Supplementary material for "When and Why Are Pre-trained Word Embeddings Useful for Neural Machine Translation?" at NAACL 2018

Beyond English-Centric Multilingual Machine Translation

When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

Multilingual Neural Machine Translation with Knowledge Distillation

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

Unsupervised Pivot Translation for Distant Languages

Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation

A Study of Multilingual Neural Machine Translation

Language Graph Distillation for Low-Resource Machine Translation

Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?


The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding


My (small) research project in solubility of drug-like molecules

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

Journal of chemical information and modeling

Is Experimental Data Quality the Limiting Factor in Predicting the Aqueous Solubility of Druglike Molecules?

Can human experts predict solubility better than computers?

Binary Classification of Aqueous Solubility Using Support Vector Machines with Reduction and Recombination Feature Selection

Findings of the Second Challenge to Predict Aqueous Solubility

Solubility Challenge Revisited after Ten Years, with Multilab Shake-Flask Data, Using Tight (SD ∼ 0.17 log) and Loose (SD ∼ 0.62 log) Test Sets


Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).

Towards Deep Learning Models Resistant to Adversarial Attacks

Overfitting in adversarially robust deep learning

Reliable Adversarial Distillation with Unreliable Teachers

LTD: Low Temperature Distillation for Robust Adversarial Training


Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law

Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law

Gradient is All You Need?


SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

FreezeNet: Full Performance by Reduced Storage Costs

COPS: Controlled Pruning Before Training Starts


Pulsar searching with the Fast Folding Algorithm (FFA)

Possible periodic activity in the repeating FRB 121102

Monthly Notices of the Royal Astronomical Society

Optimal periodicity searching: revisiting the fast folding algorithm for large-scale pulsar surveys

Burst properties of the highly active FRB20201124A using uGMRT

Monthly notices of the Royal Astronomical Society

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

FAST early pulsar discoveries: Effelsberg follow-up

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

Pushchino multibeam pulsar search: I. Targeted search of weak pulsars

The MPIfR-MeerKAT Galactic Plane Survey II. The eccentric double neutron star system PSR J1208-5936 and a neutron star merger rate update

Search for "Ronin" Pulsars in Globular Clusters Using FAST: Discovery of Two New Slow Pulsars in M15

The High Time Resolution Universe Pulsar survey – XVIII. The reprocessing of the HTRU-S Low Lat survey around the Galactic Centre using a Fast Folding Algorithm pipeline for accelerated pulsars


[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data

Data-Free Network Quantization With Adversarial Knowledge Distillation

Learning from a Teacher using Unlabeled Data


Creative Commons Attribution Share Alike 4.0 International

Work in progress

Does the deduction theorem fail for modal logic?

Normalization by Evaluation in the Delay Monad: A Case Study for Coinduction via Copatterns and Sized Types

Continuation-passing style models complete for intuitionistic logic

Denotation of contextual modal type theory (CMTT): Syntax and meta-programming

Intuitionistic Hypothetical Logic of Proofs

Electronic Notes in Theoretical Computer Science


beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022

AdaBins: Depth Estimation using Adaptive Bins

Causal Influence Detection for Improving Efficiency in Reinforcement Learning

Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization


(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR 2024, Oral)

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration


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


[ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with
  Vision-Language Benchmark

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Hadamard Product for Low-rank Bilinear Pooling

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects


Long read QC, assembly and scaffolding pipeline

Six reference-quality genomes reveal evolution of bat adaptations

Contrasting signatures of genomic divergence during sympatric speciation

A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae)


TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

Decoupled Weight Decay Regularization

mixup: Beyond Empirical Risk Minimization

Big Transfer (BiT): General Visual Representation Learning

Knowledge distillation: A good teacher is patient and consistent


A minimalist implementation of score-based diffusion model

Denoising Diffusion Probabilistic Models

Score-Based Generative Modeling through Stochastic Differential Equations

Maximum Likelihood Training of Score-Based Diffusion Models

A Variational Perspective on Diffusion-Based Generative Models and Score Matching


Microbiota Analysis in R Easily

Intestinal microbiota development and gestational age in preterm neonates

Chemotherapy-induced gastrointestinal toxicity is associated with changes in serum and urine metabolome and fecal microbiota in male Sprague–Dawley rats

Comparative analysis of vaginal microbiota sampling using 16S rRNA gene analysis

Colonic Mucosal Microbiota and Association of Bacterial Taxa with the Expression of Host Antimicrobial Peptides in Pediatric Ulcerative Colitis

International journal of molecular sciences

Parity and gestational age are associated with vaginal microbiota composition in term and late term pregnancies

Randomised clinical trial: effect of low-FODMAP rye bread versus regular rye bread on the intestinal microbiota of irritable bowel syndrome patients: association with individual symptom variation

Colonic Gene Expression and Fecal Microbiota in Diarrhea-predominant Irritable Bowel Syndrome: Increased Toll-like Receptor 4 but Minimal Inflammation and no Response to Mesalazine

Journal of neurogastroenterology and motility

Fecal Bacteria Implicated in Biofilm Production Are Enriched and Associate to Gastrointestinal Symptoms in Patients With APECED – A Pilot Study

Quantitative Fecal Microbiota Profiles Relate to Therapy Response During Induction With Tumor Necrosis Factor α Antagonist Infliximab in Pediatric Inflammatory Bowel Disease

Sources of gut microbiota variation in a large longitudinal Finnish infant cohort


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

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Provably Minimally-Distorted Adversarial Examples

Snooping Attacks on Deep Reinforcement Learning

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


Resilient Model-Based RL by Regularizing Posterior Predictability

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Joint Representations for Reinforcement Learning with Multiple Sensors

Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning


A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

International Conference on Information and Knowledge Management

Graph-based Semi-supervised Learning: A Comprehensive Review

Predicting Attributes of Nodes Using Network Structure

ACM Transactions on Intelligent Systems and Technology

Seven-Layer Model in Complex Networks Link Prediction: A Survey


scScope is a deep-learning based approach for single cell RNA-seq analysis.

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning

Zenodo (CERN European Organization for Nuclear Research)

scRNA‐seq data analysis method to improve analysis performance

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation

Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation


Attention Is All You Need

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

Longformer: The Long-Document Transformer

Generating Long Sequences with Sparse Transformers

SparseBERT: Rethinking the Importance Analysis in Self-attention


Pytorch implementation of Deep Variational Information Bottleneck

Deep Variational Information Bottleneck

Conditional entropy minimization principle for learning domain invariant representation features

Elastic Information Bottleneck


HuMIdb dataset (Human Mobile Interaction database) characterizes the interaction of 600 users according to 14 sensors during normal human-mobile interactions in an unsupervised scenario with more than 300 different devices.

Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication

Mobile Behavioral Biometrics for Passive Authentication

BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb

Techniques for Continuous Touch-Based Authentication Modeling


A neural net trained over a person's personal photo collection to do face detection

FaceNet: A Unified Embedding for Face Recognition and Clustering

Learning Face Representation from Scratch

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

The Unintended Consequences of Overfitting: Training Data Inference Attacks.


Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf

Unlabeled Data Improves Adversarial Robustness

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Relating Adversarially Robust Generalization to Flat Minima

Adversarial Robustness via Fisher-Rao Regularization

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Improving Neural Network Robustness via Persistency of Excitation

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing


signatselect: Identifying signatures of selection

Detecting evolutionary forces in language change

Identifying Signatures of Selection in Genetic Time Series

A non-equilibrium neutral model for analysing cultural change


Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

A topological insight into restricted Boltzmann machines

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

Topological Insights into Sparse Neural Networks

Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks

On improving deep learning generalization with adaptive sparse connectivity

Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

Computer systems science and engineering

Group-Connected Multilayer Perceptron Networks


Inductive Logic Programming via Differentiable Deep Neural Logic Networks

Differentiable Logic Machines

Rule Learning by Modularity


DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode

IEEE Transactions on Software Engineering

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

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


TRAM: Benchmarking Temporal Reasoning for Large Language Models (Findings of ACL 2024)

RoBERTa: A Robustly Optimized BERT Pretraining Approach

GPT-4 Technical Report

Llama 2: Open Foundation and Fine-Tuned Chat Models

PaLM 2 Technical Report


This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-Encoders

Learning from Counterfactual Links for Link Prediction

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

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

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework

Network Alignment with Transferable Graph Autoencoders

Dynamic Graph Information Bottleneck

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring


A space-efficient compressor based on the Re-Pair grammar

MR-RePair: Grammar Compression based on Maximal Repeats

RePair in Compressed Space and Time

Compression-Based Methods of Time Series Forecasting


AMASS: Archive of Motion Capture as Surface Shapes

Learning Fashion Compatibility with Bidirectional LSTMs

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

Imbalanced Deep Learning by Minority Class Incremental Rectification

Deep Human Parsing with Active Template Regression

IEEE transactions on pattern analysis and machine intelligence

Image Aesthetic Assessment: An Experimental Survey

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Fashion Landmark Detection in the Wild

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations


[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


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


SummScreen: A Dataset for Abstractive Screenplay Summarization (ACL 2022)

Hierarchical3D Adapters for Long Video-to-text Summarization

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content

Leveraging Natural Supervision for Language Representation Learning and Generation

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers


Data splits for the NAACL 2016 paper

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Speaker-change Aware CRF for Dialogue Act Classification

Multi-level Gated Recurrent Neural Network for Dialog Act Classification


The Fact Extraction and VERification (FEVER) Shared Task

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification

A Review on Fact Extraction and Verification

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification

Adversarial attacks against Fact Extraction and VERification

WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia

Improving Bot Response Contradiction Detection via Utterance Rewriting

Learning to Navigate Wikipedia by Taking Random Walks

GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification

International Conference on Computational Linguistics

Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism


Manually annotated chord data set of US pop songs and Popular Music Collection of RWC Music Database

A Bi-directional Transformer for Musical Chord Recognition

Improved Chord Recognition by Combining Duration and Harmonic Language Models

Personalized Popular Music Generation Using Imitation and Structure

Large Vocabulary Automatic Chord Estimation Using Deep Neural Nets: Design Framework, System Variations and Limitations

DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations


[NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning

Efficient Neural Network Robustness Certification with General Activation Functions

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses


Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data

Methods in molecular biology (Clifton, N.J.)

PUREE: accurate pan-cancer tumor purity estimation from gene expression data

The Abundance of Tumor-Infiltrating CD8+ Tissue Resident Memory T Lymphocytes Correlates with Patient Survival in Glioblastoma


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


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?


Promting Whisper for Audio-Visual Speech Recognition, Code-Switched Speech Recognition, and Zero-Shot Speech Translation

How2: A Large-scale Dataset for Multimodal Language Understanding

Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

AVATAR: Unconstrained Audiovisual Speech Recognition


[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring

Comparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches.

The Journal of the Acoustical Society of America

Evaluation of various feature sets and feature selection towards automatic recognition of bird species

International journal of computer application and technology

Song recorded near a super-group of humpback whales on a mid-latitude feeding ground off South Africa

Click reception in the harbor porpoise (Phocoena phocoena): Effects of electrode and contact transducer location on the auditory brainstem response

Unknown beaked whale echolocation signals recorded off eastern New Zealand


Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

Recursive Neural Networks in Quark/Gluon Tagging

End-to-end jet classification of quarks and gluons with the CMS Open Data

Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider


Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.

Network geometry inference using common neighbors

Physical review. E, Statistical, nonlinear, and soft matter physics

Manifold learning and maximum likelihood estimation for hyperbolic network embedding

The latent geometry of the human protein interaction network

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space

Geometric characterisation of disease modules


Implementations of data poisoning attacks against neural networks and related defenses.

Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff

Poison Ink: Robust and Invisible Backdoor Attack

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations

What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning

Have You Poisoned My Data? Defending Neural Networks against Data
  Poisoning


Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh

Fundamentally Understanding and Solving RowHammer

Proceedings of the 28th Asia and South Pacific Design Automation Conference

Don't Knock! Rowhammer at the Backdoor of DNN Models

X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands

RAMPART: RowHammer Mitigation and Repair for Server Memory Systems


Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Deep Policy Dynamic Programming for Vehicle Routing Problems

Learning the travelling salesperson problem requires rethinking generalization

Learning to Solve Routing Problems via Distributionally Robust Optimization

On Learning Paradigms for the Travelling Salesman Problem

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

Adaptive solution prediction for combinatorial optimization


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


An ERA5-based hourly global pressure, temperature, and relative humidity model

An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model

HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods


Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

SlowFast Networks for Video Recognition

X3D: Expanding Architectures for Efficient Video Recognition


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


ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation

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

Learning Approximate Inference Networks for Structured Prediction


Bayesian hierarchical model for complex trait analysis

Improved polygenic prediction by Bayesian multiple regression on summary statistics

A Gene-Set Enrichment and Protein–Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle

Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method

Functional Partitioning of Genomic Variance and Genome-Wide Association Study for Carcass Traits in Korean Hanwoo Cattle Using Imputed Sequence Level SNP Data

An evaluation of the predictive performance and mapping power of the BayesR model for genomic prediction

Accuracies of genomic predictions for disease resistance of striped catfish to Edwardsiella ictaluri using artificial intelligence algorithms

SLEMM: million-scale genomic predictions with window-based SNP weighting

An Integrative Genomic Prediction Approach for Predicting Buffalo Milk Traits by Incorporating Related Cattle QTLs


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


Public repository describing training and testing of AntiBERTa.

Deciphering the language of antibodies using self-supervised learning

A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model


Code for the paper "Smart 'Predict, then Optimize'"

Smart "Predict, then Optimize"

Fast Rates for Contextual Linear Optimization

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities


A Tidy Framework to Hack Gene Expression Signatures

Inferring tumour purity and stromal and immune cell admixture from expression data

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity

Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity

hacksig: a unified and tidy R framework to easily compute gene expression signature scores


Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection

Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection

Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation


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


Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

Deep Learning for Vision-based Prediction: A Survey

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Self-Supervised Learning from Automatically Separated Sound Scenes

SpliceOut: A Simple and Efficient Audio Augmentation Method


Package for computing the Atos Q-score.

Quantum Volume in Practice: What Users Can Expect From NISQ Devices

IEEE Transactions on Quantum Engineering

Neutral atom quantum computing hardware: performance and end-user perspective

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

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK


Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Sequence-to-Sequence Contrastive Learning for Text Recognition

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition


Odyssey: a public, GPU-based  GRRT (general relativistic radiative transfer) code

A ring-like accretion structure in M87 connecting its black hole and jet

ODYSSEY: A PUBLIC GPU-BASED CODE FOR GENERAL RELATIVISTIC RADIATIVE TRANSFER IN KERR SPACETIME

Black hole shadow with soft hairs

Comparison of Polarized Radiative Transfer Codes Used by the EHT Collaboration

Observational features of reflection asymmetric black holes


[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Gradient Aligned Attacks via a Few Queries


Dependent Session Types

Session Types in a Linearly Typed Multi-Threaded Lambda-Calculus

Linearly Typed Dyadic Group Sessions for Building Multiparty Sessions


The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating

A Dynamic Points Removal Benchmark in Point Cloud Maps

DeFlow: Decoder of Scene Flow Network in Autonomous Driving

DUFOMap: Efficient Dynamic Awareness Mapping

BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps


SudoLang LLM Support for VSCode

Prompting Is Programming: A Query Language for Large Language Models

Prompting Frameworks for Large Language Models: A Survey

Prompting with Pseudo-Code Instructions


To be a next-generation DL-based phenotype prediction from genome mutations.

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2

Pathogenicity and functional impact of non-frameshifting insertion/deletion variation in the human genome

Predicting the pathogenicity of protein coding mutations using Natural Language Processing

International Conference of the IEEE Engineering in Medicine and Biology Society


MATLAB code for performing the coalescent embedding

A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities

Hydra: a method for strain-minimizing hyperbolic embedding of network- and distance-based data

Minimum curvilinear automata with similarity attachment for network embedding and link prediction in the hyperbolic space

Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding

Model-independent embedding of directed networks into Euclidean and hyperbolic spaces


VGG16 models for CIFAR-10 and CIFAR-100 using Keras

Do ImageNet Classifiers Generalize to ImageNet?

Verified Uncertainty Calibration

To Trust Or Not To Trust A Classifier

On The Power of Curriculum Learning in Training Deep Networks

Are Generative Classifiers More Robust to Adversarial Attacks?

When Do Curricula Work?

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Overinterpretation reveals image classification model pathologies

Deep Neural Network Ensembles

On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation


Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Prototypical Networks for Few-shot Learning

Probabilistic Model-Agnostic Meta-Learning

Amortized Bayesian Meta-Learning

International Conference on Learning Representations

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

PAC-Bayes meta-learning with implicit task-specific posteriors


Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Graph Contrastive Learning with Adaptive Augmentation

Large-Scale Representation Learning on Graphs via Bootstrapping

Graph Communal Contrastive Learning

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Compact Graph Structure Learning via Mutual Information Compression

Informative Pseudo-Labeling for Graph Neural Networks with Few Labels

Relational Self-Supervised Learning on Graphs

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

Efficient Tuning and Inference for Large Language Models on Textual Graphs

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective


Code for the collection and analysis of the MTNT dataset

MTNT: A Testbed for Machine Translation of Noisy Text

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Synthesizing Parallel Data of User-Generated Texts with Zero-Shot Neural Machine Translation

Transactions of the Association for Computational Linguistics

Learning Neural Models for Natural Language Processing in the Face of Distributional Shift


Implementation of the Capsule-Forensics-v2

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Use of a Capsule Network to Detect Fake Images and Videos

DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

DeepFake-o-meter: An Open Platform for DeepFake Detection

Robust Deepfake On Unrestricted Media: Generation And Detection


Gral calculation core


基于PaddlePaddle框架的异常检测算法复现

Towards Total Recall in Industrial Anomaly Detection

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation


third generation spectral wave model WAM Cycle 6

The Impact of a Reduced High‐Wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea, and the Arctic Ocean

Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches

Wave boundary layer model in SWAN revisited

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Journal of Marine Science and Engineering


BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts

Global radiation in a rare biosphere soil diatom

Incorporating Topological and Age Uncertainty into Event-Based Biogeography of Sand Spiders Supports Paleo-Islands in Galapagos and Ancient Connections among Neotropical Dry Forests

Phylotranscriptomics Shed Light on Intrageneric Relationships and Historical Biogeography of Ceratozamia (Cycadales)

Evolutionary Relationships and Range Evolution of Greenhood Orchids (Subtribe Pterostylidinae): Insights From Plastid Phylogenomics

Repeatedly Northwards and Upwards: Southern African Grasslands Fuel the Colonization of the African Sky Islands in Helichrysum (Compositae)


An `R` package for various phylogenetic and evolutionary biology data manipulations

Prolonged Outbreak of Multidrug-Resistant Shigella sonnei Harboring bla(CTX-M-27) in Victoria, Australia

Genomic Analysis of Fluoroquinolone- and Tetracycline-Resistant Campylobacter jejuni Sequence Type 6964 in Humans and Poultry, New Zealand, 2014-2016

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

An ST131 clade and a phylogroup A clade bearing an O101-like O-antigen cluster predominate among bloodstream Escherichia coli isolates from South-West Nigeria hospitals

Molecular Epidemiology of the Norwegian SARS-CoV-2 Delta Lineage AY.63

Host DNA depletion on frozen human respiratory samples enables successful metagenomic sequencing for microbiome studies


This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

Meeting of the Association for Computational Linguistics

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations

Unsupervised Compositionality Prediction of Nominal Compounds

International Conference on Computational Logic

Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models

Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory

Comparative Analysis of Word Embeddings for Capturing Word Similarities

Zenodo (CERN European Organization for Nuclear Research)

Incorporating Subword Information into Matrix Factorization Word Embeddings

Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata

Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics

DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction

North American Chapter of the Association for Computational Linguistics


Unsupervised Representation Learning for Singing Voice Separation

Learning Speaker Representations with Mutual Information

Unsupervised Interpretable Representation Learning for Singing Voice Separation

Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances


A generalized score-based method for Causal Discovery

Learning Sparse Nonparametric DAGs

A polynomial-time algorithm for learning nonparametric causal graphs

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data

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

Reframed GES with a Neural Conditional Dependence Measure


JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

Approaching complexity by stochastic methods: From biological systems to turbulence

kramersmoyal: Kramers--Moyal coefficients for stochastic processes

Arbitrary-Order Finite-Time Corrections for the Kramers–Moyal Operator

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets


Places205-VGGNet models for scene recognition

Places205-VGGNet Models for Scene Recognition

Better Exploiting OS-CNNs for Better Event Recognition in Images

Collaborative Layer-wise Discriminative Learning in Deep Neural Networks


to solve the aBR decomposition online for an unconventional material or obstructed atomic insulator (OAI). "Unconventional materials", Sci. Bul. 67(6), 598-608 (2022).

Unconventional materials: the mismatch between electronic charge centers and atomic positions

Application of topological quantum chemistry in electrides

Superconductivity in unconventional metals

Two elementary band representation model, Fermi surface nesting, and surface topological superconductivity in AV_3Sb_ 5 (A = K, Rb, Cs)


This is the public repository for the gevolution cosmological N-body code.

Weak-lensing observables in relativistic N-body simulations

Monthly Notices of the Royal Astronomical Society

Observing relativistic features in large-scale structure surveys - II. Doppler magnification in an ensemble of relativistic simulations

The halo bias for number counts on the light cone from relativistic N-body simulations

Mapping the cosmic mass distribution with stacked weak gravitational lensing and Doppler lensing

The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence

Relativistic matter bispectrum of cosmic structures on the light cone


[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


DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging


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"


Lung fields segmentation on CXR images using convolutional neural networks.

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

COVID-19 image classification using deep learning: Advances, challenges and opportunities

Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning

International Journal of Imaging Systems and Technology


Principal Neighbourhood Aggregation for Graph Nets

Building powerful and equivariant graph neural networks with structural message-passing

Asynchronous Neural Networks for Learning in Graphs


Repository for SLURP paper

SLURP: A Spoken Language Understanding Resource Package

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts

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

Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models

Masked Audio Text Encoders are Effective Multi-Modal Rescorers

BlendX: Complex Multi-Intent Detection with Blended Patterns


Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

The Self-Optimal-Transport Feature Transform


Optimization with orthogonal constraints and on general manifolds

Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group

Trivializations for Gradient-Based Optimization on Manifolds

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

projUNN: efficient method for training deep networks with unitary matrices

MomentumRNN: Integrating Momentum into Recurrent Neural Networks

How does momentum benefit deep neural networks architecture design? A few case studies

Path Development Network with Finite-dimensional Lie Group Representation

Coordinate descent on the orthogonal group for recurrent neural network training

What if Neural Networks had SVDs?

Geometric Optimisation on Manifolds with Applications to Deep Learning


OpenRISC 1200 implementation

Customized Routing Optimization Based on Gradient Boost Regressor Model

Non Uniform On Chip Power Delivery Network Synthesis Methodology

A Security-Aware and LUT-Based CAD Flow for the Physical Synthesis of hASICs

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Timing Aware Dummy Metal Fill Methodology

Machine Learning Based Fast Power Integrity Classifier

A Machine Learning Framework for Register Placement Optimization in Digital Circuit Design


Library for training globally-robust neural networks.

Globally-Robust Neural Networks

Unlocking Deterministic Robustness Certification on ImageNet

Relaxing Local Robustness

CertViT: Certified Robustness of Pre-Trained Vision Transformers


A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

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

PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

On the Effectiveness of Distillation in Mitigating Backdoors in
  Pre-trained Encoder


An approximate sequence pattern matcher for FASTQ/FASTA files.

An Illumina metabarcoding pipeline for fungi

Oomycete-specific ITS primers for identification and metabarcoding

Soil depth matters: shift in composition and inter-kingdom co-occurrence patterns of microorganisms in forest soils

Fast sequence-based microsatellite genotyping development workflow

Effects of agricultural management on phyllosphere fungal diversity in vineyards and the association with adjacent native forests

Dead or Alive; or Does It Really Matter? Level of Congruency Between Trophic Modes in Total and Active Fungal Communities in High Arctic Soil

Highly comparable metabarcoding results from MGI-Tech and Illumina sequencing platforms

Distinct Community Composition of Previously Uncharacterized Denitrifying Bacteria and Fungi across Different Land-Use Types

Phylogenetic studies uncover a predominantly African lineage in a widely distributed lichen-forming fungal species

What determines plant species diversity along the Modern Silk Road in the east?


[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning


A Chainer extension for K-FAC

Bag of Tricks for Image Classification with Convolutional Neural Networks

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks

Scalable and Practical Natural Gradient for Large-Scale Deep Learning


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


Radial velocity and stellar parameter fitting code for large surveys

The Great Escape: Discovery of a nearby 1700 km/s star ejected from the
  Milky Way by Sgr A*

The Southern Stellar Stream Spectroscopic Survey (S^5): Overview,
  Target Selection, Data Reduction, Validation, and Early Science

Measuring the Mass of the Large Magellanic Cloud with Stellar Streams
  Observed by S^5

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

Overview of the DESI Milky Way Survey

The tidal remnant of an unusually metal-poor globular cluster

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor


Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Universal Language Model Fine-tuning for Text Classification

A System for Massively Parallel Hyperparameter Tuning

Continual spatio-temporal graph convolutional networks

Efficient Online Processing with Deep Neural Networks


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


a short-read polishing tool for long-read assemblies

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Chimaeribacter arupi a new member of the Yersineacea family has the characteristics of a human pathogen

Frontiers in cellular and infection microbiology

Bifidobacterium longum subsp. longum BG-L47 boosts growth and activity of Limosilactobacillus reuteri DSM 17938 and its extracellular membrane vesicles


Import Air Quality Monitoring Data in a Fast and Easy Way

Spatial heterogeneity of air pollution statistics in Europe


The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

Scalable Global Optimization via Local Bayesian Optimization

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

High-dimensional multidisciplinary design optimization for aircraft
  eco-design / Optimisation multi-disciplinaire en grande dimension pour
  l'éco-conception avion en avant-projet


Path Integral Sampler: a stochastic control approach for sampling

Annealed Flow Transport Monte Carlo

Flow Annealed Importance Sampling Bootstrap

Continual Repeated Annealed Flow Transport Monte Carlo

Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling

Stable Training of Normalizing Flows for High-dimensional Variational Inference


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


Entropy rate superpixel segmentation source code

Superpixel Segmentation Using Gaussian Mixture Model

Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint

Efficient Multiscale Object-based Superpixel Framework

ISEC: Iterative over-Segmentation via Edge Clustering

Content-Based Superpixel Segmentation and Matching Using Its Region Feature Descriptors

IEICE Transactions on Information and Systems

A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images


Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

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

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Improved Neural Relation Detection for Knowledge Base Question Answering

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models

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

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

An empirical analysis of existing systems and datasets toward general simple question answering

International Conference on Computational Linguistics


code for "Fully Neural Network based Model for General Temporal Point Processes"

Intensity-Free Learning of Temporal Point Processes

Using Deep Learning for Flexible and Scalable Earthquake Forecasting

An Empirical Study: Extensive Deep Temporal Point Process


Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

HofstadterTools: A Python package for analyzing the Hofstadter model

Heisenberg Spin-1/2 Antiferromagnetic Molecular Chains

Emergence of Exotic Spin Texture in Supramolecular Metal Complexes on a 2D Superconductor

Self-doped flat band and spin-triplet superconductivity in monolayer 1T-TaSe2-xTex

Noncontact Andreev Reflection as a Direct Probe of Superconductivity on the Atomic Scale

Vacancy-induced localized modes and impurity band formation in the Haldane model: a quantum dot analogy

Effects of electron-electron interactions in the Yu-Shiba-Rusinov lattice model

Backscattering of topologically protected helical edge states by line defects


Codebase for Indic-Transliteration using Seq2Seq RNN. For latest repo with Transformer-based models, check: https://github.com/AI4Bharat/IndicXlit

Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling

IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages

Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges


SpikeGLX recording system GUI [Neuropixels NI]

Single-trial neural dynamics are dominated by richly varied movements

A synaptic threshold mechanism for computing escape decisions

A Circuit for Integration of Head- and Visual-Motion Signals in Layer 6 of Mouse Primary Visual Cortex

An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

Descending neocortical output critical for skilled forelimb movements is distributed across projection cell classes

Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

Flexible inhibitory control of visually evoked defensive behavior by the ventral lateral geniculate nucleus

Multisensory coding of angular head velocity in the retrosplenial cortex

CMU Array: A 3D nanoprinted, fully customizable high-density microelectrode array platform

Complexity of frequency receptive fields predicts tonotopic variability across species


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


Guarantees on the behavior of neural networks don't always have to come at the cost of performance.

Deep Anomaly Detection with Outlier Exposure

Provably Robust Detection of Out-of-distribution Data (almost) for free

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


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


SchNet - a deep learning architecture for quantum chemistry

SchNet - A deep learning architecture for molecules and materials.

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

Band Gap Prediction for Large Organic Crystal Structures with Machine Learning

A snapshot review on soft materials assembly design utilizing machine learning methods


Intersubject correlation tutorial

Measuring shared responses across subjects using intersubject correlation

Fine-scale dynamics of functional connectivity in the face processing network during movie watching


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 for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

AlphaNet: Improved Training of Supernets with Alpha-Divergence

Supernet Training for Federated Image Classification under System Heterogeneity


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


Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics


Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbations.

XGBoost: A Scalable Tree Boosting System

Optuna: A Next-generation Hyperparameter Optimization Framework

CatBoost: gradient boosting with categorical features support

FLAML: A Fast and Lightweight AutoML Library

Missing Data Infill with Automunge


Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association

Double/debiased machine learning for treatment and structural parameters

Machine Learning: An Applied Econometric Approach

Human Decisions and Machine Predictions

Inference on Treatment Effects after Selection among High-Dimensional Controls

Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain

Prediction Policy Problems

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Characterizing the spatial structure of defensive skill in professional basketball


Population genetics analyses

Genomic Investigation of the Strawberry Pathogen Phytophthora fragariae Indicates Pathogenicity Is Associated With Transcriptional Variation in Three Key Races

Epistatic Modifiers Influence the Expression of Continual Flowering in Strawberry

Quantitative Trait Loci Controlling Phytophthora cactorum Resistance in the Cultivated Octoploid Strawberry (Fragaria x ananassa)

Identification of powdery mildew resistance QTL in Fragaria x ananassa


SVG based genome viewer written in javascript using D3

IslandViewer 3: more flexible, interactive genomic island discovery, visualization and analysis

WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes

GenomeD3Plot: a library for rich, interactive visualizations of genomic data in web applications


Creating Regression Models Of Building Emissions On Google Cloud


LatPlan : A domain-independent, image-based classical planner

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

Classical Planning in Deep Latent Space

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS


[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Temporal Attentive Alignment for Video Domain Adaptation

Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation


Active Subspace Data Sets

Active Manifolds: A non-linear analogue to Active Subspaces

Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method

A local approach to parameter space reduction for regression and classification tasks

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces


A spatially explicit trait- and individual-based microbial systems modelling framework

A trait-based approach for modelling microbial litter decomposition.

Consequences of drought tolerance traits for microbial decomposition in the DEMENT model

Emergent properties of organic matter decomposition by soil enzymes

Drought legacies mediated by trait trade-offs in soil microbiomes


Index repo for Kimera code

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

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

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

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

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research

RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments

Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities From Visual SLAM

gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments

Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction


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


TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Eigenvalue Corrected Noisy Natural Gradient

Walsh-Hadamard Variational Inference for Bayesian Deep Learning

Eigenvalue-corrected Natural Gradient Based on a New Approximation


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

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

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

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

Brain and molecular mechanisms underlying the nonlinear association between close friendships, mental health, and cognition in children

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


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


Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

Language as Queries for Referring Video Object Segmentation

Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss.


Ten Thousand German News Articles Dataset for Topic Classification

German BERT Model for Legal Named Entity Recognition

Proceedings of the 15th International Conference on Agents and Artificial Intelligence

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Findings of the Association for Computational Linguistics: ACL 2022

German FinBERT: A German Pre-trained Language Model


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


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

Gated Path Planning Networks

Path Planning using Neural A* Search

[Reproducibility Report] Path Planning using Neural A* Search


Pipeline for de novo peptide sequencing (Novor, DeepNovo, SMSNet, PointNovo, Casanovo) and assembly with ALPS.

De novo peptide sequencing by deep learning

Research in Computational Molecular Biology

pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework

Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework

Sequence-to-sequence translation from mass spectra to peptides with a transformer model


Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

Agent-based Graph Neural Networks

State of the Art and Potentialities of Graph-level Learning

Asynchronous Neural Networks for Learning in Graphs


For a sequence or list of sequences, simple-circularise will circularise a linear sequence that should be circular but has been overlapped during assembly.

Complete Genome of Lactobacillus iners KY Using Flongle Provides Insight Into the Genetic Background of Optimal Adaption to Vaginal Econiche

Highly Specialized Carbohydrate Metabolism Capability in Bifidobacterium Strains Associated with Intestinal Barrier Maturation in Early Preterm Infants

Complete Genome Sequences of Six Lactobacillus iners Strains Isolated from the Human Vagina

Chromosome-level genome assembly and transcriptome- based annotation of the oleaginous yeast Rhodotorula toruloides CBS 14

Mitochondrial genome fragmentation is correlated with increased rates of molecular evolution


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


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


Pytorch NLP library based on FastAI

A Neural Conversational Model

Massive Exploration of Neural Machine Translation Architectures

Depthwise Separable Convolutions for Neural Machine Translation

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation


Efficient AGN light curve modeling and parameter estimation using celerite

A characteristic optical variability time scale in astrophysical accretion disks

Zenodo (CERN European Organization for Nuclear Research)

Dwarf AGNs from variability for the origins of seeds (DAVOS): optical variability of broad-line dwarf AGNs from the zwicky transient facility

How Long Will the Quasar UV/Optical Flickering Be Damped?


Computation of the semantic interpretability of topics produced by topic models.

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

Conference of the European Chapter of the Association for Computational Linguistics

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

Coherence-Aware Neural Topic Modeling

Zika discourse in the Americas: A multilingual topic analysis of Twitter

On Poetic Topic Modeling: Extracting Themes and Motifs From a Corpus of Spanish Poetry

Nonparametric Topic Modeling with Neural Inference

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics


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


MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

LR-Sum: Summarization for Less-Resourced Languages


Creative Commons Attribution 4.0 International

ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS '21)

A Benchmark for Systematic Generalization in Grounded Language Understanding

Inducing Causal Structure for Interpretable Neural Networks

ReaSCAN: Compositional Reasoning in Language Grounding

Systematic Generalization on gSCAN with Language Conditioned Embedding


Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

IEEE transactions on pattern analysis and machine intelligence

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Transportation Research Part C: Emerging Technologies

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

A Large Scale PeMS Traffic Speed Dataset


The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Is In-Context Learning Sufficient for Instruction Following in LLMs?

How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment


Code for Supervised Word Mover's Distance (SWMD)

Supervised Word Mover's Distance

Supervised Tree-Wasserstein Distance

Approximating 1-Wasserstein Distance with Trees

Wasserstein-Fisher-Rao Document Distance

Interpretable contrastive word mover's embedding


Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.

High-Resolution Image Synthesis with Latent Diffusion Models

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

CVPR 2023 Text Guided Video Editing Competition

Edit Temporal-Consistent Videos with Image Diffusion Model

MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance


Surfrider Europe's project Plastic Origins aims at mapping river plastic pollution. This citizen science project uses AI to detect litter on river banks. Results are put on a map and shared publicly. We welcome contributions from volunteers. Please, get in touch.


Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

Going Beyond Classification Accuracy Metrics in Model Compression

VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations

A Variational Auto-Encoder for Reservoir Monitoring


Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning


[ISMIR 2022] Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription

SpeechBrain: A General-Purpose Speech Toolkit

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm

Self-Transriber: Few-shot Lyrics Transcription with Self-training


Distributed semi-constrained microphone arrays

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays

Distributed speech separation in spatially unconstrained microphone arrays

Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes


ReACT public repo

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

On the road to per cent accuracy IV: ReACT – computing the non-linear power spectrum beyond ΛCDM

Monthly Notices of the Royal Astronomical Society

FORGE -- the f(R) gravity cosmic emulator project I: Introduction and matter power spectrum emulator

On the road to per cent accuracy - V. The non-linear power spectrum beyond Lambda CDM with massive neutrinos and baryonic feedback

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of Cosmology and Astroparticle Physics

DEMNUni: comparing nonlinear power spectra prescriptions in the presence of massive neutrinos and dynamical dark energy

MGLenS: Modified gravity weak lensing simulations for emulation-based cosmological inference


Learning to Adapt Structured Output Space for Semantic Segmentation

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters


Deep Articulatory Synthesis and Inversion

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Speaker-Independent Acoustic-to-Articulatory Speech Inversion

Deep Speech Synthesis from Articulatory Representations

Deep Speech Synthesis from MRI-Based Articulatory Representations


CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey


A fast, simple, multilingual tokenizer

BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Are the Multilingual Models Better? Improving Czech Sentiment with Transformers

¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline

WordTokenizers.jl: Basic tools for tokenizing natural language in Julia

Using Related Languages to Enhance Statistical Language Models

North American Chapter of the Association for Computational Linguistics


Coverage tests to check the quality of your posterior estimators.

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering


Simple scripts for concatenate alignments and rename terminals for phylogenetics

Support for a clade of Placozoa and Cnidaria in genes with minimal compositional bias

In-depth phylogenomic analysis of arbuscular mycorrhizal fungi based on a comprehensive set of de novo genome assemblies

Placozoans are eumetazoans related to Cnidaria

The terrestrial isopod symbiont 'Candidatus Hepatincola porcellionum' is a potential nutrient scavenger related to Holosporales symbionts of protists

Ecophysiology of the cosmopolitan OM252 bacterioplankton (Gammaproteobacteria)

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla


MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Fiberfox: Facilitating the creation of realistic white matter software phantoms

Real-time multi-peak tractography for instantaneous connectivity display

Fiber tractography using machine learning

The Application of Functional Magnetic Resonance Imaging in Type 2 Diabetes Rats With Contrast-Induced Acute Kidney Injury and the Associated Innate Immune Response

atTRACTive: Semi-automatic white matter tract segmentation using active learning

Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis

Simulated dMRI images and ground truth of random fiber phantoms in various configurations


MetaQuantus is an XAI performance tool to identify reliable evaluation metrics

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test

A Fresh Look at Sanity Checks for Saliency Maps


The Caltech Fish Counting Dataset

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking

International journal of computer vision

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

Align and Distill: Unifying and Improving Domain Adaptive Object
  Detection


List of research around modern boardgames.

Meeple Centred Design: A Heuristic Toolkit for Evaluating the Accessibility of Tabletop Games

Playing Hanabi Near-Optimally

Aspects of the Cooperative Card Game Hanabi

Communications in computer and information science

Eighteen Months of Meeple Like Us: An Exploration into the State of Board Game Accessibility

Human-Side Strategies in the Werewolf Game Against the Stealth Werewolf Strategy

Evolving maps and decks for ticket to ride

International Conference on Foundations of Digital Games

Neural Networks Models for Analyzing Magic: the Gathering Cards

Monte Carlo Tree Search for the Game of Diplomacy

Hellenic Conference on Artificial Intelligence


Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Efficient Zero-shot Event Extraction with Context-Definition Alignment

Trigger-Argument based Explanation for Event Detection

Findings of the Association for Computational Linguistics: ACL 2023


Code for the paper "Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset" (ACL 2020)

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

Reading Wikipedia to Answer Open-Domain Questions

emrQA: A Large Corpus for Question Answering on Electronic Medical Records


Repository no longer in use


CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

Image Fusion via Vision-Language Model

FFA-GAN: A Generative Adversarial Network Based on Feature Fusion Attention for Intelligent Safety Monitoring


An optimal space run-length Burrows-Wheeler transform full-text index

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Optimal-Time Text Indexing in BWT-runs Bounded Space

Grammar-Compressed Indexes with Logarithmic Search Time

RLBWT Tricks

A Fast and Small Subsampled R-index

Matching reads to many genomes with the r-index

Fast, Small, and Simple Document Listing on Repetitive Text Collections

Grammar Index By Induced Suffix Sorting

A compressed dynamic self-index for highly repetitive text collections

Tailoring r-index for metagenomics


Several models for POS Tagging

Attention Is All You Need

Neural Architectures for Named Entity Recognition

Bidirectional LSTM-CRF Models for Sequence Tagging

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Empower Sequence Labeling with Task-Aware Neural Language Model


Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

VisualBERT: A Simple and Performant Baseline for Vision and Language

ResMLP: Feedforward networks for image classification with data-efficient training

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery


Collection of scripts for working with Wiggle files and analyzing sequencing data

Transcription shapes genome-wide histone acetylation patterns

Genomic dissection of conserved transcriptional regulation in intestinal epithelial cells

Dissection of acute stimulus-inducible nucleosome remodeling in mammalian cells

NuA3 HAT antagonizes the Rpd3S and Rpd3L HDACs to optimize mRNA and lncRNA expression dynamics

The majority of histone acetylation is a consequence of transcription


PyORBIT: a code for exoplanet orbital parameters and stellar activity.

An Ultra-short Period Rocky Super-Earth with a Secondary Eclipse and a Neptune-like Companion around K2-141

The GAPS programme with HARPS-N at TNG XI. Pr~0211 in M~44: the first multi-planet system in an open cluster

The Kepler-19 System: A Thick-envelope Super-Earth with Two Neptune-mass Companions Characterized Using Radial Velocities and Transit Timing Variations

The GAPS Programme at TNG: XXI. A GIARPS case study of known young planetary candidates: Confirmation of HD 285507 b and refutation of AD Leonis b

A PSF-based Approach to TESS High quality data Of Stellar clusters
  (PATHOS) -- II. Search for exoplanets in open clusters of the southern
  ecliptic hemisphere and their frequency

An unusually low density ultra-short period super-Earth and three mini-Neptunes around the old star TOI-561

Monthly notices of the Royal Astronomical Society

The GAPS Programme at TNG

The GAPS Programme with HARPS-N at TNG XVII. Line profile indicators and kernel regression as diagnostics of radial-velocity variations due to stellar activity in solar-like stars

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

A PSF-based Approach to TESS High quality data Of Stellar clusters (PATHOS) - III. Exploring the properties of young associations through their variables, dippers, and candidate exoplanets


Proteome-Wide Association Study

PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins


Quartet Sampling method for phylogenetic branch support evaluation

Phylotranscriptomics unveil a Paleoproterozoic-Mesoproterozoic origin and deep relationships of the Viridiplantae

Quartet Sampling distinguishes lack of support from conflicting support in the plant tree of life

Relationships and genome evolution of polyploid Salix species revealed by RAD sequencing data


The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Robust Dynamic Network Embedding via Ensembles


Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020

Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks

Mitigating Dataset Bias by Using Per-sample Gradient

Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation


Deep Modular Co-Attention Networks for Visual Question Answering

In Defense of Grid Features for Visual Question Answering

An Improved Attention for Visual Question Answering

Sparse and Continuous Attention Mechanisms

SimVQA: Exploring Simulated Environments for Visual Question Answering

Multimodal Continuous Visual Attention Mechanisms

Sparse Continuous Distributions and Fenchel-Young Losses

Video Language Co-Attention with Multimodal Fast-Learning Feature Fusion for VideoQA

Workshop on Representation Learning for NLP

Siamese Tracking with Lingual Object Constraints

Deep Equilibrium Multimodal Fusion


[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

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

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

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

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


Code and data for paper Colorless Green Recurrent Networks Dream Hierarchically

Colorless green recurrent networks dream hierarchically

Mechanisms for handling nested dependencies in neural-network language models and humans

Cross-linguistic Comparison of Linguistic Feature Encoding in BERT Models for Typologically Different Languages

Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP

Neural Networks Can Learn Patterns of Island-insensitivity in Norwegian


Mapping astronomical survey data on the sky, handsomely

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Dark Energy Survey Year 1 results: curved-sky weak lensing mass map

Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE

On the relative bias of void tracers in the Dark Energy Survey

Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV

The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space

KaRMMa 2.0 -- Kappa Reconstruction for Mass Mapping

Dark Energy Survey Year 1 Results: Wide-field mass maps via forward fitting in harmonic space

Detection and removal of B-mode dust foregrounds with signatures of statistical anisotropy


Joint Neural Relation Extraction with Text and KGs

Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention

Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models


Handwritten Text Recognition using TensorFlow

Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems

HTR for Greek Historical Handwritten Documents

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System

Handwritten text generation and strikethrough characters augmentation

Lexicon and Attention based Handwritten Text Recognition System

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library


Proteomics Toolset for Integrative Data Analysis

ESCRT-dependent STING degradation inhibits steady-state and cGAMP-induced signalling

Proteomic profiling reveals CDK6 upregulation as a targetable resistance mechanism for lenalidomide in multiple myeloma

Mitochondria preserve an autarkic one-carbon cycle to confer growth-independent cancer cell migration and metastasis

Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues

Cyclin-Dependent Kinase 18 Controls Trafficking of Aquaporin-2 and Its Abundance through Ubiquitin Ligase STUB1, Which Functions as an AKAP

Pan-claudin family interactome analysis reveals shared and specific interactions.

Inhibition of MYC translation through targeting of the newly identified PHB-eIF4F complex as a therapeutic strategy in CLL

Deep proteome profiling reveals signatures of age and sex differences in paw skin and sciatic nerve of naïve mice

An automated and fast sample preparation workflow for laser microdissection guided ultrasensitive proteomics


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


Random scripts, mostly for dealing with RADseq data and DNA sequence alignments

Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

Taxonomic Uncertainty and the Anomaly Zone: Phylogenomics Disentangle a Rapid Radiation to Resolve Contentious Species (Gila robusta Complex) in the Colorado River

Age structuring and spatial heterogeneity in prion protein gene (PRNP) polymorphism in white-tailed deer

FGTpartitioner: A rapid method for parsimonious delimitation of ancestry breakpoints in large genome-wide SNP datasets


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

What Your DRAM Power Models Are Not Telling You

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

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


Photo-elastic Grain Solver

Photoelastic force measurements in granular materials

Enlightening force chains: a review of photoelasticimetry in granular matter

Betweenness Centrality as Predictor for Forces in Granular Packings

Protocol Dependence and State Variables in the Force-Moment Ensemble

Rigidity percolation control of the brittle-ductile transition in disordered networks

Forecasting failure locations in 2-dimensional disordered lattices

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

Spongelike Rigid Structures in Frictional Granular Packings

The effect of grain shape and material on the nonlocal rheology of dense granular flows

Machine learning approach to force reconstruction in photoelastic materials

Force distributions in frictional granular media


The second data release from the European Pulsar Timing Array

KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

Assessing tension metrics with dark energy survey and Planck data

Monthly Notices of the Royal Astronomical Society

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample

Cosmological implications of the full shape of anisotropic clustering measurements in BOSS and eBOSS

Comparing recent PTA results on the nanohertz stochastic gravitational wave background

Non-Gaussian estimates of tensions in cosmological parameters

Hyper Suprime-Cam Year 3 results: Cosmology from galaxy clustering and weak lensing with HSC and SDSS using the emulator based halo model

Comparing Recent Pulsar Timing Array Results on the Nanohertz Stochastic Gravitational-wave Background


Steering drones with body gestures (based on PoseNet)

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling

Learning Deep and Compact Models for Gesture Recognition


Your library for dynamic language modeling

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

An Empirical Study on the Usage of BERT Models for Code Completion

An Empirical Study on the Usage of Transformer Models for Code Completion

Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

Predictive Mutation Analysis via the Natural Language Channel in Source Code

ARIST: An Effective API Argument Recommendation Approach

On-the-Fly Adaptation of Source Code Models using Meta-Learning

Do People Prefer "Natural" code?

Combining Code Embedding with Static Analysis for Function-Call Completion


Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

PolypNextLSTM: A lightweight and fast polyp video segmentation network
  using ConvNext and ConvLSTM