The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Behavioral Use Licensing for Responsible AI

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

When Fair Classification Meets Noisy Protected Attributes

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits


Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

MetaQA: Combining Expert Agents for Multi-Skill Question Answering

MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering


A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation

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

Learning to Navigate

1st International Workshop on Multimodal Understanding and Learning for Embodied Applications

A Framework for Learning to Request Rich and Contextually Useful Information from Humans

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

Proceedings of the Third International Workshop on Spatial Language Understanding


Open source atmosphere-ocean gas flux data processing tools. Example uses i) calculating global/regional gas fluxes and net integrated values using satellite Earth, model or in situ data (or any combination), ii) uncertainty analyses (eg ensemble runs, input data uncertainty, model uncertainty), iii) evaluating novel gas transfer parameterisations.

FluxEngine: A flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies

Journal of Atmospheric and Oceanic Technology

The FluxEngine air–sea gas flux toolbox: simplified interface and extensions for in situ analyses and multiple sparingly soluble gases


Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)

Automated Phrase Mining from Massive Text Corpora

Learning Dense Representations of Phrases at Scale

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations


Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Generalizing Word Embeddings using Bag of Subwords

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

Subword-based Compact Reconstruction of Word Embeddings

North American Chapter of the Association for Computational Linguistics


A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones

An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs

International Conference on Distributed Computing in Sensor Systems

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


"Independent Component Analysis of BIg Omics Data"

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

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

International journal of molecular sciences

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

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

Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes

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

European psychiatry : the journal of the Association of European Psychiatrists

Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis

Multi-omics characterization reveals the pathogenesis of liver focal nodular hyperplasia


This is a  paper list about Machine Learning for IDSes

A Deep Learning Approach for Network Intrusion Detection System

Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks

Intrusion detection using reduced-size RNN based on feature grouping

A Semantic Parsing Based LSTM Model for Intrusion Detection

NEURAL INFORMATION PROCESSING (ICONIP 2018), PT IV


Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression

Learning to Reach Goals via Diffusion

Swapped goal-conditioned offline reinforcement learning


Meta-Learning with Implicit Gradients

Deep Equilibrium Models

Bilevel Optimization: Convergence Analysis and Enhanced Design

On the Iteration Complexity of Hypergradient Computation

On the Convergence Theory for Hessian-Free Bilevel Algorithms

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.

Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis

Nonsmooth Implicit Differentiation: Deterministic and Stochastic
  Convergence Rates


To analyze and remove gender bias in coreference resolution systems

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Sustainable Modular Debiasing of Language Models

Algorithmic fairness datasets: the story so far

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

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

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal

Conceptor Debiasing of Word Representations Evaluated on WEAT

Towards Understanding Gender Bias in Relation Extraction

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment

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

The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations

Proceedings of the First Workshop on Gender Bias in Natural Language Processing


Analysis and Visualization of Ribosome Profiling Data

A tRNA modification balances carbon and nitrogen metabolism by regulating phosphate homeostasis

riboviz: analysis and visualization of ribosome profiling datasets

Ribosomal stalk proteins RPLP1 and RPLP2 promote biogenesis of flaviviral and cellular multi-pass transmembrane proteins

The LIN28B–IMP1 post-transcriptional regulon has opposing effects on oncogenic signaling in the intestine


Benchmark Suite for Machine Learning Interatomic Potentials for Materials

Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials

Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

The MLIP package: Moment Tensor Potentials with MPI and Active Learning

Scaling deep learning for materials discovery

Through the eyes of a descriptor: Constructing complete, invertible descriptions of atomic environments

Compact atomic descriptors enable accurate predictions via linear models

Implementing a neural network interatomic model with performance portability for emerging exascale architectures

Spline-based neural network interatomic potentials: blending classical and machine learning models


Automated generation of NASA ADS bibtex entries directly from citation keys in your TeX source files

Beyond assembly bias: exploring secondary halo biases for cluster-size haloes

Monthly Notices of the Royal Astronomical Society

First Results from SMAUG: Characterization of Multiphase Galactic Outflows from a Suite of Local Star-forming Galactic Disk Simulations

Efficiently Cooled Stellar Wind Bubbles in Turbulent Clouds. I. Fractal Theory and Application to Star-forming Clouds

Turbulent Gas in Lensed Planck-selected Starbursts at z ∼ 1–3.5

Dark energy survey year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space

A Framework for Multiphase Galactic Wind Launching Using TIGRESS

Star Formation Laws and Efficiencies across 80 Nearby Galaxies

Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

Simulating intergalactic gas for DESI-like small scale Lymanαforest observations

Journal of Cosmology and Astroparticle Physics

Phase-Space Correlations Among Systems of Satellite Galaxies


Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

A Survey on Human-aware Robot Navigation

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems


Annotated Genome Optimization Using Transcriptome Information

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

AGOUTI: improving genome assembly and annotation using transcriptome data

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Three new genome assemblies of blue mussel lineages: North and South EuropeanMytilus edulisand MediterraneanMytilus galloprovincialis


PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

What is the State of Neural Network Pruning?

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

How I Learned to Stop Worrying and Love Retraining

Compression-aware Training of Neural Networks using Frank-Wolfe

Identifying Equivalent Training Dynamics


A PyTorch Graph Neural Network Library

Learning to Represent Programs with Graphs

Predicting multicellular function through multi-layer tissue networks

Structured Neural Summarization

Typilus: neural type hints

Programming Language Design and Implementation

JEMMA: An Extensible Java Dataset for ML4Code Applications


MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions.

Constraints on Cosmology and Baryonic Feedback with the Deep Lens Survey Using Galaxy–Galaxy and Galaxy–Mass Power Spectra

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

An Updated Mass–Radius Analysis of the 2017–2018 NICER Data Set of PSR J0030+0451

Zenodo (CERN European Organization for Nuclear Research)

Water in the terrestrial planet-forming zone of the PDS 70 disk

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

ULYSSES: Universal LeptogeneSiS Equation Solver

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Dark Energy Survey Year 3 results: Galaxy-halo connection from galaxy-galaxy lensing

KERN

Bayesian comparison of interacting modified holographic Ricci dark energy scenarios


GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Improving Out-of-Distribution Robustness via Selective Augmentation

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism

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

Identifying Semantic Component for Robust Molecular Property Prediction

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning


The obfourscator (Courtesy mirror)

A Survey of Key Technologies for Constructing Network Covert Channel

Systemization of Pluggable Transports for Censorship Resistance

Protocol Proxy: An FTE-based covert channel

Obfuscated Tor Traffic Identification Based on Sliding Window

Maybenot: A Framework for Traffic Analysis Defenses

PTPerf: On the Performance Evaluation of Tor Pluggable Transports

Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning

Bytes to Schlep? Use a FEP: Hiding Protocol Metadata with Fully
  Encrypted Protocols


The Model for Economic Tipping (point) Analysis

Economic impacts of melting of the Antarctic Ice Sheet


Chromatin contact paired-read single-cell Hi-C processing module for Nuc3D and NucTools

SCL: a lattice-based approach to infer 3D chromosome structures from single-cell Hi-C data

Calculation of 3D genome structures for comparison of chromosome conformation capture experiments with microscopy: An evaluation of single-cell Hi-C protocols

Live-cell three-dimensional single-molecule tracking reveals modulation of enhancer dynamics by NuRD

Enhancer-promoter interactions are reconfigured through the formation of long-range multiway hubs as mouse ES cells exit pluripotency


Syllable segmentation tool for Myanmar language (Burmese) by Ye.

UCSYNLP-Lab Machine Translation Systems for WAT 2019

Pacific Asia Conference on Language, Information, and Computation

Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition

International Conference on Intelligent Computing

Syllable-based Neural Named Entity Recognition for Myanmar Language

NECTEC’s Participation in WAT-2021


R package to interact with TERN AusPlots data

Applying conservation reserve design strategies to define ecosystem monitoring priorities

The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network


A collection of command line tools for working with sequencing data

mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease

VariantQC: a visual quality control report for variant evaluation

Rapid, accurate mapping of transgene integration in viable rhesus macaque embryos using enhanced-specificity tagmentation-assisted PCR

Molecular therapy. Methods & clinical development

A Multifunctional and Highly Adaptable Reporter System for CRISPR/Cas Editing


Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

ShapeWorld - A new test methodology for multimodal language understanding

Multimodality in Meta-Learning: A Comprehensive Survey

Deep learning evaluation using deep linguistic processing

SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming

Scalable Neural-Probabilistic Answer Set Programming


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

Designing Secure Ethereum Smart Contracts: A Finite State Machine Based Approach

VeriSolid: Correct-by-Design Smart Contracts for Ethereum

Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains

Tool Demonstration: FSolidM for Designing Secure Ethereum Smart Contracts


Unofficial implemention of lanenet model for real time lane detection

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Verifying Controllers With Vision-Based Perception Using Safe Approximate Abstractions

Perception Contracts for Safety of ML-Enabled Systems

Proceedings of the ACM on Programming Languages

GAS: Generating Fast and Accurate Surrogate Models for Autonomous Vehicle Systems


Java based tools for bulk downloading read/analysis files from ENA via FTP or Aspera.

The COMPARE Data Hubs

The European Nucleotide Archive in 2023

Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole genome sequences


DNA methylation studies of mammalian species

A mammalian methylation array for profiling methylation levels at conserved sequences

DNA methylation clocks tick in naked mole rats but queens age more slowly than nonbreeders

Multi-species and multi-tissue methylation clocks for age estimation in toothed whales and dolphins

Genetic loci and metabolic states associated with murine epigenetic aging

DNA methylation aging and transcriptomic studies in horses

DNA Methylation Networks Underlying Mammalian Traits

Epigenetic predictors of maximum lifespan and other life history traits in mammals

Divergent age-related methylation patterns in long and short-lived mammals

Epigenetic clock and methylation studies in dogs

MammalMethylClock R package: software for DNA Methylation-Based Epigenetic Clocks in Mammals


R Climate AEMET Tools


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

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

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

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


Tools to build deep learning pipelines.

Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

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

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

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

Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma

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

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

medRxiv : the preprint server for health sciences

Direct image to subtype prediction for brain tumors using deep learning


The new theme for the precious plastic site


A curated list of software and resources for exploring and visualizing (browsing) expression data

Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changes

Mapping the Mouse Cell Atlas by Microwell-Seq

Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry

A human liver cell atlas reveals heterogeneity and epithelial progenitors

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells

Human haematopoietic stem cell lineage commitment is a continuous process

The bone marrow microenvironment at single-cell resolution

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation

Giotto: a toolbox for integrative analysis and visualization of spatial expression data


Time series features

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Time Series Extrinsic Regression

Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity.

Improving the performance of deep learning models using statistical features: The case study of COVID‐19 forecasting

Mathematical methods in the applied sciences

Two-Step Meta-Learning for Time-Series Forecasting Ensemble

A Review of Open Source Software Tools for Time Series Analysis

Meta-Learning for Time Series Forecasting Ensemble.


The official repository for the deepSNV bioconductor packages. Branch master tracks the official Bioconductor development branch.

Prediction of acute myeloid leukaemia risk in healthy individuals

Extensive phylogenies of human development inferred from somatic mutations

Notch1 mutations drive clonal expansion in normal esophageal epithelium but impair tumor growth

Notch1 mutation drives clonal expansion in normal esophageal epithelium but impairs tumor growth


Julia package to compute trap-assisted electron and hole capture in semiconductors

Upper limit to the photovoltaic efficiency of imperfect crystals from first principles

Importance of surface oxygen vacancies for ultrafast hot carrier relaxation and transport in Cu_2O


Tensor-reduced atomic density representations

Gaussian approximation potential for amorphous Si : H

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


GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

A Survey of Reasoning with Foundation Models

Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model

Journal of chemical information and modeling

On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction


T-Pot - The All In One Multi Honeypot Platform

A Comparative Analysis of Honeypots on Different Cloud Platforms

Honeypot Implementation in a Cloud Environment

An Analysis of Honeypots and their Impact as a Cyber Deception Tactic

LogPrécis: Unleashing Language Models for Automated Shell Log Analysis

AI-Enabled System for Efficient and Effective Cyber Incident Detection
  and Response in Cloud Environments

URSID: Using formalism to Refine attack Scenarios for vulnerable Infrastructure Deployment


:vertical_traffic_light: An extensible linter for the TypeScript language

A Benchmark of JSON-compatible Binary Serialization Specifications

Jiskefet, a bookkeeping application for ALICE

Benchmarking JSON BinPack


Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)

Bayesian Optimization over Hybrid Spaces

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

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

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

Mixed Variable Bayesian Optimization with Frequency Modulated Kernels

Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals

CircuitBot: Learning to survive with robotic circuit drawing


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

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

gRNAde: Geometric Deep Learning for 3D RNA inverse design


CRC Subtyping Consortium

The consensus molecular subtypes of colorectal cancer

Transcriptional Subtyping and CD8 Immunohistochemistry Identifies Patients With Stage II and III Colorectal Cancer With Poor Prognosis Who Benefit From Adjuvant Chemotherapy


Perl script for manipulating multiple sequence alignments for phylogenetic reconstruction

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

The genome sequence of Aloe vera reveals adaptive evolution of drought tolerance mechanisms

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Genome ofPhyllanthus emblica: the medicinal plant Amla with super antioxidant properties

Genome sequencing of Syzygium cumini (Jamun) reveals adaptive evolution in secondary metabolism pathways associated with its medicinal properties

Muntjac chromosome evolution and architecture

High-quality genome assemblies provide clues on the evolutionary advantage of blue peafowl over green peafowl


Processed datasets that we have used in our research

Label-Only Membership Inference Attacks

Unleashing the Power of Randomization in Auditing Differentially Private ML

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting


Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders

Offline Multi-Objective Optimization


A resistome profiler for Graphing Resistance Out Of meTagenomes

Assessment of global health risk of antibiotic resistance genes

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Rapid Methods for Antimicrobial Resistance Diagnostics

Indexed variation graphs for efficient and accurate resistome profiling


Deep Learning for Deepfakes Creation and Detection: A Survey

Transformable Bottleneck Networks

Neural Network for 3D ICF Shell Reconstruction from Single Radiographs

Challenges and Solutions in DeepFakes


MATLAB and R functions to perform nestedness analysis in bipartite networks

The ghost of nestedness in ecological networks

Nestedness in complex networks: Observation, emergence, and implications

Factors Determining Nestedness in Complex Networks

FALCON: a software package for analysis of nestedness in bipartite networks

Nestedness and τ-temperature in ecological networks


Input Inference for Control (i2c), a control-as-inference framework for optimal control

Stochastic Optimal Control as Approximate Input Inference

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

Stochastic Control through Approximate Bayesian Input Inference.

Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference


Code and pretrained model for paper "Learning to Summarize Radiology Findings"

Ontology-Aware Clinical Abstractive Summarization

Automatic Personalized Impression Generation for PET Reports Using Large Language Models


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

Non-Autoregressive Machine Translation with Latent Alignments

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


Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Learning to Learn Transferable Attack

Direction-Aggregated Attack for Transferable Adversarial Examples

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Purification through Representation Disentanglement


Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).

Do ImageNet Classifiers Generalize to ImageNet?

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

Shakedrop Regularization for Deep Residual Learning


Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Synthetic Experience Replay

GTA: Generative Trajectory Augmentation with Guidance for Offline
  Reinforcement Learning


Active Learning for Graph Embedding

Active Learning for Graph Embedding

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.

Class-Balanced and Reinforced Active Learning on Graphs


High-order countermeasures for AES and DES

Secure Wire Shuffling in the Probing Model

Reducing the Number of Non-linear Multiplications in Masking Schemes

Workshop on Cryptographic Hardware and Embedded Systems

Higher-Order Lookup Table Masking in Essentially Constant Memory

IACR Transactions on Cryptographic Hardware and Embedded Systems

PROLEAD_SW


Package for CGD and ACGD optimizers

Competitive Gradient Descent

Implicit competitive regularization in GANs

Competitive Physics Informed Networks

Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics


Training Generative Adversarial Networks with Limited Data

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Instance-Conditioned GAN

Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

Forensic Analysis of Synthetically Generated Western Blot Images

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps


PyTorch implementation of Tacotron speech synthesis model.

Tacotron: Towards End-to-End Speech Synthesis

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

TorchDIVA: An extensible computational model of speech production built on an open-source machine learning library


The ATIS (Airline Travel Information System) Dataset

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions


This is the Grammarly's Yahoo Answers Formality Corpus

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

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE Transactions on Artificial Intelligence

Improving Formality Style Transfer with Context-Aware Rule Injection

From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey

An Evaluation of Disentangled Representation Learning for Texts

Meeting of the Association for Computational Linguistics

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


[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Sparse Graph Attention Networks

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Self-Guided Robust Graph Structure Refinement

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks


Remote Sensing Image Classification Benchmark for Deep Learning

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification

Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends

Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering

On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition


Supercharged BLIP-2 that can handle videos

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

AutoAD III: The Prequel -- Back to the Pixels

Text-Conditioned Resampler For Long Form Video Understanding

PALM: Predicting Actions through Language Models


a deep learning architecture for protein-ligand binding affinity prediction

DeepDTAF: a deep learning method to predict protein-ligand binding affinity

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction


Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

Diffusion Posterior Sampling for General Noisy Inverse Problems

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Prompt-tuning latent diffusion models for inverse problems

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles

Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play
  Priors


Implementation of deep learning models for time series in PyTorch.

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models

On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies

Taming the Long Tail of Deep Probabilistic Forecasting

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series


Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

Nanophotonic particle simulation and inverse design using artificial neural networks

Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network

Enhancing Inverse Problem Solutions with Accurate Surrogate Simulators and Promising Candidates


Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Temporal Knowledge Graph Forecasting with Neural ODE

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models


Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

Conservative Objective Models for Effective Offline Model-Based Optimization

Fast activation maximization for molecular sequence design


Traffic dataset USTC-TFC2016

A Survey on Encrypted Network Traffic Analysis Applications, Techniques, and Countermeasures

Transfer-Learning-Based Intrusion Detection Framework in IoT Networks

When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification

NetGPT: Generative Pretrained Transformer for Network Traffic

TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM

TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic
  Analysis and Generation


LEGEND-1000 Preconceptual Design Report

Charge-carrier collective motion in germanium detectors for
    ββ
-decay searches

First detection of coherent elastic neutrino-nucleus scattering on
  germanium

Surface Characterization of P-Type Point Contact Germanium Detectors

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


A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

Population Based Training of Neural Networks

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

ASAP: Architecture Search, Anneal and Prune

Fast Hardware-Aware Neural Architecture Search

Inter-choice dependent super-network weights


The implementation of our paper accepted by ACL 2023: CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory


Code for paper "Out-of-domain detection for natural language understanding in dialog systems"

Out-of-Domain Detection for Natural Language Understanding in Dialog Systems

Energy-based Unknown Intent Detection with Data Manipulation


[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"

A Survey on Session-based Recommender Systems

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

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

IEEE International Joint Conference on Neural Network


[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

Unsupervised Learning of Object Keypoints for Perception and Control

Counterfactual Learning on Graphs: A Survey


10x single cell RNA-seq data from the developing mouse retina

A shared transcriptional code orchestrates temporal patterning of the central nervous system

Universal prediction of cell-cycle position using transfer learning

Diversification of multipotential postmitotic mouse retinal ganglion cell precursors into discrete types

Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers

Temporal patterning of the central nervous system by a shared transcription factor code


ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

Inferring Latent Domains for Unsupervised Deep Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Towards Recognizing New Semantic Concepts in New Visual Domains


Difference-of-Entropies (DoE) Estimator

On Variational Bounds of Mutual Information

Formal Limitations on the Measurement of Mutual Information

Self-supervised Representation Learning with Relative Predictive Coding

A Differential Entropy Estimator for Training Neural Networks

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach


A set of MATLAB wrapper scripts to help with pre-processing of tomography data.

A modular platform for automated cryo-FIB workflows

Molecular-scale visualization of sarcomere contraction within native cardiomyocytes

Cnm1 mediates nucleus–mitochondria contact site formation in response to phospholipid levels

The AAA+ chaperone VCP disaggregates Tau fibrils and generates aggregate seeds in a cellular system

In situ snapshots along a mammalian selective autophagy pathway

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

In situ architecture of the ciliary base reveals the stepwise assembly of IFT trains

In situ structure of actin remodeling during glucose-stimulated insulin secretion using cryo-electron tomography


Ethereum Static Vulnerability Detector for Gas-Focussed Vulnerabilities

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

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

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Vulnerability Detection Technique: A Survey

Precise static modeling of Ethereum “memory”

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

Continuous and Secure Integration Framework for Smart Contracts


Code for paper "Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks"

Heterogeneous Information Network Embedding for Recommendation

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Learning with Heterogeneous Side Information Fusion for Recommender Systems.

Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks


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

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

Optimizing Deeper Transformers on Small Datasets

Reasoning Like Program Executors

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

Fact-driven Logical Reasoning for Machine Reading Comprehension


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

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

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

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

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

Molecular signatures of attention networks

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

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

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

bioRxiv : the preprint server for biology


This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

State of the Art and Potentialities of Graph-level Learning

Learning Hierarchical Representations of Stories by Using Multi-Layered Structures in Narrative Multimedia


Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

ISPRS International Journal of Geo-Information

Crop mapping from image time series: deep learning with multi-scale label hierarchies

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification

A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture


Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

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


United Kingdom Generic Distribution System

Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information

Review of Steady-State Electric Power Distribution System Datasets

Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis

Value of Point-of-Load Voltage Control for Enhanced Frequency Response in Future GB Power System

Review and Classification of Published Electric Steady-State Power Distribution System Models.

Two-Stage Stochastic Model to Invest in Distributed Generation Considering the Long-Term Uncertainties


Language identification and normalisation in code switching data tailored with a three-step decoding process

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data

Battling Hateful Content in Indic Languages HASOC '21

PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality


Pytorch world language model (text generation) for PTB dataset example

Recurrent Neural Network Regularization

Using the Output Embedding to Improve Language Models

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

Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands

Programming Language Design and Implementation

Efficient Estimation of Influence of a Training Instance


Belief matching framework official implementation

Being Bayesian about Categorical Probability

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

Function-Space Regularization for Deep Bayesian Classification


ImageNet-R(endition) and DeepAugment (ICCV 2021)

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

Masked Siamese Networks for Label-Efficient Learning

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation

Dream the Impossible: Outlier Imagination with Diffusion Models

If your data distribution shifts, use self-learning

On the Strong Correlation Between Model Invariance and Generalization

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

The Entropy Enigma: Success and Failure of Entropy Minimization


ipole (master, originally published), ipole-v2.0 (v2.0 is more compact with additional features). This is the original repository for the ipole code.

ipole - semianalytic scheme for relativistic polarized radiative transport

Stringent axion constraints with Event Horizon Telescope polarimetric measurements of M87⋆

PATOKA: Simulating Electromagnetic Observables of Black Hole Accretion

The Astrophysical Journal Supplement Series

Decomposing the internal faraday rotation of black hole accretion flows

Monthly Notices of the Royal Astronomical Society

Unraveling circular polarimetric images of magnetically arrested accretion flows near event horizon of a black hole

Monthly notices of the Royal Astronomical Society

First Sagittarius A* Event Horizon Telescope Results. VIII. Physical Interpretation of the Polarized Ring

The Role of Adaptive Ray Tracing in Analyzing Black Hole Structure

Black Hole Polarimetry I. A Signature of Electromagnetic Energy Extraction

Impact of the nonthermal electron radiation effects on the horizon scale image structure of Sagittarius A*

Extreme Astrophysics with GRAVITY : energetic outbursts on the edge of the event horizon of the Galaxy's central black hole


An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks


Generalized SEIR Epidemic Model (fitting and computation)

Epidemic analysis of COVID-19 in China by dynamical modeling

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

A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects

Forecast analysis of the epidemics trend of COVID-19 in the United States by a generalized fractional-order SEIR model

Global sensitivity analysis in epidemiological modeling

European journal of operational research

Implication of repatriating migrant workers on COVID-19 spread and transportation requirements

The impact of crowd gatherings on the spread of COVID-19

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Real-Time Differential Epidemic Analysis and Prediction for COVID-19 Pandemic

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic


Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D

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

Computational Methods in Applied Mathematics

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


Multilingual/multidomain question generation datasets, models, and python library for question generation.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

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

Generative Language Models for Paragraph-Level Question Generation

An Empirical Comparison of LM-based Question and Answer Generation Methods

A Practical Toolkit for Multilingual Question and Answer Generation


"Learning What is Essential in Questions", CoNLL, 2017

Learning What is Essential in Questions

Conference on Computational Natural Language Learning

Answering Science Exam Questions Using Query Reformulation with Background Knowledge

Conference on Automated Knowledge Base Construction

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Reasoning-Driven Question-Answering for Natural Language Understanding

Answering Science Exam Questions Using Query Rewriting with Background Knowledge


Sylvester Normalizing Flows for Variational Inference

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

Amortised Learning by Wake-Sleep

On the Generative Utility of Cyclic Conditionals


Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Towards Zero-shot Cross-lingual Image Retrieval and Tagging


Optimal measurement network of pairwise differences

Performance and Analysis of the Alchemical Transfer Method for Binding-Free-Energy Predictions of Diverse Ligands

Precise binding free energy calculations for multiple molecules using an optimal measurement network of pairwise differences


Easy to use Beamformers for multi-channel speech separation/enhancement

McNet: Fuse Multiple Cues for Multichannel Speech Enhancement

Multi-Channel Narrow-Band Deep Speech Separation with Full-Band Permutation Invariant Training

Multichannel Speech Separation with Narrow-band Conformer


Explicit Sentence Compression for Neural Machine Translation

Attention Is All You Need

Convolutional Sequence to Sequence Learning


Creative Commons Attribution 4.0 International

Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD

The Power of Transfer Learning in Agricultural Applications: AgriNet

Machine learning for leaf disease classification: data, techniques and applications

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches


TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

Do dialogue representations align with perception? An empirical study

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics


Create a pseudohaploid assembly from a partially resolved diploid assembly

Transposon activation is a major driver in the genome evolution of cultivated olive trees (Olea europaea L.)

Live-bearing cockroach genome reveals convergent evolutionary mechanisms linked to viviparity in insects and beyond

Genome assemblies for two Neotropical trees: Jacaranda copaia and Handroanthus guayacan

Telomere-to-telomere assembly of cassava genome reveals the evolution of cassava and divergence of allelic expression

The draft genome of Spiraea crenata L. (Rosaceae) – the first complete genome in tribe Spiraeeae


Simulator and datasets to research on carbon-aware temporal workload shifting.

Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud


(3DV 2021 oral) PyTorch implementation of paper "PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning"

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Accidental Turntables: Learning 3D Pose by Watching Objects Turn


Code for the paper "Contextualized Weak Supervision for Text Classification"

Meeting of the Association for Computational Linguistics

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision

DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification


This repo is the official implementation of "Mask-based Latent Reconstruction for Reinforcement Learning" (NeurIPS 2022).

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

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

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning


On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs


A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Graph Self-Supervised Learning: A Survey

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

BYOL works even without batch statistics


Russian language support for NLTK's PunktSentenceTokenizer

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

A Comparative Study of Educational Texts for Native, Foreign, and Bilingual Young Speakers of Russian: Are Simplified Texts Equally Simple?

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


Pytorch implementation of neural processes and variants

Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Bootstrapping Neural Processes

Neural Processes with Stochastic Attention: Paying more attention to the context dataset

Adaptive Conditional Quantile Neural Processes

Exploiting Inferential Structure in Neural Processes

Stochastic Optimal Control for Diffusion Bridges in Function Spaces


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

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


This repository includes the code to reproduce our paper "Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation".

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Improving Short Utterance Anti-Spoofing with AASIST2

Audio Anti-Spoofing Detection: A Survey


Multi-Annotator Competence Estimation tool

Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes

Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification

Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification

Recent Advances in Natural Language Processing

A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreement


Short Text Topic Modeling

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Crude oil price forecasting incorporating news text

BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation


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

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

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

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

SwitchTab: Switched Autoencoders Are Effective Tabular Learners


Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Improving Knowledge Graph Embedding Using Simple Constraints


Strategic Dialogue Management via Deep Reinforcement Learning

SimpleDS: A Simple Deep Reinforcement Learning Dialogue System

Deep Reinforcement Learning for Multi-Domain Dialogue Systems

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning


RESA: Recurrent Feature-Shift Aggregator for Lane Detection

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

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

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

Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation

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


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

PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts

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


The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance

Range-Based Equal Error Rate for Spoof Localization

How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?


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

SLSpy: Python-Based System-Level Controller Synthesis Framework

System Level Synthesis via Dynamic Programming


ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

Learning Robust Global Representations by Penalizing Local Predictive Power

Self-Challenging Improves Cross-Domain Generalization

Masked Siamese Networks for Label-Efficient Learning

Computational models of category-selective brain regions enable high-throughput tests of selectivity

On the Strong Correlation Between Model Invariance and Generalization

Learning Visual Representations for Transfer Learning by Suppressing Texture

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

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

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift


Calculate flow statistics from a given network capture file.

A Flexible SDN-Based Architecture for Identifying and Mitigating Low-Rate DDoS Attacks Using Machine Learning

Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models

On the Detection of Low-Rate Denial of Service Attacks at Transport and Application Layers

Toward the Protection of IoT Networks: Introducing the LATAM-DDoS-IoT Dataset


Munge GenBank files into FASTA and tab-separated metadata

Novel and extendable genotyping system for Human Respiratory Syncytial Virus based on whole-genome sequence analysis

Variation Profile of the Orthotospovirus Genome

Whole Genome or Single Genes? A Phylodynamic and Bibliometric Analysis of PRRSV

An investig-ation into the epidemiology of chikungunya virus across neglected regions of Indonesia

Temporal and coevolutionary analyses reveal the events driving the emergence and circulation of human mamastroviruses

Analyses of Early ZIKV Genomes Are Consistent with Viral Spread from Northeast Brazil to the Americas

Ecological Changes Exacerbating the Spread of Invasive Ticks has Driven the Dispersal of Severe Fever with Thrombocytopenia Syndrome Virus Throughout Southeast Asia


Code for the paper "Taxonomy Completion via Triplet Matching Network" AAAI 2021

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

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

TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths

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

A Language Model based Framework for New Concept Placement in Ontologies

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

Expanding Knowledge Graphs with Humans in the Loop


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

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

The StarCraft Multi-Agent Challenge

MAVEN: Multi-Agent Variational Exploration

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

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

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning


Spatial-Temporal Transformer for Video Snapshot Compressive Imaging

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

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing


TVsub: DCU-Tencent Chinese-English Dialogue Corpus

Learning to Remember Translation History with a Continuous Cache

Translating Pro-Drop Languages with Reconstruction Models

Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine Translation

Corpora for Document-Level Neural Machine Translation

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation

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

Recent Advances in Dialogue Machine Translation

A Survey on Zero Pronoun Translation


A library for bayesian variable selection

Scalable importance tempering and Bayesian variable selection

Journal of the Royal Statistical Society Series B: Statistical Methodology

Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression

Bayesian Variable Selection in a Million Dimensions


Code for "Neural Tangent Generalization Attacks" (ICML 2021)

Densely Connected Convolutional Networks

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

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning

Indiscriminate Poisoning Attacks Are Shortcuts.

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Single-level Adversarial Data Synthesis based on Neural Tangent Kernels


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

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

Antarctic Mapping Tools for Matlab


WaveNet: A Generative Model for Raw Audio

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning


Source code of Graph-Bert

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Graph-Bert: Only Attention is Needed for Learning Graph Representations

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

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

SEGEN: Sample-Ensemble Genetic Evolutional Network Model

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction


Documentation for the Dogecoin <-> Ethereum bridge.

Survey of crosschain communications protocols

Atomic Crosschain Transactions for Ethereum Private Sidechains

General Purpose Atomic Crosschain Transactions

Retrofitting a two-way peg between blockchains


Selection Distribution Generator for Domain Adaptation

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

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

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

Reinforced Training Data Selection for Domain Adaptation


Periodic time series analysis tools based on information theory

Gamma-ray and optical oscillations of 0716+714, MRK 421, and BL Lacertae

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era

Efficient Optimization of Echo State Networks for Time Series Datasets

International Joint Conference on Neural Network

VLA/Realfast Detection of a Burst from FRB 180916.J0158+65 and Tests for Periodic Activity

A random forest-based selection of optically variable AGN in the VST-COSMOS field

Persistent and occasional: Searching for the variable population of the ZTF/4MOST sky using ZTF Data Release 11

Taking the pulse of the outer Milky Way with HOWVAST: an RR Lyrae
  density profile out to >200 kpc

Monitoring Observations of SMC X-1’s Excursions (MOOSE) I: Program Description and Initial High-State Spectral Results

Monthly notices of the Royal Astronomical Society


Safe Bayesian Optimization

Safe Controller Optimization for Quadrotors with Gaussian Processes

International Conference on Robotics and Automation

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

GoSafe: Globally Optimal Safe Robot Learning

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Information-Theoretic Safe Exploration with Gaussian Processes


Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"

TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching

International Conference on Computational Linguistics

Neural Data-to-Text Generation with LM-based Text Augmentation


Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.

Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy

A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity

Functional Brain-to-Brain Transformation with No Shared Data

Attentionally modulated subjective images reconstructed from brain activity

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model

How does the brain represent the semantic content of an image?

Shared and Independent Neural Representation Between Visual Perception and Mental Imagery


A Tensorflow implementation Mutual Information estimation methods

Representation Learning with Contrastive Predictive Coding

MINE: Mutual Information Neural Estimation

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization


Cuckoo Filter: Practically Better Than Bloom

PROCEEDINGS OF THE 2014 CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES (CONEXT'14)

HyperLogLog in practice: algorithmic engineering of a state of the art cardinality estimation algorithm

International Conference on Extending Database Technology

Don't Thrash: How to Cache Your Hash on Flash

Probabilistic near-duplicate detection using simhash

International Conference on Information and Knowledge Management

Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams


Wasserstein GAN

Adversarial Regularizers in Inverse Problems

End-to-end reconstruction meets data-driven regularization for inverse problems

Wasserstein-based Projections with Applications to Inverse Problems

What's in a Prior? Learned Proximal Networks for Inverse Problems


PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"

Cold Start Streaming Learning for Deep Networks


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

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


Official code for Slot-Transformer for Videos (STEVE)

Bridging the Gap to Real-World Object-Centric Learning

Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos

Object-Centric Slot Diffusion

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning


Pre-Trained Chinese XLNet（中文XLNet预训练模型）

Revisiting Pre-Trained Models for Chinese Natural Language Processing

CLUE: A Chinese Language Understanding Evaluation Benchmark

A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo

Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis

Context-Aware Coherent Speaking Style Prediction with Hierarchical Transformers for Audiobook Speech Synthesis

Identifying Cultural Differences through Multi-Lingual Wikipedia.


Effective Pan-Sharpening by Multiscale Invertible Neural Network and Heterogeneous Task Distilling

IEEE Transactions on Geoscience and Remote Sensing

Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening

Proceedings of the 30th ACM International Conference on Multimedia

Normalization-based Feature Selection and Restitution for Pan-sharpening

Modality-Aware Feature Integration for Pan-Sharpening


4C-seq  processing pipeline

Acis-regulatory element regulatesERAP2expression through autoimmune disease risk SNPs

Systematic decoding of cis gene regulation defines context-dependent control of the multi-gene costimulatory receptor locus in human T cells

An optimized 4C-seq protocol based on cistrome and epigenome data in the mouse RAW264.7 macrophage cell line

Zenodo (CERN European Organization for Nuclear Research)


MANET protocols for INET - no longer maintaiened. Please DO NOT use it with new projects.

A mobility aware duty cycling and preambling solution for wireless sensor network with mobile sink node

Definition of an 802.11 Interface Management Process in a Proposed System for Transmission Capacity Enhancement in Wireless Mesh Networks

Journal of Computer Networks and Communications

Heterogeneous Buffer Size Impact on UDP Performance for Real-Time Video Streaming Application

International Journal of Advanced Computer Science and Applications


TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reasoning Like Program Executors

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

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question


[ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementation)

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery


Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset

Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

Static and Dynamic Robust PCA and Matrix Completion: A Review

Low Rank Regularization: A review

Provable Dynamic Robust PCA or Robust Subspace Tracking

Provable Subspace Tracking From Missing Data and Matrix Completion

Low-M-Rank Tensor Completion and Robust Tensor PCA

Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches

International Journal of Online and Biomedical Engineering (iJOE)

Beamforming and other methods for denoising microphone array data


CoNLL 2016 Shared Task in English and Chinese Shallow Discourse Parsing

CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing

Meeting of the Association for Computational Linguistics

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification

Argument Labeling of Explicit Discourse Relations using LSTM Neural Networks

Labeling Explicit Discourse Relations using Pre-trained Language Models

Attention for Implicit Discourse Relation Recognition

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


Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

The ExoTETHyS Package: Tools for Exoplanetary Transits around Host Stars

ExoClock Project. II. A Large-scale Integrated Study with 180 Updated Exoplanet Ephemerides

ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public

TOI-674b: An oasis in the desert of exo-Neptunes transiting a nearby M dwarf

Phase-curve Pollution of Exoplanet Transmission Spectra

JexoSim: a time-domain simulator of exoplanet transit spectroscopy with JWST

The HD 260655 system: Two rocky worlds transiting a bright M dwarf at 10 pc

The homogeneous characterisation of Ariel host stars


[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

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

Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Evaluating Deep Neural Networks for Image Document Enhancement


Centroid RNA package

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

Comparative analysis of RNA secondary structure accuracy on predicted RNA 3D models


PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Deep Hashing Network for Unsupervised Domain Adaptation

Deeper, Broader and Artier Domain Generalization

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

Co-Teaching for Unsupervised Domain Adaptation and Expansion


Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Generalization of Equilibrium Propagation to Vector Field Dynamics

A deep learning theory for neural networks grounded in physics


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

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Label Noise Types and Their Effects on Deep Learning

SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training


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

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

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

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

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


R package for forest mensuration and management


STAG: Species Tree from All Genes

STAG: Species Tree Inference from All Genes

The Cycas genome and the early evolution of seed plants

Genome Insights of the Plant-Growth Promoting Bacterium Cronobacter muytjensii JZ38 With Volatile-Mediated Antagonistic Activity Against Phytophthora infestans

Data from: FastMulRFS: Statistically consistent polynomial time species tree estimation under gene duplication

In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters

Lineage-Specific Rewiring of Core Pathways Predating Innovation of Legume Nodules Shapes Symbiotic Efficiency

Metagenome sequencing and 768 microbial genomes from cold seep in South China Sea


Document-Level Neural Machine Translation with Hierarchical Attention Networks

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation

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

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

Document-level Neural Machine Translation with Associated Memory Network

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

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


Super-resolution chromatin tracing 2018

Loop-extrusion and polymer phase-separation can co-exist at the single-molecule level to shape chromatin folding

Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering


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

Exploring the Limits of Language Modeling

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

Efficient softmax approximation for GPUs

Factorization tricks for LSTM networks

Compressing Gradient Optimizers via Count-Sketches


CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

Benchmarking and survey of explanation methods for black box models

On the computation of counterfactual explanations -- A survey

Convex Density Constraints for Computing Plausible Counterfactual Explanations

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

Conference on Fairness, Accountability and Transparency

Efficient computation of counterfactual explanations of LVQ models

Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning

Ensemble of Counterfactual Explainers

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations

Efficient computation of contrastive explanations


LISA for ICML 2022

Improving Out-of-Distribution Robustness via Selective Augmentation

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

Sufficient Invariant Learning for Distribution Shift


Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Discriminative Active Learning

Multi-class Text Classification using BERT-based Active Learning


PulsePortraiture (PP): a wideband pulsar timing code written in python.  It uses an extension of Joe Taylor's FFTFIT algorithm (Taylor 1992) to simultaneously measure a phase (TOA) and dispersion measure (DM).  PSRCHIVE, lmfit, and the latest vertsions of numpy and scipy are required.

Refined Mass and Geometric Measurements of the High-mass PSR J0740+6620

A LOFAR census of millisecond pulsars

ELEMENTARY WIDEBAND TIMING OF RADIO PULSARS

The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars

The Astrophysical Journal Supplement Series

Frequency-dependent Template Profiles for High-precision Pulsar Timing

Measurements of pulse jitter and single-pulse variability in millisecond pulsars using MeerKAT

Monthly Notices of the Royal Astronomical Society

Improving timing sensitivity in the microhertz frequency regime: limits from PSR J1713+0747 on gravitational waves produced by supermassive black hole binaries

Timing of PSR J2055+3829, an eclipsing black widow pulsar discovered with the Nançay Radio Telescope

Pulsar Timing Array Experiments

Low-frequency wideband timing of InPTA pulsars observed with the uGMRT


Incremental learning of word embeddings with context informativeness.

High-risk learning: acquiring new word vectors from tiny data

Few-Shot Representation Learning for Out-Of-Vocabulary Words

Towards Incremental Learning of Word Embeddings Using Context Informativeness


Engineering In-place (Shared-memory) Sorting Algorithms

BlockQuicksort: How Branch Mispredictions don't affect Quicksort

Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme

Performance Evaluation of Parallel Sortings on the Supercomputer Fugaku


An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.

Poisoning Attacks against Recommender Systems: A Survey

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

Poisoning Attacks and Defenses in Recommender Systems: A Survey


A practical guide to linking brain-wide gene expression and neuroimaging data

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

Regional brain iron and gene expression provide insights into neurodegeneration in Parkinson’s disease

Differences in network controllability and regional gene expression underlie hallucinations in Parkinson’s disease

Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics

Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular-Structural-Functional Co-alterations

Functional hierarchy of the angular gyrus and its underlying genetic architecture

Cell-Type-Specific Gene Modules Related to the Regional Homogeneity of Spontaneous Brain Activity and Their Associations With Common Brain Disorders

Distinct Genetic Signatures of Cortical and Subcortical Regions Associated with Human Memory

Spatial and temporal pattern of structure-function coupling of human brain connectome with development


This repository is the official PyTorch implementation of URSCT-SESR: Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution.

U-shape Transformer for Underwater Image Enhancement

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

Underwater Image Super-Resolution using Deep Residual Multipliers

Reinforced Swin-Convs Transformer for Underwater Image Enhancement


FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval


Repo to the paper "Message Passing Neural PDE Solvers"

Message Passing Neural PDE Solvers

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic
  Systems


Diffusers-Interpret ♀: Model explainability for  Diffusers. Get explanations for your generated images.


Python based SED fitting code

Evolution of the galaxy stellar mass functions and UV luminosity functions at z = 6−9 in the Hubble Frontier Fields

Monthly notices of the Royal Astronomical Society

A consistent measure of the merger histories of massive galaxies using close-pair statistics I: Major mergers at $z < 3.5$

Discovery of a radio galaxy at z = 5.72

Populations of double white dwarfs in Milky Way satellites and their detectability with LISA

UV Spectral Slopes at z = 6−9 in the Hubble Frontier Fields: Lack of Evidence for Unusual or Population III Stellar Populations

Unbiased Differential Size Evolution and the Inside-Out Growth of
  Galaxies in the Deep CANDELS GOODS Fields at 1 ≤ z ≤ 7

A direct measurement of galaxy major and minor merger rates and stellar mass accretion histories at $z < 3$ using galaxy pairs in the REFINE survey

Surface Brightness Evolution of Galaxies in the CANDELS GOODS Fields up to z similar to 6: High-z Galaxies Are Unique or Remain Undetected

Revealing new high-redshift quasar populations through Gaussian mixture model selection


Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.

Overcoming catastrophic forgetting in neural networks

Memory Aware Synapses: Learning what (not) to forget

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization

Greedy Frank-Wolfe Algorithm for Exemplar Selection


Object-Based Image Analysis Tools for Radiative Transfer Modeling


A library to conduct ranking experiments with transformers.

On the Calibration and Uncertainty of Neural Learning to Rank Models

Weakly Supervised Label Smoothing

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?

Moving Stuff Around: A study on efficiency of moving documents into memory for Neural IR models


Reframing Jet Physics with New Computational Methods

Simulation-based inference methods for particle physics

Hierarchical clustering in particle physics through reinforcement learning

The Quantum Trellis: A classical algorithm for sampling the parton shower with interference effects

Compact Representation of Uncertainty in Hierarchical Clustering.

Data Structures & Algorithms for Exact Inference in Hierarchical Clustering.


The library that uses dependency parsing to preprocess text to train DisSent model

DisSent: Learning Sentence Representations from Explicit Discourse Relations

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations

Leveraging Natural Supervision for Language Representation Learning and Generation


ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts

Workshop on Biomedical Natural Language Processing

Chinese Couplet Generation with Syntactic Information

International Conference on Computational Linguistics


Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Auto-Encoding Variational Bayes

Homogeneous Linear Inequality Constraints for Neural Network Activations

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders

Efficient Planning with Latent Diffusion

Residual-Recursion Autoencoder for Shape Illustration Images


Biomedical Word embeddings generated from Spanish Biomedical corpora.

FastText Spanish Medical Embeddings

Spanish Clinical Word Embeddings in FastText

Spanish Biomedical Sub-word Embeddings in FastText


This dataset contains 207,572 books from the Amazon.com, Inc. marketplace.

Graph Learning based Recommender Systems: A Review

Judging a Book By its Cover

How do Convolutional Neural Networks Learn Design?

Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements

Font Style that Fits an Image -- Font Generation Based on Image Context

Effect of Text Color on Word Embeddings

Towards Book Cover Design via Layout Graphs


Invertible conditional GANs for image editing

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Invertible Conditional GANs for image editing

Fader Networks: Manipulating Images by Sliding Attributes

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


Binary neural networks developed by Huawei Noah's Ark Lab

Searching for Low-Bit Weights in Quantized Neural Networks

Training Binary Neural Networks through Learning with Noisy Supervision


Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)


On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

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

Differentiable Random Partition Models

X-model: Improving Data Efficiency in Deep Learning with A Minimax Model

Enriching Disentanglement: Definitions to Metrics


Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)

A Knowledge-Grounded Neural Conversation Model

Dialog System Technology Challenge 7

A Survey of Document Grounded Dialogue Systems (DGDS)

Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation

Enhancing Dialogue Generation with Conversational Concept Flows

Findings of the Association for Computational Linguistics: EACL 2023

Fact-based Dialogue Generation with Convergent and Divergent Decoding

Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

DialoGen: Generalized Long-Range Context Representation for Dialogue Systems


A high-fidelity E. coli RNA-seq compendium

The Escherichia coli transcriptome mostly consists of independently regulated modules

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning

Revealing 29 sets of independently modulated genes in Staphylococcus aureus, their regulators, and role in key physiological response

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

Independent component analysis recovers consistent regulatory signals from disparate datasets

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility

Matrix factorization recovers consistent regulatory signals from disparate datasets

Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning

Computational and structural biotechnology journal


Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers.

AStERISK: Auction-based Shared Economy ResolutIon Markets for Blockchain Platforms

Coconut E-Petition Implementation


Safety Verification of Deep Neural Networks

Algorithms for Verifying Deep Neural Networks

Verification for Machine Learning, Autonomy, and Neural Networks Survey

A Review of Formal Methods applied to Machine Learning


Unicoder model for understanding and generation.

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge

A Survey on Large Language Models for Software Engineering

Machine-Created Universal Language for Cross-lingual Transfer

Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model


Docs

Constraints and Benefits of the Blockchain Use for Real Estate and Property Rights

A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

HealthyBlock: Blockchain-Based IT Architecture for Electronic Medical Records Resilient to Connectivity Failures

International journal of environmental research and public health

Zero-Knowledge Proof-of-Identity: Sybil-Resistant, Anonymous Authentication on Permissionless Blockchains and Incentive Compatible, Strictly Dominant Cryptocurrencies

Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology

Exploring Blockchain Technology through a Modular Lens: A Survey

A Taxonomic Hierarchy of Blockchain Consensus Algorithms: An Evolutionary Phylogeny Approach

Decentralized Inverse Transparency with Blockchain

Distributed Ledger Technologies: Research and Practice

Publishing and using record-keeping structural information in a blockchain


Inductive simulation of calorimeter showers with normalizing flows

CaloDREAM -- Detector Response Emulation via Attentive flow Matching

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular
  Calorimeters Using Convolutional Normalizing Flows


Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms

Fairness in Graph Mining: A Survey

PyGDebias: A Python Library for Debiasing in Graph Learning

A Benchmark for Fairness-Aware Graph Learning


Bayesian reconstruction of ancient DNA fragments

Genomic analyses of hair from Ludwig van Beethoven

Ancient Xinjiang mitogenomes reveal intense admixture with high genetic diversity

Genetic Continuity of Bronze Age Ancestry with Increased Steppe-Related Ancestry in Late Iron Age Uzbekistan

Ancient Mitogenomes Reveal the Maternal Genetic History of East Asian Dogs


Physics-informed neural networks package

Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue

Journal of Computing and Information Science in Engineering

A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue

International Journal of Prognostics and Health Management

Fleet Prognosis with Physics-informed Recurrent Neural Networks

Wind Turbine Main Bearing Fatigue Life Estimation with Physics-informed Neural Networks

Cumulative Damage Modeling with Recurrent Neural Networks

Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis

Physics-Informed Neural Networks for Bias Compensation in Corrosion-Fatigue

Hybrid Model for Wind Turbine Main Bearing Fatigue with Uncertainty in Grease Observations


Mining individual characters in multiparty dialogue

Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks

Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking

Text-based automatic personality prediction: a bibliographic review

A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning

Generic Dependency Modeling for Multi-Party Conversation

Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue


Direct implicit and explicit energy-conserving particle-in-cell methods for modeling of capacitively coupled plasma devices

Physical regimes of electrostatic wave-wave nonlinear interactions generated by an electron beam propagating in a background plasma

Particle-in-cell modeling of electron beam generated plasma

Rotating spokes, potential hump and modulated ionization in radio frequency magnetron discharges

Numerical thermalization in 2D PIC simulations: Practical estimates for low-temperature plasma simulations

Study of synchronous RF pulsing in dual frequency capacitively coupled plasma