This contains the dataset for comparing scRNA-seq analysis methods

Flexible experimental designs for valid single-cell RNA-sequencing experiments allowing batch effects correction

PsiNorm: a scalable normalization for single-cell RNA-seq data

Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations


Simulation framework for customs fraud detection using import declarations.

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection

Active Learning for Human-in-the-Loop Customs Inspection

Customs Fraud Detection in the Presence of Concept Drift


Tomofast-x is a 3D parallel inversion platform to run single domain or joint inversion of gravity and magnetic data.

Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization

Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis

Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data

Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging

Parallel three-dimensional electrical capacitance data imaging using a nonlinear inversion algorithm and Lp norm-based model regularization

Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code

Three-dimensional gravity anomaly data inversion in the Pyrenees using compressional seismic velocity model as structural similarity constraints

Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application


A python code to calculate the conversion probability between photons and axions / axionlike particles

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Journal of Cosmology and Astroparticle Physics

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

gammaALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical environments

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Search for the imprint of axion-like particles in the highest-energy photons of hard γ-ray blazars

Relevance of jet magnetic field structure for blazar axionlike particle searches

Searching for Axion-Like Particles from Core-Collapse Supernovae with Fermi LAT's Low Energy Technique

Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars

Axion-like Particle Searches with IACTs

Relevance of photon-photon dispersion within the jet for blazar axionlike particle searches

CTA sensitivity for probing cosmology and fundamental physics with gamma rays


R Package growthrates

Altered cohesin dynamics and H3K9 modifications contribute to mitotic defects in the cbf11Δ lipid metabolism mutant.

TisB Protein Protects Escherichia coli Cells Suffering Massive DNA Damage from Environmental Toxic Compounds

Novel Asaia bogorensis Signal Sequences for Plasmodium Inhibition in Anopheles stephensi

An evaluation of fusion partner proteins for paratransgenesis in Asaia bogorensis

Author Correction: A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism

PhcX Is a LqsR-family response regulator that contributes to Ralstonia solanacearum virulence and regulates multiple virulence factors


A list of NLP resources focused on event extraction task

EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

Journal of bioinformatics and computational biology

Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

Coreference based event-argument relation extraction on biomedical text

Wide coverage biomedical event extraction using multiple partially overlapping corpora

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

Word sense disambiguation for event trigger word detection

Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics

EFFECTIVE BIO-EVENT EXTRACTION USING TRIGGER WORDS AND SYNTACTIC DEPENDENCIES

International Conference on Climate Informatics

Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks

Learning Target-Dependent Sentence Representations for Chinese Event Detection

Exploiting a More Global Context for Event Detection Through Bootstrapping


C++/CUDA GPU pulsar searching library

The SUrvey for Pulsars and Extragalactic Radio Bursts - I. Survey description and overview

Monthly Notices of the Royal Astronomical Society

Pulsar–black hole binaries: prospects for new gravity tests with future radio telescopes

The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing

THE GMRT HIGH RESOLUTION SOUTHERN SKY SURVEY FOR PULSARS AND TRANSIENTS. I. SURVEY DESCRIPTION AND INITIAL DISCOVERIES

IQRM: real-time adaptive RFI masking for radio transient and pulsar searches

Discovery of ASKAP J173608.2–321635 as a Highly Polarized Transient Point Source with the Australian SKA Pathfinder

A framework for assessing the performance of pulsar search pipelines

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

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

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


DRAM Bender is the first open source DRAM testing infrastructure that can be used to easily and comprehensively test state-of-the-art HBM2 chips and DDR4 modules of different form factors. Six prototypes are available on different FPGA boards. Described in our preprint: https://arxiv.org/pdf/2211.05838.pdf

Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors

Retrospective: An Experimental Study of Data Retention Behavior in Modern DRAM Devices: Implications for Retention Time Profiling Mechanisms

DRAM Bender: An Extensible and Versatile FPGA-Based Infrastructure to Easily Test State-of-the-Art DRAM Chips

PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips

Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM Operation


Arduino Library for AES Encryption (source based on avr-crypto-lib)

A survey of secure middleware for the Internet of Things

A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things

Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller

Enhancing Privacy in the Internet of Vehicles via Hyperelliptic Curve Cryptography


Semi-automated pipeline for lens modelling based on lenstronomy.

TDCOSMO IV: Hierarchical time-delay cosmography -- joint inference of the Hubble constant and galaxy density profiles

Dark matter haloes of massive elliptical galaxies at z ∼ 0.2 are well described by the Navarro–Frenk–White profile

SLITRONOMY: Towards a fully wavelet-based strong lensing inversion technique

Project Dinos I: A joint lensing-dynamics constraint on the deviation from the power law in the mass profile of massive ellipticals


Research on Video Compression

End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression

Flexible-Rate Learned Hierarchical Bi-Directional Video Compression with Motion Refinement and Frame-Level Bit Allocation

Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression


More than a hundred strange attractors

Datasheets for Datasets

Chaos as an interpretable benchmark for forecasting and data-driven modelling

Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems

Model scale versus domain knowledge in statistical forecasting of chaotic systems

Machine Learning for predicting chaotic systems

Zero-shot forecasting of chaotic systems


Check whether targets are in the field of view of NASA's K2 space telescope

The K2 Galactic Archaeology Program: Overview, target selection, and survey properties

Building and Calibrating the Binary Star Population Using Kepler Data

The Astrophysical Journal Supplement Series

Target selection of classical pulsating variables for space-based photometry


NIMH Macaque Template

A synergistic core for human brain evolution and cognition

A comprehensive macaque fMRI pipeline and hierarchical atlas

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Large-scale comparative neuroimaging: Where are we and what do we need?

Cortex; a journal devoted to the study of the nervous system and behavior

Body map proto-organization in newborn macaques

An open resource for nonhuman primate imaging

Systematic cortical thickness and curvature patterns in primates

The representation of time windows in primate auditory cortex


Port of SPGL1 to python

The importance of phase in complex compressive sensing

Interferometric Lensless Imaging: Rank-One Projections of Image Frequencies With Speckle Illuminations

Keep the phase! Signal recovery in phase-only compressive sensing


Functions to manipulate and visualize microbial community data

Comparing the Healthy Nose and Nasopharynx Microbiota Reveals Continuity As Well As Niche-Specificity

Anterior Nares Diversity and Pathobionts Represent Sinus Microbiome in Chronic Rhinosinusitis

The microbiome of the invertebrate model host Galleria mellonella is dominated by Enterococcus

Cotton and Surgical Face Masks in Community Settings: Bacterial Contamination and Face Mask Hygiene

Selective targeting of skin pathobionts and inflammation with topically applied lactobacilli

Microbial enrichment and storage for metagenomics of vaginal, skin, and saliva samples

The nasal mutualist Dolosigranulum pigrum AMBR11 supports homeostasis via multiple mechanisms

Spontaneous Riboflavin-Overproducing Limosilactobacillus reuteri for Biofortification of Fermented Foods

Impacts of Menstruation, Community Type, and an Oral Yeast Probiotic on the Vaginal Microbiome

Leaf side determines the relative importance of dispersal versus host filtering in the phyllosphere microbiome


ULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP

Universal Language Model Fine-tuning for Text Classification

Regularizing and Optimizing LSTM Language Models

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

Word Similarity Datasets for Thai: Construction and Evaluation

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

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information


Creative Commons Attribution 4.0 International

Primer schemes for real-time genome epidemiology

Two-component spike nanoparticle vaccine protects macaques from SARS-CoV-2 infection

Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol

COVA1-18 neutralizing antibody protects against SARS-CoV-2 in three preclinical models

Detection and Characterisation of SARS-CoV-2 in Eastern Province of Zambia: A Retrospective Genomic Surveillance Study

International Journal of Molecular Sciences

Wastewater Surveillance of SARS-CoV-2 in Zambia: An Early Warning Tool


Distributed-memory, double-precision, polar decomposition (QDWH/ZOLO-PD) of a dense matrix, svd (QDWH/ZOLOPD-SVD) of a dense matrix

Stable and Efficient Spectral Divide and Conquer Algorithms for the Symmetric Eigenvalue Decomposition and the SVD

A High Performance QDWH-SVD Solver Using Hardware Accelerators

ACM Transactions on Mathematical Software

High Performance Polar Decomposition on Distributed Memory Systems


Sparse Gaussian Process Potentials

Sparse Gaussian process potentials: Application to lithium diffusivity in superionic conducting solid electrolytes

A Sparse Bayesian Committee Machine Potential for Hydrocarbons


Mesh Library (MeshLib) - A collection of  C++ fundamental libraries for surface processing

A cortical shape-adaptive approach to local gyrification index

Hierarchical spherical deformation for cortical surface registration

TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction

Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training

Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization

Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development

Medical Image Computing and Computer-Assisted Intervention

Hierarchical Spherical Deformation for Shape Correspondence


SMILI: Sparse Modeling Imaging Library for Interferometry

First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole

Black Hole Spin Signature in the Black Hole Shadow of M87 in the Flaring State

A ring-like accretion structure in M87 connecting its black hole and jet

Imaging black holes and jets with a VLBI array including multiple space-based telescopes

The Intrinsic Structure of Sagittarius A* at 1.3 cm and 7 mm

Filamentary structures as the origin of blazar jet radio variability

Software and Techniques for VLBI Data Processing and Analysis

Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration

Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration

Exploring Regularized Maximum Likelihood Reconstruction for Stellar Imaging with the ngVLA


library for fair auditing and learning of classifiers with respect to rich subgroup fairness.

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

An Empirical Study of Rich Subgroup Fairness for Machine Learning

Ensuring Fairness Beyond the Training Data

Genetic programming approaches to learning fair classifiers

Genetic and Evolutionary Computation Conference

Locating disparities in machine learning

Auditing Predictive Models for Intersectional Biases

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms


The GYRE Stellar Oscillation Code

A calibration point for stellar evolution from massive star asteroseismology

On The Impact of 22Ne On The Pulsation Periods of Carbon-Oxygen White Dwarfs With Helium Dominated Atmospheres

Zenodo (CERN European Organization for Nuclear Research)

Improved asymptotic expressions for the eigenvalues of Laplace’s tidal equations

On asymmetric dark matter constraints from the asteroseismology of a subgiant star

Monthly notices of the Royal Astronomical Society

Seismic Signatures of the 12C(α, γ)16O Reaction Rate in White Dwarf Models with Overshooting


A repository for financial fraud detection

Credit Card Fraud Detection Using Convolutional Neural Networks

NEURAL INFORMATION PROCESSING, ICONIP 2016, PT III

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention

IEEE Transactions on Knowledge and Data Engineering

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection

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

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 12


Single-cell data analysis

A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation

Efficient and scalable integration of single-cell data using domain-adversarial and variational approximation

Scbean: a python library for single-cell multi-omics data analysis


Flood Python Toolbox

FLOMPY: An Open-Source Toolbox for Floodwater Mapping Using Sentinel-1 Intensity Time Series


Fast N-body gravitational force and potential in Python

A model for the formation of stellar associations and clusters from giant molecular clouds

Evolution of giant molecular clouds across cosmic time

Pressure balance in the multiphase ISM of cosmologically simulated disc galaxies

Morphological decomposition of TNG50 galaxies: methodology and catalogue

A two-phase model of galaxy formation: I. The growth of galaxies and supermassive black holes

Connection between galaxy morphology and dark-matter halo structure I: a
  running threshold for thin discs and size predictors from the dark sector

Angular momentum transfer in cosmological simulations of Milky Way-mass discs

LMGC90: a Contact Dynamics open source code for the simulation of granular asteroid with realistic regolith shapes. Application to the accretion process


This is the repository of the NEMESIS/RADTRANS project. It is described on the associated web page listed here.

Hazy Blue Worlds: A Holistic Aerosol Model for Uranus and Neptune, Including Dark Spots

Journal of geophysical research. Planets

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b

Spectral determination of the colour and vertical structure of dark spots in Neptune’s atmosphere

Saturn's Atmosphere in Northern Summer Revealed by JWST/MIRI

Journal of Geophysical Research: Planets

A warm Neptune’s methane reveals core mass and vigorous atmospheric mixing


MultiZone® Security TEE is the quick and safe way to add security and separation to any RISC-V processors. The RISC-V standard ISA doesn't define TrustZone-like primitives to provide hardware separation. To shield critical functionality from untrusted third-party components, MultiZone provides hardware-enforced, software-defined separation of multi


Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Deep Learning for Anomaly Detection: A Review

Graph-based Anomaly Detection and Description: A Survey

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

Graph-Based Fraud Detection in the Face of Camouflage

Community Discovery in Dynamic Networks

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

International Conference on Information and Knowledge Management

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Anomaly detection in dynamic networks: a survey

Wiley Interdisciplinary Reviews Computational Statistics

A comprehensive survey of anomaly detection techniques for high dimensional big data


Generate fully parametric face images from the Basel Face Model 2017

Morphable Face Models - An Open Framework

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems

Training Deep Face Recognition Systems with Synthetic Data

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection


POLAR official tool

POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems

POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems

Bridging Dimensions: Confident Reachability for High-Dimensional Controllers


Combining gravitational wave harmonics for efficient evaluation of likelihood

Removing degeneracy and multimodality in gravitational wave source parameters

New binary black hole mergers in the LIGO-Virgo O3b data

New black hole mergers in the LIGO-Virgo O3 data from a gravitational wave search including higher-order harmonics

New search pipeline for gravitational waves with higher-order modes using mode-by-mode filtering

Fast marginalization algorithm for optimizing gravitational wave
  detection, parameter estimation and sky localization


A compressed alternative to the Java BitSet class

Consistently faster and smaller compressed bitmaps with Roaring

Compressed bitmap indexes: beyond unions and intersections

Threshold and Symmetric Functions over Bitmaps

Efficient Offline Monitoring of Linear Temporal Logic with Bit Vectors


A package for Gaussian random field generation in Julia

Sparse Cholesky factorization by Kullback-Leibler minimization

On the Selection of Random Field Evaluation Points in the p-MLQMC Method

Physics-embedded inverse analysis with automatic differentiation for the earth's subsurface


:snake:  mecab-python. you can find original version here:http://taku910.github.io/mecab/

fugashi, a Tool for Tokenizing Japanese in Python

Democratizing Neural Machine Translation with OPUS-MT

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding

Automatic Summarization for Academic Articles using Deep Learning and Reinforcement Learning with Viewpoints

The International FLAIRS Conference Proceedings


The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Unmasking Clever Hans predictors and assessing what machines really learn

"What is relevant in a text document?": An interpretable machine learning approach

Explaining the unique nature of individual gait patterns with deep learning

Towards Best Practice in Explaining Neural Network Decisions with LRP

Explaining decisions of deep neural networks used for fish age prediction


Real-time face swap for PC streaming or video calls

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

Deepfake CAPTCHA: A Method for Preventing Fake Calls

Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and Solutions

Detection of Real-Time Deepfakes in Video Conferencing with Active Probing and Corneal Reflection

Discussion Paper: The Threat of Real Time Deepfakes


Gravitational-wave Electromagnetic Lightcurves

A kilonova as the electromagnetic counterpart to a gravitational-wave source

Constraints on the neutron star equation of state from AT2017gfo using radiative transfer simulations

A luminosity distribution for kilonovae based on short gamma-ray burst afterglows

Implications of the search for optical counterparts during the second part of the Advanced LIGO's and Advanced Virgo's third observing run: lessons learned for future follow-up observations

Monthly Notices of the Royal Astronomical Society

Toward Rapid Transient Identification and Characterization of Kilonovae

Measuring the Hubble constant with a sample of kilonovae

Predicting electromagnetic counterparts using low-latency gravitational-wave data products

Multi-messenger constraints on the neutron-star equation of state and the Hubble constant -- Data and Codes


Nanos6 is a runtime that implements the OmpSs-2 parallel programming model, developed by the System Tools and Advanced Runtimes (STAR) group at the Barcelona Supercomputing Center.

Advanced synchronization techniques for task-based runtime systems

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

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

International Conference on High Performance Computing

nOS-V: Co-Executing HPC Applications Using System-Wide Task Scheduling


a portable and fast pairing-based cryptography library

vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases

Non-Interactive Private Decision Tree Evaluation

Multi-Zone Authentication and Privacy-Preserving Protocol (MAPP) Based on the Bilinear Pairing Cryptography for 5G-V2X

ZPiE: Zero-Knowledge Proofs in Embedded Systems

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

Key-Aggregate Searchable Encryption, Revisited: Formal Foundations for Cloud Applications, and Their Implementation

Cryptographic Protocols for Confidentiality, Authenticity and Privacy on Constrained Devices

International Conference on Ultra Modern Telecommunications

Privacy ABCs: Now Ready for Your Wallets!

IEEE International Conference on Pervasive Computing and Communications

zkLLM: Zero Knowledge Proofs for Large Language Models

Pisces: Private and Compliable Cryptocurrency Exchange


RWOT7 in Toronto, Canada (September 2018)

Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials

Sovrin: An Identity Metasystem for Self-Sovereign Identity

Self-Sovereign Identity in a World of Authentication: Architecture and Domain Usecases


Learning Transferable Visual Models From Natural Language Supervision

DINOv2: Learning Robust Visual Features without Supervision

Learning Vision from Models Rivals Learning Vision from Data


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Explainable Artificial Intelligence in CyberSecurity: A Survey

Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems

Physical Assessment of an SDN-Based Security Framework for DDoS Attack Mitigation: Introducing the SDN-SlowRate-DDoS Dataset

Attack vs Benign Network Intrusion Traffic Classification

Methodology for Collecting a Training Dataset for an Intrusion Detection Model

Труды Института системного программирования РАН

Zero-day DDoS Attack Detection


A novel hybrid method for generating molecules with desired property scores.

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

Deep Graph Generators: A Survey

Reinforcement learning on graphs: A survey


Query-Relevant Images Jailbreak Large Multi-Modal Models

FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts

Jailbreaking Attack against Multimodal Large Language Model

Images are Achilles' Heel of Alignment: Exploiting Visual
  Vulnerabilities for Jailbreaking Multimodal Large Language Models


This repository is  the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

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

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion

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


Learnable Ophthalmology SAM

Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence

SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image


Library implementing the Fan-Vercauteren homomorphic encryption scheme

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

SoK: Fully Homomorphic Encryption Compilers

A systematic review of homomorphic encryption and its contributions in healthcare industry

Somewhat/Fully Homomorphic Encryption: Implementation Progresses and Challenges

Zenodo (CERN European Organization for Nuclear Research)

Road Distance Computation Using Homomorphic Encryption in Road Networks

Computers, materials & continua/Computers, materials & continua (Print)

A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption

Hail the Closest Driver on Roads: Privacy-Preserving Ride Matching in Online Ride Hailing Services

Encrypted Operator Computing: a novel scheme for computation on encrypted data

Wildest Dreams: Reproducible Research in Privacy-preserving Neural
  Network Training


A tool for visualisation of gene set over-representation analysis (GSOA).

GSOAP: a tool for visualization of gene set over-representation analysis

Identification of Stemness-Related Genes for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma by Integrated Bioinformatics Analysis

Frontiers in cell and developmental biology

Identification of Key Immune-Related Genes in the Progression of Septic Shock


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

Weakly Supervised Text Classification using Supervision Signals from a Language Model

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

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


Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Robust Visual Question Answering: Datasets, Methods, and Future Challenges


Masked ConditionaL Neural Networks

Masked Conditional Neural Networks for Audio Classification

Masked Conditional Neural Networks for Environmental Sound Classification

Automatic Classification of Music Genre using Masked Conditional Neural Networks

Masked Conditional Neural Networks for Automatic Sound Events Recognition

International Conference on Data Science and Advanced Analytics

Environmental Sound Recognition Using Masked Conditional Neural Networks

Recognition of Acoustic Events Using Masked Conditional Neural Networks

International Conference on Machine Learning and Applications

Music Genre Classification Using Masked Conditional Neural Networks

NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II


Suite of tools for analysing off-target reads to find CNVs, homozygous regions, and shared haplotypes

YIPF5 mutations cause neonatal diabetes and microcephaly through endoplasmic reticulum stress

Loss of MANF Causes Childhood Onset Syndromic Diabetes due to Increased Endoplasmic Reticulum Stress

SavvyCNV: Genome-wide CNV calling from off-target reads

Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism

Infancy-onset diabetes caused by de-regulated AMPylation of the human endoplasmic reticulum chaperone BiP.

Biallelic Variants in MNS1 Are Associated with Laterality Defects and Respiratory Involvement


NLP  model and tech  for cyber security tasks

Malicious URL Detection using Machine Learning: A Survey

Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security

International Conference on Computing, Communication and Networking Technologies

Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey

deepBF: Malicious URL detection using learned Bloom Filter and evolutionary deep learning

Cyber Attack Detection thanks to Machine Learning Algorithms

Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 Dataset

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

International Conference on Information Systems Security and Privacy

Detecting Malicious URLs of COVID-19 Pandemic using ML technologies

Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors


Neural Common Neighbor with Completion for Link Prediction

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Revisiting Link Prediction: A Data Perspective

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance


Graph Neural Networks for Social Recommendation, WWW'19

Graph Learning based Recommender Systems: A Review

Deep Adversarial Social Recommendation

Attentive Social Recommendation: Towards User And Item Diversities


code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation

Improving Question Answering over Knowledge Graphs Using Graph Summarization

Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base

Computational intelligence and neuroscience


Implementation of self-supervised image-level contrastive pretraining methods using Keras.

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Emerging Properties in Self-Supervised Vision Transformers

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning

Self-Supervised Learning by Estimating Twin Class Distributions


A simple tool for extracting reads from Oxford Nanopore fast5 files

Completing bacterial genome assemblies with multiplex MinION sequencing

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

Rapid Diagnosis of Lower Respiratory Infection using Nanopore-based Clinical Metagenomics

Exploration of antibiotic resistance risks in a veterinary teaching hospital with Oxford Nanopore long read sequencing

Genomic characterisation of an entomopathogenic strain of Serratia ureilytica in the critically endangered phasmid Dryococelus australis


An encoder-decoder framework for learning from incomplete data

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

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


PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Graph Convolutional Network Based on Multi-Head Pooling for Short Text Classification

A Sequential Graph Neural Network for Short Text Classification

Representation Learning for Short Text Clustering


Graph Neural Networks with Adaptive Residual

Clenshaw Graph Neural Networks

Robust Graph Representation Learning for Local Corruption Recovery

A Simple and Yet Fairly Effective Defense for Graph Neural Networks

Self-Guided Robust Graph Structure Refinement


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

Saving Dense Retriever from Shortcut Dependency in Conversational Search

Generating Information-Seeking Conversations from Unlabeled Documents

Weakly-Supervised Open-Retrieval Conversational Question Answering

Role of Attentive History Selection in Conversational Information Seeking


[ECCV 2020] Temporal Aggregate Representations for Long-Range Video Understanding

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

Technical Report: Temporal Aggregate Representations


Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Convolutional Neural Networks for Sentence Classification

WaveNet: A Generative Model for Raw Audio

Neural Machine Translation in Linear Time


Python implementation of Geometric Dataset Distances via Optimal Transport

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping


Data repo for the ibean project of the AIR lab.

LoRA Training in the NTK Regime has No Spurious Local Minima

Cross-domain Transfer of defect features in technical domains based on partial target data


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

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

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

Automatic Claim Review for Climate Science via Explanation Generation


Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"

DARTS: Differentiable Architecture Search

3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification.


Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"

Layer Normalization

Order-Embeddings of Images and Language

Representations of language in a model of visually grounded speech signal

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

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Image Pivoting for Learning Multilingual Multimodal Representations


Official implementation of "Graph Unlearning" (ACM CCS 2022)

A Survey of Machine Unlearning

Graph Unlearning

Inductive Graph Unlearning

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

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks


openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit

Face mask recognition from audio: The MASC database and an overview on the mask challenge

Classification of Speech with and without Face Mask using Acoustic Features

Nkululeko: A Tool For Rapid Speaker Characteristics Detection

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Happy or Evil Laughter? Analysing a Database of Natural Audio Samples


VulRepair: A T5-Based Automated Software Vulnerability Repair

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

A Survey of Learning-based Automated Program Repair


Integrated path-based and distributional method for hypernymy detection

DyNet: The Dynamic Neural Network Toolkit

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths


ClaSPy: A Python package for time series segmentation.

ClaSP - Time Series Segmentation

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

ClaSP -- Parameter-free Time Series Segmentation

Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark


A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"

TALL: Temporal Activity Localization via Language Query

MAC: Mining Activity Concepts for Language-based Temporal Localization

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

Video Moment Localization using Object Evidence and Reverse Captioning


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

iDLG: Improved Deep Leakage from Gradients

Dataset Condensation with Gradient Matching

User-Level Label Leakage from Gradients in Federated Learning

Separation of Powers in Federated Learning (Poster Paper)

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

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


Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

Super Characters: A Conversion from Sentiment Classification to Image Classification

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Findings of the Association for Computational Linguistics: ACL 2022

More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models

ntust-nlp-1 at ROCLING-2021 Shared Task: Educational Texts Dimensional Sentiment Analysis using Pretrained Language Models

Taiwan Conference on Computational Linguistics and Speech Processing

DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors

Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)


BasicIRSTD toolbox

Asymmetric Contextual Modulation for Infrared Small Target Detection

One-Stage Cascade Refinement Networks for Infrared Small Target Detection

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

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


Multi-Scale Aligned Distillation for Low-Resolution Detection (CVPR2021)

Slimmable Neural Networks

Fully Convolutional Networks for Panoptic Segmentation


Scalable Graph Neural Networks for Heterogeneous Graphs

SIGN: Scalable Inception Graph Neural Networks

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

Efficient Heterogeneous Graph Learning via Random Projection


Weakly-supervised Text Classification Based on Keyword Graph

X-Class: Text Classification with Extremely Weak Supervision

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


Reinforcement-learning-based control of confined cylinder wakes with stability analyses

Deep reinforcement learning-based active flow control of an elliptical cylinder: Transitioning from an elliptical cylinder to a circular cylinder and a flat plate

Effect of synthetic jets actuator parameters on deep reinforcement learning-based flow control performance in a square cylinder


JEME method for predicting enhancer targets

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

Computational and structural biotechnology journal

EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue/cell type-specific enhancer-gene interactions

Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets

Machine and deep learning methods for predicting 3D genome organization


A Corpus for Research on Robust Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications

Automatic Speech Recognition Benchmark for Air-Traffic Communications

BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications

ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding

Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding


reconstruction algorithms for snapshot compressive imaging

Rank Minimization for Snapshot Compressive Imaging

IEEE transactions on pattern analysis and machine intelligence

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

Memory-Efficient Network for Large-scale Video Compressive Sensing

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing


A Deep Primal-Dual Network for Guided Depth Super-Resolution

Indoor Depth Completion with Boundary Consistency and Self-Attention

Perceptual deep depth super-resolution

Joint convolutional neural pyramid for depth map super-resolution


DocNLI: A Large-scale Dataset for Document-level Natural Language Inference

WiCE: Real-World Entailment for Claims in Wikipedia

Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges


FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Finding Tiny Faces

Detecting and counting tiny faces


A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data

ModelFinder: fast model selection for accurate phylogenetic estimates

phytools: an R package for phylogenetic comparative biology (and other things)

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

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

Fast Hierarchical Bayesian Analysis of Population Structure

Shiga toxin-producing Escherichia coli clonal complex 32, including serotype O145:H28, in the UK and Ireland

Genomic Characteristion of Opportunistic Pathogen Kluyvera Reveals a Novel CTX-M Subgroup

Genome-based assessment of antimicrobial resistance reveals the lineage specificity of resistance and resistance gene profiles in Riemerella anatipestifer from China

Genomic insights into the evolution, pathogenicity, and extensively drug-resistance of emerging pathogens Kluyvera and Phytobacter

Frontiers in cellular and infection microbiology


RoBERTa: A Robustly Optimized BERT Pretraining Approach

How to Fine-Tune BERT for Text Classification?

FastText.zip: Compressing text classification models

A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data


Attention-based end-to-end ASR on TIMIT in PyTorch

Effective Approaches to Attention-based Neural Machine Translation

Attention-Based Models for Speech Recognition

Listen, Attend and Spell


Sliced Wasserstein Generator

Generative Modeling using the Sliced Wasserstein Distance

Orthogonal Estimation of Wasserstein Distances

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions


Robust loss functions for deep neural networks (CVPR 2017)

Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

Learning from Noisy Labels with Deep Neural Networks: A Survey

Wasserstein Adversarial Regularization for Learning With Label Noise

Wasserstein Adversarial Regularization (WAR) on label noise


Prepare XML input files for divergence-time estimation with SNAPP

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

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

Population Structure Limits Parallel Evolution in Sticklebacks

Zenodo (CERN European Organization for Nuclear Research)

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

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

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

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

Evolution; international journal of organic evolution

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

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

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


[ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"

mCLIP: Multilingual CLIP via Cross-lingual Transfer

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

Translation-Enhanced Multilingual Text-to-Image Generation


A 3'-end adapter contaminant trimmer

AdapterRemoval v2: rapid adapter trimming, identification, and read merging

Self-renewing diploid Axin2+ cells fuel homeostatic renewal of the liver

Genome-wide transcriptional profiling of Botrytis cinerea genes targeting plant cell walls during infections of different hosts

The within-host population dynamics of Mycobacterium tuberculosis vary with treatment efficacy

Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment

Nascent RNA sequencing reveals mechanisms of gene regulation in the human malaria parasite Plasmodium falciparum

Sequencing the transcriptome of milk production: milk trumps mammary tissue

(Per)Chlorate-Reducing Bacteria Can Utilize Aerobic and Anaerobic Pathways of Aromatic Degradation with (Per)Chlorate as an Electron Acceptor

Using RNA-seq to characterize responses to 4-hydroxyphenylpyruvate dioxygenase (HPPD) inhibitor herbicide resistance in waterhemp (Amaranthus tuberculatus)

Synthetic and Evolutionary Construction of a Chlorate-Reducing Shewanella oneidensis MR-1


Code for our paper: https://www.biorxiv.org/content/10.1101/528463v1

Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease

Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia

Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects


Sentiment Analysis with Ensemble

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Self-Adaptive Hierarchical Sentence Model

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

Neural information retrieval: at the end of the early years

Neural Information Retrieval: A Literature Review

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification

International Conference on Computational Linguistics

ROBUST DISCRIMINATIVE REPRESENTATION LEARNING VIA GRADIENT RESCALING: AN EMPHASIS REGULARISATION PERSPECTIVE

Deep Markov Neural Network for Sequential Data Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2


One short text dataset for classification and clustering extracted from StackOverflow

Short Text Clustering via Convolutional Neural Networks

North American Chapter of the Association for Computational Linguistics

Deep Weighted Averaging Classifiers

Proceedings of the Conference on Fairness, Accountability, and Transparency

Intent Mining from past conversations for conversational agent

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


High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.

A Faster Approach to Spiking Deep Convolutional Neural Networks

Models Developed for Spiking Neural Networks


Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Learning explanations that are hard to vary

Neuro-algorithmic Policies enable Fast Combinatorial Generalization


A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Adversarial Distillation of Bayesian Neural Network Posteriors

Learn to Forget: Machine Unlearning via Neuron Masking


Adversarial training for Graph Neural Networks

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Adversarial Attack and Defense on Graph Data: A Survey

Turning Strengths into Weaknesses: A Certified Robustness Inspired Attack Framework against Graph Neural Networks


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

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations


GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

3D Infomax improves GNNs for Molecular Property Prediction

Improving Molecular Pretraining with Complementary Featurizations

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks


Isotope-enabled CESM1.2

Glacial cooling and climate sensitivity revisited

Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model

Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature

Influence of Sea Ice Anomalies on Antarctic Precipitation Using Source Attribution


QC-DMET: a python implementation of density matrix embedding theory for ab initio quantum chemistry

A Practical Guide to Density Matrix Embedding Theory in Quantum Chemistry

Journal of chemical theory and computation

Multiconfigurational Self-Consistent Field Theory with Density Matrix Embedding: The Localized Active Space Self-Consistent Field Method

Can Density Matrix Embedding Theory with the Complete Activate Space Self-Consistent Field Solver Describe Single and Double Bond Breaking in Molecular Systems?


Towards Deep Learning Models Resistant to Adversarial Attacks

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Overfitting in adversarially robust deep learning

Bag of Tricks for Adversarial Training

Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples

Calibrated Adversarial Training

On the Robustness of Neural Collapse and the Neural Collapse of Robustness


Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

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

Combinatory Grammar Tells Underlying Relevance among Entities

Findings of the Association for Computational Linguistics: EMNLP 2022


An opensource TAR framework for experiments and applications

On Minimizing Cost in Legal Document Review Workflows

Proceedings of the 21st ACM Symposium on Document Engineering

TARexp: A Python Framework for Technology-Assisted Review Experiments

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval


code to show F-Principle in the DNN training

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Training behavior of deep neural network in frequency domain

Theory of the Frequency Principle for General Deep Neural Networks

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks


Automatic gradient descent

Feature Learning in Infinite-Width Neural Networks

On the distance between two neural networks and the stability of learning

Automatic Gradient Descent: Deep Learning without Hyperparameters

Optimisation & Generalisation in Networks of Neurons


[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation


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

OpenNMT: Open-Source Toolkit for Neural Machine Translation

A Dataset for Document Grounded Conversations

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

Low-Resource Knowledge-Grounded Dialogue Generation

Zero-Resource Knowledge-Grounded Dialogue Generation

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

Contextual Knowledge Learning for Dialogue Generation


identify potential non-animal transcripts in animal transcriptomes

Do novel genes drive morphological novelty? An investigation of the nematosomes in the sea anemone Nematostella vectensis

Alienness: Rapid Detection of Candidate Horizontal Gene Transfers across the Tree of Life

Integrating Embryonic Development and Evolutionary History to Characterize Tentacle-Specific Cell Types in a Ctenophore

Horizontally transferred genes in the ctenophore Mnemiopsis leidyi

A cnidarian phylogenomic tree fitted with hundreds of 18S leaves

Recruitment of toxin-like proteins with ancestral venom function supports endoparasitic lifestyles of Myxozoa

A chromosome-level genome for the nudibranch gastropod Berghia stephanieae helps parse clade-specific gene expression in novel and conserved phenotypes.

bioRxiv : the preprint server for biology

Regeneration of Planarian Auricles and Reestablishment of Chemotactic Ability

Frontiers in cell and developmental biology


TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis

Learning Transferable Time Series Classifier with Cross-Domain
  Pre-training from Language Model

Advancing Time Series Classification with Multimodal Language Modeling


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

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

Universal Text Representation from BERT: An Empirical Study

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

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

Meeting of the Association for Computational Linguistics

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

Empirical Methods in Natural Language Processing

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

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


What's Hidden in a Randomly Weighted Neural Network?

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

A Survey of Lottery Ticket Hypothesis

Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks

Randomly Initialized Subnetworks with Iterative Weight Recycling


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

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

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

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


Calculate white dwarfs ages from effective temperature and surface gravity.

Gyro-Kinematic Ages for around 30,000 Kepler Stars

TESS Hunt for Young and Maturing Exoplanets (THYME). VII. Membership, Rotation, and Lithium in the Young Cluster Group-X and a New Young Exoplanet

The POKEMON Speckle Survey of Nearby M Dwarfs. I. New Discoveries

Discovery of 34 Low-mass Comoving Systems Using NOIRLab Source Catalog DR2

Fundamental Tests of White Dwarf Cooling Physics with Wide Binaries


RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Inference of single-cell phylogenies from lineage tracing data using Cassiopeia

Phylogeography of the Bradyrhizobium spp. Associated With Peanut, Arachis hypogaea: Fellow Travelers or New Associations?


The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models


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

Constrained Update Projection Approach to Safe Policy Optimization

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning


Temporal IMLinUCB - a solution for Online Influence Maximization problem in Temporal Networks (based on IMLinUCB)

node2vec: Scalable Feature Learning for Networks

Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback

Online Influence Maximization in Non-Stationary Social Networks

International Workshop on Quality of Service


HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.

TWC-Net: A SAR Ship Detection Using Two-Way Convolution and Multiscale Feature Mapping

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

Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network

A Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection

An improved anchor-free SAR ship detection algorithm based on brain-inspired attention mechanism


Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning

Backdoor Contrastive Learning via Bi-level Trigger Optimization


BioMetAll is a command line application to allow the identification of metal-binding sites in proteins from backbone preorganization.

BioMetAll: Identifying Metal-Binding Sites in Proteins from Backbone Preorganization

Journal of chemical information and modeling

Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications

International journal of molecular sciences

A Comprehensive Review of Computation-Based Metal-Binding Prediction Approaches at the Residue Level


The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).

Computational methods for large-scale inverse problems: a survey on hybrid projection methods

Condition numbers for the truncated total least squares problem and their estimations

On the extended randomized multiple row method for solving linear least-squares problems


Entity-centered Cross-document Relation Extraction

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild

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

Multi-hop Evidence Retrieval for Cross-document Relation Extraction


Data and code supporting Hansen et al., 2022 "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"

Molecular basis underlying default mode network functional abnormalities in postpartum depression with and without anxiety

Network connectivity and local transcriptomic vulnerability underpin cortical atrophy progression in Parkinson's disease

Divergent suicidal symptomatic activations converge on somato-cognitive action network in depression

Mapping Pharmacologically-induced Functional Reorganisation onto the Brain’s Neurotransmitter Landscape

How brain structure–function decoupling supports individual cognition and its molecular mechanism

Propofol Disrupts the Functional Core-Matrix Architecture of the Thalamus in Humans

Molecular signatures of attention networks

Cortical beta oscillations map to shared brain networks modulated by dopamine

Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance


[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding


BEETL

External memory BWT and LCP computation for sequence collections with applications

Lightweight LCP construction for very large collections of strings

A New Class of String Transformations for Compressed Text Indexing

Lossy Compressor Preserving Variant Calling through Extended BWT

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies

The colored longest common prefix array computed via sequential scans


A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages.

Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

On the Stability of Iterative Retraining of Generative Models on their own Data

Understanding Hallucinations in Diffusion Models through Mode
  Interpolation

Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration

Switch EMA: A Free Lunch for Better Flatness and Sharpness


Causal Effect Inference with Deep Latent-Variable Models

A Survey on Causal Inference

Deep End-to-end Causal Inference

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Selective Regression Under Fairness Criteria

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning

Disentangled Representation for Causal Mediation Analysis


MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Multi-Target Multiple Instance Learning for Hyperspectral Target Detection

Spectral-Spatial Complementary Decision Fusion for Hyperspectral Anomaly Detection

Adaptive Learnable Spectral-Spatial Fusion Transformer for Hyperspectral Image Classification


Create mutation signatures from MAF's, and decompose them into Stratton signatures

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

Phase and context shape the function of composite oncogenic mutations

Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering

Expanded genetic testing of GIST patients identifies high proportion of non-syndromic patients with germline alterations

Reversion mutations in germline BRCA1/2-mutant tumors reveal a BRCA-mediated phenotype in non-canonical histologies


Creative Commons Attribution Share Alike 4.0 International

Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering

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


Creativity Inspired Zero-Shot Learning

Creativity Inspired Zero-Shot Learning

CIZSL++: Creativity Inspired Generative Zero-Shot Learning

Graceful Degradation and Related Fields


Public branch of CONNECT

CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference

Fast and effortless computation of profile likelihoods using CONNECT


Lightweight pipeline for processing droplet-based single-cell RNA-seq data

Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation

Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation

Ribonucleotide reductase regulatory subunit M2 drives glioblastoma TMZ resistance through modulation of dNTP production


Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning

Calibrating Reasoning in Language Models with Internal Consistency


A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985

Hyperspherical Variational Auto-Encoders

TensorFlow Distributions

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings


Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook

Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation


Transcriptomic tools to classify bladder tumours according to six published molecular classifications : Baylor, UNC, MDA, Lund, CIT-Curie, TCGA

A Consensus Molecular Classification of Muscle-invasive Bladder Cancer

NKG2A and PD-L1 expression panel predicts clinical benefits from adjuvant chemotherapy and PD-L1 blockade in muscle-invasive bladder cancer

Synergistic induction of tertiary lymphoid structures by chemoimmunotherapy in bladder cancer

Development of a Molecular-Subtype-Associated Immune Prognostic Signature That Can Be Recognized by MRI Radiomics Features in Bladder Cancer

Integrative tumour mutation burden with CD39 and PD-L1 for the prediction of response to PD-L1 blockade and adjuvant chemotherapy in muscle-invasive bladder cancer patients

Improved Bladder Tumor RNA Isolation from Archived Tissues Using Methylene Blue for Normalization, Multiplex RNA Hybridization, Sequencing and Subtyping

Predictive molecular biomarkers for determining neoadjuvant chemosensitivity in muscle invasive bladder cancer


A one stop shop for all of your activity recognition needs.

Learning Spatiotemporal Features with 3D Convolutional Networks

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

M-PACT: An Open Source Platform for Repeatable Activity Classification Research


Unified Cybersecurity Ontology

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A Semantic Model for Security Evaluation of Information Systems


Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

Addressing Distribution Shift in Time Series Forecasting with Instance
  Normalization Flows

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


EasyCodeML: A visual tool for analysis of selection using CodeML

Comparative and Evolutionary Analyses on the Complete Plastomes of Five Kalanchoe Horticultural Plants

Phylogenetic Analyses of Some Key Genes Provide Information on Pollinator Attraction in Solanaceae


Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration

PREGO: A Literature and Data-Mining Resource to Associate Microorganisms, Biological Processes, and Environment Types

Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records


RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables


Practical Lossless Compression with Latent Variables using Bits Back Coding

Lossless Compression with Latent Variable Models

Compressing Multisets with Large Alphabets using Bits-Back Coding


DNN quantization with outlier channel splitting

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller

Position-based Scaled Gradient for Model Quantization and Pruning

Evaluating Post-Training Compression in GANs using Locality-Sensitive Hashing

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization

Model Compression via Position-Based Scaled Gradient


Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.

DiBS: Differentiable Bayesian Structure Learning

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement
  Learning


One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

On Measuring and Mitigating Biased Inferences of Word Embeddings

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions

The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability


Official PyTorch implementation of  MFCVAE : "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

Identifiability of deep generative models without auxiliary information

Multi-Facet Clustering Variational Autoencoders


Descriptor Vector Exchange

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

On Equivariant and Invariant Learning of Object Landmark Representations

Unsupervised Discovery of Object Landmarks via Contrastive Learning


Genome-scale design tool for oligo hybridization probes

OligoMiner provides a rapid, flexible environment for the design of genome-scale oligonucleotide in situ hybridization probes

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

Simultaneous epigenetic perturbation and genome imaging reveal distinct roles of H3K9me3 in chromatin architecture and transcription

Transcription-coupled structural dynamics of topologically associating domains regulate replication origin efficiency

Spatiotemporal patterns of neuronal subtype genesis suggest hierarchical development of retinal diversity

OligoMinerApp: a web-server application for the design of genome-scale oligonucleotide in situ hybridization probes through the flexible OligoMiner environment

Mammalian type opsin 5 preferentially activates G14 in Gq-type G proteins triggering intracellular calcium response

Probe-Seq: Method for RNA Sequencing of Specific Cell Types from Animal Tissue.


Detect UN Sustainable Development Goals in Text

text2sdg: An R package to Monitor Sustainable Development Goals from Text

Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals


GOLEM is a numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.

Flexible parallel implicit modelling of coupled Thermal-Hydraulic-Mechanical processes in fractured rocks


Hierarchical probabilistic 3D U-Net, with attention mechanisms (— -, ) and a nested decoder structure with deep supervision (—++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -Should Different Clinical Objectives Mandate Different Loss Functions?

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI


A curated reading list of research in Mixture-of-Experts(MoE).

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Multitask Mixture of Sequential Experts for User Activity Streams

MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning

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

Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic

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


Curated lists of credible and non-credible online sources, available for public use

Capturing the Style of Fake News

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

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

Humanities and Social Sciences Communications

Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites

The Rise and Fall of Fake News sites: A Traffic Analysis

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Educators, Solicitors, Flamers, Motivators, Sympathizers: Characterizing Roles in Online Extremist Movements

University Community Members’ Perceptions of Labels for Online Media


the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

Self-Ensemble Adversarial Training for Improved Robustness

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems

Revisiting Adversarial Training under Long-Tailed Distributions


The official source code for the paper Consensus-Aware Visual-Semantic Embedding for Image-Text Matching (ECCV 2020)

Learning the Best Pooling Strategy for Visual Semantic Embedding

Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval

Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning


Gaia science performance simulation toolkit

Hunting for open clusters in Gaia DR2: 582 new open clusters in the Galactic disc

Synthetic Gaia Surveys from the FIRE Cosmological Simulations of Milky Way-mass Galaxies

The Astrophysical Journal Supplement Series

The internal rotation of globular clusters revealed by Gaia DR2

Monthly notices of the Royal Astronomical Society

Hunting for open clusters in Gaia DR2: the Galactic anticentre

Dynamical traceback age of the β Pictoris moving group

Proper motions of Milky Way Ultra-Faint satellites with Gaia DR2 × DES DR1

The First Tidally Disrupted Ultra-faint Dwarf Galaxy?: A Spectroscopic Analysis of the Tucana III Stream

Astrometry with the Wide-Field InfraRed Space Telescope

Overview of the DESI Milky Way Survey

INFERRING THE GRAVITATIONAL POTENTIAL OF THE MILKY WAY WITH A FEW PRECISELY MEASURED STARS


Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."

Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study

medRxiv : the preprint server for health sciences

Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors.

Ultraviolet A radiation and COVID‐19 deaths in the USA with replication studies in England and Italy*

COVID-19 in New York state: Effects of demographics and air quality on infection and fatality

Ecological studies of COVID-19 and air pollution: How useful are they?

Environmental epidemiology (Philadelphia, Pa.)


DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

Few-shot Anomaly Detection in Text with Deviation Learning


Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".

Segmenting Natural Language Sentences via Lexical Unit Analysis

NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation


A maze generator and solver written in Python, which uses a backtracker algorithm and Djikstra's algorithm.

Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal


Application to assign secondary structure to proteins

Cellular targets and lysine selectivity of the HERC5 ISG15 ligase

Residue Folding Degree—Relationship to Secondary Structure Categories and Use as Collective Variable

International journal of molecular sciences


Visual Instruction Tuning

Generative Agents: Interactive Simulacra of Human Behavior

STICKERCONV: Generating Multimodal Empathetic Responses from Scratch


State of the art Hanabi bots + simulation framework in rust

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Improving Policies via Search in Cooperative Partially Observable Games

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Diverse Agents for Ad-Hoc Cooperation in Hanabi

Generating and Adapting to Diverse Ad Hoc Partners in Hanabi

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi


DRUGZ software

Identifying chemogenetic interactions from CRISPR screens with drugZ

CRISPR-Cas9 screen identifies oxidative phosphorylation as essential for cancer cell survival at low extracellular pH

Genome-scale chemogenomic CRISPR screens in human cells using the TKOv3 library

Identifying chemogenetic interactions from CRISPR knockout screens with drugZ

RAD54L2-mediated DNA damage avoidance pathway specifically preserves genome integrity in response to topoisomerase 2 poisons

DePARylation is critical for S phase progression and cell survival


shiny app for WGCNA...

Genome-Wide Identification of the WD40 Gene Family in Tomato (Solanum lycopersicum L.)

Potential regulatory genes of light induced anthocyanin accumulation in sweet cherry identified by combining transcriptome and metabolome analysis

Cross-Platform Transcriptomic Data Integration, Profiling, and Mining in Vibrio cholerae


Evaluation framework for open-domain question answering.

SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval

VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words


A foundation model for knowledge graph reasoning

Towards Foundation Models for Knowledge Graph Reasoning

A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

A Foundation Model for Zero-shot Logical Query Reasoning


Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Deep Graph Generators: A Survey

Graph Generation via Scattering

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Molecular Graph Generation via Geometric Scattering

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


[CVPR 2022] Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation


Quantum circuit analysis toolkit

On the controlled-NOT complexity of controlled-NOT–phase circuits

Fast and effective techniques for T-count reduction via spider nest identities

Techniques to Reduce π/4-Parity-Phase Circuits, Motivated by the ZX Calculus

AND-gates in ZX-calculus: Spider Nest Identities and QBC-completeness

Quantum Circuit Optimization with AlphaTensor

Optimal Hadamard gate count for Clifford+T synthesis of Pauli rotations sequences

Sized Types for Low-Level Quantum Metaprogramming

Quantum circuit optimization for multiple QPUs using local structure

Symbolic Synthesis of Clifford Circuits and Beyond

Using ZDDs in the Mapping of Quantum Circuits


A collection of functions for working with DNA methylation microarrays (quality control, pre-processing, LC estimation, ...)

Improved filtering of DNA methylation microarray data by detection p-values and its impact on downstream analyses

Zenodo (CERN European Organization for Nuclear Research)

Saliva cell type DNA methylation reference panel for epidemiological studies in children

Reduction in Epigenetic Age Acceleration Is Related to Empathy in Mothers with Neglectful Caregiving

Impact of Maternal Mediterranean-Type Diet Adherence on Microbiota Composition and Epigenetic Programming of Offspring

Saliva cell type DNA methylation reference panel for epidemiology studies in children


Automatic Dialect Detection Repository

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Automatic Dialect Detection in Arabic Broadcast Speech

Speech Recognition Challenge in the Wild: Arabic MGB-3

MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge

Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech


Python quantum signal processing

Optimal Hamiltonian Simulation by Quantum Signal Processing

A Grand Unification of Quantum Algorithms

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

Simplifying a classical-quantum algorithm interpolation with quantum singular value transformations

Calculating the Single-Particle Many-body Green's Functions via the Quantum Singular Value Transform Algorithm


An algorithm for learning optimal decision trees, with Python interface

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

Fast Sparse Decision Tree Optimization via Reference Ensembles

Analysis of Machine Learning Approaches to Packing Detection

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

Probabilistic Dataset Reconstruction from Interpretable Models

Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design.

Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees


Stochastic Gradient Push for Distributed Deep Learning

Deep Residual Learning for Image Recognition

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Asynchronous Decentralized Parallel Stochastic Gradient Descent


Deep Planning Network: Control from pixels by latent planning with learned dynamics

Learning Latent Dynamics for Planning from Pixels

The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning

Multimodal dynamics modeling for off-road autonomous vehicles

Joint Embedding Predictive Architectures Focus on Slow Features

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts

Gradient-based Planning with World Models

Continuous Monte Carlo Graph Search

PlaNet-ClothPick: Effective Fabric Flattening Based on Latent Dynamic Planning


OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Legal NER is one the AI component developed under this mission

Named Entity Recognition in Indian court judgments

VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction

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

ResearchTeam_HCN at SemEval-2023 Task 6: A knowledge enhanced transformers based legal NLP system


A tool for measuring energy consumption of Intel CPUs

CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering

Tools and Algorithms for Construction and Analysis of Systems

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing

Hardware/Software Solution for Low Power Evaluation of Tsunami Danger

Journal of Low Power Electronics and Applications


Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


Explaining LIGO's observations via isolated binary evolution with natal kicks

precession : Dynamics of spinning black-hole binaries with python

Gravitational-wave population inference at past time infinity

Efficient multi-timescale dynamics of precessing black-hole binaries

Inferences about the distribution, merger rate, and evolutionary processes of compact binaries from gravitational wave observations


MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Conversations with Search Engines: SERP-based Conversational Response Generation

Are Neural Ranking Models Robust?

Multi-span Style Extraction for Generative Reading Comprehension

Evaluating the Explainability of Neural Rankers


VM2D: Open-Source Code for 2D Flow Simulation by Using Meshless Lagrangian Vortex Methods

On the Scope of Lagrangian Vortex Methods for Two-Dimensional Flow Simulations and the POD Technique Application for Data Storing and Analyzing

Open Source Code for 2D Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods

2017 Ivannikov ISPRAS Open Conference (ISPRAS)

Flow simulation around circular cylinder at low Reynolds numbers using vortex particle method

The VM2D Open Source Code for Incompressible Flow Simulation by Using Meshless Lagrangian Vortex Methods on CPU and GPU

2019 Ivannikov Memorial Workshop (IVMEM)


An open source toolkit for multimodal generative conversational task assistants, helping assist people with real-world complex tasks

VILT: Video Instructions Linking for Complex Tasks

Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval

GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants

GRILLBot: A multi-modal conversational agent for complex real-world tasks


OpenStaticAnalyzer is a source code analyzer tool, which can perform deep static analysis of the source code of complex systems.

An automatically created novel bug dataset and its validation in bug prediction

A public unified bug dataset for java and its assessment regarding metrics and bug prediction

A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects

The SmartSHARK Ecosystem for Software Repository Mining

Building the MSR Tool Kaiaulu: Design Principles and Experiences

Using Machine Learning Techniques to Predict Bugs in Classes: An Empirical Study

International Journal of Advanced Computer Science and Applications


A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

Robust log-based anomaly detection on unstable log data

ICSE (Companion Volume) - Log clustering based problem identification for online service systems

International Conference on Software Engineering

Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Inferring models of concurrent systems from logs of their behavior with CSight

A Survey on Automated Log Analysis for Reliability Engineering

Examining the stability of logging statements

IEEE International Conference on Software Analysis, Evolution, and Reengineering

PreFix

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation

Characterizing and Detecting Anti-Patterns in the Logging Code


Thermochemical Equilibrium Abundances (TEA), a code to calculate gaseous molecular abundances under thermochemical equilibrium conditions

Equilibrium chemistry down to 100 K. Impact of silicates and phyllosilicates on the carbon to oxygen ratio

TEA: A CODE CALCULATING THERMOCHEMICAL EQUILIBRIUM ABUNDANCES

The Astrophysical Journal Supplement Series

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

The composition of hot Jupiter atmospheres assembled within chemically evolved protoplanetary discs

Monthly Notices of the Royal Astronomical Society

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. I. Design, Tests, and Application to Exoplanet HD 189733b

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres

Toward More Reliable Analytic Thermochemical-equilibrium Abundances


Psycholinguistic experiments online

Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections

TED-Q: TED Talks and the Questions they Evoke

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

Understanding the Effects of Constraint and Predictability in ERP

Neurobiology of language (Cambridge, Mass.)

A-maze of Natural Stories: Comprehension and surprisal in the Maze task

A Knowledge Graph Based Approach to Social Science Surveys

Demonstratives as bundlers of conceptual structure

Glossa: a journal of general linguistics

Expressing Ignorance in Japanese: Contrastive wa versus sukunakutomo

Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution

Discourse and Form Constraints on Licensing Object-First Sentences in German

Toward an accommodation account of deaccenting under nonidentity


This is a code repository to efficiently train a deconvolutional neural network with rectified linear units.

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

How Deep Neural Networks Can Improve Emotion Recognition on Video Data

Multimedia super-resolution via deep learning: A survey

Self-Tuned Deep Super Resolution

An Analysis of Unsupervised Pre-training in Light of Recent Advances

Decomposition-Based Domain Adaptation for Real-World Font Recognition


T2 Temporal Prover

T2: Temporal Property Verification

DynamiTe: Dynamic Termination and Non-termination Proofs

Decision Tree Learning in CEGIS-Based Termination Analysis