Learning node representation using edge semantics

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods


Attention is not Explanation

Is Sparse Attention more Interpretable?

Attention Meets Perturbations: Robust and Interpretable Attention With Adversarial Training

A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing

Revisiting Attention Weights as Explanations from an Information Theoretic Perspective


Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

Explaining and Harnessing Adversarial Examples

Delving into Transferable Adversarial Examples and Black-box Attacks

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


Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

Sorting out Lipschitz function approximation

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Generalised Lipschitz Regularisation Equals Distributional Robustness


ROS-based software framework for the igus Humanoid Open Platform.

Child-sized 3D Printed igus Humanoid Open Platform

NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research

RoboCup 2016 Humanoid TeenSize Winner NimbRo: Robust Visual Perception and Soccer Behaviors

Grown-Up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions

The igus Humanoid Open Platform: A Child-sized 3D Printed Open-Source Robot for Research

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

Bipedal Walking with Corrective Actions in the Tilt Phase Space

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks


A corpus of Biomedical papers annotated with mentions of UMLS entities.

MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking

Knowledge-Rich Self-Supervision for Biomedical Entity Linking

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Recognizing UMLS Semantic Types with Deep Learning

A survey on recent advances in named entity recognition

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

BELB: a Biomedical Entity Linking Benchmark


Deep Learning on Graphs: A Survey

Few-Shot Learning with Graph Neural Networks

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Domain Agnostic Few-Shot Learning For Document Intelligence


[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Multimodal Fusion Interactions: A Study of Human and Automatic Quantification


A toolkit for analyzing and visualizing phylogenetic (placement) data

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

Scalable methods for analyzing and visualizing phylogenetic placement of metagenomic samples

Methods for automatic reference trees and multilevel phylogenetic placement

From microbial community structure to metabolic inference using paprica


Deeper, Broader and Artier Domain Generalization

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Domain Generalization for Object Recognition with Multi-task Autoencoders

Towards Principled Disentanglement for Domain Generalization


Lstm variational auto-encoder for time series anomaly detection and features extraction

Tutorial on Variational Autoencoders

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

Time-Series Anomaly Detection with Implicit Neural Representation

Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder

21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS ICDMW 2021

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services

Assessing Unsupervised Machine Learning solutions for Anomaly Detection in Cloud Gaming Sessions

Conference on Network and Service Management


1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

SOIL TEXTURE CLASSIFICATION WITH 1D CONVOLUTIONAL NEURAL NETWORKS BASED ON HYPERSPECTRAL DATA

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences


Unsorted scripts for bioinformatics

Sequencing abasic sites in DNA at single-nucleotide resolution

ATRX promotes heterochromatin formation to protect cells from G-quadruplex DNA-mediated stress

SOX2 regulates common and specific stem cell features in the CNS and endoderm derived organs

DNA sequence-dependent formation of heterochromatin nanodomains

Epigenetic and genetic differentiation betweenCoregonusspecies pairs


An Automated Fortran Code Refactoring Tool to Facilitate Acceleration of Numerical Simulations

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

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


Attention based model for learning to solve different routing problems

Attention, Learn to Solve Routing Problems!

Learning to Delegate for Large-scale Vehicle Routing

Learning Collaborative Policies to Solve NP-hard Routing Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

On Learning Paradigms for the Travelling Salesman Problem

Learning to Optimise General TSP Instances

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

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

Adaptive solution prediction for combinatorial optimization


Hierarchical Graph Representation Learning with Differentiable Pooling

Spectral Clustering with Graph Neural Networks for Graph Pooling

Rethinking pooling in graph neural networks

Memory-Based Graph Networks


Exploring Japanese SimCSE

A large annotated corpus for learning natural language inference

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference


GPT-3: Language Models are Few-Shot Learners

Language Models are Few-Shot Learners

Extracting Training Data from Large Language Models

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

Efficient Large Scale Language Modeling with Mixtures of Experts

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Automatic Detection of Machine Generated Text: A Critical Survey

MEGA: Multilingual Evaluation of Generative AI

Few-shot Learning with Multilingual Language Models

Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services


Phylogenetic analysis of multi-species genome sequence alignments to identify conserved protein-coding regions

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

Advances in long noncoding RNAs: identification, structure prediction and function annotation

Retraction Note to: Decreased expression of the long noncoding RNA LINC00261 indicate poor prognosis in gastric cancer and suppress gastric cancer metastasis by affecting the epithelial–mesenchymal transition

LncRNA ADAMTS9-AS2 inhibits cell proliferation and decreases chemoresistance in clear cell renal cell carcinoma via the miR-27a-3p/FOXO1 axis

Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci

Analysis of Soybean Long Non-Coding RNAs Reveals a Subset of Small Peptide-Coding Transcripts

A high-content RNAi screen reveals multiple roles for long noncoding RNAs in cell division

Evolutionary Dynamics of Abundant Stop Codon Readthrough

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

International journal of molecular sciences

Circular RNAs in the cardiovascular system


RetroSeq is a bioinformatics tool that searches for mobile element insertions from aligned reads in a BAM file and a library of reference transposable elements. Please read the wiki page (link below) for usage instructions. Also, there is a page on the wiki describing how the 1000 genomes CEU trio was carried out with the files and parameters used for the various steps.

The genomic landscape shaped by selection on transposable elements across 18 mouse strains

Enhanced structural variant and breakpoint detection using SVMerge by integration of multiple detection methods and local assembly

TEMP: a computational method for analyzing transposable element polymorphism in populations

On the Population Dynamics of Junk: A Review on the Population Genomics of Transposable Elements

Sequencing and characterization of the FVB/NJ mouse genome

Spatiotemporal variations in retrovirus-host interactions among Darwin’s finches

Young SINEs in pig genomes impact gene regulation, genetic diversity, and complex traits


SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning  (NeurIPS D&B Track 2024)

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey


SVG based genome viewer written in javascript using D3

IslandViewer 3: more flexible, interactive genomic island discovery, visualization and analysis

WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes

GenomeD3Plot: a library for rich, interactive visualizations of genomic data in web applications


Confidence interval computation for evaluation in machine learning using the bootstrapping approach

Connected Speech-Based Cognitive Assessment in Chinese and English

GLOBE: A High-quality English Corpus with Global Accents for Zero-shot
  Speaker Adaptive Text-to-Speech

Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture

Enhancing Child Vocalization Classification in Multi-Channel Child-Adult Conversations Through Wav2vec2 Children ASR Features

XANE: eXplainable Acoustic Neural Embeddings

Utiliser l’explicabilité des modèles pour mettre en évidence les expressions genrées dans la parole

A Multimodal Framework for the Assessment of the Schizophrenia Spectrum

Do End-to-End Neural Diarization Attractors Need to Encode Speaker
  Characteristic Information?


PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

COCO-Stuff: Thing and Stuff Classes in Context

Contrastive Learning for Unpaired Image-to-Image Translation

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation


Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.

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

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

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data

International Conference on Computer Vision


MirasText

ParsiNLU: A Suite of Language Understanding Challenges for Persian

PerAnSel: A Novel Deep Neural Network-Based System for Persian Question Answering

Computational intelligence and neuroscience

Fatemeh sadat Hosseini, Shima Kashef, Elham Shabaninia, Hossein Nezamabadi-pour

Improving low-resource ASR performance with untranscribed out-of-domain data


Cross-disease comparison of case-control gut microbiome studies

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction

Meta analysis of microbiome studies identifies shared and disease-specific patterns

Microbiomehd: The Human Gut Microbiome In Health And Disease

Zenodo (CERN European Organization for Nuclear Research)


Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

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

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

Uncovering the Structural Fairness in Graph Contrastive Learning

Oversmoothing: A Nightmare for Graph Contrastive Learning?

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning


Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

Multivariate Log-based Anomaly Detection for Distributed Database


Implementation of soft parameter sharing for neural networks

Learning Implicitly Recurrent CNNs Through Parameter Sharing

Neural Parameter Allocation Search

Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning

MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters


SmartTrack: efficient predictive race detection

Programming Language Design and Implementation

Atomicity Checking in Linear Time using Vector Clocks

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Dependence-Aware, Unbounded Sound Predictive Race Detection

Online Set-Based Dynamic Analysis for Sound Predictive Race Detection

Predicting all data race pairs for a specific schedule


Carbon characteristics of Google Cloud regions


A self-supervised learning framework for audio-visual speech

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

Robust Self-Supervised Audio-Visual Speech Recognition

u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality

Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT

Relaxed Attention for Transformer Models

Detecting Deepfakes Without Seeing Any


Feature Importance Ranking for Deep Learning

Kernel Feature Selection via Conditional Covariance Minimization

High-Dimensional Feature Selection for Genomic Datasets


Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Few-shot Event Detection: An Empirical Study and a Unified View

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction


A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Entropic Out-of-Distribution Detection

International Joint Conference on Neural Network

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy


Repository with the code and data for all figures from Chapter 9 of the IPCC AR6


Reads a state transition system and performs property checking

I4: Incremental Inference of Inductive Invariants for Verification of Distributed Protocols

Symposium on Operating Systems Principles

AVR: Abstractly Verifying Reachability

Tools and Algorithms for Construction and Analysis of Systems

Pono: A Flexible and Extensible SMT-Based Model Checker

Model Checking of Verilog RTL Using IC3 with Syntax-Guided Abstraction

Towards an Automatic Proof of Lamport's Paxos


EasyCodeML: A visual tool for analysis of selection using CodeML

Comparative and Evolutionary Analyses on the Complete Plastomes of Five Kalanchoe Horticultural Plants

Phylogenetic Analyses of Some Key Genes Provide Information on Pollinator Attraction in Solanaceae


PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

A Survey of Deep Learning for Scientific Discovery

Missingness Bias in Model Debugging

How explainable are adversarially-robust CNNs?

Information-Theoretic Visual Explanation for Black-Box Classifiers

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


Structural Analysis and Detection of Android Malware

Learning a Neural-network-based Representation for Open Set Recognition

A multi-view context-aware approach to Android malware detection and malicious code localization

hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code


Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Deep Roto-Translation Scattering for Object Classification

Differentially Private Learning Needs Better Features (or Much More Data)

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy


Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BEiT: BERT Pre-Training of Image Transformers

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

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

The Hidden Uniform Cluster Prior in Self-Supervised Learning


[ECCV 2022] Official code for "Learning Object Placement via Dual-path Graph Completion"

Context-Aware Synthesis and Placement of Object Instances

OPA: Object Placement Assessment Dataset


Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Deep Domain Confusion: Maximizing for Domain Invariance

Conditional Adversarial Domain Adaptation

Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition


(CVPR2022) Reflash Dropout in Image Super-Resolution

Discovering Distinctive "Semantics" in Super-Resolution Networks

Federated Learning for Blind Image Super-Resolution


FourQlib is an efficient and portable cryptographic library that provides functions for computing elliptic curve based operations on the high-performance FourQ curve.

FourQ on embedded devices with strong countermeasures against side-channel attacks

Workshop on Cryptographic Hardware and Embedded Systems

Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices

Symbolic Verification of Cache Side-channel Freedom

Energy-Aware Digital Signatures for Embedded Medical Devices

Exposing cache timing side-channel leaks through out-of-order symbolic execution

Proceedings of the ACM on Programming Languages


Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

MixMatch: A Holistic Approach to Semi-Supervised Learning

Interpolation Consistency Training for Semi-Supervised Learning

Class-Imbalanced Semi-Supervised Learning

Robust Semi-Supervised Learning with Out of Distribution Data.

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


UniRep model, usage, and examples.

Predicting the antigenic evolution of SARS-COV-2 with deep learning

Pretraining model for biological sequence data

In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

Identification of plant vacuole proteins by exploiting deep representation learning features

Computational and structural biotechnology journal

Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


Knowledge Embedding Framework Powered by XiaoHan.

Knowledge Graph Embedding with Hierarchical Relation Structure

Empirical Methods in Natural Language Processing

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm


A curated list of Federated Learning papers/articles and recent advancements.

Dissecting racial bias in an algorithm used to manage the health of populations

Robust and Communication-Efficient Federated Learning from Non-IID Data

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

IEEE transactions on neural networks and learning systems

Multi-Objective Evolutionary Federated Learning

Ternary Compression for Communication-Efficient Federated Learning

A Secure EHR System Based on Hybrid Clouds

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM

IEEE journal of biomedical and health informatics

Privacy-preserving Federated Deep Learning for Wearable IoT-based Biomedical Monitoring

Molecular property prediction: recent trends in the era of artificial intelligence


[TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild

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

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation


code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

Video Reenactment as Inductive Bias for Content-Motion Disentanglement

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations


LatPlan : A domain-independent, image-based classical planner

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

Classical Planning in Deep Latent Space

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS


Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".

Enhanced Language Representation with Label Knowledge for Span Extraction

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

EventGraph: Event Extraction as Semantic Graph Parsing


LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

Learning from Few Samples: A Survey


A simple library to deploy Keras neural networks in pure C for realtime applications

DoubleHelix: nucleic acid sequence identification, assignment and validation tool for cryo-EM and crystal structure models

QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking

NeuroCodeBench: a plain C neural network benchmark for software verification


A Malware classifier dataset built with header fields’ values of Portable Executable files

A learning model to detect maliciousness of portable executable using integrated feature set

Journal of King Saud University: Computer and Information Sciences

Knowledge-Based Dataset for Training PE Malware Detection Models

Classification of malware based on file content and characteristics

Semantic Data Representation for Explainable Windows Malware Detection
  Models


Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


An open-source deep learning platform for annotation-efficient medical image computing

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy


Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Differentially Private Bias-Term Fine-tuning of Foundation Models

Differentially Private Optimization on Large Model at Small Cost

Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Delving into Differentially Private Transformer

On the accuracy and efficiency of group-wise clipping in differentially private optimization


Room impulse response simulator using python

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

VoiceFixer: Toward General Speech Restoration with Neural Vocoder


Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics

ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER


Ruleset covering algorithms for transparent machine learning

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach

Differentiable Rule Induction with Learned Relational Features

SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts


AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains


This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

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

Unsupervised Image-to-Image Translation Networks

Diverse Image-to-Image Translation via Disentangled Representations


[ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

Rethinking Range View Representation for LiDAR Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models


A simulation framework for unitary neural networks and photonic devices

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE Journal of Selected Topics in Quantum Electronics

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Recurrent Orthogonal Networks and Long-Memory Tasks

Matrix optimization on universal unitary photonic devices

Accurate Self-Configuration of Rectangular Multiport Interferometers

Asymptotically fault-tolerant programmable photonics

Dual adaptive training of photonic neural networks

Parallel fault-tolerant programming of an arbitrary feedforward photonic network


Benchmark tests supporting the openalpr library

Based on Data Mining and Big Data Intelligent System in Enterprise Cost Accounting Optimization Application

Multinational License Plate Recognition Using Generalized Character Sequence Detection

Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment

On the Cross-dataset Generalization in License Plate Recognition

An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture


Simulator for modeling energy consumption in cloud, fog, and edge computing environments

LEAF: Simulating Large Energy-Aware Fog Computing Environments

Simulation Tools for Fog Computing: A Comparative Analysis


Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

U-Net: Convolutional Networks for Biomedical Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

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

Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration

Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey


Lending Orientation to Neural Networks for Cross-view Geo-localization

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization

Visual and Object Geo-localization: A Comprehensive Survey


Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"

One-Class Learning Towards Synthetic Voice Spoofing Detection

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

SAMO: Speaker Attractor Multi-Center One-Class Learning For Voice Anti-Spoofing

Detecting Voice Cloning Attacks via Timbre Watermarking

One-class learning towards generalized voice spoofing detection.

Impact of Channel Variation on One-Class Learning for Spoof Detection


Sentence aligner

Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task

Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Applying a design mindset to develop a prototype of an electronic service for assessing the impact on the environment

Eastern-European Journal of Enterprise Technologies

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Building the Spanish-Croatian Parallel Corpus

Providing a Catalogue of Language Resources for Commercial Users

Evaluating Sentence Alignment Methods in a Low-Resource Setting: An English-YorùBá Study Case

Proceedings of the The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)

El corpus paral·lel del Diari Oficial de la Generalitat de Catalunya

Aligning and extending technologies of parallel corpora for the Kazakh language


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

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Generalization of Equilibrium Propagation to Vector Field Dynamics

A deep learning theory for neural networks grounded in physics


English word segmentation, written in pure-Python, and based on a trillion-word corpus.

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

North American Chapter of the Association for Computational Linguistics

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection

Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages

International Conference on Computational Linguistics

LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification

GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection

PGSG at SemEval-2020 Task 12: BERT-LSTM with Tweets’ Pretrained Model and Noisy Student Training Method

International Workshop on Semantic Evaluation

IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features

On the Robustness of Offensive Language Classifiers


The first realistic and public dataset with rare undesirable real events in oil wells.

A realistic and public dataset with rare undesirable real events in oil wells

Journal of Petroleum Science and Engineering

Fault detection and classification in oil wells and production/service lines using random forest

Machine learning and transport simulations for groundwater anomaly detection

Journal of Computational and Applied Mathematics

A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data

Classification of undesirable events in oil well operation

PROCESS CONTROL '21 - PROCEEDING OF THE 2021 23RD INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC)

Flow Instability Detection in Offshore Oil Wells with Multivariate Time Series Machine Learning Classifiers

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)

Imminence Monitoring of Critical Events: A Representation Learning Approach

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

Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells

International Conference on Industrial Informatics

Detecting Interesting and Anomalous Patterns In Multivariate Time-Series Data in an Offshore Platform Using Unsupervised Learning


A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.

Directed Acyclic Graph Neural Networks

Tree Decomposed Graph Neural Network

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks


Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Evaluating word embedding models: methods and experimental results

APSIPA Transactions on Signal and Information Processing

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Empirical Methods in Natural Language Processing

Unsupervised Neural Text Simplification

A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings


MitoZ: A toolkit for assembly, annotation, and visualization of animal mitochondrial genomes

MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization

MitoZ: A toolkit for mitochondrial genome assembly, annotation and visualization

The complete mitochondrial genome of Ornithomya biloba (Diptera, Hippoboscidae)

Characterization and Comparative Analysis of Mitochondrial Genomes Among the Calliphoridae (Insecta: Diptera: Oestroidea) and Phylogenetic Implications

Comparative mitochondrial genome brings insights to slight variation in gene proportion and large intergenic spacer and phylogenetic relationship of mudskipper species.

The complete mitochondrial genome of a new species of the genus Schizothorax from Sichuan, China (Cypriniformes: Cyprinidae)

Phylogenetic Analysis of Some Species of the Anopheles hyrcanus Group (Diptera: Culicidae) in China Based on Complete Mitochondrial Genomes

Complete mitochondrial genome of the longicorn Anoplophora horsfieldi Hope (Coleoptera: Cerambycidae)


A RST Parser with a trained model

Beyond News Contents: The Role of Social Context for Fake News Detection

Discourse-Aware Neural Extractive Text Summarization

Representation Learning for Text-level Discourse Parsing

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

The Role of User Profiles for Fake News Detection

PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019)

Better Document-level Sentiment Analysis from RST Discourse Parsing

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

Neural Discourse Structure for Text Categorization

Cross-lingual RST Discourse Parsing

Multi-view and multi-task training of RST discourse parsers


[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Early Stopping for Deep Image Prior

Unlimited-Size Diffusion Restoration

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration


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

Revisiting Pre-Trained Models for Chinese Natural Language Processing

CLUE: A Chinese Language Understanding Evaluation Benchmark

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

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

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

Identifying Cultural Differences through Multi-Lingual Wikipedia.


TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Do Loyal Users Enjoy Better Recommendations?

Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval

Sequence Adaptation via Reinforcement Learning in Recommender Systems


A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

Online Continual Learning in Image Classification: An Empirical Survey

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

Online Prototype Learning for Online Continual Learning

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER

Adaptive Shortcut Debiasing for Online Continual Learning

Online Continual Learning via Logit Adjusted Softmax

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation


A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

Multi-Granularity Prediction for Scene Text Recognition

GeoLayoutLM: Geometric Pre-training for Visual Information Extraction

Levenshtein OCR

Vision-Language Pre-Training for Boosting Scene Text Detectors

Vision Grid Transformer for Document Layout Analysis

LayoutLLM: Layout Instruction Tuning with Large Language Models for
  Document Understanding

LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition

LORE: Logical Location Regression Network for Table Structure Recognition

Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition

OmniParser: A Unified Framework for Text Spotting, Key Information
  Extraction and Table Recognition


An implement R package to visualize GSEA results

Expression and regulatory characteristics of peripheral blood immune cells in primary Sjögren’s syndrome patients using single-cell transcriptomic

Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage

The Infiltration of Neutrophil Granulocytes Due to Loss of PTEN Was Associated with Poor Response to Immunotherapy in Renal Cell Carcinoma

Nanoparticles targeting mutant p53 overcome chemoresistance and tumor recurrence in non-small cell lung cancer

Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes


The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

Neural Vocoder is All You Need for Speech Super-resolution

Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs


PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

Scalable Graph Neural Networks via Bidirectional Propagation

Topology-Imbalance Learning for Semi-Supervised Node Classification

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation

IGLU: Efficient GCN Training via Lazy Updates


[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation


Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Improving robustness against common corruptions by covariate shift adaptation

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

If your data distribution shifts, use self-learning

ActMAD: Activation Matching to Align Distributions for Test-Time-Training

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

The Entropy Enigma: Success and Failure of Entropy Minimization

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


[ACL 2023] Official PyTorch code for Singularity model in "Revealing Single Frame Bias for Video-and-Language Learning"

The "something something" video database for learning and evaluating visual common sense

Test of Time: Instilling Video-Language Models with a Sense of Time

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models


Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

Quantitatively Evaluating GANs With Divergences Proposed for Training

Co-Generation with GANs using AIS based HMC


Voice Conversion Challenge 2020 CycleVAE baseline system

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion

Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN


Quantum machine learning of graph-structured data

Application of deep quantum neural networks to finance

Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks

Dissipative quantum generative adversarial networks


Official code for the Stochastic Polyak step-size optimizer

Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Cutting Some Slack for SGD with Adaptive Polyak Stepsizes

A Stochastic Proximal Polyak Step Size

Comment on Stochastic Polyak Step-Size: Performance of ALI-G

Adaptive Federated Learning with Auto-Tuned Clients

Locally Adaptive Federated Learning


ToolBench, an evaluation suite for LLM tool manipulation capabilities.

A Survey on Evaluation of Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search


RoutedFusion: Learning Real-time Depth Map Fusion

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Online Learning of a Probabilistic and Adaptive Scene Representation


Position-aware Graph Neural Networks

Position-aware Graph Neural Networks

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Hierarchical message-passing graph neural networks

Adversarial Permutation Guided Node Representations for Link Prediction

A Simple and General Graph Neural Network with Stochastic Message Passing

Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing


Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Learning Causal Semantic Representation for Out-of-Distribution Prediction

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

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

Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Co-Teaching for Unsupervised Domain Adaptation and Expansion


Tools for Speech Enhancement integrated with Kaldi

Time Domain Audio Visual Speech Separation

DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation, Enhancement and Separation

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement

Multi-Input Multi-Output Target-Speaker Voice Activity Detection For Unified, Flexible, and Robust Audio-Visual Speaker Diarization

Improved Speaker-Dependent Separation for CHiME-5 Challenge


Python port of the Twokenize class of ark-tweet-nlp

Improving Twitter Named Entity Recognition using Word Representations

Proceedings of the Workshop on Noisy User-generated Text

IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations

ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5

The Role of Features and Context on Suicide Ideation Detection

Australasian Language Technology Association Workshop

Topic and audience effects on distinctively Scottish vocabulary usage in Twitter data

Proceedings of the Workshop on Stylistic Variation

Modeling Temporal Evidence from External Collections

Utterance Emotion Dynamics in Children's Poems: Emotional Changes Across Age

Using Social Networks to Improve Language Variety Identification with Neural Networks

International Joint Conference on Natural Language Processing

Learning Representations of Social Media Users

CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling

International Workshop on Semantic Evaluation


Network Slimming (Pytorch) (ICCV 2017)

Learning Efficient Convolutional Networks through Network Slimming

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Data-Independent Structured Pruning of Neural Networks via Coresets

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

Accelerating Training using Tensor Decomposition

A Proximal Algorithm for Network Slimming


Universal Romanizer that can convert any unicode script to roman (latin) script

On Romanization for Model Transfer Between Scripts in Neural Machine Translation

Transliteration for Cross-Lingual Morphological Inflection

Special Interest Group on Computational Morphology and Phonology Workshop

Romanization-based Large-scale Adaptation of Multilingual Language Models

Toxicity Detection for Indic Multilingual Social Media Content

Criteria for Useful Automatic Romanization in South Asian Languages

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models

HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness


This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Continual Learners are Incremental Model Generalizers

Accelerating Vision Transformer Training via a Patch Sampling Schedule

A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces


Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment

Pacific Rim International Conference on Artificial Intelligence

A Self-supervised Method for Entity Alignment

An Adversarial Transfer Network for Knowledge Representation Learning


CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Two-view Graph Neural Networks for Knowledge Graph Completion


Bayesian Deep Learning Benchmarks

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

Depth Uncertainty in Neural Networks

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

Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks.

Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?


GAN, transfer learning, few data.

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

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Differentiable Augmentation for Data-Efficient GAN Training

Few-shot Image Generation via Cross-domain Correspondence

MineGAN: effective knowledge transfer from GANs to target domains with few images

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains


Recurrent Neural Network Regularization

Theano: A Python framework for fast computation of mathematical expressions

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Minimal Gated Unit for Recurrent Neural Networks

Learning Private Neural Language Modeling with Attentive Aggregation

International Joint Conference on Neural Network

SYSTRAN's Pure Neural Machine Translation Systems

rnn : Recurrent Library for Torch

Direct Output Connection for a High-Rank Language Model

Character n-gram Embeddings to Improve RNN Language Models


DRAGEN open-source mapper

The reference genome of the paradise fish (Macropodus opercularis).

bioRxiv : the preprint server for biology

Integrative miRNA-mRNA network analysis to identify crucial pathways of salinity adaptation in brain transcriptome of Labeo rohita


Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

Knowledge Distillation via the Target-aware Transformer

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

The State of Knowledge Distillation for Classification


Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

Visual-Inertial Monocular SLAM with Map Reuse

International Conference on Robotics and Automation

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments

XTDrone: A Customizable Multi-rotor UAVs Simulation Platform

Adaptive Monocular Visual-Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices

Asynchronous Multi-View SLAM

SLAMM: Visual monocular SLAM with continuous mapping using multiple maps

Pixel-Wise Motion Segmentation for SLAM in Dynamic Environments


Inference algorithms for models based on Luce's choice axiom

Designing gamified rewards to encourage repeated app selection: Effect of reward placement

International Journal of Human-Computer Studies

Measuring and Improving Semantic Diversity of Dialogue Generation

"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops

A Spectral Approach to Item Response Theory

Efficient and Accurate Learning of Mixtures of Plackett-Luce Models

Preference Elicitation as Average-Case Sorting

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

GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents

Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data


In-place Parallel Super Scalar Samplesort (IPS⁴o)

In-place Parallel Super Scalar Samplesort (IPS^4o)

Engineering Faster Sorters for Small Sets of Items

Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme


Vecalign: Improved Sentence Alignment in Linear Time and Space

Empirical Methods in Natural Language Processing

Exploiting Sentence Order in Document Alignment

Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches

Workshop on Building and Using Comparable Corpora

SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP

International Conference on Computational Linguistics

KC4MT: A High-Quality Corpus for Multilingual Machine Translation

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Bitext Mining for Low-Resource Languages via Contrastive Learning

Domain Adaptation of Machine Translation with Crowdworkers

Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation

Speaker Diarization of Scripted Audiovisual Content


Image segmentations of trees outside forest

Layer Normalization

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Adaptive Gradient Methods with Dynamic Bound of Learning Rate

A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery


Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Brain tumor segmentation with Deep Neural Networks

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

Deep segmentation networks predict survival of non-small cell lung cancer


DMControl Generalization Benchmark

Generalization in Reinforcement Learning by Soft Data Augmentation

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation

Understanding What Affects Generalization Gap in Visual Reinforcement
  Learning: Theory and Empirical Evidence

Revisiting Data Augmentation in Deep Reinforcement Learning

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning


[CVPR 2019]: Pluralistic Image Completion

Pluralistic Image Completion

Text-Guided Neural Image Inpainting

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

Iterative facial image inpainting based on an encoder-generator architecture

Conditional Image Generation by Conditioning Variational Auto-Encoders

Neural Image Inpainting Guided with Descriptive Text

Generative Data Augmentation for Vehicle Detection in Aerial Images

Pluralistic Image Completion with Probabilistic Mixture-of-Experts

Towards robustness under occlusion for face recognition


State-of-the-art bilingual open-sourced Math reasoning LLMs.

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover

Lean Workbook: A large-scale Lean problem set formalized from natural
  language math problems

Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical
  Reasoning


[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories

From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation


DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues

Proceedings of the 14th International Conference on Natural Language Generation

From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization

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

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

DialogSum Challenge: Results of the Dialogue Summarization Shared Task

Who Needs External References?—Text Summarization Evaluation Using Original Documents

Fact-driven Logical Reasoning for Machine Reading Comprehension


IndicBART: A Pre-trained Model for Indic Natural Language Generation

Findings of the Association for Computational Linguistics: ACL 2022

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

YANMTT: Yet Another Neural Machine Translation Toolkit

NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages

CreoleVal: Multilingual Multitask Benchmarks for Creoles


A dataset constructed for single-frame infrared small target detection

Attentional Local Contrast Networks for Infrared Small Target Detection

AFFPN: Attention Fusion Feature Pyramid Network for Small Infrared Target Detection

IRSTFormer: A Hierarchical Vision Transformer for Infrared Small Target Detection

Lightweight Multimechanism Deep Feature Enhancement Network for Infrared Small-Target Detection

CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection


Example code for the paper "Understanding deep learning requires rethinking generalization"

mixup: Beyond Empirical Risk Minimization

How Does Learning Rate Decay Help Modern Neural Networks?

Measuring Generalization with Optimal Transport

Learning with Retrospection

With False Friends Like These, Who Can Notice Mistakes?

Reducing Flipping Errors in Deep Neural Networks


Efficient GAN-Based Anomaly Detection

Adversarially Learned Anomaly Detection

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models


StegaStamp: Invisible Hyperlinks in Physical Photographs

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Image Data Hiding in Neural Compressed Latent Representations

Stable Messenger: Steganography for Message-Concealed Image Generation

DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization


Pytorch implementation of NetVlad including training on Pittsburgh.

NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

MultiRes-NetVLAD: Augmenting Place Recognition Training With Low-Resolution Imagery

i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision

CricaVPR: Cross-image Correlation-aware Representation Learning for
  Visual Place Recognition

Optimizing Appearance-Based Localization with Catadioptric Cameras: Small-Footprint Models for Real-Time Inference on Edge Devices

Improved Visual Localization via Graph Smoothing

Improved Visual Localization via Graph Filtering


KG-BERT: BERT for Knowledge Graph Completion

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

On the Role of Conceptualization in Commonsense Knowledge Graph Construction

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

Multi-Task Learning and Improved TextRank for Knowledge Graph Completion

Commonsense Knowledge Mining from Term Definitions


The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

Using Climate-Sensitive 3D City Modeling to Analyze Outdoor Thermal Comfort in Urban Areas

ISPRS International Journal of Geo-Information


Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks

MedICaT: A Dataset of Medical Images, Captions, and Textual References

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

A New Generative Model for Textual Descriptions of Medical Images Using Transformers Enhanced with Convolutional Neural Networks


Generate C code for microcontrollers from Python's sklearn classifiers

DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

TinyML Platforms Benchmarking

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

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

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device


Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

CNN-Based Lidar Point Cloud De-Noising in Adverse Weather

Semantic Graph Based Place Recognition for 3D Point Clouds

Rethinking Range View Representation for LiDAR Segmentation

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation


XNLI: Evaluating Cross-lingual Sentence Representations

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

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

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

On the Calibration of Massively Multilingual Language Models

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space

Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling

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


Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

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

Probing Pretrained Models of Source Codes

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

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

A Survey on Large Language Models for Software Engineering

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code

A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models


PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format(VCF) files

PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files

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

The Genome Landscape of Tibetan Sheep Reveals Adaptive Introgression from Argali and the History of Early Human Settlements on the Qinghai–Tibetan Plateau

Genome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus Models

Genetic Diversity, Population Structure, and Linkage Disequilibrium of a Core Collection of Ziziphus jujuba Assessed with Genome-wide SNPs Developed by Genotyping-by-sequencing and SSR Markers

The genetic architecture of amylose biosynthesis in maize kernel

Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame

Genome-Wide Association Study (GWAS) for Mesocotyl Elongation in Rice (Oryza sativa L.) under Multiple Culture Conditions

A genome variation map provides insights into the genetics of walnut adaptation and agronomic traits

Genomic insights into the evolution of Echinochloa species as weed and orphan crop


Recurrent neural network grammars

Recurrent Neural Network Grammars

DyNet: The Dynamic Neural Network Toolkit

What Do Recurrent Neural Network Grammars Learn About Syntax?

Unsupervised Recurrent Neural Network Grammars

INNOVATORS at SemEval-2021 Task-11: A Dependency Parsing and BERT-based model for Extracting Contribution Knowledge from Scientific Papers

Meeting of the Association for Computational Linguistics


BERT for Coreference Resolution

Longformer: The Long-Document Transformer

BERT for Coreference Resolution: Baselines and Analysis

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art

Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network

North American Chapter of the Association for Computational Linguistics

Fast End-to-end Coreference Resolution for Korean

A Study on Entity Resolution for Email Conversations

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

CEREC: A Corpus for Entity Resolution in Email Conversations

Incorporating Constituent Syntax for Coreference Resolution

Leveraging Pre-trained Models for Failure Analysis Triplets Generation


Super Resolution datasets and models in Pytorch

Enhanced Deep Residual Networks for Single Image Super-Resolution

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Residual Dense Network for Image Super-Resolution

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images

Computer methods and programs in biomedicine


SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis

A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics

Computational and structural biotechnology journal

Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics


Masked Autoregressive Flow

Masked Autoregressive Flow for Density Estimation

Normalizing Flows: An Introduction and Review of Current Methods

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

Mining gold from implicit models to improve likelihood-free inference

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

Roundtrip: A Deep Generative Neural Density Estimator

Transformation Autoregressive Networks

Learning deep kernels for exponential family densities

Neural Density Estimation and Likelihood-free Inference

TraDE: Transformers for Density Estimation

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations


Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission

Graph Neural Network for Traffic Forecasting: A Survey

RIoTBench: An IoT benchmark for distributed stream processing systems

Concurrency and Computation: Practice and Experience

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

Transportation Research Part C: Emerging Technologies

Benchmarking Distributed Stream Processing Platforms for IoT Applications

Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals

The Multivariate Generalised von Mises distribution: Inference and applications

The Maximum Trajectory Coverage Query in Spatial Databases

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks

Pseudo-Pflow: Development of Nationwide Synthetic Open Dataset for People Movement Based on Limited Travel Survey and Open Statistical Data


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

Discriminative Active Learning

Multi-class Text Classification using BERT-based Active Learning


The release codes of LA-MCTS with its application to Neural Architecture Search.

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

Sample-Efficient Neural Architecture Search by Learning Action Space

Few-shot Neural Architecture Search

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

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

Searching in the Forest for Local Bayesian Optimization

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation
  Strategy


[NeurIPS2023] This is the official code of the paper "GlyphControl: Glyph Conditional Control for Visual Text Generation"

Character-Aware Models Improve Visual Text Rendering

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation


This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

Tutorial on Variational Autoencoders

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

MMGAN: Generative Adversarial Networks for Multi-Modal Distributions


Pytorch0.4.1 codes for InsightFace

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

EditGAN: High-Precision Semantic Image Editing

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Variational Model Inversion Attacks


(Not Offical) BBMap short read aligner, and other bioinformatic tools.

Stable distinct core eukaryotic viromes in different mosquito species from Guadeloupe, using single mosquito viral metagenomics

Probiotic consumption relieved human stress and anxiety symptoms possibly via modulating the neuroactive potential of the gut microbiota

Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Metagenomic analysis of bile salt biotransformation in the human gut microbiome

Functional characterization of the human tRNA methyltransferases TRMT10A and TRMT10B

The megabase-scale crossover landscape is largely independent of sequence divergence

What Can Long Terminal Repeats Tell Us About the Age of LTR Retrotransposons, Gene Conversion and Ectopic Recombination?

Common Presence of Phototrophic Gemmatimonadota in Temperate Freshwater Lakes

Benzo[a]pyrene stress impacts adaptive strategies and ecological functions of earthworm intestinal viromes


A Java implementation of Shamir's Secret Sharing algorithm over GF(256).

Privacy-preserving Identity Broadcast for Contact Tracing Applications

Shared-Dining: Broadcasting Secret Shares using Dining-Cryptographers Groups


An efficient way to filter duplicate lines from input, à la uniq.

BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets

GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

Evaluation Of Word Embeddings From Large-Scale French Web Content


EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

Video-based AI for beat-to-beat assessment of cardiac function

Deep Learning Discovery of Demographic Biomarkers in Echocardiography

Uncertainty Estimation in Deep 2D Echocardiography Segmentation


Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Random Erasing Data Augmentation

Training Neural Networks with Local Error Signals

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

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification


FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

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

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

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

Fast High-Dimensional Bilateral and Nonlocal Means Filtering

Blind inverse gamma correction with maximized differential entropy

Denoising single images by feature ensemble revisited

CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser


ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

12-in-1: Multi-Task Vision and Language Representation Learning

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning


Diarization scoring tools.

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

The Third DIHARD Diarization Challenge

Third DIHARD Challenge Evaluation Plan

Automated evaluation of psychotherapy skills using speech and language technologies

Analysis of the BUT Diarization System for VoxConverse Challenge

Supervised online diarization with sample mean loss for multi-domain data

DOVER: A Method for Combining Diarization Outputs

A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AI

International Conference on Computational Linguistics


TensorFlow implemenation of GRu4Rec model

Session-based Recommendations with Recurrent Neural Networks

Consistency-Aware Recommendation for User-Generated Item List Continuation

Learning to Augment for Casual User Recommendation

The Effect of Third Party Implementations on Reproducibility

Proceedings of the 17th ACM Conference on Recommender Systems


漢語拆字字典

PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

MTTM: Metamorphic Testing for Textual Content Moderation Software

Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction

StyleBERT: Chinese pretraining by font style information

Linking Representations with Multimodal Contrastive Learning

Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels

International Joint Conference on Natural Language Processing

A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check


Changes in the Microbial Structure of the Root Soil and the Yield of Chinese Baby Cabbage by Chemical Fertilizer Reduction with Bio-Organic Fertilizer Application

Comparative Molecular Characterization of Novel and Known Piscine Toti-Like Viruses

De novo assembly and transcriptome characterization: Novel insights into the mechanisms of primary ovarian cancer in Microtus fortis

Synergistic Activity of Cefiderocol in Combination with Piperacillin-Tazobactam, Fosfomycin, Ampicillin-Sulbactam, Imipenem-Relebactam and Ceftazidime-Avibactam against Carbapenem-Resistant Gram-Negative Bacteria

High-quality Gossypium hirsutum and Gossypium barbadense genome assemblies reveal the landscape and evolution of centromeres

Mapping Floral Genetic Architecture in Prunus mume, an Ornamental Woody Plant

Identification and Functional Analysis of Differentially Expressed Genes in Myzus persicae (Hemiptera: Aphididae) in Response to Trans-anethole

Pumping iron: A multi-omics analysis of two extremophilic algae reveals iron economy management

Mapping open chromatin by ATAC-seq in bread wheat

Peroxisome Proliferator-Activated Receptor Activation in Precision-Cut Bovine Liver Slices Reveals Novel Putative PPAR Targets in Periparturient Dairy Cows


Dataset Condensation (ICLR21 and ICML21)

Dataset Condensation with Gradient Matching

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Condensation with Distribution Matching

Privacy for Free: How does Dataset Condensation Help Privacy?

Synthesizing Informative Training Samples with GAN

Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness

Exploring the Impact of Dataset Bias on Dataset Distillation


Keras implementation for Deep Embedding Clustering (DEC)

Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

Deep Kernel Learning for Clustering

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE

Leveraging tensor kernels to reduce objective function mismatch in deep clustering


VoiceSplit: Targeted Voice Separation by Speaker-Conditioned Spectrogram

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks

SpeechX: Neural Codec Language Model as a Versatile Speech Transformer

Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models


Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

Detecting Anomalies within Time Series using Local Neural Transformations

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection


The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.

Five-State Extended Kalman Filter for Estimation of Speed over Ground (SOG), Course over Ground (COG) and Course Rate of Unmanned Surface Vehicles (USVs): Experimental Results

LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter

Path following Control of an Underactuated Catamaran for Recovery Maneuvers

Optimal universal controllers for roll stabilization

Convex Geometric Trajectory Tracking Using Lie Algebraic MPC for Autonomous Marine Vehicles

Fixed-time Leader-Following Formation Control of AUVs Without Velocity Measurements

Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform

Journal of Marine Science and Engineering


Phrase-Based & Neural Unsupervised Machine Translation

Cross-lingual Language Model Pretraining

Generalized Data Augmentation for Low-Resource Translation

Boosting Neural Machine Translation with Similar Translations

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework

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

PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings

Proceedings of the Third Conference on Machine Translation: Shared Task Papers


BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

Towards String-to-Tree Neural Machine Translation

Towards Topic-to-Question Generation

International Conference on Computational Logic

RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy

Chemical-induced disease relation extraction with various linguistic features

Database : the journal of biological databases and curation

Event Extraction as Dependency Parsing for BioNLP 2011

Meeting of the Association for Computational Linguistics

Multi-Predicate Semantic Role Labeling

Empirical Methods in Natural Language Processing

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

Self-Training for Parsing Learner Text

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022


DeepSpeech based forced alignment tool

Scaling Speech Technology to 1,000+ Languages

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice

A Toolbox for Construction and Analysis of Speech Datasets


code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

Adaptive Threshold Selective Self-Attention for Chinese NER

Chinese Medical Named Entity Recognition Based on Fusion of Global Features and Multi-Local Features


Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

Parametric Contrastive Learning

ResLT: Residual Learning for Long-tailed Recognition

Generalized Parametric Contrastive Learning

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

Region Rebalance for Long-Tailed Semantic Segmentation

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness


Machine learning for high frequency bitcoin price prediction

Anticipating cryptocurrency prices using machine learning

Predicting digital asset market based on blockchain activity data


Calculate signed distance fields for arbitrary meshes

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

NeuralFusion: Online Depth Fusion in Latent Space

Adversarial Generation of Continuous Implicit Shape Representations

Object Motion Guided Human Motion Synthesis

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input

Distributionally Robust Policy Learning via Adversarial Environment Generation

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Learning Online Multi-Sensor Depth Fusion

FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics


CVNets: A library for training computer vision networks

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Separable Self-attention for Mobile Vision Transformers

CVNets: High Performance Library for Computer Vision

Overcoming the Stability Gap in Continual Learning

Bytes Are All You Need: Transformers Operating Directly On File Bytes

RangeAugment: Efficient Online Augmentation with Range Learning


Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Curriculum By Texture.

The Entropy Enigma: Success and Failure of Entropy Minimization

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images


PubMedQA: A Dataset for Biomedical Research Question Answering

DataComp-LM: In search of the next generation of training sets for
  language models

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering

MediSwift: Efficient Sparse Pre-trained Biomedical Language Models


Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?

Deep Coupling Network For Multivariate Time Series Forecasting


Implements of Awesome RecSystem Models with PyTorch/TF2.0

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Product-based Neural Networks for User Response Prediction


Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Deep Graph Generators: A Survey

Graph Generation via Scattering

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

Molecular Graph Generation via Geometric Scattering


Differentiable convex optimization layers

Differentiable Convex Optimization Layers

Learning Convex Optimization Models

End-to-End Learning and Intervention in Games

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Differentiating through Log-Log Convex Programs

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach

Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming


Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation


Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Deep learning-based electroencephalography analysis: a systematic review

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

An overview of open source Deep Learning-based libraries for Neuroscience


A FASTQ lossless compression algorithm especially designed for nanopore sequencing FASTQ files.

Real-time analysis of nanopore-based metagenomic sequencing from infected orthopaedic devices

Portable nanopore-sequencing technology: Trends in development and applications

ENANO: Encoder for NANOpore FASTQ files


Round Eliminator: a tool for automatic speedup simulation

Lower Bounds for Maximal Matchings and Maximal Independent Sets

Classification of distributed binary labeling problems

Distributed Lower Bounds for Ruling Sets

Locally Checkable Problems in Rooted Trees

Truly Tight-in-Δ Bounds for Bipartite Maximal Matching and Variants

Improved Distributed Lower Bounds for MIS and Bounded (Out-)Degree Dominating Sets in Trees

Efficient Classification of Locally Checkable Problems in Regular Trees

Efficient Load-Balancing through Distributed Token Dropping

Online Locality Meets Distributed Quantum Computing


Open source German transmission grid model based on OpenStreetMap

PyPSA-Eur: An open optimisation model of the European transmission system

RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system

Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool


Software for the prediction of DEER and PRE data from conformational ensembles.

Global Structure of the Intrinsically Disordered Protein Tau Emerges from Its Local Structure

Mechanistic basis of substrate–O2 coupling within a chitin-active lytic polysaccharide monooxygenase: An integrated NMR/EPR study

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

Structure and dynamics of a nanodisc by integrating NMR, SAXS and SANS experiments with molecular dynamics simulations

DEER-PREdict: Software for efficient calculation of spin-labeling EPR and NMR data from conformational ensembles


S3norm ver2 + IDEAS epigenetic state / master peak list

Jointly characterizing epigenetic dynamics across multiple human cell types

Accurate and reproducible functional maps in 127 human cell types via 2D genome segmentation

An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis

S3norm: simultaneous normalization of sequencing depth and signal-to-noise ratio in epigenomic data

Direct prediction of regulatory elements from partial data without imputation

S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types


A simple Python module for reading and analyzing data from C2Ray and CubeP3M data files.

Einstein's Universe: Cosmological structure formation in numerical relativity

The Trouble with Hubble: Local versus Global Expansion Rates in Inhomogeneous Cosmological Simulations with Numerical Relativity

Signatures of primordial gravitational waves in matter power spectrum

Inhomogeneous cosmology in an anisotropic Universe


A cold, massive, rotating disk galaxy 1.5 billion years after the Big Bang

The Kinematics of z ≳ 6 Quasar Host Galaxies

Dissecting the Local Environment of FRB 190608 in the Spiral Arm of its Host Galaxy

A Comparison of the Stellar, CO, and Dust-continuum Emission from Three Star-forming HUDF Galaxies at z ∼ 2

The SUPERCOLD-CGM Survey. I. Probing the Extended CO(4–3) Emission of the Circumgalactic Medium in a Sample of 10 Enormous Lyα Nebulae at z ∼ 2