Code for running analyses carried out in Stegen et al. 2013, ISME

Predominance of Cand. Patescibacteria in Groundwater Is Caused by Their Preferential Mobilization From Soils and Flourishing Under Oligotrophic Conditions

Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland

Community Assembly Mechanisms Underlying the Core and Random Bacterioplankton and Microeukaryotes in a River–Reservoir System

Local and Regional Diversity Reveals Dispersal Limitation and Drift as Drivers for Groundwater Bacterial Communities from a Fractured Granite Formation

Nitrogen enrichment suppresses other environmental drivers and homogenizes salt marsh leaf microbiome

Mycoplankton Biome Structure and Assemblage Processes Differ Along a Transect From the Elbe River Down to the River Plume and the Adjacent Marine Waters

Contrasting Community Assembly Forces Drive Microbial Structural and Potential Functional Responses to Precipitation in an Incipient Soil System

Gut bacterial communities and their assembly processing in Cnaphalocrocis medinalis from different geographic sources


Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Provably Minimally-Distorted Adversarial Examples

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Snooping Attacks on Deep Reinforcement Learning

Illusory Attacks: Detectability Matters in Adversarial Attacks on Sequential Decision-Makers


Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction


RPM-Net: Robust Point Matching Using Learned Features

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

Robust Point Cloud Registration Framework Based on Deep Graph Matching

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration


This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Bayesian Compression for Deep Learning

Weightless: Lossy Weight Encoding For Deep Neural Network Compression

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures


Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

On The Adversarial Robustness of 3D Point Cloud Classification

On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks

Predicting Choice with Set-Dependent Aggregation

Representing Unordered Data Using Complex-Weighted Multiset Automata


SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification

IEEE Transactions on Geoscience and Remote Sensing

A polarization fusion network with geometric feature embedding for SAR ship classification

Squeeze-and-Excitation Laplacian Pyramid Network With Dual-Polarization Feature Fusion for Ship Classification in SAR Images

IEEE Geoscience and Remote Sensing Letters

High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network

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


Transform data supporting the IEA Netzero2050 Roadmap (2021) to the IAMC format


XTab: Cross-table Pretraining for Tabular Transformers

Unlocking the Transferability of Tokens in Deep Models for Tabular Data


datasets from the paper "Towards Understanding Sycophancy in Language Models"

System 2 Attention (is something you might need too)

Social Evolution of Published Text and The Emergence of Artificial
  Intelligence Through Large Language Models and The Problem of Toxicity and
  Bias

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks


It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]

Generative Low-bitwidth Data Free Quantization

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression


data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20

Fairness in Recommendation: Foundations, Methods and Applications

Learning Robust Recommenders through Cross-Model Agreement

Ensuring User-side Fairness in Dynamic Recommender Systems

Label Denoising through Cross-Model Agreement


U-Net: Convolutional Networks for Biomedical Image Segmentation

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Deep Bayesian Active Learning with Image Data

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation


A benchmark for generic, large-scale shuffle operations on continuous stream of data, implemented with state-of-the-art stream processing frameworks.

ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering

A Comprehensive Benchmarking Analysis of Fault Recovery in Stream Processing Frameworks


Masked Modeling Duo: Towards a Universal Audio Pre-training Framework

FSD50K: An Open Dataset of Human-Labeled Sound Events

Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input

Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework

Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation

M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation


A nonlinear interpolating tool based on ANN

Reconstructing Functions and Estimating Parameters with Artificial Neural Networks: A Test with a Hubble Parameter and SNe Ia

The Astrophysical Journal Supplement Series

Machine Learning the Cosmic Curvature in a Model-independent Way

Monthly Notices of the Royal Astronomical Society

Neural network reconstruction of late-time cosmology and null tests

Revisiting the cosmic distance duality relation with machine learning reconstruction methods: the combination of HII galaxies and ultra-compact radio quasars

On the Robustness of the Constancy of the Supernova Absolute Magnitude: Non-parametric Reconstruction & Bayesian approaches

Intermediate-luminosity red transients: Spectrophotometric properties and connection to electron-capture supernova explosions

What are recent observations telling us in light of improved tests of distance duality relation?

Neural Network Reconstruction of H'(z) and its application in Teleparallel Gravity

Neural network reconstruction of cosmology using the Pantheon compilation

Model-independent Test for the Cosmic Distance–Duality Relation with Pantheon and eBOSS DR16 Quasar Sample


Hydrogen Infrastructure Model for the analysis of spatially resolved hydrogen infrastructure pathways


Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Neural Combinatorial Optimization with Reinforcement Learning

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Learning the travelling salesperson problem requires rethinking generalization

Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks

Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure


TTT Code Release

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Towards Stable Test-Time Adaptation in Dynamic Wild World

Do Image Classifiers Generalize Across Time?


ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

Trade-Offs Between Fairness and Privacy in Language Modeling

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing


[ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Deep Anomaly Detection with Outlier Exposure

Learning Confidence for Out-of-Distribution Detection in Neural Networks


The Cityscapes Dataset for Semantic Urban Scene Understanding

Spatial Transformer Networks

IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Seamless Scene Segmentation

A deep learning approach to identify unhealthy advertisements in street view images


an efficient method for detecting adversarial image examples

Explaining and Harnessing Adversarial Examples

Towards Evaluating the Robustness of Neural Networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing


Automated Storytelling via Causal, Commonsense Plot Ordering

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Guiding Neural Story Generation with Reader Models


Learning Text-Enhanced Urban Region Profiling with Contrastive Language-Image Pre-Training

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Region Profiling


mSimCSE: Multilingual SimCSE

SimCSE: Simple Contrastive Learning of Sentence Embeddings

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment


[ICCV 2023] DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Colorgorical: Creating discriminable and preferable color palettes for information visualization

IEEE transactions on visualization and computer graphics

Color naming models for color selection, image editing and palette design

International Conference on Human Factors in Computing Systems

Measuring the Separability of Shape, Size, and Color in Scatterplots


PyTorch implementation of "MoCoViT: Mobile Convolutional Vision Transformer"

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

GhostNet: More Features from Cheap Operations


Process periodic box of objects into mock survey.

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

Going beyond the galaxy power spectrum: An analysis of BOSS data with wavelet scattering transforms

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

Cosmic void exclusion models and their impact on the distance scale measurements from large scale structure


Sentence transformers models for SpaCy

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Referential Communication Between Friends and Strangers in the Wild

Misinformation is not about Bad Facts: An Analysis of the Production and
  Consumption of Fringe Content


Hierarchy-based Image Embeddings for Semantic Image Retrieval

Deep Learning on Small Datasets without Pre-Training using Cosine Loss

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

Workshop on Applications of Computer Vision


SSE-PT: Sequential Recommendation Via Personalized Transformer

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

Temporal Collaborative Ranking Via Personalized Transformer


Test to see how effectively D-Wave's native QUBO problem can be solved in software

Benchmarking a quantum annealing processor with the time-to-target metric

Performance of a quantum annealer on range-limited constraint satisfaction problems

Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods

On the emerging potential of quantum annealing hardware for combinatorial optimization

Evaluating Ising Processing Units with Integer Programming

Boosting quantum annealer performance via sample persistence

The potential of quantum annealing for rapid solution structure identification


Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

Visual Classification via Description from Large Language Models

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models


Simple CIFAR-10 classification with ConvMixer

Improving Deep Neural Network Random Initialization Through Neuronal Rewiring

Elephant Neural Networks: Born to Be a Continual Learner


Contains python tools for performing website fingerprinting classification as well as fetching web-pages.

Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

Proceedings on Privacy Enhancing Technologies

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

p-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning

High Precision Open-World Website Fingerprinting


Code release for ICLR 2021 paper "Generalised Multimodal ELBO"

Generalized Multimodal ELBO

Multi-modal Latent Diffusion


MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection


A Fast and Robust Strategy to Remove Variant-Level Artifacts in Alzheimer Disease Sequencing Project Data

The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

Genetic influences on circulating retinol and its relationship to human health


FusedChat is a dialogue dataset. It contains dialogue sessions fusing task-oriented dialogues and open-domain dialogues.

Fusing task-oriented and open-domain dialogues in conversational agents

System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator


Estimating Example Difficulty using Variance of Gradients

TRIAGE: Characterizing and auditing training data for improved regression

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


Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI

Prototype-based Counterfactual Explanation for Causal Classification.

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows

Causality-based Counterfactual Explanation for Classification Models


[TMI'24] Translation Consistent Semi-supervised Segmentation for 3D Medical Images

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

Medical Image Computing and Computer-Assisted Intervention

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation


This repository includes data for snap analyses of the 2018 Midterm Elections using unofficial election returns data.

Local News Online and COVID in the U.S.: Relationships among Coverage, Cases, Deaths, and Audience

NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems

Identifying the Socioeconomic, Demographic, and Political Determinants of Social Mobility and Their Effects on COVID-19 Cases and Deaths: Evidence From US Counties


FINJ is a simple tool for the injection and monitoring of faults in HPC systems, written in Python.

A machine learning approach to online fault classification in HPC systems

FINJ: A Fault Injection Tool for HPC Systems

Online Fault Classification in HPC Systems through Machine Learning


Vietnamese Punctuation Prediction using Pretrained Language Models

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

Unsupervised Cross-lingual Representation Learning at Scale

Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models

An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction


Source for paper "Attacking Binarized Neural Networks"

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Attacking Binarized Neural Networks


Codebase for An Efficient Framework for Clustered Federated Learning.

FedLab: A Flexible Federated Learning Framework

Architectural Patterns for the Design of Federated Learning Systems

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

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

Byzantine-Robust Clustered Federated Learning


MAGIC: Multi-scAle heteroGeneity analysIs and Clustering

Multi-scale semi-supervised clustering of brain images: deriving disease subtypes

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases

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


[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

Sharpness-Aware Minimization for Efficiently Improving Generalization

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

Learning Adversarially Fair and Transferable Representations

Learning Not to Learn: Training Deep Neural Networks with Biased Data

SWAD: Domain Generalization by Seeking Flat Minima

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

EnD: Entangling and Disentangling deep representations for bias correction

Conditional Learning of Fair Representations

Fairness by Learning Orthogonal Disentangled Representations


FAPE (Flexible Acting and Planning Environment) is a constraint-based planner for the ANML language.

A Constraint-based Encoding for Domain-Independent Temporal Planning

Principles and Practice of Constraint Programming

FAPE: a Constraint-based Planner for Generative and Hierarchical Temporal Planning

HDDL 2.1: Towards Defining an HTN Formalism with Time


Optimization of shared bicycle location in Wuhan city based on multi-source geospatial big data

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications


Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them

Revisiting Temporal Modeling for Video-based Person ReID

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Video Person Re-ID: Fantastic Techniques and Where to Find Them

Fine-Grained Re-Identification


My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

Distilling the Knowledge in a Neural Network

mixup: Beyond Empirical Risk Minimization

Cyclical Learning Rates for Training Neural Networks

Snapshot Ensembles: Train 1, get M for free


Code for Backdoor Attacks Against Dataset Distillation

Dataset Condensation with Gradient Matching

Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

Dataset Distillation


MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Image-to-Image Translation with Conditional Adversarial Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Predicting the Non-Deterministic Response of a Micro-Scale Mechanical Model Using Generative Adversarial Networks

Serial Decoders-Based Auto-Encoders for Image Reconstruction


Python code of Hilbert-Schmidt Independence Criterion

Causal Identification with Additive Noise Models: Quantifying the Effect of Noise

The Effect of Noise Level on Causal Identification with Additive Noise Models

The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models

Communications in computer and information science


Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents

Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis

Data-Centric Machine Learning in the Legal Domain


Transformer based Turkish language models

Impact of Tokenization on Language Models: An Analysis for Turkish

Ad Text Classification with Transformer-Based Natural Language Processing Methods

A Twitter Corpus for Named Entity Recognition in Turkish

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Auto-tagging of Short Conversational Sentences using Transformer Methods


Attentional Learning of Trash Classification

Recycling Waste Classification Using Vision Transformer on Portable Device


Diffusion model for transition state prediction

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reproducibility of "Diffusion-based Generative AI for Exploring Transition States from 2D Molecular Graphs"

Zenodo (CERN European Organization for Nuclear Research)


Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Detecting AutoAttack Perturbations in the Frequency Domain


Code and resources for evaluating cross-lingual embedding spaces

A Survey of Cross-lingual Word Embedding Models

Probing Pretrained Language Models for Lexical Semantics

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

Improving Word Translation via Two-Stage Contrastive Learning

Filtered Inner Product Projection for Crosslingual Embedding Alignment

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization

Proceedings of the 1st Workshop on Multilingual Representation Learning

On Bilingual Lexicon Induction with Large Language Models


An object-aware diffusion model for generating chemical reactions

Equivariant Diffusion for Molecule Generation in 3D

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Structure-based Drug Design with Equivariant Diffusion Models

Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model

A new perspective on building efficient and expressive 3D equivariant graph neural networks


Lightweight Iterative Gene set Enrichment in R

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

A genome-wide innateness gradient defines the functional state of human innate T cells


Kippenhahn plotter for MESA

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

Structure and evolution of a tidally heated star

Light axion emission and the formation of merging binary black holes


Creative Commons Attribution Share Alike 4.0 International

The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.

Towards End-to-End Unified Scene Text Detection and Layout Analysis

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text
  Segmentation


Using Tree-of-Thought Prompting to boost ChatGPT's reasoning

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL

Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education

IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe
  Biomedical Natural Language Inference for Clinical Trials

Large Language Models Enable Automated Formative Feedback in Human-Robot
  Interaction Tasks


Multi-faceted Video Moment Localizer

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

MAC: Mining Activity Concepts for Language-based Temporal Localization

Video Moment Localization using Object Evidence and Reverse Captioning


[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

End-to-End Learning of Compressible Features

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

Supervised Compression for Resource-Constrained Edge Computing Systems


TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequences from both TCRα and TCRβ chains from single-cell data and learn which CDRs are important in recognizing the different epitopes.

Can we predict T cell specificity with digital biology and machine learning?

IFN-α with dasatinib broadens the immune repertoire in patients with chronic-phase chronic myeloid leukemia

Immunologic Characterization and T cell Receptor Repertoires of Expanded Tumor-infiltrating Lymphocytes in Patients with Renal Cell Carcinoma

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database

bioRxiv : the preprint server for biology


Few-Shot Question Answering by Pretraining Span Selection

Simulating Bandit Learning from User Feedback for Extractive Question Answering

Pre-training Language Models with Deterministic Factual Knowledge

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


GEE App to explore the state of the world's (degraded) soils


TuRnIng POint Dataset

Movie Plot Analysis via Turning Point Identification

Screenplay Summarization Using Latent Narrative Structure

Movie Summarization via Sparse Graph Construction

Film Trailer Generation via Task Decomposition

Actionable Entities Recognition Benchmark for Interactive Fiction


Forecast the US demand for electricity


LOW-RESOURCE NEURAL MACHINE TRANSLATION: A BENCHMARK  FOR FIVE AFRICAN LANGUAGES

Improving Neural Machine Translation Models with Monolingual Data

Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

Low Resource Neural Machine Translation: A Benchmark for Five African Languages

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities


Gral calculation core


Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186


Papers and online resources related to machine learning fairness

A Survey on Bias and Fairness in Machine Learning

Certifying and removing disparate impact

Mitigating Unwanted Biases with Adversarial Learning

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

Fairness-Aware Explainable Recommendation over Knowledge Graphs

Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

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

InFoRM: Individual Fairness on Graph Mining

Fairway: A Way to Build Fair ML Software

Individual Fairness for Graph Neural Networks: A Ranking based Approach


Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Bayesian Recurrent Neural Networks

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness

Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers

Deep Deterministic Uncertainty: A Simple Baseline


Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators


An extensible C++ library for probabilistic inference in graphical models.

Lifted Marginal MAP Inference

IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees


Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

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

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

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

Latent feature reconstruction for unsupervised anomaly detection

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

IEEE transactions on neural networks and learning systems


Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC,  the decentralised micromanagement scenario of StarCraft II

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

The StarCraft Multi-Agent Challenge

MAVEN: Multi-Agent Variational Exploration

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees


Pretrained Language Models for Korean

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

A novel hybrid methodology of measuring sentence similarity

DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models


A toolkit for LAMOST spectra.

Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

The Astrophysical Journal Supplement Series

LAMOST Time-Domain survey: first results of four K2 plates

The Early-type Stars from the LAMOST Survey: Atmospheric Parameters

Exploring the Stellar Rotation of Early-type Stars in the LAMOST Medium-resolution Survey. I. Catalog

Identification of New Classical Be Stars from the LAMOST Medium Resolution Survey

Discovery of 2716 hot emission-line stars from LAMOST DR5

hypergravity/laspec: A toolkit for LAMOST spectra.


Automatic earthquake catalog building workflow: EQTransformer + Siamese EQTransformer + PickNet + REAL + HypoInverse

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Rapid Earthquake Association and Location

Deep Learning for Picking Seismic Arrival Times

Journal of Geophysical Research: Solid Earth

Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array

Building Precise Local Submarine Earthquake Catalogs via a Deep-Learning-Empowered Workflow and its Application to the Challenger Deep


This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.

Lipschitz Generative Adversarial Nets

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs


The re-implementation of Smooth Grad-CAM++ with pytorch

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models


The solution for the DeeperForensics Challenge 2020

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Robust Deepfake On Unrestricted Media: Generation And Detection

DeepFakes Detection: the DeeperForensicsDeeperForensics Dataset and Challenge

Handbook of Digital Face Manipulation and Detection


ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering


Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Attention Is All You Need

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

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection


Fastened CROWN: Tightened Neural Network Robustness Certificates

Efficient Neural Network Robustness Certification with General Activation Functions

CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks

POPQORN: Quantifying Robustness of Recurrent Neural Networks


Code for the paper 'Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms', ECIR'18

Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

The Use of a Large Language Model for Cyberbullying Detection

Generalisation of Cyberbullying Detection


Combining Evolutionary Algorithms and deep RL in  various ways

Evolution-Guided Policy Gradient in Reinforcement Learning

CEM-RL: Combining evolutionary and gradient-based methods for policy search

Population-Guided Parallel Policy Search for Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies

Cooperative Heterogeneous Deep Reinforcement Learning


A python module for word inflections designed for use with spaCy.

Gender-Inclusive Grammatical Error Correction through Augmentation

SimpLex: a lexical text simplification architecture

Automated Generation of Multiple-Choice Cloze Questions for Assessing
  English Vocabulary Using GPT-turbo 3.5


Folklore facts on probability distribution learning, testing, and whatever-ing

The Structure of Optimal Private Tests for Simple Hypotheses

A short note on learning discrete distributions

Deconstructing the Blockchain to Approach Physical Limits

List Decoding Random Euclidean Codes and Infinite Constellations

Contraction of Locally Differentially Private Mechanisms

Exploring the Gap between Tolerant and Non-tolerant Distribution Testing

Asymptotic Bounds on the Combinatorial Diameter of Random Polytopes

Security of Nakamoto Consensus under Congestion


Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples

Teach me how to Interpolate a Myriad of Embeddings


Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

EBF: A Hybrid Verification Tool for Finding Software Vulnerabilities in IoT Cryptographic Protocols.


C program for selecting DNA substitution models using PAUP*

Páramo is the world's fastest evolving and coolest biodiversity hotspot

Phylogenetic analyses of Begonia sect. Coelocentrum and allied limestone species of China shed light on the evolution of Sino-Vietnamese karst flora

A new generic system for the pantropical Caesalpinia group (Leguminosae)

Discovery from a large-scaled survey of Trichoderma in soil of China

Biogeography and taxonomy of extinct and endangered monk seals illuminated by ancient DNA and skull morphology

Phylogeographic Patterns in Africa and High Resolution Delineation of Genetic Clades in the Lion (Panthera leo)

Seven wood-inhabiting new species of the genus Trichoderma (Fungi, Ascomycota) in Viride clade

A new species of Trichoderma hypoxylon harbours abundant secondary metabolites

The widespread biting midge Culicoides impunctatus (Ceratopogonidae) is susceptible to infection with numerous Haemoproteus (Haemoproteidae) species

Population structure of Escherichia coli O26: H11 with recent and repeated stx2 acquisition in multiple lineages


The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Matching Networks for One Shot Learning

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering


Torch code for using Residual Networks with LSTMs for Lipreading

Combining Residual Networks with LSTMs for Lipreading

End-to-end Audiovisual Speech Recognition

Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs

Deep word embeddings for visual speech recognition


Learning to Rank in Generative Retrieval

Multiview Identifiers Enhanced Generative Retrieval

Distillation Enhanced Generative Retrieval


Unsupervised clustering method for stellar clusters.

pyUPMASK: an improved unsupervised clustering algorithm

An analysis of the most distant cataloged open clusters

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


ROS-Industrial KUKA support (http://wiki.ros.org/kuka)

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

High Precision Real Time Collision Detection

DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control


Time Series Analysis Models Source Code with Deep Learning Algorithms

Temporal Cross-Effects in Knowledge Tracing

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

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

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

AutoAI-TS: AutoAI for Time Series Forecasting

Learning Dynamic Embeddings for Temporal Knowledge Graphs

Real-time Data Infrastructure at Uber

FeatTS: Feature-based Time Series Clustering

TSExplain: Surfacing Evolving Explanations for Time Series

Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network


Compressive Transformers for Long-Range Sequence Modelling

∞-former: Infinite Memory Transformer

BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack

CAMELoT: Towards Large Language Models with Training-Free Consolidated
  Associative Memory


Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Graph Structure Learning for Robust Graph Neural Networks

Graph Self-Supervised Learning: A Survey

Label-Wise Graph Convolutional Network for Heterophilic Graphs


Classical shadows codes for quantum simulations of fermions and qubits, with error-mitigation routines for systems with symmetries

Predicting many properties of a quantum system from very few measurements

Group-theoretic error mitigation enabled by classical shadows and symmetries

Learning, Optimizing, and Simulating Fermions with Quantum Computers


End-to-end RNA Design using deep reinforcement learning

Proximal Policy Optimization Algorithms

Learning to Design RNA

Fourier Representations for Black-Box Optimization over Categorical Variables


A collection of matlab functions for experimenting with different point sets on the sphere

Mesh-free semi-Lagrangian methods for transport on a sphere using radial basis functions

RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for solving PDEs on surfaces

A Partition of Unity Method for Divergence-Free or Curl-Free Radial Basis Function Approximation

A Comparison of Popular Point Configurations on ��^2

A stable algorithm for divergence-free radial basis functions in the flat limit

Tuning Frequency Bias in Neural Network Training with Nonuniform Data

A Divergence-free and Curl-free Radial Basis Function Partition of Unity Method.


A comprehensive list of published machine learning applications to cosmology

Applications and Techniques for Fast Machine Learning in Science

The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence

The CAMELS project: public data release

Nonlinear 3D cosmic web simulation with heavy-tailed generative adversarial networks

Galaxies and haloes on graph neural networks: Deep generative modelling scalar and vector quantities for intrinsic alignment

georgestein/ml-in-cosmology: Machine learning in cosmology

Deconfusing intensity maps with neural networks

A convolutional-neural-network estimator of CMB constraints on dark matter energy injection

Journal of Cosmology and Astroparticle Physics


Provably Efficient Maximum Entropy Exploration

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

A Policy Gradient Method for Task-Agnostic Exploration


[EMNLP 2022] Summarization as Indirect Supervision for Relation Extraction (SuRE)

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors


大创项目，层级注意力机器翻译

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Convolutional Sequence to Sequence Learning

Document-Level Neural Machine Translation with Hierarchical Attention Networks


BayesVL package for Bayesian statistical analyses in R

Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research

On how religions could accidentally incite lies and violence: folktales as a cultural transmitter

Bayesian analysis for social data: A step-by-step protocol and interpretation

Exploration of Youth’s Digital Competencies: A Dataset in the Educational Context of Vietnam

International Conference on Data Technologies and Applications

Determinants of Vietnamese footwear exporting firms’ market selection: A multinomial logistic analysis of panel data

When the Poor Buy the Rich: New Evidence on Wealth Effects of Cross-Border Acquisitions


The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-quality relation embedding based on language models.

Language Models are Few-Shot Learners

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

RelBERT: Embedding Relations with Language Models


A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Understanding deep learning (still) requires rethinking generalization

BLOCKBENCH: A Framework for Analyzing Private Blockchains

A similarity measure for indefinite rankings

ACM transactions on office information systems

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Does Learning Require Memorization? A Short Tale about a Long Tail

The U.S. Census Bureau Adopts Differential Privacy

Privacy-preserving statistical estimation with optimal convergence rates

Information Leakage in Embedding Models

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Controlling Fairness and Bias in Dynamic Learning-to-Rank

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


A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task

Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures


Lexical Data of Ge'ez Languages

Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets

Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic

ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities


PointPillars for KITTI object detection

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

Robust Multi-Modality Multi-Object Tracking

What You See is What You Get: Exploiting Visibility for 3D Object Detection

MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion

Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level

IEEE Transactions on Intelligent Vehicles

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks


Model-agnostic posthoc calibration without distributional assumptions

On Calibration of Modern Neural Networks

Distribution-free binary classification: prediction sets, confidence intervals and calibration

Distribution-free calibration guarantees for histogram binning without sample splitting

Top-label calibration and multiclass-to-binary reductions

Online Platt Scaling with Calibeating


DOCK 6: Impact of new features and current docking performance

Fast, accurate, and reliable molecular docking with QuickVina 2

Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration

PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking

Journal of bioinformatics and computational biology

GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking

FWAVina: A novel optimization algorithm for protein-ligand docking based on the fireworks algorithm


An R package to detect collective spatio-temporal phenomena

Propagating Wave of ERK Activation Orients Collective Cell Migration.

ERK-mediated mechanochemical waves direct collective cell polarization

Control of osteoblast regeneration by a train of Erk activity waves

Collective ERK/Akt activity waves orchestrate epithelial homeostasis by driving apoptosis-induced survival

Calcium Wave Promotes Cell Extrusion

MAPK activity dynamics regulate non-cell autonomous effects of oncogene expression

Spatio-temporal Control of ERK Pulse Frequency Coordinates Fate Decisions during Mammary Acinar Morphogenesis


Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Distributionally Adaptive Meta Reinforcement Learning

Rethinking Transformers in Solving POMDPs


An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.


On-Device ID Card & Passport & Driver License Recognition SDK for Android

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network

Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents

Journal on Computing and Cultural Heritage

Data Generation for Post-OCR correction of Cyrillic handwriting


Creative Commons Attribution 4.0 International

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Language Models are Multilingual Chain-of-Thought Reasoners

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation


Evaluation Measures for the BioASQ project

BioMegatron: Larger Biomedical Domain Language Model

Sequence tagging for biomedical extractive question answering

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.

Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic

Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction


Creating Regression Models Of Building Emissions On Google Cloud


A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision

NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric


R-Drop: Regularized Dropout for Neural Networks

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

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

Proceedings of the Eighth Conference on Machine Translation

Randomness Regularization With Simple Consistency Training for Neural Networks

IEEE transactions on pattern analysis and machine intelligence

BIT-Xiaomi’s System for AutoSimTrans 2022

Proceedings of the Third Workshop on Automatic Simultaneous Translation


This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis.

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks


Arabic nested named entity recognition

Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT

Arabic Fine-Grained Entity Recognition

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

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


script necessary for aligning surfaces (derived from the dHCP structural pipeline) to the dHCP surface template space

Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth


Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Trial and Error: Exploration-Based Trajectory Optimization for LLM
  Agents

Agent Planning with World Knowledge Model


TPAMI 2024 - Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning


Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm

The Forward-Forward Algorithm: Some Preliminary Investigations

Training Convolutional Neural Networks with the Forward-Forward algorithm

Going Forward-Forward in Distributed Deep Learning

Lightweight Inference for Forward-Forward Algorithm

Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms


A library of ultrasoft and PAW pseudopotentials

Quasi-harmonic temperature dependent elastic constants: applications to silicon, aluminum, and silver

Journal of physics. Condensed matter : an Institute of Physics journal

Thermal conductance of metallic atomic-size contacts: Phonon transport and Wiedemann-Franz law

Quasi-harmonic thermoelasticity of palladium, platinum, copper, and gold from first principles

Temperature dependent elastic constants and thermodynamic properties of BAs: An ab initio investigation

Li_xCoO_2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories

Spin-symmetry broken ground-state of UO2 in DFT+U approach: the SMC method

A first-principles method to calculate fourth-order elastic constants of solid materials

Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2

DFT+U study of UO_2: Correct lattice parameter and electronic band-gap

Self-consistent on-site and inter-site Hubbard parameters within DFT+U+V for UO_2 using density-functional perturbation theory


An adaptive algorithm for anomaly and novelty detection in evolving data streams

Neural Network Retraining for Model Serving

Standardized Evaluation of Machine Learning Methods for Evolving Data Streams


This is the repository for the JuSpace toolbox allowing for cross-modal correlations between imaging data and positron emission tomography derived information

JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

Mapping dopaminergic projections in the human brain with resting-state fMRI

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Integrative Functional, Molecular, and Transcriptomic Analyses of Altered Intrinsic Timescale Gradient in Depression

Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity

The origins of evil: From lesions to the functional architecture of the antisocial brain

Resting-state alterations in behavioral variant frontotemporal dementia are related to the distribution of monoamine and GABA neurotransmitter systems

Fractional amplitude of low-frequency fluctuations associated with μ-opioid and dopamine receptor distributions in the central nervous system after high-intensity exercise bouts

Compressed primary‐to‐transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder

Molecular mechanisms underlying resting-state brain functional correlates of behavioral inhibition


TensorFlow Tutorials with YouTube Videos

On The Power of Curriculum Learning in Training Deep Networks

LensFlow: A Convolutional Neural Network in Search of Strong Gravitational Lenses

Hybrid Data-Driven Deep Learning Framework for Material Mechanical Properties Prediction with the Focus on Dual-Phase Steel Microstructures

An encoder-decoder based grapheme-to-phoneme converter for Bangla speech synthesis

Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi


Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.


Official implementation of "Path Planning using Neural A* Search" (ICML-21)

Differentiation of Blackbox Combinatorial Solvers

Gated Path Planning Networks

Path Planning using Neural A* Search

[Reproducibility Report] Path Planning using Neural A* Search


satMiner: A Toolkit to NGS satellite DNA mining and analysis

Analysis in Proceratophrys boiei genome illuminates the satellite DNA content in a frog from the Brazilian Atlantic forest

Genomic Differences Between the Sexes in a Fish Species Seen Through Satellite DNAs

The Satellite DNA Catalogues of Two Serrasalmidae (Teleostei, Characiformes): Conservation of General satDNA Features over 30 Million Years

Cytogenetics Meets Genomics: Cytotaxonomy and Genomic Relationships among Color Variants of the Asian Arowana Scleropages formosus

International journal of molecular sciences

Tandem Repeat DNA Provides Many Cytological Markers for Hybrid Zone Analysis in Two Subspecies of the Grasshopper Chorthippus parallelus


This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Modeling Relational Data with Graph Convolutional Networks

Learning to Generate Questions by Learning What not to Generate

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Graph Structural-topic Neural Network

Graph Attention Topic Modeling Network

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

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

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

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


an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Self-supervised Light Field View Synthesis Using Cycle Consistency


iDeep: integrated prediction of RNA-protein binding sites using deep learning

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications


Lee-Huang-Yang effects in the ultracold mixture of Na 23 and Rb 87 with attractive interspecies interactions

Observation of Efimov Universality across a Nonuniversal Feshbach Resonance in ^{39}K.

Preparation of one 87Rb and one 133Cs atom in a single optical tweezer

Magnetic Feshbach resonances in ultracold collisions between Cs and Yb atoms

Characterizing quasibound states and scattering resonances

Interaction Potential for NaCs for Ultracold Scattering and Spectroscopy

An association sequence suitable for producing ground-state RbCs molecules in optical lattices

Feshbach spectroscopy of Cs atom pairs in optical tweezers

Feshbach resonances in an ultracold
Li7−133Cs
 Bose-Bose mixture

User Manual for MOLSCAT, BOUND and FIELD, Version 2020.0: programs for quantum scattering properties and bound states of interacting pairs of atoms and molecules


Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

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

Bioinformatics and biomedical informatics with ChatGPT: Year one review

Large Language Models are In-Context Molecule Learners


Tools for fitting transiting exoplanet lightcurves and radial velocities

HD 2685 b: A hot Jupiter orbiting an early F-type star detected by TESS

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

DISCOVERY AND VALIDATION OF A HIGH-DENSITY SUB-NEPTUNE FROM THE K2 MISSION

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

Monthly Notices of the Royal Astronomical Society

A hot Saturn on an eccentric orbit around the giant star K2-132

An Independent Discovery of Two Hot Jupiters from the K2 Mission

Publications of the Astronomical Society of the Pacific

The architecture and formation of the Kepler-30 planetary system

The Next Generation Transit Survey - Prototyping Phase

K2-113: a dense hot Jupiter transiting a solar analogue


A Fast and Accurate Vietnamese Word Segmenter (LREC 2018)

From Word Segmentation to POS Tagging for Vietnamese

A Feature-Rich Vietnamese Named-Entity Recognition Model

Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture


Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling


A Continual Multi-agent RL testbed based on Hanabi

On Tiny Episodic Memories in Continual Learning

Understanding the Role of Training Regimes in Continual Learning

Continuous Coordination As a Realistic Scenario for Lifelong Learning


Identity Mappings in Deep Residual Networks

EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures


HLA-I ligand predictor

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

Computational cancer neoantigen prediction: current status and recent advances

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

Implications of Antigen Selection on T Cell-Based Immunotherapy

Unraveling tumor specific neoantigen immunogenicity prediction: a comprehensive analysis


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

Making Pre-trained Language Models Better Few-shot Learners

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

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

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

Rethinking Semi-supervised Learning with Language Models

Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis


GDSC Single Molecule Light Microscopy ImageJ Plugins

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

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

Performance Boost of Organic Light‐Emitting Diodes with Plasmonic Nanostars

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

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

GDSC SMLM: Single-molecule localisation microscopy software for ImageJ


Amons-based quantum machine learning for quantum chemistry

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

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

Ab initio machine learning in chemical compound space

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

Journal of chemical theory and computation

Towards DMC accuracy across chemical space with scalable Δ-QML

Dictionary of 140k GDB and ZINC derived AMONs


ROSE: RANK ORDERING OF SUPER-ENHANCERS

Multiscale 3D genome reorganization during skeletal muscle stem cell lineage progression and aging

LncRNA Platr22 promotes super-enhancer activity and stem cell pluripotency

Aberrant non-canonical NF-κB signalling reprograms the epigenome landscape to drive oncogenic transcriptomes in multiple myeloma

SEGCOND predicts putative transcriptional condensate-associated genomic regions by integrating multi-omics data


CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)

Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

Visual Causal Scene Refinement for Video Question Answering

Cross-Modal Causal Intervention for Medical Report Generation

Multimodal Embodied Interactive Agent for Cafe Scene


Unsupervised Neural Machine Translation from West African Pidgin (Creole) to English without a single parallel sentence

Unsupervised Machine Translation Using Monolingual Corpora Only

Phrase-Based & Neural Unsupervised Machine Translation

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English

Cheetah: Natural Language Generation for 517 African Languages


Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Graph Rationalization with Environment-based Augmentations

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

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Learning Invariant Molecular Representation in Latent Discrete Space


a tracker based on reliable patches

An Experimental Survey on Correlation Filter-based Tracking

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

International journal of computer vision

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends


Overcooked human-AI experiment platform

Collaborating with Humans without Human Data

Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners


SemEval-2021 Task 8: MeasEval data and other bits

SemEval-2021 Task 8: MeasEval – Extracting Counts and Measurements and their Related Contexts

Meeting of the Association for Computational Linguistics

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022

impact of sample selection on in-context learning for entity extraction from scientific writing

Findings of the Association for Computational Linguistics: EMNLP 2023

KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations

Mining experimental data from Materials Science literature with Large Language Models

What's in a Measurement? Using GPT-3 on SemEval 2021 Task 8 -- MeasEval


Calculation of the Percentage of Conserved Proteins following Qin, Xie et al. 2014 but using DIAMOND instead of BLASTP for alignments.

Transfer of Erwinia toletana and Erwinia iniecta to a novel genus Winslowiella gen. nov. as Winslowiella toletana comb. nov. and Winslowiella iniecta comb. nov. and description of Winslowiella arboricola sp. nov., isolated from bleeding cankers on broadleaf hosts

Dynamic Development of Viral and Bacterial Diversity during Grass Silage Preservation

POCP-nf: an automatic Nextflow pipeline for calculating the percentage of conserved proteins in bacterial taxonomy

Paraphocaeicola brunensis gen. nov., sp. nov., Carrying Two Variants of nimB Resistance Gene from Bacteroides fragilis, and Caecibacteroides pullorum gen. nov., sp. nov., Two Novel Genera Isolated from Chicken Caeca.

Miniphocaeibacter halophilus sp. nov., an ammonium-tolerant acetate-producing bacterium isolated from a biogas system

International journal of systematic and evolutionary microbiology


This repository contains examples of Flush+Flush cache attacks

WHISPER: A Tool for Run-Time Detection of Side-Channel Attacks

A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks

RT-Sniper: A Low-Overhead Defense Mechanism Pinpointing Cache Side-Channel Attacks


Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

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

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

Convolutional Gated Recurrent Units for Medical Relation Classification


plots things that are not boxplots

A role for the cortex in sleep-wake regulation

Confidence Predictions Affect Performance Confidence and Neural Preparation in Perceptual Decision Making.

Longitudinal functional brain network reconfiguration in healthy aging

Anterior cingulate cortex differently modulates fronto-parietal functional connectivity between resting-state and working memory tasks

XLF acts as a flexible connector during non-homologous end joining

Estimations of the weather effects on brain functions using functional MRI: A cautionary note

Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function

A genetically defined tecto-thalamic pathway drives a system of superior-colliculus-dependent visual cortices

Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence

Semi-variance optimization for the components of the Dow Jones Industrial Average index


Evaluating LLMs with CommonGen-Lite

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

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


Code for "Neural causal learning from unknown interventions"

Learning Neural Causal Models from Unknown Interventions

Learning Neural Causal Models with Active Interventions

On the Generalization and Adaption Performance of Causal Models


한국어 개체명 정의 및 표지 표준화 기술보고서와 이를 기반으로 제작된 개체명 형태소 말뭉치

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

KLUE: Korean Language Understanding Evaluation

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

A Survey on Awesome Korean NLP Datasets

Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition

Proceedings of the 1st Workshop on Multilingual Representation Learning


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

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

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

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

Arms Race in Adversarial Malware Detection: A Survey

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

Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning

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

AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning

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

Evading API Call Sequence Based Malware Classifiers

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

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

A survey on practical adversarial examples for malware classifiers

Reversing and Offensive-oriented Trends Symposium


1D synchrosqueezed wave packet transforms (SSWPT):    Analyzing instantaneous properties (instantaneous frequencies, phases and amplitudes) of non-linear oscillatory signals in a superposition. 2D synchrosqueezed curvelet transform (SSCT):     Anlayzing local properties of non-linear oscillatory textures in a superposition.

Robustness Analysis of Synchrosqueezed Transforms

Recursive Diffeomorphism-Based Regression for Shape Functions

Multiresolution mode decomposition for adaptive time series analysis

A Fast Algorithm for Multiresolution Mode Decomposition


Sample scripts for the Bosch Small Traffic Lights Dataset

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection

A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

Prescriptive and Descriptive Approaches to Machine-Learning Transparency

EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022

Small, but important: Traffic light proposals for detecting small traffic lights and beyond


Remote Sensing Tools for Forest Monitoring

Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach


Automatic Dialect Detection Repository

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Automatic Dialect Detection in Arabic Broadcast Speech

Speech Recognition Challenge in the Wild: Arabic MGB-3

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

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


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

Attention Is All You Need

Effective Approaches to Attention-based Neural Machine Translation

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

Minimum Risk Training for Neural Machine Translation

Dual Supervised Learning

Dual Supervised Learning for Natural Language Understanding and Generation


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

Named Entity Recognition in Indian court judgments

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

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

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


Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion

Faster Learned Sparse Retrieval with Guided Traversal

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

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

On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval


Quasi-Newton algorithm for joint-diagonalization

Beyond Pham's algorithm for joint diagonalization

Joint Approximate Diagonalization under Orthogonality Constraints

A randomized algorithm for simultaneously diagonalizing symmetric
  matrices by congruence


SoftMC is an experimental FPGA-based memory controller design that can be used to develop tests for DDR3 SODIMMs using a C++ based API. The design, the interface, and its capabilities and limitations are discussed in our HPCA 2017 paper: "SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies" <https://people.inf.ethz.ch/omutlu/pub/softMC_hpca17.pdf>

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

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

RowHammer: A Retrospective

TRRespass: Exploiting the Many Sides of Target Row Refresh

A Modern Primer on Processing in Memory

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

What Your DRAM Power Models Are Not Telling You

EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

Are We Susceptible to Rowhammer? An End-to-End Methodology for Cloud Providers


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

A survey of historical document image datasets

Digital Peter: Dataset, Competition and Handwriting Recognition Methods

Handwritten text generation and strikethrough characters augmentation


"Independent Component Analysis of BIg Omics Data"

Transcriptional Programs Define Intratumoral Heterogeneity of Ewing Sarcoma at Single-Cell Resolution

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

International journal of molecular sciences

Determining the optimal number of independent components for reproducible transcriptomic data analysis

Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution

Assessing reproducibility of matrix factorization methods in independent transcriptomes

Neural signatures of data-driven psychopathology dimensions at the transition to adolescence

European psychiatry : the journal of the Association of European Psychiatrists

Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis


a python interface to JPL HORIZONS ephemerides and orbital elements

PHOTOMETRYPIPELINE: An automated pipeline for calibrated photometry

Characterization of Near-Earth Asteroids Using KMTNET-SAAO

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

The Astrophysical Journal Supplement Series

Space Weathering within C-complex Main Belt Asteroid Families


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

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

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


This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition


Evaluation of Finnish generative models

FinGPT: Large Generative Models for a Small Language

Poro 34B and the Blessing of Multilinguality

Aurora-M: The First Open Source Multilingual Language Model Red-teamed
  according to the U.S. Executive Order


This contains the dataset for comparing scRNA-seq analysis methods

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

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

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


This is a repository for organizing codes related to re-identification (especially state-of-the-art reid methods).

Person Re-identification by Deep Learning Attribute-Complementary Information

Human Parsing Based Alignment With Multi-Task Learning For Occluded Person Re-Identification

International Conference on Multimedia and Expo

Fast Person Search Pipeline

Proxy Task Learning For Cross-Domain Person Re-Identification


A Python library to parse MediaWiki WikiText

MultiModalQA: Complex Question Answering over Text, Tables and Images

ReasonBERT: Pre-trained to Reason with Distant Supervision

Entity Extraction from Wikipedia List Pages

Information Extraction From Co-Occurring Similar Entities

The role of online attention in the supply of disinformation in Wikipedia

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data
  Sources with Retrieval and Semantic Parsing


Point Spread Function reconstruction

Opening the era of quasar host studies at high redshift with JWST

Detecting low-mass perturbers in cluster lenses using curved arc bases


Quality Control of Next Generation Sequencing Data

Rapid evaluation and quality control of next generation sequencing data with FaQCs

Multiple Cases of Bacterial Sequence Erroneously Incorporated Into Publicly Available Chloroplast Genomes

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada


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

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

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

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

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

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


Deep relational learning through differentiable logic programming.

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Lifted Relational Neural Networks

Beyond Graph Neural Networks with Lifted Relational Neural Networks

Learning Predictive Categories Using Lifted Relational Neural Networks

Lossless Compression of Structured Convolutional Models via Lifting

Stacked Structure Learning for Lifted Relational Neural Networks

Learning with Molecules beyond Graph Neural Networks


Just a Microbiology System (JAMS) - a suite for analyzing microbiological sequencing data for use on NIH HPC systems (Biowulf)

Conventional Co-Housing Modulates Murine Gut Microbiota and Hematopoietic Gene Expression

Association between microbial composition, diversity, and function of the maternal gastrointestinal microbiome with impaired glucose tolerance on the glucose challenge test

Metagenomic characterization of the maternal prenatal gastrointestinal microbiome by pregravid BMI


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

Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling


C++/CUDA GPU pulsar searching library

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

Monthly Notices of the Royal Astronomical Society

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

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

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

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

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

A Framework for Assessing the Performance of Pulsar Search Pipelines

The MPIfR–MeerKAT Galactic Plane Survey – I. System set-up and early results

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

A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data


NIMH Macaque Template

A synergistic core for human brain evolution and cognition

A comprehensive macaque fMRI pipeline and hierarchical atlas

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

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

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

Body map proto-organization in newborn macaques

An open resource for nonhuman primate imaging

Systematic cortical thickness and curvature patterns in primates

The representation of time windows in primate auditory cortex


Tools for OPM processing using SPM

Optically pumped magnetometers: From quantum origins to multi-channel magnetoencephalography

Magnetic Field Mapping and Correction for Moving OP-MEG

Spherical harmonic based noise rejection and neuronal sampling with multi-axis OPMs

Modelling optically pumped magnetometer interference as a mean (magnetic) field


Scripts to evaluate scoped meaning representations

Evaluating Scoped Meaning Representations

The First Shared Task on Discourse Representation Structure Parsing

Proceedings of the IWCS Shared Task on Semantic Parsing

Semantic Graph Parsing with Recurrent Neural Network DAG Grammars

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

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics


Combining deep learning and reinforcement learning.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Soft Actor-Critic Algorithms and Applications


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

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

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

Adaptive-Aggressive Traders Don't Dominate

DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations

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

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

Parameterised-Response Zero-Intelligence Traders

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

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

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


A collection of tools for Hi-C data analysis

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

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

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

De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds

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

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

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

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

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

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


Scripting analyses of genomes in Ensembl Plants

Scripting Analyses of Genomes in Ensembl Plants

K-mer counting and curated libraries drive efficient annotation of repeats in plant genomes

GET_PANGENES: calling pangenes from plant genome alignments confirms presence-absence variation

Efficient masking of plant genomes by combining kmer counting and curated repeats


TChem - A Software Toolkit for the Analysis of Complex Kinetic Models

Computer-Generated Kinetics for Coupled Heterogeneous/Homogeneous Systems: A Case Study in Catalytic Combustion of Methane on Platinum

Industrial & Engineering Chemistry Research

TChem: A performance portable parallel software toolkit for complex kinetic mechanisms

Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians


ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

Tracking the transition to agriculture in Southern Europe through ancient DNA analysis of dental calculus

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

Human and Porcine Transmission of Clostridioides difficile Ribotype 078, Europe

Increase in antioxidant capacity associated with the successful subclone of hypervirulent carbapenem-resistant Klebsiella pneumoniae ST11-KL64

Emergence and Genomic Characterization of the First Reported optrA-Carrying Linezolid-Resistant Enterococci Isolated from Retail Broiler Meat in the United Arab Emirates


MeteoInfo: GIS, scientific computation and visualization environment.


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

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

An Empirical Study of Rich Subgroup Fairness for Machine Learning

Ensuring Fairness Beyond the Training Data

Genetic programming approaches to learning fair classifiers

Genetic and Evolutionary Computation Conference

Locating disparities in machine learning

Auditing Predictive Models for Intersectional Biases

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


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

A cortical shape-adaptive approach to local gyrification index

Hierarchical spherical deformation for cortical surface registration

TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction

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

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

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

Medical Image Computing and Computer-Assisted Intervention

Hierarchical Spherical Deformation for Shape Correspondence


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


SPECTRE: Short packet communication toolbox

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

Wiretap Channels: Nonasymptotic Fundamental Limits

Finite-Blocklength Bounds for Wiretap Channels

Optimum Power Control at Finite Blocklength

Coherent multiple-antenna block-fading channels at finite blocklength

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

On Systematic Polarization-Adjusted Convolutional (PAC) Codes

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

Towards Massive, Ultra-Reliable, and Low-Latency Wireless Communication with Short Packets

Interleaved Polar (I-Polar) Codes


A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Revisiting Deep Learning Models for Tabular Data

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training


A research protocol for deep graph matching.

SuperGlue: Learning Feature Matching with Graph Neural Networks

Learning Combinatorial Embedding Networks for Deep Graph Matching

International Conference on Computer Vision

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach

IEEE transactions on pattern analysis and machine intelligence

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding

Joint Graph Learning and Matching for Semantic Feature Correspondence

Graph Matching with Bi-level Noisy Correspondence

Equivariant Hypergraph Neural Networks

Deep Learning of Partial Graph Matching via Differentiable Top-K


marker-based purification of cell types from single-cell RNA-seq datasets

scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets

Cancer cell plasticity and MHC-II–mediated immune tolerance promote breast cancer metastasis to lymph nodes

Transcriptome network analysis implicates CX3CR1-positive type 3 dendritic cells in non-infectious uveitis


A package for Gaussian random field generation in Julia

Sparse Cholesky factorization by Kullback-Leibler minimization

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

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


Tools to build deep learning pipelines.

Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning

Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma

Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv : the preprint server for health sciences

Direct image to subtype prediction for brain tumors using deep learning


Real-time face swap for PC streaming or video calls

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

Deepfake CAPTCHA: A Method for Preventing Fake Calls

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

Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection

Discussion Paper: The Threat of Real Time Deepfakes


Provide mapping and localization pipelines based on kapture format

Robust Image Retrieval-based Visual Localization using Kapture

Benchmarking Image Retrieval for Visual Localization

Learning Super-Features for Image Retrieval

Investigating the Role of Image Retrieval for Visual Localization

International Journal of Computer Vision

A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation


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


Differential expression of RNA-seq data using the Negative Binomial

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

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

The role of metadata in reproducible computational research

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

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

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

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

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

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

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


Tensor-reduced atomic density representations

A Gaussian Approximation Potential for Amorphous Si:H

Hydrogen-induced degradation dynamics in silicon heterojunction solar cells via machine learning