(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

To Create What You Tell: Generating Videos from Captions

A survey and taxonomy of adversarial neural networks for text‐to‐image synthesis

CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis

Unifying Multimodal Transformer for Bi-directional Image and Text Generation

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

Multi-caption Text-to-Face Synthesis: Dataset and Algorithm

Proceedings of the 29th ACM International Conference on Multimedia

Cycle-Consistent Inverse GAN for Text-to-Image Synthesis

Text-to-image Synthesis via Symmetrical Distillation Networks

End-to-End Text-to-Image Synthesis with Spatial Constrains

ACM Transactions on Intelligent Systems and Technology

R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks

Generative Adversarial Network for Text-to-Face Synthesis and Manipulation


Extensive subclonal mutational diversity in human colorectal cancer and its significance

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

Different rates of spontaneous mutation of chloroplastic and nuclear viroids as determined by high-fidelity ultra-deep sequencing

Genome-Wide Estimation of the Spontaneous Mutation Rate of Human Adenovirus 5 by High-Fidelity Deep Sequencing


Monte Carlo tree search in JAX

Policy improvement by planning with Gumbel

International Conference on Learning Representations

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Efficient Offline Policy Optimization with a Learned Model


A collection of special mathematical functions

Relativistic second-order dissipative and anisotropic fluid dynamics in the relaxation-time approximation for an ideal gas of massive particles

High-order Shakhov-like extension of the relaxation time approximation in relativistic kinetic theory

Shakhov-type extension of the relaxation time approximation in relativistic kinetic theory and second-order fluid dynamics


Python implementation of Empirical Mode Decompoisition (EMD) method

The role of seasonality in the spread of COVID-19 pandemic

EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python

EntropyHub: An open-source toolkit for entropic time series analysis

MFDFA: Efficient multifractal detrended fluctuation analysis in python

Predicting the Dynamics of the COVID-19 Pandemic in the United States Using Graph Theory-Based Neural Networks

International journal of environmental research and public health

Fluctuations of water quality time series in rivers follow superstatistics

Spiking activity in the visual thalamus is coupled to pupil dynamics across temporal scales

Hilbert–Huang Transform Analysis of Quasiperiodic Oscillations in MAXI J1820+070

Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes

The cyclic behaviour in the N–S asymmetry of sunspots and solar plages for the period 1910 to 1937 using data from Ebro catalogues

Monthly notices of the Royal Astronomical Society


The quasiparticle self-consistent GW method  in the PMT method (LAPW+LMTO+Lo).

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

Model construction and a possibility of cuprate-like pairing in a new d9
  nickelate superconductor (Nd,Sr)NiO2

Microscopic understanding of magnetic interactions in bilayer CrI 3

Questaal: A package of electronic structure methods based on the linear muffin-tin orbital technique

Accurate energy bands calculated by the hybrid quasiparticle self-consistent GW method implemented in the ecalj package

Direct theoretical evidence for weaker correlations in electron-doped and Hg-based hole-doped cuprates

Dynamic symmetry breaking and spin splitting in metal halide perovskites

Effect of ladder diagrams on optical absorption spectra in a quasiparticle self-consistent GW framework

Research Portal (Queen's University Belfast)

Self-energies in itinerant magnets: A focus on Fe and Ni

ComDMFT: A massively parallel computer package for the electronic structure of correlated-electron systems


End-to-end training of sparse deep neural networks with little-to-no performance loss.

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Sparse Networks from Scratch: Faster Training without Losing Performance

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

The State of Sparse Training in Deep Reinforcement Learning

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

A Survey of Lottery Ticket Hypothesis

[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners


A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

Counterfactual Learning on Graphs: A Survey

GRETEL: Graph Counterfactual Explanation Evaluation Framework

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective

Robust Stochastic Graph Generator for Counterfactual Explanations


Tool to fix bitexts and tag near-duplicates for removal

CroissantLLM: A Truly Bilingual French-English Language Model

The EuroPat Corpus: A Parallel Corpus of European Patent Data

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Neural Machine Translation with Inflected Lexicon

A New Massive Multilingual Dataset for High-Performance Language
  Technologies


A collection of multi agent environments based on OpenAI gym.

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning

Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning

Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning

Fully Independent Communication in Multi-Agent Reinforcement Learning

Open Human-Robot Collaboration using Decentralized Inverse Reinforcement
  Learning


Deep learning for plant phenotyping.


Environment Data Model


Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Learning to optimize halide with tree search and random programs

A Survey on Compiler Autotuning using Machine Learning

Automatic construction of inlining heuristics using machine learning

Symposium on Code Generation and Optimization

Blended, precise semantic program embeddings

Programming Language Design and Implementation

Smart, adaptive mapping of parallelism in the presence of external workload

Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models

GPTune: multitask learning for autotuning exascale applications

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Continuous learning of compiler heuristics

High Performance Embedded Architectures and Compilers

Exploration of Convolutional Neural Network models for source code classification

Engineering applications of artificial intelligence


Patch's Javascript client library - https://www.patch.io


Create realistic networks of neurons, synapses placed using touch detection between axons and dendrites

The microcircuits of striatum in silico

Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)


NASA PVS Library of Formal Developments

Alignment-based Translations Across Formal Systems Using Interface Theories

Teaching Interactive Proofs to Mathematicians

Windmills of the minds: an algorithm for fermat’s two squares theorem

Proceedings of the 11th ACM SIGPLAN International Conference on Certified Programs and Proofs

Lebesgue Induction and Tonelli's Theorem in Coq


Examples for coroutines design in Kotlin

Putting in All the Stops: Execution Control for JavaScript

Fast and Scalable Channels in Kotlin Coroutines

CQS: A Formally-Verified Framework for Fair and Abortable Synchronization


CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.

A NEW SATELLITE IMAGERY STEREO PIPELINE DESIGNED FOR SCALABILITY, ROBUSTNESS AND PERFORMANCE

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

IMPROVING PAIRWISE DSM WITH 3SGM: A SEMANTIC SEGMENTATION FOR SGM USING AN AUTOMATICALLY REFINED NEURAL NETWORK

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II

AI4GEO: A DATA INTELLIGENCE PLATFORM FOR 3D GEOSPATIAL MAPPING

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences


Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. See https://developers.perspectiveapi.com for more information.

Galactica: A Large Language Model for Science

Editing Models with Task Arithmetic

Predictability and Surprise in Large Generative Models

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective

Journal of Artificial Intelligence Research

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

Risk management in the Artificial Intelligence Act

"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat

Mitigating harm in language models with conditional-likelihood filtration


This repo provides scripts for converting tensorflow and pytorch models to coreml for variety of tasks. Converted models like efficientDet, mobilenetV3, efficientNet in coreml format is also provided

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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

Searching for MobileNetV3

EfficientDet: Scalable and Efficient Object Detection

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


Source Code for the ICML Paper "Curriculum Reinforcement Learning via Constrained Optimal Transport"

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

CQM: Curriculum Reinforcement Learning with a Quantized World Model


Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance. Accepted to ACL 2024.

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Layer-Condensed KV Cache for Efficient Inference of Large Language Models

MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer
  Decoding


Tools to download and process name data from various sources.

Quantitative evaluation of gender bias in astronomical publications from citation counts

Demographer: Extremely Simple Name Demographics

The Nonbinary Fraction: Looking Towards the Future of Gender Equity in Astronomy

Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing

Dataset for studying gender disparity in English literary texts


Code for building and experimenting on saliency maps for RL agents.

Dueling Network Architectures for Deep Reinforcement Learning

Visualizing and Understanding Atari Agents

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning

ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents


A library for adversarial classifier evasion

Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

Evading Classifiers by Morphing in the Dark

Data driven exploratory attacks on black box classifiers in adversarial domains

A Survey on Adversarial Attacks for Malware Analysis

Adversarial Regression with Multiple Learners

Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


General optimization technique for high-quality community detection in complex networks

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

Intra graph clustering using collaborative similarity measure

GMAC: A Seed-Insensitive Approach to Local Community Detection

COMSIM: A Bipartite Community Detection Algorithm Using Cycle and Node's Similarity

Graph sketching-based Space-efficient Data Clustering

Self-Taught Spectral Clustering via Constraint Augmentation

SIAM International Conference on Data Mining

A community detection algorithm using network topologies and rule-based hierarchical arc-merging strategies

Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression


[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs

Question Answering Over Temporal Knowledge Graphs

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs


The aim of this repository is to test and implement Flow-Matching-based models

Flow Matching for Generative Modeling

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment

Text-to-Image Rectified Flow as Plug-and-Play Priors


A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011

A Cloud Controller for Performance-Based Pricing

International Conference on Cloud Computing

Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers

A Taxonomy of Live Migration Management in Cloud Computing

PSO-Based Ensemble Meta-Learning Approach for Cloud Virtual Machine Resource Usage Prediction

Multi-Objective Hybrid Flower Pollination Resource Consolidation Scheme for Large Cloud Data Centres


Meedan's Open Source Arabic/English Translation Memory

Critical Survey of the Freely Available Arabic Corpora

Semantic Similarity of Arabic Sentences with Word Embeddings

Proceedings of the Third Arabic Natural Language Processing Workshop

LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

Meeting of the Association for Computational Linguistics


LLaMA: Open and Efficient Foundation Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering


Deep Reinforcement Learning for Robotic Grasping from Octrees

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

Addressing Function Approximation Error in Actor-Critic Methods

Mastering Atari with Discrete World Models

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning


Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Going Deeper with Convolutions

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Rethinking the Inception Architecture for Computer Vision

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


Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features

InQSS: a speech intelligibility and quality assessment model using a multi-task learning network

Study on the Correlation Between Objective Evaluations and Subjective Speech Quality and Intelligibility


A Label Attention Model for ICD Coding from Clinical Text

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

A Unified Review of Deep Learning for Automated Medical Coding

HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding


Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

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

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals


Plasma Dispersion Relation Solver , Kinetic Version

BO: A unified tool for plasma waves and instabilities analysis

BORAY: A ray tracing code for various magnetized plasma configurations

BO 2.0: Plasma Wave and Instability Analysis with Enhanced Polarization Calculations

Plasma wave propagation conditions analysis using the warm multi-fluid model


Collection of simple anti-debugging tricks for Linux

Evaluating Dynamic Binary Instrumentation Systems for Conspicuous Features and Artifacts

Follow the WhiteRabbit: Towards Consolidation of On-the-Fly Virtualization and Virtual Machine Introspection

Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing


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

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

IEEE Transactions on Geoscience and Remote Sensing

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

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

IEEE Geoscience and Remote Sensing Letters

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

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


NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media, EMNLP 2021

Synthetic Misinformers: Generating and Combating Multimodal Misinformation

FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs


Large scale evolution for optimization

Large-Scale Evolution of Image Classifiers

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

Evolutionary Construction of Convolutional Neural Networks


Three Dimensional Optimal Spectral Extraction

The MUSE-Wide Survey: survey description and first data release

Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at $1.5 < z < 6.4$

Three-Dimensional Optimal Spectral Extraction (TDOSE) from integral field spectroscopy


qecsim is a Python 3 package for simulating quantum error correction using stabilizer codes.

Sparse Blossom: correcting a million errors per core second with minimum-weight matching

Decoding algorithms for surface codes

Data-driven decoding of quantum error correcting codes using graph neural networks

Optimization Tools for Distance-Preserving Flag Fault-Tolerant Error Correction

Entanglement Routing using Quantum Error Correction for Distillation


Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation


Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents


Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification

Towards Deep Learning Models Resistant to Adversarial Attacks

Ensemble Adversarial Training: Attacks and Defenses

Learning features for offline handwritten signature verification using deep convolutional neural networks

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE Transactions on Information Forensics and Security


GraphDTA: Predicting drug-target binding affinity with graph neural networks

GraphDTA: predicting drug–target binding affinity with graph neural networks

GraphDTA: prediction of drug–target binding affinity using graph convolutional networks

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Prediction of Drug-Target Affinity Using Attention Neural Network

International Journal of Molecular Sciences

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps


Human Pose Estimation in Real-World Metric Coordinates

BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking

BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking

GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild


Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams

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

Test-Time Model Adaptation with Only Forward Passes

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

BECoTTA: Input-dependent Online Blending of Experts for Continual
  Test-time Adaptation

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation


Transformer for Partial Differential Equations' Operator Learning

Scalable Transformer for PDE Surrogate Modeling

HAMLET: Graph Transformer Neural Operator for Partial Differential
  Equations

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs


Tianchi Competition "Forgeries and Forensics" Track 2

U-Net: Convolutional Networks for Biomedical Image Segmentation

Squeeze-and-Excitation Networks

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks

MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection

ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization


This is the GitHub page for publicly available emotional speech data.

Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

Emotional Voice Conversion: Theory, Databases and ESD

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


This is a package to access the ClimateSERV API


LUTNet: Rethinking Inference in FPGA Soft Logic

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference

Symposium on Field Programmable Gate Arrays


XTab: Cross-table Pretraining for Tabular Transformers

Unlocking the Transferability of Tokens in Deep Models for Tabular Data


FastClassification is a tensorflow toolbox for class classification. It provides a training module with various backbones and training tricks towards state-of-the-art class classification.

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

RandAugment: Practical automated data augmentation with a reduced search space

AutoAugment: Learning Augmentation Policies from Data

Sharpness-Aware Minimization for Efficiently Improving Generalization


SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

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

CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80

Advancing Surgical VQA with Scene Graph Knowledge


The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

A Practical Guide to Logical Access Voice Presentation Attack Detection

System Fingerprint Recognition for Deepfake Audio: An Initial Dataset and Investigation


Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

High-Performance Large-Scale Image Recognition Without Normalization


A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and Transferability of Contextual Representations" (NAACL 2019).

Discovering Latent Concepts Learned in BERT

A Linguistic Study on Relevance Modeling in Information Retrieval

Discovering Salient Neurons in Deep NLP Models

Scaling up Discovery of Latent Concepts in Deep NLP Models


Compound Probabilistic Context-Free Grammars for Grammar Induction

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

International Conference on Computational Logic

Improved Latent Tree Induction with Distant Supervision via Span Constraints

Ensemble Distillation for Unsupervised Constituency Parsing

Using Roark-Hollingshead Distance to Probe BERT’s Syntactic Competence

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP


The carbon footprint models used by carbonfact.co


Grammarly Corpus of Discourse Coherence and accompanying code for discourse coherence models

Discourse Coherence in the Wild: A Dataset, Evaluation and Methods

Multi-Task Learning for Coherence Modeling

How coherent are neural models of coherence?

International Conference on Computational Linguistics

Countering the Influence of Essay Length in Neural Essay Scoring

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing

Neural RST-based Evaluation of Discourse Coherence

Incremental Neural Lexical Coherence Modeling


[RAL 2022 & ICRA 2023] TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation

Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior


Minimum Bayes Risk Decoding for Hugging Face Transformers

Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation

It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk

Linear-time Minimum Bayes Risk Decoding with Reference Aggregation

mbrs: A Library for Minimum Bayes Risk Decoding


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

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

On The Adversarial Robustness of 3D Point Cloud Classification

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

Predicting Choice with Set-Dependent Aggregation

Representing Unordered Data Using Complex-Weighted Multiset Automata


[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

TS2Vec: Towards Universal Representation of Time Series

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

A Survey on Time-Series Pre-Trained Models

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

A Co-training Approach for Noisy Time Series Learning

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

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals


PRedictor of IMmunogenic Epitopes

Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting

Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction

Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes

Computational cancer neoantigen prediction: current status and recent advances

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity


Collaborative genetic studies of idiopathic pulmonary fibrosis

Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis

Genome-wide association study across five cohorts identifies five novel loci associated with idiopathic pulmonary fibrosis

An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility

medRxiv : the preprint server for health sciences

Leveraging global multi-ancestry meta-analysis in the study of idiopathic pulmonary fibrosis genetics

Longitudinal lung function and gas transfer in individuals with idiopathic pulmonary fibrosis: a genome-wide association study

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv : the preprint server for biology

Reassessing the association of MUC5B with survival in idiopathic pulmonary fibrosis

Genetic liability of gut microbiota for idiopathic pulmonary fibrosis and lung function: a two-sample Mendelian randomization study

Frontiers in Cellular and Infection Microbiology

A Statistical Framework to Identify Cell Types Whose Genetically Regulated Proportions are Associated with Complex Diseases

Identifying potential drug targets for idiopathic pulmonary fibrosis: a mendelian randomization study based on the druggable genes


A tool for plotting CAFE5 gene family expansion/contraction result

Genome Assembly and Microsatellite Marker Development Using Illumina and PacBio Sequencing in the Carex pumila (Cyperaceae) from Korea

Highly Resolved Genomes of Two Closely Related Lineages of the Rodent Louse Polyplax serrata with Different Host Specificities

Comparative genomics reveals intra and inter species variation in the pathogenic fungus Batrachochytrium dendrobatidis


A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.

Latent Predictor Networks for Code Generation

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

Deep Learning Based Code Generation Methods: A Literature Review


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

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding

Non-Transferable Learning: A New Approach for Model Verification and Authorization.


AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

A Closer Look at Memorization in Deep Networks

Learning from Noisy Labels with Deep Neural Networks: A Survey

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels


Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Availability Attacks Create Shortcuts

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

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Indiscriminate Poisoning Attacks Are Shortcuts.


SSE-PT: Sequential Recommendation Via Personalized Transformer

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

Temporal Collaborative Ranking Via Personalized Transformer


RGB-T Image Saliency Detection via Collaborative Graph Learning

RGBT Salient Object Detection: A Large-scale Dataset and Benchmark

A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach

Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection


Meta-Storms 2 is the standalone implementation of the Microbiome Search Engine (MSE; http://mse.ac.cn).  This is the official software repository of Meta-Storms 2.

Multiple-Disease Detection and Classification across Cohorts via Microbiome Search

Microbiome Search Engine 2: a Platform for Taxonomic and Functional Search of Global Microbiomes on the Whole-Microbiome Level

A Scale-Free, Fully Connected Global Transition Network Underlies Known Microbiome Diversity


Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

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

ELECTRAMed: a new pre-trained language representation model for biomedical NLP


Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

Deep Learning on Multi Sensor Data for Counter UAV Applications—A Systematic Review

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities


Automated Machine Learning on Graphs: A Survey

AutoGL: A Library for Automated Graph Learning

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search


Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands


Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning

International Conference on Machine Learning

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


Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

Is Homophily a Necessity for Graph Neural Networks?

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

How does Heterophily Impact the Robustness of Graph Neural Networks?

Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Unsupervised Network Embedding Beyond Homophily

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Improving Signed Propagation for Graph Neural Networks


The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics


code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

IEEE Transactions on Geoscience and Remote Sensing

3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification

Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification

3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification.


Bayesian Adaptive Kernel Smoother

Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS)

Electro-optical mechanically flexible coaxial microprobes for minimally invasive interfacing with intrinsic neural circuits


Dogs classification with Deep Metric Learning

FaceNet: A Unified Embedding for Face Recognition and Clustering

No Fuss Distance Metric Learning using Proxies

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Proxy Anchor Loss for Deep Metric Learning

A new dataset of dog breed images and a benchmark for finegrained classification


The Third DIHARD Diarization Challenge

Domain-Dependent Speaker Diarization for the Third DIHARD Challenge


Coresets via Bilevel Optimization

Coresets via Bilevel Optimization for Continual Learning and Streaming

Semi-supervised Batch Active Learning via Bilevel Optimization

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints


Code accompanying the notMIWAE paper

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

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


A nonlinear interpolating tool based on ANN

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

The Astrophysical Journal Supplement Series

Machine Learning the Cosmic Curvature in a Model-independent Way

Monthly Notices of the Royal Astronomical Society

Neural network reconstruction of late-time cosmology and null tests

On the Robustness of the Constancy of the Supernova Absolute Magnitude: Non-Parametric Reconstruction & Bayesian Approaches

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

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

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

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

Neural network reconstruction of cosmology using the Pantheon compilation

Neural network reconstruction of scalar-tensor cosmology


Tools for haplotype-wise reconstruction of pseudomolecules

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Diploid chromosome-scale assembly of the Muscadinia rotundifolia genome supports chromosome fusion and disease resistance gene expansion during Vitis and Muscadinia divergence

Assembly of complete diploid-phased chromosomes from draft genome sequences

Characterization of the grape powdery mildew genetic resistance loci in Muscadinia rotundifolia Trayshed


Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass

LightFF: Lightweight Inference for Forward-Forward Algorithm


Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling

Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Private Federated Statistics in an Interactive Setting


[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

Graph-based Molecular Representation Learning

Learning Invariant Molecular Representation in Latent Discrete Space


An object-aware diffusion model for generating chemical reactions

Equivariant Diffusion for Molecule Generation in 3D

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

Structure-based Drug Design with Equivariant Diffusion Models

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

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


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

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

Genetic influences on circulating retinol and its relationship to human health

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


An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps

A Geometric Perspective on Diffusion Models

On the Trajectory Regularity of ODE-based Diffusion Sampling


GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design


TuRnIng POint Dataset

Movie Plot Analysis via Turning Point Identification

Screenplay Summarization Using Latent Narrative Structure

Movie Summarization via Sparse Graph Construction

Film Trailer Generation via Task Decomposition

Actionable Entities Recognition Benchmark for Interactive Fiction


Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

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

Deep contextualized word representations

Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages

CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos

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

Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering

Introspective Distillation for Robust Question Answering

Adaptive loose optimization for robust question answering


Fast Multipole Method (FMM) library in R^2

A fast integral equation method for the two-dimensional Navier-Stokes equations

Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects

Conformal Mapping via a Density Correspondence for the Double-Layer Potential

Simulation of Multiscale Hydrophobic Lipid Dynamics via Efficient Integral Equation Methods

Spectrally accurate solutions to inhomogeneous elliptic PDE in smooth geometries using function intension

An FMM Accelerated Poisson Solver for Complicated Geometries in the Plane using Function Extension

Numerical computation of the roots of Mandelbrot polynomials: an experimental analysis


Experiment for lsat

Holistic Evaluation of Language Models

From LSAT: The Progress and Challenges of Complex Reasoning

AR-LSAT: Investigating Analytical Reasoning of Text

DataComp-LM: In search of the next generation of training sets for
  language models

Analytical Reasoning of Text

Findings of the Association for Computational Linguistics: NAACL 2022


Demo code for the paper STC2 which released three short text datasets for clustering and classification

Self-Taught Convolutional Neural Networks for Short Text Clustering

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

Short Text Clustering via Convolutional Neural Networks

North American Chapter of the Association for Computational Linguistics

Attentive Representation Learning with Adversarial Training for Short Text Clustering

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification

Short Text Embedding Autoencoders With Attention-Based Neighborhood Preservation


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

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

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


propositional satisfiability problem (SAT) goes neural and deep

Graph Attention Networks

PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis


Code for paper: AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

On the Robustness of Deep K-Nearest Neighbors


Publicly available code from my publications

Machine Learning for Causal Inference: On the Use of Cross-fit Estimators

Transportability Without Positivity: A Synthesis of Statistical and Simulation Modeling

Synthesis estimators for positivity violations with a continuous covariate

Bridged treatment comparisons: an illustrative application in HIV treatment

Empirical sandwich variance estimator for iterated conditional expectation g-computation


AskUbuntu Question Dataset

Rationalizing Neural Predictions

MTEB: Massive Text Embedding Benchmark

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

End-to-End Retrieval in Continuous Space

Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval


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

Matching Networks for One Shot Learning

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


Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions

Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation

Training, Architecture, and Prior for Deterministic Uncertainty Methods


Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"

Improving Mini-batch Optimal Transport via Partial Transportation

A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods


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

Investigating Monolingual and Multilingual BERT Models for Vietnamese Aspect Category Detection

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese

ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing

ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites


A light-weight tool for converting CAD drawings into the GDML format.

Internal alignment and position resolution of the silicon tracker of DAMPE determined with orbit data

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

Reconstruction software of the silicon tracker of DAMPE mission

Efficient determination of HPGe γ-ray efficiencies at high energies with ready-to-use simulation software


Codes to process and train LIMUC dataset

Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation

Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning

Labeled Images for Ulcerative Colitis (LIMUC) Dataset

Zenodo (CERN European Organization for Nuclear Research)


Sux4J is an effort to bring succinct data structures to Java.

RecSplit: Minimal Perfect Hashing via Recursive Splitting

PTHash: Revisiting FCH Minimal Perfect Hashing

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

c-trie++: A Dynamic Trie Tailored for Fast Prefix Searches

Parallel and External-Memory Construction of Minimal Perfect Hash Functions With PTHash

Constructing Minimal Perfect Hash Functions Using SAT Technology


Creative Commons Attribution Share Alike 4.0 International

A Simulated Optimal Intrusion Response Game

Learning Intrusion Prevention Policies through Optimal Stopping

Intrusion Prevention Through Optimal Stopping

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers

Learning Security Strategies through Game Play and Optimal Stopping


The Sound Demixing Challenge 2023 x2013 Music Demixing Track

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

The Sound Demixing Challenge 2023 x2013 Cinematic Demixing Track

Benchmarks and leaderboards for sound demixing tasks


Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Definitions, methods, and applications in interpretable machine learning

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

Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis

A Typology for Exploring the Mitigation of Shortcut Behavior

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees

Interpreting and improving deep-learning models with reality checks


Miscellaneous scripts

Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals

An RxLR Effector from Phytophthora infestans Prevents Re-localisation of Two Plant NAC Transcription Factors from the Endoplasmic Reticulum to the Nucleus

A Year of Infection in the Intensive Care Unit: Prospective Whole Genome Sequencing of Bacterial Clinical Isolates Reveals Cryptic Transmissions and Novel Microbiota

Bacillus wiedmannii sp. nov., a psychrotolerant and cytotoxic Bacillus cereus group species isolated from dairy foods and dairy environments

International journal of systematic and evolutionary microbiology

Genomic and proteomic evidences unravel the UV-resistome of the poly-extremophile Acinetobacter sp. Ver3

Lactococcus petauri sp. nov., isolated from an abscess of a sugar glider

Functional Genomics Insights Into the Pathogenicity, Habitat Fitness, and Mechanisms Modifying Plant Development of Rhodococcus sp. PBTS1 and PBTS2

Phylogenomic Analyses of Bradyrhizobium Reveal Uneven Distribution of the Lateral and Subpolar Flagellar Systems, Which Extends to Rhizobiales

A molecular phylogenetic framework for Bacillus subtilis using genome sequences and its application to Bacillus subtilis subspecies stecoris strain D7XPN1, an isolate from a commercial food-waste degrading bioreactor

Integrative and Conjugative Elements of Helicobacter pylori Are Hypothetical Virulence Factors Associated With Gastric Cancer

Frontiers in cellular and infection microbiology


When LLMs Meet Cybersecurity: A Systematic Literature Review

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

SECURE: Benchmarking Large Language Models for Cybersecurity


Modelling simple atoms and 87Rb in cavity-QED.

Pushing Purcell enhancement beyond its limits

Nonlinear Zeeman effects in the cavity-enhanced emission of polarised photons

Polarization Oscillations in Birefringent Emitter-Cavity Systems


Generates initial conditions for cosmological N-body simulations, optionally applying Particle Linear Theory corrections.

ABACUSSUMMIT: a massive set of high-accuracy, high-resolution N-body simulations

Monthly notices of the Royal Astronomical Society

The Abacus Cosmos: A Suite of Cosmological N-body Simulations

Improving initial conditions for cosmological N-body simulations

The  Cosmological N-body Code

A fast semidiscrete optimal transport algorithm for a unique reconstruction of the early Universe

The DESI N-body Simulation Project I: Testing the Robustness of
  Simulations for the DESI Dark Time Survey

Isolating the linear signal when making redshift space distortion measurements

CLASS-OneLoop: accurate and unbiased inference from spectroscopic galaxy surveys


Source code and data used in the papers ViQuAE (Lerner et al., SIGIR'22), Multimodal ICT (Lerner et al., ECIR'23) and Cross-modal Retrieval (Lerner et al., ECIR'24)

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities

Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering

Cross-modal Retrieval for Knowledge-based Visual Question Answering

Un jeu de données pour répondre à des questions visuelles à propos d’entités nommées en utilisant des bases de connaissances

HAL (Le Centre pour la Communication Scientifique Directe)


extract 454 Genome Sequencer reads from a SFF file and convert them into a FASTQ formatted output

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies

Next Generation Diagnostics in Inherited Arrhythmia Syndromes

Journal of cardiovascular translational research

Exploring the Genomic Traits of Non-toxigenic Vibrio parahaemolyticus Strains Isolated in Southern Chile

Characterisation of Genetic Variation in ST8SIA2 and Its Interaction Region in NCAM1 in Patients with Bipolar Disorder

Predominant Biphenyl Dioxygenase From Legacy Polychlorinated Biphenyl (PCB)-Contaminated Soil Is a Part of Unusual Gene Cluster and Transforms Flavone and Flavanone


N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Non-autoregressive Conditional Diffusion Models for Time Series Prediction

The Rise of Diffusion Models in Time-Series Forecasting


[CVPR 2024] Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders

trajdata: A Unified Interface to Multiple Human Trajectory Datasets

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder
  and Actor-specific Token Memory


MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction

MOLI: multi-omics late integration with deep neural networks for drug response prediction

Machine learning for multi-omics data integration in cancer

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction


R package for Brazilian reservoirs data


Here we share the NTU datasets to all the researchers who are working on biometrics and forensics field.

Palmprint Recognition in Uncontrolled and Uncooperative Environment

IEEE Transactions on Information Forensics and Security

A Study on Wrist Identification for Forensic Investigation

The Nipple-Areola Complex for Criminal Identification


Adversarial Deep Network Embedding for Cross-network Node Classification

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE Transactions on Network Science and Engineering

Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy


Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)

Conformal prediction for time series

Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data

Conformal prediction set for time-series


Pan cancer summary statistics from meta analyses of UK Biobank and Kaiser GERA cohorts.

GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer

GWAS meta-analysis and gene expression data link reproductive tract development, immune response and cellular proliferation/apoptosis with cervical cancer and clarify overlap with other cervical phenotypes


(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

Oriented R-CNN for Object Detection

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Large Selective Kernel Network for Remote Sensing Object Detection


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

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

Rapid Earthquake Association and Location

Deep Learning for Picking Seismic Arrival Times

Journal of Geophysical Research: Solid Earth

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

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


Official Git repository of R package netmeta

CINeMA: An approach for assessing confidence in the results of a network meta-analysis

Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis

The Comparative Efficacy of Chlorhexidine Gluconate and Povidone-iodine Antiseptics for the Prevention of Infection in Clean Surgery

A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials Evaluating the Evidence Base of Melatonin, Light Exposure, Exercise, and Complementary and Alternative Medicine for Patients with Insomnia Disorder

Safety and Outcomes of Different Surgical Techniques for Cubital Tunnel Decompression

The Effect of Non-Nutritive Sweetened Beverages on Postprandial Glycemic and Endocrine Responses: A Systematic Review and Network Meta-Analysis

Medications for the treatment of pulmonary arterial hypertension: a systematic review and network meta-analysis

European respiratory review : an official journal of the European Respiratory Society

The maximum phonation time as marker for voice treatment efficacy: A network meta‐analysis

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery

Comparative Efficacy of Pharmacological and Nonpharmacological Interventions for Acne Vulgaris: A Network Meta-Analysis

Network meta-analysis and random walks


A library that makes Evolutionary Strategies (ES) simple to use.

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Minimal Neural Network Models for Permutation Invariant Agents

Proceedings of the Genetic and Evolutionary Computation Conference

Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning


Biological Age Calculations Using Several Biomarker Algorithms

DunedinPACE, a DNA methylation biomarker of the pace of aging

A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge

Accelerated biological aging and risk of depression and anxiety: evidence from 424,299 UK Biobank participants

Effect of dietary inflammatory potential on the aging acceleration for cardiometabolic disease: A population-based study

Blood-based biological ageing and red cell distribution width are associated with prevalent Parkinson’s disease: findings from a large Italian population cohort

Early-life tobacco smoke exposure and stroke risk: a prospective study of 341,783 and 352,737 UK Biobank participants


Implementation of Glow in PyTorch

Glow: Generative Flow with Invertible 1x1 Convolutions

On Out-of-distribution Detection with Energy-based Models

Semantic Perturbations with Normalizing Flows for Improved Generalization

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Flow Based Models For Manifold Data.

Spread Flows for Manifold Modelling

One Reflection Suffice

Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers


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

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

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

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

Data-Centric Machine Learning in the Legal Domain


Episodic Control

Neural Episodic Control

Model-Free Episodic Control

Successor Feature Neural Episodic Control

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control


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

A Constraint-based Encoding for Domain-Independent Temporal Planning

Principles and Practice of Constraint Programming

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

HDDL 2.1: Towards Defining an HTN Formalism with Time


Code and resources for evaluating cross-lingual embedding spaces

A Survey Of Cross-lingual Word Embedding Models

Probing Pretrained Language Models for Lexical Semantics

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

Improving Word Translation via Two-Stage Contrastive Learning

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

Filtered Inner Product Projection for Crosslingual Embedding Alignment

On Bilingual Lexicon Induction with Large Language Models

Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization

Proceedings of the 1st Workshop on Multilingual Representation Learning


Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)

Formal Specifications from Natural Language

Neural Circuit Synthesis from Specification Patterns


Further improve robustness of mixup-trained models in inference (ICLR 2020)

Identity Mappings in Deep Residual Networks

mixup: Beyond Empirical Risk Minimization

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

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

Unifying Gradients to Improve Real-World Robustness for Deep Networks


Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Deep Reinforcement Learning: An Overview

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility


Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots

International ACM SIGIR Conference on Research and Development in Information Retrieval

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset


Multi-Template Mouse Brain MRI Atlas (MBMA): both in-vivo and ex-vivo

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


a snow data network (SNOTEL) R package


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

Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures


The official Talk2Car dataset repo

Talk2Car: Taking Control of Your Self-Driving Car

Empirical Methods in Natural Language Processing

A Baseline for the Commands For Autonomous Vehicles Challenge

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary


satMiner: A Toolkit to NGS satellite DNA mining and analysis

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

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

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

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

International journal of molecular sciences

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


Analyze antibody repertoires and discover new V genes from high-throughput sequencing reads

Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

Germline polymorphisms and alternative splicing of human immunoglobulin light chain genes

Detecting pathogenic variants in autoimmune diseases using high‐throughput sequencing

VDJ Gene Usage in IgM Repertoires of Rhesus and Cynomolgus Macaques


RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

Review of the NIST Light-weight Cryptography Finalists

An Evaluation of the Multi-platform Efficiency of Lightweight Cryptographic Permutations

Lightweight Permutation-Based Cryptography for the Ultra-Low-Power Internet of Things


Module for opening, manipulating, and plotting mock galaxy images produced with SUNRISE

The illustris simulation: Public data release

Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation

Monthly Notices of the Royal Astronomical Society

SpArcFiRe: morphological selection effects due to reduced visibility of tightly winding arms in distant spiral galaxies


Feature Importance Ranking for Deep Learning

Kernel Feature Selection via Conditional Covariance Minimization

High-dimensional feature selection for genomic datasets


code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

Video Reenactment as Inductive Bias for Content-Motion Disentanglement

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations


Quantum machine learning of graph-structured data

Application of deep quantum neural networks to finance

Dissipative quantum generative adversarial networks

Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks


Metamodeling, sensitivity analysis and visualization using the tensor train format

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Foundations and Trends® in Machine Learning

Tensor Approximation of Advanced Metrics for Sensitivity Analysis

Visualization of High-dimensional Scalar Functions Using Principal Parameterizations


(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

Deep Structural Causal Models for Tractable Counterfactual Inference

Measuring axiomatic soundness of counterfactual image models


Industry-Energy-Tool-(IET)


YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension

YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos

Language Guided Networks for Cross-modal Moment Retrieval

Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding


The ACL RD-TEC 2.0: A corpus of annotated terms in context from domain of computational linguistics

SemRe-Rank

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

International Conference on Computational Linguistics

SemRe-Rank: Incorporating Semantic Relatedness to Improve Automatic Term Extraction Using Personalized PageRank.


Long Text Generation via Adversarial Training with Leaked Information

Language Generation with Recurrent Generative Adversarial Networks without Pre-training

Text Generation Based on Generative Adversarial Nets with Latent Variable


Mathematica package for Clifford (geometric) algebra calculations

On computing the determinant, other characteristic polynomial coefficients, and inverse in Clifford algebras of arbitrary dimension

Exponentials of general multivector in 3D Clifford algebras

The characteristic polynomial in calculation of exponential and elementary functions in Clifford algebras

Inverse of multivector: Beyond p+q=5 threshold

Basis-Free Formulas for Characteristic Polynomial Coefficients in Geometric Algebras

Square root of a multivector of Clifford algebras in 3D: A game with signs

Logarithm of multivector in real 3D Clifford algebras


Graph-based Dependency Parser

It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool

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

Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing

High-Order Low-Rank Tensors for Semantic Role Labeling

North American Chapter of the Association for Computational Linguistics

RACAI's Natural Language Processing pipeline for Universal Dependencies

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from
          Raw Text to Universal Dependencies

Parsing Paraphrases with Joint Inference

The Association for Computational Linguistics

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing

Conference of the European Chapter of the Association for Computational Linguistics


An R package for modelling sediment archived climate proxy records.

Sedproxy: a forward model for sediment-archived climate proxies


Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Deep Learning on Graphs: A Survey

Deep Graph Contrastive Representation Learning

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

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

Message Passing Neural Processes

Effective Semi-Supervised Node Classification on Few-Labeled Graph Data

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

Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks


A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

Directed Acyclic Graph Neural Networks

Tree Decomposed Graph Neural Network

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks


Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

Explaining and Harnessing Adversarial Examples

Delving into Transferable Adversarial Examples and Black-box Attacks

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


Reproduce CheXNet

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

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

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset

An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images

Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification

Learning Visual Context by Comparison

Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic

International journal of medical informatics

Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging

Secure deep learning for distributed data against maliciouscentral server


An R package to detect collective spatio-temporal phenomena

Propagating Wave of ERK Activation Orients Collective Cell Migration

ERK-mediated mechanochemical waves direct collective cell polarization

Control of osteoblast regeneration by a train of Erk activity waves

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

Calcium Wave Promotes Cell Extrusion

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

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


Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane


The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency".

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


A toolkit for analyzing and visualizing phylogenetic (placement) data

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples

Methods for automatic reference trees and multilevel phylogenetic placement

From microbial community structure to metabolic inference using paprica


StaQC: a systematically mined dataset containing around 148K Python and 120K SQL domain question-code pairs, as described in "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow" (WWW'18)

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

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent


Dependency Parsing as Sequence Labeling

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

Viable Dependency Parsing as Sequence Labeling

Bracketing Encodings for 2-Planar Dependency Parsing

A Unifying Theory of Transition-based and Sequence Labeling Parsing

A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021

The Fragility of Multi-Treebank Parsing Evaluation


中文自然语言推理数据集（A large-scale Chinese Nature language inference and Semantic similarity calculation Dataset）

Collective Human Opinions in Semantic Textual Similarity

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning


RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

RobustBench: a standardized adversarial robustness benchmark

Reveal of Vision Transformers Robustness against Adversarial Attacks

Efficient Robust Training via Backward Smoothing

Evading Black-box Classifiers Without Breaking Eggs


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

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

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


Factorial Mass Univariate ERP Toolbox (FMUT)

Perceived Gaze Direction Differentially Affects Discrimination of Facial Emotion, Attention, and Gender – An ERP Study

Impact of acute psychosocial stress on attentional control in humans. A study of evoked potentials and pupillary response

The Neural Correlates of Conflict Detection and Resolution During Multiword Lexical Selection: Evidence from Bilinguals and Monolinguals


A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

A Re-evaluation of Knowledge Graph Completion Methods

GreenKGC: A Lightweight Knowledge Graph Completion Method


multiplicatively convolutional fast integral transforms implementing FFTLog

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

Consistent modeling of velocity statistics and redshift-space distortions in one-loop perturbation theory

Journal of Cosmology and Astroparticle Physics

Galaxy power-spectrum responses and redshift-space super-sample effect

Robustness of baryon acoustic oscillation constraints for early-Universe modifications ofΛCDMcosmology

Disconnected covariance of 2-point functions in large-scale structure

DES Y3 cosmic shear down to small scales: Constraints on cosmology and baryons

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

The reconstructed power spectrum in the Zeldovich approximation

What does the marked power spectrum measure? Insights from perturbation theory

An Effective Model for the Cosmic-Dawn 21-cm Signal


Human Pangenome Reference Consortium - HG002 Data Freeze (v1.0)

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

Curated variation benchmarks for challenging medically relevant autosomal genes

Extended haplotype-phasing of long-read de novo genome assemblies using Hi-C

Accelerating Minimap2 for Accurate Long Read Alignment on GPUs

DeepTrio: Variant Calling in Families Using Deep Learning

An Extensive Sequence Dataset of Gold-Standard Samples for Benchmarking and Development


Multilingual Quality Estimation and Automatic Post-editing Dataset

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

Quality Estimation without Human-labeled Data

Translation Error Detection as Rationale Extraction

Bias Mitigation in Machine Translation Quality Estimation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages


ROS-based software framework for the igus Humanoid Open Platform.

Child-sized 3D Printed igus Humanoid Open Platform

NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

RoboCup 2016 Humanoid TeenSize Winner NimbRo: Robust Visual Perception and Soccer Behaviors

Grown-Up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions

The igus Humanoid Open Platform: A Child-sized 3D Printed Open-Source Robot for Research

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

Bipedal Walking with Corrective Actions in the Tilt Phase Space

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks


A library of ultrasoft and PAW pseudopotentials

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

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

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

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

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

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

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

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

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

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

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


End-to-end RNA Design using deep reinforcement learning

Proximal Policy Optimization Algorithms

Learning to Design RNA

Fourier Representations for Black-Box Optimization over Categorical Variables


Structural variant pipeline

From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

Comprehensive structural variation genome map of individuals carrying complex chromosomal rearrangements

Replicative and non-replicative mechanisms in the formation of clustered CNVs are indicated by whole genome characterization

Mutations in COL1A1/A2 and CREB3L1 are associated with oligodontia in osteogenesis imperfecta

Predisposition to childhood acute lymphoblastic leukemia caused by a constitutional translocation disrupting ETV6

Whole genome sequencing unveils genetic heterogeneity in optic nerve hypoplasia

Chromoanagenesis Event Underlies a de novo Pericentric and Multiple Paracentric Inversions in a Single Chromosome Causing Coffin–Siris Syndrome

pyCancerSig: subclassifying human cancer with comprehensive single nucleotide, structural and microsatellite mutational signature deconstruction from whole genome sequencing

Loqusdb: added value of an observations database of local genomic variation

A somatic UBA2 variant preceded ETV6-RUNX1 in the concordant BCP-ALL of monozygotic twins


This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".

Dense Passage Retrieval for Open-Domain Question Answering

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation

SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering

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

Synthetic Cross-language Information Retrieval Training Data


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

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

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

Self-supervised Light Field View Synthesis Using Cycle Consistency


Python module for simulating gossip learning.

Decentralized Federated Learning: A Segmented Gossip Approach

Gossip Learning with Linear Models on Fully Distributed Data

Concurrency and Computation: Practice and Experience

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Decentralized learning works: An empirical comparison of gossip learning and federated learning

Journal of Parallel and Distributed Computing

Decentralized Federated Learning: Balancing Communication and Computing Costs

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I

Gossip Learning: Off the Beaten Path

Token Account Algorithms: The Best of the Proactive and Reactive Worlds

International Conference on Distributed Computing Systems


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

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

KLUE: Korean Language Understanding Evaluation

Open Korean Corpora: A Practical Report

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

A Survey on Awesome Korean NLP Datasets

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

Proceedings of the 1st Workshop on Multilingual Representation Learning


On Automating the Doctrine of Double Effect

Toward the Engineering of Virtuous Machines

On Quantified Modal Theorem Proving for Modeling Ethics

Qualitative Mechanical Problem-Solving by Artificial Agents:

The International FLAIRS Conference Proceedings


Convex potential flows

Masked Autoregressive Flow for Density Estimation

Sylvester Normalizing Flows for Variational Inference

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Learning with Stochastic Orders

ELF: Exact-Lipschitz Based Universal Density Approximator Flow


Building Radial Density Profiles for Interstellar Filaments

Filamentary Accretion Flows in the Infrared Dark Cloud G14.225–0.506 Revealed by ALMA

Dense gas kinematics and a narrow filament in the Orion A OMC1 region using NH_3

Like a spider in its web: a study of the large-scale structure around the Coma cluster

ALMA Observations of NGC 6334S. II. Subsonic and Transonic Narrow Filaments in a High-mass Star Formation Cloud

OGHReS: Large-scale filaments in the outer Galaxy

ALMA Uncovers Highly Filamentary Structure toward the Sgr E Region

The Giant Molecular Cloud G148.24+00.41: Gas Properties, Kinematics, and Cluster Formation at the Nexus of Filamentary Flows


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

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

TESS first look at evolved compact pulsators

Localizing Sources of Variability in Crowded TESS Photometry

Rubin Observatory LSST Transients and Variable Stars Roadmap

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

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

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

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

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


Naive Bayes SVM for Sentiment Analysis

Skip-Thought Vectors

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews


Robust Compressed Sensing MRI with Deep Generative Priors

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

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


Pretrained TorchVision models on CIFAR10 dataset (with weights)

Real-Time and Accurate Drone Detection in a Video with a Static Background

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Deep Ensembles Work, But Are They Necessary?

Learning-Augmented k-means Clustering

Stationary Activations for Uncertainty Calibration in Deep Learning

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders

Training Unbiased Diffusion Models From Biased Dataset

A2: Efficient Automated Attacker for Boosting Adversarial Training

Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning


FERRE matches physical models to measurements

Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

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

The Astrophysical Journal Supplement Series

APOGEE Data and Spectral Analysis from SDSS Data Release 16: Seven Years of Observations Including First Results from APOGEE-South

APOGEE Data Releases 13 and 14: Data and Analysis

APOGEE Data Releases 13 and 14: Stellar Parameter and Abundance Comparisons with Independent Analyses

The chemical characterisation of halo substructure in the Milky Way based on APOGEE

Elevated r-process enrichment in Gaia Sausage and Sequoia

The Pristine survey VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates

Monthly Notices of the Royal Astronomical Society

A collection of model stellar spectra for spectral types B to early-M

Metallicity and α-Element Abundance Gradients along the Sagittarius Stream as Seen by APOGEE


Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning

International Joint Conference on Neural Network

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning


Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Bayesian Active Learning for Sim-to-Real Robotic Perception

BABA: Beta Approximation for Bayesian Active Learning.


A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

Construction of the Literature Graph in Semantic Scholar

Content-Based Citation Recommendation

Navigation-based candidate expansion and pretrained language models for citation recommendation

Learning Neural Textual Representations for Citation Recommendation


Gaussian processes and Bayesian optimization for images and hyperspectral data

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control

Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Bayesian optimization in continuous spaces via virtual process embeddings

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy

Gaussian process analysis of Electron Energy Loss Spectroscopy (EELS) data: parallel reconstruction and kernel control.


Benchmark for Temporal Fact Validation

Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web

Knowledge Graph Validation

Towards Knowledge Graphs Validation through Weighted Knowledge Sources

Benchmarking Knowledge Graphs on the Web


Code for "Neural causal learning from unknown interventions"

Learning Neural Causal Models from Unknown Interventions

Learning Neural Causal Models with Active Interventions

On the Generalization and Adaption Performance of Causal Models


goscanner is a tool for large-scale TLS and SSH scans

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Packed to the Brim: Investigating the Impact of Highly Responsive Prefixes on Internet-wide Measurement Campaigns


DCEKit (Data Chemical Engineering toolKit)

Cross‐validated permutation feature importance considering correlation between features

Interpretation of Machine Learning Models for Data Sets with Many Features Using Feature Importance

Molecular Descriptors, Structure Generation, and Inverse QSAR/QSPR Based on SELFIES

Genetic Algorithm-Based Partial Least-Squares with Only the First Component for Model Interpretation

True Gaussian mixture regression and genetic algorithm-based optimization with constraints for direct inverse analysis

Science and Technology of Advanced Materials: Methods

Support vector regression that takes into consideration the importance of explanatory variables

Development of Prediction Models for the Self-Accelerating Decomposition Temperature of Organic Peroxides

Predictive Modeling of HMG-CoA Reductase Inhibitory Activity and Design of New HMG-CoA Reductase Inhibitors


Hessian spectral density estimation in TF and Jax

Sharpness-Aware Minimization for Efficiently Improving Generalization

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density

The instabilities of large learning rate training: a loss landscape view


Database of galactic novae

A Population of Heavily Reddened, Optically Missed Novae from Palomar Gattini-IR: Constraints on the Galactic Nova Rate

The first nova eruption in a novalike variable: YZ Ret as seen in X-rays and gamma-rays

Searching the SETI Ellipsoid with Gaia


Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

eCeLLM: Generalizing Large Language Models for E-commerce from
  Large-scale, High-quality Instruction Data

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy

Fairness in Ranking under Disparate Uncertainty


Spectral Generation Package

ProSpect: generating spectral energy distributions with complex star formation and metallicity histories

JWST PEARLS. Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

Galaxy And Mass Assembly (GAMA): a forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type

From the far-ultraviolet to the far-infrared – galaxy emission at 0 ≤ z ≤ 10 in the shark semi-analytic model

Monthly notices of the Royal Astronomical Society

Physical properties and evolution of (sub-)millimetre-selected galaxies in the galaxy formation simulation shark

H I asymmetries in LVHIS, VIVA, and HALOGAS galaxies

GAMA/DEVILS: constraining the cosmic star formation history from improved measurements of the 0.3–2.2 μm extragalactic background light

Unveiling the atomic hydrogen-halo mass relation via spectral stacking

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations

PKS 2250-351: A giant radio galaxy in Abell 3936

Publications of the Astronomical Society of Australia


Code base for profiling highly replicated differential gene expression RNA-seq.

Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products

Information-Content-Informed Kendall-tau Correlation: Utilizing Missing Values


A unified framework for Low-resource Audio Processing and Evaluation (SSL Pre-training and Downstream Fine-tuning)

DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning

MAST: Multiscale Audio Spectrogram Transformers

SLICER: Learning Universal Audio Representations Using Low-Resource Self-Supervised Pre-Training