Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

Learning to Find Good Correspondences

Image Matching Across Wide Baselines: From Paper to Practice

International journal of computer vision

Improving the HardNet Descriptor

Learning and Crafting for the Wide Multiple Baseline Stereo


Time-Aware LSTM

Patient Subtyping via Time-Aware LSTM Networks

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction


Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

Improving robustness against common corruptions by covariate shift adaptation

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations


Transfer Feature Learning with Joint Distribution Adaptation

International Conference on Computer Vision

Balanced Distribution Adaptation for Transfer Learning

On the application of domain adaptation in structural health monitoring

Mechanical systems and signal processing

Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer

Machine learning at the interface of structural health monitoring and non-destructive evaluation

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning

On the application of kernelised Bayesian transfer learning to population-based structural health monitoring


Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Learning to Discover Medicines


An integration of JoernTI's CodeTIDAL5 neural type inference model.

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints

Advanced Graph-Based Deep Learning for Probabilistic Type Inference


Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

GAIN: Missing Data Imputation using Generative Adversarial Nets

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Variational Autoencoder with Arbitrary Conditioning

Handling Missing Data with Graph Representation Learning

Missing Data Imputation using Optimal Transport

Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Generative Imputation and Stochastic Prediction

Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries


This repo implements several algorithms for learning with differential privacy.

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Large Language Models Can Be Strong Differentially Private Learners

Differentially Private Fine-tuning of Language Models

Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning

Large Scale Private Learning via Low-rank Reparametrization


Unsupervised single image depth prediction with CNNs

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Digging Into Self-Supervised Monocular Depth Estimation

Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes


Paper list of KBQA

Core techniques of question answering systems over knowledge bases: a survey

Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision

Learning to Answer Complex Questions over Knowledge Bases with Query Composition

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph

International Conference on Information and Knowledge Management

A Survey of Question Answering over Knowledge Base

KNOWLEDGE GRAPH AND SEMANTIC COMPUTING: KNOWLEDGE COMPUTING AND LANGUAGE UNDERSTANDING

PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems


OPT-IML: Scaling Language Model Instruction Meta Learning through the
  Lens of Generalization

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Towards Zero-Shot Functional Compositionality of Language Models

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer


Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Deep Learning on Graphs: A Survey

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Adversarial Attack and Defense on Graph Data: A Survey

Are Defenses for Graph Neural Networks Robust?

Graph Sanitation with Application to Node Classification

Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to
  Any-Layer Graph Neural Networks via Influence Function

Topological Effects on Attacks Against Vertex Classification


Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"

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

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent
  Reinforcement Learning


Visual question answering for CVPR16 VQA Challenge.

Dynamic Memory Networks for Visual and Textual Question Answering

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Open-Ended Visual Question-Answering


:earth_africa: :pencil: Modelling and forecasting deforestation in the tropics


[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Representation Learning by Predicting Image Rotations

Rethinking the Value of Labels for Improving Class-Imbalanced Learning


R implementation of MULTI-seq sample classification workflow

Single-cell analysis of the ventricular-subventricular zone reveals signatures of dorsal and ventral adult neurogenesis

RUNX1 marks a luminal castration resistant lineage established at the onset of prostate development

Patterning and folding of intestinal villi by active mesenchymal dewetting

bioRxiv : the preprint server for biology


Code for DeCoAR (ICASSP 2020) and BERTphone (Odyssey 2020)

Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition

International Conference on Acoustics, Speech, and Signal Processing

DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization

Probing Acoustic Representations for Phonetic Properties

BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition

The Speaker and Language Recognition Workshop (Odyssey 2020)

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech


Toolbox with R scripts

The concurrence of DNA methylation and demethylation is associated with transcription regulation

Downregulation of ST3GAL5 is associated with muscle invasion, high grade and a poor prognosis in patients with bladder cancer

Sexually dimorphic activation of innate antitumor immunity prevents adrenocortical carcinoma development

Inhibition of casein kinase 2 sensitizes mantle cell lymphoma to venetoclax through MCL-1 downregulation

SOX11 regulates SWI/SNF complex components as member of the adrenergic neuroblastoma core regulatory circuitry

The bromodomain protein TRIM28 controls the balance between growth and invasiveness in melanoma


Making Deep Q-learning methods robust to time discretization

Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods

ACERAC: Efficient reinforcement learning in fine time discretization


L1000 peak deconvolution based on Bayesian analysis

A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing

A Bayesian approach to accurate and robust signature detection on LINCS L1000 data

Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing

Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing

Model-Free Error Assessment for Breadth-First Studies, with Applications
  to Cell-Perturbation Experiments


Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).

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


Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.

Data Programming: Creating Large Training Sets, Quickly

Text Classification Using Label Names Only: A Language Model Self-Training Approach


Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

Person Re-identification Method Based on Color Attack and Joint Defence

Eliminate Deviation with Deviation for Data Augmentation and a General
  Multi-modal Data Learning Method

A Person Re-identification Data Augmentation Method with Adversarial Defense Effect

Exploring Color Invariance through Image-Level Ensemble Learning


Matlab and Python scripts for calculating functional coupling between time series data

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

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

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain

Catecholaminergic manipulation alters dynamic network topology across cognitive states

Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks

Catecholaminergic Manipulation Alters Dynamic Network Topology Across Behavioral States

Dynamic reconfiguration of macaque brain networks during natural vision


About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

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

Structured Pruning Learns Compact and Accurate Models


PLATYPOS - PLAneTarY PhOtoevaporation Simulator

X-ray irradiation and evaporation of the four young planets around V1298 Tau

Monthly Notices of the Royal Astronomical Society

The influence of host star activity evolution on the population of super-Earths and mini-Neptunes

Estimating photoevaporative mass loss of exoplanets with PLATYPOS


PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent

Analyzing Federated Learning through an Adversarial Lens

MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients


DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons


LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

AlpaCare:Instruction-tuned Large Language Models for Medical Application


[SIGGRAPH 2023] Composite Motion Learning with Task Control

A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control

Proceedings of the ACM on computer graphics and interactive techniques


Molecular Explanation Generator

Optimization of Molecules via Deep Reinforcement Learning

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks

Counterfactual Learning on Graphs: A Survey

Explaining Deep Graph Networks with Molecular Counterfactuals


Scattering GCN: overcoming oversmoothness in graph convolutional networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks


The source code used for paper "Empower Entity Set Expansion via Language Model Probing", published in ACL 2020.

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery


A Persistent Weisfeiler–Lehman Procedure for Graph Classification

A Persistent Weisfeiler-Lehman Procedure for Graph Classification

International Conference on Machine Learning

State of the Art and Potentialities of Graph-level Learning

Contrastive Graph Few-Shot Learning


Collection of AI resources to fight against Coronavirus (COVID-19)

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA

Digital technology and COVID-19

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

The Role of Imaging in the Detection and Management of COVID-19: A Review

Artificial intelligence and the future of global health

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic


Generating non-stationary multi-sensor signals under a spatial coherence constraint

Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization

Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays

Attention-based multi-channel speaker verification with ad-hoc microphone arrays.

Multi-Channel Far-Field Speaker Verification with Large-Scale Ad-hoc Microphone Arrays


PyKNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for high-throughput image annotation of 3D electron microscopy stacks of brain tissue. https://www.ariadne.ai

Whitening of odor representations by the wiring diagram of the olfactory bulb

Automated synapse-level reconstruction of neural circuits in the larval zebrafish brain

3-dimensional electron microscopic imaging of the zebrafish olfactory bulb and dense reconstruction of neurons

Methods for Mapping Neuronal Activity to Synaptic Connectivity: Lessons From Larval Zebrafish


compute bolometric corrections and synthetic colours for input values of stellar parameters

On the use of Gaia magnitudes and new tables of bolometric corrections

Monthly Notices of the Royal Astronomical Society: Letters

Synthetic Stellar Photometry - II. Testing the bolometric flux scale and tables of bolometric corrections for the Hipparcos/Tycho, Pan-STARRS1, SkyMapper, and JWST systems

The GALAH survey: effective temperature calibration from the InfraRed Flux Method in the Gaia system

The all-sky PLATO input catalogue

Fundamental stellar parameters of benchmark stars from CHARA interferometry - I. Metal-poor stars

Prospects for Galactic and stellar astrophysics with asteroseismology of giant stars in the TESS continuous viewing zones and beyond

Precision angular diameters for 16 southern stars with VLTI/PIONIER

Monthly notices of the Royal Astronomical Society

Characterization of 92 southern TESS candidate planet hosts and a new photometric [Fe/H] relation for cool dwarfs

Analysis of eclipsing binaries in multiple stellar systems: the case of V1200 Centauri


plant NGS analysis

Linking key steps of microRNA biogenesis by TREX-2 and the nuclear pore complex in Arabidopsis

Anterograde signaling controls plastid transcription via sigma factors separately from nuclear photosynthesis genes

Arabidopsis HOT3/eIF5B1 constrains rRNA RNAi by facilitating 18S rRNA maturation

Transcriptome-wide analyses of RNA m6A methylation in hexaploid wheat reveal its roles in mRNA translation regulation


Calibrating Deep Neural Networks using Focal Loss

Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings

AdaFocal: Calibration-aware Adaptive Focal Loss


A Python implementation of the rough Bergomi model.

Turbocharging Monte Carlo pricing for the rough Bergomi model

Non-adversarial training of Neural SDEs with signature kernel scores

Bartlett's Delta revisited: Variance-optimal hedging in the lognormal
  SABR and in the rough Bergomi model


Generic Neural Architecture Search via Regression

Extensible Proxy for Efficient NAS

Extensible and Efficient Proxy for Neural Architecture Search

IEEE International Conference on Computer Vision


TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Structural Neural Additive Models: Enhanced Interpretable Machine
  Learning

Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean


a project for developing registration tools with convolutional neural networks

Dual-Stream Pyramid Registration Network

FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive
  Radiation Therapy


A framework for systemic risk valuation and analysis.

Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers

On the network topology of variance decompositions: Measuring the connectedness of financial firms

Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors

Measuring Systemic Risk

SRISK: A Conditional Capital Shortfall Measure of Systemic Risk

Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?

Principal Components as a Measure of Systemic Risk

The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series

VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles

The systemic risk of European banks during the financial and sovereign debt crises


Bayesian Jenaer software

Kilohertz Gravitational Waves From Binary Neutron Star Mergers:
  Numerical-relativity Informed Postmerger Model

Effective-one-body waveforms for precessing coalescing compact binaries with post-Newtonian twist

Bayesian inference of multimessenger astrophysical data: Methods and applications to gravitational waves

Constraints on the neutron star's maximum densities from postmerger gravitational-waves with third-generation observations

Kilohertz Gravitational Waves from Binary Neutron Star Mergers:
  Inference of Postmerger Signals with the Einstein Telescope

Combining effective-one-body accuracy and reduced-order-quadrature speed for binary neutron star merger parameter estimation with machine learning

Numerical-relativity-informed effective-one-body model for black-hole–neutron-star mergers with higher modes and spin precession

Pre/Post-Merger Consistency Test for Gravitational Signals from Binary Neutron Star Mergers


Deep Music Analogy Via Latent Representation Disentanglement

Learning Interpretable Representation for Controllable Polyphonic Music Generation

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Audio-To-Symbolic Arrangement Via Cross-Modal Music Representation Learning


Japanese--Russian--English News Commentary Parallel Data

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Overview of the 6th Workshop on Asian Translation

Pacific Asia Conference on Language, Information and Computation

Overview of the 7th Workshop on Asian Translation

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation


Component data sheets, busbars and files needed to build no-weld BMS DKblock style battery packs.   Here is a YouTube video, courtesy of Nick Jobbitt of a 10 block build, sped up: https://www.youtube.com/watch?v=V05_WOhEqQg&feature=youtu.be    ................    DKblock2 parts available on ebay search "DKblock


Multivariate Gaussian Models for Genomic and Pedigree Data

Genetic Contribution to Variation in Blood Calcium, Phosphorus, and Alkaline Phosphatase Activity in Pigs

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Genomic Bayesian Confirmatory Factor Analysis and Bayesian Network To Characterize a Wide Spectrum of Rice Phenotypes

Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle

Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package

Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)

Deciphering Cattle Temperament Measures Derived From a Four-Platform Standing Scale Using Genetic Factor Analytic Modeling


[PR2022] The Code of “EANet:  Iterative Edge Attention Network for Medical Image Segmentation”

Fully Convolutional Networks for Semantic Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation


10W首中文歌词数据库

ChipSong: A Controllable Lyric Generation System for Chinese Popular Song

Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)

Songs Across Borders: Singable and Controllable Neural Lyric Translation

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation


Sergey Koposov's repository of codes, converted from IDL astrolib. Some are mimicking the IDL interface, some are new. Some are obsolete given the existence of astropy

The R-Process Alliance: First Release from the Northern Search for r-process-enhanced Metal-poor Stars in the Galactic Halo

The R-Process Alliance: Discovery of a low-alpha, r-Process-Enhanced Metal-Poor Star in the Galactic Halo

Moment expansion of polarized dust SED: A new path towards capturing the CMB B-modes with LiteBIRD

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

The Characterization of the Dust Content in the Ring Around Sz 91: Indications of Planetesimal Formation?

A sensitive APEX and ALMA CO(1-0), CO(2-1), CO(3-2), and [CI](1-0)
  spectral survey of 40 local (U)LIRGs

Kinematics of Type II Cepheids of the Galactic Halo

HubPUG: Proper Motions for Local Group Dwarfs observed with HST
  utilizing Gaia as a Reference Frame

Bump Morphology of the CMAGIC Diagram

DEATHSTAR: A system for confirming planets and identifying false
  positive signals in TESS data using ground-based time domain surveys


Code for the CoNLL 2019 paper "Compositional Generalization in Image Captioning" by Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte and Desmond Elliott

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Conference on Computational Natural Language Learning


Code accompanying the article "Self-Supervised Learning for Scene Classification in Remote Sensing: current State of the Art and Perspectives"

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives


[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds

3D-LLM: Injecting the 3D World into Large Language Models

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D
  Understanding, Generation, and Instruction Following


Augmented halo model for accurate non-linear matter power spectrum calculations

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

An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models

KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak
  gravitational lensing tomography and overlapping redshift-space galaxy
  clustering

CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics

Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces

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

HMCODE-2020: improved modelling of non-linear cosmological power spectra with baryonic feedback

The Uchuu simulations: Data Release 1 and dark matter halo concentrations

Modelling baryonic physics in future weak lensing surveys

Linear and non-linear perturbations in dark energy models

Journal of Cosmology and Astroparticle Physics


Soil parameter estimation from hyperspectral satellite images

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Predicting Soil Properties from Hyperspectral Satellite Images

International Conference on Information Photonics


Using backtracking line search as learning rate finder for Neural Nets. Pytorch repo.

Convergence to minima for the continuous version of Backtracking Gradient Descent

Some convergent results for Backtracking Gradient Descent method on
  Banach spaces

Backtracking Gradient Descent allowing unbounded learning rates

Backtracking gradient descent method for general C^1 functions, with applications to Deep Learning

Unconstrained optimisation on Riemannian manifolds

Coordinate-wise Armijo's condition


NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks, CVPR 2022 (Oral)

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

Proceedings of the 30th ACM International Conference on Multimedia

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level
  Natural Language Explanations


PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Monotonic Multihead Attention

Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS


A toolbox for near-field THz imaging simulation and image reconstruction.

Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries

Near-Field MIMO-ISAR Millimeter-Wave Imaging

Efficient CNN-Based Super Resolution Algorithms for Mmwave Mobile Radar Imaging

A Vision Transformer Approach for Efficient Near-Field SAR Super-Resolution under Array Perturbation

PROCEEDINGS OF THE 2022 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS)

Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution

IEEE transactions on aerospace and electronic systems

Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging
  Systems


TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade in Python.

Integrated Analysis of Copy Number Variation, Microsatellite Instability, and Tumor Mutation Burden Identifies an 11-Gene Signature Predicting Survival in Breast Cancer

Frontiers in cell and developmental biology

Bioinformatics Analysis the Expression Characteristics of RNA m6A Methylation Regulator in Breast Cancer Progression

Construction and validation of chemoresistance-associated tumor- infiltrating exhausted-like CD8+ T cell signature in breast cancer: cr-TILCD8TSig


Demonstration of the PIPG algorithm for trajectory optimization

Proportional-Integral Projected Gradient Method for Model Predictive Control

Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization

A Customised First-Order Solver for Real-Time Powered-Descent Guidance


Dense Passage Retrieval for Open-Domain Question Answering

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

AmbigQA: Answering Ambiguous Open-domain Questions

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction


A Mathematica package for the numerical computation of quasinormal modes

Overdamped modes in Schwarzschild-de Sitter and a Mathematica package for the numerical computation of quasinormal modes

Strong cosmic censorship for a scalar field in a Born-Infeld–de Sitter black hole

Strong cosmic censorship for a scalar field in an Einstein-Maxwell-Gauss-Bonnet-de Sitter black hole

Scaling similarities and quasinormal modes of D0 black hole solutions

The Journal of high energy physics/The journal of high energy physics

Strong cosmic censorship for a scalar field in a logarithmic-de Sitter black hole


Android in the Wild: A Large-Scale Dataset for Android Device Control

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone
  GUI Navigation

You Only Look at Screens: Multimodal Chain-of-Action Agents


Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs


Research code for using generative neural networks in Estimation of Distribution Algorithms (EDAs)

Denoising Autoencoders for fast Combinatorial Black Box Optimization

Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization

Deep Boltzmann Machines in Estimation of Distribution Algorithms for
  Combinatorial Optimization


remef: Remove Partial Effects

The eye-voice span during reading aloud

Linked linear mixed models: A joint analysis of fixation locations and fixation durations in natural reading

Speed-Accuracy Tradeoffs in Brain and Behavior: Testing the Independence of P300 and N400 Related Processes in Behavioral Responses to Sentence Categorization

Cross-Linguistic Word Recognition Development Among Chinese Children: A Multilevel Linear Mixed-Effects Modeling Approach

Positive Psychology Broadens Readers’ Attentional Scope During L2 Reading: Evidence From Eye Movements

Predictive pre-activation of orthographic and lexical-semantic representations facilitates visual word recognition

Predicting Known Sentences: Neural Basis of Proverb Reading Using Non-parametric Statistical Testing and Mixed-Effects Models

Object Properties Influence Visual Guidance of Motor Actions


Conditional generative adversarial networks for convolutional face generation

Generative Adversarial Networks

Variational methods for Conditional Multimodal Deep Learning

Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes.


[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training

SplitNet: Divide and Co-training.

Pathologies of Predictive Diversity in Deep Ensembles


scRNA-seq clustering, visualization, and differential expression pipeline from Sims Lab papers

Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease

Single-cell transcriptome analysis of lineage diversity in high-grade glioma

De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization

Deconvolution of cell type-specific drug responses in human tumor tissue with single-cell RNA-seq

Subcellular proteomics of dopamine neurons in the mouse brain reveals axonal enrichment of proteins encoded by Parkinson’s disease-linked genes

Single-Cell Analysis of 5-ALA Intraoperative Labeling Specificity for Glioblastoma

Conserved and cell type-specific transcriptional responses to IFN-γ in the ventral midbrain

A cell state specific metabolic vulnerability to GPX4-dependent ferroptosis in glioblastoma

bioRxiv : the preprint server for biology


An annotated corpus of argumentative microtexts

Joint prediction in MST-style discourse parsing for argumentation mining

Empirical Methods in Natural Language Processing

Parallel Discourse Annotations on a Corpus of Short Texts

Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates

A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations


On the Inference Calibration of Neural Machine Translation

Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation

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


Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge


Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

Early Stopping for Deep Image Prior

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors


A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


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

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

Graph Contrastive Learning Automated

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Graph-based Molecular Representation Learning


Heuristic Analysis for NLI Systems

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

Grounding Representation Similarity with Statistical Testing

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

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


Adjust Decision Boundary for Class Imbalanced Learning

Focal Loss for Dense Object Detection

Class-Balanced Loss Based on Effective Number of Samples

Adjusting Decision Boundary for Class Imbalanced Learning


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

Bayesian Recurrent Neural Networks

Deep Deterministic Uncertainty: A New Simple Baseline

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

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


Python package to fit single and binary photometric SEDs. Automatically pull archive photometry from the main surveys and use Bayesian inference to derive atmospheric parameters.

Looking into the cradle of the grave: J22564-5910, a potential young post-merger hot subdwarf

Orbital and atmospheric parameters of two wide O-type subdwarf binaries: BD-11°162 and Feige 80


Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting

Model-based Lifelong Reinforcement Learning with Bayesian Exploration


PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713

A Survey of Knowledge-enhanced Text Generation

Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems

Learning to Memorize in Neural Task-Oriented Dialogue Systems

Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue

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


Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.

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

Soft Actor-Critic Algorithms and Applications

Soft Actor-Critic for Discrete Action Settings


Actor Prioritized Experience Replay

Addressing Function Approximation Error in Actor-Critic Methods

Actor Prioritized Experience Replay


Watermarking Deep Neural Networks (USENIX 2018)

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

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

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

SoK: How Robust is Image Classification Deep Neural Network Watermarking?


[PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large
  Vision-Language Models

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video
  Recognition


SMILE: Mutual Information Learning for Integration of Single Cell Omics Data

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

基因组蛋白质组与生物信息学报

Deep Learning in Single-Cell Analysis

sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network


Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

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

Rapid Earthquake Association and Location

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

Journal of geophysical research. Solid earth


The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks


Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

NAS-Bench-101: Towards Reproducible Neural Architecture Search

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

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups


Improving Transferability of Adversarial Examples with Input Diversity

Image Super-Resolution as a Defense Against Adversarial Attacks

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

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Attack across Datasets

Adversarial Purification through Representation Disentanglement


Benchmark quantum circuits before and after optimization.

t|ket⟩: a retargetable compiler for NISQ devices

Automated optimization of large quantum circuits with continuous parameters

Reducing the number of non-Clifford gates in quantum circuits

An Efficient Quantum Compiler that reduces T count

Fast and effective techniques for T-count reduction via spider nest
  identities

Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices


Supervised Spiking Network

Low-activity supervised convolutional spiking neural networks applied to speech commands recognition

Technical report: supervised training of convolutional spiking neural networks with PyTorch

Encrypted internet traffic classification using a supervised spiking neural network


Visualisations for Convolutional Neural Networks in Pytorch

Visualizing and Understanding Convolutional Networks

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

SmoothGrad: removing noise by adding noise

Texture Synthesis Using Convolutional Neural Networks


Unsupervised Dialog Structure Learning

Discovering Dialog Structure Graph for Coherent Dialog Generation

Meeting of the Association for Computational Linguistics

Discovering Dialog Structure Graph for Open-Domain Dialog Generation


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

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

Determining epitope specificity of T cell receptors with TCRGP

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

The Journal of clinical investigation/The journal of clinical investigation

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


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

Learning TSP Requires Rethinking Generalization

Deep Policy Dynamic Programming for Vehicle Routing Problems

On Learning Paradigms for the Travelling Salesman Problem

Learning to Solve Routing Problems via Distributionally Robust Optimization

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

Adaptive solution prediction for combinatorial optimization


Torch code for using Residual Networks with LSTMs for Lipreading

Combining Residual Networks with LSTMs for Lipreading

End-to-end Audiovisual Speech Recognition

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

Deep word embeddings for visual speech recognition


Non-parallel voice conversion called ICRCycleGAN-VC based on CycleGAN and Inception-resNet module by Afiuny

CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion

Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames

Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech


Parameter Efficient Transfer Learning with Diff Pruning

Parameter-Efficient Transfer Learning with Diff Pruning

Training Neural Networks with Fixed Sparse Masks

Parameter-Efficient Fine-Tuning without Introducing New Latency


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

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

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

Black hole shadow with soft hairs

Comparison of Polarized Radiative Transfer Codes Used by the EHT Collaboration


The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Learning to Reconstruct Missing Data from Spatiotemporal Graphs with
  Sparse Observations

An End-to-End Time Series Model for Simultaneous Imputation and Forecast

Deep Learning for Multivariate Time Series Imputation: A Survey


Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.

Through the eye of the PLC: semantic security monitoring for industrial processes

Asia-Pacific Computer Systems Architecture Conference

TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems

PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18)

Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks

Timing-Based Anomaly Detection in SCADA Networks

IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems

International Conference on Software Engineering

Intrusion Detection for Sequence-Based Attacks with Reduced Traffic Models

Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen

Facilitating Protocol-independent Industrial Intrusion Detection Systems

Conference on Computer and Communications Security


Script to perform statistical significance test between ASR hypotheses.

LAE: Language-Aware Encoder for Monolingual and Multilingual ASR

Integrating Lattice-Free MMI Into End-to-End Speech Recognition

IEEE/ACM transactions on audio, speech, and language processing

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training


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

Scalable Global Optimization via Local Bayesian Optimization

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

Scalable Constrained Bayesian Optimization

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


90%+ with 40 labels. please see the readme for details.

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Clustering by Maximizing Mutual Information Across Views

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance


Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

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

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

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

Latent feature reconstruction for unsupervised anomaly detection

An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination

IEEE transactions on neural networks and learning systems


BERT models for many languages created from Wikipedia texts

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

WikiBERT models: deep transfer learning for many languages

ParsiNLU: A Suite of Language Understanding Challenges for Persian


Some Deep learning tools in Unity using CNTK

Proximal Policy Optimization Algorithms

Playing Atari with Deep Reinforcement Learning

Universal Style Transfer via Feature Transforms


Code used to create the DeepHistReg submission to the ANHIR challenge.

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

Learning-Based Affine Registration of Histological Images

Workshop on Biomedical Image Registration

Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images


A paper list of research about social knowledge graph

Motifs in Temporal Networks

An Experimental Study of State-of-the-Art Entity Alignment Approaches

PROCEEDINGS OF THE ASME 2020 29TH CONFERENCE ON INFORMATION STORAGE AND PROCESSING SYSTEMS (ISPS2020)

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

Personal Knowledge Graphs: A Research Agenda

PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes

International Conference on Information and Knowledge Management

Real-Time Streaming Graph Embedding Through Local Actions

Fast Attributed Multiplex Heterogeneous Network Embedding

Context-Aware Temporal Knowledge Graph Embedding

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020


Deep Keyphrase Generation

Keyphrase Generation with Correlation Constraints

Incorporating Linguistic Constraints into Keyphrase Generation


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

RecSplit: Minimal Perfect Hashing via Recursive Splitting

PTHash: Revisiting FCH Minimal Perfect Hashing

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

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

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

Dynamic Packed Compact Tries Revisited

Constructing Minimal Perfect Hash Functions Using SAT Technology


Places205-VGGNet models for scene recognition

Places205-VGGNet Models for Scene Recognition

Better Exploiting OS-CNNs for Better Event Recognition in Images

Collaborative Layer-wise Discriminative Learning in Deep Neural Networks


This repository contains 47,398 smart contracts extracted from the Ethereum network.

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


This repository is to develop novel AIs for complex C2 decision making. It consists of parallel branches for GUI and for AI development (coming soon) for the ARL Battlespace wargame.

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning

Battlespace: using AI to understand friendly vs. hostile decision dynamics in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III

Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics

ARL Battlespace: a platform for developing novel AI for complex adversarial reasoning in MDO

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV


Code for Backdoor Attacks Against Dataset Distillation

Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

Dataset Condensation with Gradient Matching

Dataset Distillation


Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020

Training Structured Neural Networks Through Manifold Identification and
  Variance Reduction

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


The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

PIQA: Reasoning about Physical Commonsense in Natural Language

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

WIQA: A dataset for "What if..." reasoning over procedural text


Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Graph Information Bottleneck

Combating Bilateral Edge Noise for Robust Link Prediction


Dependent Session Types

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

Linearly Typed Dyadic Group Sessions for Building Multiparty Sessions


Resources for the paper "PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction"

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction.


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

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

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

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

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

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


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


Code release for the ECCV 2016 paper

LIFT: Learned Invariant Feature Transform

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

From handcrafted to deep local features


Optimized Utilities for PyTorch

Datamodels: Predicting Predictions from Training Data

TRAK: Attributing Model Behavior at Scale

Characterizing Datapoints via Second-Split Forgetting

ModelDiff: A Framework for Comparing Learning Algorithms

Rethinking Backdoor Attacks


Associating Objects with Transformers for Video Object Segmentation

Decoupling Features in Hierarchical Propagation for Video Object
  Segmentation

Scalable Video Object Segmentation with Identification Mechanism


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


A LoRa packet forwarder is a program running on the host of a LoRa gateway that forwards RF packets receive by the concentrator to a server through a IP/UDP link, and emits RF packets that are sent by the server.

Investigation of the Performance of TDoA-Based Localization Over LoRaWAN in Theory and Practice

Blockchain-Based Security Model for LoRaWAN Firmware Updates


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

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

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


Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

International Conference on Intelligent Transportation Systems

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

Poses as Queries: Image-to-LiDAR Map Localization with Transformers

CMRNext: Camera to LiDAR Matching in the Wild for Localization and
  Extrinsic Calibration


Pretrained Language Models for Korean

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

A novel hybrid methodology of measuring sentence similarity

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


WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Optimizing Dense Retrieval Model Training with Hard Negatives

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance


It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.

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

Adversarial Examples for Evaluating Reading Comprehension Systems

Efficient and Robust Question Answering from Minimal Context over Documents


Pretraining Efficiently on S2ORC!

Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

What's In My Big Data?

A Survey of Reasoning with Foundation Models

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

BlackMamba: Mixture of Experts for State-Space Models


Porn Content Pic or Video Recognization

A mid-level video representation based on binary descriptors: A case study for pornography detection

Spatiotemporal CNNs for Pornography Detection in Videos

Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks

Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection

A Novel Nudity Detection Algorithm for Web and Mobile Application Development

Deepfake pornography as a male gaze on fan culture


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

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

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

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

Monthly notices of the Royal Astronomical Society

Improving initial conditions for cosmological N-body simulations

The ABACUS cosmological N-body code

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

The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey

Isolating the linear signal when making redshift space distortion
  measurements


Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

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

Video Self-Stitching Graph Network for Temporal Action Localization


Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)

Is Attention Interpretable?

Fastformer: Additive Attention Can Be All You Need

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling

Attentive Pooling with Learnable Norms for Text Representation

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer


Repository for Zheng and Guha et al., 2021, "When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings"

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

DALE: Generative Data Augmentation for Low-Resource Legal NLP


A Pytorch implementation of missing data imputation using optimal transport.

Missing Data Imputation using Optimal Transport

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

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic
  Nearest-Neighbor Kernel Density Approach


PSI-Sigma

Recurrent SRSF2 mutations in MDS affect both splicing and NMD

PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis


Implementation of  paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Graph Self-Supervised Learning: A Survey

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

Self-supervised Learning on Graphs: Deep Insights and New Direction


[ICCV 2021] WaveFill: A Wavelet-based Generation Network for Image Inpainting

Learning to Scale Temperature in Masked Self-Attention for Image
  Inpainting


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

Decomposing the internal faraday rotation of black hole accretion flows

Monthly Notices of the Royal Astronomical Society

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

PATOKA: Simulating Electromagnetic Observables of Black Hole Accretion

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

The Role of Adaptive Ray Tracing in Analyzing Black Hole Structure

Black Hole Polarimetry I. A Signature of Electromagnetic Energy Extraction


Byzantine fault-tolerant ordering service for Hyperledger Fabric

SoK: Consensus in the Age of Blockchains

A Byzantine Fault-Tolerant Ordering Service for the Hyperledger Fabric Blockchain Platform

FireLedger: A High Throughput Blockchain Consensus Protocol

A PoW-less Bitcoin with Certified Byzantine Consensus


The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

Trusted Multi-View Classification

A Variational Information Bottleneck Approach to Multi-Omics Data Integration


Implementation of Random Expert Distillation

Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

Imitation with Neural Density Models

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

Support-weighted Adversarial Imitation Learning


Roto-Translation Covariant Convolutional Networks for Medical Image Analysis

Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis

Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses


This is the code for Negation and Speculation Cue Detection and Scope Resolution using BERT, XLNet and RoBERTa

NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution

Multitask Learning of Negation and Speculation using Transformers

International Workshop on Health Text Mining and Information Analysis

Resolving the Scope of Speculation and Negation using Transformer-Based Architectures


Ælæctra was created as part of a Cognitive Science bachelor thesis, in the attempt to enhance the Danish NLP community with a more efficient Transformer-based language model.

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

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

DaCy: A Unified Framework for Danish NLP


Sequential Integrated Gradients: a simple but effective method for explaining language models

Learning Perturbations to Explain Time Series Predictions

Time Interpret: a Unified Model Interpretability Library for Time Series


A 3'-end adapter contaminant trimmer

AdapterRemoval v2: rapid adapter trimming, identification, and read merging

Self-renewing diploid Axin2+ cells fuel homeostatic renewal of the liver

Genome-wide transcriptional profiling of Botrytis cinerea genes targeting plant cell walls during infections of different hosts

The within-host population dynamics of Mycobacterium tuberculosis vary with treatment efficacy

Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment

Nascent RNA sequencing reveals mechanisms of gene regulation in the human malaria parasite Plasmodium falciparum

Sequencing the transcriptome of milk production: milk trumps mammary tissue

(Per)Chlorate-Reducing Bacteria Can Utilize Aerobic and Anaerobic Pathways of Aromatic Degradation with (Per)Chlorate as an Electron Acceptor

Using RNA-seq to characterize responses to 4-hydroxyphenylpyruvate dioxygenase (HPPD) inhibitor herbicide resistance in waterhemp (Amaranthus tuberculatus)

Synthetic and Evolutionary Construction of a Chlorate-Reducing Shewanella oneidensis MR-1


Python scripts for physics-informed neural networks for corrosion-fatigue prognosis

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

Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis

Proceedings of the Annual Conference of the Prognostics and Health Management Society

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


Creative Commons Attribution Share Alike 4.0 International

Adversarial attacks on explanations and how to defend them

Adversarial Attacks and Defenses in Explainable Artificial Intelligence:
  A Survey

Trends in Explainable AI (XAI) Literature


A collection of graph neural networks implementations in JAX

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks

How Powerful are Graph Neural Networks?

Gated Graph Sequence Neural Networks

Principal Neighbourhood Aggregation for Graph Nets


This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems

IEEE transactions on knowledge and data engineering

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


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


[AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".

Peer Collaborative Learning for Online Knowledge Distillation

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation


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

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

Speaker Anonymization with Phonetic Intermediate Representations

Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy

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


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


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

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Deep Compositional Metric Learning


Histology processing

Behavioral origin of sound-evoked activity in mouse visual cortex

Mouse frontal cortex mediates additive multisensory decisions

Structural and functional map for forelimb movement phases between cortex and medulla

Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus

Spatial Atlas of the Mouse Central Nervous System at Molecular Resolution

Tools for accurate post hoc determination of marker location within whole-brain microscopy images

Reusable, flexible, and lightweight chronic implants for Neuropixels probes

bioRxiv : the preprint server for biology


Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction


Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions"  (ICLR 2019)

Definitions, methods, and applications in interpretable machine learning

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

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Interpreting and improving deep-learning models with reality checks


TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification".

Attention Is All You Need

Learnable pooling with Context Gating for video classification


This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.

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

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review


Python program to calculate bolometric luminosities from astrophysical observations

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

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

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

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

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

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

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

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

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

SN 2018bsz: significant dust formation in a nearby superluminous
  supernova


[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

Toward Robust Neural Image Compression: Adversarial Attack and Model Finetuning

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression


TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression

DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps

SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for
  Structured Representations of High-Rate Time Series


NeurIPS 2020, "A Topological Filter for Learning with Label Noise".

Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels


A set of functions to visualise genotypes based on a VCF

Homozygosity at its Limit: Inbreeding Depression in Wild Arabidopsis arenosa Populations

A large and diverse autosomal haplotype is associated with sex-linked colour polymorphism in the guppy


Batch Active Learning Using Determinantal Point Processes

Context Aware Image Annotation in Active Learning

Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes

Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

ALdataset: a benchmark for pool-based active learning

Re-Benchmarking Pool-Based Active Learning for Binary Classification


Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

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

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


Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models


Read routines for Eagle HDF5 snapshots

Using machine learning to study the kinematics of cold gas in galaxies

The origin of correlations between mass, metallicity, and morphology in galaxies from the eagle simulation


Corpora for evaluating NLU services (like API.ai, RASA, Microsoft LUIS, ...)

Subword Semantic Hashing for Intent Classification on Small Datasets

International Joint Conference on Neural Network

Intent Mining from past conversations for conversational agent

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

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

Attentively Embracing Noise for Robust Latent Representation in BERT

International Conference on Computational Linguistics

SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems

Conference on Computational Natural Language Learning


MHC-peptide class II interaction prediction, binding, presentation

BERTMHC: improved MHC–peptide class II interaction prediction with transformer and multiple instance learning

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction

BERTMHC: Improves MHC-peptide class II interaction prediction with transformer and multiple instance learning


Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models.

Combinatory Grammar Tells Underlying Relevance among Entities

Findings of the Association for Computational Linguistics: EMNLP 2022


Official implementation of Masked-Attention Transformers for Surgical Instrument Segmentation

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

SAR-RARP50: Segmentation of surgical instrumentation and Action
  Recognition on Robot-Assisted Radical Prostatectomy Challenge


Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors

Sparse Overcomplete Word Vector Representations

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Neural-based Noise Filtering from Word Embeddings


Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

LION: Latent Point Diffusion Models for 3D Shape Generation


The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Divide and Contrast: Source-free Domain Adaptation via Adaptive
  Contrastive Learning


CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval

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

Overview of the TREC 2022 NeuCLIR Track

Synthetic Cross-language Information Retrieval Training Data


ZTF Uniform Depth Survey Image Processing Pipeline

A Search for Extragalactic Fast Blue Optical Transients in ZTF and the Rate of AT2018cow-like Transients

The Zwicky Transient Facility Type Ia supernova survey: first data release and results

Variability-selected Intermediate-mass Black Hole Candidates in Dwarf Galaxies from ZTF and WISE

Two c's in a pod: Cosmology independent measurement of the Type Ia supernova colour-luminosity relation with a sibling pair

Cosmological Fast Optical Transients with the Zwicky Transient Facility: A Search for Dirty Fireballs


The official implementation of "Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN"

Video Diffusion Models

Temporal Generative Adversarial Nets with Singular Value Clipping

Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models

VideoGPT: Video Generation using VQ-VAE and Transformers

CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN

International journal of computer vision

Diffusion Models for Video Prediction and Infilling

MAGVIT: Masked Generative Video Transformer

Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs


Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.

Simplifying Neural Networks using Formal Verification

Verifying Quantized Neural Networks using SMT-Based Model Checking

Provable Preimage Under-Approximation for Neural Networks (Full Version)


Deep Learning with Differential Privacy

Conference on Computer and Communications Security

OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization

Local Differentially Private Heavy Hitter Detection in Data Streams with
  Bounded Memory


Guided synteny alignment between duplicated genomes (within specified quota constraint)

The tomato genome sequence provides insights into fleshy fruit evolution

Screening synteny blocks in pairwise genome comparisons through integer programming

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Automated conserved non-coding sequence (CNS) discovery reveals differences in gene content and promoter evolution among grasses


This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Towards a Robust Deep Neural Network in Texts: A Survey

An Alternative Surrogate Loss for PGD-based Adversarial Testing


Some recent Quantizing techniques on PyTorch

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Binarized Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Convolutional Neural Networks using Logarithmic Data Representation


BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Machine learning approach of automatic identification and counting of blood cells

Classification of white blood cells using weighted optimized deformable convolutional neural networks

Artificial cells, nanomedicine, and biotechnology

A review of microscopic analysis of blood cells for disease detection with AI perspective

Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges

Automated human cell classification in sparse datasets using few-shot learning

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical
  Imaging via Second-order Graph Matching

Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells

Computational and mathematical methods in medicine

MAIScope: A low-cost portable microscope with built-in vision AI to
  automate microscopic diagnosis of diseases in remote rural settings

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities


The official pytorch code of DeFLOCNet: Deep Image Editing via Flexible Low-level Controls (CVPR2021)

Image Inpainting for Irregular Holes Using Partial Convolutions

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color


Code/figures in Right for the Right Reasons

COVID-19 Image Data Collection: Prospective Predictions Are the Future

The journal of machine learning for biomedical imaging

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

A Typology for Exploring the Mitigation of Shortcut Behavior

Next2You: Robust Copresence Detection Based on Channel State Information

ACM transactions on the internet of things

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.

Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays


"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

Toward Convolutional Blind Denoising of Real Photographs

Unprocessing Images for Learned Raw Denoising

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

The Adaptive Edge Detection Algorithm Based on Nonseparable Sampling Morphological Wavelet


Code for EMNLP2019 paper "Low-Resource Response Generation with Template Prior"

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Learning Neural Templates for Text Generation

Empirical Methods in Natural Language Processing


Dataset for car detection on aerial photos applications

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

The INUS Platform: A Modular Solution for Object Detection and Tracking from UAVs and Terrestrial Surveillance Assets


Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

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


A Plug-and-Play Method for Controlled Text Generation

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

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

Most Language Models can be Poets too: An AI Writing Assistant and
  Constrained Text Generation Studio


中文常用停用词表（哈工大停用词表、百度停用词表等）

Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding

Reproducibility Issues for BERT-based Evaluation Metrics

MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora

CHAMP: Characterizing Undesired App Behaviors from User Comments Based on Market Policies

Unraveling the Mystery of Artifacts in Machine Generated Text

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Classification and Causes Identification of Chinese Civil Aviation Incident Reports

What is Discussed about COVID-19: A Multi-Modal Framework for Analyzing Microblogs from Sina Weibo without Human Labeling

Computers, materials & continua/Computers, materials & continua (Print)

Mining the vaccination willingness of China using social media data

International journal of medical informatics


Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling"

GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling

A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding

A Transformer-based Threshold-Free Framework for Multi-Intent NLU

Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders

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

MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention


Find introgressed segments

Million-year-old DNA sheds light on the genomic history of mammoths

Different historical generation intervals in human populations inferred from Neanderthal fragment lengths and mutation signatures

Ghost admixture in eastern gorillas


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

Summarizing Medical Conversations via Identifying Important Utterances

Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions

A Survey for Biomedical Text Summarization: From Pre-trained to Large
  Language Models

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality


SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection

A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert
  knowledge in text supervision


Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Deep Ensembles: A Loss Landscape Perspective

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Laplace Redux -- Effortless Bayesian Deep Learning


Source code of paper “A Novel Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation”

A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation

Contextual Knowledge Learning For Dialogue Generation


An image captioning model that is inspired by the Show, Attend and Tell paper (https://arxiv.org/abs/1502.03044) and the Sequence Generative Adversarial Network paper (https://arxiv.org/abs/1609.05473)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Improving Image Captioning with Conditional Generative Adversarial Nets

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning


MultiTask Environments for Reinforcement Learning.

Multi-Task Reinforcement Learning with Context-based Representations

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Block Contextual MDPs for Continual Learning

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization

Contextualize Me -- The Case for Context in Reinforcement Learning


Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Overcoming Catastrophic Forgetting by Generative Regularization

Online Prototype Learning for Online Continual Learning


[IEEE TCYB 2023] The first large-scale tracking dataset by fusing RGB and Event cameras.

VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Revisiting Color-Event based Tracking: A Unified Network, Dataset, and
  Metric

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark
  Dataset and A Novel Baseline

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video
  Recognition


Log-Can: Local-Global Class-Aware Network For Semantic Segmentation of Remote Sensing Images

SACANet: scene-aware class attention network for semantic segmentation of remote sensing images


Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

Meeting of the Association for Computational Linguistics

Towards a Robust Deep Neural Network in Texts: A Survey

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples


Evaluation of semi-supervised learning on challenging datasets

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop

Semi-Supervised Learning with Taxonomic Labels


"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

Digging into Uncertainty in Self-supervised Multi-view Stereo

Escaping Stochastic Traps with Aleatoric Mapping Agents


Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction


Offline Reinforcement Learning with Implicit Q-Learning

Online Decision Transformer

Mildly Conservative Q-Learning for Offline Reinforcement Learning

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Supported Policy Optimization for Offline Reinforcement Learning

Preference Transformer: Modeling Human Preferences using Transformers
  for RL

Optimal Transport for Offline Imitation Learning

Double Check Your State Before Trusting It: Confidence-Aware
  Bidirectional Offline Model-Based Imagination

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

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory
  Weighting


MIMICS: A Large-Scale Data Collection for Search Clarification

Generating Clarifying Questions for Information Retrieval

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

User Engagement Prediction for Clarification in Search

A Survey on Asking Clarification Questions Datasets in Conversational Systems

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


ICLR 2021, Contrastive Learning with Hard Negative Samples

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning Disentangled Group Representation as Feature

Contrastive Attraction and Contrastive Repulsion for Representation Learning

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future


Data and code used in the 2015 ACL paper, "Ground Truth for Grammatical Error Correction Metrics"

Transforming Delete, Retrieve, Generate Approach for Controlled Text
  Style Transfer

On Variational Learning of Controllable Representations for Text without Supervision

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A
  Comprehensive Evaluation

Learning to Ask Unanswerable Questions for Machine Reading Comprehension

GLEU Without Tuning

Grammatical Error Correction: A Survey of the State of the Art

Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction.

A Reassessment of Reference-Based Grammatical Error Correction Metrics

International Conference on Computational Linguistics

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation


source code of the paper Graphical Generative Adversarial Networks

Adversarially Learned Inference

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

From optimal transport to generative modeling: the VEGAN cookbook


Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Categorical Reparameterization with Gumbel-Softmax

Semi-Supervised Learning with Deep Generative Models

Training Latent Variable Models with Auto-encoding Variational Bayes: A
  Tutorial


MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators


Semantic Technologies for the AIDA project

TURL: Table Understanding through Representation Learning

Learning Semantic Annotations for Tabular Data

Canonicalizing Knowledge Base Literals


A Data-Driven Graph Generative Model for Temporal Interaction Networks

DYMOND: DYnamic MOtif-NoDes Network Generative Model

Using Motif Transitions for Temporal Graph Generation

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

DAMNETS: A Deep Autoregressive Model for Generating Markovian Network
  Time Series


Bayesian Analysis for Stellar Evolution

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. I. STATISTICAL AND COMPUTATIONAL METHODS

Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters – III. Analysis of 30 Clusters

Monthly notices of the Royal Astronomical Society

A BAYESIAN ANALYSIS OF THE AGES OF FOUR OPEN CLUSTERS

BAYESIAN ANALYSIS OF TWO STELLAR POPULATIONS IN GALACTIC GLOBULAR CLUSTERS. II. NGC 5024, NGC 5272, AND NGC 6352

New Determination of Fundamental Properties of Palomar 5 Using Deep DESI Imaging Data

Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9):
  User's Manual


Generalised Lomb-Scargle periodogram

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

The CARMENES search for exoplanets around M dwarfs. Two temperate Earth-mass planet candidates around Teegarden's Star

e-Archivo (Universidad Carlos III de Madrid)

TOI-3714 b and TOI-3629 b: Two Gas Giants Transiting M Dwarfs Confirmed with the Habitable-zone Planet Finder and NEID

HD 191939 revisited: New and refined planet mass determinations, and a new planet in the habitable zone

TOI-3984 A b and TOI-5293 A b: Two Temperate Gas Giants Transiting Mid-M Dwarfs in Wide Binary Systems

A close-in giant planet escapes engulfment by its star

Radio emission in a nearby, ultra-cool dwarf binary: A multifrequency study

Mid-infrared time-domain study of recent dust production events in the extreme debris disc of TYC 4209-1322-1

Two super-Earths at the edge of the habitable zone of the nearby M dwarf
  TOI-2095


This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Densely Connected Convolutional Networks

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

On Convergence of Training Loss Without Reaching Stationary Points.


Video Noise Contrastive Estimation

Improved Baselines with Momentum Contrastive Learning

Self-Supervised Learning of Pretext-Invariant Representations

Watching the World Go By: Representation Learning from Unlabeled Videos

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset
  for Autonomous Driving


Sparse and structured neural attention mechanisms

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

A Regularized Framework for Sparse and Structured Neural Attention

The Ordered Weighted ℓ_1 Norm: Atomic Formulation, Projections, and Algorithms


Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

Adversarial Sampling for Active Learning

Label-Noise Robust Generative Adversarial Networks

Improving GAN Training with Probability Ratio Clipping and Sample
  Reweighting

Class-Distinct and Class-Mutual Image Generation with GANs


Software for the paper "Fast and robust active neuron segmentation in two-photon calcium imaging using spatio-temporal deep learning," Proceedings of the National Academy of Sciences (PNAS), 2019.

Decontaminate Traces From Fluorescence Calcium Imaging Videos Using Targeted Non-negative Matrix Factorization

ASTRA: a deep learning algorithm for fast semantic segmentation of large-scale astrocytic networks

bioRxiv : the preprint server for biology


Intent Contrastive Learning for Sequential Recommendation

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

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

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation