NAS Parallel Benchmarks 3.0 OpenMP C version

The ARM Scalable Vector Extension

Posit NPB: Assessing the Precision Improvement in HPC Scientific Applications

Parallel Processing and Applied Mathematics

Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime
  Constructs


BEER determines an ECC code's parity-check matrix based on the uncorrectable errors it can cause. BEER targets Hamming codes that are used for DRAM on-die ECC but can be extended to apply to other linear block codes (e.g., BCH, Reed-Solomon). BEER is described in the 2020 MICRO paper by Patel et al.: https://arxiv.org/abs/2009.07985.

Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics

HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes

Enabling Effective Error Mitigation in Memory Chips That Use On-Die
  Error-Correcting Codes

Improving DRAM Performance, Reliability, and Security by Rigorously
  Understanding Intrinsic DRAM Operation


Detect doublets in single-cell RNA-seq data

Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis

Targeted pharmacological therapy restores β-cell function for diabetes remission

Capillarized Liver Sinusoidal Endothelial Cells Undergo Partial Endothelial-Mesenchymal Transition to Actively Deposit Sinusoidal ECM in Liver Fibrosis

Frontiers in cell and developmental biology

A transcriptional cross species map of pancreatic islet cells

Protocol for Single-Nucleus Transcriptomics of Diploid and Tetraploid Cardiomyocytes in Murine Hearts

Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data


A series of BERT and Albert model checkpoints trained to reduce gendered correlations in pre-training

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

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

Benchmarking Intersectional Biases in NLP

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

Co^2PT: Mitigating Bias in Pre-trained Language Models through
  Counterfactual Contrastive Prompt Tuning


Submanifold sparse convolutional networks

Sparse 3D convolutional neural networks

Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image

Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals

Translational vision science & technology

Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography


Code for Environment Inference for Invariant Learning (ICML 2021 Paper)

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization

Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness


Map-Elites based on Evolution Strategies

Robots that can adapt like animals

Scaling MAP-Elites to Deep Neuroevolution

Genetic and Evolutionary Computation Conference

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

QDax: A Library for Quality-Diversity and Population-based Algorithms
  with Hardware Acceleration


深蓝课程

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

Visual-Inertial Mapping With Non-Linear Factor Recovery

International Conference on Robotics and Automation

The Double Sphere Camera Model


A library for easily merging multiple LLM experts, and efficiently train the merged LLM.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language
  Models

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for
  Multi-task Medical Applications

Learning to Route Among Specialized Experts for Zero-Shot Generalization


Cluttered MNIST Dataset

Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks

A Reinforcement Learning Approach for Sequential Spatial Transformer Networks

Spatial Transformer Networks for Curriculum Learning


Membership Leakage in Label-Only Exposures

RelaxLoss: Defending Membership Inference Attacks without Losing Utility


Explainable Security in SDN-Based IoT Networks

A Novel SDN Dataset for Intrusion Detection in IoT Networks

Conference on Network and Service Management

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning


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

Dueling Network Architectures for Deep Reinforcement Learning

Visualizing and Understanding Atari Agents

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL

ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents


Tools to download and process name data from various sources.

Quantitative evaluation of gender bias in astronomical publications from citation counts

Demographer: Extremely Simple Name Demographics

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

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

Dataset for studying gender disparity in English literary texts


A novel hybrid method for generating molecules with desired property scores.

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

Deep Graph Generators: A Survey

Reinforcement Learning on Graphs: A Survey


Checking that functions are constant time with Valgrind

Formal verification of a constant-time preserving C compiler

Proceedings of the ACM on programming languages

Iodine: Verifying Constant-Time Execution of Hardware

ct-fuzz: Fuzzing for Timing Leaks

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel
  Patching

Towards Automated Detection of Single-Trace Side-Channel Vulnerabilities in Constant-Time Cryptographic Code

Solver-Aided Constant-Time Circuit Verification

Testing side-channel security of cryptographic implementations against
  future microarchitectures


assemblies, annotations, further analysis on sequenced strains from the EHEC outbreak

Alignment-Free Design of Highly Discriminatory Diagnostic Primer Sets for Escherichia coli O104:H4 Outbreak Strains

Comparative Genomic Analysis of Two Novel Sporadic Shiga Toxin-Producing Escherichia coli O104:H4 Strains Isolated 2011 in Germany

Adaptive Mutations and Replacements of Virulence Traits in the Escherichia coli O104:H4 Outbreak Population


Translation of the MeCab documentation to English

Evaluating a Multi-sense Definition Generation Model for Multiple Languages

Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation

Pacific Asia Conference on Language, Information, and Computation

A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods


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

A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language


Evaluation benchmark for the task of Semantic Image Translation. Contains code to run FlexIT (CVPR 2022)

DiffEdit: Diffusion-based semantic image editing with mask guidance

Diffusion-based Image Translation using Disentangled Style and Content
  Representation

FlexIT: Towards Flexible Semantic Image Translation


This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024

Learning Transferable Visual Models From Natural Language Supervision

Sigmoid Loss for Language Image Pre-Training

Data Filtering Networks


COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

End-to-End Interpretation of the French Street Name Signs Dataset

Chinese Text in the Wild


TensorFlow Implementation of CDVAE-VC.

Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion

IEEE transactions on emerging topics in computational intelligence

Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion

Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion


Few-Shot Open-Set Recognition using Meta-Learning

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification

Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition


Source code for testing the Row Hammer error mechanism in DRAM devices. Described in the ISCA 2014 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/dram-row-hammer_isca14.pdf.

Processing Data Where It Makes Sense: Enabling In-Memory Computation

RowHammer: A Retrospective

The RowHammer Problem and Other Issues We May Face as Memory Becomes
  Denser

A Modern Primer on Processing in Memory

A Deeper Look into RowHammer’s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

SpyHammer: Using RowHammer to Remotely Spy on Temperature

RowHammer and Beyond

Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center


Actualmed COVID-19 Chest X-ray Dataset Initiative

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR

Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem

FLOP: Federated Learning on Medical Datasets using Partial Networks

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection

IEEE access : practical innovations, open solutions

Triage of Potential COVID-19 Patients from Chest X-ray Images using
  Hierarchical Convolutional Networks

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic

Visual computing for industry, biomedicine, and art

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images


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

A tale of two sites - II. Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers

Monthly Notices of the Royal Astronomical Society

The 21-cm signal from the cosmic dawn: metallicity dependence of high-mass X-ray binaries


Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".

One-Shot Visual Imitation Learning via Meta-Learning

Learning One-Shot Imitation from Humans without Humans

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives


[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

Generative Prompt Tuning for Relation Classification

Modeling Multi-Granularity Hierarchical Features for Relation Extraction

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study


Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet).

Classifying and Visualizing Motion Capture Sequences using Deep Neural Networks

Learnable Subspace Clustering

A Deep Bag-of-Features Model for Music Auto-Tagging


Gibbs sampler 4 the Hierarchical Dirichlet Process

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Meeting of the Association for Computational Linguistics

Nonparametric Forest-Structured Neural Topic Modeling

International Conference on Computational Linguistics


LAnguage Modelling Benchmarks

On the State of the Art of Evaluation in Neural Language Models

Mogrifier LSTM

Long Expressive Memory for Sequence Modeling

Pushing the bounds of dropout

iRNN: Integer-only Recurrent Neural Network


PyTorch Implementation of InfoGAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Unsupervised Few-Shot Feature Learning via Self-Supervised Training

Techniques for Symbol Grounding with SATNet

k-Sliced Mutual Information: A Quantitative Study of Scalability with
  Dimension

Max-Sliced Mutual Information


The NOX Controller

Programmable In-Network Security for Context-aware BYOD Policies

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

An SDN-Based Approach to Ward Off LAN Attacks

Journal of computer networks and communications

Q-learning based distributed denial of service detection

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


A prototype implementation of Bao for PostgreSQL

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

Maliva: Using Machine Learning to Rewrite Visualization Queries Under
  Time Constraints

COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations


A python app to predict Att&ck tactics and techniques from cyber threat reports

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Last Line of Defense: Reliability Through Inducing Cyber Threat Hunting With Deception in SCADA Networks

Towards Automated Classification of Attackers' TTPs by combining NLP
  with ML Techniques

Toward Effective Evaluation of Cyber Defense: Threat Based Adversary Emulation Approach

STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports


Python Matrix Factorization Module

UNKs Everywhere: Adapting Multilingual Language Models to New Scripts

Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery


Hyperbolic Graph Neural Networks

Hyperbolic Graph Neural Networks

Graceful Degradation and Related Fields


This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion
  Models


Scripts and tutorials on how to assemble individual microbial genomes from metagenomes

The reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

Metagenomic exploration of the marine sponge mycale hentscheli uncovers multiple polyketide-producing bacterial symbionts

Potential Mechanisms for Microbial Energy Acquisition in Oxic Deep-Sea Sediments

Metaviromics of Namib Desert Salt Pans: A Novel Lineage of Haloarchaeal Salterproviruses and a Rich Source of ssDNA Viruses

Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates

基因组蛋白质组与生物信息学报

Identification, Recovery, and Refinement of Hitherto Undescribed Population-Level Genomes from the Human Gastrointestinal Tract

In situ electrosynthetic bacterial growth using electricity generated by a deep-sea hydrothermal vent


This project aims to provide modular implementation and an easy pipeline of training and evaluation for SOTA semantic segmentation models.

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

Rethinking Atrous Convolution for Semantic Image Segmentation

Attention-guided Chained Context Aggregation for Semantic Segmentation


A library for evaluating representations.

Information-Theoretic Probing with Minimum Description Length

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

Evaluating representations by the complexity of learning low-loss predictors

Eliminating Domain Bias for Federated Learning in Representation Space


Natural Gradient, Variational Inference

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Noisy Natural Gradient as Variational Inference

Eigenvalue Corrected Noisy Natural Gradient

Predictive Uncertainty Quantification with Compound Density Networks

Walsh-Hadamard Variational Inference for Bayesian Deep Learning


Defeasible Natural Language Inference

A large annotated corpus for learning natural language inference

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Thinking Like a Skeptic: Defeasible Inference in Natural Language

Think about it! Improving defeasible reasoning by first modeling the question scenario

Could you give me a hint? Generating inference graphs for defeasible reasoning


Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems

Classification with Valid and Adaptive Coverage

Improving Conditional Coverage via Orthogonal Quantile Regression

Probabilistically robust conformal prediction


Likelihood-Free Frequentist Inference

Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging
  Prediction Algorithms and Posterior Estimators for Inverse Problems

Likelihood-Free Frequentist Inference: Bridging Classical Statistics and
  Machine Learning for Reliable Simulator-Based Inference


A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations

Using singular values to build a subgrid-scale model for large eddy simulations

Physical consistency of subgrid-scale models for large-eddy simulation of incompressible turbulent flows

Building proper invariants for eddy-viscosity subgrid-scale models

A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows


Online construction of run-length BWT (RLBWT) and r-index. Plus, online LZ77 parsing based on RLBWT.

Refining the r-index

A Faster Implementation of Online Run-Length Burrows-Wheeler Transform

Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing

An Optimal-Time RLBWT Construction in BWT-runs Bounded Space


Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)

Linear Transformers Are Secretly Fast Weight Programmers

Going Beyond Linear Transformers with Recurrent Fast Weight Programmers

A Modern Self-Referential Weight Matrix That Learns to Modify Itself


BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks


This is the development fork - Stable code has been moved to ==>

Lollipops in the Clinic: Information Dense Mutation Plots for Precision Medicine

Rapid emergence of HCMV drug resistance in immunocompromised paediatric patients detected using target enrichment and deep sequencing

Morphologic and molecular study of lung cancers associated with idiopathic pulmonary fibrosis and other pulmonary fibroses

γ2 GABAAR Trafficking and the Consequences of Human Genetic Variation

Development of a rapid functional assay that predicts GLUT1 disease severity

Human genetic variants disrupt RGS14 nuclear shuttling and regulation of LTP in hippocampal neurons

Profiling lung adenocarcinoma by liquid biopsy: can one size fit all?

Novel Missense CNTNAP2 Variant Identified in Two Consanguineous Pakistani Families With Developmental Delay, Epilepsy, Intellectual Disability, and Aggressive Behavior


scATAC-seq data analysis tools and papers

Comprehensive integration of single cell data

Fast, sensitive, and accurate integration of single cell data with Harmony

chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

Single-cell chromatin state analysis with Signac

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

Assessment of computational methods for the analysis of single-cell ATAC-seq data

A single-cell atlas of chromatin accessibility in the human genome

Integrative analyses of single-cell transcriptome and regulome using MAESTRO

scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles


Code for Heaton et al (in JABES, 2018)

Statistical Deep Learning for Spatial and Spatio-Temporal Data

Precision Aggregated Local Models

MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation

Fast Gaussian Process Posterior Mean Prediction via Local Cross
  Validation and Precomputation

Incorporating Subsampling into Bayesian Models for High-Dimensional
  Spatial Data


The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

RotoGrad: Gradient Homogenization in Multitask Learning

Learning Multiple Dense Prediction Tasks from Partially Annotated Data

Maximum Roaming Multi-Task Learning

AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task
  Learning


ToyADMOS2 dataset: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring Applying Domain
  Generalization Techniques

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection for Domain Generalization Task


Compositional data analysis in Python

Proportionality: A Valid Alternative to Correlation for Relative Data

Balance Trees Reveal Microbial Niche Differentiation

Understanding sequencing data as compositions: an outlook and review

A field guide for the compositional analysis of any-omics data

propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis

How should we measure proportionality on relative gene expression data?

Theory in biosciences = Theorie in den Biowissenschaften

Differential proportionality - a normalization-free approach to differential gene expression

Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children

Applications of weighted association networks applied to compositional data in biology


Source code and study data for the TOG 2021 paper: Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality.

BigDL: A Distributed Deep Learning Framework for Big Data

Generative Adversarial Networks for Face Generation: A Survey

Neural Face Models for Example-Based Visual Speech Synthesis

Explanation-Guided Fairness Testing through Genetic Algorithm

Proceedings of the 44th International Conference on Software Engineering

MiDaS: Representative Sampling from Real-world Hypergraphs

Proceedings of the ACM Web Conference 2022

The Impact of Dormant Defects on Defect Prediction: a Study of 19 ApacheProjects

Online Coordination: Methods and Comparative Case Studies of Coordinated Groups across Four Events in the United States

PROCEEDINGS OF THE 14TH ACM WEB SCIENCE CONFERENCE, WEBSCI 2022

Factors Affecting Project Selection in an Open Source Capstone

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1

SolType: refinement types for arithmetic overflow in solidity


A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

Pay Attention to MLPs

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

The GatedTabTransformer. An enhanced deep learning architecture for
  tabular modeling


This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shearlet-based Semantic Edge Detection, .

CASENet: Deep Category-Aware Semantic Edge Detection

Semantic Edge Detection with Diverse Deep Supervision

Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm

Proceedings. Mathematical, physical, and engineering sciences

Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks


UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Isprs Journal of Photogrammetry and Remote Sensing

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images

A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images


This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

Personalized automatic sleep staging with single-night data: a pilot study with Kullback–Leibler divergence regularization

Computation-Efficient Multi-Model Deep Neural Network for Sleep Stage Classification

Proceedings of the 2020 Asia Service Sciences and Software Engineering Conference

An Automatic Sleep Staging Method Using a Multi-head and Sequence Network

International Conferences on Biological Information and Biomedical Engineering


A fast sparse attack on deep neural networks.

DeepFool: a simple and accurate method to fool deep neural networks

SparseFool: a few pixels make a big difference

GreedyFool: Distortion-Aware Sparse Adversarial Attack

EdgeFool: An Adversarial Image Enhancement Filter


The Washington Post's analysis of NOAA climate change data for the contiguous United States


TLDR: Extreme Summarization of Scientific Documents

Domain Adaptation of Neural Machine Translation by Lexicon Induction

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Twist Decoding: Diverse Generators Guide Each Other


The code for ICCV 2023 paper, Adaptive Reordering Sampler with Neurally Guided MAGSAC

Progressive Correspondence Pruning by Consensus Learning

Generalized Differentiable RANSAC


SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) architectures. SparseP is developed to evaluate and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by C. Giannoula et al. [https://arxiv.org/abs/2201.05072]

A Modern Primer on Processing in Memory

Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures

Measurement and Modeling of Computer Systems

SparseP

Proceedings of the ACM on measurement and analysis of computing systems

Towards Efficient Sparse Matrix Vector Multiplication on Real
  Processing-In-Memory Systems

Accelerating irregular applications via efficient synchronization and data access techniques


ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy


1st Place Solution to iWildcam 2021: Count the number of animals of each species present in a sequence of images

Simple Online and Realtime Tracking with a Deep Association Metric

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Presence-Only Geographical Priors for Fine-Grained Image Classification


Harassment Lexicon and Corpus

A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research

Analyzing and learning the language for different types of harassment

Towards multidomain and multilingual abusive language detection: a survey

Hate Speech Detection via Dual Contrastive Learning


Deep Learning for Text Style Transfer: A Survey

Evaluating prose style transfer with the Bible

An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation

International Conference on Computational Linguistics

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


The associated repo for paper "Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification"

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

Planning with State Abstractions for Non-Markovian Task Specifications


A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

AnomalyDAE: Dual autoencoder for anomaly detection on attributed
  networks

Outlier Aware Network Embedding for Attributed Networks

One-class graph neural networks for anomaly detection in attributed networks


COMM 4940: Governing Human-Algorithm Behavior

A Contextual-Bandit Approach to Personalized News Article Recommendation

Exposure to ideologically diverse news and opinion on Facebook

A Theory of Racialized Organizations

#Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures

Thinking critically about and researching algorithms

Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions

Annual review of statistics and its application

#thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities

Conference on Computer Supported Cooperative Work

The Sisyphean Cycle of Technology Panics

Perspectives on psychological science : a journal of the Association for Psychological Science

How social learning amplifies moral outrage expression in online social networks

Algorithmic precarity in cultural work


Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization

Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization

Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA


MISTTBORN exoplanet fitting code, and various associated codes

TESS Hunt for Young and Maturing Exoplanets (THYME): A Planet in the 45 Myr Tucana-Horologium Association

TESS Hunt for Young and Maturing Exoplanets (THYME). III. A Two-planet System in the 400 Myr Ursa Major Group

TESS Hunt for Young and Maturing Exoplanets (THYME). II. A 17 Myr Old Transiting Hot Jupiter in the Sco-Cen Association

TESS Hunt for Young and Maturing Exoplanets (THYME). VI. An 11 Myr Giant Planet Transiting a Very-low-mass Star in Lower Centaurus Crux

TOI-503: The First Known Brown-dwarf Am-star Binary from the TESS Mission

Zodiacal exoplanets in time – X. The orbit and atmosphere of the young ‘neptune desert’-dwelling planet K2-100b

Monthly notices of the Royal Astronomical Society

H-alpha and Ca ii Infrared Triplet Variations During a Transit of the 23 Myr Planet V1298 Tau c

Zodiacal Exoplanets in Time (ZEIT). IX. A Flat Transmission Spectrum and a Highly Eccentric Orbit for the Young Neptune K2-25b as Revealed by Spitzer

An Aligned Orbit for the Young Planet V1298 Tau b

Transit Hunt for Young and Maturing Exoplanets (THYME). VIII. A Pleiades-age Association Harboring Two Transiting Planetary Systems from Kepler


Optimization with JDTLoss and Evaluation with Fine-grained mIoUs for Semantic Segmentation

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization
  and Evaluation of Fine-grained Intersection over Union


Derivative-Free Global Optimization Method (C++, Python binding)

DAHash: Distribution Aware Tuning of Password Hashing Costs

Password Strength Signaling: A Counter-Intuitive Defense Against Password Cracking

Cost-Asymmetric Memory Hard Password Hashing


EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Deep Retinex Decomposition for Low-Light Enhancement

Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset


Verilog implementation of the symmetric block cipher AES (Advanced Encryption Standard) as specified in NIST FIPS 197. This implementation supports 128 and 256 bit keys.

An Experimental Study of Building Blocks of Lattice-Based NIST Post-Quantum Cryptographic Algorithms

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated
  Circuit Synthesis

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


Fast Laplacian estimation

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

On minimal variations for unsupervised representation learning

Kernelized Diffusion maps


RNA-seq workflow for Snakemake based on STAR and featureCounts.

Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer

Epithelial-to-Mesenchymal Transition Drives Invasiveness of Breast Cancer Brain Metastases

A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression


Neural Entity Linking: A Survey of Models Based on Deep Learning

Joint Multilingual Supervision for Cross-lingual Entity Linking

Design Challenges in Low-resource Cross-lingual Entity Linking


Reinforcement Learning based 'Learning' of Dynamic Sepsis Treatment Strategies

Off-Policy Deep Reinforcement Learning without Exploration

Benchmarking Batch Deep Reinforcement Learning Algorithms

Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment


RADEX+emcee, LVG modeling with an MCMC approach, used in arXiv: 1709.04740

Molecular gas in the Herschel-selected strongly lensed submillimeter galaxies at z~2-4 as probed by multi-J CO lines

Planck's Dusty GEMS VII. Atomic carbon and molecular gas in dusty starburst galaxies at z=2 to 4


Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

Benchmarking in Optimization: Best Practice and Open Issues

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient

How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior?

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

On the performance of deep learning for numerical optimization: an application to protein structure prediction

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and
  Research Opportunities


Basic VAE flow using pytorch distributions

Auto-Encoding Variational Bayes

Categorical Reparameterization with Gumbel-Softmax

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

TensorFlow Distributions


NeuroSAT: Learning a SAT Solver from Single-Bit Supervision

Graph-based Semi-supervised Learning: A Comprehensive Review

Addressing Variable Dependency in GNN-based SAT Solving


Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Continuous Deep Q-Learning with Model-based Acceleration


This repository contains the initial implementation of pre-processing for the VITON dataset, which is the most commonly utilized dataset for virtual try-on tasks.

VITON: An Image-based Virtual Try-on Network

Learning to Assemble Geometric Shapes

CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On

Style-Based Global Appearance Flow for Virtual Try-On

C-VTON: Context-Driven Image-Based Virtual Try-On Network

IEEE Workshop/Winter Conference on Applications of Computer Vision

Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based
  Virtual Try-On


A tool for classifying prokaryote protein sequences into COG(Cluster of Orthologous Genes) functional category


List of software packages for multi-trait / multiple-trait / multivariate / high-dimensional GWAS

Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics

Polygenic Modeling with Bayesian Sparse Linear Mixed Models

MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS

A Unified Framework for Association Analysis with Multiple Related Phenotypes

A Multi-Trait, Meta-analysis for Detecting Pleiotropic Polymorphisms for Stature, Fatness and Reproduction in Beef Cattle

TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies

GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation

Novel Loci for Metabolic Networks and Multi-Tissue Expression Studies Reveal Genes for Atherosclerosis

A Comparison of Multivariate Genome-Wide Association Methods

Analyze multivariate phenotypes in genetic association studies by combining univariate association tests


Arioc:  GPU-accelerated DNA short-read alignment

Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space

Arioc: GPU-accelerated alignment of short bisulfite-treated reads

Arioc: High-concurrency short-read alignment on multiple GPUs


Compact Bilinear Pooling

Grounding of Textual Phrases in Images by Reconstruction

Learning Convolutional Text Representations for Visual Question Answering


Implementation of Gradient Origin Networks in PyTorch

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Modulated Periodic Activations for Generalizable Local Functional Representations

Gradient Origin Networks


Regression-based multi-period difference-in-differences with heterogenous treatment effects

Two-way fixed effects estimators with heterogeneous treatment effects

Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects

Difference-in-Differences with Multiple Time Periods


Session-based Recommendations with Recurrent Neural Networks

Graph Convolutional Matrix Completion

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation


Early access articles, Journals, and Conferences

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

IEEE transactions on industrial electronics

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions

IEEE transactions on instrumentation and measurement

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

IEEE transactions on industrial informatics

Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks

Fault diagnosis of power transformers using graph convolutional network

CSEE电力与能源系统学报

A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis Based on Bearing Vibration Signal

Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing

Rolling Bearing Fault Diagnosis Based on Horizontal Visibility Graph and Graph Neural Networks

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis


Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning

Interpolative Metric Learning for Few-Shot Specific Emitter Identification

IEEE transactions on vehicular technology

Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning


Implementation for NATv2.

DARTS: Differentiable Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

Towards Accurate and Compact Architectures via Neural Architecture Transformer


Implementation for mSAC methods in PyTorch

Counterfactual Multi-Agent Policy Gradients

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

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent
  Reinforcement Learning


Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

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

Graph Fairness Learning under Distribution Shifts


[IJCAI2022] Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Embedding Logical Queries on Knowledge Graphs

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


implicit or explicit water model based docking with Autodock vina engine. supporting pharmacophore /position constrained docking

Isolation, Purification, and Characterization of a Laccase-Degrading Aflatoxin B1 from Bacillus amyloliquefaciens B10

Inhibitory activities of alginate phosphate and sulfate derivatives against SARS-CoV-2 in vitro

International journal of biological macromolecules

Virtual screening and activity evaluation of human uric acid transporter 1 (hURAT1) inhibitors


This repository contains scripts, data and jupyter notebooks used to produce the evaluation results in the BioPhi 2021 publication

Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires

The journal of immunology/The Journal of immunology

Thera-SAbDab: the Therapeutic Structural Antibody Database

BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning

Humanization of antibodies using a machine learning approach on large-scale repertoire data

Humanization of Antibodies using a Statistical Inference Approach


atyimo: probabilistic record linkage for massive administrative datasets

On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort

IEEE journal of biomedical and health informatics

A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage

Probabilistic Integration of Large Brazilian Socioeconomic and Clinical Databases


Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Leveraging Labeling Representations in Uncertainty-based Semi-supervised
  Segmentation


Concatenates FASTA formatted files to one "phyml" (PHYLIP) formatted file

The Lingula genome provides insights into brachiopod evolution and the origin of phosphate biomineralization

The tuatara genome reveals ancient features of amniote evolution

Comparative genomics of ten new Caenorhabditis species

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

Whole-genome microsynteny-based phylogeny of angiosperms

Continental-Scale Gene Flow Prevents Allopatric Divergence of Pelagic Freshwater Bacteria

Ultraconserved elements (UCEs) illuminate the population genomics of a recent, high-latitude avian speciation event

Landscape of mobile genetic elements and their antibiotic resistance cargo in prokaryotic genomes

Complex subsurface hydrothermal fluid mixing at a submarine arc volcano supports distinct and highly diverse microbial communities

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

The Genome of Caenorhabditis bovis


Brain-related -omics data

An anatomically comprehensive atlas of the adult human brain transcriptome

Analysis of shared heritability in common disorders of the brain

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases

An Atlas of Gene Regulatory Elements in Adult Mouse Cerebrum

Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development

Brain metastasis DNA methylomes, a novel resource for the identification of biological and clinical features

Widespread methylation quantitative trait loci and their role in schizophrenia risk


Matlab scripts that extract single subject grey matter networks from grey matter segmented T1 weighted images

Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

Brain Structural Network Compensation Is Associated With Cognitive Impairment and Alzheimer’s Disease Pathology

Age and Sex-Related Effects on Single-Subject Gray Matter Networks in Healthy Participants

Gray matter structural networks related to 18F-THK5351 retention in cognitively normal older adults and Alzheimer's disease patients


Collection of diverse recommendation papers

Graph Meta Network for Multi-Behavior Recommendation

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

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks

Fairness among New Items in Cold Start Recommender Systems

Shifting Consumption towards Diverse Content on Music Streaming Platforms

Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs

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

Modeling Intent Graph for Search Result Diversification

Recommending Accurate and Diverse Items Using Bilateral Branch Network

Diverse User Preference Elicitation with Multi-Armed Bandits

Dynamic Graph Construction for Improving Diversity of Recommendation

I Want to Break Free! Recommending Friends from Outside the Echo Chamber


Source code for training Gated Multimodal Units on MM-IMDb dataset

Gated Multimodal Units for Information Fusion

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

MultiViz: Towards Visualizing and Understanding Multimodal Models

Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos


Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

REALM: Retrieval-Augmented Language Model Pre-Training

Pre-training via Paraphrasing


This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications

Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling.

Configuring an Intelligent Reflecting Surface for Wireless Communications


轻量化的实例分割模型

FCOS: Fully Convolutional One-Stage Object Detection

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation


EuroSAT: Land Use and Land Cover Classification with Sentinel-2

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images

Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing

IEEE geoscience and remote sensing letters

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

Land Use and Land Cover Classification Using CNN, SVM, and Channel Squeeze & Spatial Excitation Block

IOP conference series. Earth and environmental science

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE geoscience and remote sensing magazine

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

Model Spider: Learning to Rank Pre-Trained Models Efficiently

Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images

Streaming Networks: Enable A Robust Classification of Noise-Corrupted Images


Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

Revisiting Pre-Trained Models for Chinese Natural Language Processing

PERT: Pre-training BERT with Permuted Language Model

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination

FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction

Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context

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

CAT-LLM: Prompting Large Language Models with Text Style Definition for
  Chinese Article-style Transfer


A continually expanding collection of microbiome analysis tools

DADA2: High-resolution sample inference from Illumina amplicon data

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

q2-longitudinal: a QIIME 2 plugin for longitudinal and paired-sample analyses of microbiome data

A communal catalogue reveals Earth’s multiscale microbial diversity

Zenodo (CERN European Organization for Nuclear Research)

Kraken: ultrafast metagenomic sequence classification using exact alignments

ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Differential abundance analysis for microbial marker-gene surveys

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data


Word Translation Without Parallel Data

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

Meeting of the Association for Computational Linguistics

Improving Bilingual Lexicon Induction for Low Frequency Words

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


WildFish: A Large Benchmark for Fish Recognition in the Wild

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Wildfish++: A Comprehensive Fish Benchmark for Multimedia Research

Applications of deep learning in fish habitat monitoring: A tutorial and survey


A curated contents of things related to Spotify.

Music Personalization at Spotify

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces

User Modeling, Adaptation, and Personalization

#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations


Code for the paper "Estimating Transfer Entropy via Copula Entropy"

Evaluating Independence and Conditional Independence Measures

copent: Estimating Copula Entropy and Transfer Entropy in R


Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.

Diagnosing Bottlenecks in Deep Q-learning Algorithms

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Offline RL With Realistic Datasets: Heteroskedasticity and Support
  Constraints


BLEU might be Guilty but References are not Innocent

Human-Paraphrased References Improve Neural Machine Translation

On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation


Unofficail pytorch implementation of BigBiGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Revisiting Self-Supervised Visual Representation Learning

Large Scale Adversarial Representation Learning


Label-Imbalanced and Group-Sensitive Classification under Overparameterization

Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization

Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data


Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019)

BigBIO: A Framework for Data-Centric Biomedical Natural Language
  Processing

DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering

DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering


The code and data for the GPT-4 based benchmark in the vicuna blog post

DoLa: Decoding by Contrasting Layers Improves Factuality in Large
  Language Models

SELF: Self-Evolution with Language Feedback

Datasets for Large Language Models: A Comprehensive Survey


Investigation of End-To-End Speaker-Attributed ASR for Continuous
  Multi-Talker Recordings

Streaming end-to-end multi-talker speech recognition

Streaming Multi-talker Speech Recognition with Joint Speaker Identification

Endpoint Detection for Streaming End-to-End Multi-talker ASR

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR


Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)

Personalized On-Device E-health Analytics with Decentralized Block
  Coordinate Descent

Learning DNN networks using un-rectifying ReLU with compressed sensing
  application


Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic

The Convolutional Tsetlin Machine

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

On the Convergence of Tsetlin Machines for the XOR Operator

A relational tsetlin machine with applications to natural language understanding

Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment

A Tsetlin Machine with Multigranular Clauses

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation


Experimental implementation of k-CFA and Pushdown k-CFA with optional Abstract Garbage Collection for LambdaJS and a subset of Scheme programming language

Introspective Pushdown Analysis of Higher-Order Programs

Pushdown flow analysis with abstract garbage collection

Staged abstract interpreters: fast and modular whole-program analysis via meta-programming

Proceedings of the ACM on programming languages


Code for "Exploring Dynamic Selection of Branch Expansion Orders for Code Generation" (ACL 2021)

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


Packet simulator for data center network topologies, routing, and congestion control

Distributed deep learning training using silicon photonic switched architectures

COUDER: Robust Topology Engineering for Optical Circuit Switched Data Center Networks.

METTEOR: Robust Multi-Traffic Topology Engineering for Commercial Data Center Networks.


MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

Attention Is All You Need

Language Models are Unsupervised Multitask Learners

Improving Language Understanding by Generative Pre-Training


Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Sem-GAN: Semantically-Consistent Image-to-Image Translation

Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization


This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

Node Attribute Generation on Graphs


Sampling Matters in Deep Embedding Learning

Multimodal Metric Learning for Tag-based Music Retrieval

Supervised and Unsupervised Learning of Audio Representations for Music Understanding


Notes on determinants and other concrete algebra (PRIMES 2015 reading project: problems and solutions)

Integrality of matrices, finiteness of matrix semigroups, and dynamics of linear cellular automata

Integrality over ideal semifiltrations

From Chio Pivotal Condensation to the Matrix-Tree theorem

A double Sylvester determinant


Imitation Learning via Off-Policy Distribution Matching

Off-Policy Imitation Learning from Observations

A Coupled Flow Approach to Imitation Learning


Scalable GP Adapter for Time Series Classification

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification

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


A Survey of Machine Learning for Big Code and Naturalness

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

When Deep Learning Met Code Search

Aroma: code recommendation via structural code search

Mapping API Elements for Code Migration with Vector Representations


[ACL 2022] LinkBERT: A Knowledgeable Language Model  Pretrained with Document Links

LinkBERT: Pretraining Language Models with Document Links

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


A collection of codes with OpenFWI project

Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization

OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic
  Full Waveform Inversion

Does Full Waveform Inversion Benefit from Big Data?


A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

Making AI Forget You: Data Deletion in Machine Learning

Heterogeneity for the Win: One-Shot Federated Clustering

Machine Unlearning of Federated Clusters


Pytorch implementation of VAEs for heterogeneous likelihoods.

Auto-Encoding Variational Bayes

Importance Weighted Autoencoders

Handling Incomplete Heterogeneous Data using VAEs

Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives


Filteraugment: An Acoustic Environmental Data Augmentation Method

Heavily Augmented Sound Event Detection utilizing Weak Predictions


This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

Prioritized Level Replay

Rethinking Value Function Learning for Generalization in Reinforcement
  Learning


Graph Neural Networks with Heterophily

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

Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation


Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.


ADC Performance Survey 1997-2023 (ISSCC & VLSI Circuit Symposium)

Parallel in-memory wireless computing

Continuous-Variable Quantum Key Distribution at 10 GBaud using an
  Integrated Photonic-Electronic Receiver

X-Former: In-Memory Acceleration of Transformers

Improved Likelihood Probability in MIMO Systems Using One-Bit ADCs

Waveforms for sub-THz 6G: Design Guidelines


Dataset for the politeness transfer task

Deep Learning for Text Style Transfer: A Survey

A Review of Text Style Transfer using Deep Learning

IEEE transactions on artificial intelligence

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 ECG based biometric model for specialised authentication systems

End-to-End Incremental Learning

ECG arrhythmia classification using a 2-D convolutional neural network

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification.


Multi-fidelity Gaussian Process Bandit Optimisation

Multi-Fidelity Bayesian Optimization via Deep Neural Networks

A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems

Structural and multidisciplinary optimization


Framework for writing bots that play Hanabi.

The Hanabi Challenge: A New Frontier for AI Research

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Improving Policies via Search in Cooperative Partially Observable Games

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners

Theory of Mind for Deep Reinforcement Learning in Hanabi

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement
  Learning for Hanabi


Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies


MATLAB Code for Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images

Unsupervised Image Regression for Heterogeneous Change Detection

IEEE transactions on geoscience and remote sensing

Structure Consistency-Based Graph for Unsupervised Change Detection With Homogeneous and Heterogeneous Remote Sensing Images

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

A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection

Exploiting variational inequalities for generalized change detection on graphs


My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

AutoRec: Autoencoders Meet Collaborative Filtering

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

International Conference on Information and Knowledge Management

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Sequence-based context-aware music recommendation

Feature-combination hybrid recommender systems for automated music playlist continuation

User modeling and user-adapted interaction

Carousel Personalization in Music Streaming Apps with Contextual Bandits

A Context-Aware Click Model for Web Search


An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Bayesian Spillover Graphs for Dynamic Networks


Content-aware Neural Hashing for Cold-start Recommendation

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

Language Models as Knowledge Embeddings

Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering


Creative Commons Attribution 4.0 International

Data and analysis of unequal representation and gender stereotypes in image search results for occupations

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

International Conference on Human Factors in Computing Systems

Implicit Diversity in Image Summarization

Mitigating Test-Time Bias for Fair Image Retrieval


Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

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

Deep Learning on Graphs: A Survey

Physically-interpretable classification of biological network dynamics for complex collective motions

Resting-state based prediction of task-related activation in patients with disorders of consciousness


Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Simple Black-box Adversarial Attacks

Gradient Aligned Attacks via a Few Queries


This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Activision titles on social media data. In this project, we aim to predict sentiment on Reddit data.

Attention Is All You Need

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

Semi-supervised Sequence Learning


An Empirical Framework for Domain Generalization In Clinical Settings

An Empirical Framework for Domain Generalization in Clinical Settings

When More is Less: Incorporating Additional Datasets Can Hurt
  Performance By Introducing Spurious Correlations


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

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven
  Exploration


Python package for the computation of the Bipartite Configuration Model.

Exact maximum-likelihood method to detect patterns in real networks

Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections

The different structure of economic ecosystems at the scales of companies and countries


Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)

Snapshot Compressive Imaging: Theory, Algorithms, and Applications

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging


[CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

FAC: 3D Representation Learning via Foreground Aware Feature Contrast


PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].

Wasserstein GAN

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

On Convergence and Stability of GANs

Geometric GAN


Dataset and Code for MIPI2022 Challenge

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report


Kilonova models associated to papers using POSSIS

Optical follow-up of the neutron star–black hole mergers S200105ae and S200115j

Detectability of kilonovae in optical surveys: post-mortem examination of the LVC O3 run follow-up

Monthly Notices of the Royal Astronomical Society

The critical role of nuclear heating rates, thermalization efficiencies, and opacities for kilonova modelling and parameter inference

Polarized kilonovae from black hole–neutron star mergers

Monthly notices of the Royal Astronomical Society

Predicting electromagnetic counterparts using low-latency gravitational-wave data products

A search for the afterglows, kilonovae, and host galaxies of two short GRBs: GRB 211106A and GRB 211227A

Impact of jets on kilonova photometric and polarimetric emission from binary neutron star mergers

Predictions for Electromagnetic Counterparts to Neutron Star Mergers
  Discovered during LIGO-Virgo-KAGRA Observing Runs 4 and 5


code associated with WANLI dataset in Liu et al., 2022

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Goal Driven Discovery of Distributional Differences via Language
  Descriptions

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training


Hindi stopwords collection

Complex Network based Supervised Keyword Extractor

Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List

MUM at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using Supervised Learning Approaches


Offline Dictionary-based Compression (Re-Pair, Recursive Pairing)

A Grammar Compression Algorithm based on Induced Suffix Sorting

MR-RePair: Grammar Compression based on Maximal Repeats

Grammar Compression by Induced Suffix Sorting

Practical Grammar Compression Based on Maximal Repeats


Systematic generalization test for CLEVR

CLOSURE: Assessing Systematic Generalization of CLEVR Models

Transformer Module Networks for Systematic Generalization in Visual
  Question Answering


VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)

Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research

A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation

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

Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach


[WACV2023] Interacting Hand-Object Pose Estimation via Dense Mutual Attention

HOnnotate: A method for 3D Annotation of Hand and Object Poses

DexYCB: A Benchmark for Capturing Hand Grasping of Objects


Debye's scattering equation & other analysis of atomistic models.

Protein-Assisted Assembly of Modular 3D Plasmonic Raspberry-like Core/Satellite Nanoclusters: Correlation of Structure and Optical Properties

Recrystallization and size distribution of dislocated segments in cellulose microfibrils—a molecular dynamics perspective

Structural Aspects of the Superionic Transition in AX2 Compounds With the Fluorite Structure

Structure of the amorphous titania precursor phase of N-doped photocatalysts

Size dependencies on melting of Gold nanoparticle: A Molecular Dynamics study


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

Decoupled Weight Decay Regularization

mixup: Beyond Empirical Risk Minimization

Big Transfer (BiT): General Visual Representation Learning

Knowledge distillation: A good teacher is patient and consistent


Classifier based mutual information, conditional mutual information estimation; conditional independence testing

CCMI : Classifier based Conditional Mutual Information Estimation

Inferring functional connectivity through graphical directed information


Implementation for our paper "Conditional Image-Text Embedding Networks"

Learning Two-Branch Neural Networks for Image-Text Matching Tasks

Language Features Matter: Effective Language Representations for Vision-Language Tasks

Open-vocabulary Phrase Detection


Deep Compression on AlexNet

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Learning both Weights and Connections for Efficient Neural Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Compact and Computationally Efficient Representation of Deep Neural Networks

Dynamic Runtime Feature Map Pruning

Power Law in Sparsified Deep Neural Networks


Explaining NLP Models via Minimal Contrastive Editing (MiCE)

Let the CAT out of the bag: Contrastive Attributed explanations for Text

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors


Code to reproduce NeuralMind's submissions to COLIEE 2021 and COLIEE 2022

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Document Ranking with a Pretrained Sequence-to-Sequence Model

Yes, BM25 is a Strong Baseline for Legal Case Retrieval

To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment

International Conference on Artificial Intelligence and Law

Billions of Parameters Are Worth More Than In-domain Training Data: A
  case study in the Legal Case Entailment Task

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


Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"

Model-agnostic out-of-distribution detection using combined statistical tests

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator


Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Direction-Aggregated Attack for Transferable Adversarial Examples

Learning to Learn Transferable Attack

Training Meta-Surrogate Model for Transferable Adversarial Attack

Adversarial Purification through Representation Disentanglement


datasets from the paper "Towards Understanding Sycophancy in Language Models"

System 2 Attention (is something you might need too)


U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Deep Bayesian Active Learning with Image Data

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation


implementations sde-net

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Neural Ordinary Differential Equations

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates


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

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

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

Optimization tools for distance-preserving flag fault-tolerant error
  correction


Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Adversarial Attack and Defense on Graph Data: A Survey

(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs,
  Point Clouds, Molecules, and More


Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification

On the Effect of Data-Augmentation on Local Embedding Properties in the
  Contrastive Learning of Music Audio Representations

Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for
  Tempo Prediction and Search


To overcome the limitation and obtain more appropriate control filters, a generative fixed-filter active noise control (GFANC) approach is proposed in this paper. Specifically, various control filters can be generated by using different hard weights to combine pre-trained sub control filters. The hard weights are automatically obtained via a one-dimensional convolutional neural network given the incoming noise.

A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning

Deep Generative Fixed-filter Active Noise Control

Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks


This is a lidar segmentation method based on range image.

Fast segmentation of 3D point clouds: A paradigm on LiDAR data for autonomous vehicle applications

International Conference on Robotics and Automation

Body motion cues drive first impressions : consensus, truth and the origins of personality trait judgements based on targets' whole-body motion

Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance

Fast Multi-Pass 3D Point Segmentation Based on a Structured Mesh Graph for Ground Vehicles


MANNER: Multi-view Attention Network for Noise ERasure (Speech enhancement in time-domain)

MANNER: Multi-view Attention Network for Noise Erasure

Disentanglement in a GAN for Unconditional Speech Synthesis

NAaLOSS: Rethinking the Objective of Speech Enhancement


MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

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

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Graph Learning based Recommender Systems: A Review

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Multiplex Heterogeneous Graph Convolutional Network

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

Characterizing and Understanding HGNNs on GPUs

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks


IJCAI-Personalized Federated Learning with Graph

Personalized Federated Learning With Graph

Spatial-temporal Prompt Learning for Federated Weather Forecasting

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment


A rewrite of hanabi-bot in Scala

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Instructive artificial intelligence (AI) for human training, assistance, and explainability

Reinforcement Learning on Human Decision Models for Uniquely
  Collaborative AI Teammates


NetVLAD: CNN architecture for weakly supervised place recognition

Robust Image Retrieval-based Visual Localization using Kapture

Benchmarking Image Retrieval for Visual Localization

Hyperdimensional computing as a framework for systematic aggregation of image descriptors

Investigating the Role of Image Retrieval for Visual Localization

International journal of computer vision

Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition

Fast and Efficient Scene Categorization for Autonomous Driving using VAEs

24th Irish Machine Vision and Image Processing Conference


AMASS: Archive of Motion Capture as Surface Shapes

Learning Fashion Compatibility with Bidirectional LSTMs

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

Imbalanced Deep Learning by Minority Class Incremental Rectification

Deep Human Parsing with Active Template Regression

IEEE transactions on pattern analysis and machine intelligence

Image Aesthetic Assessment: An Experimental Survey

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

Fashion Landmark Detection in the Wild

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

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

Fashion-Gen: The Generative Fashion Dataset and Challenge


A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Co-regularized Alignment for Unsupervised Domain Adaptation

Virtual Mixup Training for Unsupervised Domain Adaptation


Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)

Generative Image Inpainting with Contextual Attention

Evaluating Weakly Supervised Object Localization Methods Right

Deep Fusion Network for Image Completion

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound


The official implementation of  'Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation' (CVPR 2022)

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization

Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization

Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA


Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]

Multi-Scale Context Aggregation by Dilated Convolutions

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

IEEE geoscience and remote sensing letters


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

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

On The Adversarial Robustness of 3D Point Cloud Classification

Predicting Choice with Set-Dependent Aggregation

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


An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Shift Aggregate Extract Networks

State of the Art and Potentialities of Graph-level Learning


Hierarchy-based Image Embeddings for Semantic Image Retrieval

Deep Learning on Small Datasets without Pre-Training using Cosine Loss

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

Workshop on Applications of Computer Vision


A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Playing Atari with Deep Reinforcement Learning

Rainbow: Combining Improvements in Deep Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Safe and Efficient Off-Policy Reinforcement Learning

Agent57: Outperforming the Atari Human Benchmark

Recurrent Experience Replay in Distributed Reinforcement Learning

International Conference on Learning Representations

Never Give Up: Learning Directed Exploration Strategies

An Empirical Comparison of Off-policy Prediction Learning Algorithms on
  the Collision Task


Discovering directional relations via minimum predictive information regularization

Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

Discovering Nonlinear Relations with Minimum Predictive Information Regularization

Learning interaction rules from multi-animal trajectories via augmented behavioral models

Intelligence, physics and information - the tradeoff between accuracy and simplicity in machine learning.


Knowledge-based Identification of Pathway Enzymes (KIPEs) performs an automatic annotation of the flavonoid biosynthesis steps in a new transcriptome of genome sequence assembly.

Automatic Identification of Players in the Flavonoid Biosynthesis with Application on the Biomedicinal Plant Croton tiglium

Metabolite Profiling and Transcriptome Analysis Provide Insight into Seed Coat Color in Brassica juncea

International journal of molecular sciences

Transcriptome Sequence Reveals Candidate Genes Involving in the Post-Harvest Hardening of Trifoliate Yam Dioscorea dumetorum

KIPEs3: Automatic annotation of biosynthesis pathways

Integrative Analysis of Metabolome and Transcriptome Identifies Potential Genes Involved in the Flavonoid Biosynthesis in Entada phaseoloides Stem


[CVPR 2023] CMT: Contrastive Mean Teacher for Domain Adaptive Object Detectors

Cross-Domain Adaptive Teacher for Object Detection

Learning Domain Adaptive Object Detection with Probabilistic Teacher


How Powerful are Graph Neural Networks?

Graph Contrastive Learning with Augmentations

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Imbalanced Graph Classification via Graph-of-Graph Neural Networks


xtractomactic using rerddap

Identifying Important Juvenile Dusky Shark Habitat in the Northwest Atlantic Ocean Using Acoustic Telemetry and Spatial Modeling

Seasonal Movements and Habitat Use of Juvenile Smooth Hammerhead Sharks in the Western North Atlantic Ocean and Significance for Management

Body Composition of Common Bottlenose Dolphins in Sarasota Bay, Florida

Sharks associated with a large sand shoal complex: Community insights from longline and acoustic telemetry surveys


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

A Bi-directional Transformer for Musical Chord Recognition

Improved Chord Recognition by Combining Duration and Harmonic Language Models

Personalized Popular Music Generation Using Imitation and Structure

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

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


Implementation of various state of the art architectures used in computer vision.

Attention Is All You Need

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

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

MLP-Mixer: An all-MLP Architecture for Vision

Single Image Super-Resolution via a Holistic Attention Network

Fastformer: Additive Attention Can Be All You Need


Official implementation of "Graph Unlearning" (ACM CCS 2022)

Graph Unlearning

Inductive Graph Unlearning

Efficiently Forgetting What You Have Learned in Graph Representation
  Learning via Projection


Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Neural Combinatorial Optimization with Reinforcement Learning

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

REVISED NOTE ON LEARNING QUADRATIC ASSIGNMENT WITH GRAPH NEURAL NETWORKS

Neural combinatorial optimization beyond the TSP: Existing architectures
  under-represent graph structure


a tool for identifying circular RNAs using RNA-Seq data

Biogenesis, identification, and function of exonic circular RNAs

Silencing of circRACGAP1 sensitizes gastric cancer cells to apatinib via modulating autophagy by targeting miR-3657 and ATG7

Circular RNAs in the cardiovascular system

Expression profile of circular RNAs in infantile hemangioma detected by RNA-Seq

Circular RNA circGlis3 protects against islet β-cell dysfunction and apoptosis in obesity


ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Repo. explores how we can use these artifacts to develop stronger backdoor defenses and attacks.

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?


The carbon footprint models used by carbonfact.co


Online Continual Learning through Mutual Information Maximization

International Conference on Machine Learning

Online Prototype Learning for Online Continual Learning


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

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


Mining Discourse Markers for Unsupervised Sentence Representation Learning

DisSent: Learning Sentence Representations from Explicit Discourse Relations


Official implementation of "Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery", ICRA 2023.

End-to-End Object Detection with Transformers

VisualBERT: A Simple and Performant Baseline for Vision and Language

Surgical-VQA: Visual Question Answering in Surgical Scenes using
  Transformer


Code for the emrQA question answering dataset

GatorTron: A Large Clinical Language Model to Unlock Patient Information
  from Unstructured Electronic Health Records

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

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Entity-Enriched Neural Models for Clinical Question Answering

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Proceedings of the 5th Clinical Natural Language Processing Workshop


Colabs for Neural Image Enhancement.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

High-Resolution Image Synthesis with Latent Diffusion Models

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Towards Flexible Blind JPEG Artifacts Removal


data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20

Fairness in Recommendation: Foundations, Methods, and Applications

Learning Robust Recommenders through Cross-Model Agreement

Label Denoising through Cross-Model Agreement


ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.

Social Bias Probing: Fairness Benchmarking for Language Models

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies


NIPS 2017 - Adversarial Learning

Improving Transferability of Adversarial Examples with Input Diversity

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Admix: Enhancing the Transferability of Adversarial Attacks

Learning Transferable Adversarial Examples via Ghost Networks

On the Effectiveness of Low Frequency Perturbations

Improving Adversarial Transferability via Neuron Attribution-based Attacks

Frequency Domain Model Augmentation for Adversarial Attack

Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting


Naver sentiment movie corpus

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems

Findings of the Association for Computational Linguistics: EMNLP 2021

Zero-shot cross-lingual transfer language selection using linguistic similarity

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Evaluating morphological typology in zero-shot cross-lingual transfer

Meeting of the Association for Computational Linguistics

KOBEST: Korean Balanced Evaluation of Significant Tasks

Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization

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


Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents


Deep Reinforcement Learning for Robotic Grasping from Octrees

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

Addressing Function Approximation Error in Actor-Critic Methods

Mastering Atari with Discrete World Models

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

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


Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

Learning Transferable Visual Models From Natural Language Supervision

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Poisoning and Backdooring Contrastive Learning


Extracts contigs harbouring a target gene / sequence from assemblies and aligns the contigs around the target sequence

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Rapid Emergence and Evolution of Staphylococcus aureus Clones Harboring fusC-Containing Staphylococcal Cassette Chromosome Elements

Genomic Epidemiology and Global Population Structure of Exfoliative Toxin A-Producing Staphylococcus aureus Strains Associated With Staphylococcal Scalded Skin Syndrome


Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.

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

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Entailment as Few-Shot Learner

NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction


MATLAB codes for matrix exponential times a vector.

Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators

Designing quantum experiments with a genetic algorithm

Gene-Specific Linear Trends Constrain Transcriptional Variability of the Toll-like Receptor Signaling

Limited-memory polynomial methods for large-scale matrix functions

Integral representations for higher-order Fréchet derivatives of
  matrix functions: Quadrature algorithms and new results on the level-2
  condition number

A New Algorithm for Computing the Actions of Trigonometricand Hyperbolic Matrix Functions

Krylov subspace restarting for matrix Laplace transforms