Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Convolutional 2D Knowledge Graph Embeddings

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications


Evaluating LLMs with CommonGen-Lite

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


Amons-based quantum machine learning for quantum chemistry

Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity.

Quantum machine learning using atom-in-molecule-based fragments selected on the fly

Ab initio machine learning in chemical compound space

Boosting Quantum Machine Learning Models with a Multilevel Combination Technique: Pople Diagrams Revisited

Journal of chemical theory and computation

Toward DMC Accuracy Across Chemical Space with Scalable Δ-QML.

Dictionary of 140k GDB and ZINC derived AMONs


[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

Making Pre-trained Language Models Better Few-shot Learners

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

Rethinking Semi-supervised Learning with Language Models

Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research
  Repositories


General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

Assessing the integrity of auditory processing and sensory memory in adults with cystinosis (CTNS gene mutations)

Response inhibition and error-monitoring in cystinosis (CTNS gene mutations): Behavioral and electrophysiological evidence of a diverse set of difficulties

bioRxiv : the preprint server for biology


Bayesian inference of ancestral dates on bacterial phylogenetic trees

Genomic epidemiology of Campylobacter fetus subsp. venerealis from Germany

The ICU environment contributes to the endemicity of the “ Serratia marcescens complex” in the hospital setting

The emergence of highly resistant and hypervirulent Klebsiella pneumoniae CC14 clone in a tertiary hospital over 8 years


Fake News Challenge

A Retrospective Analysis of the Fake News Challenge Stance-Detection Task

Discover Your Social Identity from What You Tweet: A Content Based Approach

Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

Investigating Rumor News Using Agreement-Aware Search

International Conference on Information and Knowledge Management

SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification

Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents

Journal of Intelligent Information Systems

On the use of text augmentation for stance and fake news detection

Journal of Information and Telecommunication

UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking

APSN: Adversarial Pseudo-Siamese Network for Fake News Stance Detection

Veritas Annotator: Discovering the Origin of a Rumour

Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)


Creative Commons Attribution Share Alike 4.0 International

[ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions

AutoCoder: Enhancing Code Large Language Model with
  AIEV-Instruct


Fast predictions for the matter power spectrum.

Core Cosmology Library: Precision Cosmological Predictions for LSST

The Astrophysical Journal Supplement Series

The Mira-Titan Universe. II. Matter Power Spectrum Emulation

TheHaloMod: An online calculator for the halo model

Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow

Monthly Notices of the Royal Astronomical Society

The Mira-Titan Universe IV. High Precision Power Spectrum Emulation


Solar/Satellite Geolocation for Animal Tracking

The retrospective analysis of Antarctic tracking data project

Unravelling migration connectivity reveals unsustainable hunting of the declining ortolan bunting

Long term movements and activity patterns of an Antarctic marine apex predator: The leopard seal

Migration tracking reveals geographic variation in the vulnerability of a Nearctic-Neotropical migrant bird


Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

A large-scale and PCR-referenced vocal audio dataset for COVID-19

The UK COVID-19 Vocal Audio Dataset

Zenodo (CERN European Organization for Nuclear Research)


The UK National Grid historical demand for electricity


SpuCo is a Python package developed to further research to address spurious correlations.

Towards Mitigating Spurious Correlations in the Wild: A Benchmark and a more Realistic Dataset

Invariant Learning via Probability of Sufficient and Necessary Causes


Framework for 0-D Atmospheric Modeling

Supplementary material to "Development of Ozone Reactivity Scales for Volatile Organic Compounds in a
Chinese Megacity"

What the COVID-19 lockdown revealed about photochemistry and ozone production in Quito, Ecuador

Insights into the significant increase in ozone during COVID-19 in a typical urban city of China

Atmospheric measurements at Mt. Tai - Part II: HONO budget and radical (ROx + NO3) chemistry in the lower boundary layer

The Lack of HONO Measurement May Affect the Accurate Diagnosis of Ozone Production Sensitivity

Wintertime Formaldehyde: Airborne Observations and Source Apportionment Over the Eastern United States

Journal of Geophysical Research: Atmospheres

Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation

Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0)

Atmospheric Measurements at the Foot and the Summit of Mt. Tai – Part II: HONO Budget and Radical (ROx + NO3) Chemistry in the Lower Boundary Layer


Official source for Catalan Language Models and resources made within Aina project.

Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan


SELEN: a program for solving the "Sea Level Equation".


Quasi-Newton algorithm for joint-diagonalization

Beyond Pham's algorithm for joint diagonalization

Joint Approximate Diagonalization under Orthogonality Constraints

A randomized algorithm for simultaneously diagonalizing symmetric
  matrices by congruence


Heterogeneity through discriminative analysis

Probing the clinical and brain structural boundaries of bipolar and major depressive disorder

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Neuroimaging profiling identifies distinct brain maturational subtypes of youth with mood and anxiety disorders

Accelerated Global and Local Brain Aging Differentiate Cognitively Impaired From Cognitively Spared Patients With Schizophrenia

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning


A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models

A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models

The Contribution of Transpiration to Precipitation Over African Watersheds

A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model


Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels

Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image
  Classification Tasks

Deep Convolutional Neural Networks for Onychomycosis Detection


This repo contains a simple source code for advanced neural machine translation based on sequence-to-sequence.

Attention Is All You Need

Effective Approaches to Attention-based Neural Machine Translation

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

Minimum Risk Training for Neural Machine Translation

Dual Supervised Learning

Dual Supervised Learning for Natural Language Understanding and Generation


Parallel Tensor Infrastructure (ParTI!)

Load-Balanced Sparse MTTKRP on GPUs

Efficient and effective sparse tensor reordering

International Conference on Supercomputing

ALTO: Adaptive Linearized Storage of Sparse Tensors

PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ICS 2021

A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU


A code for velocity-based Lagrangian and Eulerian PT expansions of redshift-space distortions.

Cosmological constraints from unWISE and Planck CMB lensing tomography

Redshift-space distortions in Lagrangian perturbation theory

Journal of Cosmology and Astroparticle Physics

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Cosmology at high redshift -- a probe of fundamental physics

Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

Cosmological analysis of three-dimensional BOSS galaxy clustering and Planck CMB lensing cross correlations via Lagrangian perturbation theory

Cross-correlation of Planck CMB lensing with DESI-like LRGs

The Atacama Cosmology Telescope: Cosmology from Cross-correlations of unWISE Galaxies and ACT DR6 CMB Lensing

Accurate predictions from small boxes: variance suppression via the Zel'dovich approximation

Snowmass2021 Cosmic Frontier White Paper: Cosmology and Fundamental Physics from the three-dimensional Large Scale Structure


The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

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

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control

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

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis

Abdominal organ segmentation via deep diffeomorphic mesh deformations

Towards liver segmentation in the wild via contrastive distillation

International journal of computer assisted radiology and surgery

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution


Machine-Translation-based sentence alignment tool for parallel text

Document-Level Machine Translation with Large Language Models

Findings of the WMT 2016 Bilingual Document Alignment Shared Task

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation

A Multilingual Parallel Corpora Collection Effort for Indian Languages

A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation

Benchmarking Machine Translation with Cultural Awareness

A Baseline Neural Machine Translation System for Indian Languages

The Text+Berg corpus: an alpine french-german parallel resource

Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels

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


uops.info: Characterizing Latency, Throughput, and Port Usage of Instructions on Intel Microarchitectures

TWENTY-FOURTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXIV)

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

SLEEF: A Portable Vectorized Library of C Standard Mathematical Functions

IEEE Transactions on Parallel and Distributed Systems

GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation

PMEvo: Portable Inference of Port Mappings for Out-of-Order Processors by Evolutionary Optimization

AnICA: Analyzing Inconsistencies in Microarchitectural Code Analyzers


News Article Corpus from Prachathai.com

WangchanBERTa: Pretraining transformer-based Thai Language Models

Thai Nested Named Entity Recognition Corpus

Findings of the Association for Computational Linguistics: ACL 2022

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models


Hierarchical matrices tool box

Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

Radiative transfer for variable three-dimensional atmospheres

High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem

Reflective conditions for radiative transfer in integral form with H-matrices


Formal Verification of Neural Feedback Loops (NFLs)

Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers

Neural Network Verification in Control

DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops

Backward Reachability Analysis for Neural Feedback Loops


My CV

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

corner.py: Scatterplot matrices in Python

Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series

Fast Direct Methods for Gaussian Processes

A seven-planet resonant chain in TRAPPIST-1

State of the Field: Extreme Precision Radial Velocities

A Kinematical Detection of Two Embedded Jupiter-mass Planets in HD 163296

EXOPLANET POPULATION INFERENCE AND THE ABUNDANCE OF EARTH ANALOGS FROM NOISY, INCOMPLETE CATALOGS

starry: Analytic Occultation Light Curves

EVEREST: Pixel Level Decorrelation of K2 Light curves


MATLAB code for Multidimensional Diffusion MRI

Maxwell-compensated design of asymmetric gradient waveforms for tensor-valued diffusion encoding

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems

Tensor-valued diffusion MRI in under 3 minutes: An initial survey of microscopic anisotropy and tissue heterogeneity in intracranial tumors

Gradient waveform design for tensor-valued encoding in diffusion MRI

Tensor-valued diffusion MRI differentiates cortex and white matter in malformations of cortical development associated with epilepsy

Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter

Mapping prostatic microscopic anisotropy using linear and spherical b-tensor encoding: A preliminary study

Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type

Applying positivity constraints to q-space trajectory imaging: The QTI+ implementation


Datasets with baselines for offline multi-agent reinforcement learning.

MADiff: Offline Multi-agent Learning with Diffusion Models

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

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation


ProFit is a galaxy image bulge-disk decomposition program

ProFit : Bayesian profile fitting of galaxy images

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

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

Automated detectionof very low surface brightness galaxiesin the Virgo cluster

Galaxy And Mass Assembly (GAMA): bulge-disc decomposition of KiDS data in the nearby Universe

PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology

Star-forming, rotating spheroidal galaxies in the GAMA and SAMI surveys

Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z = 1

PEARLS: Low Stellar Density Galaxies in the El Gordo Cluster Observed with JWST

PEARLS: A Potentially Isolated Quiescent Dwarf Galaxy with a Tip of the Red Giant Branch Distance of 30 Mpc


Machine Learning - accelerated Bayesian inference

A Measurement of the CMB Temperature Power Spectrum and Constraints on Cosmology from the SPT-3G 2018 TT/TE/EE Data Set

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison

12 × 2 pt combined probes: pipeline, neutrino mass, and data compression

Detection of the CMB lensing -- galaxy bispectrum

class_sz I: Overview


Edax reversi version 4.4 and above

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Final Adaptation Reinforcement Learning for N-Player Games

Othello is Solved

Lookahead Pathology in Monte-Carlo Tree Search


BSE is a simple minimal simulation of a limit order book financial exchange

Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market

BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange

Adaptive-Aggressive Traders Don't Dominate

Exploring Narrative Economics: An Agent-Based-Modeling Platform that Integrates Automated Traders with Opinion Dynamics

Which Trading Agent is Best? Using a Threaded Parallel Simulation of a Financial Market Changes the Pecking-Order

Parameterised-Response Zero-Intelligence Traders

Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders

A Cloud-Native Globally Distributed Financial Exchange Simulator for Studying Real-World Trading-Latency Issues at Planetary Scale

BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling

Market Impact in Trader-Agents: Adding Multi-Level Order-Flow Imbalance-Sensitivity to Automated Trading Systems


EPFL logic synthesis benchmarks

CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit

Extending Boolean Methods for Scalable Logic Synthesis

Circuit Minimization with QBF-Based Exact Synthesis

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

Physically Aware Synthesis Revisited: Guiding Technology Mapping with
  Primitive Logic Gate Placement


Water Detect Algorithm


DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing  wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?

Towards a Foundation Model for Neural Network Wavefunctions

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions

Transferable Neural Wavefunctions for Solids


A curated list of resources for machine learning for small-molecule drug discovery

Analyzing Learned Molecular Representations for Property Prediction

Journal of chemical information and modeling

Low Data Drug Discovery with One-shot Learning

GuacaMol: Benchmarking Models for De Novo Molecular Design

Optimization of Molecules via Deep Reinforcement Learning

ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery

PotentialNet for Molecular Property Prediction

Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery

Transfer Learning for Drug Discovery

SCScore: Synthetic Complexity Learned from a Reaction Corpus

Applications of Deep Learning in Molecule Generation and Molecular Property Prediction


A tensorflow library for building all kinds of models

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Densely Connected Convolutional Networks

Character-Based Text Classification using Top Down Semantic Model for Sentence Representation


Bicleaner fork that uses neural networks

Unsupervised Cross-lingual Representation Learning at Scale

A Decomposable Attention Model for Natural Language Inference

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering

Bicleaner AI: Bicleaner Goes Neural

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


The SDK for penglai-enclave


Minia is a short-read assembler based on a de Bruijn graph

TRITEX: chromosome-scale sequence assembly of Triticeae genomes with open-source tools

HASLR: Fast Hybrid Assembly of Long Reads

Impact of host demography and evolutionary history on endosymbiont molecular evolution: A test in carpenter ants (genus Camponotus) and their Blochmannia endosymbionts

Complete mitochondrial genome of the Antarctic copepod Tigriopus kingsejongenesis (Harpacticoida, Harpacticidae)


Mie scattering of light by perfect spheres

Volumetric additive manufacturing of silica glass with microscale computed axial lithography

Assessment of Isoprene as a Possible Biosignature Gas in Exoplanets with Anoxic Atmospheres

Bulletin of the American Astronomical Society

Formamidinium Lead Halide Perovskite Nanocomposite Scintillators

Interstellar oxygen along the line of sight of Cygnus X-2

ALMA Observations of the DART Impact: Characterizing the Ejecta at Submillimeter Wavelengths

Raynals, an online tool for the analysis of dynamic light scattering

Thermal radiation pressure as a possible mechanism for losing small particles on asteroids

Concept, absolute calibration, and validation of a new benchtop laser imaging polar nephelometer

Probing Magnetic Fields in Protoplanetary Disk Atmospheres through Polarized Near-IR Light Scattered by Aligned Grains


Fluid Earth is a WebGL-powered visualization of Earth's atmosphere and oceans


SPECTRE: Short packet communication toolbox

Short-Packet Communications Over Multiple-Antenna Rayleigh-Fading Channels

Wiretap Channels: Nonasymptotic Fundamental Limits

Finite-Blocklength Bounds for Wiretap Channels

Optimum Power Control at Finite Blocklength

Coherent multiple-antenna block-fading channels at finite blocklength

Towards Massive, Ultra-Reliable, and Low-Latency Wireless: The Art of Sending Short Packets.

On Systematic Polarization-Adjusted Convolutional (PAC) Codes

Low-latency Ultra Reliable 5G Communications: Finite-Blocklength Bounds and Coding Schemes

Interleaved Polar (I-Polar) Codes

Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios

International Symposium on Information Theory


A curated list of awesome nanopore analysis tools.

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore

Quantitative profiling of N6-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing

Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data

NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data

GoekeLab/m6anet: Pre-release


Easily share permanent links to ChatGPT conversations with your friends

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Deductive Verification of Chain-of-Thought Reasoning

LLaSM: Large Language and Speech Model

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative
  Decoding

RefGPT: Dialogue Generation of GPT, by GPT, and for GPT


A code for generating fake spectra from a cosmological simulation

Trident: A Universal Tool for Generating Synthetic Absorption Spectra from Astrophysical Simulations

An emulator for the Lyman-α forest

An emulator for the Lyman-α forest in beyond-ΛCDM cosmologies

The Effect of AGN Heating on the Low-redshift Lyα Forest

Massive neutrinos and degeneracies in Lyman-alpha forest simulations

Simulating the carbon footprint of galactic haloes

Monthly Notices of the Royal Astronomical Society

The Low-redshift Lyα Forest as a Constraint for Models of AGN Feedback

Characterizing Protoclusters and Protogroups at z ∼ 2.5 Using Lyα Tomography

A multifidelity emulator for the Lyman-α forest flux power spectrum

A neural network emulator for the Lyman-α forest 1D flux power spectrum


[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/...).

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations

An Invariant Information Geometric Method for High-Dimensional Online Optimization


Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric

XOX Fabric: A hybrid approach to blockchain transaction execution

Scaling Hyperledger Fabric Using Pipelined Execution and Sparse Peers

Improving Energy Efficiency of Permissioned Blockchains Using FPGAs


A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination

Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery

Efficient iterative virtual screening with Apache Spark and conformal prediction

Conformal Prediction in Clinical Medical Sciences

Journal of healthcare informatics research

Conformal prediction to define applicability domain – A case study on predicting ER and AR binding

Inductive conformal prediction for silent speech recognition

Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction

Conformal prediction of HDAC inhibitors

Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules

Conformal predictive distributions with kernels


Transcript quantification import for modular pipelines

A simple guide to de novo transcriptome assembly and annotation

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Nuclear hormone receptor NHR-49 acts in parallel with HIF-1 to promote hypoxia adaptation in Caenorhabditis elegans

H3.3K27M Mutation Controls Cell Growth and Resistance to Therapies in Pediatric Glioma Cell Lines

Bioinformatic and cell-based tools for pooled CRISPR knockout screening in mosquitos

Endogenous expression of inactive lysine deacetylases reveals deacetylation-dependent cellular mechanisms


Curated framework of open source platform software components using  which can be assembled together to accelerate the development of Smart Solutions.

Modeling Digital Twin Data and Architecture: A Building Guide With FIWARE as Enabling Technology

Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

Collaboration of Digital Twins Through Linked Open Data: Architecture With FIWARE as Enabling Technology

Overcoming the Barriers of Using Linked Open Data in Smart City Applications

Open Source Horizontal IoT Platforms: A Comparative Study on Functional Requirements


Medical image processing in Python

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

PlatiPy: Processing Library and Analysis Toolkit for Medical Imaging in Python

Occupancy Planes for Single-view RGB-D Human Reconstruction

Image Translation for Medical Image Generation -- Ischemic Stroke Lesions


Use DNN to study the brain and use brain measurement to evaluate DNN

DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains

Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks

An overview of open source Deep Learning-based libraries for Neuroscience


List of software/websites/databases/other stuff for genome engineering

MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens

Identifying chemogenetic interactions from CRISPR screens with drugZ

scMAGeCK links genotypes with multiple phenotypes in single-cell CRISPR screens

gscreend: modelling asymmetric count ratios in CRISPR screens to decrease experiment size and improve phenotype detection


Library for symbolic automata and symbolic visibly pushdown automata

The Learnability of Symbolic Automata

An Algebraic Framework for Runtime Verification

Mata, a Fast and Simple Finite Automata Library (Technical Report)

Reasoning about Regular Properties: A Comparative Study


Stochastic Model Predictive Control for Central HVAC Plants

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs

A Unifying Modeling Abstraction for Infinite-Dimensional Optimization

Graph-Based Modeling and Decomposition of Energy Infrastructures

A Hierarchical Optimization Architecture for Large-Scale Power Networks

IEEE Transactions on Control of Network Systems

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control

Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models

A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs

Mitigating investment risk using modular technologies


Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond

Leveraging range joins for the computation of overlap joins

NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education

D2.1 Models for energy consumption of data structures and algorithms

D2.2 White-box methodologies, programming abstractions and libraries

Benchmarking Hashing Algorithms for Load Balancing in a Distributed Database Environment

Integrating row level security in i2b2: segregation of medical records into data marts without data replication and synchronization

Condition Sensing for Electricity Infrastructure in Disasters by Mining Public Topics from Social Media

Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms


A repository of custom scripts to be used with Sentinel Hub

Ulyssys Water Quality Viewer Technical Description Supplementary


A collection of AWESOME things about domian adaptation

Visual Domain Adaptation: A survey of recent advances

A Survey of Unsupervised Deep Domain Adaptation

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation

Multi-source transfer learning of time series in cyclical manufacturing

On generalization in moment-based domain adaptation

Annals of Mathematics and Artificial Intelligence


Mirror of LALSuite, please use official GitLab repository.

Black hole spectroscopy in the next decade

Gravitational-wave Merger Forecasting: Scenarios for the Early Detection and Localization of Compact-binary Mergers with Ground-based Observatories

Improved deep learning techniques in gravitational-wave data analysis

An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models

A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications

Accuracy of source localization for eccentric inspiraling binary mergers using a ground-based detector network

Sub-atomic constraints on the Kerr geometry of GW150914


UCLANesl - NIST Differential Privacy Challenge (Match 3)

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

Synthetic Data: Methods, Use Cases, and Risks

Understanding how Differentially Private Generative Models Spend their Privacy Budget

A Unified View of Differentially Private Deep Generative Modeling

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging


C. Hocquette and A. Cropper, Relational program synthesis with numerical reasoning, AAAI23.

Inductive logic programming at 30: a new introduction

Learning programs with magic values


A fast speech-to-speech & speech-to-text translation model that supports simultaneous decoding and offers 28× speedup.

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation


Volumetric progressive photon mapping written in C++.

Monte Carlo Methods for Volumetric Light Transport Simulation

Progressive photon mapping: A probabilistic approach

Hero Wavelength Spectral Sampling

Production volume rendering

International Conference on Computer Graphics and Interactive Techniques

A null-scattering path integral formulation of light transport

Practical and controllable subsurface scattering for production path tracing


MBCGCN

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

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


Arabic edition of BERT pretrained language models

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

A review of sentiment analysis research in Arabic language

Arabic fake news detection based on deep contextualized embedding models

Pre-training Polish Transformer-based Language Models at Scale

ORCA: A Challenging Benchmark for Arabic Language Understanding

Hybrid Enhanced Universal Dependencies Parsing

International Workshop/Conference on Parsing Technologies


Static analysis tool for Hyperledger Frabric smart contracts written in Go.

Blockchain-Based Privacy Enforcement in the IoT Domain

IEEE Transactions on Dependable and Secure Computing

HyperSec: Visual Analytics for blockchain security monitoring

A Survey of Verification, Validation and Testing Solutions for Smart Contracts

Continuous and Secure Integration Framework for Smart Contracts


Unofficial PyTorch implementation of the paper "cosFormer: Rethinking Softmax In Attention".

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

On Layer Normalization in the Transformer Architecture

ReZero is All You Need: Fast Convergence at Large Depth

cosFormer: Rethinking Softmax in Attention


Chromatin States Map in mouse embryonic stem cell

hnRNPK Recruits PCGF3/5-PRC1 to the Xist RNA B-Repeat to Establish Polycomb-Mediated Chromosomal Silencing

Acute depletion of the ARID1A subunit of SWI/SNF complexes reveals distinct pathways for activation and repression of transcription

The related coactivator complexes SAGA and ATAC control embryonic stem cell self-renewal through acetyltransferase-independent mechanisms

Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3

Histone exchange sensors reveal variant specific dynamics in mouse embryonic stem cells


GEITje 7B: een groot open Nederlands taalmodel

Llama 2: Open Foundation and Fine-Tuned Chat Models

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Language Resources for Dutch Large Language Modelling

DUMB: A Benchmark for Smart Evaluation of Dutch Models

PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic
  Degeneration in Large Language Models


Inductive Representation Learning on Temporal Graphs

Self-attention with Functional Time Representation Learning

A Temporal Kernel Approach for Deep Learning with Continuous-time Information


This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".

Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia

Persistence Codebooks for Topological Data Analysis

Persistence Bag-of-Words for Topological Data Analysis


Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588

A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset

Applications of artificial intelligence in battling against covid-19: A literature review

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking

Applied intelligence (Dordrecht, Netherlands)

Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT

Detecting COVID-19 from chest computed tomography scans using AI-driven android application

A stacked ensemble for the detection of COVID-19 with high recall and accuracy

Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights

Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images

Engineering applications of artificial intelligence


Arabic edition of ALBERT pretrained language models

AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Arabic fake news detection based on deep contextualized embedding models

Emotion Analysis of Arabic Tweets: Language Models and Available Resources


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

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

Adaptive Graph Diffusion Networks

SCR: Training Graph Neural Networks with Consistency Regularization


Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness


Machine learning-based integrative analysis develops an immune-derived lncRNA signature for improving clinical outcomes in colorectal cancer

Identification of M2-like macrophage-related signature for predicting the prognosis, ecosystem and immunotherapy response in hepatocellular carcinoma

A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning

Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in cholangiocarcinoma

Bioinformatics identification of a T‐cell‐related signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma

Machine learning developed a programmed cell death signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma

Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer

Analytical cellular pathology (Amsterdam)

Machine learning-based cell death signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma

Machine learning developed a fibroblast-related signature for predicting clinical outcome and drug sensitivity in ovarian cancer


Fitting SEDs of binary stars.

UOCS. IV. Discovery of diverse hot companions to blue stragglers in the old open cluster King 2

Characterization of hot populations of Melotte 66 open cluster using Swift/UVOT

Monthly notices of the Royal Astronomical Society

UOCS-IX. AstroSat/UVIT Study of the Open Cluster NGC 2818: Blue Stragglers, Yellow Stragglers, Planetary Nebula, and their Membership


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

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

Algorithms for Verifying Deep Neural Networks

A Unified View of Piecewise Linear Neural Network Verification

Branch and Bound for Piecewise Linear Neural Network Verification

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning


Sample LDP implementation in Python

Estimating Numerical Distributions under Local Differential Privacy

Locally Differentially Private Frequency Estimation with Consistency

Improving Utility and Security of the Shuffler-based Differential Privacy

Differentially Private Vertical Federated Clustering

Towards a Practical Differentially Private Collaborative Phone Blacklisting System

Differential Privacy: What is all the noise about?


DeepSign: Deep On-Line Signature Verification

IEEE Transactions on Biometrics, Behavior, and Identity Science

SVC-onGoing: Signature Verification Competition

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

ICDAR 2021 Competition on On-Line Signature Verification

Exploiting complexity in pen- and touch-based signature biometrics

International Journal on Document Analysis and Recognition (IJDAR)

Introduction to Presentation Attacks in Signature Biometrics and Recent Advances


MixMatch: A Holistic Approach to Semi-Supervised Learning

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation

Training on Test Data with Bayesian Adaptation for Covariate Shift

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment

Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

State Regularized Policy Optimization on Data with Dynamics Shift


a simple map generator based on ROS

An Efficient B-Spline-Based Kinodynamic Replanning Framework for Quadrotors

Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization

International Conference on Robotics and Automation

Robust Trajectory Planning for Spatial-Temporal Multi-Drone Coordination in Large Scenes


Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

A Survey on Text Classification: From Shallow to Deep Learning

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering


The official codebase for the Real-Time Video Super-Resolution Challenge in Mobile AI (MAI) Workshop@ CVPR 2022 & Advances in Image Manipulation (AIM) Workshop @ ECCV 2022

Revisiting Temporal Modeling for Video Super-resolution

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report


A Seismic Wave Propagation Code by Parallel Finite Difference Method

OpenSWPC: an open-source integrated parallel simulation code for modeling seismic wave propagation in 3D heterogeneous viscoelastic media

FDM Simulation of Seismic Waves, Ocean Acoustic Waves, and Tsunamis Based on Tsunami-Coupled Equations of Motion

Seismic- and Tsunami-Wave Propagation of the 2011 Off the Pacific Coast of Tohoku Earthquake as Inferred from the Tsunami-Coupled Finite-Difference Simulation

Bulletin of the Seismological Society of America

Theoretical basis of the amplitude source location method for volcano‐seismic signals

Journal of Geophysical Research: Solid Earth

Ocean-influenced Rayleigh waves from outer-rise earthquakes and their effects on durations of long-period ground motion

Constraining the source location of the 30 May 2015 (Mw 7.9) Bonin deep‐focus earthquake using seismogram envelopes of high‐frequency P waveforms: occurrence of deep‐focus earthquake at the bottom of a subducting slab

Scattering of teleseismic P-waves by the Japan Trench: A significant effect of reverberation in the seawater column

Geometric effect on a laboratory-scale wavefield inferred from a three-dimensional numerical simulation

FDM Simulation of an Anomalous Later Phase from the Japan Trench Subduction Zone Earthquakes

Effects of sea water on elongated duration of ground motion as well as variation in its amplitude for offshore earthquakes


code associated with ACL 2021 DExperts paper

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Controlled Text Generation with Hidden Representation Transformations


LGEB: Benchmark of Language Generation Evaluation

Know What You Don't Know: Unanswerable Questions for SQuAD

Learning to Ask: Neural Question Generation for Reading Comprehension

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning


Notes on single-cell Hi-C technologies, tools, and data

Single-cell Hi-C reveals cell-to-cell variability in chromosome structure

Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells

3D structures of individual mammalian genomes studied by single-cell Hi-C

Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition

Cell-cycle dynamics of chromosomal organization at single-cell resolution

Cell cycle dynamics of chromosomal organisation at single-cell resolution

Massively multiplex single-cell Hi-C

Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin

Zenodo (CERN European Organization for Nuclear Research)

Three-dimensional genome structures of single diploid human cells

Simultaneous profiling of 3D genome structure and DNA methylation in single human cells


Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Self-Attentive Neural Collaborative Filtering

COMET: Convolutional Dimension Interaction for Collaborative Filtering


Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

Conflict-Averse Gradient Descent for Multi-task Learning

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents

Challenging Common Assumptions in Multi-task Learning

Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning


A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

IEEE Transactions on Knowledge and Data Engineering

A Benchmark for Fairness-Aware Graph Learning


[CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition

Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition


Investigating Impaired Aircraft's Flight Envelope Variation Predictability Using Least-Squares Regression Analysis

Journal of Aerospace Information Systems

Nonlinear Trajectory Based Region of Attraction Estimation for Aircraft Dynamics Analysis

Framework for Estimating Performance and Associated Uncertainty for Modified Aircraft Configurations


Bayesian Poisson tensor factorization

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data

Efficient Nonparametric Tensor Decomposition for Binary and Count Data


BERT with History Answer Embedding for Conversational Question Answering

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

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

Conversational Machine Comprehension: a Literature Review

International Conference on Computational Linguistics

Towards a more Robust Evaluation for Conversational Question Answering

Meeting of the Association for Computational Linguistics


PSF Homogenization kERnels

Convolution kernels for multi-wavelength imaging

Simulating JWST deep extragalactic imaging surveys and physical parameter recovery

Tilted outer and inner structures in edge-on galaxies?

Monthly Notices of the Royal Astronomical Society

Unveiling the Nature of Polar-ring Galaxies from Deep Imaging


A Survey on Session-based Recommender Systems

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations


DARTS: Differentiable Architecture Search

Scalable Bayesian Optimization Using Deep Neural Networks

Scalable Global Optimization via Local Bayesian Optimization

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS


This is the official repo for paper "CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization", accepted by EMNLP 2021

CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue
  Summarization

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality

Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset


Utility library for working with search- and fold-mode PSRFITS pulsar data files.

A Sample of Low-energy Bursts from FRB 121102

THE GREEN BANK TELESCOPE 350 MHz DRIFT-SCAN SURVEY II: DATA ANALYSIS AND THE TIMING OF 10 NEW PULSARS, INCLUDING A RELATIVISTIC BINARY

Arecibo observations of a burst storm from FRB 20121102A in 2016

THE LONG WAVELENGTH ARRAY SOFTWARE LIBRARY

A radio pulsar phase from SGR J1935+2154 provides clues to the magnetar FRB mechanism

The FRB 20121102A November rain in 2018 observed with the Arecibo Telescope

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

Unusually Bright Single Pulses from the Binary Pulsar B1744–24A: A Case of Strong Lensing?

Search for fast radio transients using Arecibo drift-scan observations at 1.4 GHz

The SPAN512 mid-latitude pulsar survey at the Nançay Radio Telescope


Experiments for the Neural Autoregressive Flows paper

Neural Autoregressive Flows

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

Leveraging exploration in off-policy algorithms via normalizing flows

Variation Network: Learning High-level Attributes for Controlled Input Manipulation


Machine Learning with Membership Privacy using Adversarial Regularization

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Practical Blind Membership Inference Attack via Differential Comparisons

Membership Inference Attacks and Defenses in Classification Models

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY '21)

Membership Inference Attacks and Defenses in Neural Network Pruning

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


InstaHide: Instance-hiding Schemes for Private Distributed Learning

mixup: Beyond Empirical Risk Minimization

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?


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

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

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Calibrated Learning to Defer with One-vs-All Classifiers


Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

Explicit Interaction Network for Aspect Sentiment Triplet Extraction

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction


The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation

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


Deep neural network kernel for Gaussian process

Deep Neural Networks as Gaussian Processes

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Mitigating Uncertainty in Document Classification

Input modeling and uncertainty quantification for improving volatile residential load forecasting


StarCoder 2 and The Stack v2: The Next Generation

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

A comprehensive review of State-of-The-Art methods for Java code generation from Natural Language Text


Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

Fast Graph Representation Learning with PyTorch Geometric

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Scalable Geometric Deep Learning on Molecular Graphs


The Fortran 77 codes for the open-loop  and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).

Knowledge-Based Regularization in Generative Modeling

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

High-Efficiency Generative Adversarial Network Model for Chemical Process Fault Diagnosis


Command line tool for launching attacks against Machine Learning Malware detectors.

Malware Detection by Eating a Whole EXE

Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python


Code for Continual Learning of Context-dependent Processing in Neural Networks

Continual learning of context-dependent processing in neural networks

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

Continual Learning Based on OOD Detection and Task Masking


An updated database of virus circular RNAs provides new insights into the biogenesis mechanism of the molecule

VIGA: a one-stop tool for eukaryotic virus identification and genome assembly from next-generation-sequencing data

VIGA: an one-stop tool for eukaryotic Virus Identification and Genome Assembly from next-generation-sequencing data


A benchmark of UCAS-AOD dataset.

YOLOv3: An Incremental Improvement

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Align Deep Features for Oriented Object Detection

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images

DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection


A benchmarking suite for maximum independent set solvers.

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Learning What to Defer for Maximum Independent Sets

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization


Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)

Is Attention Interpretable?

Fastformer: Additive Attention Can Be All You Need

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling

Attentive Pooling with Learnable Norms for Text Representation

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer


IC3 reference implementation: a short, simple, fairly competitive implementation of IC3.  Read it, tune it, extend it, play with it.

IC3 Modulo Theories via Implicit Predicate Abstraction

Model Checking Regular Language Constraints

Partial Quantifier Elimination By Certificate Clauses

Everything You Always Wanted to Know About Generalization of Proof Obligations in PDR

Partial Quantifier Elimination And Property Generation

The Lattice-Theoretic Essence of Property Directed Reachability Analysis

Reasoning about Regular Properties: A Comparative Study


GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation

Towards Quantifiable Dialogue Coherence Evaluation

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax

EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives


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

Training data-efficient image transformers & distillation through attention

The DeepFake Detection Challenge (DFDC) Dataset

Deepfake Detection Scheme Based on Vision Transformer and Distillation

A Timely Survey on Vision Transformer for Deepfake Detection


Corpora for evaluating NLU services (like API.ai, RASA, Microsoft LUIS, ...)

Intent Mining from past conversations for conversational agent

Subword Semantic Hashing for Intent Classification on Small Datasets

International Joint Conference on Neural Network

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

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

Attentively Embracing Noise for Robust Latent Representation in BERT

SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems

Conference on Computational Natural Language Learning


Quick scripts to calculate CLIP text-image similarity

Learning Transferable Visual Models From Natural Language Supervision

Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models

Image Content Generation with Causal Reasoning

ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion

Unmasking the Veil: An Investigation into Concept Ablation for Privacy
  and Copyright Protection in Images

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix


Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation

Modeling Tabular data using Conditional GAN

Synthesizing Tabular Data using Generative Adversarial Networks

DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data

ciDATGAN: Conditional Inputs for Tabular GANs


Official repository for "STAP: Sequencing Task-Agnostic Policies," presented at ICRA 2023.

Dream to Control: Learning Behaviors by Latent Imagination

Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks

STAP: Sequencing Task-Agnostic Policies


Universal Sentence Encoder

BioWordVec, improving biomedical word embeddings with subword information and MeSH

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

MedSTS: A Resource for Clinical Semantic Textual Similarity

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

Generalized Zero-shot ICD Coding

Word embedding mining for SARS-CoV-2 and COVID-19 drug repurposing

An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI

The effects of gender bias in word embeddings on depression prediction


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

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

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

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

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

The merger fraction of post-starburst galaxies in UNIONS

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

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

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

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

Galaxy Mergers in UNIONS -- I: A Simulation-driven Hybrid Deep Learning
  Ensemble for Pure Galaxy Merger Classification


Hipsterize your cat with deep learning. Put glasses on!

Efficient Geometry-aware 3D Generative Adversarial Networks

GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds


BiCVM Code

Multilingual Models for Compositional Distributed Semantics

Multilingual Distributed Representations without Word Alignment

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Word Embeddings for Code-Mixed Language Processing

Empirical Methods in Natural Language Processing

Baselines and test data for cross-lingual inference

MoBiL: A Hybrid Feature Set for Automatic Human Translation Quality Assessment


[AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".

Peer Collaborative Learning for Online Knowledge Distillation

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

prDeep: Robust Phase Retrieval with a Flexible Deep Network

Adaptive Block Compressive Sensing: Toward a Real-Time and Low-Complexity Implementation

DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval


Neural Network Enumeration Tool

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Verification of Deep Convolutional Neural Networks Using ImageStars

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

A Review of Formal Methods applied to Machine Learning

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

VPN: Verification of Poisoning in Neural Networks

ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

North American Chapter of the Association for Computational Linguistics

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Enhancing Aspect-level Sentiment Analysis with Word Dependencies

Conference of the European Chapter of the Association for Computational Linguistics

Improving Constituency Parsing with Span Attention


Neural text-to-text question generation

Machine Comprehension by Text-to-Text Neural Question Generation

Multi-Perspective Context Matching for Machine Comprehension

Evaluating Rewards for Question Generation Models

Open-Domain Question Answering with Pre-Constructed Question Spaces


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

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

Quantified diffuse light in compact groups of galaxies

Tilted outer and inner structures in edge-on galaxies?

Unveiling the Nature of Polar-ring Galaxies from Deep Imaging


A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots (ROBIO2023)

M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases


Efficient face emotion recognition in photos and videos

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

IEEE Transactions on Affective Computing

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

Symposium on Intelligent Systems and Informatics

Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices

EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition

Neural Network Model for Video-Based Analysis of Student’s Emotions in E-Learning

HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images

HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and
  Compound Facial Expression Recognition


Read routines for Eagle HDF5 snapshots

The origin of correlations between mass, metallicity, and morphology in galaxies from the eagle simulation

Monthly notices of the Royal Astronomical Society

Using machine learning to study the kinematics of cold gas in galaxies

Differences in the properties of disrupted and surviving satellites of Milky-Way-mass galaxies in relation to their host accretion histories


Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019)

International Conference on Intelligent Transportation Systems

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

CMRNext: Camera to LiDAR Matching in the Wild for Localization and
  Extrinsic Calibration

Poses as Queries: Image-to-LiDAR Map Localization with Transformers


Unsupervised hyperspectral image super-resolution

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

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

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

Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

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

IEEE Transactions on Computational Imaging


Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

Uncovering the structure of clinical EEG signals with self-supervised learning

Subject-Aware Contrastive Learning for Biosignals

Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling


Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Learning Latent Relations for Temporal Knowledge Graph Reasoning

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

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


Masks recombinant regions in an alignment based on ClonalFrameML output

Genome evolution and the emergence of pathogenicity in avian Escherichia coli

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

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

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

The Journal of antimicrobial chemotherapy

Quantifying bacterial evolution in the wild: A birthday problem for Campylobacter lineages

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


ROS  packages for wireless signal strength based localization

Improving Gaussian Processes based mapping of wireless signals using path loss models

Data Information Fusion From Multiple Access Points for WiFi-Based Self-localization

International Conference on Robotics and Automation

Precise and accurate wireless signal strength mappings using Gaussian processes and path loss models

Fast and robust localization using laser rangefinder and wifi data

International Conference on Multisensor Fusion and Integration for Intelligent Systems


Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

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

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


knot theory and computational algebra software

A refinement of Rasmussen’s S-invariant

On the geography and botany of knot Floer homology

Khovanov homotopy type, Burnside category and products

Rasmussen's spectral sequences and the slN-concordance invariants

The Bar-Natan homology and unknotting number

Immersed Concordances of Links and Heegaard Floer Homology

Equivariant Jones Polynomials of periodic links

Journal of Knot Theory and Its Ramifications

Khovanov homology and periodic links

Khovanov homotopy type, periodic links and localizations

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


[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Variational Autoencoders for Collaborative Filtering

Recommender Systems in the Era of Large Language Models (LLMs)

On Generative Agents in Recommendation


Implementation in MATLAB-based CVX of various convex/concave functions of matrices (matrix geometric means, quantum relative entropy, ...)

Semidefinite Approximations of the Matrix Logarithm

Foundations of Computational Mathematics

Efficient optimization of the quantum relative entropy

Device-independent lower bounds on the conditional von Neumann entropy

Improving PHY-Security of UAV-Enabled Transmission With Wireless Energy Harvesting: Robust Trajectory Design and Communications Resource Allocation

IEEE Transactions on Vehicular Technology

Security of quantum key distribution from generalised entropy accumulation

Defining quantum divergences via convex optimization

Robust Interior Point Method for Quantum Key Distribution Rate Computation

Witnessing negative conditional entropy

Lieb's concavity theorem, matrix geometric means, and semidefinite optimization

Unpredictable Planning Under Partial Observability


Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets

Learning meters of Arabic and English poems with Recurrent Neural Networks: a step forward for language understanding and synthesis


Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

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

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


Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".

Prompt-based Distribution Alignment for Domain Generalization in Text Classification

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

Memory-Based Invariance Learning for Out-of-Domain Text Classification

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


This is outdated -- New version: https://github.com/boyangumn/DCN-New

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

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression

Hierarchically Clustered Representation Learning

A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering


Gated Attention Reader for Text Comprehension

Gated-Attention Readers for Text Comprehension

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Quasar: Datasets for Question Answering by Search and Reading

A Comparative Study of Word Embeddings for Reading Comprehension

YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles

Meeting of the Association for Computational Linguistics

Read and Comprehend by Gated-Attention Reader with More Belief

North American Chapter of the Association for Computational Linguistics


Tools for querying and analysis of genomic data

Chromatin and Single-Cell RNA-Seq Profiling Reveal Dynamic Signaling and Metabolic Transitions during Human Spermatogonial Stem Cell Development

The chromatin remodelers RSC and ISW1 display functional and chromatin-based promoter antagonism

Establishment of developmental gene silencing by ordered polycomb complex recruitment in early zebrafish embryos

Specialization of the chromatin remodeler RSC to mobilize partially-unwrapped nucleosomes

Integration host factor regulates colonization factors in the bee gut symbiont Frischella perrara

Maternally-inherited anti-sense piRNAs antagonize transposon expression in teleost embryos

Ash1 and Tup1 dependent repression of the Saccharomyces cerevisiae HO promoter requires activator-dependent nucleosome eviction


The data and code for NumerSense (EMNLP2020)

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback

Tailoring Self-Rationalizers with Multi-Reward Distillation


W2VV++: A fully deep learning solution for ad-hoc video search

W2VV++: Fully Deep Learning for Ad-hoc Video Search

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

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID


Tools for processing and analyzing JWST data

Discovery and properties of ultra-high redshift galaxies (9 < z < 12) in the JWST ERO SMACS 0723 Field

The JWST Hubble Sequence: The Rest-frame Optical Evolution of Galaxy Structure at 1.5 < z < 6.5

EPOCHS VI: The Size and Shape Evolution of Galaxies since z ~ 8 with JWST Observations

EPOCHS. II. The Ultraviolet Luminosity Function from 7.5 z 2 of Deep, Blank Fields from the PEARLS Survey and Public JWST Data

EPOCHS VII: Discovery of high redshift ($6.5 < z < 12$) AGN candidates in JWST ERO and PEARLS data

EPOCHS Paper II: The Ultraviolet Luminosity Function from $7.5

A JWST investigation into the bar fraction at redshifts 1 ≤ z ≤ 3

JEMS: A deep medium-band imaging survey in the Hubble Ultra-Deep Field with JWST NIRCam & NIRISS

Extending the extinction law in 30 Doradus to the infrared with JWST

JWST observations of the Ring Nebula (NGC 6720): I. Imaging of the rings, globules, and arcs


A Pytorch implementation of missing data imputation using optimal transport.

Missing Data Imputation using Optimal Transport

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach


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

The Hidden Vulnerability of Distributed Learning in Byzantium

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

ScionFL: Efficient and Robust Secure Quantized Aggregation

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders


Spatially Transformed Adversarial Examples with TensorFlow

Robustness of Rotation-Equivariant Networks to Adversarial Perturbations

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions


Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Deep learning based Sequential model for malware analysis using Windows exe API Calls

Data Augmentation Based Malware Detection using Convolutional Neural Networks

A Benchmark API Call Dataset for Windows PE Malware Classification

Analyzing the performance of long short‐term memory architectures for malware detection models

Concurrency and Computation: Practice and Experience

Channel Features and API Frequency-Based Transformer Model for Malware Identification


NeurIPS 2020, "A Topological Filter for Learning with Label Noise".

Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels


Python code for genetic marker selection using linear programming

Optimal marker gene selection for cell type discrimination in single cell analyses

Analysis and Visualization of Spatial Transcriptomic Data

Predictive and robust gene selection for spatial transcriptomics

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Distributional Reduction: Unifying Dimensionality Reduction and
  Clustering with Gromov-Wasserstein


GuwenBERT: 古文预训练语言模型（古文BERT）  A Pre-trained Language Model for Classical Chinese (Literary Chinese)

SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts

Surveying the Dead Minds: Historical-Psychological Text Analysis with
  Contextualized Construct Representation (CCR) for Classical Chinese

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

Period Classification in Chinese Historical Texts

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Zuo Zhuan Ancient Chinese Dataset for Word Sense Disambiguation

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop

A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning

Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models


R package: determining cutoff values from bimodal data

Analysis of Fungal Genomes Reveals Commonalities of Intron Gain or Loss and Functions in Intron-Poor Species

Unravelling homologous recombination repair deficiency and therapeutic opportunities in soft tissue and bone sarcoma

Analysis of fungal genomes reveals commonalities of intron loss/gain and functions in intron-poor species

Rtf1-dependent transcriptional pausing regulates cardiogenesis

bioRxiv : the preprint server for biology


SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations


PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)

On the Strong Correlation Between Model Invariance and Generalization

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images


Topochecker, a topological model checker

Model Checking Spatial Logics for Closure Spaces

VoxLogicA: a Spatial Model Checker for Declarative Image Analysis (Extended Version)

From Collective Adaptive Systems to Human Centric Computation and Back: Spatial Model Checking for Medical Imaging


Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

"Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking

Unsupervised Learning of Hierarchical Conversation Structure

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans


Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

Towards Evaluating the Robustness of Neural Networks

Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks

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


An R package for open-channel hydraulics


Modular meta-learning

Neural Relational Inference with Fast Modular Meta-learning

Learning Quickly to Plan Quickly Using Modular Meta-Learning

Neural Relational Inference with Efficient Message Passing Mechanisms

Modular meta-learning in abstract graph networks for combinatorial generalization


MQT ProblemSolver - A MQT Tool for Solving Problems Using Quantum Computing

Towards an Automated Framework for Realizing Quantum Computing Solutions

A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem

Reducing the Compilation Time of Quantum Circuits Using Pre-Compilation on the Gate Level


Causal discovery for time series

DYNOTEARS: Structure Learning from Time-Series Data

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Castor: Causal Temporal Regime Structure Learning


Information about the Challenge

Automated Scoring for Reading Comprehension via In-context BERT Tuning

Automatic Short Math Answer Grading via In-context Meta-learning


Creative Commons Attribution 4.0 International

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

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need

Are Neural Ranking Models Robust?


Dual Graph Convolution Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Revisiting Semi-Supervised Learning with Graph Embeddings

Deep Learning on Graphs: A Survey

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


MultiCite code and data. Models are available on Huggingface.

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

A meta-analysis of semantic classification of citations

Scientific document processing: challenges for modern learning methods

International journal on digital libraries


Supplementary material for paper "SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula"

PyOD: A Python Toolbox for Scalable Outlier Detection

Music Artist Classification with Convolutional Recurrent Neural Networks

SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources


Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples

Towards a Robust Deep Neural Network in Texts: A Survey

Towards Variable-Length Textual Adversarial Attacks

Perceptual Models of Machine-Edited Text


Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

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

Reconstructive Neuron Pruning for Backdoor Defense

Backdoor Cleansing with Unlabeled Data

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

Nearest is Not Dearest: Towards Practical Defense Against Quantization-Conditioned Backdoor Attacks

Backdoor Contrastive Learning via Bi-level Trigger Optimization

Model-Contrastive Learning for Backdoor Defense

Fisher Information guided Purification against Backdoor Attacks


[MM 2022 Oral] MM-ALT: A Multimodal Automatic Lyric Transcription System

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

SpeechBrain: A General-Purpose Speech Toolkit

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction


Contrastive evaluation of pronoun translation in neural machine translation

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation

Document-level Neural MT: A Systematic Comparison

HAL (Le Centre pour la Communication Scientifique Directe)

Context in Neural Machine Translation: A Review of Models and Evaluations

Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation

Exploring Paracrawl for Document-level Neural Machine Translation

On Measuring Context Utilization in Document-Level MT Systems


Bayesian optimization and active learning with likelihood-weighted acquisition functions

Bayesian optimization with output-weighted optimal sampling

Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification

Informative path planning for anomaly detection in environment exploration and monitoring


Labels and other data for the paper "Are we done with ImageNet?"

Are we done with ImageNet?

Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations

MM-SpuBench: Towards Better Understanding of Spurious Biases in
  Multimodal LLMs


A Python package to intercalibrate light curves.

AGN STORM 2. I. First results: A Change in the Weather of Mrk 817

Monitoring AGNs with Hβ Asymmetry. III. Long-term Reverberation Mapping Results of 15 Palomar-Green Quasars

Reverberation Mapping of Two Luminous Quasars: The Broad-line Region Structure and Black Hole Mass

Velocity-resolved Reverberation Mapping of Changing-look Active Galactic Nucleus NGC 4151 during Outburst Stage: Evidence for Kinematics Evolution of Broad-line Region

Broad-line region in NGC 4151 monitored by two decades of reverberation mapping campaigns. I. Evolution of structure and kinematics

Searching for quasar candidates with periodic variations from the Zwicky Transient Facility: results and implications

The Seoul National University AGN Monitoring Project. III. Hβ Lag Measurements of 32 Luminous Active Galactic Nuclei and the High-luminosity End of the Size–Luminosity Relation

Monitoring AGNs with Hβ Asymmetry. IV. First Reverberation Mapping Results of 14 Active Galactic Nuclei

The Astrophysical Journal Supplement Series

Revisiting the dust torus size-luminosity relation based on a uniform
  reverberation mapping analysis

Velocity-resolved Reverberation Mapping of Changing-look Active Galactic
  Nucleus NGC 4151 during Outburst Stage. II. Four Season Observation Results


Gradient-Based Neural DAG Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Ordering-Based Causal Discovery with Reinforcement Learning

Differentiable DAG Sampling

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

GFlowCausal: Generative Flow Networks for Causal Discovery

Reframed GES with a Neural Conditional Dependence Measure

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization


Code and documentation for experiments in the TreeExplainer paper

Explainable AI for Trees: From Local Explanations to Global Understanding

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Model independent feature attributions: Shapley values that uncover non-linear dependencies


Distributionally robust neural networks for group shifts

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Distributionally Robust Neural Networks

International Conference on Learning Representations

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

Active Learning Helps Pretrained Models Learn the Intended Task

Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data

Provable Domain Generalization via Invariant-Feature Subspace Recovery

Discovering and Mitigating Visual Biases through Keyword Explanation

On the Foundations of Shortcut Learning

Learning to Split for Automatic Bias Detection

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization


LLVM Obfuscator

Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity

XDA: Accurate, Robust Disassembly with Transfer Learning

On the Characteristics of Symbolic Execution in the Problem of Assessing the Quality of Obfuscating Transformations

NeuDep: neural binary memory dependence analysis

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

IOLLVM: enhance version of OLLVM

Artificial Intelligence Trends & Technologies


Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Exploring the Benefits of Training Expert Language Models over Instruction Tuning

Personalized Language Modeling from Personalized Human Feedback


[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

On the Adversarial Robustness of Multi-Modal Foundation Models

Understanding Zero-Shot Adversarial Robustness for Large-Scale Models

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings
  for Robust Large Vision-Language Models


Manifold-learning flows (ℳ-flows)

Neural Spline Flows

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

Flows for simultaneous manifold learning and density estimation

Rectangular Flows for Manifold Learning

Multi-chart flows.


A Python Toolbox for the analysis of electrophysiological data

FiNN: A toolbox for neurophysiological network analysis

Directional Absolute Coherence: a phase-based measure of effective connectivity for neurophysiology data

Direct modulation index: A measure of phase amplitude coupling for neurophysiology data


Wide Residual Networks (WideResNets) in PyTorch

Wide Residual Networks

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks

How Does Learning Rate Decay Help Modern Neural Networks?

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks

FreezeOut: Accelerate Training by Progressively Freezing Layers

Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation

Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin

MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks

Rare Gems: Finding Lottery Tickets at Initialization

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape


DRUM end to end differentiable rule mining on knowledge graphs

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

Relational Message Passing for Knowledge Graph Completion

Knowledge Graph Reasoning with Relational Digraph

Knowledge Graph Reasoning with Relational Directed Graph

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

An original model for multi-target learning of logical rules for knowledge graph reasoning


NAACL 2021 - Progressive Generation of Long Text

Toward Diverse Text Generation with Inverse Reinforcement Learning

Progressive Generation of Long Text with Pretrained Language Models

Jointly Measuring Diversity and Quality in Text Generation Models

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Progressive Generation of Long Text.


BERT model trained from scratch on Finnish

Multilingual is not enough: BERT for Finnish

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

A Finnish news corpus for named entity recognition

KR-BERT: A Small-Scale Korean-Specific Language Model

Pre-training Polish Transformer-based Language Models at Scale

Large-Scale Contextualised Language Modelling for Norwegian

The Current State of Finnish NLP

MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning

Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users

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

Towards Fully Bilingual Deep Language Modeling