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

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

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

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

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

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


OpenVINO Training Extensions Object Re-identification

Omni-Scale Feature Learning for Person Re-Identification

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification


⚠ Firefox Focus (Android) moved to a new repository. It is now developed and maintained as part of: https://github.com/mozilla-mobile/firefox-android

An Empirical Investigation into the Reproduction of Bug Reports for Android Apps

IEEE International Conference on Software Analysis, Evolution, and Reengineering

Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports

A METHOD FOR CLASSIFYING USABILITY FINDINGS TO ENHANCE VALIDATION OF NEW HEURISTICS


Retired multi-variant fork of popular UCI chess engine; please use Fairy-Stockfish instead

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Monte-Carlo Graph Search for AlphaZero

Improved Reinforcement Learning with Curriculum


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

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

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

Deep Graph Generators: A Survey

Reinforcement learning on graphs: A survey


PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Momentum Contrast for Unsupervised Visual Representation Learning

Bootstrap your own latent: A new approach to self-supervised Learning

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 Demo）

A Semantic Invariant Robust Watermark for Large Language Models

An Unforgeable Publicly Verifiable Watermark for Large Language Models

An Entropy-based Text Watermarking Detection Method

Can Watermarks Survive Translation? On the Cross-lingual Consistency of
  Text Watermark for Large Language Models


Source code for RNA-FrameFlow: SE(3) Flow Matching for 3D RNA Backbone Design

E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction

gRNAde: Geometric Deep Learning for 3D RNA inverse design


Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

Bayesian Optimization over Hybrid Spaces

Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

Mixed Variable Bayesian Optimization with Frequency Modulated Kernels

CircuitBot: Learning to Survive with Robotic Circuit Drawing

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals


Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Optimizing Deeper Transformers on Small Datasets

Reasoning Like Program Executors

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks

Fact-driven Logical Reasoning for Machine Reading Comprehension


This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

Deep Residual Learning for Image Recognition

Towards Deep Learning Models Resistant to Adversarial Attacks

Adversarial Examples Are Not Bugs, They Are Features

Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy


Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018

Conditional Generative Adversarial Nets

A Note on the Inception Score

Robustness of Conditional GANs to Noisy Labels


Inductive Representation Learning on Temporal Graphs

Self-attention with Functional Time Representation Learning

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


Graph Neural Network for Traffic Forecasting: A Survey

Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems

Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools

A comprehensive study of speed prediction in transportation system: From vehicle to traffic


code associated with ACL 2021 DExperts paper

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

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning

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

Controlled Text Generation with Hidden Representation Transformations


LEGEND-1000 Preconceptual Design Report

Charge-carrier collective motion in germanium detectors for ββ
    β ̱

Pulse shape discrimination for the CONUS experiment in the keV and sub-keV regime

Surface Characterization of P-Type Point Contact Germanium Detectors

First detection of coherent elastic neutrino-nucleus scattering on
  germanium


Whole genome core alignments from multiple draft genomes

Staphylococcal Protein A (spa) Locus Is a Hot Spot for Recombination and Horizontal Gene Transfer in Staphylococcus pseudintermedius

Extensive Comparative Genomic Analysis of Enterococcus faecalis and Enterococcus faecium Reveals a Direct Association between the Absence of CRISPR–Cas Systems, the Presence of Anti-Endonuclease (ardA) and the Acquisition of Vancomycin Resistance in E. faecium

Comprehensive whole genome analysis of Staphylococcus aureus isolates from dairy cows with subclinical mastitis


Learning without Exact Guidance: Updating Large-scale High-resolution
  Land Cover Maps from Low-resolution Historical Labels

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in
  Land Cover Mapping via Hybrid Semantic Segmentation Framework


This is the Grammarly's Yahoo Answers Formality Corpus

Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE Transactions on Artificial Intelligence

Improving Formality Style Transfer with Context-Aware Rule Injection

From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey

An Evaluation of Disentangled Representation Learning for Texts

Meeting of the Association for Computational Linguistics

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception


Code of 'Interaction-and-aggregation network for person re-identification' (CVPR2019), and 'IAUnet: Global Context-Aware Feature Learning for Person Re-Identification' (TNNLS 2021).

Interaction-and-Aggregation Network for Person Re-identification

Temporal Complementary Learning for Video Person Re-Identification

IAUnet: Global Context-Aware Feature Learning for Person Reidentification


Adversarial Defense for Ensemble Models (ICML 2019)

Improving Adversarial Robustness via Promoting Ensemble Diversity

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

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models


Parameterized Explainer for Graph Neural Network

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Interpretable Prototype-based Graph Information Bottleneck

Globally Interpretable Graph Learning via Distribution Matching


Code (in Matlab and R) to perform a spherical rotation (permutation) of a parcellated cortical map.

Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures

Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes

Hospitalisation for COVID-19 predicts long lasting cerebrovascular impairment: A prospective observational cohort study

Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing

Transcriptional and Cellular Signatures of Morphometric Similarity Remodeling in Major Depressive Disorder

Molecular signatures of attention networks

General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning

bioRxiv : the preprint server for biology

Brain structural covariance network features are robust markers of early heavy alcohol use


GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

SimplE Embedding for Link Prediction in Knowledge Graphs


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

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition

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


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

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

Technical Report: Temporal Aggregate Representations


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

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

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

Improving Question Answering over Knowledge Graphs Using Graph Summarization

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

Computational intelligence and neuroscience


BERT with History Answer Embedding for Conversational Question Answering

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

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

Conversational Machine Comprehension: a Literature Review

International Conference on Computational Linguistics

Towards a more Robust Evaluation for Conversational Question Answering


Implementation of Grid-Forming Control Techniques in IEEE 9-Bus System

Frequency Stability of Synchronous Machines and Grid-Forming Power Converters

Beyond low-inertia systems: Massive integration of grid-forming power converters in transmission grids

Interactions of Grid-Forming Power Converters and Synchronous Machines

System-level performance and robustness of the grid-forming hybrid angle control


Code for the paper "Symbiotic Adversarial Learning for Attribute-based Person Search", ECCV2020

Deep Residual Learning for Image Recognition

Improving Person Re-identification by Attribute and Identity Learning

ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer


Densely Connected Convolutional Networks

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

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

Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation


ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

Recurrent Bilinear Optimization for Binary Neural Networks

Resilient Binary Neural Network


LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)

DCA: Diversified Co-Attention towards Informative Live Video Commenting

Multimodal Matching Transformer for Live Commenting

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts


Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

Source Dependency-Aware Transformer with Supervised Self-Attention

Neural Machine Translation with Dynamic Graph Convolutional Decoder


[KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems

Data-centric Artificial Intelligence: A Survey

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning


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


DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

Double/Debiased Machine Learning for Treatment and Structural Parameters

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

International Conference on Performance Engineering


Implementation of WGAN-QC

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Wasserstein Iterative Networks for Barycenter Estimation

Entropic Neural Optimal Transport via Diffusion Processes

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Generating Synthetic Datasets by Interpolating along Generalized Geodesics


Test implementation of "Aligned Cross Entropy for Non-Autoregressive Machine Translation" https://arxiv.org/abs/2004.01655

Non-Autoregressive Machine Translation with Latent Alignments

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond


Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

Semi-Supervised Learning with Generative Adversarial Networks

On Convergence and Stability of GANs


Single Cell RNA Intron-Exon counting

Deep learning enables genetic analysis of the human thoracic aorta

Clinico-histopathologic and single-nuclei RNA-sequencing insights into cardiac injury and microthrombi in critical COVID-19

SnRNA sequencing defines signaling by RBC-derived extracellular vesicles in the murine heart


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


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

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

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


CBAM implementation on TensorFlow Slim

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aggregated Residual Transformations for Deep Neural Networks


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

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

Adaptive Graph Diffusion Networks

SCR: Training Graph Neural Networks with Consistency Regularization


Ethereum Static Vulnerability Detector for Gas-Focussed Vulnerabilities

MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Vulnerability Detection Technique: A Survey

Precise static modeling of Ethereum “memory”

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

Continuous and Secure Integration Framework for Smart Contracts


[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems

Optimizing Intermediate Representations of Generative Models for Phase Retrieval


Benchmarking

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer

Multi-Fidelity High-Throughput Optimization of Electrical Conductivity in P3HT-CNT Composites

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Bayesian Optimisation Against Climate Change: Applications and Benchmarks


Self-Instruct: Aligning Language Models with Self-Generated Instructions

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Chinese Open Instruction Generalist: A Preliminary Release


Visualizing gene tree conflict using Phyparts, and ETE3

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

Phylogenomic Insights into Deep Phylogeny of Angiosperms Based on Broad Nuclear Gene Sampling

Capturing single-copy nuclear genes, organellar genomes, and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae

Reconstructing the Complex Evolutionary History of the Papuasian Schefflera Radiation Through Herbariomics

Multiple historical processes obscure phylogenetic relationships in a taxonomically difficult group (Lobariaceae, Ascomycota)

Introgression across evolutionary scales suggests reticulation contributes to Amazonian tree diversity

A Phylogenomic Perspective on Evolution and Discordance in the Alpine-Arctic Plant Clade Micranthes (Saxifragaceae)

Synthesis of Nuclear and Chloroplast Data Combined With Network Analyses Supports the Polyploid Origin of the Apple Tribe and the Hybrid Origin of the Maleae—Gillenieae Clade

A New Approach Using Targeted Sequence Capture for Phylogenomic Studies across Cactaceae

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


Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

Towards Deep Learning Models Resistant to Adversarial Attacks

Improving Robustness using Generated Data

Efficient and Effective Augmentation Strategy for Adversarial Training


PyTorch implementation of Soft Actor-Critic (SAC)

Soft Actor-Critic Algorithms and Applications

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Learning Invariant Representations for Reinforcement Learning without Reconstruction

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Online Decision Transformer

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Extreme Q-Learning: MaxEnt RL without Entropy

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Learning Dexterous Manipulation from Suboptimal Experts


Efficient Segmentation for Volumetric Data

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Deep Learning Based Brain Tumor Segmentation: A Survey

3D Quantum-inspired Self-supervised Tensor Network for Volumetric Segmentation of Brain MR Images


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

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Self-Attentive Neural Collaborative Filtering

COMET: Convolutional Dimension Interaction for Collaborative Filtering


Machine Learning with Membership Privacy using Adversarial Regularization

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

Practical Blind Membership Inference Attack via Differential Comparisons

Membership Inference Attacks and Defenses in Classification Models

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

Membership Inference Attacks and Defenses in Neural Network Pruning

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


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

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Emerging Properties in Self-Supervised Vision Transformers

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

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

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

Self-Supervised Learning by Estimating Twin Class Distributions


Spatial-Temporal Transformer for Video Snapshot Compressive Imaging

Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing


Code for CVPR2020 paper QEBA: Query-Efﬁcient Boundary-Based Blackbox Attack

Membership Leakage in Label-Only Exposures

QEBA: Query-Efficient Boundary-Based Blackbox Attack

SurFree: a fast surrogate-free black-box attack

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems

Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence


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

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

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

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


Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility

Reinforced UI Instruction Grounding: Towards a Generic UI Task Automation API


Faraday Rotation Measure Synthesis in Python

Polarization leakage in epoch of reionization windows – II. Primary beam model and direction-dependent calibration

Monthly Notices of the Royal Astronomical Society

Early Science from POSSUM: Shocks, turbulence, and a massive new reservoir of ionised gas in the Fornax cluster

Publications of the Astronomical Society of Australia

The remnant radio galaxy associated with NGC 1534

Multi-tracer analysis of straight depolarisation canals in the surroundings of the 3C 196 field

The Spiderweb Protocluster is Being Magnetized by Its Central Radio Jet

Faraday tomography of LoTSS-DR2 data

First look at the multiphase interstellar medium using synthetic observations from low-frequency Faraday tomography

A depolarizing H I tidal tail in the western lobe of Fornax A

LOFAR Deep Fields: Probing faint Galactic polarised emission in ELAIS-N1


Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)

Unbiased Scene Graph Generation from Biased Training

PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation

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


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

IC3 Modulo Theories via Implicit Predicate Abstraction

Model Checking Regular Language Constraints

Partial Quantifier Elimination By Certificate Clauses

The Lattice-Theoretic Essence of Property Directed Reachability Analysis

Partial Quantifier Elimination And Property Generation

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

Reasoning about Regular Properties: A Comparative Study


Symmetric evaluation set based on the FEVER (fact verification) dataset

Towards Debiasing Fact Verification Models

Increasing Robustness to Spurious Correlations using Forgettable Examples

Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning

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

Uncertainty Calibration for Ensemble-Based Debiasing Methods

Feature-Level Debiased Natural Language Understanding

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models


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

Intent Mining from past conversations for conversational agent

Subword Semantic Hashing for Intent Classification on Small Datasets

International Joint Conference on Neural Network

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

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

Attentively Embracing Noise for Robust Latent Representation in BERT

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

Conference on Computational Natural Language Learning


Gated Attention Reader for Text Comprehension

Gated-Attention Readers for Text Comprehension

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

Quasar: Datasets for Question Answering by Search and Reading

A Comparative Study of Word Embeddings for Reading Comprehension

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

Meeting of the Association for Computational Linguistics

Read and Comprehend by Gated-Attention Reader with More Belief

North American Chapter of the Association for Computational Linguistics


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

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

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


[ECCV2024 Oral] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"

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

Language Models are Few-Shot Learners

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation


Representation Learning for Stack Overflow Posts: How Far Are We?

PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts

Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue


Matlab tools for loading, interpolating, and displaying BedMachine ice sheet topography.

BedMachine v3: Complete Bed Topography and Ocean Bathymetry Mapping of Greenland From Multibeam Echo Sounding Combined With Mass Conservation

Antarctic Mapping Tools for Matlab


Selection Distribution Generator for Domain Adaptation

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

Reinforced Training Data Selection for Domain Adaptation


Automatic gradient descent

Feature Learning in Infinite-Width Neural Networks

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

Automatic Gradient Descent: Deep Learning without Hyperparameters

Optimisation & Generalisation in Networks of Neurons


Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model

BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement

Super-Pixel Guided Low-Light Images Enhancement with Features Restoration


Implementation of  paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Self-supervised Learning on Graphs: Deep Insights and New Direction


Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

Neuralangelo: High-Fidelity Neural Surface Reconstruction


BiCVM Code

Multilingual Models for Compositional Distributed Semantics

Multilingual Distributed Representations without Word Alignment

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings

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

Word Embeddings for Code-Mixed Language Processing

Empirical Methods in Natural Language Processing

Baselines and test data for cross-lingual inference

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


Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms

On Inductive Biases for Heterogeneous Treatment Effect Estimation

Experimental Standards for Deep Learning in Natural Language Processing Research

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability

Adversarial De-confounding in Individualised Treatment Effects Estimation

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

MonoScene: Monocular 3D Semantic Scene Completion

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


Pytorch implementations of some general federated optimization methods.

Federated Optimization in Heterogeneous Networks

FedCM: Federated Learning with Client-level Momentum

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape


Learning Framework for Neural Abstractive Text Summarization

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization

Abstractive Document Summarization with Word Embedding Reconstruction

Recent Advances in Natural Language Processing


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

Evaluating the Factual Consistency of Abstractive Text Summarization

Factual Error Correction for Abstractive Summarization Models


A framework for automatic speech recognition

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Attention-Based Models for Speech Recognition

Deep Speech: Scaling up end-to-end speech recognition

Sequence Transduction with Recurrent Neural Networks

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Jasper: An End-to-End Convolutional Neural Acoustic Model

Listen, Attend and Spell


Marine debris detection with commercial satellite imagery and deep learning.


1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.

Masked Autoencoders Are Scalable Vision Learners

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training


Supporting code for uncultivated gut virus manuscript

IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

Ultra-deep sequencing of Hadza hunter-gatherers recovers vanishing gut microbes

bioRxiv : the preprint server for biology

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight

Terabase-Scale Coassembly of a Tropical Soil Microbiome

A global atlas of soil viruses reveals unexplored biodiversity and potential biogeochemical impacts

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces

A 20-year time-series of a freshwater lake reveals seasonal dynamics and environmental drivers of viral diversity, ecology, and evolution


Calculate GC% and GC deviation for circular genomes

Identification and Full Characterisation of Two Novel Crustacean Infecting Members of the Family Nudiviridae Provides Support for Two Subfamilies

Heteroplasmy and repeat expansion in the plant-like mitochondrial genome of a bivalve mollusc

Profiling cell envelope-antibiotic interactions reveals vulnerabilities to β-lactams in a multidrug-resistant bacterium

Diversity and Evolution of an Abundant ICEclc-Family of Integrative and Conjugative Elements inPseudomonas aeruginosa

“Evaluating the Benefits and Limits of Multiple Displacement Amplification with Whole-Genome Oxford Nanopore Sequencing”


Equivalent Latitude and  polar vortex edge calculation using Nash criteria


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

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Variational Autoencoders for Collaborative Filtering

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

On Generative Agents in Recommendation


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

Semidefinite Approximations of the Matrix Logarithm

Foundations of Computational Mathematics

Efficient optimization of the quantum relative entropy

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

IEEE Transactions on Vehicular Technology

Device-independent lower bounds on the conditional von Neumann entropy

Defining quantum divergences via convex optimization

Security of quantum key distribution from generalised entropy accumulation

Robust Interior Point Method for Quantum Key Distribution Rate Computation

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

Witnessing negative conditional entropy

Unpredictable Planning Under Partial Observability


Calculate white dwarfs ages from effective temperature and surface gravity.

Gyro-Kinematic Ages for around 30,000 Kepler Stars

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

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

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


This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization

ContentWise Impressions: An Industrial Dataset with Impressions Included

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

On the Generalizability and Predictability of Recommender Systems

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

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

Improving Accountability in Recommender Systems Research Through Reproducibility


[MICCAI 2019] Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation


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

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


The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning


CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey

Detecting Message Modification Attacks on the CAN Bus with Temporal Convolutional Networks

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems

Addressing the Lack of Comparability & Testing in CAN Intrusion Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset


SLSpy provides a Python-based framework to design and simulate model-based control systems, especially for system level synthesis (SLS) methods.

SLSpy: Python-Based System-Level Controller Synthesis Framework

System Level Synthesis via Dynamic Programming


visual question answering prompting recipes for large vision-language models

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Kosmos-2: Grounding Multimodal Large Language Models to the World

COSMic: A Coherence-Aware Generation Metric for Image Descriptions

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering


【ICCV'2023】What Can Simple Arithmetic Operations Do for Temporal Modeling?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning


A Pytorch implementation of missing data imputation using optimal transport.

Missing Data Imputation using Optimal Transport

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

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


Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Directional Graph Networks

State of the Art and Potentialities of Graph-level Learning


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

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

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations


Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.

Learning Transferable Visual Models From Natural Language Supervision

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Brain decoding: toward real-time reconstruction of visual perception


Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

U-Net: Convolutional Networks for Biomedical Image Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights


Robust Attribution Regularization

Towards Evaluating the Robustness of Neural Networks

Robust Attribution Regularization

Smoothed Geometry for Robust Attribution

Rethinking Robustness of Model Attributions


Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D

Adaptive Mesh Refinement in 2D – An Efficient Implementation in Matlab

Computational Methods in Applied Mathematics

A coarsening algorithm on adaptive red-green-blue refined meshes


Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps


Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Towards Neural Network-based Reasoning

Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)


Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Outer Product-based Neural Collaborative Filtering

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

Collaborative Distillation for Top-N Recommendation

Bidirectional Distillation for Top-K Recommender System

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

Dual Adversarial Variational Embedding for Robust Recommendation

GAN-based Recommendation with Positive-Unlabeled Sampling

Dual-embedding based Neural Collaborative Filtering for Recommender Systems


A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

A Probabilistic U-Net for Segmentation of Ambiguous Images

Supervised Uncertainty Quantification for Segmentation with Multiple Annotations

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

Tensor Networks for Medical Image Classification

Uncertainty quantification in medical image segmentation with normalizing flows

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Topology-Aware Uncertainty for Image Segmentation

Generalized Probabilistic U-Net for medical image segementation

Locally orderless tensor networks for classifying two- and three-dimensional medical images

Operating critical machine learning models in resource constrained regimes


Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)

Mapping Paddy Rice in Complex Landscapes with Landsat Time Series Data and Superpixel-Based Deep Learning Method

Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data


Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions

Mixed Attention Network for Cross-domain Sequential Recommendation

Privacy-Preserving Cross-Domain Sequential Recommendation


A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning

SwitchTab: Switched Autoencoders Are Effective Tabular Learners


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

Deep k-Means: Jointly clustering with k-Means and learning representations

Seed-Guided Deep Document Clustering


TensorFlow as a Service, a general purpose framework to serve TF models.

LHC analysis-specific datasets with Generative Adversarial Networks

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC

Machine Learning as a Service for HEP


A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"

Distilling the Knowledge in a Neural Network

Learning without Forgetting


H&E histopathological staining normalization

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer

Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images

Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis


Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation


ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

IEEE Transactions on Intelligent Transportation Systems

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM

Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space

Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions

Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM


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

Adversarial Distillation of Bayesian Neural Network Posteriors

Learn to Forget: Machine Unlearning via Neuron Masking


Dataset and code for Findings of EMNLP'21 paper "CodeQA: A Question Answering Dataset for Source Code Comprehension".

A Transformer-based Approach for Source Code Summarization

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


Robust loss functions for deep neural networks (CVPR 2017)

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

Learning from Noisy Labels with Deep Neural Networks: A Survey

Wasserstein Adversarial Regularization for Learning With Label Noise

IEEE transactions on pattern analysis and machine intelligence

Wasserstein Adversarial Regularization (WAR) on label noise


Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

Association of lifestyle with deep learning predicted electrocardiographic age

ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods

Sami-Trop: 12-lead ECG traces with age and mortality annotations

Zenodo (CERN European Organization for Nuclear Research)

Screening for Chagas disease from the electrocardiogram using a deep neural network


residual-SqueezeNet

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization


SAL: Sign Agnostic Learning of Shapes From Raw Data

Implicit Geometric Regularization for Learning Shapes

SAL: Sign Agnostic Learning of Shapes from Raw Data

Controlling Neural Level Sets

SALD: Sign Agnostic Learning with Derivatives

LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation


MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Score-based diffusion models for accelerated MRI

Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

Deep, Deep Learning with BART

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

Self-Supervised Federated Learning for Fast MR Imaging


Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

An MPI-Based Python Framework for Distributed Training with Keras

Truly Sparse Neural Networks at Scale


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

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

Subject-Aware Contrastive Learning for Biosignals

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


Tools for processing and analyzing JWST data

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

The JWST Hubble Sequence: The Rest-Frame Optical Evolution of Galaxy Structure at $1.5 < z < 8$

EPOCHS VI: the size and shape evolution of galaxies since z ∼ 8 with JWST Observations

EPOCHS. II. The Ultraviolet Luminosity Function from 7.5 < z < 13.5 Using 180 arcmin2 of Deep, Blank Fields from the PEARLS Survey and Public JWST Data

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

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

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

EPOCHS Paper II: The Ultraviolet Luminosity Function from $7.5

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

The hierarchical formation of 30 Doradus as seen by JWST


Source-Free Domain Adaptation with Frozen Multimodal Foundation Model

Unified Source-Free Domain Adaptation

BigGait: Learning Gait Representation You Want by Large Vision Models


Four Federated learning datasets for Human Activity Recognition

ClusterFL: a similarity-aware federated learning system for human activity recognition

International Conference on Mobile Systems, Applications, and Services

A comprehensive ultra-wideband dataset for non-cooperative contextual sensing

A Comprehensive Survey of Federated Transfer Learning: Challenges,
  Methods and Applications


A Python package to intercalibrate light curves.

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

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

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

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

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

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

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


Genome-scale design tool for oligo hybridization probes

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

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

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

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

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

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

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

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


Causal Effect Inference with Deep Latent-Variable Models

A Survey on Causal Inference

Deep End-to-end Causal Inference

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Selective Regression Under Fairness Criteria

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

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

A unified survey of treatment effect heterogeneity modeling and uplift modeling

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

Disentangled Representation for Causal Mediation Analysis


Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

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

Understanding Hallucinations in Diffusion Models through Mode
  Interpolation

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

Switch EMA: A Free Lunch for Better Flatness and Sharpness


Unofficial Pytorch code for  "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

Don't fear the unlabelled: safe semi-supervised learning via simple debiasing

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics


Re-basin via implicit Sinkhorn differentiation

Analysis of Linear Mode Connectivity via Permutation-Based Weight
  Matching


Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics


UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


Document-Level Neural Machine Translation with Hierarchical Attention Networks

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation

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

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation

Document-level Neural Machine Translation with Associated Memory Network

Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation

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


Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Deep Metric Learning via Lifted Structured Feature Embedding

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning

Images & Recipes: Retrieval in the cooking context

International Conference on Data Engineering


Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"

Hidden Trigger Backdoor Attacks

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

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

Poisoned classifiers are not only backdoored, they are fundamentally broken

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

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks


A Python Toolbox for the analysis of electrophysiological data

FiNN: A toolbox for neurophysiological network analysis

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

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


PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Exploring the Limits of Language Modeling

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Efficient softmax approximation for GPUs

Factorization tricks for LSTM networks

Compressing Gradient Optimizers via Count-Sketches


ClariQ: SCAI Workshop data challenge on conversational search clarification.

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Unsupervised Question Clarity Prediction Through Retrieved Item Coherency

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding

System Initiative Prediction for Multi-turn Conversational Information Seeking


Deep neural architecture research framework

Regularized Evolution for Macro Neural Architecture Search

IFIP advances in information and communication technology

Towards automated neural design: An open source, distributed neural architecture research framework

NORD: A python framework for Neural Architecture Search


This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

A simple way to make neural networks robust against diverse image corruptions

Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

The Entropy Enigma: Success and Failure of Entropy Minimization


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

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

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

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

Period Classification in Chinese Historical Texts

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

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

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

Zuo Zhuan Ancient Chinese Dataset for Word Sense Disambiguation

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

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

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


Compilation of data from AR6 WG1


R functions to work with air pollution data


Gradient-Based Neural DAG Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Ordering-Based Causal Discovery with Reinforcement Learning

Differentiable DAG Sampling

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

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery

GFlowCausal: Generative Flow Networks for Causal Discovery

Reframed GES with a Neural Conditional Dependence Measure

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


Bag of Tricks for Graph Neural Networks.

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

Random Features Strengthen Graph Neural Networks

Robust Optimization as Data Augmentation for Large-scale Graphs

Edge Proposal Sets for Link Prediction


LLVM Obfuscator

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

XDA: Accurate, Robust Disassembly with Transfer Learning

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

NeuDep: neural binary memory dependence analysis

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

iOLLVM: Enhanced Version of OLLVM

Artificial Intelligence Trends & Technologies


This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important variables and to investigate variable relations using surrogate variables.

Application of random forest based approaches to surface-enhanced Raman scattering data

Surrogate minimal depth as an importance measure for variables in random forests

Opening the random forest black box by the analysis of the mutual impact of features

Opening the Random Forest Black Box of 1H NMR Metabolomics Data by the Exploitation of Surrogate Variables


Mapping Wikipedia pages to Wikidata IDs and vice versa.

Enriching BERT with Knowledge Graph Embeddings for Document Classification

BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning

Entity Linking in Tabular Data Needs the Right Attention

MathGloss: Building mathematical glossaries from text

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering


Gaia science performance simulation toolkit

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

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

The Astrophysical Journal Supplement Series

The internal rotation of globular clusters revealed by Gaia DR2

Monthly notices of the Royal Astronomical Society

Hunting for open clusters in Gaia DR2: the Galactic anticentre

Dynamical traceback age of the β Pictoris moving group

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

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

Astrometry with the Wide-Field Infrared Space Telescope

Overview of the DESI Milky Way Survey

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


Deep Averaging Networks

Deep Unordered Composition Rivals Syntactic Methods for Text Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Aff2Vec: Affect--Enriched Distributional Word Representations


A compact toolbox for backdoor attacks and defenses.

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling
  Consistency

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective


The PyTorch implementation of fine-tuning the GPT-2(Generative Pre-trained Transformer 2) for dialogue generation.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills


Data-driven dynamical systems toolbox.

Modern Koopman Theory for Dynamical Systems

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Deeptime: a Python library for machine learning dynamical models from time series data

Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator

Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

Tensor-based computation of metastable and coherent sets

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach

Koopman-Based Spectral Clustering of Directed and Time-Evolving Graphs

Transfer operators on graphs: Spectral clustering and beyond


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

Few-shot Anomaly Detection in Text with Deviation Learning


Object-Based Image Analysis Tools for Radiative Transfer Modeling


Code for SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

Situated and Interactive Multimodal Conversations


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

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

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Multitask Mixture of Sequential Experts for User Activity Streams

FasterMoE

Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

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

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

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

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


Deep learning for Metagenome Assembly Error Detection

DeepMAsED: evaluating the quality of metagenomic assemblies

DeepMAsED: Evaluating the quality of metagenomic assemblies

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


A sample MySQL database with an integrated test suite, used to test your applications and database servers

Snapshot semantics for temporal multiset relations

COMPARISON BETWEEN YII FRAMEWORKS AND LARAVEL IN 3 DIFFERENT VERSION FOR VIEWING LARGE DATA OF SHIPYARD INDUSTRY IN INDONESIA

International Journal of Innovation in Enterprise System

Genetic Algorithm for Relational Database Optimization in Reducing Query Execution Time

Blockchain-Based Access and Timeliness Control for Administrative Punishment Market Supervision

Managing Variability in Relational Databases by VDBMS


Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation

Dynamic and Efficient Inference for Text Generation via BERT Family

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


Python implementation of basic period detection and fitting routines for astronomical time series.

I Spy Transits and Pulsations: Empirical Variability in White Dwarfs Using Gaia and the Zwicky Transient Facility

TESS first look at evolved compact pulsators

Localizing Sources of Variability in Crowded TESS Photometry

Rubin Observatory LSST Transients and Variable Stars Roadmap

New Variable Hot Subdwarf Stars Identified from Anomalous Gaia Flux Errors, Observed by TESS, and Classified via Fourier Diagnostics

Discovery, TESS Characterization, and Modeling of Pulsations in the Extremely Low-mass White Dwarf GD 278

Asteroseismological analysis of the polluted ZZ Ceti star G29-38 with TESS

The Heating and Pulsations of V386 Serpentis after Its 2019 Dwarf Nova Outburst

Comprehensive spectroscopic and photometric study of pulsating eclipsing binary star AI Hya


ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Optimal Representations for Covariate Shift

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches


Next-generation scheduling problem solver based on GNNs and Reinforcement Learning

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

A Reinforcement Learning Environment For Job-Shop Scheduling

Learning to Solve Job Shop Scheduling under Uncertainty


Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

Does "Deep Learning on a Data Diet" reproduce? Overall yes, but GraNd at Initialization does not

Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions


A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

Effective and Efficient Training for Sequential Recommendation using Recency Sampling

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

Proceedings of the 17th ACM Conference on Recommender Systems

Generative Sequential Recommendation with GPTRec

Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning


A tool for measuring energy consumption of Intel CPUs

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

Tools and Algorithms for Construction and Analysis of Systems

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing

Hardware/Software Solution for Low Power Evaluation of Tsunami Danger

Journal of Low Power Electronics and Applications


Biomedical Word embeddings generated from Spanish Biomedical corpora.

FastText Spanish Medical Embeddings

Zenodo (CERN European Organization for Nuclear Research)

Spanish Clinical Word Embeddings in FastText

Spanish Biomedical Sub-word Embeddings in FastText


simpler single cell RNAseq data clustering

SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data

基因组蛋白质组与生物信息学报

Single-Cell Analysis Reveals Characterization of Infiltrating T Cells in Moderately Differentiated Colorectal Cancer

SSCC: a novel computational framework for rapid and accurate clustering large single cell RNA-seq data

Identification of the novel FOXP3-dependent Treg cell transcription factor MEOX1 by high-dimensional analysis of human CD4+ T cells


This is the parent repository for all the GEDE related activities (PIDs, Repositories, blockchains, citations, digital objects, surveys). We welcome comments to all activities.

FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Not Ready for Convergence in Data Infrastructures

Open Science and Data Science

Reproducible Research Publication Workflow: A Canonical Workflow Framework and FAIR Digital Object Approach to Quality Research Output

Updating Linked Data practices for FAIR Digital Object principles

Revolutions Take Time

A 25 Year Retrospective on D-Lib Magazine

Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)


Python quantum signal processing

Optimal Hamiltonian Simulation by Quantum Signal Processing

Grand Unification of Quantum Algorithms

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

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

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


Aligning AI With Shared Human Values (ICLR 2021)

Aligning AI With Shared Human Values

Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity

Mini Minds: Exploring Bebeshka and Zlata Baby Models


Combining dating methods for better stellar ages

Toward Precise Stellar Ages: Combining Isochrone Fitting with Empirical Gyrochronology

Evolution of the Exoplanet Size Distribution: Forming Large Super-Earths Over Billions of Years

SPInS, a pipeline for massive stellar parameter inference: A public Python tool to age-date, weigh, size up stars, and more

The HD 93963 A transiting system: A 1.04 d super-Earth and a 3.65 d sub-Neptune discovered by TESS and CHEOPS

K2-138 g: Spitzer Spots a Sixth Planet for the Citizen Science System

TOI-969: a late-K dwarf with a hot mini-Neptune in the desert and an eccentric cold Jupiter

Optical and near-infrared stellar activity characterization of the early M dwarf Gl 205 with SOPHIE and SPIRou


Sepsis cohort from MIMIC dataset

Medical Dead-ends and Learning to Identify High-risk States and Treatments

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications


Quantum circuit analysis toolkit

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

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

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

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

Quantum Circuit Optimization with AlphaTensor

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

Sized Types for Low-Level Quantum Metaprogramming

Quantum circuit optimization for multiple QPUs using local structure

Symbolic Synthesis of Clifford Circuits and Beyond

Using ZDDs in the Mapping of Quantum Circuits


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

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

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


A toolbox for solving phase factors in Quantum signal processing.

Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

Efficient phase-factor evaluation in quantum signal processing

Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices

Lecture Notes on Quantum Algorithms for Scientific Computation

Time-marching based quantum solvers for time-dependent linear differential equations

Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark

Quantum algorithms from fluctuation theorems: Thermal-state preparation

Quantum signal processing for simulating cold plasma waves

Robust iterative method for symmetric quantum signal processing in all parameter regimes

Nearly optimal state preparation for quantum simulations of lattice gauge theories


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

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Conversations with Search Engines: SERP-based Conversational Response Generation

Are Neural Ranking Models Robust?

Multi-span Style Extraction for Generative Reading Comprehension


Creative Commons Attribution 4.0 International

Systematic dataset of US sub-national Covid-19 policy data

Pandemic Policymaking in Presidential Federations: Explaining Subnational Responses to Covid-19 in Brazil, Mexico, and the United States

Direct and indirect mortality impacts of the COVID-19 pandemic in the United States, March 1, 2020 to January 1, 2022

Direct and indirect mortality impacts of the COVID-19 pandemic in the US, March 2020-April 2021

medRxiv : the preprint server for health sciences

A Case Study of Family Violence During COVID-19 in San Antonio

The Impact of School Opening Model on SARS-CoV-2 Community Incidence and Mortality: A Nationwide Cohort Study


An elegant PyTorch offline reinforcement learning library for researchers.

MOPO: Model-based Offline Policy Optimization

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

COMBO: Conservative Offline Model-Based Policy Optimization

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

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

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning

International Conference on Machine Learning

Model-based Offline Reinforcement Learning with Count-based Conservatism


MarginPolish: Graph based assembly polishing

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

Automated strain separation in low-complexity metagenomes using long reads

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

Assembling Quality Genomes of Flax Fungal Pathogens from Oxford Nanopore Technologies Data


A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

Bootstrap Latent Representations for Multi-modal Recommendation

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions

Multi-View Graph Convolutional Network for Multimedia Recommendation

Proceedings of the 31st ACM International Conference on Multimedia

MMRec: Simplifying Multimodal Recommendation

Multimodal Recommender Systems: A Survey

Large Multi-modal Encoders for Recommendation

FMMRec: Fairness-aware Multimodal Recommendation

End-to-end training of Multimodal Model and ranking Model


Absorption LIne Software

THE PRIMORDIAL DEUTERIUM ABUNDANCE OF THE MOST METAL-POOR DAMPED Lyα SYSTEM

Discovery of the most metal-poor damped Lyman-α system

Monthly Notices of the Royal Astronomical Society

Into the Ly α jungle: exploring the circumgalactic medium of galaxies at z ∼ 4−5 with MUSE

The ACCELERATION programme: I. Cosmology with the redshift drift

A bound on the 12C/13C ratio in near-pristine gas with ESPRESSO

Monthly notices of the Royal Astronomical Society

Artificial intelligence and quasar absorption system modelling; application to fundamental constants at high redshift

Oxygen-enhanced Extremely Metal-poor Damped Lyα Systems: A Signpost of the First Stars?

Mg ii Absorbers in High-resolution Quasar Spectra. I. Voigt Profile Models

Discovery of a Rare Late-type, Low-mass Wolf–Rayet Star in the LMC

A limit on Planck-scale froth with ESPRESSO


The University of New Hampshire Water Balance Model

Distinguishing Direct Human‐Driven Effects on the Global Terrestrial Water Cycle

WBM: A scalable gridded global hydrologic model with water tracking functionality

Delineation of endorheic drainage basins in the MERIT-Plus dataset for 5 and 15 minute upscaled river networks


Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

RWKV: Reinventing RNNs for the Transformer Era

Retentive Network: A Successor to Transformer for Large Language Models

Linear Transformers Are Secretly Fast Weight Programmers

Gated Linear Attention Transformers with Hardware-Efficient Training

xLSTM: Extended Long Short-Term Memory

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

HGRN2: Gated Linear RNNs with State Expansion

Parallelizing Linear Transformers with the Delta Rule over Sequence Length


A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.

PCGRL: Procedural Content Generation via Reinforcement Learning

Deep Learning for Procedural Content Generation

Procedural content generation using neuroevolution and novelty search for diverse video game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Tree Search vs Optimization Approaches for Map Generation


Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs


Sparse Gaussian Process Potentials

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

A Sparse Bayesian Committee Machine Potential for Hydrocarbons


AI-enhanced computational chemistry

MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows

Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models

The journal of physical chemistry letters

Energy-conserving molecular dynamics is not energy conserving

Physical chemistry chemical physics : PCCP

MLatom software ecosystem for surface hopping dynamics in Python with
  quantum mechanical and machine learning methods

Physics-informed active learning for accelerating quantum chemical
  simulations


Methylation/modified base calling separated from basecalling.

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Complete sequencing of a cynomolgus macaque major histocompatibility complex haplotype

Genome-wide methylation patterns from canine nanopore assemblies


Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

A Benchmark Environment Motivated by Industrial Control Problems

IEEE Symposium Series on Computational Intelligence

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


The VECMA toolkit for creating surrogate models of multiscale systems.

The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables

Deep active subspaces - a scalable method for high-dimensional uncertainty propagation

Resampling with neural networks for stochastic parameterization in multiscale systems

Uncertainty quantification patterns for multiscale models

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit


Tools for working with the @ESAGaia data and related data sets

The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

The Astrophysical Journal Supplement Series

Vertical waves in the solar neighbourhood in Gaia DR2

Stellar inventory of the solar neighbourhood using Gaia DR1

Using Gaia DR2 to constrain local dark matter density and thin dark disk

Journal of Cosmology and Astroparticle Physics

Tracing the Hercules stream with Gaia and LAMOST: new evidence for a fast bar in the Milky Way

Monthly Notices of the Royal Astronomical Society: Letters

Kinematic structures of the solar neighbourhood revealed by Gaia DR1/TGAS and RAVE

The stellar mass of the Gaia-Sausage/Enceladus accretion remnant


Python package for handling and analyzing PSRFITS files

A Second Chromatic Timing Event of Interstellar Origin toward PSR J1713+0747

THE NANOGRAV NINE-YEAR DATA SET: NOISE BUDGET FOR PULSAR ARRIVAL TIMES ON INTRADAY TIMESCALES

Upgraded antennas for pulsar observations in the Argentine Institute of Radio astronomy

VLA Observations of Single Pulses from the Galactic Center Magnetar

A Study in Frequency-dependent Effects on Precision Pulsar Timing Parameters with the Pulsar Signal Simulator

PSR J0437-4715: The Argentine Institute of Radioastronomy 2019-2020 Observational Campaign

Analysis of Multi-hour Continuous Observations of Seven Millisecond Pulsars

A broad survey of spectro-temporal properties from FRB 20121102A

Evaluating Low-frequency Pulsar Observations to Monitor Dispersion with the Giant Metrewave Radio Telescope


Proxy app for Nek5000

Mitigating network noise on Dragonfly networks through application-aware routing

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection

HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark


Code to evaluate and tune SPARK VIO pipeline.

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities


SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

TextMachina: Seamless Generation of Machine-Generated Text Datasets

TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain
  Machine Generated Text Detection Techniques

MasonTigers at SemEval-2024 Task 8: Performance Analysis of
  Transformer-based Models on Machine-Generated Text Detection

AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4


Code base for the U.S. EPA’s Atmospheric Model Evaluation Tool (AMET)

The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation

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


Modern C++ quantum computing library

Open source software in quantum computing

Quantum++: A modern C++ quantum computing library

Secure quantum computing for healthcare sector: A short analysis

Quantum Computing Toolkit From Nuts and Bolts to Sack of Tools

Classical Computer Assisted Analysis of Small Multiqudit Systems


PyTorch model training and layer saturation monitor

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

(Input) Size Matters for CNN Classifiers

Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training

Spectral Analysis of Latent Representations

Feature Space Saturation during Training


Qubit Simulation and Optimal Control for Quantum Systems

qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package

Analytic Filter-Function Derivatives for Quantum Optimal Control

Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise


Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group

Low flow sensitivity to water withdrawals in Central and Southwestern Europe under 2 K global warming


The DayTrader 7 benchmark sample, which is a Java EE 7 application built around the paradigm of an online stock trading system. #JavaEE7

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices

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

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

Lessons learned from hyper-parameter tuning for microservice candidate identification

An Expert System for Redesigning Software for Cloud Applications


An Open Source Spatio-Temporal Prediction Package

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

IEEE Transactions on Knowledge and Data Engineering

UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction


Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia

Spatially and temporally resolved measurements of NO&lt;sub&gt;x&lt;/sub&gt; fluxes by airborne eddy-covariance over Greater London

Ozone deposition to a coastal sea: comparison of eddy covariance observations with reactive air–sea exchange models

Eddy covariance measurements highlight sources of nitrogen oxide emissions missing from inventories for central London

Intercomparison of eddy-covariance software for urban tall-tower sites

Pandemic restrictions in 2020 highlight the significance of non-road NOx sources in central London


OCO-2 Satellite CO2 peak detector.


A collection of tutorials for Snorkel

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning from Rules Generalizing Labeled Exemplars

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

End-to-End Weak Supervision

Active WeaSuL: Improving Weak Supervision with Active Learning


Estimated marginal means

AKR-001, an Fc-FGF21 Analog, Showed Sustained Pharmacodynamic Effects on Insulin Sensitivity and Lipid Metabolism in Type 2 Diabetes Patients

Anterior and Posterior Left Inferior Frontal Gyrus Contribute to the Implementation of Grammatical Determiners During Language Production

Changes in Faecal Microbiota Profiles Associated With Performance and Birthweight of Piglets

Inbreeding shapes the evolution of marine invertebrates

Evolution; international journal of organic evolution

Schoolchildren discover hotspots of floating plastic litter in rivers using a large-scale collaborative approach

Xylem Phenology and Growth Response of European Beech, Silver Fir and Scots Pine along an Elevational Gradient during the Extreme Drought Year 2018

Fitness costs of individual and combined pyrethroid resistance mechanisms, kdr and CYP-mediated detoxification, in Aedes aegypti

Size-Dependent Sensitivity of Aquatic Insects to Metals

Determination of the Effect of Co-cultivation on the Production and Root Exudation of Flavonoids in Four Legume Species Using LC–MS/MS Analysis

Journal of agricultural and food chemistry

Root Microbiome Modulates Plant Growth Promotion Induced by Low Doses of Glyphosate


Repository for the documentation for Factom

Blockchain and IoT Integration: A Systematic Survey

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

Dominating OP Returns: The Impact of Omni and Veriblock on Bitcoin


A compression benchmark suite

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Foresight: Analysis That Matters for Data Reduction

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling


PrediXcan Project

Genome-wide association and expression quantitative trait loci studies identify multiple susceptibility loci for thyroid cancer

Transcriptome-wide association studies: a view from Mendelian randomization

Bid maintains mitochondrial cristae structure and function and protects against cardiac disease in an integrative genomics study

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease

A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

PrediXcan: Trait Mapping Using Human Transcriptome Regulation

Another Round of “Clue” to Uncover the Mystery of Complex Traits

SLINGER: large-scale learning for predicting gene expression

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes


Asset exposure data for global physical risk assessment

Regional tropical cyclone impact functions for globally consistent risk assessments

Natural hazards and earth system sciences

CLIMADA v1.4.1: towards a globally consistent adaptation options appraisal tool

Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland

Large-scale risk assessment on snow avalanche hazard in alpine regions

Global protection from tropical cyclones by coastal ecosystems—past, present, and under climate change

Bayesian modeling of insurance claims for hail damage


Layer Normalization

DropBlock: A regularization method for convolutional networks

Dice Loss for Data-imbalanced NLP Tasks

Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

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

GaitPart: Temporal Part-Based Model for Gait Recognition

Root Mean Square Layer Normalization

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

A Self-Attentive model for Knowledge Tracing

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation


Privacy Engineering Collaboration Space

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Kamino: Constraint-Aware Differentially Private Data Synthesis

Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards.