Graph-based alignment (Hierarchical Graph FM index)

Esr1+ cells in the ventromedial hypothalamus control female aggression

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

Residual chlorine disrupts the microbial communities and spreads antibiotic resistance in freshwater

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

Long Read Single-Molecule Real-Time Sequencing Elucidates Transcriptome-Wide Heterogeneity and Complexity in Esophageal Squamous Cells

Pig‐specific RNA editing during early embryo development revealed by genome‐wide comparisons

RNA-Seq Reveals the Underlying Molecular Mechanism of First Cleavage Time Affecting Porcine Embryo Development

Genome-wide characterization of Mariner-like transposons and their derived MITEs in the Whitefly Bemisia tabaci (Hemiptera: Aleyrodidae)

Transcriptome Analysis of Tetrahymena Thermophila Response to Exposure with Dihydroartemisinin


UCLANesl - NIST Differential Privacy Challenge (Match 3)

Differentially Private Mixed-Type Data Generation For Unsupervised Learning

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

Synthetic Data: Methods, Use Cases, and Risks


Quake III Arena GPL Source Release

Referencing Source Code Artifacts: A Separate Concern in Software Citation

Zipfian environments for Reinforcement Learning

Modified Fast Inverse Square Root and Square Root Approximation Algorithms: The Method of Switching Magic Constants

Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers

How to use Software Heritage for archiving and referencing your source
  code: guidelines and walkthrough

Strengthening Women's Trust in Social Capital in UIK

Stateful Rotor for Continuity of Quaternion and Fast Sensor Fusion Algorithm Using 9-Axis Sensors


The lack of benchmarking datasets for pedestrian stride length estimation makes it hard to pinpoint differences of published methods. Existing datasets either lack the ground-truth of each stride or are limited to small spaces with single scene or motion pattern. To fully evaluate the performance of proposed ASLE algorithm, we conducted benchmark dataset for natural pedestrian dead reckoning using smartphone sensors and FM-INS module. we leveraged the FM-INS module to provide the ground-truth of each stride with motion distance errors in 0.3% of the entire travel distance. The datasets were obtained from a group of healthy adults with natural motion patterns (fast walking, normal walking, slow walking, running, jumping). The datasets contained more than 22 km, 10000 strides of gait measurements. The datasets cover both indoor and outdoor cases, including: stairs, escalators, elevators, office environments, shopping mall, streets and metro station. To make it easier for readers to replicate experiment, we shared the sampling software.

Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders

Image-based gramian angular field processing for pedestrian stride-length estimation using convolutional neural network

IAES International Journal of Artificial Intelligence (IJ-AI)


Neural min-sum decoding in TensorFlow

Deep Learning Methods for Improved Decoding of Linear Codes

IEEE journal of selected topics in signal processing

Neural Offset Min-Sum Decoding

Learning from the Syndrome


Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Graph-based Molecular Representation Learning

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

Black Box Recursive Translations for Molecular Optimization


Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

A Super Fast Algorithm for Estimating Sample Entropy

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression

Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective


Our implementation of the LSTM version of Deep Knowledge Tracing (DKT)

How deep is knowledge tracing?

Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments

Deep Knowledge Tracing with Learning Curves


tools for error correction and working with long read data

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Error correction and assembly complexity of single molecule sequencing reads.

A comparative evaluation of hybrid error correction methods for error-prone long reads

Capture of complete ciliate chromosomes in single sequencing reads reveals widespread chromosome isoforms

What is in a lichen? A metagenomic approach to reconstruct the holo-genome of Umbilicaria pustulata


the Weka project with the GUI components removed so it works with Android

Design, implementation and validation of a novel open framework for agile development of mobile health applications

A MACHINE LEARNING APPROACH TO ANOMALY-BASED DETECTION ON ANDROID PLATFORMS

DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets


Constrained Policy Optimization

Benchmarking Deep Reinforcement Learning for Continuous Control

Constrained Policy Optimization

Constrained Markov Decision Processes via Backward Value Functions

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal
  Policy Optimization Algorithm

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Reconnaissance and Planning algorithm for constrained MDP


Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)

Unsupervised Learning of Debiased Representations with Pseudo-Attributes

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

Learning Debiased Classifier with Biased Committee

Mitigating Dataset Bias by Using Per-sample Gradient

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias


The RepeatScout 1.0.5, written by Pevzner et al.,  source code for browsing. The official release and more information are available at http://bix.ucsd.edu/repeatscout/

Pangenomic analysis identifies structural variation associated with heat tolerance in pearl millet

Repetitive DNA sequence detection and its role in the human genome

Allele-aware chromosome-level genome assembly of the autohexaploid Diospyros kaki Thunb


[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

Graph Self-Supervised Learning: A Survey

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

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

Augmentation-Free Self-Supervised Learning on Graphs

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Compact Graph Structure Learning via Mutual Information Compression

Data Augmentation on Graphs: A Technical Survey


TPC-H dbgen

Optimization of Multiple Correlated Queries by Detecting Similar Data Source with Hadoop/Hive

Indian journal of science and technology


Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Joint Synthesis of Safety Certificate and Safe Control Policy using
  Constrained Reinforcement Learning

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal
  Policy Optimization Algorithm

Constrained Update Projection Approach to Safe Policy Optimization

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning
  Research

Learn Zero-Constraint-Violation Policy in Model-Free Constrained
  Reinforcement Learning

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

MAIRA-1: A specialised large multimodal model for radiology report
  generation


Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

Square Attack: a query-efficient black-box adversarial attack via random search

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Projection & Probability-Driven Black-Box Attack

Black-box Adversarial Attacks with Bayesian Optimization

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks


Fast-GBS: a new pipeline for the efficient and highly accurate calling of SNPs from genotyping-by-sequencing data

Uridylation by TUT4/7 Restricts Retrotransposition of Human LINE-1s

Dietary Bacillus spp. enhanced growth and disease resistance of weaned pigs by modulating intestinal microbiota and systemic immunity

Genome-Wide Association and Genomic Prediction for Fry Color in Potato

Genome-Wide High-Throughput Screening to Investigate Essential Genes Involved in Methicillin-Resistant Staphylococcus aureus Sequence Type 398 Survival

Phytophthora betacei, a new species within Phytophthora clade 1c causing late blight on Solanum betaceum in Colombia

Genetic diversity and phylogeny of South African Meloidogyne populations using genotyping by sequencing

Mitochondrial Genomes from New Zealand’s Extinct Adzebills (Aves: Aptornithidae: Aptornis) Support a Sister-Taxon Relationship with the Afro-Madagascan Sarothruridae

Genotyping of Plasmodiophora brassicae reveals the presence of distinct populations

Targeted Capture of Phylogenetically Informative Ves SINE Insertions in Genus Myotis


This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Do Transformers Really Perform Bad for Graph Representation?

Graph Self-Supervised Learning: A Survey

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

Inference Attacks Against Graph Neural Networks

Graph-based Molecular Representation Learning

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems


Socially Aware Motion Planning with Deep Reinforcement Learning

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning


GMSS2.0 is a software package for implementing stochastic ground motion simulation using finite-fault sources.

An Updated Corner-Frequency Model for Stochastic Finite-Fault Ground-Motion Simulation

The bulletin of the Seismological Society of America/Bulletin of the Seismological Society of America

A Computational Tool for Ground-Motion Simulations Incorporating Regional Crustal Conditions

GMSS2.0: An Enhanced Software Program for Stochastic Finite-Fault Ground-Motion Simulation


The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020) by Junhyun Nam et al.

Mitigating Dataset Bias by Using Per-sample Gradient

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


Xray Image Classifier in collaboration with Chulalongkorn University Computational Molecular Biology Research Group

Squeeze-and-Excitation Networks

What Makes Training Multi-Modal Classification Networks Hard?

Diagnose like a Radiologist: Attention Guided Convolutional Neural
  Network for Thorax Disease Classification


An MPI Toolkit for large-scale genomic analysis

The comparison of four mitochondrial genomes reveals cytoplasmic male sterility candidate genes in cotton

Rhopalocnemis phalloides has one of the most reduced and mutated plastid genomes known

Comparative Analysis of Plastid Genomes in the Non-photosynthetic Genus Thismia Reveals Ongoing Gene Set Reduction

Chloroplast Genome Analysis of Two Medicinal Coelogyne spp. (Orchidaceae) Shed Light on the Genetic Information, Comparative Genomics, and Species Identification

Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep


The Limited Multi-Label Projection Layer

Training Neural Networks for and by Interpolation

The Differentiable Cross-Entropy Method


Polish BERT

HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish.

Pre-training Polish Transformer-based Language Models at Scale

The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task

International Workshop/Conference on Parsing Technologies

Detection of Criminal Texts for the Polish State Border Guard


Non-Autoregressive Predictive Coding

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Vector-Quantized Autoregressive Predictive Coding

Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies

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


TS-Net: Combining Modality Specific and Common Features for Multimodal Patch Matching

TS-NET: Combining Modality Specific and Common Features for Multimodal Patch Matching

Joint detection and matching of feature points in multimodal images

Attention-Based Multimodal Image Matching


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

AutoMeTS: The Autocomplete for Medical Text Simplification

Mitigating Data Scarcity for Large Language Models


One of the ancestors of River

Green AI

River: machine learning for streaming data in Python

Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA

Frouros: A Python library for drift detection in machine learning
  systems


(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

How Do Vision Transformers Work?

Vector Quantized Bayesian Neural Network Inference for Data Streams


Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

Regression Discontinuity Designs Using Covariates

Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs

Coverage error optimal confidence intervals for local polynomial regression


Easy-to-use Face Analysis Tool

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

AdaFace: Quality Adaptive Margin for Face Recognition

Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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

Bilinear Attention Networks

Towards VQA Models That Can Read

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

What's Different between Visual Question Answering for Machine
  "Understanding" Versus for Accessibility?


Red-C data processing

Studying RNA–DNA interactome by Red-C identifies noncoding RNAs associated with repressed chromatin compartment and reveals transcription dynamics

Approaches for Modes of Action Study of Long Non-Coding RNAs: From Single Verification to Genome-Wide Determination

International journal of molecular sciences


Fair Clustering Through Fairlets

Scalable Fair Clustering


COPOD: Copula-Based Outlier Detection

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

UADB: Unsupervised Anomaly Detection Booster


R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

Estimating Transfer Entropy via Copula Entropy

Variable Selection with Copula Entropy

Predicting TUG score from gait characteristics with video analysis and machine learning

Predicting MMSE Score from Finger-Tapping Measurement

copent: Estimating Copula Entropy in R.

copent: Estimating Copula Entropy and Transfer Entropy in R

Associations between finger tapping, gait and fall risk with application to fall risk assessment.


Verified compilation of space-efficient reversible circuits

Estimating the cost of generic quantum pre-image attacks on SHA-2 and
  SHA-3

Next Steps in Quantum Computing: Computer Science's Role

Verified Compilation of Space-Efficient Reversible Circuits


Fast Inference of Networks from Directed Regulations

Learning Causal Biological Networks With the Principle of Mendelian Randomization

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data

High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering

Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast

Causal inference in drug discovery and development


Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease
  Diagnosis with Pathological Images

Cross-scale Multi-instance Learning for Pathological Image Diagnosis


SpinalNet: Deep Neural Network with Gradual Input

SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SYSTEMS SCIENCE AND ENGINEERING (IEEE RASSE 2021)

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

Generating Synthetic Datasets by Interpolating along Generalized
  Geodesics

Reduction of Class Activation Uncertainty with Background Information

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis


A fast implementation of the LA Cosmic algorithm

SkyMapper Southern Survey: First Data Release (DR1)

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

The SED Machine: A Robotic Spectrograph for Fast Transient Classification

Publications of the Astronomical Society of the Pacific

Light echoes from the plateau in Eta Carinae’s Great Eruption reveal a two-stage shock-powered event

Monthly notices of the Royal Astronomical Society

Exceptionally fast ejecta seen in light echoes of Eta Carinae’s Great Eruption

Hyper Suprime-Cam Low Surface Brightness Galaxies. II. A Hubble Space Telescope Study of the Globular Cluster Systems of Ultradiffuse Galaxies in Groups*

Constraints on Cosmic-ray Acceleration Efficiency in Balmer Shocks of Two Young Type Ia Supernova Remnants in the Large Magellanic Cloud

New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep

Disintegration of Long-period Comet C/2019 Y4 (ATLAS). I. Hubble Space Telescope Observations

Discovery of a Very Large (~20 kpc) Galaxy at z=3.72


Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave

Real-Time Specular Highlight Removal Using Bilateral Filtering

A Survey of Specularity Removal Methods

Real-time highlight removal using intensity ratio.

Separation of reflection components by sparse non-negative matrix factorization

[papers] General Improvement Method of Specular Component Separation Using High-Emphasis Filter and Similarity Function

ITE transactions on media technology and applications

Analytical Survey of Highlight Detection in Color and Spectral Images

SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal

Specularity, Specular Reflectance


Tensorflow 1.14 for Bert, Bert UniLM, ALBert

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

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Unified Language Model Pre-training for Natural Language Understanding and Generation


Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)

Learning from Noisy Labels with Deep Neural Networks: A Survey

Combating noisy labels by agreement: A joint training method with
  co-regularization

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing
  Long-tailed datasets

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation


A Mathematica package for generating gravitational waveforms for nonspinning eccentric binary black hole mergers

Eccentric binary black hole inspiral-merger-ringdown gravitational waveform model from numerical relativity and post-Newtonian theory

Adding eccentricity to quasicircular binary-black-hole waveform models

Generalized quasi-Keplerian solution for eccentric, nonspinning compact binaries at 4PN order and the associated inspiral-merger-ringdown waveform


Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators

Representation Learning with Contrastive Predictive Coding

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information


Analytic calibration for differential privacy with Gaussian perturbations

Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

A Differentially Private Kernel Two-Sample Test


ICON for in-context operator learning

In-Context Operator Learning with Data Prompts for Differential Equation
  Problems

Fine-Tune Language Models as Multi-Modal Differential Equation Solvers

PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar
  Nonlinear Conservation Laws


PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Do ImageNet Classifiers Generalize to ImageNet?

Human uncertainty makes classification more robust

A Survey of Deep Learning for Scientific Discovery

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image
  Generation

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.

A Principled Evaluation Protocol for Comparative Investigation of the
  Effectiveness of DNN Classification Models on Similar-but-non-identical
  Datasets


This repository contains example of keras-tcn on easy way.

WaveNet: A Generative Model for Raw Audio

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Probabilistic Forecasting with Temporal Convolutional Neural Network


A Python wrapper for the ROUGE summarization evaluation package

Improving Abstractive Document Summarization with Salient Information Modeling

Meeting of the Association for Computational Linguistics

Long Text and Multi-Table Summarization: Dataset and Method

May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy
  Method for Natural Language Generation


Python routines for computing Navarro-Frenk-White halo properties

Measuring the Circumgalactic and Intergalactic Baryon Contents with Fast Radio Bursts

Weak-lensing calibration of a stellar mass-based mass proxy for redMaPPer and Voronoi Tessellation clusters in SDSS Stripe 82

Monthly Notices of the Royal Astronomical Society

Velocity dispersion and dynamical masses for 388 Galaxy Clusters and groups. Calibrating the M_ SZ–M_ dyn scaling relation for the PSZ2 sample

cluster-lensing: a new Python package for galaxy clusters & lensing

NFW: NFW v0.1


Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).

Increasing Precipitation Efficiency Amplifies Climate Sensitivity by Enhancing Tropical Circulation Slowdown and Eastern Pacific Warming Pattern


The official repository of "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution


Visualization of electron microscopy datasets with deep learning

Recent advances and applications of deep learning methods in materials science

Partial Scanning Transmission Electron Microscopy with Deep Learning

Warwick electron microscopy datasets

Machine learning: science and technology

Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning

Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering


Data and papers related to epigenetic clocks predicting age

DNA methylation-based biomarkers and the epigenetic clock theory of ageing

An epigenetic biomarker of aging for lifespan and healthspan

Epigenetic Predictor of Age

Aging of blood can be tracked by DNA methylation changes at just three CpG sites

DNA Methylation Clocks in Aging: Categories, Causes, and Consequences

Multi-tissue DNA methylation age predictor in mouse

Glycans Are a Novel Biomarker of Chronological and Biological Ages

The journals of gerontology. Series A, Biological sciences and medical sciences

Deep biomarkers of human aging: Application of deep neural networks to biomarker development

Using DNA Methylation Profiling to Evaluate Biological Age and Longevity Interventions

Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment


A web application for playing 20 Questions to crowdsource common sense.

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Editing Common Sense in Transformers

Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions

20Q: Overlap-Free World Knowledge Benchmark for Language Models

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)


Conservative Q learning in Jax

Soft Actor-Critic Algorithms and Applications

Conservative Q-Learning for Offline Reinforcement Learning

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning

Boosting Offline Reinforcement Learning via Data Rebalancing

Offline RL With Realistic Datasets: Heteroskedasticity and Support
  Constraints

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced
  Datasets

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online
  Reinforcement Learning


Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

Bag of Tricks for Adversarial Training

Adversarial Robustness under Long-Tailed Distribution

SOAR: Second-Order Adversarial Regularization

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial
  Training


Online Decision Transformer

Online Decision Transformer

Semi-Supervised Offline Reinforcement Learning with Action-Free
  Trajectories

Future-conditioned Unsupervised Pretraining for Decision Transformer

Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for
  Decision Making

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online
  Reinforcement Learning


Uncertainty Quantification

SpinalNet: Deep Neural Network with Gradual Input

Reduction of Class Activation Uncertainty with Background Information

Uncertainty Aware Neural Network from Similarity and Sensitivity


Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Spatial As Deep: Spatial CNN for Traffic Scene Understanding


QI package for Mathematica

Quantum Computing: A Taxonomy, Systematic Review and Future Directions

Shadow process tomography of quantum channels

Secure quantum computing for healthcare sector: A short analysis


Some toy examples of score matching algorithms written in PyTorch

Sliced Score Matching: A Scalable Approach to Density and Score Estimation

How to Train Your Energy-Based Models

Deep Energy Estimator Networks


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

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

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

Benchmarking the Robustness of LiDAR Semantic Segmentation Models


A Watermark for Large Language Models

Provable Robust Watermarking for AI-Generated Text

Robust Distortion-free Watermarks for Language Models

Watermarks in the Sand: Impossibility of Strong Watermarking for
  Generative Models


BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Binarized Neural Networks

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

Learning to Train a Binary Neural Network


Tensorflow implementation of preconditioned stochastic gradient descent

Equilibrated adaptive learning rates for non-convex optimization

Preconditioned Stochastic Gradient Descent

IEEE transactions on neural networks and learning systems

Preconditioner on Matrix Lie Group for SGD

Black Box Lie Group Preconditioners for SGD

Online Second Order Methods for Non-Convex Stochastic Optimizations


Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Auto-Encoding Variational Bayes

Momentum Contrast for Unsupervised Visual Representation Learning

Self-supervised driven consistency training for annotation efficient histopathology image analysis

Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology


seedr: Hydro and Thermal Time Seed Germination Models in R


Determining the RotAtion Count of pULsArs

Eight new millisecond pulsars from the first MeerKAT globular cluster census

An algorithm for determining the rotation count of pulsars

An in-depth investigation of 11 pulsars discovered by FAST

Eight Millisecond Pulsars Discovered in the Arecibo PALFA Survey

The High Time Resolution Universe Pulsar Survey -- XVI. Discovery and
  timing of 40 pulsars from the southern Galactic plane

TRAPUM discovery of 13 new pulsars in NGC 1851 using MeerKAT

HAL (Le Centre pour la Communication Scientifique Directe)

FAST early pulsar discoveries: Effelsberg follow-up

Timing of Eight Binary Millisecond Pulsars Found with Arecibo in Fermi-LAT Unidentified Sources

Discovery and Timing of Three Millisecond Pulsars in Radio and Gamma-Rays with the Giant Metrewave Radio Telescope and Fermi Large Area Telescope

Arecibo and FAST timing follow-up of 12 millisecond pulsars discovered in Commensal Radio Astronomy FAST Survey


G-SchNet - a generative model for 3d molecular structures

Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

MDM: Molecular Diffusion Model for 3D Molecule Generation

High-throughput property-driven generative design of functional organic
  molecules

Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for
  Molecule Generation


A ML-ready curated data set for a wide range of seismic signals from Pacific Northwest

Curated Pacific Northwest AI-ready Seismic Dataset

SeisCLIP: A seismology foundation model pre-trained by multi-modal data
  for multi-purpose seismic feature extraction


Combines Bayesian analyses from many datasets.

The eROSITA Final Equatorial-Depth Survey (eFEDS)

The Empirical Limits of Gyrochronology

A panchromatic view of infrared quasars: excess star formation and radio emission in the most heavily obscured systems

The COS CGM Compendium. IV. Effects of Varying Ionization Backgrounds on Metallicity Determinations in the z < 1 Circumgalactic Medium

Obscuration beyond the nucleus: infrared quasars can be buried in extreme compact starbursts

Statistical Aspects of X-ray Spectral Analysis


For CVPR2022 Submission

Manifold Mixup: Better Representations by Interpolating Hidden States

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

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning


Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks

IEEE journal on selected areas in communications

A Review of Graph Neural Networks and Their Applications in Power Systems

现代电力系统与清洁能源学报

Optimal Power Flow Using Graph Neural Networks


Generative networks as inverse problems with Scattering transforms

Fractional Wavelet-Based Generative Scattering Networks


BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

Progressive Training of A Two-Stage Framework for Video Restoration


Immunology-related bioinformatics data and tools

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

TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

The Immune Landscape of Cancer

xCell: digitally portraying the tissue cellular heterogeneity landscape

Absolute quantification of somatic DNA alterations in human cancer

Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment

CellMarker: a manually curated resource of cell markers in human and mouse

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology


[ICML 2022] Official implementation of "Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems".

Compressed Sensing using Generative Models

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models


Interim web space for the "AI for K-12" initiative

Exploring Machine Teaching with Children

Blind Users Accessing Their Training Images in Teachable Object Recognizers

Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices

Collaborative Machine Learning Model Building with Families Using Co-ML


Gromov-Wasserstein Learning for Graph Matching and Node Embedding

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces.

Unsupervised Manifold Alignment with Joint Multidimensional Scaling


Resources (conference/journal publications, references to dataset) for harmful memes detection.

A Survey on Automatic Detection of Hate Speech in Text

A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities

Detecting and Understanding Harmful Memes: A Survey

The self—harmed, visualized, and reblogged: Remaking of self-injury narratives on Tumblr

Disentangling Hate in Online Memes

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning

Violence detection in hollywood movies by the fusion of visual and mid-level audio cues

A survey of video violence detection


A paper collection about automated graph learning

Automated Machine Learning on Graphs: A Survey

GraphPAS: Parallel Architecture Search for Graph Neural Networks

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

Automated Graph Machine Learning: Approaches, Libraries and Directions

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study

Pacific Rim International Conference on Artificial Intelligence

ALGNN: Auto-Designed Lightweight Graph Neural Network


:microscope: A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data

CirComPara: A Multi‐Method Comparative Bioinformatics Pipeline to Detect and Study circRNAs from RNA‐seq Data

Disease-Associated Circular RNAs: From Biology to Computational Identification

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants


A Closer Look at How Fine-tuning Changes BERT

DirectProbe: Studying Representations without Classifiers

Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS

Findings of the Association for Computational Linguistics: ACL 2023


PyTorch implementation of  probabilistic deep forecast applied to air quality.

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting


The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

Semi-supervised semantic segmentation needs strong, varied perturbations

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning


This repository contains code to apply vision transformers on surface data

Surface Vision Transformers: Attention-Based Modelling applied to
  Cortical Analysis

Surface Analysis with Vision Transformers

The Multiscale Surface Vision Transformer


Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)

Learned Cardinalities: Estimating Correlated Joins with Deep Learning

Deep Unsupervised Cardinality Estimation

An End-to-End Learning-based Cost Estimator

Are We Ready For Learned Cardinality Estimation?

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

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


Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base completion.

Explaining Neural Matrix Factorization with Gradient Rollback

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods


Scripts and sources of the block-based reconstruction/refinement in cryo-EM

Pushing the resolution limit by correcting the Ewald sphere effect in single-particle Cryo-EM reconstructions

Assembly of complex viruses exemplified by a halophilic euryarchaeal virus

Cryo-EM structure of the varicella-zoster virus A-capsid


A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)

Representation Learning on Graphs with Jumping Knowledge Networks

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication


This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.

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

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

Capacity and Trainability in Recurrent Neural Networks


Removes shot noise from astronomical images using adaptive kernels

Close encounters: How stellar flybys shape planet-forming discs

The SPHERE view of three interacting twin disc systems in polarized light


Riemannian stochastic optimization algorithms: Version 1.0.3

Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Riemannian Stochastic Recursive Gradient Algorithm

International Conference on Machine Learning

Projection-free nonconvex stochastic optimization on Riemannian manifolds

Riemannian stochastic variance reduced gradient on Grassmann manifold

Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods.

Riemannian Natural Gradient Methods


code for "Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-Identification" in AAAI2022

Deep Residual Learning for Image Recognition

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification


Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

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


PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

A Differential Entropy Estimator for Training Neural Networks

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space

Variational f-Divergence and Derangements for Discriminative Mutual
  Information Estimation


Description and Discussion on DCASE2020 Challenge Task2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Anomalous Sound Detection as a Simple Binary Classification Problem with
  Careful Selection of Proxy Outlier Examples


EMNLP 2022 long paper "Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning"

HDLTex: Hierarchical Deep Learning for Text Classification

International Conference on Machine Learning and Applications

Benchmarking Natural Language Understanding Services for building Conversational Agents


VarSkip multiplex PCR designs for SARS-CoV-2 sequencing

Longitudinal analysis of serum neutralization of SARS-CoV-2 Omicron BA.2, BA.4, and BA.5 in patients receiving monoclonal antibodies

Virologic and Immunologic Characterization of COVID-19 Recrudescence after Nirmatrelvir/Ritonavir Treatment

Overcoming variant mutation-related impacts on viral sequencing and detection methodologies

Generalized use of Nirmatrelvir plus ritonavir (Paxlovid): Raising concerns

Enfermedades infecciosas y microbiología clínica

Neutralizing Antibody Responses After Severe Acute Respiratory Syndrome Coronavirus 2 BA.2 and BA.2.12.1 Infection Do Not Neutralize BA.4 and BA.5 and Can Be Blunted by Nirmatrelvir/Ritonavir Treatment


A collection of scripts for analyzing the data from the Gaia satellite

UOCS – III. UVIT catalogue of open clusters with machine learning-based membership using Gaia EDR3 astrometry

AstroSat Study of the Globular Cluster NGC 2298: Probable Evolutionary Scenarios of Hot Horizontal Branch Stars

UOCS-IX. AstroSat/UVIT Study of the Open Cluster NGC 2818: Blue Stragglers, Yellow Stragglers, Planetary Nebula, and their Membership

Discovery of the shell structure via break radii in the outer halo of the Milky Way

Tracing Milky Way substructure with an RR Lyrae hierarchical clustering forest

Using Gaia for studying Milky Way star clusters

Proceedings of the International Astronomical Union


Conservative Q-Learning for Offline Reinforcement Learning

Critic Regularized Regression

Decoupled Prioritized Resampling for Offline RL

Improving and Benchmarking Offline Reinforcement Learning Algorithms

Understanding, Predicting and Better Resolving Q-Value Divergence in
  Offline-RL


Understanding deep learning requires rethinking generalization

Generalizable Adversarial Training via Spectral Normalization

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory


Machine Translation using Transfromers

Attention Is All You Need

Layer Normalization

The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation


Large Eddy Simulator for Study of Urban Boundary-Layer Flows

Domain-Specific Acceleration and Auto-Parallelization of Legacy
  Scientific Code in FORTRAN 77 using Source-to-Source Compilation

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs


Pros and Cons of GAN Evaluation Measures: New Developments

Projected GANs Converge Faster

Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models


Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

Addressing Function Approximation Error in Actor-Critic Methods

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments


AIMS South Africa Short Course on Optimization

Convex Analysis and Monotone Operator Theory in Hilbert Spaces

CONVEX ANALYSIS AND MONOTONE OPERATOR THEORY IN HILBERT SPACES

Optimization Methods for Large-Scale Machine Learning

Convex Optimization: Algorithms and Complexity

First-Order Methods in Optimization

Introduction To Nonlinear Optimization: Theory, Algorithms, And Applications With Matlab

INTRODUCTION TO NONLINEAR OPTIMIZATION: THEORY, ALGORITHMS, AND APPLICATIONS WITH MATLAB


A lightweight accelerated proximal-gradient package for matlab

Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization

Generalized damped Newton algorithms in nonsmooth optimization via second-order subdifferentials

Information criteria for non-normalized models

Relaxed regularization for linear inverse problems


Sentires: A Toolkit for Phrase-level Sentiment Analysis

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Counterfactual Explainable Recommendation

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Generate Natural Language Explanations for Recommendation

Explainable Fairness in Recommendation

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

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

LLMRec: Benchmarking Large Language Models on Recommendation Task

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation

International Conference on the Theory of Information Retrieval

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

Counterfactual Explanation for Fairness in Recommendation


Dense Passage Retrieval for Open-Domain Question Answering

Learning to Retrieve Passages without Supervision

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training


Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)

Fast Discrete Distribution Clustering Using Wasserstein Barycenter With Sparse Support

A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters

Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem

Dimensionality Reduction for Wasserstein Barycenter

Simple approximative algorithms for free-support Wasserstein barycenters

Approximative Algorithms for Multi-Marginal Optimal Transport and
  Free-Support Wasserstein Barycenters

Fuzzy c-Means Clustering for Persistence Diagrams


Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based extension (MBPO).

Soft Actor-Critic Algorithms and Applications

When to Trust Your Model: Model-Based Policy Optimization

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model


"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification

Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization


Constituency parser for English and Chinese, built on the RNNG and In-Order parsers with BERT

Recurrent Neural Network Grammars

Multilingual Constituency Parsing with Self-Attention and Pre-Training

Cross-Domain Generalization of Neural Constituency Parsers

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022


[EMNLP'23] Code for Generating Data for Symbolic Language with Large Language Models

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning


Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness

Orthogonalizing Convolutional Layers with the Cayley Transform

projUNN: efficient method for training deep networks with unitary
  matrices

1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness


Creative Commons Attribution Share Alike 4.0 International

Structured argument extraction for Korean

Open Korean Corpora: A Practical Report

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

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing

A Survey on Awesome Korean NLP Datasets

Structured Argument Extraction of Korean Question and Command.


Python packages for post-processing Einstein Toolkit simulation data

kuibit: Analyzing Einstein Toolkit simulations with Python

Short gamma-ray burst jet propagation in binary neutron star merger environments

Monthly notices of the Royal Astronomical Society

GRMHD Simulations of Neutron-star Mergers with Weak Interactions: r-process Nucleosynthesis and Electromagnetic Signatures of Dynamical Ejecta

Jets from neutron-star merger remnants and massive blue kilonovae

Jet-environment interplay in magnetized binary neutron star mergers


Self-Adaptive Training: beyond Empirical Risk Minimization

Deep Gamblers: Learning to Abstain with Portfolio Theory

Selective Classification via One-Sided Prediction

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning

Towards Better Selective Classification


Code and data of “Diversified Arbitrary Style Transfer via Deep Feature Perturbation” (CVPR 2020)

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Universal Style Transfer via Feature Transforms


Code for "Temporal Difference Learning for Model Predictive Control"

TD-MPC2: Scalable, Robust World Models for Continuous Control

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive
  Control

One Policy to Dress Them All: Learning to Dress People with Diverse
  Poses and Garments

MoVie: Visual Model-Based Policy Adaptation for View Generalization

Finetuning Offline World Models in the Real World

Reparameterized Policy Learning for Multimodal Trajectory Optimization

Simplified Temporal Consistency Reinforcement Learning

Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning


State-of-the-art medical image registration methods

Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach

Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set


Library for working with 3D rotations in Matlab/Octave

Fused Angles: A Representation of Body Orientation for Balance

Fast Whole-Body Motion Control of Humanoid Robots with Inertia Constraints

Fused Angles and the Deficiencies of Euler Angles

Online Balanced Motion Generation for Humanoid Robots

Bipedal Walking with Corrective Actions in the Tilt Phase Space

Tilt Rotations and the Tilt Phase Space


This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"

Adversarially Robust Distillation

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

On the Utility of Prediction Sets in Human-AI Teams

Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective

Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

Multi-Relational Embedding for Knowledge Graph Representation and Analysis


Universal Representations: A Unified Look at Multiple Task and Domain Learning

Universal Representation Learning from Multiple Domains for Few-shot Classification

Knowledge Distillation for Multi-task Learning


Algorithm for detecting alternative splicing in a population of single cells. See details in Welch et al., Nucleic Acids Research 2016: http://nar.oxfordjournals.org/content/early/2016/01/05/nar.gkv1525.full

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

Molecular therapy. Methods & clinical development

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


The project for speech translation

CTC-based Non-autoregressive Speech Translation

Bridging the Granularity Gap for Acoustic Modeling


KDD CUP 2020 ML Track 2 "Adversarial Attacks and Defense on Academic Graph": 1st Place Solution

TDGIA:Effective Injection Attacks on Graph Neural Networks

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning

On the Robustness of Graph Neural Diffusion to Topology Perturbations

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach


Scripts to create the MLB dataset introduced in the paper Data-to-text Generation with Entity Modeling

Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification

May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy
  Method for Natural Language Generation


Official code repository for MLLM-as-a-Judge.

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

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

LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase

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


Uncertainty Guided Progressive GANs for Medical Image Translation

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Uncertainty-Guided Progressive GANs for Medical Image Translation

Uncertainty-aware Generalized Adaptive CycleGAN


This is provisional codes for a conference paper titled "Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensity in Different Datasets of Brain MRI".

U-Net: Convolutional Networks for Biomedical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

A Probabilistic U-Net for Segmentation of Ambiguous Images

Deep Learning based Systems for Crater Detection: A Review


Analysis pipelines for genomic sequencing data

The transcription factor Xrp1 is required for PERK-mediated antioxidant gene induction in Drosophila

Sequential targeting of YAP1 and p21 enhances the elimination of senescent cells induced by the BET inhibitor JQ1

Combination of a Sindbis-SARS-CoV-2 Spike Vaccine and αOX40 Antibody Elicits Protective Immunity Against SARS-CoV-2 Induced Disease and Potentiates Long-Term SARS-CoV-2-Specific Humoral and T-Cell Immunity

bioRxiv : the preprint server for biology

Potent and Targeted Sindbis Virus Platform for Immunotherapy of Ovarian Cancer

High-fidelity encoding of mechanostimuli by tactile food-sensing neurons requires an ensemble of ion channels


Computing various measures and generalization bounds on convolutional and fully connected networks

Exploring Generalization in Deep Learning

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Geometry of Optimization and Implicit Regularization in Deep Learning


SpeechGLUE is a speech version of the GLUE benchmark, driven by text-to-speech.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

SUPERB: Speech processing Universal PERformance Benchmark

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?


Research code for "Training Vision-Language Transformers from Captions Alone"

Masked Autoencoders Are Scalable Vision Learners

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision


A python script for finding telomeric repeats (TTAGGG/CCCTAA) in FASTA files

Genomic insights into the host specific adaptation of the Pneumocystis genus

A highly-contiguous genome assembly of the Eurasian spruce bark beetle, Ips typographus, provides insight into a major forest pest

A chromosomal-level reference genome of the widely utilized Coccidioides posadasii laboratory strain "Silveira"


Dynamic and static models for real-time facial emotion recognition

Deep Residual Learning for Image Recognition

VGGFace2: A dataset for recognising faces across pose and age

When Does Label Smoothing Help?

AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

IEEE transactions on affective computing

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

RAMAS: Russian Multimodal Corpus of Dyadic Interaction for studying emotion recognition

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study


I provide a python package for transformations between WD photometry (Gaia, SDSS, WISE, and many more) and physical parameters, based on interpolation of existing atmosphere grid and cooling models. If you use this tool, please cite this website and the corresponding papers of atmosphere grid (synthetic colors) and cooling models.

Carbon star formation as seen through the non-monotonic initial–final mass relation

Masses of White Dwarf Binary Companions to Type Ia Supernovae Measured from Runaway Velocities

Hyper-runaway and hypervelocity white dwarf candidates in Gaia
  Data Release 3: possible remnants from Ia/Iax supernova explosions or
  dynamical encounters


A Feature-based Vietnamese Named-Entity Recognition Model

Attentive Neural Network for Named Entity Recognition in Vietnamese

A Feature-Rich Vietnamese Named-Entity Recognition Model

A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign


Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Meta-Reinforcement Learning of Structured Exploration Strategies


[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

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

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems

BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks


Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

Real World Games Look Like Spinning Tops

Modelling Behavioural Diversity for Learning in Open-Ended Games


Code for "Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data"

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy


基于深度学习的验证码破解、对抗与反对抗研究

Explaining and Harnessing Adversarial Examples

Intriguing properties of neural networks

Adversarial Machine Learning: An Interpretation Perspective


Code accompanying "Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks"

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Detecting Underspecification with Local Ensembles


Regularizing and Optimizing LSTM Language Models

Improving Neural Language Models with a Continuous Cache

Building Language Models for Text with Named Entities


Honest inference in regression discontinuity designs

Inference in Regression Discontinuity Designs with a Discrete Running Variable

Optimal Inference in a Class of Regression Models

Association between Medicare eligibility at age 65 years and in-hospital treatment patterns and health outcomes for patients with trauma: regression discontinuity approach


A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Neural Optimal Transport with General Cost Functionals

Wasserstein Iterative Networks for Barycenter Estimation

Entropic Neural Optimal Transport via Diffusion Processes


Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"

A high-bias, low-variance introduction to Machine Learning for physicists

An exact mapping between the Variational Renormalization Group and Deep
  Learning

Scale-invariant feature extraction of neural network and renormalization group flow


The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings

Treat Different Negatives Differently: Enriching Loss Functions with
  Domain and Range Constraints for Link Prediction

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE


Microscopic diffusion anisotropy imaging made easy!

Multi-compartment microscopic diffusion imaging

Quantitative mapping of the per‐axon diffusion coefficients in brain white matter

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord

Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients

Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis

Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing

Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics

Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI.


CIDEr: Consensus-based Image Description Evaluation

Microsoft COCO Captions: Data Collection and Evaluation Server

SPICE: Semantic Propositional Image Caption Evaluation

Pre-gen metrics: Predicting caption quality metrics without generating captions

On Architectures for Including Visual Information in Neural Language
  Models for Image Description


Graph revised convolutional network (ECML-PKDD 2020)

Revisiting Semi-Supervised Learning with Graph Embeddings

Graph-Revised Convolutional Network

A Comparative Study on Robust Graph Neural Networks to Structural Noises


Implementation of the MIWAE method for deep generative modelling of incomplete data sets.

Missing Data Imputation using Optimal Transport

Gradient Importance Learning for Incomplete Observations

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows

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

Transformed Distribution Matching for Missing Value Imputation


MARNNs Can Learn Generalized Dyck Languages

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Context-Free Transductions with Neural Stacks

Can RNNs learn Recursive Nested Subject-Verb Agreements?

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis.

Reservoir stack machines


Prompt-to-Prompt Image Editing with Cross Attention Control

Zero-shot Image-to-Image Translation

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Noise Map Guidance: Inversion with Spatial Context for Real Image
  Editing


LLaMA: Open and Efficient Foundation Language Models

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

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

LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering
  with a Novel Dataset and Framework


Relationship and Entity Extraction Evaluation Dataset

NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence
  Understanding

Leveraging HTML in Free Text Web Named Entity Recognition


BERT 代码中文注释

Attention Is All You Need

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

Semi-supervised Sequence Learning


Pytorch implementation of Deep Variational Information Bottleneck

Deep Variational Information Bottleneck

Conditional entropy minimization principle for learning domain invariant representation features

Elastic Information Bottleneck


The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.

Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset

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

MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts


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

Generative Low-bitwidth Data Free Quantization

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

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


[ICML 2017] Robust estimation of mean and covariance in high dimensions

Robust PCA via Outlier Pursuit

Robust Estimators in High Dimensions without the Computational Intractability

Agnostic Estimation of Mean and Covariance

Being Robust (in High Dimensions) Can Be Practical

Robust Estimation and Generative Adversarial Nets


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

Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning

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

Proceedings on Privacy Enhancing Technologies

Measuring Information Leakage in Website Fingerprinting Attacks and Defenses

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

High Precision Open-World Website Fingerprinting


BiSUNA framework specialized to compile for the Xilinx Alveo U50

Preliminary study of applied binary neural networks for neural cryptography

Genetic and Evolutionary Computation Conference

Using Neuroevolved Binary Neural Networks to solve reinforcement learning environments

Asia Pacific Conference on Circuits and Systems

Evolved Binary Neural Networks Through Harnessing FPGA Capabilities

International Conference on Field-Programmable Technology

FPGA deployment of neuroevolved Binary Neural Networks

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)


A collection of drug discovery, classification and representation learning papers with deep learning.

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Applications of machine learning in drug discovery and development

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships

Journal of chemical information and modeling

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Deep-Learning-Based Drug-Target Interaction Prediction.

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Boosting Docking-Based Virtual Screening with Deep Learning

Predicting drug-target interaction using a novel graph neural network with 3D structure-embedded graph representation

CGBVS‐DNN: Prediction of Compound‐protein Interactions Based on Deep Learning


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

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

Is Homophily a Necessity for Graph Neural Networks?

How does Heterophily Impact the Robustness of Graph Neural Networks?

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

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

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

Unsupervised Network Embedding Beyond Homophily

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

Revisiting Signed Propagation for Multi-Class Graph Neural Networks


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

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

IEEE transactions on geoscience and remote sensing

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

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

IEEE geoscience and remote sensing letters

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

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


Tools for Modeling Niches and Distributions of Species


Phonetic and phonological vocoding platform

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

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

On structured sparsity of phonological posteriors for linguistic parsing

PhonVoc: A Phonetic and Phonological Vocoding Toolkit


Source Code of DNGR

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

A Survey on Network Embedding

Network Representation Learning: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review

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

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering


Deep Learning for Video Compressive Sensing

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

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

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

Reinforcement Learning for Adaptive Video Compressive Sensing


A Bert2Bert model which able to summarize articles!

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization


Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)

One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based
  Offline Reinforcement Learning


TRAM: Benchmarking Temporal Reasoning for Large Language Models

RoBERTa: A Robustly Optimized BERT Pretraining Approach

GPT-4 Technical Report

Llama 2: Open Foundation and Fine-Tuned Chat Models

PaLM 2 Technical Report


Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review

Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features

Planning sEEG implantation using automated lesion detection: retrospective feasibility study


Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs

Lossy Image Compression with Quantized Hierarchical VAEs

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression


Contains information links, articles, research papers, tweets, blog posts, companies etc and everything which is even minutely related to the field of Artificial Intelligence, Distributed Computing, Quantum Computing and Physics, Evolutionary Biology, Crypto-currency, Virual and Augmented Reality etc.

Deep Residual Learning for Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

Private Machine Learning in TensorFlow using Secure Computation


Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification

Ensemble Adversarial Training: Attacks and Defenses

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

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE transactions on information forensics and security


Learned Spectral Super-Resolution

An efficient CNN for spectral reconstruction from RGB images

MXR-U-Nets for Real Time Hyperspectral Reconstruction


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

Non-Autoregressive Machine Translation with Latent Alignments

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


spectrai: a deep learning framework for spectral data

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy

AeroRIT: A New Scene for Hyperspectral Image Analysis

spectrai: A deep learning framework for spectral data


The Fact Extraction and VERification (FEVER) Shared Task

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

A Review on Fact Extraction and Verification

Adversarial attacks against Fact Extraction and VERification

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

Improving Bot Response Contradiction Detection via Utterance Rewriting

Learning to Navigate Wikipedia by Taking Random Walks

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

Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim
  Identification in Unlabeled Data for Automated Fact-Checking


Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.

A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms

Meta-repository of screening mammography classifiers

Deep Learning for Automated Medical Image Analysis


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

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

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

Evaluating Ising Processing Units with Integer Programming

Boosting quantum annealer performance via sample persistence

On the Emerging Potential of Quantum Annealing Hardware for
  Combinatorial Optimization

Correction to: The potential of quantum annealing for rapid solution structure identification


Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation

Human Preferences as Dueling Bandits

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


Privacy-Preserving Electronic Ticket Scheme with Attribute-Based Credentials

An Interoperable Architecture for Usable Password-Less Authentication

Technical Report on a Virtual CTAP2 WebAuthn Authenticator


Materials related to our Sinn und Bedeutung 23 paper

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Muppet: Massive Multi-task Representations with Pre-Finetuning

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Evaluating BERT for natural language inference: A case study on the CommitmentBank

Empirical Methods in Natural Language Processing

Improving In-Context Few-Shot Learning via Self-Supervised Training

Knowledge is a Region in Weight Space for Fine-tuned Language Models


Automatically exported from code.google.com/p/plcscan

Walking under the ladder logic: PLC-VBS: a PLC control logic vulnerability scanning tool


Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

Your Diffusion Model is Secretly a Certifiably Robust Classifier

Augment then Smooth: Reconciling Differential Privacy with Certified
  Robustness


M2DP descriptor of a 3D point cloud

Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments

Semantic Graph Based Place Recognition for 3D Point Clouds

BVMatch: Lidar-Based Place Recognition Using Bird's-Eye View Images

International Conference on Robotics and Automation

PSE-Match: A Viewpoint-Free Place Recognition Method With Parallel Semantic Embedding

NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection


The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

Early introductions and community transmission of SARS-CoV-2 variant B.1.1.7 in the United States

medRxiv : the preprint server for health sciences

Dispersal patterns and influence of air travel during the global expansion of SARS-CoV-2 variants of concern

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel

Implementation of Genomic Surveillance of SARS-CoV-2 in the Caribbean: Lessons Learned for Sustainability in Resource-Limited Settings

Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil

Early Detection of the Recombinant SARS-CoV-2 XAN Variant in Bulgaria: Initial Genomic Insights into Yet Another Piece of the Growing Puzzle of Recombinant Clades


Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020

Neural Attention Distillation: Erasing Backdoor Triggers from Deep
  Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Webly-Supervised Fine-Grained Recognition with Partial Label Learning

Few-Shot Backdoor Attacks on Visual Object Tracking

Backdoor Cleansing with Unlabeled Data

Backdoor Defense via Deconfounded Representation Learning

DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation


This repo is the PyTorch implementation of ICASSP2021 paper "HIERARCHICAL ATTENTION FUSION FOR GEO-LOCALIZATION"

NetVLAD: CNN architecture for weakly supervised place recognition

ASLFeat: Learning Local Features of Accurate Shape and Localization

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

Hierarchical Attention Fusion for Geo-Localization


Image Captioning: Implementing the Neural Image Caption Generator

Show and Tell: A Neural Image Caption Generator

Deep Visual-Semantic Alignments for Generating Image Descriptions

Where to put the image in an image caption generator


A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"

TALL: Temporal Activity Localization via Language Query

MAC: Mining Activity Concepts for Language-based Temporal Localization

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

Video Moment Localization using Object Evidence and Reverse Captioning


Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online
  Reinforcement Learning


TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023.

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations


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

Discovering Latent Concepts Learned in BERT

Discovering Salient Neurons in Deep NLP Models

A Linguistic Study on Relevance Modeling in Information Retrieval


Federated Learning Based on Dynamic Regularization

FedLab: A Flexible Federated Learning Framework

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias
  Estimation


Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

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

Fixed-sized representation learning from offline handwritten signatures of different sizes

International journal on document analysis and recognition

A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification


Code for EMNLP 2022 main conference paper "Information-Transport-based Policy for Simultaneous Translation"

Better Simultaneous Translation with Monotonic Knowledge Distillation

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

End-to-End Simultaneous Speech Translation with Differentiable Segmentation


[CVPR2023] Practical Network Acceleration with Tiny Sets

Compressing Models with Few Samples: Mimicking then Replacing


Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems


Code release for DeepJudge (S&P'22)

Copy, Right? A Testing Framework for Copyright Protection of Deep
  Learning Models

Deep Intellectual Property Protection: A Survey


This is the Grammarly's Yahoo Answers Formality Corpus

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

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE transactions on artificial intelligence

Improving Formality Style Transfer with Context-Aware Rule Injection

From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey

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

An Evaluation of Disentangled Representation Learning for Texts

Meeting of the Association for Computational Linguistics


Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).


Open-Source PSCAD Grid-Following and Grid-Forming Inverters and A Benchmark for Zero-Inertia Power System Simulations

2021 IEEE Kansas Power and Energy Conference (KPEC)

Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation

Droop-e: Exponential Droop as a Function of Power Output for
  Grid-Forming Inverters with Autonomous Power Sharing

Interactive Power to Frequency Dynamics Between Grid-Forming Inverters and Synchronous Generators in Power Electronics-Dominated Power Systems


Compound Probabilistic Context-Free Grammars for Grammar Induction

Improved Latent Tree Induction with Distant Supervision via Span Constraints

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

International Conference on Computational Logic

Ensemble Distillation for Unsupervised Constituency Parsing

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

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


One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

The DeepFake Detection Challenge (DFDC) Dataset

A Convolutional LSTM based Residual Network for Deepfake Video Detection


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

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Provably Minimally-Distorted Adversarial Examples

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Snooping Attacks on Deep Reinforcement Learning

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


Traffic dataset USTC-TFC2016

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

Zenodo (CERN European Organization for Nuclear Research)

Transfer-Learning-Based Intrusion Detection Framework in IoT Networks

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

NetGPT: Generative Pretrained Transformer for Network Traffic

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


[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features

Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval


Code for density estimation with nonparametric cluster shapes.

Warped Mixtures for Nonparametric Cluster Shapes


MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing


Self-Supervised Euphemism Detection and Identification for Content Moderation, IEEE S&P (Oakland) 2021

What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?

Tools for Automated Analysis of Cybercriminal Markets

Euphemistic Phrase Detection by Masked Language Model


signatselect: Identifying signatures of selection

Detecting evolutionary forces in language change

Identifying Signatures of Selection in Genetic Time Series

A non-equilibrium neutral model for analysing cultural change


Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP


Privacy-preserving Neural Representations of Text

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness

A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification


Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Autoencoding beyond pixels using a learned similarity metric

BEGAN: Boundary Equilibrium Generative Adversarial Networks

Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions


Language-agnostic BERT Sentence Embedding (LaBSE)

Claim Matching Beyond English to Scale Global Fact-Checking

Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages

Multilingual Text Classification for Dravidian Languages


Code for "Learning Deep Network Representations with Adversarially Regularized Autoencoders."

Deep Learning on Graphs: A Survey


Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Tent: Fully Test-time Adaptation by Entropy Minimization

Towards Stable Test-Time Adaptation in Dynamic Wild World

EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization

DELTA: degradation-free fully test-time adaptation

Feature Alignment and Uniformity for Test Time Adaptation

Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization

RDumb: A simple approach that questions our progress in continual
  test-time adaptation

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams


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

mixup: Beyond Empirical Risk Minimization

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

AutoAugment: Learning Augmentation Policies from Data

Randaugment: Practical automated data augmentation with a reduced search space

Sharpness-Aware Minimization for Efficiently Improving Generalization


Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

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

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation


In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.

Design and Implementation of Traffic Generation Model and Spectrum Requirement Calculator for Private 5G Network

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions

Modeling and Analysis of mMTC Traffic in 5G Base Stations


[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

Learning from Noisy Labels with Deep Neural Networks: A Survey

Bag of Tricks for Adversarial Training

Self-Adaptive Training: beyond Empirical Risk Minimization

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning

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


HANNA, a large annotated dataset of Human-ANnotated NArratives for ASG evaluation.

RoBERTa: A Robustly Optimized BERT Pretraining Approach

CTRL: A Conditional Transformer Language Model for Controllable Generation

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

A Temporal Variational Model for Story Generation


We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

READ: Aggregating Reconstruction Error into Out-of-distribution
  Detection

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


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

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

ISPRS international journal of geo-information

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

Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

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

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


Video Feature Extraction Code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

Learning Transferable Visual Models From Natural Language Supervision

Learning a Grammar Inducer from Massive Uncurated Instructional Videos


Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense


Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

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

Methods for Computing Legal Document Similarity: A Comparative Study

Cross-Domain Generalization and Knowledge Transfer in Transformers
  Trained on Legal Data

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

International Conference on Legal Knowledge and Information Systems

Data-Centric Machine Learning in the Legal Domain


GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

SimplE Embedding for Link Prediction in Knowledge Graphs