopy Type Theory

A cubical model of homotopy type theory

Strict universes for Grothendieck topoi

Sheaf semantics of termination-insensitive noninterference

A Cubical Language for Bishop Sets

Kripke-Joyal forcing for type theory and uniform fibrations

Denotational semantics of general store and polymorphism

Oracle modalities

Definable and Non-definable Notions of Structure

Double negation stable h-propositions in cubical sets


ProFound source finding and extraction

ProFound: Source Extraction and Application to Modern Survey Data

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

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

Monthly Notices of the Royal Astronomical Society

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

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

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

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

Radio source extraction with PROFOUND

JWST's PEARLS: A new lens model for ACT-CL J0102-4915, "El Gordo," and the first red supergiant star at cosmological distances discovered by JWST

Automated detectionof very low surface brightness galaxiesin the Virgo cluster


linkages from non-patent literature (NPL) references from USPTO patents since 1947 to academic papers since 1800 using Microsoft Academic Graph

Reliance on Science in Patenting


Rigorous free fermion entanglement renormalization from wavelet theory

Rigorous Free-Fermion Entanglement Renormalization from Wavelet Theory

Quantum Circuit Approximations and Entanglement Renormalization for the Dirac Field in 1+1 Dimensions

Bosonic entanglement renormalization circuits from wavelet theory


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

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

DiffuRec: A Diffusion Model for Sequential Recommendation

Collaborative Distillation for Top-N Recommendation

HAM: Hybrid Associations Models for Sequential Recommendation

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

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce

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

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

End-to-end Learnable Clustering for Intent Learning in Recommendation

Influential Recommender System


PyTorch Language Modeling Toolkit for Fast Weight Programmers

Linear Transformers Are Secretly Fast Weight Programmers

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers

Transformer with Fourier Integral Attentions

Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals

PIDformer: Transformer Meets Control Theory


A PyTorch implementation of Attention is all you need

Attention Is All You Need

Initialization and Regularization of Factorized Neural Layers

Double Path Networks for Sequence to Sequence Learning


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

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Monotonic Multihead Attention

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


A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is submitted to Scientific Reports (Nature) and the manuscript is uploaded to the arvix server(https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database( https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)

Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm

Biomedical signal processing and control

Computer Vision For COVID-19 Control: A Survey

Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images

Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph

Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review

Superpixel-based Domain-Knowledge Infusion in Computer Vision.


All code related to the paper: "A Copula Statistic for Measuring Nonlinear Multivariate Dependence"

Copula index for detecting dependence and monotonicity between stochastic signals

A Copula Statistic for Measuring Nonlinear Dependence with Application to Feature Selection in Machine Learning

International Journal of Advanced Computer Science and Applications


The SOLAR blackbox optimization problem

Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Sequential stochastic blackbox optimization with zeroth-order gradient estimators

Hierarchically constrained multi-fidelity blackbox optimization


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

Leveraging Adversarial Examples to Quantify Membership Information Leakage

Membership Inference Attacks via Adversarial Examples


Pre-trained Word2Vec models for Vietnamese

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit

North American Chapter of the Association for Computational Linguistics

Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model

A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamese

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


WHAT-IF (Water, Hydropower, Agriculture Tool for Investment and Financing) decision support tool

WHAT-IF: an open-source decision support tool for water infrastructure investment planning within the water–energy–food–climate nexus

Nexus vs. Silo Investment Planning Under Uncertainty


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

GenCompareSum: a hybrid unsupervised summarization method using salience

Workshop on Biomedical Natural Language Processing

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


Paper list of KBQA

Core techniques of question answering systems over knowledge bases: a survey

Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision

Learning to Answer Complex Questions over Knowledge Bases with Query Composition

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

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

International Conference on Information and Knowledge Management

A Survey of Question Answering over Knowledge Base

KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: KNOWLEDGE COMPUTING AND LANGUAGE UNDERSTANDING

Introduction to neural network-based question answering over knowledge graphs

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems


Collaborative Memory Network for Recommendation Systems, SIGIR 2018

International ACM SIGIR Conference on Research and Development in Information Retrieval

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Consistency-Aware Recommendation for User-Generated Item List Continuation

Neighborhood Attentional Memory Networks for Recommendation Systems


DEEP-BO for Hyperparameter Optimization of Deep Networks

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search


Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks

Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization

DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

End-to-end speaker diarization with transformer

Probabilistic Back-ends for Online Speaker Recognition and Clustering


L1000 peak deconvolution based on Bayesian analysis

A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing

A Bayesian approach to accurate and robust signature detection on LINCS L1000 data

Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing

Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses

Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing

Model-Free Error Assessment for Breadth-First Studies, with Applications to Cell-Perturbation Experiments


FedGroup, A Clustered Federated Learning framework based on Tensorflow

Federated Optimization in Heterogeneous Networks

Multi-center federated learning: clients clustering for better personalization

FedGroup: Efficient Federated Learning via Decomposed Similarity-Based Clustering


Source code and datasets of "CANE: Context-Aware Network  Embedding for Relation Modeling"

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

Improving Textual Network Embedding with Global Attention via Optimal Transport

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors

A Deep Neural Information Fusion Architecture for Textual Network Embeddings


A Python library for blind source separation.

Stable and fast update rules for independent vector analysis based on auxiliary function technique

Workshop on Applications of Signal Processing to Audio and Acoustics

Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization

IEEE/ACM Transactions on Audio, Speech, and Language Processing

An auxiliary-function approach to online independent vector analysis for real-time blind source separation

Joint Workshop on Hands-free Speech Communication and Microphone Arrays

Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices


MMDetection: Open MMLab Detection Toolbox and Benchmark

SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving

PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios


Creative Commons Attribution 4.0 International

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

RewardBench: Evaluating Reward Models for Language Modeling

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


Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Poisoned classifiers are not only backdoored, they are fundamentally broken

A Mask-Based Adversarial Defense Scheme

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers


VMD plugin to calculate and visualize clusters of conformations for a trajectory

Probing protein flexibility reveals a mechanism for selective promiscuity

Conformational and Immunogenicity Studies of the Shigella flexneri Serogroup 6 O-Antigen: The Effect of O-Acetylation

Subunit-Specific Photocontrol of Glycine Receptors by Azobenzene-Nitrazepam Photoswitcher


Record my work in transfer learning during my postgraduate period.

Improved Training of Wasserstein GANs

Learning Transferable Features with Deep Adaptation Networks

Wasserstein GAN

Deep Domain Confusion: Maximizing for Domain Invariance

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Deep multi-Wasserstein unsupervised domain adaptation


A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R package with an API around it.

Benchmarking in Optimization: Best Practice and Open Issues

An ant colony optimization algorithm for job shop scheduling problem

A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problems

Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling

Solving the Job Shop Scheduling Problem with Ant Colony Optimization


Full-Shape Power Spectrum and Bispectrum Likelihoods

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

Consistency of effective field theory analyses of the BOSS power spectrum

Ultra-light axions and the S_8 tension: joint constraints from the cosmic microwave background and galaxy clustering

The state of the dark energy equation of state circa 2023

Determining the Hubble Constant without the Sound Horizon: A $3.6\%$ Constraint on $H_0$ from Galaxy Surveys, CMB Lensing and Supernovae

Full-shape BOSS constraints on dark matter interacting with dark radiation and lifting the S8 tension

Self-interacting neutrinos in light of large-scale structure data

BOSS Constraints on Massive Particles during Inflation: The Cosmological
  Collider in Action

Suppression without Thawing: Constraining Structure Formation and Dark
  Energy with Galaxy Clustering

Neutrino Mass Constraint from an Implicit Likelihood Analysis of BOSS Voids


Kepler Science Data Processing Pipeline

Planetary Candidates Observed by Kepler. VIII. A Fully Automated Catalog with Measured Completeness and Reliability Based on Data Release 25

The Astrophysical journal. Supplement series

Kepler Data Validation I-Architecture, Diagnostic Tests, and Data Products for Vetting Transiting Planet Candidates

Publications of the Astronomical Society of the Pacific

Kepler Data Validation II–Transit Model Fitting and Multiple-planet Search

Zodiacal Exoplanets in Time (ZEIT). VI. A Three-planet System in the Hyades Cluster Including an Earth-sized Planet

Discovery and Vetting of Exoplanets. I. Benchmarking K2 Vetting Tools

Measuring Transit Signal Recovery in the Kepler Pipeline. IV. Completeness of the DR25 Planet Candidate Catalog

Re-evaluating Small Long-period Confirmed Planets from Kepler

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


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

A Deep-Discrete Learning Framework for Spherical Surface Registration

SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration


Generating Human Skeletons with Mutual Actions

Image-to-Image Translation with Conditional Adversarial Networks

A U-Net Based Discriminator for Generative Adversarial Networks

Human Action Generation with Generative Adversarial Networks


node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling


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

EmptyHeaded: A Relational Engine for Graph Processing

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

Graphflow: An Active Graph Database

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

Low-Latency Graph Streaming Using Compressed Purely-Functional Trees

Time-evolving graph processing at scale

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

GPU-Accelerated Subgraph Enumeration on Partitioned Graphs

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

Combining Worst-Case Optimal and Traditional Binary Join Processing


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

Neural Ordinary Differential Equations

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

Compositional Attention Networks for Machine Reasoning


Proximal Mean-field for Neural Network Quantization

Training Binary Neural Networks using the Bayesian Learning Rule

Mirror Descent View for Neural Network Quantization


OpenGAN: Open Set Generative Adversarial Networks

Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification


Handy scripts for SPM

Machine learning‐based multimodal prediction of language outcomes in chronic aphasia

Effects of eight neuropsychiatric copy number variants on human brain structure

Perfusion-Phase [18F]THK5351 Tau-PET Imaging as a Surrogate Marker for Neurodegeneration

Canonical Sentence Processing and the Inferior Frontal Cortex: Is There a Connection?

Neurobiology of language (Cambridge, Mass.)

Neuropsychiatric copy number variants exert shared effects on human brain structure

Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity

Discourse- and lesion-based aphasia quotient estimation using machine learning

Locus coeruleus activity while awake is associated with REM sleep quality in older individuals


DeepInspect code release

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

MixTrain: Scalable Training of Verifiably Robust Neural Networks

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Testing DNN Image Classifiers for Confusion & Bias Errors

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


Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

Hard Negative Mixing for Contrastive Learning

ICML - Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

International Conference on Machine Learning

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

Contrastive Attraction and Contrastive Repulsion for Representation Learning

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning


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

Attention Is All You Need

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

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

nerblackbox: A High-level Library for Named Entity Recognition in Python


Unsupervised Multilingual Word Embeddings (EMNLP 2018)

Should All Cross-Lingual Embeddings Speak English?

Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs

North American Chapter of the Association for Computational Linguistics

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

Empirical Methods in Natural Language Processing

A Simple Approach to Learning Unsupervised Multilingual Embeddings


Python toolbox for phenotype analysis of arrayed microbial colonies

Pyphe, a python toolbox for assessing microbial growth and cell viability in high-throughput colony screens

Functional profiling of long intergenic non-coding RNAs in fission yeast

High-Throughput, High-Precision Colony Phenotyping with Pyphe.


Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks


Generating non-stationary multi-sensor signals under a spatial coherence constraint

Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays

Attention-based multi-channel speaker verification with ad-hoc microphone arrays

Multi-Channel Far-Field Speaker Verification with Large-Scale Ad-hoc Microphone Arrays

Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer


Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles

Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles

LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles


A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach


Entropy estimator

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation

INSPECTRE: Privately Estimating the Unseen

Efficient Bayesian network structure learning via local Markov boundary search

Neural Joint Entropy Estimation

Statistical Inference in the Differential Privacy Model


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

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

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

A Bayesian Approach to Robust Inverse Reinforcement Learning


Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga

Preferential Bayesian optimisation with Skew Gaussian Processes

Skew Gaussian Processes for Classification

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes


Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Bag of Tricks for Image Classification with Convolutional Neural Networks

Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge


Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Distributionally Adaptive Meta Reinforcement Learning

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning


Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation

Malware Detection by Eating a Whole EXE

Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection


Software framework for vision-based quadrotor multi-robot systems

A Reliable Open-Source System Architecture for the Fast Designing and Prototyping of Autonomous Multi-UAV Systems: Simulation and Experimentation

Journal of Intelligent and Robotic Systems

A system for the design and development of vision-based multi-robot quadrotor swarms

International Conference on Unmanned Aircraft Systems

A Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition

A vision based aerial robot solution for the Mission 7 of the International Aerial Robotics Competition

Visual Quadrotor Swarm for the IMAV 2013 Indoor Competition

ROBOT2013: First Iberian Robotics Conference


A Computational Workflow for Designing Libraries of sgRNAs for CRISPR-Mediated Base Editing, and much more

Expanding the CRISPR Toolbox in Zebrafish for Studying Development and Disease

Frontiers in cell and developmental biology

beditor: A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing

CRISPR-Cas Genome Editing Technique for Fish Disease Management: Current Study and Future Perspective


Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

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

Dynamic Routing Between Capsules


Co-evolution of agents and environments in GVG-AI

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

Procedural Content Generation through Quality Diversity

IEEE Computational Intelligence Magazine

Co-generation of game levels and game-playing agents


Implementation of the Deep Frank-Wolfe Algorithm  -- Pytorch

Training Neural Networks for and by Interpolation

Deep Frank-Wolfe For Neural Network Optimization

A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance

A Stochastic Bundle Method for Interpolating Networks


HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

PaStaNet: Toward Human Activity Knowledge Engine

HAKE: Human Activity Knowledge Engine

HAKE: A Knowledge Engine Foundation for Human Activity Understanding


[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org/content/10.1101/531830v2

Functional connectivity in resting-state fMRI: Is linear correlation sufficient?

Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome

Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions

Model-based whole-brain effective connectivity to study distributed cognition in health and disease

Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity


CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://github.com/Verified-Intelligence/auto_LiRPA instead)

Intriguing properties of neural networks

Provable defenses against adversarial examples via the convex outer adversarial polytope

Efficient Neural Network Robustness Certification with General Activation Functions


Bilinear attention networks for visual question answering

Bilinear Attention Networks

Cycle-Consistency for Robust Visual Question Answering

Nougat: Neural Optical Understanding for Academic Documents

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

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings

Learning from Lexical Perturbations for Consistent Visual Question Answering

Weakly supervised cross-domain alignment with optimal transport

Guiding Visual Question Answering with Attention Priors


Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition"

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

Spiking Neural Networks for Visual Place Recognition Via Weighted Neuronal Assignments

Applications of Spiking Neural Networks in Visual Place Recognition


LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning

Stochastic trust region inexact Newton method for large-scale machine learning

International Journal of Machine Learning and Cybernetics


The Mingled Structured Predictor

A Two-Step Approach for Implicit Event Argument Detection

Meeting of the Association for Computational Linguistics

A Survey of Active Learning for Natural Language Processing

Comparing Span Extraction Methods for Semantic Role Labeling

SPNLP 2021: THE 5TH WORKSHOP ON STRUCTURED PREDICTION FOR NLP

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying

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

On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling

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


[NeurIPS XAIA & Springer] Code and notebooks to paper "A Fresh Look at Sanity Checks for Saliency Maps"

Sanity Checks for Saliency Maps

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test


Accompanying repository of our AAAI-20 paper "Fine-Grained Argument Unit Recognition and Classification."

ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario

Active Learning for Argument Mining: A Practical Approach


Real-Time Spherical Array Renderer for binaural reproduction in Python