Faraday Rotation Measure Synthesis in Python

Polarization leakage in epoch of reionization windows – II. Primary beam model and direction-dependent calibration

Monthly Notices of the Royal Astronomical Society

Early Science from POSSUM: Shocks, turbulence, and a massive new reservoir of ionised gas in the Fornax cluster

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

The remnant radio galaxy associated with NGC 1534

Multi-tracer analysis of straight depolarisation canals in the surroundings of the 3C 196 field

The Spiderweb Protocluster is Being Magnetized by Its Central Radio Jet

Faraday tomography of LoTSS-DR2 data

First look at the multiphase interstellar medium using synthetic observations from low-frequency Faraday tomography

A depolarizing H I tidal tail in the western lobe of Fornax A


Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Self-supervised Graph Neural Networks without explicit negative sampling

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Data Augmentation on Graphs: A Technical Survey


3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

Spatial-Spectral Transformer for Hyperspectral Image Denoising

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising


使用预训练语言模型BERT做中文NER

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PERT: Pre-training BERT with Permuted Language Model

LERT: A Linguistically-motivated Pre-trained Language Model


Supervised Contrastive Learning

Combination of Multiple Global Descriptors for Image Retrieval

Dog nose print matching with dual global descriptor based on Contrastive
  Learning


code to show F-Principle in the DNN training

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Training behavior of deep neural network in frequency domain

Theory of the Frequency Principle for General Deep Neural Networks

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks.


[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

The use of deep learning in interventional radiotherapy (brachytherapy):
  a review with a focus on open source and open data


NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

NRTSI: Non-Recurrent Time Series Imputation

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation


Weakly Supervised Deep Detection Networks (CVPR 2016)

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Exploiting Web Images for Weakly Supervised Object Detection


Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Data Consistency for Weakly Supervised Learning


Dataset2Vec: Learning Dataset Meta-Features

Hyperparameter Optimization with Differentiable Metafeatures

Distribution-Based Invariant Deep Networks for Learning Meta-Features


Implicit Graph Neural Networks

Implicit Graph Neural Networks

On Training Implicit Models

EIGNN: Efficient Infinite-Depth Graph Neural Networks

MGNNI: Multiscale Graph Neural Networks with Implicit Layers


A toolkit for working with ATAC-seq data.

CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis

Analysis of Differentiation Protocols Defines a Common Pancreatic Progenitor Molecular Signature and Guides Refinement of Endocrine Differentiation

Chromatin information content landscapes inform transcription factor and DNA interactions

A genetic disorder reveals a hematopoietic stem cell regulatory network co-opted in leukemia

Электронный научно-образовательный вестник «Здоровье и образование в XXI веке»


Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

Supervised Learning with Tensor Networks

Supervised Learning with Quantum-Inspired Tensor Networks

Exponential Machines


Software for processing and analyzing STARmap experiments.

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Three-dimensional intact-tissue sequencing of single-cell transcriptional states

SpaGE: Spatial Gene Enhancement using scRNA-seq

Accurate inference of genome-wide spatial expression with iSpatial

SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models


GLSL surface rendering source code. Compiled versions available from NITRC. Loads 3DS, CTM, DXF, FreeSurfer, GII (GIfTI), GTS, LWO2, MS3D, MZ3, NV (BrainNetViewer), OBJ, OFF, PLY, STL, VTK. Tractography formats include BFloat, PDB, TCK, TRK, and VTK. Also NIfTI format voxelwise images.

Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study

Cortical and white matter correlates of language‐learning aptitudes

Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits

Betting on Non-Invasive Brain Stimulation to Treat Gambling Disorder: A Systematic Review and Meta-Analysis

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving


[ECCV 2020] Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning


(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

Suppress and Balance: A Simple Gated Network for Salient Object Detection

M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical
  Image Segmentation


Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial Examples Detection with Bayesian Neural Network

Detecting Adversarial Data by Probing Multiple Perturbations Using
  Expected Perturbation Score


Bridging Anaphora Resolution as Question Answering

Fine-grained Information Status Classification Using Discourse Context-Aware BERT

End-to-end Neural Information Status Classification


An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection

A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for
  Sound Event Localization and Detection

Event-Independent Network for Polyphonic Sound Event Localization and Detection.


High Performance Computing Conjugate Gradients:  The original Mantevo miniapp

Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

International Conference on High Performance Computing

QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing.

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs


the official TangXu's group released codes about the Remote Sensing images classificaiton

Attention Consistent Network for Remote Sensing Scene Classification

IEEE journal of selected topics in applied earth observations and remote sensing

Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels

IEEE transactions on geoscience and remote sensing

Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification


Pytorch implementation of LOST unsupervised object discovery method

Emerging Properties in Self-Supervised Vision Transformers

Localizing Objects with Self-Supervised Transformers and no Labels

Self-Guided Diffusion Models


[ICCV2023] DETR Doesn’t Need Multi-Scale or Locality Design

Swin Transformer V2: Scaling Up Capacity and Resolution

SimMIM: A Simple Framework for Masked Image Modeling

DETR Doesn't Need Multi-Scale or Locality Design


Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Few-Shot Bayesian Optimization with Deep Kernel Surrogates

Pre-trained Gaussian processes for Bayesian optimization

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.


Any Way to Show  Multi genomic Synteny

NGenomeSyn: an easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes

Genomic analyses of rice bean landraces reveal adaptation and yield related loci to accelerate breeding

Differences in pseudogene evolution contributed to the contrasting flavors of turnip and Chiifu, two Brassica rapa subspecies

Complete Mitogenome and Phylogenetic Analysis of the Carthamus tinctorius L.

Integrated analyses reveal evolutionarily conserved and specific injury response genes in dorsal root ganglion


a Pytorch library for multi-view 3D understanding and generation

MVTN: Multi-View Transformation Network for 3D Shape Recognition

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

MVTN: Learning Multi-View Transformations for 3D Understanding


This repository includes the constructed US-4 dataset and the code for USCL (PyTorch version).

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video
  Contrastive Representation Learning


processing 10x genomics reads

Haplotype-resolved genome assembly provides insights into evolutionary history of the tea plant Camellia sinensis

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Rapid genotype imputation from sequence with reference panels

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

A chromosome-level genome assembly of the woolly apple aphid, Eriosoma lanigerum (Hausmann) (Hemiptera: Aphididae)

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

Three new genome assemblies of blue mussel lineages: North and South European Mytilus edulis and Mediterranean Mytilus galloprovincialis

A chromosome-level reference genome and pangenome for barn swallow population genomics

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

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


Paddle Implementation of DOLG (ICCV 2021)

DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features

Boosting vision transformers for image retrieval


A fast and great parser

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation

International Conference on Information and Knowledge Management

Shift-Reduce Constituent Parsing with Neural Lookahead Features

Head-Lexicalized Bidirectional Tree LSTMs

Transactions of the Association for Computational Linguistics

Bidirectional Tree-Structured LSTM with Head Lexicalization

Two Local Models for Neural Constituent Parsing


Supporting documentation and software for the MPPT Solar Charger


Repository of the ICML 2020 paper "Set Functions for Time Series"

Set Functions for Time Series

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values.


A collection of R code for dealing with SNP data and analyses

Using high-throughput sequencing to investigate the factors structuring genomic variation of a Mediterranean grasshopper of great conservation concern

Evidence for Glacial Refugia of the Forest Understorey Species Helleborus niger (Ranunculaceae) in the Southern as Well as in the Northern Limestone Alps

Genomic evidence of speciation by fusion in a recent radiation of grasshoppers

Evolution; international journal of organic evolution


LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation

Skillnet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach


Learning from Noisy Labels with Deep Neural Networks: A Survey

Error-Bounded Correction of Noisy Labels

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


Millefy: Genome browser-like visualization of single-cell RNA-seq dataset

Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data

A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data


Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Image Classification at Supercomputer Scale

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Communication optimization strategies for distributed deep neural network training: A survey

Journal of parallel and distributed computing

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition

Privacy Preserving QoE Modeling using Collaborative Learning

Training Multilingual Pre-trained Language Model with Byte-level
  Subwords


A webpage for the scattering transform. To calculate, you just need the folder called "scattering".

Weak lensing scattering transform: dark energy and neutrino mass sensitivity

How to quantify fields or textures? A guide to the scattering transform

Can diffusion model conditionally generate astrophysical images?

Monthly notices of the Royal Astronomical Society

Scattering Spectra Models for Physics


Final Project for AI Wireless

Over-the-Air Deep Learning Based Radio Signal Classification

IEEE journal of selected topics in signal processing

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

Automatic Modulation Classification Using Compressive Convolutional Neural Network

High-Performance Deep Learning Classification for Radio Signals

CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS


C API drivers for PYNQ FPGA board

A Configurable RO-PUF for Securing Embedded Systems Implemented on Programmable Devices

Multi-Unit Serial Polynomial Multiplier to Accelerate NTRU-Based Cryptographic Schemes in IoT Embedded Systems

Task‐based preemptive scheduling on FPGAs leveraging partial reconfiguration

On-Line Evaluation and Monitoring of Security Features of an RO-Based PUF/TRNG for IoT Devices


Permutation Tests for Linear Models

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

BCR-associated factors driving chronic lymphocytic leukemia cells proliferation ex vivo

Are publications on zoological taxonomy under attack?

Establishing a mental lexicon with cochlear implants: an ERP study with young children

Effects of Chemical and Mechanical Lysis on Microbial DNA Yield, Integrity, and Downstream Amplicon Sequencing of Rumen Bacteria and Protozoa

Microbiota associated with Mollitrichosiphum aphids (Hemiptera: Aphididae: Greenideinae): diversity, host species specificity and phylosymbiosis

Mitochondrial genome copy number measured by DNA sequencing in human blood is strongly associated with metabolic traits via cell-type composition differences

Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions

Genes Involved in Drosophila melanogaster Ovarian Function Are Highly Conserved Throughout Evolution

Thermal independence of energy management in a tailed amphibian


Subgraph Based Learning of Contextual Embedding

Graph Self-Supervised Learning: A Survey

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

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

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction


Sample code for Constrained Graph Variational Autoencoders

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

A Model to Search for Synthesizable Molecules

Barking up the right tree: an approach to search over molecule synthesis DAGs

Conditional Constrained Graph Variational Autoencoders for Molecule Design


PyTorch implementation of SAC-Discrete.

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Soft Actor-Critic for Discrete Action Settings

Addressing Action Oscillations through Learning Policy Inertia


Submission for MAVEN: Multi-Agent Variational Exploration

Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization

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

Ensemble Value Functions for Efficient Exploration in Multi-Agent
  Reinforcement Learning


DeepXplore code release

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

Guiding Deep Learning System Testing using Surprise Adequacy

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Towards Improved Testing For Deep Learning

Taking Care of the Discretization Problem: A Comprehensive Study of the Discretization Problem and a Black-Box Adversarial Attack in Discrete Integer Domain

Provably Valid and Diverse Mutations of Real-World Media Data for DNN
  Testing

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


JAVELIN is now working under Python 3!

Accretion disc sizes from continuum reverberation mapping of AGN selected from the ZTF survey

Broad-line region in NGC 4151 monitored by two decades of reverberation
  mapping campaigns. I. Evolution of structure and kinematics

Multiwavelength Variation Phenomena of PKS 0735+178 on Diverse Timescales

A Negative Long Lag from the Optical to the UV Continuum in Fairall 9

Spectroscopic reverberation mapping of Quasar PKS 0736+017: Broad-Line Region and Black-hole Mass

Negative Lags on the Viscous Timescale in Quasar Photometry and Prospects for Detecting More with LSST

How Can the Optical Variation Properties of Active Galactic Nuclei Be Unbiasedly Measured?

On the nature of the continuum reverberation of X-ray/UV and optical
  emission of IRAS 09149-6206


Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Graph Neural Network for Traffic Forecasting: A Survey

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE transactions on intelligent transportation systems

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

IEEE transactions on pattern analysis and machine intelligence

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Transportation research. Part C, Emerging technologies

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

Inductive Graph Neural Networks for Spatiotemporal Kriging

A Comprehensive Survey on Traffic Prediction.

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities


Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Rational neural networks


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

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

A Survey of Large Language Models for Healthcare: from Data, Technology,
  and Applications to Accountability and Ethics


Baseline method for sound event localization task of DCASE 2022 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

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

Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays


DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

Zenodo (CERN European Organization for Nuclear Research)

Imputation Methods for scRNA Sequencing Data

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation


Raspberry Pi open source iris recognition project with CC-Net-based segmentation and human-driven BSIF coding

Iris Presentation Attack Detection Based on Photometric Stereo Features

Open Source Presentation Attack Detection Baseline for Iris Recognition

Open Source Iris Recognition Hardware and Software with Presentation Attack Detection


【Code of CVPR2021 paper】Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021)

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration

IEEE transactions on visualization and computer graphics

Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization


Personalized Fashion Recommendation and Generation

On the Effectiveness of Least Squares Generative Adversarial Networks

Category-Specific CNN for Visual-aware CTR Prediction at JD.com

End-to-End Image-Based Fashion Recommendation


Efficient Algorithms for L0 Regularized Learning

Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

Fast Sparse Classification for Generalized Linear and Additive Models

L0Learn: A Scalable Package for Sparse Learning using L0 Regularization

Safe Peeling for L0-Regularized Least-Squares with supplementary
  material


More efficient exploration for reinforcement learning in two-player, zero-sum game

Proximal Policy Optimization Algorithms

Curiosity-driven Exploration by Self-supervised Prediction

Exploration by Random Network Distillation

Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning


Gated Graph Sequence Neural Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Gated Graph Sequence Neural Networks

Deep Learning on Graphs: A Survey

Graph-based Semi-supervised Learning: A Comprehensive Review


SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization

Keyphrase Cloud Generation of Broadcast News

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding.

Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

International journal of advanced computer science and applications/International journal of advanced computer science & applications

Compositional Generalization for Natural Language Interfaces to Web APIs

Improving Performance of Automatic Keyword Extraction (AKE) Methods
  Using PoS-Tagging and Enhanced Semantic-Awareness

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles


This program is designed for annotation of antimicrobal resistance(AMR), transposon(Tn) and integron(In) in bacteria.

BacAnt: A Combination Annotation Server for Bacterial DNA Sequences to Identify Antibiotic Resistance Genes, Integrons, and Transposable Elements

Mobilome-driven partitions of the resistome in Salmonella


[TGRS 2019] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

IEEE transactions on geoscience and remote sensing

Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange


Lagrangian Neural Networks

Neural Ordinary Differential Equations

Hamiltonian Neural Networks

Lagrangian Neural Networks

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning


Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Graph Learning based Recommender Systems: A Review

Relational Message Passing for Knowledge Graph Completion

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)


Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer

Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features

Block shuffling learning for Deepfake Detection

Numerical Analysis and Optimization Application Trend of Deepfake Video Inspection Technology

Multisemantic Path Neural Network for Deepfake Detection

Deepfake: Definitions, Performance Metrics and Standards, Datasets and
  Benchmarks, and a Meta-Review


A Python package for barycentric rational and polynomial interpolation and approximation.

The AAA algorithm for rational approximation

An algorithm for best rational approximation based on barycentric rational interpolation

A unified rational Krylov method for elliptic and parabolic fractional diffusion problems

On Rational Krylov and Reduced Basis Methods for Fractional Diffusion


Structural variant merging tool

Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa

Population Structure, Stratification, and Introgression of Human Structural Variation

Copy Number Variation Identification on 3,800 Alzheimer’s Disease Whole Genome Sequencing Data from the Alzheimer’s Disease Sequencing Project

Genome and haplotype provide insights into the population differentiation and breeding improvement of Gossypium barbadense


A dataset of millions of news articles scraped from a curated list of data sources.

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Capturing the Style of Fake News

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

Content-based features predict social media influence operations

Wet, wild and convivial : past, present and future contributions of Australia’s ocean pools to surf, beach, pool and body cultures and recreational coasts

A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017

Tanbih: Get To Know What You Are Reading

Dataset of Fake News Detection and Fact Verification: A Survey

No Calm in The Storm: Investigating QAnon Website Relationships

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

Humanities and Social Sciences Communications

Hoax analyzer for Indonesian news using RNNs with fasttext and glove embeddings

Bulletin of Electrical Engineering and Informatics


CMUdict maintenance, and tools

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

Challenging the Boundaries of Speech Recognition: The MALACH Corpus

Towards multilingual end‐to‐end speech recognition for air traffic control

When CTC Training Meets Acoustic Landmarks


TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.

Deep Residual Learning for Image Recognition

Feature Pyramid Networks for Object Detection

FOTS: Fast Oriented Text Spotting with a Unified Network


Bidirectional Attention Flow for Machine Comprehension

Latent Predictor Networks for Code Generation

Adversarial Domain Adaptation for Machine Reading Comprehension

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Neural Question Generation with Answer Pivot


Code for training PhysNet models

SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects

Choosing the right molecular machine learning potential

MLatom 2: An Integrative Platform for Atomistic Machine Learning

Machine Learning Models of Vibrating H2CO: Comparing Reproducing Kernels, FCHL, and PhysNet

The journal of physical chemistry. A/The journal of physical chemistry. A.

MP2 Is Not Good Enough: Transfer Learning ML Models for Accurate VPT2
  Frequencies

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Impact of the characteristics of quantum chemical databases on machine
  learning predictions of tautomerization energies

Thermal and Vibrationally Activated Decomposition of the syn-CH3CHOO Criegee Intermediate

Transfer-Learned Potential Energy Surfaces: Towards Microsecond-Scale
  Molecular Dynamics Simulations in the Gas Phase at CCSD(T) Quality


Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.

COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features

Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19

Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans


LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation

A Survey on Text Classification: From Shallow to Deep Learning

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media

A Survey on Extreme Multi-label Learning


MT Evaluation in Many Languages via Zero-Shot Paraphrasing

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

In-context Examples Selection for Machine Translation

Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

DEMETR: Diagnosing Evaluation Metrics for Translation

Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation

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

Dialect-robust Evaluation of Generated Text

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures

SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training

OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization


Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking

A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking


[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

Making Pre-trained Language Models Better Few-shot Learners

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

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt
  Learning

Towards Unified Prompt Tuning for Few-shot Text Classification

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Black-box Prompt Tuning with Subspace Learning


Baseline for the CNLI corpus

A Decomposable Attention Model for Natural Language Inference

Enhanced LSTM for Natural Language Inference

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Analogical Reasoning on Chinese Morphological and Semantic Relations

Soft Representation Learning for Sparse Transfer

Meeting of the Association for Computational Linguistics


An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

Matching Networks for One Shot Learning

Discriminative k-shot learning using probabilistic models

Learning from Few Samples: A Survey


PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22


Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"

An Underwater Image Enhancement Benchmark Dataset and Beyond

International Conference on Robotics and Automation

Deep Sea Robotic Imaging Simulator

Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network


An Implementation of Poptrie IP Routing Table Lookup Algorithm

Fast Longest Prefix Matching by Exploiting SIMD Instructions

Surgical DDoS Filtering With Fast LPM


A Re-implementation of Fixed-update Initialization

Deep Residual Learning for Image Recognition

mixup: Beyond Empirical Risk Minimization

Improving robustness against common corruptions by covariate shift adaptation

Fixup Initialization: Residual Learning Without Normalization

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

Fast Axiomatic Attribution for Neural Networks

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset

Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow
  Solutions in Scalar Networks and Beyond

AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN
  Layers Using Adjoint Operators


Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Attention-guided Network for Ghost-free High Dynamic Range Imaging

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging


Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL  2018)

Mask and Infill: Applying Masked Language Model for Sentiment Transfer

International Joint Conference on Artificial Intelligence

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer


PyTorch Code for "PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-sharpening". TGRS 2021

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

Deep learning in multimodal remote sensing data fusion: A comprehensive review


De novo VIral Genome Annotator

Phage Annotation Guide: Guidelines for Assembly and High-Quality Annotation

Isolation of a Novel Jumbo Bacteriophage Effective Against Klebsiella aerogenes

VIGA: a sensitive, precise and automatic de novo VIral Genome Annotator

Bacteriophages Roam the Wheat Phyllosphere


Tool for analysing viral diversity from High Throughput Sequencing

Intra-host analysis of hepaciviral glycoprotein evolution reveals signatures associated with viral persistence and clearance


Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"

Few-NERD: A Few-Shot Named Entity Recognition Dataset

Language Model Pre-Training with Sparse Latent Typing

Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition


Model extraction attacks on Machine-Learning-as-a-Service platforms.

Stealing Machine Learning Models via Prediction APIs

PRADA: Protecting against DNN Model Stealing Attacks

Stateful Detection of Model Extraction Attacks

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


The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023

Multi-Stage Progressive Image Restoration

MC-Blur: A Comprehensive Benchmark for Image Deblurring


Action-based galaxy modeling framework

AGAMA: action-based galaxy modelling architecture

Monthly notices of the Royal Astronomical Society

A New Fokker–Planck Approach for the Relaxation-driven Evolution of Galactic Nuclei

A discrete chemo-dynamical model of the dwarf spheroidal galaxy Sculptor: mass profile, velocity anisotropy and internal rotation

Monthly Notices of the Royal Astronomical Society

Diversity of Dark Matter Density Profiles in the Galactic Dwarf Spheroidal Satellites

Bending waves in the Milky Way’s disc from halo substructure

The Delay Time Distribution of Tidal Disruption Flares

Torus mapper: a code for dynamical models of galaxies

Cosmic phylogeny: reconstructing the chemical history of the solar neighbourhood with an evolutionary tree

Action-based dynamical models of dwarf spheroidal galaxies: application to Fornax

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo


TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)

High-Performance Large-Scale Image Recognition Without Normalization

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP


Coding-Non-Coding Index (CNCI)

Non-coding RNAs and Their Roles in Stress Response in Plants

基因组蛋白质组与生物信息学报

Identification and characterization of long intergenic noncoding RNAs in bovine mammary glands

Long Non-coding RNA ECRAR Triggers Post-natal Myocardial Regeneration by Activating ERK1/2 Signaling

Molecular therapy : the journal of the American Society of Gene Therapy

Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants

International journal of molecular sciences

A Review on Recent Computational Methods for Predicting Noncoding RNAs

De novo transcriptome assembly for the spiny mouse (Acomys cahirinus)

Prediction of Long Non-Coding RNAs Based on Deep Learning

Preliminary RNA-Seq Analysis of Long Non-Coding RNAs Expressed in Human Term Placenta

Transcriptome sequencing in a 6-hydroxydopamine rat model of Parkinson's disease.

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data


The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

On instabilities of deep learning in image reconstruction and the potential costs of AI

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

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI

Stabilizing Deep Tomographic Reconstruction

Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks

CS-GAN for High-Quality Diffusion Tensor Imaging


Auxiliary Classifier Generative Adversarial Networks in Keras

Conditional Image Synthesis With Auxiliary Classifier GANs

A Bayesian Data Augmentation Approach for Learning Deep Models

Fast-Converging Conditional Generative Adversarial Networks for Image Synthesis


NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Latent Intention Dialogue Models

A Unifying View On Task-oriented Dialogue Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


A collection of implementations of adversarial domain adaptation algorithms

Unsupervised Domain Adaptation by Backpropagation

Adversarial Discriminative Domain Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation


My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Improving neural networks by preventing co-adaptation of feature detectors

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection

Towards Dependable Deep Convolutional Neural Networks (CNNs) with
  Out-distribution Learning

Out-distribution training confers robustness to deep neural networks


Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation


Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Reliable Fidelity and Diversity Metrics for Generative Models

Pros and Cons of GAN Evaluation Measures: New Developments

The Spatially-Correlative Loss for Various Image Translation Tasks

Instance-Conditioned GAN

CG-NeRF: Conditional Generative Neural Radiance Fields

FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data

Heavy-tailed denoising score matching

Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback


COCACOLA: a general framework for binning contigs in metagenomic studies incorporating read COverage, CorrelAtion, sequence COmposition and paired-end read LinkAge

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

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

Computational and structural biotechnology journal

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


TOGA: A Neural Method for Test Oracle Generation

Proceedings of the 44th International Conference on Software Engineering

Towards More Realistic Evaluation for Neural Test Oracle Generation

Neural-Based Test Oracle Generation: A Large-Scale Evaluation and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation


[ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"

Diffusion Models Beat GANs on Image Synthesis

Elucidating the Exposure Bias in Diffusion Models


Semantic Scene Completion

MonoScene: Monocular 3D Semantic Scene Completion

Anisotropic Convolutional Networks for 3D Semantic Scene Completion

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient
  Exploration Mapping and Planning


[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Graph Self-Supervised Learning: A Survey

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

Augmentation-Free Self-Supervised Learning on Graphs

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Geometric Graph Representation Learning via Maximizing Rate Reduction

Uncovering the Structural Fairness in Graph Contrastive Learning

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


Material from the DARPA Transparent Computing Program

HOLMES: Real-time APT Detection through Correlation of Suspicious
  Information Flows

Poirot: A Web Inspector for Designers

THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning

GrAALF:Supporting Graphical Analysis of Audit Logs for Forensics

Xanthus: Push-button Orchestration of Host Provenance Data Collection

Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems

RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation

Recommender Systems in Cybersecurity

LogKernel: A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering

Kairos: Practical Intrusion Detection and Investigation using
  Whole-system Provenance

OSTINATO: Cross-host Attack Correlation Through Attack Activity
  Similarity Detection


A python package for inferring psychological embeddings.

Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings

Semantic Knowledge of Famous People and Places Is Represented in Hippocampus and Distinct Cortical Networks

The journal of neuroscience/The Journal of neuroscience

Obtaining psychological embeddings through joint kernel and metric learning


ECCV2020 paper: Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. Code and Data.

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

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

Convolutional Image Captioning

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates


An reimplement version of inpainting model in  Free-Form Image Inpainting with Gated Convolution

Generative Image Inpainting with Contextual Attention

A Benchmark for Inpainting of Clothing Images with Irregular Holes


Learning to Perform Local Rewriting for Combinatorial Optimization

Learning to Delegate for Large-scale Vehicle Routing


Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph
  Diffusion Infomax


MPNet: Masked and Permuted Pre-training for Language Understanding   https://arxiv.org/pdf/2004.09297.pdf

MASS: Masked Sequence to Sequence Pre-training for Language Generation

A Language Model-based Generative Classifier for Sentence-level Discourse Parsing

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


Learning Logic Rules for Document-Level Relation Extraction

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

Learning Logic Rules for Document-level Relation Extraction


IBRNet: Learning Multi-View Image-Based Rendering

FWD: Real-time Novel View Synthesis with Forward Warping and Depth


Genealogical Estimation of Variant Age (GEVA)

Dating genomic variants and shared ancestry in population-scale sequencing data


Toolkit to Hack Your Deep Learning Models

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time


Central Difference Convolutional Networks (CVPR'20)

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Dual-Cross Central Difference Network for Face Anti-Spoofing

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review

Review of Face Presentation Attack Detection Competitions

Automatic adaptive weighted fusion of features-based approach for plant disease identification


Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

Learning from Noisy Labels with Deep Neural Networks: A Survey

FINE Samples for Learning with Noisy Labels

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

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

Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach

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


We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art

Empirical Methods in Natural Language Processing

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

BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA

Workshop on Biomedical Natural Language Processing

BERN2: an advanced neural biomedical named entity recognition and normalization tool


Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

A Survey on Text Classification: From Shallow to Deep Learning

Refining Word Embeddings for Sentiment Analysis

Deep Learning with Dynamic Computation Graphs

SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity

North American Chapter of the Association for Computational Linguistics


【CVPR'2023 Highlight】Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

Zero-Shot Text-to-Image Generation

DALL-Eval: Probing the Reasoning Skills and Social Biases of
  Text-to-Image Generation Models

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

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

Draft-and-Revise: Effective Image Generation with Contextual
  RQ-Transformer


Lung and Colon Cancer Histopathological Image Dataset (LC25000)

A Hybrid Framework for Lung Cancer Classification

Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing

Computational Pathology: A Survey Review and The Way Forward


Combinatorial Bayesian Optimization using the Graph Cartesian Product

Mercer Features for Efficient Combinatorial Bayesian Optimization

Toward real-world automated antibody design with combinatorial Bayesian optimization

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems

Communications in computer and information science

SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature
  over Discrete and Mixed Spaces

A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning

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

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces


Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).

Supplementary for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging

Image data hiding with multi-scale autoencoder network

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding

SUDS: Sanitizing Universal and Dependent Steganography

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models

Image Data Hiding in Neural Compressed Latent Representations


A tool for Racon polishing of miniasm assemblies

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types

Prevalence and Molecular Characterization of Methicillin-Resistant Staphylococci (MRS) and Mammaliicocci (MRM) in Dromedary Camels from Algeria: First Detection of SCCmec-mecC Hybrid in Methicillin-Resistant Mammaliicoccus lentus

Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle


Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization

Antipodes of Label Differential Privacy: PATE and ALIBI

A Theory of Label Propagation for Subpopulation Shift

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes

BARACK: Partially Supervised Group Robustness With Guarantees

Sample Efficiency of Data Augmentation Consistency Regularization

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data


This is the official implementation of our proposed SwinMR

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

SwinIR: Image Restoration Using Swin Transformer

Swin Transformer for Fast MRI


source code for the paper Deep Knowledge Tracing

Deep Knowledge Tracing

A Self-Attentive model for Knowledge Tracing

EdNet: A Large-Scale Hierarchical Dataset in Education

Knowledge Tracing with Sequential Key-Value Memory Networks

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Knowledge Tracing: A Survey

Knowledge Query Network for Knowledge Tracing

Domain Adaption for Knowledge Tracing

DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing

Deep Knowledge Tracing with Learning Curves

UIILD: A Unified Interpretable Intelligent Learning Diagnosis Framework
  for Intelligent Tutoring Systems


predict stability change upon mutation

Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset

DDGun: an untrained predictor of protein stability changes upon amino acid variants

Correspondence between functional scores from deep mutational scans and predicted effects on protein stability

Systematically testing human HMBS missense variants to reveal mechanism and pathogenic variation

bioRxiv : the preprint server for biology


SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

A Dataset for Semantic Segmentation of Point Cloud Sequences

Point Cloud Processing via Recurrent Set Encoding

The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review


GUI-based software for training, evaluating and applying deep neural nets for image classification

Cyclical Learning Rates for Training Neural Networks

AIDeveloper: Deep Learning Image Classification in Life Science and Beyond

Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph)

Deep learning in forensic gunshot wound interpretation—a proof-of-concept study


A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis

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

Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis

Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?


Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

International Conference on Trust, Privacy and Security in Intelligent Systems and Applications

Understanding Object Detection Through An Adversarial Lens

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems


r/Fakeddit New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Fake news detection based on news content and social contexts: a transformer-based approach

International journal of data science and analytics

Hidden Biases in Unreliable News Detection Datasets

Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments

Multi-modal Misinformation Detection: Approaches, Challenges and
  Opportunities

Utilizing Ensemble Learning for Detecting Multi-Modal Fake News


NLR-Annotator upload

Multiple wheat genomes reveal global variation in modern breeding

BED-domain-containing immune receptors confer diverse resistance spectra to yellow rust

NRG1 functions downstream of EDS1 to regulate TIR-NLR-mediated plant immunity in Nicotiana benthamiana

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

The NLR-Annotator Tool Enables Annotation of the Intracellular Immune Receptor Repertoire(1)([OPEN])

Chromosome-scale comparative sequence analysis unravels molecular mechanisms of genome dynamics between two wheat cultivars

BED domain‐containing NLR from wild barley confers resistance to leaf rust

The telomere-to-telomere genome of Fragaria vesca reveals the genomic evolution of Fragaria and the origin of cultivated octoploid strawberry

Variation in plant Toll/Interleukin-1 receptor domain protein dependence on ENHANCED DISEASE SUSCEPTIBILITY 1

Integrated Molecular and Bioinformatics Approaches for Disease-Related Genes in Plants

Genome-Wide Identification, Characterization, and Comparative Analysis of NLR Resistance Genes in Coffea spp.


Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.

A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine

A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows

International journal of multiphase flow

A High Performance Computing Framework for Multiphase, Turbulent Flows on Structured Grids

Proceedings of the Platform for Advanced Scientific Computing Conference

Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

Computing foaming flows across scales: From breaking waves to microfluidics

Bubbles in turbulent flows: Data-driven, kinematic models with history terms

Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters

Breaking waves: To foam or not to foam?


Contrastive Multi-View Representation Learning on Graphs

Graph Self-Supervised Learning: A Survey

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

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Learning from Counterfactual Links for Link Prediction

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

SAIL: Self-Augmented Graph Contrastive Learning

Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification


CCTyper: Automatic detection and subtyping of CRISPR-Cas operons

Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants

RNA-guided DNA insertion with CRISPR-associated transposases

Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration

Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes

CRISPRCasTyper: Automated Identification, Annotation, and Classification of CRISPR-Cas Loci

Type IV CRISPR–Cas systems are highly diverse and involved in competition between plasmids

CRISPRCasTyper: An automated tool for the identification, annotation and classification of CRISPR-Cas loci

Comparative Genomics of Xylella fastidiosa Explores Candidate Host-Specificity Determinants and Expands the Known Repertoire of Mobile Genetic Elements and Immunity Systems

Novel Type V-A CRISPR Effectors Are Active Nucleases with Expanded Targeting Capabilities


Learning from Synthetic Animals

From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation


Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Are Noisy Sentences Useless for Distant Supervised Relation Extraction?

Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction


Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Offline Meta-Reinforcement Learning with Online Self-Supervision

Context Meta-Reinforcement Learning via Neuromodulation

Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

Meta-Model-Based Meta-Policy Optimization

Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning.

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

State Regularized Policy Optimization on Data with Dynamics Shift


a sklearn wrapper for Google's BERT model

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

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition

Living Machines: A study of atypical animacy

SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation.

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis


Neural architecture search(NAS)

DARTS: Differentiable Architecture Search

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

SNAS: Stochastic Neural Architecture Search


dN/dS methods to quantify selection in cancer and somatic evolution

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

Longitudinal molecular trajectories of diffuse glioma in adults

Multi-cancer analysis of clonality and the timing of systemic spread in paired primary tumors and metastases

Clonal dynamics of haematopoiesis across the human lifespan

The somatic mutation landscape of the human body

Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome

Cross-species oncogenic signatures of breast cancer in canine mammary tumors

Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival

Genomic evidence supports a clonal diaspora model for metastases of esophageal adenocarcinoma


Official implementation of the paper WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

Wav2CLIP: Learning Robust Audio Representations From CLIP

How to Listen? Rethinking Visual Sound Localization


Re-implementation the code used in Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks

Voice conversion from non-parallel corpora using variational auto-encoder

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks

CVC: Contrastive Learning for Non-parallel Voice Conversion

WaveNet 聲碼器及其於語音轉換之應用 (WaveNet Vocoder and its Applications in Voice Conversion) [In Chinese]


Codes for "TENER: Adapting Transformer Encoder for Named Entity Recognition"


The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

An attempt at beating the 3D U-Net

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings

Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

Journal of healthcare engineering (Print)

Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

Medical science monitor : international medical journal of experimental and clinical research

2.5D MFFAU-Net: a convolutional neural network for kidney segmentation

BMC medical informatics and decision making


Tensorflow-DenseNet with ImageNet Pretrained Models

Densely Connected Convolutional Networks

Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models

CrypTFlow: Secure TensorFlow Inference

CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation

Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM

Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images

Secure Medical Image Analysis with CrypTFlow


Include MuCAN, LAPAR, etc.

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond

Best-Buddy GANs for Highly Detailed Image Super-Resolution

A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU


https://arxiv.org/abs/2104.02246  One Thing One Click (CVPR 2021)        https://arxiv.org/abs/2303.14727   One Thing One Click++ (Arxiv)

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds

You Only Need One Thing One Click: Self-Training for Weakly Supervised
  3D Scene Understanding


An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Keep it Simple: Image Statistics Matching for Domain Adaptation

OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation

Rotation-Invariant and Relation-Aware Cross-Domain Adaptation Object Detection Network for Optical Remote Sensing Images


How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset

FlauBERT: Unsupervised Language Model Pre-training for French

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

Linear Transformations for Cross-lingual Sentiment Analysis


A Python package for hubness analysis and high-dimensional data mining

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces

Fast Approximate Hubness Reduction for Large High-Dimensional Data

International Conference on Big Knowledge

scikit-hubness: Hubness Reduction and Approximate Neighbor Search


The toolkit for scene graph generation

Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

Devil's on the Edges: Selective Quad Attention for Scene Graph Generation

Improving Scene Graph Generation with Superpixel-Based Interaction Learning


CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality


Auto-encoding & Generating 3D  Point-Clouds.

Learning Representations and Generative Models for 3D Point Clouds

LION: Latent Point Diffusion Models for 3D Shape Generation

Learning Gradient Fields for Shape Generation

Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

Deep Learning on Implicit Neural Representations of Shapes


Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Improved Techniques for Training Score-Based Generative Models

Fast Sampling of Diffusion Models with Exponential Integrator

Diffusion Models for Adversarial Purification

gDDIM: Generalized denoising diffusion implicit models

Controllable and Compositional Generation with Latent-Space Energy-Based Models

Accelerating Score-based Generative Models for High-Resolution Image
  Synthesis

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control


A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels

Training Data Protection with Compositional Diffusion Models


Few-shot Natural Language Generation for Task-Oriented Dialog

Template Guided Text Generation for Task-Oriented Dialogue

Conversational question answering: a survey

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Adaptive Natural Language Generation for Task-oriented Dialogue via
  Reinforcement Learning

Selective Token Generation for Few-shot Natural Language Generation


Create regional association plots from GWAS or meta-analysis

Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers

Genome-wide association study identifies risk loci for progressive chronic lymphocytic leukemia

Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis

Conditional Analysis Cakewalk

Gene signatures derived from transcriptomic-causal networks stratified colorectal cancer patients for effective targeted therapy.


Referring Expression Datasets API

Modeling Context in Referring Expressions

Unifying Vision-and-Language Tasks via Text Generation

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Towards Language-guided Visual Recognition via Dynamic Convolutions

Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation

Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics


Code for the paper Fine-Tuning Language Models from Human Preferences

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

AlpacaFarm: A Simulation Framework for Methods that Learn from Human
  Feedback

Aligning Large Multimodal Models with Factually Augmented RLHF

SALMON: Self-Alignment with Principle-Following Reward Models


Quantitative Structure Models of Single Trees from Laser Scanner Data

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR

Modelling and Comparing Shading Effects of 3D Tree Structures with Virtual Leaves

Laser scanning reveals potential underestimation of biomass carbon in temperate forest

4DRoot: Root phenotyping software for temporal 3D scans by X-ray computed tomography

A multilayered urban tree dataset of point clouds, quantitative structure and graph models


Sequence modeling benchmarks and temporal convolutional networks

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

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

TS2Vec: Towards Universal Representation of Time Series

Deep Reinforcement Learning

Stable Recurrent Models

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis

A Survey on Time-Series Pre-Trained Models

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport


Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter

Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter

International journal of environmental research and public health

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations

Early detection of internet trolls: Introducing an algorithm based on word pairs / single words multiple repetition ratio

Introductory data science across disciplines, using Python, case studies, and industry consulting projects

Russian trolls speaking Russian: Regional Twitter operations and MH17

Understanding Troll Writing as a Linguistic Phenomenon

Abusive Language Recognition in Russian

Workshop on Balto-Slavic Natural Language Processing


All Tokens Matter: Token Labeling for Training Better Vision Transformers

IoU-aware Single-stage Object Detector for Accurate Localization

ViDT: An Efficient and Effective Fully Transformer-based Object Detector

An Extendable, Efficient and Effective Transformer-based Object Detector


Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

URNet: A U-Shaped Residual Network for Lightweight Image Super-Resolution


Zero-Shot Text-to-Image Generation

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Improving Text-to-Image Synthesis Using Contrastive Learning

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional
  Vision-Language Generation

Text as Neural Operator:Image Manipulation by Text Instruction

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Controllable Image Generation via Collage Representations

Data Redaction from Conditional Generative Models

Factor Decomposed Generative Adversarial Networks for Text-to-Image
  Synthesis


Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Training Verifiers to Solve Math Word Problems

Holistic Evaluation of Language Models

Faithful Chain-of-Thought Reasoning

ToolQA: A Dataset for LLM Question Answering with External Tools

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

Automatic Generation of Socratic Subquestions for Teaching Math Word Problems

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning

xCoT: Cross-lingual Instruction Tuning for Cross-lingual
  Chain-of-Thought Reasoning

Mastering Symbolic Operations: Augmenting Language Models with Compiled
  Neural Networks


Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners

Domain Aligned CLIP for Few-shot Classification

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Convolutional Feature Masking for Joint Object and Stuff Segmentation

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks


Pre-trained word vectors of 30+ languages

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Predicting Distresses using Deep Learning of Text Segments in Annual Reports

A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking

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

Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task

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

Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

International journal of distributed sensor networks

Identify Abusive and Offensive Language in Indonesian Twitter using Deep Learning Approach

Word Similarity Datasets for Thai: Construction and Evaluation

Synchronization in Interpersonal Speech

Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models.

An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection


VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets

VoxCeleb2: Deep Speaker Recognition

Speaker Clustering Using Dominant Sets

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples


Factorization Machine models in PyTorch

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

AutoLoss: Automated Loss Function Search in Recommendations

AutoField: Automating Feature Selection in Deep Recommender Systems

User Response Prediction in Online Advertising

Memory-efficient Embedding for Recommendations

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

AutoDenoise: Automatic Data Instance Denoising for Recommendations

Optimizing Feature Set for Click-Through Rate Prediction

MvFS: Multi-view Feature Selection for Recommender System

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

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

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


POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

Fine-Grained Controllable Text Generation Using Non-Residual Prompting

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

InsNet: An Efficient, Flexible, and Performant Insertion-based Text
  Generation Model

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

System Description for the CommonGen task with the POINTER model


PyTorch bottom-up attention with Detectron2

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

Multimodal Learning for Hateful Memes Detection

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

Decoding the Underlying Meaning of Multimodal Hateful Memes

Object-Centric Representation Learning for Video Question Answering


Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor
  Detection from Brain MRI Images considering Data Imbalance


A Mashup Interface for Text Analysis Operations

A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield 1998 et al.'s case

A quantitative and qualitative open citation analysis of retracted articles in the humanities

A protocol to gather, characterize and analyze incoming citations of
  retracted articles

MITAO: A User Friendly and Modular Software for Topic Modelling

MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies


structural analysis of neonatal brain MRI scans

Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain

Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid

Functional connectome through the human life span

bioRxiv : the preprint server for biology

Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

Comprehensive volumetric phenotyping of the neonatal brain in Down syndrome

The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain

Surface Generative Modelling of Neurodevelopmental Trajectories


This project is a tool to build CheXNet-like models, written in Keras.

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

An Aggregate Method for Thorax Diseases Classification

Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs

Journal of medical imaging (Bellingham, Wash.)


Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

TS2Vec: Towards Universal Representation of Time Series

Do We Really Need Deep Learning Models for Time Series Forecasting?

Expressing Multivariate Time Series as Graphs with Time Series Attention
  Transformer

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


MAttNet: Modular Attention Network for Referring Expression Comprehension

Unifying Vision-and-Language Tasks via Text Generation

Real-Time Referring Expression Comprehension by Single-Stage Grounding
  Network

Who's Waldo? Linking People Across Text and Images


MOODS: Motif Occurrence Detection Suite

Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

Non-coding germline GATA3 variants alter chromatin topology and contribute to pathogenesis of acute lymphoblastic leukemia


ACL 2022: BRIO: Bringing Order to Abstractive Summarization

News Summarization and Evaluation in the Era of GPT-3

Joint Generator-Ranker Learning for Natural Language Generation

Calibrating Likelihoods towards Consistency in Summarization Models


Global soil respiration database

A restructured and updated global soil respiration database (SRDB-V5)

Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

Global variability of belowground autotrophic respiration in terrestrial ecosystems


Visualize Arctic and Antarctic sea ice


The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Digging into Uncertainty in Self-supervised Multi-view Stereo

Unsupervised Object Learning via Common Fate

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation


The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Deep Back-Projection Networks For Super-Resolution

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Deep Back-ProjectiNetworks for Single Image Super-Resolution

Kernelized Back-Projection Networks for Blind Super Resolution


Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Unsupervised Learning via Meta-Learning

Centroid-based deep metric learning for speaker recognition

Learning from Few Samples: A Survey

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction

Are Few-shot Learning Benchmarks Too Simple ?

Design of a graphical user interface for few-shot machine learning classification of electron microscopy data

Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance.


CLI tool to annotate genes with KOfam

Marine Microeukaryote Metatranscriptomics: Sample Processing and Bioinformatic Workflow Recommendations for Ecological Applications

Evidence for nontraditional mcr-containing archaea contributing to biological methanogenesis in geothermal springs

Bacterial Necromass Is Rapidly Metabolized by Heterotrophic Bacteria and Supports Multiple Trophic Levels of the Groundwater Microbiome


Design of experiments for Python

Mining gravitational-wave catalogs to understand binary stellar evolution: A new hierarchical Bayesian framework

Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

Soil hydraulic material properties and layered architecture from time-lapse GPR

Effect of unrepresented model errors on estimated soil hydraulic material properties

PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs

Material Parameter Identification of Elastoplastic Constitutive Models Using Machine Learning Approaches

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey


An unofficial implementation of  'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

Domain Generalisation for Object Detection


Easiest Fully Convolutional Networks

Fully Convolutional Networks for Semantic Segmentation

Learning cellular morphology with neural networks

Learning Topological Interactions for Multi-Class Medical Image Segmentation


SCDC

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Deconvolution of a Large Cohort of Placental Microarray Data Reveals Clinically Distinct Subtypes of Preeclampsia

Frontiers in bioengineering and biotechnology


Few-Shot Classification with Feature Map Reconstruction Networks

Subspace Regularizers for Few-Shot Class Incremental Learning

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients

Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias

The Role of Global Labels in Few-Shot Classification and How to Infer Them

Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization


Memory-Efficient Pipeline-Parallel DNN Training

A Linear Algebraic Approach to Model Parallelism in Deep Learning

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


MAIAN: automatic tool for finding trace vulnerabilities in Ethereum smart contracts

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

International Conference on Software Engineering

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A
  Survey

A Framework and DataSet for Bugs in Ethereum Smart Contracts

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning.

Smart Contract Vulnerability Detection Technique: A Survey

Multi-Class classification of vulnerabilities in Smart Contracts using
  AWD-LSTM, with pre-trained encoder inspired from natural language processing

A Survey of Security Vulnerabilities in Ethereum Smart Contracts.

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts

SMACS: Smart Contract Access Control Service


Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

International Conference on Robotics and Automation

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Autonomous Exploration Development Environment and the Planning Algorithms

Piecewise Linear De-skewing for LiDAR Inertial Odometry

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons.


DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution

Aware of the History: Trajectory Forecasting with the Local Behavior Data

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow
  Prediction

Enhancing Mapless Trajectory Prediction through Knowledge Distillation


Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

UPOCR: Towards Unified Pixel-Level OCR Interface

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task
  Image Manipulation Detection and Localization

Rethinking Image Forgery Detection via Contrastive Learning and
  Unsupervised Clustering


Non-local Neural Networks for Video Classification

Non-local Neural Networks

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Compact Generalized Non-local Network

A Multigrid Method for Efficiently Training Video Models

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints


Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Defending Against Neural Fake News

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Automatic Detection of Machine Generated Text: A Critical Survey

Authorship Attribution for Neural Text Generation

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

Fake news detection based on news content and social contexts: a transformer-based approach

International journal of data science and analytics

Counterfactual Memorization in Neural Language Models

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Pre-training Methods in Information Retrieval

Limitations of Autoregressive Models and Their Alternatives

Deepfake Text Detection: Limitations and Opportunities


Virus Identification By iteRative ANnoTation

Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics

Unveiling Ecological and Genetic Novelty within Lytic and Lysogenic Viral Communities of Hot Spring Phototrophic Microbial Mats

Implications of oral streptococcal bacteriophages in autism spectrum disorder

Current trends in RNA virus detection through metatranscriptome sequencing data


Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved Training of Wasserstein GANs

Spectral Normalization for Generative Adversarial Networks

Stabilizing Training of Generative Adversarial Networks through Regularization

How good is my GAN?

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Label-Consistent Backdoor Attacks

PassGAN: A Deep Learning Approach for Password Guessing

Identification of deep network generated images using disparities in color components

Geometry Score: A Method For Comparing Generative Adversarial Networks

How to Train Your DRAGAN


WaveGAN: Learn to synthesize raw audio with generative adversarial networks

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis

Adversarial Generation of Time-Frequency Features with application in audio synthesis

Latent Translation: Crossing Modalities by Bridging Generative Models

The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks

Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks

Neural Granular Sound Synthesis


Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

Interpreting and Boosting Dropout from a Game-Theoretic View

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation
  Approach

MCDAL: Maximum Classifier Discrepancy for Active Learning

Adaptive Gradient Communication via Critical Learning Regime Identification

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep
  Reinforcement Learning Approaches

Characterizing Datapoints via Second-Split Forgetting

AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly

Pruning-aware Sparse Regularization for Network Pruning


Drishti

An ancient dental gene set governs development and continuous regeneration of teeth in sharks

The Role of Local Instabilities in Fluid Invasion into Permeable Media

The Natural Historian's Guide to the CT Galaxy: Step-by-Step Instructions for Preparing and Analyzing Computed Tomographic (CT) Data Using Cross-Platform, Open Access Software

Integrative organismal biology (Oxford, England)

The appendicular morphology of Sinoburius lunaris and the evolution of the artiopodan clade Xandarellida (Euarthropoda, early Cambrian) from South China

Time-resolved synchrotron X-ray micro-tomography datasets of drainage and imbibition in carbonate rocks

Thermal Runaway of a Li-Ion Battery Studied by Combined ARC and Multi-Length Scale X-ray CT

Developing an ancient epithelial appendage: FGF signalling regulates early tail denticle formation in sharks

Development of the Synarcual in the Elephant Sharks (Holocephali; Chondrichthyes): Implications for Vertebral Formation and Fusion

Three-dimensional segmentation of computed tomography data using Drishti Paint: new tools and developments

A comprehensive and user‐friendly framework for 3D‐data visualisation in invertebrates and other organisms


SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation

Lite-FPN for Keypoint-based Monocular 3D Object Detection