paper collection for recommendation aspet

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Automated Embedding Size Search in Deep Recommender Systems

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

Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction

Unbiased Ad Click Prediction for Position-aware Advertising Systems

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation

Field-aware probabilistic embedding neural network for CTR prediction

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Task-distribution-aware Meta-learning for Cold-start CTR Prediction

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA


Data and analysis scripts for our Embryo Timecourse paper.

Stalled developmental programs at the root of pediatric brain tumors

Transcriptomic entropy benchmarks stem cell-derived cardiomyocyte maturation against endogenous tissue at single cell level

A single-cell time-lapse of mouse prenatal development from gastrula to birth

Defining totipotency using criteria of increasing stringency


Implementation of Meta-Learning with Latent Embedding Optimization

Interventional Few-Shot Learning

Structured Prediction for Conditional Meta-Learning

Deep Amortized Clustering

A Structured Prediction Approach for Conditional Meta-Learning.


Multilingual AMR Parsing with Noisy Knowledge Distillation

Multilingual Abstract Meaning Representation for Celtic Languages

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation

Cultural Adaptation of Recipes


Utilities to calculate kinematic distances

The HI/OH/Recombination line survey of the inner Milky Way (THOR): data release 2 and H I overview

The Galactic dynamics revealed by the filamentary structure in atomic hydrogen emission

The diffuse interstellar band around 8620 Å II. Kinematics and distance of the DIB carrier

Atomic and molecular gas properties during cloud formation

Probing the global dust properties and cluster formation potential of the giant molecular cloud G148.24+00.41

Monthly notices of the Royal Astronomical Society


Adversarial Graph Augmentation to Improve Graph Contrastive Learning

Graph Self-Supervised Learning: A Survey

Towards Explanation for Unsupervised Graph-Level Representation Learning

Towards Generalised Pre-Training of Graph Models


Gas Reliability Analysis Integrated Library: algorithms for natural gas pipeline optimization, optimal control, and simulation

An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems

Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems

Linear System Analysis and Optimal Control of Natural Gas Dynamics in Pipeline Networks


Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

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

SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation

Latent feature reconstruction for unsupervised anomaly detection

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

IEEE transactions on neural networks and learning systems


Benchmark quantum circuits before and after optimization.

t|ket⟩: a retargetable compiler for NISQ devices

Reducing the number of non-Clifford gates in quantum circuits

An Efficient Quantum Compiler that reduces T count

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

Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices


Code for Backdoor Attacks Against Dataset Distillation

Dataset Condensation with Gradient Matching

Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

Dataset Distillation


Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.

Deep Learning on Graphs: A Survey

Semi-supervised Learning on Graphs with Generative Adversarial Nets

International Conference on Information and Knowledge Management

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


White-box Fairness Testing through Adversarial Sampling

Fairness Testing: A Comprehensive Survey and Analysis of Trends

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Explanation-Guided Fairness Testing through Genetic Algorithm

Proceedings of the 44th International Conference on Software Engineering

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling

Search-based fairness testing for regression-based machine learning systems


This repository contains a Python implementation of the l1 periodogram as described in Hara, Boué, Laskar, Correia 2017, MNRAS, Vol. 464, Issue 1, p.1220-1246, with a few additions.

Investigating the architecture and internal structure of the TOI-561 system planets with CHEOPS, HARPS-N, and TESS

Monthly Notices of the Royal Astronomical Society

A hot mini-Neptune and a temperate, highly eccentric sub-Saturn around the bright K-dwarf TOI-2134

Teegarden's Star revisited: A nearby planetary system with at least
  three planets

A continuous multiple hypothesis testing framework for optimal exoplanet detection


Open Data Commons Open Database License v1.0

Cross-lingual metaphor detection.

Metaphor Detection with Cross-Lingual Model Transfer

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Evaluation of Word Vector Representations by Subspace Alignment

Empirical Methods in Natural Language Processing

FakeFlow: Fake News Detection by Modeling the Flow of Affective Information

Contextual Modulation for Relation-Level Metaphor Identification

Exploring Metaphorical Senses and Word Representations for Identifying Metonyms

Adaptation of Word-Level Benchmark Datasets for Relation-Level Metaphor Identification

Meeting of the Association for Computational Linguistics


Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

Looking into the cradle of the grave: J22564-5910, a young post-merger hot subdwarf?

Orbital and atmospheric parameters of two wide O-type subdwarf binaries: BD-11^o162 and Feige 80.


[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline

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

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations


The Python PSDD Package

Three Modern Roles for Logic in AI

Symposium on Principles of Database Systems

Tractable Boolean and Arithmetic Circuits

Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction

FlowPG: Action-constrained Policy Gradient with Normalizing Flows


Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences

Feedback GAN for DNA optimizes protein functions

A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation

A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences

Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays


Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication

Developmentally motivated emergence of compositional communication via template transfer


Rationalizing Neural Predictions

Invariant Rationalization

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control


Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature

Understanding Black-box Predictions via Influence Functions

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Studying Large Language Model Generalization with Influence Functions

Training Data Attribution via Approximate Unrolled Differentiation


Tutorial on Gaussian Processes

Machine learning of linear differential equations using Gaussian processes

Inferring solutions of differential equations using noisy multi-fidelity data

Deep Multi-fidelity Gaussian Processes


[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

Hydra-MDP: End-to-end Multimodal Planning with Multi-target
  Hydra-Distillation

End-to-End Autonomous Driving without Costly Modularization and 3D
  Manual Annotation

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic


Tunable Approach for Median Polish of Ratio -- Biological Abundance Batch Effect Removal

Large-scale deep multi-layer analysis of Alzheimer’s disease brain reveals strong proteomic disease-related changes not observed at the RNA level

Integrated proteomics reveals brain-based cerebrospinal fluid biomarkers in asymptomatic and symptomatic Alzheimer’s disease

Multivariant Transcriptome Analysis Identifies Modules and Hub Genes Associated with Poor Outcomes in Newly Diagnosed Multiple Myeloma Patients

Unbiased Classification of the Human Brain Proteome Resolves Distinct Clinical and Pathophysiological Subtypes of Cognitive Impairment

The decreased astrocyte-microglia interaction reflects the early characteristics of Alzheimer's disease


VAEs and nonlinear ICA: a unifying framework

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Identifying through Flows for Recovering Latent Representations


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

Are Multilingual Models Effective in Code-Switching?

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling


Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

graph2vec: Learning Distributed Representations of Graphs

Anonymous Walk Embeddings

Learning distributed representations of graphs with Geo2DR

Contrastive Graph Few-Shot Learning


Time Series Analysis Models Source Code with Deep Learning Algorithms

Temporal Cross-Effects in Knowledge Tracing

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction

AutoAI-TS: AutoAI for Time Series Forecasting

Learning Dynamic Embeddings for Temporal Knowledge Graphs

Real-time Data Infrastructure at Uber

FeatTS: Feature-based Time Series Clustering

TSExplain: Surfacing Evolving Explanations for Time Series

Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network


A new annotation database useful to train unbiased and discrimination-aware face recognition algorithms

SensitiveNets: Learning Agnostic Representations with Application to Face Images

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment


Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study

TVShowGuess: Character Comprehension in Stories as Speaker Guessing

Multi-level Contrastive Learning for Script-based Character Understanding


Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents

Robust Forecasting through GeneralizedSynchronization in Reservoir Computing

A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks


Benchmark for Answering Existential First Order Queries with Single Free Variable (NeurIPS dataset and benchmark 2021)

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

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

Logic Embeddings for Complex Query Answering


{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation


Few-Shot Question Answering by Pretraining Span Selection

Simulating Bandit Learning from User Feedback for Extractive Question Answering

Pre-training Language Models with Deterministic Factual Knowledge

Prompting-based Synthetic Data Generation for Few-Shot Question
  Answering


BERT models for many languages created from Wikipedia texts

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

ParsiNLU: A Suite of Language Understanding Challenges for Persian

WikiBERT models: deep transfer learning for many languages


Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Benchmarking Graph Neural Networks

Understanding Attention and Generalization in Graph Neural Networks

Automated Data Augmentations for Graph Classification


A paper list of research about social knowledge graph

Motifs in Temporal Networks

An Experimental Study of State-of-the-Art Entity Alignment Approaches

IEEE Transactions on Knowledge and Data Engineering

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

Personal Knowledge Graphs A Research Agenda

PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes

Fast Attributed Multiplex Heterogeneous Network Embedding

Context-Aware Temporal Knowledge Graph Embedding

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Real-Time Streaming Graph Embedding Through Local Actions

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way


Unsupervised clustering method for stellar clusters.

pyUPMASK: an improved unsupervised clustering algorithm

An analysis of the most distant catalogued open clusters – Re-assessing
  fundamental parameters with Gaia EDR3 and

The early evolution of young massive clusters. II. The kinematic history of NGC 6618 / M 17


Graph Self-Supervised Learning: A Survey

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning

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


[ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Kronecker-factored approximate Fisher matrix for convolution layers


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

Probing Biomedical Embeddings from Language Models

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

Improving Medical NLI Using Context-Aware Domain Knowledge

Joint Conference on Lexical and Computational Semantics


Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Picking Winning Tickets Before Training by Preserving Gradient Flow

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations


This repository presents a comprehensive implementation of collaborative filtering recommender systems.

Neural Collaborative Filtering

The Why and How of Nonnegative Matrix Factorization

Neural Network Matrix Factorization

A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems


Exo-Transmit radiative transfer code for calculating exoplanet transmission spectra

Exo-Transmit: An Open-Source Code for Calculating Transmission Spectra for Exoplanet Atmospheres of Varied Composition

Publications of the Astronomical Society of the Pacific

Zodiacal Exoplanets in Time (ZEIT). IX. A Flat Transmission Spectrum and a Highly Eccentric Orbit for the Young Neptune K2-25b as Revealed by Spitzer

Stellar Activity Effects on Moist Habitable Terrestrial Atmospheres around M Dwarfs

Helium-enhanced planets along the upper edge of the radius valley


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

Adversarial Robustness Against the Union of Multiple Perturbation Models

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

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

Adversarial Attack Generation Empowered by Min-Max Optimization

Optimization and Optimizers for Adversarial Robustness

Adversarial Robustness Against the Union of Multiple Threat Models

International Conference on Machine Learning


fastText + Bloom embeddings for compact, full-coverage vectors with spaCy

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

Multi hash embeddings in spaCy

Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

Hybrid lemmatization in HuSpaCy


The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

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

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications

ArT: All-round Thinker for Unsupervised Commonsense Question-Answering


Source for paper "Attacking Binarized Neural Networks"

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Attacking Binarized Neural Networks


Estimating Example Difficulty using Variance of Gradients

TRIAGE: Characterizing and auditing training data for improved regression

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness
  Characterization Methods for Data-Centric AI


Decoupled Weight Decay Regularization

Cyclical Learning Rates for Training Neural Networks

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Efficient Neural Audio Synthesis

End-to-end music source separation: is it possible in the waveform domain?


Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation

Joint Optimization of Tokenization and Downstream Model

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing


This dataset contains all the COVID-19 related data from the paper "An Augmented Multilingual Twitter Dataset for Studying the COVID-19 Infodemic"

BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs

Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset

An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US

Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI


Codebase for An Efficient Framework for Clustered Federated Learning.

FedLab: A Flexible Federated Learning Framework

Architectural Patterns for the Design of Federated Learning Systems

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

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

Byzantine-Robust Clustered Federated Learning


Harvey: A Greybox Fuzzer for Smart Contracts

ContractGuard: Defend Ethereum Smart Contracts with Embedded Intrusion Detection

Targeted Greybox Fuzzing with Static Lookahead Analysis

Mutation Testing for Ethereum Smart Contract

Learning Inputs in Greybox Fuzzing


The Lowest-frequency Fast Radio Bursts: Sardinia Radio Telescope Detection of the Periodic FRB 180916 at 328 MHz

Milliarcsecond Localization of the Repeating FRB 20201124A

The Fast Radio Burst FRB 20201124A in a star forming region: constraints to the progenitor and multiwavelength counterparts

Multiband Detection of Repeating FRB 20180916B

The New Magnetar SGR J1830−0645 in Outburst

The first seven months of the 2020 X-ray outburst of the magnetar SGR J1935+2154

Re-Analysis of Breakthrough Listen Observations of FRB 121102: Polarization Properties of Eight New Spectrally Narrow Bursts

The northern cross fast radio burst project – II. Monitoring of repeating FRB 20180916B, 20181030A, 20200120E, and 20201124A

Monthly notices of the Royal Astronomical Society

IKT 16 aka PSR J0058-7218: discovery of a 22 ms energetic rotation-powered pulsar in the Small Magellanic Cloud

Monthly Notices of the Royal Astronomical Society: Letters


Arabic nested named entity recognition

Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT

Arabic Fine-Grained Entity Recognition

AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition

UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition


HLA-I ligand predictor

Predicting Antigen Presentation—What Could We Learn From a Million Peptides?

Computational cancer neoantigen prediction: current status and recent advances

Combined assessment of MHC binding and antigen abundance improves T cell epitope predictions

Implications of Antigen Selection on T Cell-Based Immunotherapy

Unraveling tumor specific neoantigen immunogenicity prediction: a comprehensive analysis


A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Learning feature spaces for regression with genetic programming

Genetic programming and evolvable machines

Evolutionary music: applying evolutionary computation to the art of creating music

Genetic Programming and Evolvable Machines

EvoU-Net: An Evolutionary Deep Fully Convolutional Neural Network for Medical Image Segmentation

PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)

Optimization in Machine Learning and Applications

OPTIMIZATION IN MACHINE LEARNING AND APPLICATIONS

Evolving deep neural networks using coevolutionary algorithms with multi-population strategy

Exploring the Evolution of GANs through Quality Diversity

Genetic and Evolutionary Computation Conference

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation

Evolutionary NetArchitecture Search for Deep Neural Networks Pruning

Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence

A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization

Artificial Neural Network Trained by Plant Genetic-Inspired Optimizer

Springer tracts in nature-inspired computing


Graphical-model based estimation and inference for differential privacy

Differentially Private Query Release Through Adaptive Projection

Private Synthetic Data for Multitask Learning and Marginal Queries


Learning Passage Impacts for Inverted Indexes

Faster Learned Sparse Retrieval with Guided Traversal

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

ACM transactions on office information systems


3D massively parallel general relativictic MHD code HARMPI

The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project

The Astrophysical Journal Supplement Series

Long-term GRMHD simulations of neutron star merger accretion discs: implications for electromagnetic counterparts

The disc-jet symbiosis emerges: modelling the emission of Sagittarius A* with electron thermodynamics

The role of magnetic field geometry in the evolution of neutron star merger accretion discs

Accelerating AGN jets to parsec scales using general relativistic MHD simulations

Sgr A* near-infrared flares from reconnection events in a magnetically arrested disc

EM counterparts of structured jets from 3D GRMHD simulations

General-relativistic Simulations of Four States of Accretion onto Millisecond Pulsars

A parameter survey of Sgr A* radiative models from GRMHD simulations
  with self-consistent electron heating

Sgr A* X-ray flares from non-thermal particle acceleration in a magnetically arrested disc


Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Deep Roto-Translation Scattering for Object Classification

Differentially Private Learning Needs Better Features (or Much More Data)

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails


[ACMMM 2024] Point-GCC: Universal Self-supervised 3D Scene Pre-training via  Geometry-Color Contrast

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?


Baseline method for sound event localization task of DCASE 2021 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

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

ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection

A Dataset of Dynamic Reverberant Sound Scenes with Directional Interferers for Sound Event Localization and Detection


Inter-annotator agreement for Brat annotation projects

Named Entity Recognition in Estonian 19th Century Parish Court Records

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

An Annotated Corpus of Textual Explanations for Clinical Decision Support

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop


Tools for processing treebank trees

Unlexicalized Transition-based Discontinuous Constituency Parsing

Neural Discontinuous Constituency Parsing

Empirical Methods in Natural Language Processing

Span-Based LCFRS-2 Parsing

International Workshop/Conference on Parsing Technologies

discoursegraphs: A graph-based merging tool and converter for multilayer annotated corpora

Nordic Conference of Computational Linguistics

Parsing German: How Much Morphology Do We Need?

Discosuite - A parser test suite for German discontinuous structures

Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish


R-Drop: Regularized Dropout for Neural Networks

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

The Path to Continuous Domain Adaptation Improvements by HW-TSC for the WMT23 Biomedical Translation Shared Task

Proceedings of the Eighth Conference on Machine Translation

Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task

BIT-Xiaomi’s System for AutoSimTrans 2022

Proceedings of the Third Workshop on Automatic Simultaneous Translation


KHGT, AAAI 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation


This is an official repository for "Artificial Text Detection via Examining the Topology of Attention Maps" presented at EMNLP 2021 conference.

To ChatGPT, or not to ChatGPT: That is the question!

Can BERT eat RuCoLA? Topological Data Analysis to Explain

DEMASQ: Unmasking the ChatGPT Wordsmith


Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms

IEEE European Symposium on Security and Privacy

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries

Evaluation of Open-Source Tools for Differential Privacy


An Unsupervised Distance Learning Framework for Multimedia Retrieval

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

A BFS-Tree of ranking references for unsupervised manifold learning

Efficient Rank-Based Diffusion Process with Assured Convergence

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning


Intrinsic evaluation of word vectors

Evaluating word embedding models: methods and experimental results

APSIPA Transactions on Signal and Information Processing

Evaluation of Word Vector Representations by Subspace Alignment

Morphological Priors for Probabilistic Neural Word Embeddings

Correlation-based Intrinsic Evaluation of Word Vector Representations

Relational Word Embeddings

What Do Self-Supervised Speech Models Know About Words?

Cross-Lingual Syntactically Informed Distributed Word Representations

Conference of the European Chapter of the Association for Computational Linguistics

Explaining Word Embeddings via Disentangled Representation

International Joint Conference on Natural Language Processing


About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

LoRA: Low-Rank Adaptation of Large Language Models

Are NLP Models really able to Solve Simple Math Word Problems?

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization


Creative Commons Attribution Share Alike 4.0 International

A global homogenised database of active faults maintained by the GEM Foundation

The GEM Global Active Faults Database

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods

Influence of tectonics on global scale distribution of geological methane emissions

InSAR-Based Mapping to Support Decision-Making after an Earthquake

Kinematics and Dynamics of the 24 January 2020 M-w 6.7 Elazig, Turkey Earthquake

Clustering Analysis of Seismicity in the Anatolian Region with Implications for Seismic Hazard

A New Lithospheric Density and Magnetic Susceptibility Model of Iran, Starting From High‐Resolution Seismic Tomography

Zenodo (CERN European Organization for Nuclear Research)


AN IMPRINT OF MOLECULAR CLOUD MAGNETIZATION IN THE MORPHOLOGY OF THE DUST POLARIZED EMISSION

Using Herschel and Planck observations to delineate the role of magnetic fields in molecular cloud structure

From parallel to perpendicular – On the orientation of magnetic fields in molecular clouds

Monthly Notices of the Royal Astronomical Society

Could bow-shaped magnetic morphologies surround filamentary molecular clouds?

The history of dynamics and stellar feedback revealed by the H I filamentary structure in the disk of the Milky Way

The relative orientation between the magnetic field and gradients of surface brightness within thin velocity slices of 12CO and 13CO emission from the Taurus molecular cloud

The Galactic dynamics revealed by the filamentary structure in atomic hydrogen emission


SRAToolkit has been REPLACED - see README

A global reference for human genetic variation

Genomic introgression through interspecific hybridization counteracts genetic bottleneck during soybean domestication

Species classifier choice is a key consideration when analysing low-complexity food microbiome data

Maize transposable elements contribute to long non-coding RNAs that are regulatory hubs for abiotic stress response

LncFunNet: an integrated computational framework for identification of functional long noncoding RNAs in mouse skeletal muscle cells

11:40-11:50 Comparison of histone H3K4me3 between IVF and ICSI technologies and between boy and girl offspring

Alterations of the gut microbiota associated with the occurrence and progression of viral hepatitis

Frontiers in cellular and infection microbiology

Comparative quantitative trait loci analysis framework reveals relationships between salt stress responsive phenotypes and pathways


Model descriptions and weights for all the variations of the SonoNet for real-time fetal standard scan plane detection.

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain

Measuring proximity to standard planes during fetal brain ultrasound
  scanning


Small tools to assist wind energy simulations

The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs


Public Releases of SPM12 - see https://github.com/spm/spm for the Development Version

The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity

Heterogeneity in the links between sleep arousals, amyloid-β, and cognition

Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI

bioRxiv : the preprint server for biology

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields


Confidence sequences and uniform boundaries

Game-theoretic statistics and safe anytime-valid inference

Sequential estimation of quantiles with applications to A/B testing and best-arm identification

Confidence sequences for sampling without replacement

Comparing Sequential Forecasters

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Estimating means of bounded random variables by betting


Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Speaker Diarization with LSTM

Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering

Multimodal Clustering with Role Induced Constraints for Speaker Diarization


Advanced Techniques for Ecological Niche Modeling Made Easy

The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability


Understanding the Difficulty of Training Transformers

Very Deep Transformers for Neural Machine Translation

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

B2T Connection: Serving Stability and Performance in Deep Transformers

Born for Auto-Tagging: Faster and better with new objective functions


[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation


A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

On PAC-Bayesian Bounds for Random Forests

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables

On Margins and Generalisation for Voting Classifiers


code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720

Learning Transferable Visual Models From Natural Language Supervision

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

Multitask Vision-Language Prompt Tuning


[ICML 2024] Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Diffusion Posterior Sampling for General Noisy Inverse Problems

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Denoising Diffusion Models for Plug-and-Play Image Restoration


Simulation-Enabled Estimation of Kinetic Rates - Version 2

SEEKR: Simulation Enabled Estimation of Kinetic Rates, A Computational Tool to Estimate Molecular Kinetics and Its Application to Trypsin-Benzamidine Binding.

Multiscale Estimation of Binding Kinetics Using Brownian Dynamics, Molecular Dynamics and Milestoning

Quantitative Ranking of Ligand Binding Kinetics with a Multiscale Milestoning Simulation Approach

The journal of physical chemistry letters

Predicting Ligand Binding Kinetics Using a Markovian Milestoning with Voronoi Tessellations Multiscale Approach

Journal of chemical theory and computation

SEEKR2: Versatile Multiscale Milestoning Utilizing the OpenMM Molecular Dynamics Engine

Journal of chemical information and modeling


Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Differentially Private Bias-Term Fine-tuning of Foundation Models

Differentially Private Optimization on Large Model at Small Cost

Private Fine-tuning of Large Language Models with Zeroth-order Optimization

LLM-PBE: Assessing Data Privacy in Large Language Models

Delving into Differentially Private Transformer

On the accuracy and efficiency of group-wise clipping in differentially private optimization

Pre-training Differentially Private Models with Limited Public Data


Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Crop mapping from image time series: deep learning with multi-scale label hierarchies

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations


Causal Discovery from Nonstationary/Heterogeneous Data.

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

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour

Castor: Causal Temporal Regime Structure Learning


Creative Commons Attribution 4.0 International

Automatically harvested multilingual contrastive word sense disambiguation test sets for machine translation

The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems

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

Democratizing Neural Machine Translation with OPUS-MT

The MUCOW word sense disambiguation test suite at WMT 2020

Empirical Methods in Natural Language Processing

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

Meeting of the Association for Computational Linguistics


Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.

PyClone-VI: scalable inference of clonal population structures using whole genome data

Reconstructing Complex Cancer Evolutionary Histories from Multiple Bulk DNA Samples Using Pairtree

Reconstructing cancer phylogenies using Pairtree, a clone tree reconstruction algorithm

Pairtree: fast reconstruction of cancer evolutionary history using pairwise mutation relationships

Whole-Genome Sequencing Identifies Structural Variation As a Key Driver of Disease Relapse and Aggressive Clinical Behavior in Multiple Myeloma


Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Structured Object-Aware Physics Prediction for Video Modeling and Planning

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

Variational Tracking and Prediction with Generative Disentangled State-Space Models


Fighting an Infodemic: COVID-19 Fake News Dataset

National Conference on Artificial Intelligence

A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles

A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection

Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs


a toolbox for metabolomic data analysis, visualization and ‘omic’ integration

Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data

Metabolomics: A Way Forward for Crop Improvement

Plants Metabolome Study: Emerging Tools and Techniques

Advances in metabolome information retrieval: turning chemistry into biology. Part II: biological information recovery


Fast genealogical relationship evaluation of bacterial isolates with WGS data.

Genome-by-genome approach for fast bacterial genealogical relationship evaluation

Comparative Genomics of Shiga Toxin-Producing Escherichia coli Strains Isolated from Pediatric Patients with and without Hemolytic Uremic Syndrome from 2000 to 2016 in Finland

High Prevalence and Persistence of Escherichia coli Strains Producing Shiga Toxin Subtype 2k in Goat Herds

Genomic Insights Into Clinical Shiga Toxin-Producing Escherichia coli Strains: A 15-Year Period Survey in Jönköping, Sweden

High prevalence and pathogenic potential of Shiga toxin-producing Escherichia coli strains in raw mutton and beef in Shandong, China


scripts and configuration files for Edinburgh neural MT submission to WMT 16 shared translation task

Six Challenges for Neural Machine Translation

No Language Left Behind: Scaling Human-Centered Machine Translation

Beyond English-Centric Multilingual Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

A Convolutional Encoder Model for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Neural Interactive Translation Prediction

Conference of the Association for Machine Translation in the Americas

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators

A Multilingual View of Unsupervised Machine Translation

Neural Lattice Search for Domain Adaptation in Machine Translation


A curated resource list of adversarial attacks and defenses for Windows PE malware detection.

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

Arms Race in Adversarial Malware Detection: A Survey

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

Proceedings of the 8th International Conference on Communication and Network Security

AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: APPLIED DATA SCIENCE TRACK, PT IV

Evading API Call Sequence Based Malware Classifiers

A survey on practical adversarial examples for malware classifiers

Reversing and Offensive-oriented Trends Symposium

Deceiving Portable Executable Malware Classifiers into Targeted Misclassification with Practical Adversarial Examples

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020


GDSC Single Molecule Light Microscopy ImageJ Plugins

The speed of GTP hydrolysis determines GTP cap size and controls microtubule stability

Visible/near-infrared subdiffraction imaging reveals the stochastic nature of DNA walkers

Performance Boost of Organic Light-Emitting Diodes with Plasmonic Nanostars

Quantification of DNA-associated proteins inside eukaryotic cells using single-molecule localization microscopy

PCNA ubiquitylation ensures timely completion of unperturbed DNA replication in fission yeast

GDSC SMLM: Single-molecule localisation microscopy software for ImageJ


Conversion of ESA CCI SM images into time series


Convert biological neuronal networks to artificial recurrent neuronal networks

A mesoscale connectome of the mouse brain

A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex

Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution

Wiring cost and topological participation of the mouse brain connectome

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

Specificity and robustness of long-distance connections in weighted, interareal connectomes

The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles

Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template

Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks

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


Marathi NLP - is a repository dedicated to development of tools and resources for Marathi language.

L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources

L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages

L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset

L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models

L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library

L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi

Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection

L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models

My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks


This repository contains data pre-processing and visualization scripts used in GENEA Challenge 2022 and 2023. Check the repository's README.md file for instructions on how to use scripts yourself.

The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation

Proceedings of the 2022 International Conference on Multimodal Interaction

The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings

Evaluating Gesture Generation in a Large-scale Open Challenge: The GENEA Challenge 2022


Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.

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

Tuning Multilingual Transformers for Language-Specific Named Entity Recognition

Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages

7TH WORKSHOP ON BALTO-SLAVIC NATURAL LANGUAGE PROCESSING (BSNLP'2019)

Pre-training Polish Transformer-based Language Models at Scale

Transfer Learning for Czech Historical Named Entity Recognition

Recent Advances in Natural Language Processing


Personalized PageRank Estimation and Search: A Bidirectional Approach

FREDE: Anytime Graph Embeddings

Fast Randomized PCA for Sparse Data


ProPara (Process Paragraph Comprehension) dataset and models

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Be Consistent! Improving Procedural Text Comprehension using Label Consistency

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

Coalescing Global and Local Information for Procedural Text Understanding

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding

Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding

ParallelPARC: A Scalable Pipeline for Generating Natural-Language
  Analogies

Procedural Text Understanding via Scene-Wise Evolution


A Bayesian classifier to identify members of the 27 nearest young associations within 150 pc of the Sun

BANYAN. XI. The BANYAN Σ Multivariate Bayesian Algorithm to Identify Members of Young Associations with 150 pc

Search for associations containing young stars (SACY). VIII. An updated census of spectroscopic binary systems exhibiting hints of non-universal multiplicity among their associations

A Young Ultramassive White Dwarf in the AB Doradus Moving Group

Transient Corotating Clumps around Adolescent Low-mass Stars from Four Years of TESS

Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs


Boundary delineation tool developed for its4land

Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping

Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery

Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment


Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

Learning and inference in knowledge-based probabilistic model for medical diagnosis

Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis

Convolutional Gated Recurrent Units for Medical Relation Classification


Curved-sky python lensed CMB maps simulation package

Improved cosmic microwave background (de-)lensing using general spherical harmonic transforms

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

Journal of Cosmology and Astroparticle Physics

Forecasts on CMB lensing observations with AliCPT-1

中国科学. 物理学 力学 天文学

Efficient ILC analysis on polarization maps after EB leakage correction

Forecasts of CMB lensing reconstruction of AliCPT-1 from the foreground cleaned polarization data

The reconstructed CMB lensing bispectrum

LiteBIRD Science Goals and Forecasts: A full-sky measurement of gravitational lensing of the CMB

A New Probe of Gaussianity and Isotropy applied to the CMB Maps

CMB delensing with deep learning


Software to modify lateral boundary conditions of a reanalysis driven historical simulation to obtain the boundary conditions of a future scenario climate simulation following the pseudo-global warming (PGW) approach

Causes of future Mediterranean precipitation decline depend on the season

The Role of Hadley Circulation and Lapse-Rate Changes for the Future European Summer Climate

The pseudo-global-warming (PGW) approach: methodology, software package PGW4ERA5 v1.1, validation, and sensitivity analyses

Application of the Pseudo-Global Warming Approach in a Kilometer-Resolution Climate Simulation of the Tropics

Journal of Geophysical Research: Atmospheres


Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

A Survey of Historical Document Image Datasets

Digital Peter: Dataset, Competition and Handwriting Recognition Methods

Handwritten text generation and strikethrough characters augmentation


Toolbox for HODLR and HSS matrices in MATLAB

Solving rank structured Sylvester and Lyapunov equations

hm-toolbox: Matlab software for HODLR and HSS matrices

Numerical methods for large-scale Lyapunov equations with symmetric banded data

Hierarchical adaptive low‐rank format with applications to discretized partial differential equations

Numerical Linear Algebra with Applications

Low-rank updates and divide-and-conquer methods for quadratic matrix equations


BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Offline Reinforcement Learning with Value-based Episodic Memory

Curriculum Offline Imitation Learning


A curated paper list on neural symbolic and probabilistic logic.

Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures

Journal of Artificial Intelligence Research

Neuro-symbolic approaches in artificial intelligence

Deep Relational Machines

Incorporating symbolic domain knowledge into graph neural networks

Large-Scale Assessment of Deep Relational Machines


A MATLAB codebase to analyze TEM images of soot, which includes new methods associated with this project and a compilation of other pre-existing methods into a single package.

Automated Determination of Aggregate Primary Particle Size Distribution by TEM Image Analysis: Application to Soot

Observations of a Correlation Between Primary Particle and Aggregate Size for Soot Particles

Automated Detection of Primary Particles from Transmission Electron Microscope (TEM) Images of Soot Aggregates in Diesel Engine Environments

Automated primary particle sizing of nanoparticle aggregates by TEM image analysis

Morphology and size of soot from gas flares as a function of fuel and water addition

Technical note: Using k-means to identify soot aggregates in transmission electron microscopy images

Development and validation of a multi-angle light scattering method for fast engine soot mass and size measurements

Characterizing soot in TEM images using a convolutional neural network


Models for explainable recommendation.

Neural Attentional Rating Regression with Review-level Explanations

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

Neural Rating Regression with Abstractive Tips Generation for Recommendation

SIGIR'17: PROCEEDINGS OF THE 40TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

International ACM SIGIR Conference on Research and Development in Information Retrieval

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Explanation as a Defense of Recommendation

Graph-based Extractive Explainer for Recommendations

Comparative Explanations of Recommendations

Rethinking Conversational Recommendations: Is Decision Tree All You Need?

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference

ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System


2-pt correlation function estimation

Performance of the Quasar Spectral Templates for the Dark Energy Spectroscopic Instrument

Constraining νΛCDM with density-split clustering

Monthly notices of the Royal Astronomical Society

First detection of the BAO signal from early DESI data

Monthly Notices of the Royal Astronomical Society

The DESI One-Percent Survey: Exploring the Halo Occupation Distribution of Luminous Red Galaxies and Quasi-Stellar Objects with AbacusSummit

Studying large-scale structure probes of modified gravity with COLA

DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

The DESI One-Percent survey: exploring the Halo Occupation Distribution of Emission Line Galaxies with AbacusSummit simulations

Precise cosmological constraints from BOSS galaxy clustering with a simulation-based emulator of the wavelet scattering transform

Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample

The DESI One-Percent Survey: exploring a generalized SHAM for multiple tracers with the UNIT simulation


a python interface to JPL HORIZONS ephemerides and orbital elements

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry

Characterization of Near-Earth Asteroids Using KMTNET-SAAO

Taxonomy and Light-curve Data of 1000 Serendipitously Observed Main-belt Asteroids

The Astrophysical Journal Supplement Series

Space Weathering within C-complex Main Belt Asteroid Families


DFT optimised crystal structures of inorganic and hybrid halide perovskites

Lattice dynamics and vibrational spectra of the orthorhombic, tetragonal, and cubic phases of methylammonium lead iodide

What Is Moving in Hybrid Halide Perovskite Solar Cells?

Research Update: Relativistic origin of slow electron-hole recombination in hybrid halide perovskite solar cells

Perspective: Theory and simulation of hybrid halide perovskites

Significance of hydrogen bonding and other noncovalent interactions in determining octahedral tilting in the CH3NH3PbI3 hybrid organic-inorganic halide perovskite solar cell semiconductor

Discovery of Lead‐Free Perovskites for High‐Performance Solar Cells via Machine Learning: Ultrabroadband Absorption, Low Radiative Combination, and Enhanced Thermal Conductivities

Stress Effects on Vibrational Spectra of a Cubic Hybrid Perovskite: A Probe of Local Strain

Comparison of different functionals for density functional theory calculations of defects in metal halide perovskites


The Forward Physics Facility at the High-Luminosity LHC

Forward experiment sensitivity estimator for the LHC and future hadron colliders

FLArE up dark sectors with EM form factors at the LHC forward physics facility

A C++ program for estimating detector sensitivities to long-lived particles: Displaced Decay Counter


[CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V
  Trustworthiness

Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants


GeoGebra Discovery

Dealing with Degeneracies in Automated Theorem Proving in Geometry

Towards Automated Discovery of Geometrical Theorems in GeoGebra

Discovering Geometric Inequalities: The Concourse of GeoGebra Discovery, Dynamic Coloring and Maple Tools

Computer Assisted Proofs and Automated Methods in Mathematics Education

Open Geometry Prover Community Project

Automated Exploration of Envelopes and Offsets with Networking of Technologies

Showing Proofs, Assessing Difficulty with GeoGebra Discovery

Electronic Proceedings in Theoretical Computer Science

Symbolic Comparison of Geometric Quantities in GeoGebra

3D Space Trajectories and beyond: Abstract Art Creation with 3D Printing


Open Data Science

Chained Gaussian Processes

Data Readiness Levels

Probabilistic selection of inducing points in sparse Gaussian processes

Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data


SiSEC MUS 2018 Submission System

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation

Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation

Dilated Convolution with Dilated GRU for Music Source Separation


Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling


Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Zero-Shot Learning in Named-Entity Recognition with External Knowledge


Light-weight transfer learning framework for on-device speech and audio recognition using pre-trained image convolutional neural networks.

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data


A neural language model that estimates incremental processing complexity

A Neural Model of Adaptation in Reading

Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?

Does Dependency Locality Predict Non-canonical Word Order in Hindi?

Dual Mechanism Priming Effects in Hindi Word Order

Discourse Context Predictability Effects in Hindi Word Order


Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Morfessor 2.0: Toolkit for statistical morphological segmentation

Conference of the European Chapter of the Association for Computational Linguistics

Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology

International Conference on Computational Linguistics

A Comparative Study of Minimally Supervised Morphological Segmentation

International Conference on Computational Logic

Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies

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

Democratizing Neural Machine Translation with OPUS-MT

Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing


Automated DAOPHOT-based PSF photometry pipeline

HYDRA II: A FAINT AND COMPACT MILKY WAY DWARF GALAXY FOUND IN THE SURVEY OF THE MAGELLANIC STELLAR HISTORY

SMASH - Survey of the MAgellanic Stellar History

SMASHing the LMC: A Tidally Induced Warp in the Outer LMC and a Large-scale Reddening Map

VARIABLE STARS IN THE FIELD OF THE HYDRA II ULTRA-FAINT DWARF GALAXY

Exploring the Very Extended Low-surface-brightness Stellar Populations of the Large Magellanic Cloud with SMASH

The Second Data Release of the Survey of the MAgellanic Stellar History (SMASH)

SMASH 1: A VERY FAINT GLOBULAR CLUSTER DISRUPTING IN THE OUTER REACHES OF THE LMC?

The Large Magellanic Cloud stellar content with SMASH. I. Assessing the stability of the Magellanic spiral arms


NeurIPS 2021 - Few-shot learning competition

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Prototypical Networks for Few-shot Learning

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Advances in MetaDL: AAAI 2021 challenge and workshop


A collection of tools for Hi-C data analysis

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

An end-to-end assembly of the Aedes aegypti genome

Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions

HiGlass: web-based visual exploration and analysis of genome interaction maps

Cooler: scalable storage for Hi-C data and other genomically labeled arrays

Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data


CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

Towards a Robust Deep Neural Network in Texts: A Survey

FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications


CryoGrid is a one-dimensional land surface model  dedicated to simulate ground temperatures in permafrost environments.


building and fitting one & two body astrometric tracks

Astrometric identification of nearby binary stars – I. Predicted astrometric signals

Binary parameters from astrometric and spectroscopic errors – candidate hierarchical triples and massive dark companions in Gaia DR3

A possible nearby microlensing stellar remnant hiding in Gaia DR3 astrometry

Uncovering the Invisible: A Study of Gaia18ajz, a Candidate Black Hole
  Revealed by Microlensing

Gaia DR3 detectability of unresolved binary systems


A library for researching neural networks compression and acceleration methods.

Learning both Weights and Connections for Efficient Neural Networks

To prune, or not to prune: exploring the efficacy of pruning for model compression

Q8BERT: Quantized 8Bit BERT

Discovering Neural Wirings

Prune Once for All: Sparse Pre-Trained Language Models


Code to compute ionization field from density fields and source catalogue (CIFOG)

Astraeus I: the interplay between galaxy formation and reionization

The accuracy of semi-numerical reionization models in comparison with radiative transfer simulations

The 21 cm bispectrum during reionization: a tracer of the ionization topology

The escape fraction of ionizing photons during the Epoch of Reionization: observability with the Square Kilometre Array

A short introduction to reionization physics


Estimation of a consistent range of adverse health and agricultural effects attributable to air pollution for a GCAM scenario

rfasst: An R tool to estimate air pollution impacts on health and agriculture


Combining deep learning and reinforcement learning.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Soft Actor-Critic Algorithms and Applications


RAPTOR

First Sagittarius A* Event Horizon Telescope Results. VIII. Physical Interpretation of the Polarized Ring

Comparison of Polarized Radiative Transfer Codes Used by the EHT Collaboration

Flares in the Galactic Centre II: polarisation signatures of flares at mm-wavelengths

Enhanced Blandford Znajek Jet in Loop Quantum Black Hole

κmonty: a Monte Carlo Compton scattering code including non-thermal electrons


[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

Deep Reinforcement Learning at the Edge of the Statistical Precipice

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Mask-based Latent Reconstruction for Reinforcement Learning

Towards a Standardised Performance Evaluation Protocol for Cooperative MARL

Deep Reinforcement Learning

Rethinking Value Function Learning for Generalization in Reinforcement Learning

False Correlation Reduction for Offline Reinforcement Learning

Towards Disturbance-Free Visual Mobile Manipulation

On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning

Joint Representations for Reinforcement Learning with Multiple Sensors


The Stockholm inversion code

STiC: A multiatom non-LTE PRD inversion code for full-Stokes solar observations

The multi-thermal chromosphere - Inversions of ALMA and IRIS data

An observationally constrained model of strong magnetic reconnection in the solar chromosphere

Inference of the chromospheric magnetic field configuration of solar plage using the Ca II 8542 Å line

Stratification of physical parameters in a C-class solar flare using multiline observations

Heating of the solar chromosphere through current dissipation

ALMA observations of transient heating in a solar active region

Solar surges related to UV bursts: Characterization through k-means, inversions and density diagnostics

Physical properties of a fan-shaped jet backlit by an X9.3 flare

IRIS^2+: A comprehensive database of stratified thermodynamic models in the low solar atmosphere


Full list of bad words and top swear words banned by Google.

Machine Learning Suites for Online Toxicity Detection

MemeCap: A Dataset for Captioning and Interpreting Memes

AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning

International Workshop on Semantic Evaluation

How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment

LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models


BERT with SentencePiece for Japanese text.

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

Pre-training Polish Transformer-based Language Models at Scale

Automated Essay Scoring System for Nonnative Japanese Learners

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

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents

A large dataset of annotated incident reports on medication errors


OLD MATLAB version of CLIMADA phased out --> PLEASE USE https://github.com/CLIMADA-project/climada_python

Comparing the cost effectiveness of nature-based and coastal adaptation: A case study from the Gulf Coast of the United States

A global historical data set of tropical cyclone exposure (TCE-DAT)

COASTAL RISKS, NATURE-BASED DEFENSES AND THE ECONOMICS OF ADAPTATION: AN APPLICATION IN THE GULF OF MEXICO, USA

CLIMADA - the open-source and -access global probabilistic risk modelling platform


Python package for Sentential Decision Diagrams (SDD)

Semantic Probabilistic Layers for Neuro-Symbolic Learning

Three Modern Roles for Logic in AI

Symposium on Principles of Database Systems

Tractable Explanations for d-DNNF Classifiers

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

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference

Feature Necessity & Relevancy in ML Classifier Explanations

Tractable Boolean and Arithmetic Circuits

Efficient Explanations for Knowledge Compilation Languages

Semantic Strengthening of Neuro-Symbolic Learning

Efficient Knowledge Compilation Beyond Weighted Model Counting

Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation


A MATLAB software for the analysis of digital elevation models -

Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques

Drainage divide networks – Part 1: Identification and ordering in digital elevation models

Drainage divide networks – Part 2: Response to perturbations

Fault activity, tectonic segmentation, and deformation pattern of the western Himalaya on Ma timescales inferred from landscape morphology

Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models

Sensitivity of subglacial drainage to water supply distribution at the Kongsfjord basin, Svalbard


Population genetics analyses from NGS data

pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Comparative analysis examining patterns of genomic differentiation across multiple episodes of population divergence in birds

Pervasive hybridization with local wild relatives in Western European grapevine varieties

Recurrent selection and reduction in recombination shape the genomic landscape of divergence across multiple population pairs of Green-backed Tit


HSIM: HARMONI simulation pipeline

hsim: a simulation pipeline for the HARMONI integral field spectrograph on the European ELT

Direct imaging and spectroscopy of exoplanets with the ELT/HARMONI high-contrast module

Emission from the circumgalactic medium: from cosmological zoom-in simulations to multiwavelength observables

HARMONI: the ELT's First-Light Near-infrared and Visible Integral Field Spectrograph

Spectral unmixing for exoplanet direct detection in hyperspectral data

Simulating supermassive black hole mass measurements for a sample of ultramassive galaxies using ELT/HARMONI high-spatial-resolution integral-field stellar kinematics

Behind the Mask: can HARMONI@ELT detect biosignatures in the reflected light of Proxima b?

Simulating the detection and classification of high-redshift supernovae with HARMONI on the ELT

HARMONI view of the host galaxies of active galactic nuclei around cosmic noon


SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

A Fast Unified Model for Parsing and Sentence Understanding

RNNs Implicitly Implement Tensor Product Representations


Challenge details, inputs, and (eventually) results for the SAMPL8 series of challenges

Relative Binding Free Energy Calculations for Ligands with Diverse Scaffolds with the Alchemical Transfer Method

SAMPL9 blind predictions using nonequilibrium alchemical approaches

Zenodo (CERN European Organization for Nuclear Research)

Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling

Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge


A Deep Graph-based Toolbox for Fraud Detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

International Conference on Information and Knowledge Management

Heterogeneous Graph Neural Networks for Malicious Account Detection

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

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

Spam Review Detection with Graph Convolutional Networks

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

Rethinking Graph Neural Networks for Anomaly Detection

Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network

Multitask Active Learning for Graph Anomaly Detection


A library containing analysis and theory tools for cosmological data.

Cosmology with the moving lens effect

Reconstructing Patchy Reionization with Deep Learning

Projected-field kinetic Sunyaev-Zel'dovich Cross-correlations: halo model and forecasts

Reconstructing cosmic polarization rotation with ResUNet-CMB

Prospects for kSZ^2-Galaxy Cross-Correlations during Reionization

High-Resolution CMB Lensing Reconstruction with Deep Learning

Lensing Reconstruction from the Cosmic Microwave Background Polarization with Machine Learning

Delensing of Cosmic Microwave Background Polarization with Machine Learning

Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks


A graph-based approach to diploid genome assembly

A haplotype-aware de novo assembly of related individuals using pedigree sequence graph

A haplotype-aware de novo assembly of related individuals using pedigree graph


[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario

Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation


An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Continual Learning Through Synaptic Intelligence

Progressive Neural Networks

Efficient Lifelong Learning with A-GEM

Large Scale Incremental Learning

Learning a Unified Classifier Incrementally via Rebalancing

Gradient based sample selection for online continual learning


In-Medium Similarity Renormalization Group software for nuclear structure calculations. Written in C++, with Python bindings.

Ab initio predictions link the neutron skin of 208Pb to nuclear forces

Converged ab initio calculations of heavy nuclei

Ab initio multishell valence-space Hamiltonians and the island of inversion

Probing chiral interactions up to next-to-next-to-next-to-leading order in medium-mass nuclei

Systematics of E2 strength in the sd shell with the valence-space in-medium similarity renormalization group

In-medium similarity renormalization group with three-body operators

Mass measurements of 99–101In challenge ab initio nuclear theory of the nuclide 100Sn

Nuclear Forces for Precision Nuclear Physics: A Collection of Perspectives

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Precision Mass Measurements of Neutron-Rich Scandium Isotopes Refine the Evolution of N=32 and N=34 Shell Closures

Natural orbitals for many-body expansion methods


Geometry based point cloud compression (G-PCC) test model

Multiscale Point Cloud Geometry Compression

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Sparse Tensor-based Point Cloud Attribute Compression

BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario

3DAC: Learning Attribute Compression for Point Clouds

Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model

IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

R-PCC: A Baseline for Range Image-based Point Cloud Compression

Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention


Provide mapping and localization pipelines based on kapture format

Robust Image Retrieval-based Visual Localization using Kapture

Benchmarking Image Retrieval for Visual Localization

Learning Super-Features for Image Retrieval

Investigating the Role of Image Retrieval for Visual Localization

International Journal of Computer Vision


SLING - A natural language frame semantics parser

Entities as Experts: Sparse Memory Access with Entity Supervision

A task in a suit and a tie: paraphrase generation with semantic augmentation

SLING: A framework for frame semantic parsing

Benchmarking Machine Translation with Cultural Awareness

DEEP: DEnoising Entity Pre-training for Neural Machine Translation

Beyond Aesthetics: Cultural Competence in Text-to-Image Models

Cross-Lingual Fine-Grained Entity Typing


HiRep repository

Glueballs and Strings in Sp(2N) Yang-Mills theories

Lattice studies of the Sp(4) gauge theory with two fundamental and
  three antisymmetric Dirac fermions

Ergodic sampling of the topological charge using the density of states

Sp(2N) Lattice Gauge Theories and Extensions of the Standard Model of Particle Physics

Singlets in gauge theories with fundamental matter

Investigating the conformal behavior of SU(2) with one adjoint Dirac flavor

Meson spectroscopy from spectral densities in lattice gauge theories

Mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations

First-order phase transitions in Yang-Mills theories and the density of state method---data and analysis code release

Towards the super Yang-Mills spectrum at large N_c


The intent is for the Landscape to be a living document that developers, investors, vendors, researchers and others can use as a resource.


Differential expression of RNA-seq data using the Negative Binomial

The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19

glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data

The role of metadata in reproducible computational research

Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction

Substantial somatic genomic variation and selection for BCOR mutations in human induced pluripotent stem cells

Robust principal component analysis for accurate outlier sample detection in RNA-Seq data

SARS-CoV-2 infection enhances mitochondrial PTP complex activity to perturb cardiac energetics

Geographical location influences the composition of the gut microbiota in wild house mice (Mus musculus domesticus) at a fine spatial scale

Cultivation of Clear Cell Renal Cell Carcinoma Patient-Derived Organoids in an Air-Liquid Interface System as a Tool for Studying Individualized Therapy

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


Cytoscape: an open source platform for network analysis and visualization

Characteristics of the Gut Microbiota and Metabolism in Patients With Latent Autoimmune Diabetes in Adults: A Case-Control Study

Physiological and transcriptomic analyses reveal the roles of secondary metabolism in the adaptive responses of Stylosanthes to manganese toxicity

Non-Coding RNA Analyses of Seasonal Cambium Activity in Populus tomentosa

Integrated bioinformatics analysis of the association between apolipoprotein E expression and patient prognosis in papillary thyroid carcinoma

Integrating Network Pharmacology and Molecular Docking to Analyse the Potential Mechanism of action of Macleaya cordata (Willd.) R. Br. in the Treatment of Bovine Hoof Disease

Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group

Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers

A proteomic and RNA-seq transcriptomic dataset of capsaicin-aggravated mouse chronic colitis model

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

DNA methylome and transcriptome profiling reveal key electrophysiology and immune dysregulation in hypertrophic cardiomyopathy


A list of backdoor learning resources

Backdoor Learning: A Survey

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features

Conference on Computer and Communications Security

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks

Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security

BlindNet backdoor: Attack on deep neural network using blind watermark

Backdoors hidden in facial features: a novel invisible backdoor attack against face recognition systems

Peer-to-Peer Networking and Applications

Anti-Distillation Backdoor Attacks: Backdoors Can Really Survive in Knowledge Distillation

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

Backdoor Attacks on Image Classification Models in Deep Neural Networks


Microsoft Quantum Computing Libraries for noncommercial use

Product Decomposition of Periodic Functions in Quantum Signal Processing

Quantum signal processing for simulating cold plasma waves

Simulation of Linear Non-Hermitian Boundary-Value Problems with Quantum Singular-Value Transformation

Quantum algorithm for the advection-diffusion equation and the
  Koopman-von Neumann approach to nonlinear dynamical systems


PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

The potential role of a hydrogen network in Europe

Endogenous learning for green hydrogen in a sector-coupled energy model for Europe

Energy Imports and Infrastructure in a Carbon-Neutral European Energy
  System

H_2 and CO_2 Network Strategies for the European Energy System


A distributed hydrological modeling platform

Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River

The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins

The importance of ecosystem adaptation on hydrological model predictions in response to climate change


A Julia interface to the NLopt nonlinear-optimization library

Quantitative analysis of tumour spheroid structure

Estimating Phosphorescent Emission Energies in IrIII Complexes Using Large‐Scale Quantum Computing Simulations**

Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates

Host-region parameters for an adjustable model for crustal earthquakes to facilitate the implementation of the backbone approach to building ground-motion logic trees in probabilistic seismic hazard analysis

Computationally efficient framework for diagnosing, understanding and predicting biphasic population growth

Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences

Efficient inference and identifiability analysis for differential equation models with random parameters

Pushing coarse-grained models beyond the continuum limit using equation learning

Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids

Improving robustness to noise of nonlinear parameter identification using control-based continuation


Contributed code for MAF (sims_maf)

Science-Driven Optimization of the LSST Observing Strategy

TESTING LSST DITHER STRATEGIES FOR SURVEY UNIFORMITY AND LARGE-SCALE STRUCTURE SYSTEMATICS

Optimizing LSST observing strategy for weak lensing systematics

Monthly Notices of the Royal Astronomical Society

Metrics for Optimization of Large Synoptic Survey Telescope Observations of Stellar Variables and Transients

Publications of the Astronomical Society of the Pacific


BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method

BoSSS: a package for multigrid extended discontinuous Galerkin methods

An Extended Discontinuous Galerkin Method for High-Order Shock-Fitting

A fully coupled high‐order discontinuous Galerkin solver for viscoelastic fluid flow

International Journal for Numerical Methods in Fluids

On a marching level-set method for extended discontinuous Galerkin
  methods for incompressible two-phase flows

The extended discontinuous Galerkin method adapted for moving contact line problems via the generalized Navier boundary condition


A modern, portable, easy to use crypto library.

Constant-Time Foundations for the New Spectre Era

CT-wasm: type-driven secure cryptography for the web ecosystem

Proceedings of the ACM on Programming Languages

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Password-authenticated searchable encryption

International Journal of Information Security

A Tutorial on the Interoperability of Self-sovereign Identities

Binsec/Rel: Symbolic Binary Analyzer for Security with Applications to Constant-Time and Secret-Erasure

Util::Lookup: Exploiting key decoding in cryptographic libraries

Improving type information inferred by decompilers with supervised machine learning

Binary Diffing as a Network Alignment Problem via Belief Propagation

International Conference on Automated Software Engineering

Serberus: Protecting Cryptographic Code from Spectres at Compile-Time


Python module for quantum chemistry

Gaussian-based coupled-cluster theory for the ground state and band structure of solids

Open source molecular modeling

Journal of molecular graphics & modelling

DMRG-CASPT2 study of the longitudinal static second hyperpolarizability of all-trans polyenes

A time-dependent formulation of multi-reference perturbation theory

A Hybrid Classical/Quantum Approach for Large-Scale Studies of Quantum Systems with Density Matrix Embedding Theory

Chemical Transformations Approaching Chemical Accuracy via Correlated Sampling in Auxiliary-Field Quantum Monte Carlo

Journal of chemical theory and computation

Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates

Hilbert space renormalization for the many-electron problem

Density Matrix Embedding Theory and Strongly Correlated Lattice Systems


How Powerful are Spectral Graph Neural Networks

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Improving Signed Propagation for Graph Neural Networks


DiverGen (CVPR 2024)  & BSGAL (ICML 2024)

Probabilistic two-stage detection

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

Generative Active Learning for Long-tailed Instance Segmentation


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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


Open source implementation of "Neural Message Passing for Quantum Chemistry"

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Expressive Graph Informer Networks

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


[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

SSAST: Self-Supervised Audio Spectrogram Transformer


Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".

Pooling Architecture Search for Graph Classification

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

Simplifying Architecture Search for Graph Neural Network

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective


Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)

Neural Bregman Divergences for Distance Learning

Metric Nearness Made Practical

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 7


dancetrack 比赛第二名

Simple Online and Realtime Tracking

International Conference on Information Photonics

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

Multiple Object Tracking Challenge Technical Report for Team MT_IoT


This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.

EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing

A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images

IEEE Transactions on Geoscience and Remote Sensing


VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)

Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation

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

Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach


Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

Improving Passage Retrieval with Zero-Shot Question Generation

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

Questions Are All You Need to Train a Dense Passage Retriever


CoroNet is a Covid-19 detection and diagnosis tool. It scans chest x-rays and clasifies it into normal, pneumonia or covid classes

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Computer methods and programs in biomedicine

A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images

A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images

Biomedical signal processing and control

Deep COVID-19 Recognition Using Chest X-ray Images: A Comparative Analysis

2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)


HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer

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

Efficient Heterogeneous Graph Learning via Random Projection


EEG microstate analysis

EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant

Information-Theoretical Analysis of EEG Microstate Sequences in Python

Functional network dynamics revealed by EEG microstates reflect cognitive decline in amyotrophic lateral sclerosis

CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models


Gaussian Processes GaPP code auxiliary repository

Measuring cosmological parameters with a luminosity-time correlation of gamma-ray bursts

Monthly Notices of the Royal Astronomical Society

Cosmic chronometers to calibrate the ladders and measure the curvature of the Universe. A model-independent study

Revisiting a non-parametric reconstruction of the deceleration parameter from combined background and the growth rate data

Nonparametric reconstruction of interaction in the cosmic dark sector

Constraining the curvature density parameter in cosmology

Model-independent constraints on cosmic curvature: implication from the future space gravitational-wave antenna DECIGO

Late-time phenomenology required to solve the H_0 tension in view of the cosmic ladders and the anisotropic and angular BAO data sets

Multiple Measurements of Gravitational Waves Acting as Standard Probes: Model-independent Constraints on the Cosmic Curvature with DECIGO

Assessment of the cosmic distance duality relation using Gaussian process

Low-redshift estimates of the absolute scale of baryon acoustic oscillations


This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation

BERT-like Pre-training for Symbolic Piano Music Classification Tasks

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

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


Unconstrained Text Detection with Box Supervisionand Dynamic Self-Training

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network

Polygon-free: Unconstrained Scene Text Detection with Box Annotations