This repository contains a script that can be used to facilitate the data workflow for soft-linking of global IAMs and global power system models.

The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100

Global environmental change : human and policy dimensions

Long-term economic growth projections in the Shared Socioeconomic Pathways

Global urbanization projections for the Shared Socioeconomic Pathways

Future growth patterns of world regions – A GDP scenario approach

Income projections for climate change research: A framework based on human capital dynamics

Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally

International Journal of Electrical Power & Energy Systems

Long term load projection in high resolution for all countries globally

Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data

Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework


Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

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

MetaSDF: Meta-learning Signed Distance Functions

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Meta-learning Spiking Neural Networks with Surrogate Gradient Descent

Improving Multi-Task Generalization via Regularizing Spurious Correlation

Jersey number detection using synthetic data in a low-data regime

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture


The server portion of the Neural Chat project to deploy chatbots on web. This code is accompanied by another repository that includes the chatbot models: for training, evaluating and interacting with our open-sourced neural dialog models, use https://github.com/natashamjaques/neural_chat.

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems

Human-centric Dialog Training via Offline Reinforcement Learning


[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment


Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Handling Rare Entities for Neural Sequence Labeling

Meeting of the Association for Computational Linguistics

Segmenting Natural Language Sentences via Lexical Unit Analysis

Neural Sequence Segmentation as Determining the Leftmost Segments


Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

Gradients of Connectivity as Graph Fourier Bases of Brain Activity

Age-related differences in the functional topography of the locus coeruleus: implications for cognitive and affective functions

medRxiv : the preprint server for health sciences

Gradients of brain organization: Smooth sailing from methods development
  to user community

Gradients of striatal function in antipsychotic-free first-episode psychosis and schizotypy

Multimodal gradient mapping of rodent hippocampus


A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

Reasoning about Entailment with Neural Attention

Recurrent Batch Normalization

Contradiction Detection in Persian Text


A Batch Normalized Inference Network Keeps the KL Vanishing Away

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation


Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

DrImpute: imputing dropout events in single cell RNA sequencing data

Single-Cell Transcriptomics Bioinformatics and Computational Challenges


COMP6 Benchmark dataset for ML potentials

ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Less is more: Sampling chemical space with active learning

ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

Outsmarting Quantum Chemistry Through Transfer Learning

Learning Small Molecule Energies and Interatomic Forces with an Equivariant Transformer on the ANI-1x Dataset


A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words

International Conference on Computational Linguistics

Seed-Guided Deep Document Clustering

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals


Official Repository for "The Curious Case of Neural Text Degeneration"

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

MAUVE Scores for Generative Models: Theory and Practice

Leveraging Pre-trained Models for Failure Analysis Triplets Generation

FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy


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


This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Boosting Adversarial Attacks with Momentum


[SIGIR 2022] The implementation of Logiformer

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning

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


[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


Attribute-Object Visual Composition using Attributes as Operators

Attributes as Operators: Factorizing Unseen Attribute-Object Compositions

Task-Aware Feature Generation for Zero-Shot Compositional Learning

Zero-Shot Compositional Concept Learning

Translational Concept Embedding for Generalized Compositional Zero-shot Learning


Combating hidden stratification with GEORGE

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data


Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense


MiniCard: An efficient cardinality solver based on MiniSAT

Not all FPRASs are equal: demystifying FPRASs for DNF-counting

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

Encoding Cardinality Constraints using Generalized Selection Networks

Portfolio solver for verifying Binarized Neural Networks

Az Eszterházy Károly Tanárképző Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Az Eszterházy Károly Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Annales mathematicae et informaticae

Multidesigns for a graph pair of order 6


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

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress

Extreme Q-Learning: MaxEnt RL without Entropy

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Learning Dexterous Manipulation from Suboptimal Experts


A challenging, in the wild dataset for experimentation with face masks with 63,072 face images.

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

State of the Art of Quality Assessment of Facial Images


reverse gene expression score

Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets

RETRACTED ARTICLE: Computational Drug Repositioning for Gastric Cancer using Reversal Gene Expression Profiles

Validation of transcriptome signature reversion for drug repurposing in oncology

A multiparametric pharmacogenomic strategy for drug repositioning predicts therapeutic efficacy for glioblastoma cell lines.


Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.

On Measuring Social Biases in Sentence Encoders

Assessing Social and Intersectional Biases in Contextualized Word Representations

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

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

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

Investigating Gender Bias in Turkish Language Models


Simultaneous NMT/MMT framework in PyTorch

Simultaneous Machine Translation with Visual Context

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation

Visual Cues and Error Correction for Translation Robustness

Exploring Supervised and Unsupervised Rewards in Machine Translation


Graph Neural Networks with Learnable and Optimal Polynomial Bases

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach


Dialogue model that produces empathetic responses when trained on the EmpatheticDialogues dataset.

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

Conversational Agents: Goals, Technologies, Vision and Challenges

Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Conditional Text Generation for Harmonious Human-Machine Interaction

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication

Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition

A Multi-Turn Emotionally Engaging Dialog Model

Exploring ChatGPT's Empathic Abilities

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning


Implementation of TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (https://arxiv.org/pdf/1908.01763.pdf)

Black-box Detection of Backdoor Attacks with Limited Information and Data

Trigger Hunting with a Topological Prior for Trojan Detection

Learning Topological Representations for Deep Image Understanding


phenoscanner allows users to query the PhenoScanner database of genotype-phenotype associations from inside R

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility

Multiple functional variants in the IL1RL1 region are pretransplant markers for risk of GVHD and infection deaths

Identification of potential drug targets for varicose veins: a Mendelian randomization analysis


Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

A Minimalist Approach to Offline Reinforcement Learning

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

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

Boosting Offline Reinforcement Learning via Data Rebalancing


VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

Pyramid Convolutional RNN for MRI Image Reconstruction

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


Official implementation of the Generalized Wasserstein Dice Loss in PyTorch

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge


This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.

Disentangling factors of variation in deep representations using adversarial training

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders

Challenges in Disentangling Independent Factors of Variation

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision


SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

TransMix: Attend to Mix for Vision Transformers

SAGE: Saliency-Guided Mixup with Optimal Rearrangements


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


CMU Document Grounded Conversation Dataset

A Dataset for Document Grounded Conversations

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment

∞-former: Infinite Memory Transformer

Contextual Knowledge Learning for Dialogue Generation

Building knowledge-grounded dialogue systems with graph-based semantic modelling


The Continual Learning App

Latent Replay for Real-Time Continual Learning

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

Continual Learning at the Edge: Real-Time Training on Smartphone Devices


Tools to train and explore diachronic word embeddings from Big Historical Data


Visualizing representations with diffusion based conditional generative model.

Diffusion Models Beat GANs on Image Synthesis

High Fidelity Visualization of What Your Self-Supervised Representation Knows About

The Hidden Uniform Cluster Prior in Self-Supervised Learning


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

Faraday tomography of LoTSS-DR2 data

The Spiderweb Protocluster is Being Magnetized by Its Central Radio Jet

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


Robust Attribution Regularization

Towards Evaluating the Robustness of Neural Networks

Robust Attribution Regularization

Smoothed Geometry for Robust Attribution

Rethinking Robustness of Model Attributions


Python Package for Modelling Dust Evolution in Protoplanetary Disks.

DustPy: A Python Package for Dust Evolution in Protoplanetary Disks

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

The impact of dynamic pressure bumps on the observational properties of protoplanetary disks

First steps of planet formation around very low mass stars and brown dwarfs

The bouncing barrier revisited: Impact on key planet formation processes and observational signatures

The impact of dust evolution on the dead zone outer edge in magnetized protoplanetary disks

Millimeter emission in photoevaporating disks is determined by early substructures


Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

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

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Self-supervised Graph Neural Networks without explicit negative sampling

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs


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


[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


The implement of paper "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN"

Deep Intellectual Property Protection: A Survey

False Claims against Model Ownership Resolution


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)


Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Deep Compositional Metric Learning


Equivalent Latitude and  polar vortex edge calculation using Nash criteria


The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)

Variational Deep Semantic Hashing for Text Documents

Unsupervised Neural Generative Semantic Hashing


Transformer-based model for learning authorship representations.

Learning Invariant Representations of Social Media Users

A Deep Metric Learning Approach to Account Linking

Few-Shot Detection of Machine-Generated Text using Style Representations

Can Authorship Representation Learning Capture Stylistic Features?

Learning to Generate Text in Arbitrary Writing Styles


Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

G-TAD: Sub-Graph Localization for Temporal Action Detection

Video Self-Stitching Graph Network for Temporal Action Localization


Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7

Offline Meta-Reinforcement Learning with Online Self-Supervision

Context Shift Reduction for Offline Meta-Reinforcement Learning

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression


Providing up-to-date phage genome databases, metrics and useful input files for a number of bioinformatic pipelines.

A Roadmap for Genome-Based Phage Taxonomy

INfrastructure for a PHAge REference Database: Identification of Large-Scale Biases in the Current Collection of Cultured Phage Genomes

Expanding the genomic encyclopedia of Actinobacteria with 824 isolate reference genomes

INfrastructure for a PHAge REference Database: Identification of large-scale biases in the current collection of phage genomes

Ecogenomics and cultivation reveal distinctive viral-bacterial communities in the surface microlayer of a Baltic Sea slick

Predicting stop codon reassignment improves functional annotation of bacteriophages

bioRxiv : the preprint server for biology

Genomic Characterization and Annotation of Two Novel Bacteriophages Isolated from a Wastewater Treatment Plant in Qatar

Driving through stop signs: predicting stop codon reassignment improves functional annotation of bacteriophages


Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

TWEETQA: A Social Media Focused Question Answering Dataset

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering


Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

Federated Optimization in Heterogeneous Networks

Exploiting Shared Representations for Personalized Federated Learning

Adaptive Personalized Federated Learning


Speaker anonymization pipeline for hiding the identity of the speaker of a recording by changing the voice in it.

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

The VoicePrivacy 2022 Challenge Evaluation Plan

Speaker Anonymization with Phonetic Intermediate Representations

Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

Probing the Feasibility of Multilingual Speaker Anonymization


A Toolkit for Distributional Control of Generative Models

Aligning Language Models with Preferences through f-divergence Minimization

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints

Should you marginalize over possible tokenizations?

disco: a toolkit for Distributional Control of Generative Models


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


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


Watermarking Deep Neural Networks (USENIX 2018)

Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data

SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)

Puppy: A Publicly Verifiable Watermarking Protocol


Python program to calculate bolometric luminosities from astrophysical observations

The Type II-plateau Supernova 2017eaw in NGC 6946 and Its Red Supergiant Progenitor

The evolution of superluminous supernova LSQ14mo and its interacting host galaxy system

An extremely energetic supernova from a very massive star in a dense medium

An Early-time Optical and Ultraviolet Excess in the Type-Ic SN 2020oi

The Lowest of the Low: Discovery of SN 2019gsc and the Nature of Faint Iax Supernovae

Progenitor, environment, and modelling of the interacting transient AT 2016jbu (Gaia16cfr)

Monthly notices of the Royal Astronomical Society

SN 2020ank: a bright and fast-evolving H-deficient superluminous supernova

SN 2020wnt: a slow-evolving carbon-rich superluminous supernova with no O II lines and a bumpy light curve

A Systematic Study of Superluminous Supernova Light-curve Models Using Clustering

Final Moments. II. Observational Properties and Physical Modeling of Circumstellar-material-interacting Type II Supernovae


Bibliographies of the Bibliometric-enhanced Information Retrieval workshops and related other workshops.

Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

Frontiers in research metrics and analytics

Report on the 7th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2018)

Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)


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 simulation framework for Robotic Mobile Fulfillment Systems

RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

Path planning for Robotic Mobile Fulfillment Systems

Active Repositioning of Storage Units in Robotic Mobile Fulfillment Systems


Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning
  Weight Changes and Backdoor Activeness

Fisher Information guided Purification against Backdoor Attacks


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

NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation


Look Up Guild Information for Fungi in R

Altitudinal Variation Influences Soil Fungal Community Composition and Diversity in Alpine–Gorge Region on the Eastern Qinghai–Tibetan Plateau

Grazing lowers soil multifunctionality but boosts soil microbial network complexity and stability in a subtropical grassland of China

Full-Season Cover Crops and Their Traits That Promote Agroecosystem Services

Soil fungal communities of ectomycorrhizal dominated woodlands across West Africa

Earthworm-invaded boreal forest soils harbour distinct microbial communities


Scripts and noise data for Belinkov & Bisk 2018

Synthetic and Natural Noise Both Break Neural Machine Translation

On Adversarial Examples for Character-Level Neural Machine Translation

Towards a Robust Deep Neural Network in Texts: A Survey


Core code for the DeepHF prediction tool

Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

Pooled CRISPR screening at high sensitivity with an empirically designed sgRNA library

gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement

Guide-specific loss of efficiency and off-target reduction with Cas9 variants


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


This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning

Matching Networks for One Shot Learning

Meta-Learning for Semi-Supervised Few-Shot Classification

Meta-learning with differentiable closed-form solvers


NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

A Linear-Time Kernel Goodness-of-Fit Test

Informative Features for Model Comparison

Denoising Score Matching with Random Fourier Features


PyTorch code to run synthetic experiments.

Invariant Risk Minimization

Environment Inference for Invariant Learning

Domain Generalization using Causal Matching

Invariant Risk Minimization Games

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization

Learning explanations that are hard to vary

Out of Distribution Generalization in Machine Learning

When is invariance useful in an Out-of-Distribution Generalization problem ?

Graph Rationalization with Environment-based Augmentations

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


Explaining a black-box using Deep Variational Information Bottleneck Approach

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach

A Framework to Learn with Interpretation

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF


Identification of Differentially Expressed Splice Variants by the Proteogenomic Pipeline Splicify

Silencing Core Spliceosome Sm Gene Expression Induces a Cytotoxic Splicing Switch in the Proteasome Subunit Beta 3 mRNA in Non-Small Cell Lung Cancer Cells

International journal of molecular sciences

Variant biomarker discovery using mass spectrometry-based proteogenomics


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


Deep Structured Energy Based Models for Anomaly Detection

Adversarially Learned Anomaly Detection

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems


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


Code of the CVPR 2021 Oral paper: A Recurrent Vision-and-Language BERT for Navigation

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation

Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning

IEEE transactions on pattern analysis and machine intelligence


Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph Contrastive Learning Automated

Graph-based Molecular Representation Learning

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Mix-Key: graph mixup with key structures for molecular property prediction


Java-Based Context-aware Recommendation Library

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Deep Learning-Based Context-Aware Recommender System Considering Contextual Features

Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison

Graph Neural Network for Context-Aware Recommendation

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems

Recommending on graphs: a comprehensive review from a data perspective

A User's Guide to CARSKit

Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction


Reads a state transition system and performs property checking

AVR: Abstractly Verifying Reachability

Tools and Algorithms for Construction and Analysis of Systems

Pono: A Flexible and Extensible SMT-Based Model Checker

Model Checking of Verilog RTL Using IC3 with Syntax-Guided Abstraction

Towards an Automatic Proof of Lamport's Paxos


MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search

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

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

Tracking Progress in Multi-Agent Path Finding

Introducing Delays in Multi-Agent Path Finding


[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval


Full Frame Fotometry from the Kepler Full Frame Images

Long-term Photometric Variability in Kepler Full-frame Images: Magnetic Cycles of Sun–like Stars

Long rotation period main-sequence stars from Kepler SAP light curves

Orbital Period Variation of KIC 10544976: Applegate Mechanism versus Light Travel Time Effect


tools to work with data downloaded from Open Humans research platform

Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems

Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis


Source code of The Neural Hawkes Process (NIPS 2017)

The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM Transactions on Intelligent Systems and Technology

A Multi-Channel Neural Graphical Event Model with Negative Evidence

An Empirical Study: Extensive Deep Temporal Point Process


Automatically exported from code.google.com/p/dipha

A roadmap for the computation of persistent homology

An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists

Ripser: efficient computation of Vietoris–Rips persistence barcodes

Journal of Applied and Computational Topology

Geometry Helps to Compare Persistence Diagrams

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams

Tree-Sliced Variants of Wasserstein Distances

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Non-empirical identification of trigger sites in heterogeneous processes using persistent homology

A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification

Sparse-TDA: Sparse Realization of Topological Data Analysis for Multi-Way Classification


Streamlined neural network training.

Jet flavour tagging for future colliders with fast simulation

Classify the Higgs decays with the PFN and ParticleNet at electron-positron colliders

Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments

Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server


python module for performing blocking analysis on data containing serial correlations

Developments in stochastic coupled cluster theory: The initiator approximation and application to the uniform electron gas

The HANDE-QMC Project: Open-Source Stochastic Quantum Chemistry from the Ground State Up.

Journal of chemical theory and computation

Data from "Linked Coupled Cluster Monte Carlo"

A study of the dense uniform electron gas with high orders of coupled cluster

The Highly Accurate N-DEterminant (HANDE) quantum Monte Carlo project: Open-source stochastic diagonalisation for quantum chemistry

Exciting Determinants in Quantum Monte Carlo: Loading the Dice with Fast, Low-Memory Weights

Minimising biases in Full Configuration Interaction Quantum Monte Carlo

An auxiliary-Field quantum Monte Carlo perspective on the ground state of the dense uniform electron gas: An investigation with Hartree-Fock trial wavefunctions

Understanding and improving the efficiency of full configuration interaction quantum Monte Carlo

Large scale parallelization in stochastic coupled cluster.


Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

Certified Reinforcement Learning with Logic Guidance

LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning

Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees


Converts raw cadence target data from the Kepler space telescope into astronomer-friendly FITS files.

K2 Observations of SN 2018oh Reveal a Two-Component Rising Light Curve for a Type Ia Supernova

K2-136: A Binary System in the Hyades Cluster Hosting a Neptune-sized Planet

Sixty Validated Planets from K2 Campaigns 5–8

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Photodynamical analysis of the triply eclipsing hierarchical triple system EPIC 249432662

Planetary Candidates from K2 Campaign 16

Three Small Planets Transiting the Bright Young Field Star K2-233

The random transiter - EPIC 249706694/HD 139139

A TESS Dress Rehearsal: Planetary Candidates and Variables from K2 Campaign 17

The Astrophysical Journal Supplement Series

Another Superdense Sub-Neptune in K2-182 b and Refined Mass Measurements for K2-199 b and c


Sentiment analysis in Pytorch on an IMDb dataset.

Attention Is All You Need

Convolutional Neural Networks for Sentence Classification

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Language Model Fine-tuning for Text Classification


Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

Bottleneck Transformers for Visual Recognition

Scaling Local Self-Attention for Parameter Efficient Visual Backbones


Make a non-redundant, comprehensive COI database from NCBI and BOLD and include customizing options

COInr and mkCOInr: Building and customizing a nonredundant barcoding reference database from BOLD and NCBI using a semi‐automated pipeline

COInr and mkCOInr: Building and customizing a non-redundant barcoding reference database from BOLD and NCBI using a lightweight pipeline

COInr a comprehensive, non-redundant COI database from NCBI-nt and BOLD


[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher


Code repository for Ensemble Bayesian Optimization

Batched Large-scale Bayesian Optimization in High-dimensional Spaces

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Sample-Then-Optimize Batch Neural Thompson Sampling

Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB

Pseudo-Bayesian Optimization


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


Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

Calibration of Pre-trained Transformers

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

Crystal: Introspective Reasoners Reinforced with Self-Feedback


Bilinear Attention Networks

Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering

Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

IEEE transactions on neural networks and learning systems


Four Federated learning datasets for Human Activity Recognition

MobiSys - 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


Natural Language for Optimization Modelling

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

Highlighting Named Entities in Input for Auto-Formulation of Optimization Problems


A Transformer-based Framework for Multivariate Time Series Representation Learning

Evolving Attention with Residual Convolutions

Convolution-enhanced Evolving Attention Networks


CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)

GraphR: Accelerating Graph Processing Using ReRAM

CuMF_SGD: Fast and Scalable Matrix Factorization

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems


Analysis of antibody NGS data

Commonality despite exceptional diversity in the baseline human antibody repertoire

Systems Biology Methods Applied to Blood and Tissue for a Comprehensive Analysis of Immune Response to Hepatitis B Vaccine in Adults

Recognition determinants of improved HIV-1 neutralization by a heavy chain matured pediatric antibody

B cell repertoire sequencing of HIV-1 pediatric elite-neutralizers identifies multiple broadly neutralizing antibody clonotypes

Antigen pressure from two founder viruses induces multiple insertions at a single antibody position to generate broadly neutralizing HIV antibodies


A simple PyTorch implementation of influence functions.

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time

TRAK: Attributing Model Behavior at Scale

If Influence Functions are the Answer, Then What is the Question?


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


Breaching privacy in federated learning scenarios for vision and text

Inverting Gradients -- How easy is it to break privacy in federated learning?

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

When the Curious Abandon Honesty: Federated Learning Is Not Private

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

R-GAP: Recursive Gradient Attack on Privacy

Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models

Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification

LAMP: Extracting Text from Gradients with Language Model Priors

User-Level Label Leakage from Gradients in Federated Learning

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models


On-Device Domain Generalization

Distilling the Knowledge in a Neural Network

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

On-Device Domain Generalization


Deep networks for Earth Observation

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Weakly supervised change detection using guided anisotropic diffusion

Very high resolution Airborne PolSAR Image Classification using Convolutional Neural Networks

No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths

Region-Enhancing Network for Semantic Segmentation of Remote-Sensing Imagery

On the Importance of 3D Surface Information for Remote Sensing Classification Tasks


This branch is developed for deep face recognition

NormFace: L2 Hypersphere Embedding for Face Verification

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks

Regularizing Face Verification Nets For Pain Intensity Regression

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

SeqFace: Make full use of sequence information for face recognition

SeqFace: Learning discriminative features by using face sequences

A simple and effective postprocessing method for image classification


CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

Learning from Noisy Labels with Deep Neural Networks: A Survey

Combating noisy labels by agreement: A joint training method with co-regularization

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Wasserstein Adversarial Regularization (WAR) on label noise

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Graph-Based Continual Learning

Gated Information Bottleneck for Generalization in Sequential Environments

Learning to Transfer with von Neumann Conditional Divergence

Continual Invariant Risk Minimization


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

Situated and Interactive Multimodal Conversations


A cold, massive, rotating disk galaxy 1.5 billion years after the Big Bang

The Kinematics of z ≳ 6 Quasar Host Galaxies

Dissecting the Local Environment of FRB 190608 in the Spiral Arm of its Host Galaxy

A Comparison of the Stellar, CO, and Dust-continuum Emission from Three Star-forming HUDF Galaxies at z ∼ 2

The SUPERCOLD-CGM Survey. I. Probing the Extended CO(4–3) Emission of the Circumgalactic Medium in a Sample of 10 Enormous Lyα Nebulae at z ∼ 2


One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles

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

Pchatbot: A Large-Scale Dataset for Personalized Chatbot

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot

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


Pre-trained models and language resources for Natural Language Processing in Polish

Combining neural and knowledge-based approaches to Named Entity Recognition in Polish

Evaluation of Sentence Representations in Polish

Sentiment Analysis with Contextual Embeddings and Self-Attention

Hybrid retrievers with generative re-rankers

Conference on Computer Science and Information Systems


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


Functions for single cell data analysis

Trophoblast Cell Subtypes and Dysfunction in the Placenta of Individuals with Preeclampsia Revealed by Single-Cell RNA Sequencing

Diversity and heterogeneity in human breast cancer adipose tissue revealed at single-nucleus resolution

An advanced comprehensive muti-cell-type-specific model for predicting anti-PD-1 therapeutic effect in melanoma


FastSpeech: Fast, Robust and Controllable Text to Speech

VRAIN-UPV MLLP's system for the Blizzard Challenge 2021

Speaking rate attention-based duration prediction for speed control TTS


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

Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features

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


ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning

Shapley variable importance cloud for interpretable machine learning

Shapley variable importance clouds for interpretable machine learning

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


Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

AutoAugment: Learning Augmentation Policies from Data

Unlabeled Data Improves Adversarial Robustness

Decoupled Knowledge Distillation

Rethinking the Pruning Criteria for Convolutional Neural Network

Relating Adversarially Robust Generalization to Flat Minima

Grounding inductive biases in natural images:invariance stems from variations in data

Encoding Robustness to Image Style via Adversarial Feature Perturbations

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

Transformer Fusion with Optimal Transport

FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection


An open-source benchmark for generating design RTL with natural  language

RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

Towards LLM-Powered Verilog RTL Assistant: Self-Verification and
  Self-Correction

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust


This repo contains the official training and testing codes for our paper:  GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Residual Dense Network for Image Super-Resolution


Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Revisiting Pre-Trained Models for Chinese Natural Language Processing

PERT: Pre-training BERT with Permuted Language Model

Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers

Improving NER's Performance with Massive financial corpus


Generating iToL annotations from Spreadsheet or CSV files

A practical guide to amplicon and metagenomic analysis of microbiome data

Visualizing translation dynamics at atomic detail inside a bacterial cell

Still Something to Discover: Novel Insights into Escherichia coli Phage Diversity and Taxonomy

Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora

In-Depth Characterization of Full-Length Archived Viral Genomes after Nine Years of Posttreatment HIV Control


[NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior

Neural Radiance Flow for 4D View Synthesis and Video Processing

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

Deep Video Prior for Video Consistency and Propagation


This repository includes the code for neural DRS parsing

Exploring Neural Methods for Parsing Discourse Representation Structures

Evaluating Scoped Meaning Representations

Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT


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

Improving Weak-to-Strong Generalization with Reliability-Aware Alignment

Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?

Mini Minds: Exploring Bebeshka and Zlata Baby Models


Genomic interval machine learning

Methods for constructing and evaluating consensus genomic interval sets

Fast clustering and cell-type annotation of scATAC data using pre-trained embeddings

Joint Representation Learning for Retrieval and Annotation of Genomic Interval Sets


Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search" by David Maxwell Chickering.

Causal Discovery for Fairness

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal
  View

From Causal Pairs to Causal Graphs

Metrics on Markov Equivalence Classes for Evaluating Causal Discovery
  Algorithms


PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Class-Incremental Learning: A Survey

Continual Learning with Pre-Trained Models: A Survey

PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

Self-Expansion of Pre-trained Models with Mixture of Adapters for
  Continual Learning


[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

KPConv: Flexible and Deformable Convolution for Point Clouds

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Multi-Space Alignments Towards Universal LiDAR Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

Is Your HD Map Constructor Reliable under Sensor Corruptions?


Code for the CRAC 2021 paper "On Generalization in Coreference Resolution" (Best short paper award)

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks

DORE: Document Ordered Relation Extraction based on Generative Framework

Dual Cache for Long Document Neural Coreference Resolution

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


MESHOID: MESHless Operations such as Integrals and Derivatives

Strong Dark Matter Self-interactions Diversify Halo Populations within and surrounding the Milky Way

The global structure of magnetic fields and gas in simulated Milky Way-analogue galaxies

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


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

Single-cell transcriptome analysis reveals T population heterogeneity and functions in tumor microenvironment of colorectal cancer metastases


ViLMedic (Vision-and-Language medical research) is a modular framework for vision and language multimodal research in the medical field

Contrastive Learning of Medical Visual Representations from Paired Images and Text

Generating Radiology Reports via Memory-driven Transformer

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

International Conference on Computer Vision

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

ViLMedic: a framework for research at the intersection of vision and language in medical AI

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization

Workshop on Biomedical Natural Language Processing

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities


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


Thurstonian scaling for pair-wise comparison experiments

HDR image reconstruction from a single exposure using deep CNNs

International Conference on Computer Graphics and Interactive Techniques

Towards a quality metric for dense light fields

A practical guide and software for analysing pairwise comparison experiments

From Pairwise Comparisons and Rating to a Unified Quality Scale

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

Naturally glossy: Gloss perception, illumination statistics, and tone mapping

Temporal Resolution Multiplexing: Exploiting the limitations of spatio-temporal vision for more efficient VR rendering

IEEE transactions on visualization and computer graphics

Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy

Psychometric scaling of TID2013 dataset

ColorNet -- Estimating Colorfulness in Natural Images

Comparing Direct and Indirect Methods of Audio Quality Evaluation in Virtual Reality Scenes of Varying Complexity


FEELnc : FlExible Extraction of LncRNA

FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome

Oak genome reveals facets of long lifespan

FEELnc: A tool for Long non-coding RNAs annotation and its application to the dog transcriptome

Whole-Transcriptome Analysis of Non-Coding RNA Alteration in Porcine Alveolar Macrophage Exposed to Aflatoxin B1

Co-expression analysis of lncRNA and mRNA identifies potential adipogenesis regulatory non-coding RNAs involved in the transgenerational effects of tributyltin

Exploring the landscape of tools and resources for the analysis of long non-coding RNAs

Computational and structural biotechnology journal

LncRNAs Are Differentially Expressed between Wildtype and Cell Line Strains of African Trypanosomes

lncRNA-miRNA-mRNA network in kidney transcriptome of Labeo rohita under hypersaline environment

In-depth analyses of lncRNA and circRNA expression in the hippocampus of LPS-induced AD mice by Byu d Mar 25


The Camunda Carbon Reductor allows you to time shift your processes' carbon emissions when energy is clean while still fulfilling the requested SLAs.


Leaked Mirai Source Code for Research/IoC Development Purposes

N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks

IEEE Transactions on Dependable and Secure Computing

AntibIoTic: Protecting IoT Devices Against DDoS Attacks

PROCEEDINGS OF 5TH INTERNATIONAL CONFERENCE IN SOFTWARE ENGINEERING FOR DEFENCE APPLICATIONS

Intelligent and behavioral-based detection of malware in IoT spectrum sensors

International Journal of Information Security

eMUD: Enhanced Manufacturer Usage Description for IoT Botnets Prevention on Home WiFi Routers

The Impact of DoS Attacks onResource-constrained IoT Devices: A Study on the Mirai Attack

A Highly Secure IoT Firmware Update Mechanism Using Blockchain

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior


UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons

Time-Correlated Window-Carrier-Phase-Aided GNSS Positioning Using Factor Graph Optimization for Urban Positioning

PPPLib: An open-source software for precise point positioning using GPS, BeiDou, Galileo, GLONASS, and QZSS with multi-frequency observations

Simulation Experiment and Analysis of GNSS/INS/LEO/5G Integrated Navigation Based on Federated Filtering Algorithm

Coarse-to-Fine Loosely-Coupled LiDAR-Inertial Odometry for Urban Positioning and Mapping

3D Vision Aided GNSS Real-Time Kinematic Positioning for Autonomous Systems in Urban Canyons

NAVIGATION: Journal of the Institute of Navigation

An Algorithm to Assist the Robust Filter for Tightly Coupled RTK/INS Navigation System


This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

Evaluating Differentially Private Machine Learning in Practice

Revisiting Membership Inference Under Realistic Assumptions

Are Attribute Inference Attacks Just Imputation?

Investigating Membership Inference Attacks under Data Dependencies

Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning


An elegant PyTorch offline reinforcement learning library for researchers.

A Minimalist Approach to Offline Reinforcement Learning

MOPO: Model-based Offline Policy Optimization

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


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


Descriptor computation(chemistry) and (optional) storage for machine learning

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

Analyzing Learned Molecular Representations for Property Prediction

Does GNN Pretraining Help Molecular Representation?

High-throughput synthesis provides data for predicting molecular properties and reaction success

Zenodo (CERN European Organization for Nuclear Research)

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

Improving Compound Activity Classification via Deep Transfer and Representation Learning


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

The ACCELERATION programme: I. Cosmology with the redshift drift

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

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

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

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

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

A limit on Planck-scale froth with ESPRESSO


Zero-inflated dimensionality reduction algorithm for single-cell data

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Single-cell transcriptome analysis of fish immune cells provides insight into the evolution of vertebrate immune cell types

Computational approaches for interpreting scRNA-seq data

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion


APPS: Automated Programming Progress Standard (NeurIPS 2021)

Measuring Mathematical Problem Solving With the MATH Dataset

Holistic Evaluation of Language Models

Measuring Coding Challenge Competence With APPS

Planning with Large Language Models for Code Generation

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

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

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

Less is More: Summary of Long Instructions is Better for Program Synthesis

Deep Learning Based Code Generation Methods: A Literature Review

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


ARES - Automatic Routine for line Equivalent widths in stellar Spectra

ESPRESSO high-resolution transmission spectroscopy of WASP-76 b

SWEET-Cat 2.0: The Cat just got SWEETer; Higher quality spectra and precise parallaxes from GAIA eDR3

Monthly Notices of the Royal Astronomical Society - Calibrating the metallicity of M dwarfs in wide physical binaries with F-, G-, and K-primaries - I: High-resolution spectroscopy with HERMES: stellar parameters, abundances, and kinematics

The atmosphere of HD 209458b seen with ESPRESSO

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

Uncovering the true periods of the young sub-Neptunes orbiting TOI-2076

The EBLM project – VIII. First results for M-dwarf mass, radius, and effective temperature measurements using CHEOPS light curves

TOI-5678 b: A 48-day transiting Neptune-mass planet characterized with CHEOPS and HARPS

Connecting photometric and spectroscopic granulation signals with CHEOPS and ESPRESSO

TESS and CHEOPS discover two warm sub-Neptunes transiting the bright K-dwarf HD 15906


21cm code

Simulating the 21 cm signal from reionization including non-linear ionizations and inhomogeneous recombinations

Evaluating machine learning techniques for predicting power spectra from reionization simulations

Constraining the reionization history using deep learning from 21-cm tomography with the Square Kilometre Array

A short introduction to reionization physics

KERN

21 cm line signal from magnetic modes

Journal of Cosmology and Astroparticle Physics

Probing early Universe through redshifted 21-cm signal: Modeling and observational challenges

Contribution of Galactic free–free emission to the foreground for EoR signal in SKA experiments

A full treatment of peculiar velocities on the reionization light cone

Emulating radiation transport on cosmological scale using a denoising Unet


A Python Library for modeling combinatorial constrained problems

XCSP3: An Integrated Format for Benchmarking Combinatorial Constrained Problems

PyCSP3: Modeling Combinatorial Constrained Problems in Python

One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction

XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems

Proceedings of the 2022 XCSP3 Competition


Identifying Historical People, Places and other Entities: Shared Task on Named Entity Recognition and Linking on Historical Newspapers at CLEF 2020.

Named Entity Recognition and Classification in Historical Documents: A Survey

Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers

Survey on English Entity Linking on Wikidata

Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement


A curated list of awesome Active Learning

Active Learning

Synthesis lectures on artificial intelligence and machine learning

Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost

Active Semi-Supervised Learning Using Sampling Theory for Graph Signals

KDD - Ask me better questions: active learning queries based on rule induction

Active learning using on-line algorithms

Deep Reinforcement Active Learning for Medical Image Classification

Medical Image Computing and Computer-Assisted Intervention


A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation

QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation

Benchmarking Simulated and Physical Quantum Processing Units Using Quantum and Hybrid Algorithms

SoK: Benchmarking the Performance of a Quantum Computer

Hardware Architecture for a Quantum Computer Trusted Execution Environment

Quantum Circuit Reconstruction from Power Side-Channel Attacks on Quantum Computer Controllers


WorldMaker

Swift: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications

Immediate Origin of the Moon as a Post-impact Satellite

Atmospheric Erosion by Giant Impacts onto Terrestrial Planets: A Scaling Law for any Speed, Angle, Mass, and Density

The effect of pre-impact spin on the Moon-forming collision

A Recent Impact Origin of Saturn's Rings and Mid-sized Moons

Origin of Mars’s moons by disruptive partial capture of an asteroid


AI-enhanced computational chemistry

MLatom 3: A 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

Tell machine learning potentials what they are needed for:
  Simulation-oriented training exemplified for glycine


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

BuildSys@SenSys - CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning

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


Image segmentation - general superpixel segmentation & center detection & region growing

Supervised and unsupervised segmentation using superpixels, model estimation, and graph cut

Learning Continuous Implicit Representation for Near-Periodic Patterns

Region growing using superpixels with learned shape prior

Detection and Localization of Drosophila Egg Chambers in Microscopy Images


Maximum Entropy Codes

TRIQS/SOM: Implementation of the stochastic optimization method for analytic continuation

Wave functions, electronic localization, and bonding properties for correlated materials beyond the Kohn-Sham formalism

Comparing the effective enhancement of local and nonlocal spin-orbit couplings on honeycomb lattices due to strong electronic correlations

Charge disproportionation and Hund's insulating behavior in a five-orbital Hubbard model applicable to d^4 perovskites

Training biases in machine learning for the analytic continuation of quantum many-body Green's functions


A framework for Quantification written in Python

Optimizing Text Quantifiers for Multivariate Loss Functions

QuaPy: A Python-Based Framework for Quantification

Tweet sentiment quantification: An experimental re-evaluation

LeQua@CLEF2022: Learning to Quantify

Tweet Sentiment Quantification: An Experimental Re-Evaluation

Multi-Label Quantification


SmartCheck – a static analysis tool that detects vulnerabilities and bugs in Solidity programs (Ethereum-based smart contracts).

SmartCheck: Static Analysis of Ethereum Smart Contracts

Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain

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

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Smart Contract Vulnerability Detection Technique: A Survey

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Profiling Gas Consumption in Solidity Smart Contracts

TokenHook: Secure ERC-20 smart contract

VulnHunt-GPT: a Smart Contract vulnerabilities detector based on OpenAI chatGPT

VOLCANO: Detecting Vulnerabilities of Ethereum Smart Contracts Using Code Clone Analysis

MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing


Norwegian Transformer Model

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model

Large-Scale Contextualised Language Modelling for Norwegian

Occupational Biases in Norwegian and Multilingual Language Models

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

NorDial: A Preliminary Corpus of Written Norwegian Dialect Use

Training a T5 Using Lab-sized Resources

Measuring Normative and Descriptive Biases in Language Models Using Census Data


Sample Code for Gated Graph Neural Networks

Neural Message Passing for Quantum Chemistry

Modeling Relational Data with Graph Convolutional Networks

Gated Graph Sequence Neural Networks

Learning to Represent Programs with Graphs

Hyperbolic Graph Neural Networks

Generative Code Modeling with Graphs

Exploring Software Naturalness through Neural Language Models

AutoPandas: neural-backed generators for program synthesis

Proceedings of the ACM on Programming Languages

State of the Art and Potentialities of Graph-level Learning

A Comprehensive Survey on Graph Summarization with Graph Neural Networks


AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

AiTLAS: Artificial Intelligence Toolbox for Earth Observation

When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review


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


rsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB)

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data

rsHRF: A toolbox for resting-state HRF estimation and deconvolution

Distinction of High- and Low-Frequency Repetitive Transcranial Magnetic Stimulation on the Functional Reorganization of the Motor Network in Stroke Patients


PySonar2: a semantic indexer for Python with interprocedual type inference

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Scalable Demand-Driven Call Graph Generation for Python


R scripts for an indicator on long-term trends in groundwater levels in B.C. published on Environmental Reporting BC


EvoMaster Benchmark (EMB): a set of web/enterprise applications for experimentation in automated system testing

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

Testing RESTful APIs: A Survey

Resource and dependency based test case generation for RESTful Web services

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Improving Test Case Generation for REST APIs Through Hierarchical Clustering

White-Box Fuzzing RPC-Based APIs with EvoMaster: An Industrial Case Study

Fuzzing Microservices In Industry: Experience of Applying EvoMaster at Meituan

White-Box and Black-Box Fuzzing for GraphQL APIs

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs


A list of interesting genome browser or genome-browser-like implementations

Tasks, Techniques, and Tools for Genomic Data Visualization

Computer graphics forum : journal of the European Association for Computer Graphics

svist4get: a simple visualization tool for genomic tracks from sequencing experiments

RepViz: a replicate-driven R tool for visualizing genomic regions


An inductive logic programming system

Learning programs by learning from failures

Inductive logic programming at 30: a new introduction

Predicate Invention by Learning From Failures

Learning logic programs by combining programs

Learning MDL logic programs from noisy data

Learning Logic Programs by Discovering Higher-Order Abstractions

The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning
  with Kandinsky Patterns


VGP repository for the genome assembly working group

Towards complete and error-free genome assemblies of all vertebrate species

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

Telomere-to-telomere assembly of a complete human X chromosome

Semi-automated assembly of high-quality diploid human reference genomes

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Evolutionary and biomedical insights from a marmoset diploid genome assembly

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

A chromosome-level reference genome and pangenome for barn swallow population genomics

Centuries of genome instability and evolution in soft-shell clam, Mya arenaria, bivalve transmissible neoplasia


General Board Game Playing

General Board Game Playing for Education and Research in Generic AI Game Learning

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

Final Adaptation Reinforcement Learning for N-Player Games

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning


Examples of Ontop in related publications and tutorials

Efficient Handling of SPARQL OPTIONAL for OBDA (Extended Version)

Beyond OWL 2 QL in OBDA: Rewritings and Approximations

How to Stay Ontop of Your Data: Databases, Ontologies and More

SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS

OBDA Constraints for Effective Query Answering (Extended Version)

Mapping Patterns for Virtual Knowledge Graphs

Cost-Driven Ontology-Based Data Access (Extended Version)


TTK data examples

Localized Topological Simplification of Scalar Data

Topological Analysis of Ensembles of Hydrodynamic Turbulent Flows An Experimental Study

A Progressive Approach to Scalar Field Topology

IEEE transactions on visualization and computer graphics

Parallel Computation of Piecewise Linear Morse-Smale Segmentations

Fast Approximation of Persistence Diagrams with Guarantees

Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets

TTK is Getting MPI-Ready


CNCF Serverless WG

Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research

AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments

Understanding Open Source Serverless Platforms: Design Considerations and Performance

FedLess: Secure and Scalable Federated Learning Using Serverless Computing

Characterizing commodity serverless computing platforms

Kotless: a Serverless Framework for Kotlin

The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry.

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

Hybrid Computing for Interactive Datacenter Applications

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration


Bayesian optimization in high-dimensions via random embedding.

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

High Dimensional Bayesian Optimization via Supervised Dimension Reduction

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids


Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

Graph-based Molecular Representation Learning

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

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

Black Box Recursive Translations for Molecular Optimization


Recent Advances in Open Set Recognition: A Survey

IEEE transactions on pattern analysis and machine intelligence

Breaking the Closed World Assumption in Text Classification

North American Chapter of the Association for Computational Linguistics

Open-world Machine Learning: Applications, Challenges, and Opportunities

Collective Decision for Open Set Recognition (Extended Abstract)

IEEE Transactions on Knowledge and Data Engineering

Open Set Domain Adaptation using Optimal Transport


Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

Text as Neural Operator: Image Manipulation by Text Instruction

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

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation


Source code for testing the Row Hammer error mechanism in DRAM devices. Described in the ISCA 2014 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/dram-row-hammer_isca14.pdf.

Processing Data Where It Makes Sense: Enabling In-Memory Computation

RowHammer: A Retrospective

A Modern Primer on Processing in Memory

The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser

A Deeper Look into RowHammer’s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

SpyHammer: Using RowHammer to Remotely Spy on Temperature

RowHammer and Beyond

Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center


A Deep Learning Based Context-Aware Recommendation Library

Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings

DeepCARSKit: A deep learning based context-aware recommendation library

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations

User Modeling, Adaptation, and Personalization

DeepCARSKit: A Demo and User Guide


Library to simplify autograd computations in PyTorch

Deep Unlearning via Randomized Conditionally Independent Hessians

Efficient Per-Example Gradient Computations

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

TRIAGE: Characterizing and auditing training data for improved regression


Retrofitting Word Vectors to Semantic Lexicons

Improving Lexical Embeddings with Semantic Knowledge

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

Learning Word Representations with Regularization from Prior Knowledge

Conference on Computational Natural Language Learning


Face Forensics in the Wild

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Face Forensics in the Wild

Robust Deepfake On Unrestricted Media: Generation And Detection


Collection of Python scripts for parsing/analyses of RAD-seq data

Morphological stasis masks ecologically divergent coral species on tropical reefs

Phylogenomic analyses confirm a novel invasive North AmericanCorbicula(Bivalvia: Cyrenidae) lineage

Ploidy Variation and Its Implications for Reproduction and Population Dynamics in Two Sympatric Hawaiian Coral Species

Population structure and clonal prevalence of scleractinian corals (Montipora capitata and Porites compressa) in Kaneohe Bay, Oahu

Peeling back the layers of coral holobiont multi-omics data


Inria 3rd-way proposal for a European Exposure Notification System

Decentralized Privacy-Preserving Proximity Tracing

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

Hansel and Gretel and the Virus: Privacy Conscious Contact Tracing


Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Deep Learning on Graphs: A Survey

Learning What to Defer for Maximum Independent Sets

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

Adaptive solution prediction for combinatorial optimization

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


Get E(B-V) values from SFD dust map data

Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

HELP: A catalogue of 170 million objects, selected at 0.36-4.5 μm,
  from 1270 deg.^2 of prime extragalactic fields

Monthly Notices of the Royal Astronomical Society

Think Global, Act Local: The Influence of Environment Age and Host Mass on Type Ia Supernova Light Curves

Cosmological measurements from angular power spectra analysis of BOSS DR12 tomography

Serendipitous discoveries of kilonovae in the LSST main survey: maximizing detections of sub-threshold gravitational wave events

Stellar substructures in the periphery of the Magellanic Clouds with the VISTA hemisphere survey from the red clump and other tracers

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop

Random Forests as a Viable Method to Select and Discover High-redshift Quasars

A Chemo-dynamical Link between the Gjöll Stream and NGC 3201


Collection of self-supervised models for speaker and language recognition tasks.

Representation Learning with Contrastive Predictive Coding

Learning Speaker Representations with Mutual Information

Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning


PyTorch Implementation of DCGAN trained on the CelebA dataset.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

NIPS 2016 Tutorial: Generative Adversarial Networks

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Backpropagating through Fréchet Inception Distance

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning


A library for finding knowledge neurons in pretrained transformer models.

Locating and Editing Factual Associations in GPT

Knowledge Neurons in Pretrained Transformers

Editing Large Language Models: Problems, Methods, and Opportunities

Analyzing Individual Neurons in Pre-trained Language Models

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks

Neighboring Perturbations of Knowledge Editing on Large Language Models

Finding patterns in Knowledge Attribution for Transformers


Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization

International Conference on Machine Learning

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search

Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints

PMGDA: A Preference-based Multiple Gradient Descent Algorithm

Multi-Task Learning with Multi-Task Optimization


MCFlow: Monte Carlo Flow Models for Data Imputation

Semi-supervised Learning with Missing Values Imputation


Repository for the paper "Optimal Subarchitecture Extraction for BERT"

Optimal Subarchitecture Extraction For BERT

An Algorithm for Learning Smaller Representations of Models With Scarce Data

An Approximation Algorithm for Optimal Subarchitecture Extraction


Artwork containing people for academic use only

You Only Look Once: Unified, Real-Time Object Detection

Detecting People in Artwork with CNNs

The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs


SIGN: Scalable Inception Graph Network

SIGN: Scalable Inception Graph Neural Networks

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Node Dependent Local Smoothing for Scalable Graph Learning

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

IGLU: Efficient GCN Training via Lazy Updates

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach


Dream to Control: Learning Behaviors by Latent Imagination

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning


Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion

Understanding Hyperbolic Metric Learning through Hard Negative Sampling

IEEE Workshop/Winter Conference on Applications of Computer Vision


Corpus of Russian news articles collected from Lenta.Ru

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

Advances of Transformer-Based Models for News Headline Generation

Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian

International Conference on Computational Linguistics

Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines

HeadlineCause: A Dataset of News Headlines for Detecting Causalities

Sentence Embeddings for Russian NLU

Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures


A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

A critical look at the evaluation of GNNs under heterophily: are we really making progress?

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Simple and Asymmetric Graph Contrastive Learning without Augmentations

Clarify Confused Nodes Through Separated Learning


Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies

Biogeography-Based Optimization of RC structures including static soil-structure interaction

Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design


Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

On learning optimized reaction diffusion processes for effective image restoration

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

VS-Net: Variable splitting network for accelerated parallel MRI reconstruction

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

A review and experimental evaluation of deep learning methods for MRI reconstruction

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

Deep, Deep Learning with BART

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI


PyTorch implementation of Distribution Correction(DisCor) based on Soft Actor-Critic.

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

Soft Actor-Critic Algorithms and Applications

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning


A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activity.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection