Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation

How to Train BERT with an Academic Budget


Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

Addressing catastrophic forgetting for medical domain expansion

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation


Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

How deep learning extracts and learns leaf features for plant classification

Deep-Plant: Plant Identification with convolutional neural networks

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks

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

Plant Classification Based on Gated Recurrent Unit


SQuAD: 100,000+ Questions for Machine Comprehension of Text

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics


unet for image segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Test-time augmentation for deep learning-based cell segmentation on microscopy images

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Microscopy cell nuclei segmentation with enhanced U-Net

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International journal of applied earth observation and geoinformation

Large-scale detection and categorization of oil spills from SAR images with deep learning

AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Improving the segmentation of scanning probe microscope images using convolutional neural networks

Deep‐learning‐assisted algorithm for catheter reconstruction during MR‐only gynecological interstitial brachytherapy

Journal of applied clinical medical physics


Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Bag of Tricks for Image Classification with Convolutional Neural Networks

Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge.


PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors

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

IEEE transactions on visualization and computer graphics


modified version of caffe which support DeconvNet and DecoupledNet

Learning Deconvolution Network for Semantic Segmentation

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

Creation of a Deep Convolutional Auto-Encoder in Caffe


Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Optimus: the first large-scale pre-trained VAE language model

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for
  Language Modeling

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational
  AutoEncoders

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

Discriminative and Generative Transformer-based Models For Situation Entity Classification

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent
  Sentence Spaces


nucleosome calling using ATAC-seq

Structured nucleosome fingerprints enable high-resolution mapping of chromatin architecture within regulatory regions

Nucleosome positioning: resources and tools online

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


Data augmentation for NLP, accepted at EMNLP 2021 Findings

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

AEDA: An Easier Data Augmentation Technique for Text Classification


Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

A Dense Representation Framework for Lexical and Semantic Matching


iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019

A linearized framework and a new benchmark for model selection for fine-tuning

Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

Train/Test-Time Adaptation with Retrieval


Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Striving for Simplicity: The All Convolutional Net

LARNN: Linear Attention Recurrent Neural Network


Matlab code for all variants of robust PCA and SPCP

A variational approach to stable principal component pursuit

An ADMM Approach to Masked Signal Decomposition Using Subspace Representation

Subspace Learning in The Presence of Sparse Structured Outliers and Noise

Tensor Robust Principal Component Analysis: Better recovery with atomic norm regularization

Adaptive Quantile Low-Rank Matrix Factorization

Robust Dual-Graph Regularized Moving Object Detection


A Pytorch implementation of the optimal transport kernel embedding

A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention


Multicore in-memory storage engine

An analysis of concurrency control protocols for in-memory databases with CCBench

C11Tester: A Race Detector for C/C++ Atomics Technical Report


Interpreting Bidirectional Encoder Representations from Transformers (BERT)

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

What Does BERT Learn about the Structure of Language?

Meeting of the Association for Computational Linguistics

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Does BERT Rediscover a Classical NLP Pipeline?


Utilities to perform Uncertainty Quantification on Keras Models

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

DropConnect is effective in modeling uncertainty of Bayesian deep networks

Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification

Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings


PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Pre-training Polish Transformer-based Language Models at Scale

From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection

Learning for amalgamation: A multi-source transfer learning framework for sentiment classification

Investigating Monolingual and Multilingual BERTModels for Vietnamese
  Aspect Category Detection

Using Convolution Neural Network with BERT for Stance Detection in Vietnamese

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

An Empirical Study for Vietnamese Constituency Parsing with Pre-training

Utilizing Bert for Question Retrieval on Vietnameses E-commerce Sites

Pacific Asia Conference on Language, Information, and Computation

ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites


Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"

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

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation


Code for conservative Q-learning

Offline Reinforcement Learning with Implicit Q-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning

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

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Continuous Doubly Constrained Batch Reinforcement Learning


Creative Commons Attribution Share Alike 4.0 International

[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features

Trends, Limitations and Open Challenges in Automatic Readability Assessment Research

ChatLog: Recording and Analyzing ChatGPT Across Time

Hybrid Models for Sentence Readability Assessment

Workshop on Innovative Use of NLP for Building Educational Applications


Binarized Neural Networks

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Neural Networks with Few Multiplications

An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks


An implementation of  "Community Preserving Network Embedding" (AAAI 2017)

Community Preserving Network Embedding

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Graph-based Semi-supervised Learning: A Comprehensive Review

LNEMLC: Label Network Embeddings for Multi-Label Classification


Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.


ACL'2022: Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

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

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


A library that implements fairness-aware machine learning algorithms

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


Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

Generative Compositional Augmentations for Scene Graph Prediction


My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

International Conference on Learning Representations

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

Autoencoding Under Normalization Constraints

tegdet: An extensible Python library for anomaly detection using time evolving graphs


lightspeed matlab toolbox

A Low-Complexity Equalizer for Massive MIMO Systems Based on Array Separability

Zenodo (CERN European Organization for Nuclear Research)

Joint Channel Estimation, Activity Detection and Data Decoding Based on Dynamic Message-Scheduling Strategies for mMTC

Bounding the Plausibility of Physical Theories in a Device-Independent Setting via Hypothesis Testing

Density functional theory method for twisted geometries with application to torsional deformations in group-IV nanotubes

Low-Complexity separable beamformers for massive antenna array systems

Random-batch method for multi-species stochastic interacting particle systems


A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.

ShapeNet: An Information-Rich 3D Model Repository

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction


A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots (ROBIO2023)

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots


Implementation of  Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Flamingo: a Visual Language Model for Few-Shot Learning

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

MEWL: Few-shot multimodal word learning with referential uncertainty

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Active Reasoning in an Open-World Environment


Convert NCBI taxonomy dump into lineages

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

A comprehensive and quantitative exploration of thousands of viral genomes

A Comparison of Three Different Bioinformatics Analyses of the 16S–23S rRNA Encoding Region for Bacterial Identification

Proposal of Carbonactinosporaceae fam. nov. within the class Actinomycetia. Reclassification of Streptomyces thermoautotrophicus as Carbonactinospora thermoautotrophica gen. nov., comb. nov

NAD+ biosynthesis in bacteria is controlled by global carbon/nitrogen levels via PII signaling

Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5ʹ End of ORFeomes

Transcriptome Analysis of Amyloodinium ocellatum Tomonts Revealed Basic Information on the Major Potential Virulence Factors


Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Temporal Relational Ranking for Stock Prediction

Temporal-Relational hypergraph tri-Attention networks for stock trend prediction


Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

DiffusionNet: Discretization Agnostic Learning on Surfaces

DPFM: Deep Partial Functional Maps

Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence

NCP: Neural Correspondence Prior for Effective Unsupervised Shape
  Matching

Understanding and Improving Features Learned in Deep Functional Maps

Generalizable Local Feature Pre-training for Deformable Shape Analysis


Mass-editing thousands of facts into a transformer memory (ICLR 2023)

Mass-Editing Memory in a Transformer

Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing at Scale leads to Gradual and Catastrophic Forgetting

Model Editing Can Hurt General Abilities of Large Language Models

See the Unseen: Better Context-Consistent Knowledge-Editing by Noises


HarDNet: A Low Memory Traffic Network

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection

Deep ensembles in bioimage segmentation


Implicit Geometric Regularization for Learning Shapes

Shape As Points: A Differentiable Poisson Solver

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling


CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts

CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained
  Vision-Language Model

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

Findings of the Association for Computational Linguistics: ACL 2023


Switchboard Dialog Act Corpus with Penn Treebank links

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Language Through a Prism: A Spectral Approach for Multiscale Language Representations

Speaker Turn Modeling for Dialogue Act Classification

Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task

Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Speaker-change Aware CRF for Dialogue Act Classification

An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains

Ranking of Potential Questions


[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

GFNet: Global Filter Networks for Visual Recognition

IEEE transactions on pattern analysis and machine intelligence

SF2Former: Amyotrophic Lateral Sclerosis Identification From
  Multi-center MRI Data Using Spatial and Frequency Fusion Transformer


Pretrained language model with 100B parameters

Holistic Evaluation of Language Models

A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation

On the application of Large Language Models for language teaching and
  assessment technology

Effects of Generative Chatbots in Higher Education

GPT-SW3: An Autoregressive Language Model for the Nordic Languages

LLM for SoC Security: A Paradigm Shift

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language
  Models


Transformer for abstractive summarization on cnn/daily-mail and gigawords

PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing

On the Helpfulness of Document Context to Sentence Simplification

From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation


An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

Auto-Keras: An Efficient Neural Architecture Search System

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

Proceedings of the Python in Science Conferences

ATM: A distributed, collaborative, scalable system for automated machine learning

Towards Automatically-Tuned Deep Neural Networks

The Springer series on challenges in machine learning

Ludwig: a type-based declarative deep learning toolbox

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Model-based Asynchronous Hyperparameter and Neural Architecture Search


Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"

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

IEEE International Conference on Computer Vision


A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

Automatic Hierarchical Attention Neural Network for Detecting AD

Learning to Answer Visual Questions from Web Videos

How do you correct run-on sentences it's not as easy as it seems

Comprehensive Punctuation Restoration for English and Polish

Findings of the Association for Computational Linguistics: EMNLP 2021


Editing in Style: Uncovering the Local Semantics of GANs

EditGAN: High-Precision Semantic Image Editing

Deepfakes Generation and Detection: A Short Survey


Code of the CVPR 2021 Oral paper: A Recurrent Vision-and-Language BERT for Navigation

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation

Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments


Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation

Counterfactual Off-Policy Training for Neural Response Generation

DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network


A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Data Augmentation for Graph Neural Networks

Bayesian graph convolutional neural networks for semi-supervised classification

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings


Adaptive Neural Trees

Deep Residual Learning for Image Recognition

Convolutional Networks with Adaptive Inference Graphs

Adaptive Neural Trees

Dive into Decision Trees and Forests: A Theoretical Demonstration


Deep Multi-scale CNN for Dynamic Scene Deblurring

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

A Global-Local Blur Disentangling Network for Dynamic Scene Deblurring


[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

Self-Supervised Multi-Modal Sequential Recommendation


Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Overfitting in adversarially robust deep learning

Bag of Tricks for Adversarial Training

Towards Bridging the gap between Empirical and Certified Robustness
  against Adversarial Examples

Calibrated Adversarial Training

On the Robustness of Neural Collapse and the Neural Collapse of
  Robustness


On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for neural networks in PyTorch.

Pruning Filters for Efficient ConvNets

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Studying the plasticity in deep convolutional neural networks using random pruning

Shapley Value as Principled Metric for Structured Network Pruning


Language to Logical Form with Neural Attention

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

Beyond word embeddings: learning entity and concept representations from large scale knowledge bases


A data index for learning causality.

A Survey of Learning Causality with Data: Problems and Methods

A Practical Data Repository for Causal Learning with Big Data

A Review of the Role of Causality in Developing Trustworthy AI Systems

Collaborative causal inference on distributed data

Replication Data for: Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions


Fast & Simple repository for pre-training and fine-tuning T5-style models

The MiniPile Challenge for Data-Efficient Language Models

nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style
  Models with Limited Resources


Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields


Stopwords for 50 languages in JSON format

Analyzing

Multilingual and Cross-Lingual Complex Word Identification

Recent Advances in Natural Language Processing

Zika discourse in the Americas: A multilingual topic analysis of Twitter

Measuring the diffusion of innovations with paragraph vector topic models

Sentiment Analysis of Tweets in Three Indian Languages

International Conference on Computational Linguistics

Learning Multilingual Topics from Incomparable Corpus

An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models

BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions


Style Transfer Through Back-Translation

Text Style Transfer: A Review and Experimental Evaluation

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning

Effective writing style imitation via combinatorial paraphrasing


GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Deep Learning on Graphs: A Survey

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

E(n) Equivariant Graph Neural Networks

Scalable Deep Generative Modeling for Sparse Graphs

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces.

Graph Generation with Variational Recurrent Neural Network

Partition and Code: learning how to compress graphs

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

An Unpooling Layer for Graph Generation


DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Dynamic and Interpretable Hazard-Based Models of Traffic Incident Durations

Decoding kinase-adverse event associations for small molecule kinase inhibitors

Neural Fine-Gray: Monotonic neural networks for competing risks


ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

ToTTo: A Controlled Table-To-Text Generation Dataset

Text-to-Text Pre-Training for Data-to-Text Tasks

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

Table-To-Text generation and pre-training with TabT5

CoNT: Contrastive Neural Text Generation


Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Learning Incrementally to Segment Multiple Organs in a CT Image

Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation


Graph CNNs for population graphs

Deep Learning on Graphs: A Survey

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease

Spectral Graph Convolutions for Population-based Disease Prediction

Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification

Multi-modal Graph Learning for Disease Prediction

An overview of deep learning in medical imaging


GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

A Survey on Neural Speech Synthesis

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

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis

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

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

SIG-VC: A Speaker Information Guided Zero-Shot Voice Conversion System for Both Human Beings and Machines

Mel Spectrogram Inversion with Stable Pitch

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

Multi-Scale Sub-Band Constant-Q Transform Discriminator for
  High-Fidelity Vocoder


struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Toward Understanding and Evaluating Structural Node Embeddings

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


Lung fields segmentation on CXR images using convolutional neural networks.

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.

Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach

COVID-19 image classification using deep learning: Advances, challenges and opportunities

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning

International journal of imaging systems and technology


To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

To Trust Or Not To Trust A Classifier

Addressing Failure Prediction by Learning Model Confidence

Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model

Robust Deep Learning for Autonomous Driving


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

Unsupervised Cross-lingual Representation Learning at Scale

On the Cross-lingual Transferability of Monolingual Representations

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

Bidirectional Language Models Are Also Few-shot Learners

BERT Based Multilingual Machine Comprehension in English and Hindi

Cross-Lingual Passage Re-Ranking With Alignment Augmented Multilingual BERT

Modern Methods for Text Generation

The Catalan Language CLUB


Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Bootstrapped Transformer for Offline Reinforcement Learning

Efficient Planning in a Compact Latent Action Space

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Deep Generative Models for Decision-Making and Control


A library that makes Evolutionary Strategies (ES) simple to use.

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning

Minimal Neural Network Models for Permutation Invariant Agents

Proceedings of the Genetic and Evolutionary Computation Conference


Stochastic Weight Averaging in PyTorch

Averaging Weights Leads to Wider Optima and Better Generalization

A Simple Baseline for Bayesian Uncertainty in Deep Learning

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

SWALP : Stochastic Weight Averaging in Low-Precision Training

Learning Neural Network Subspaces


BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts

Robustness to Modification with Shared Words in Paraphrase Identification


DICTOL - A Dictionary Learning Toolbox in Matlab and Python

Learning a low-rank shared dictionary for object classification

Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding


Generate an interactive dot plot from mummer or minimap alignments

Genome evolution and diversity of wild and cultivated potatoes

Gapless assembly of maize chromosomes using long-read technologies

Improved genome assembly and pan‐genome provide key insights into eggplant domestication and breeding

The Plant journal : for cell and molecular biology

Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control

Effect of sequence depth and length in long-read assembly of the maize inbred NC358

Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

The Gossypium longicalyx Genome as a Resource for Cotton Breeding and Evolution

Chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

A Chromosome-Scale Assembly of the Wheat Leaf Rust Pathogen Puccinia triticina Provides Insights Into Structural Variations and Genetic Relationships With Haplotype Resolution

De novo assembly of human genome at single-cell levels


ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

Learning Robust Global Representations by Penalizing Local Predictive Power

Self-Challenging Improves Cross-Domain Generalization

Masked Siamese Networks for Label-Efficient Learning

Computational models of category-selective brain regions enable high-throughput tests of selectivity

On the Strong Correlation Between Model Invariance and Generalization

Learning Visual Representations for Transfer Learning by Suppressing Texture

Confidence and Dispersity Speak: Characterising Prediction Matrix for
  Unsupervised Accuracy Estimation

Adaptive Calibrator Ensemble for Model Calibration under Distribution
  Shift


GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

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


The rep for the RankIQA paper in ICCV 2017

RankIQA: Learning from Rankings for No-reference Image Quality Assessment

Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability


Source code and datasets of "CANE: Context-Aware Network  Embedding for Relation Modeling"

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

Improving Textual Network Embedding with Global Attention via Optimal Transport

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors

A Deep Neural Information Fusion Architecture for Textual Network Embeddings


Fast and accurately polish the genome generated by long reads.

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

The Cymbidium genome reveals the evolution of unique morphological traits

Genomic basis of homoploid hybrid speciation within chestnut trees

The Complete Mitogenome of Elymus sibiricus and Insights Into Its Evolutionary Pattern Based on Simple Repeat Sequences of Seed Plant Mitogenomes

Complete mitochondrial genome assembly and comparison of Camellia sinensis var. Assamica cv. Duntsa

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

Chromosome-scale assembly and whole-genome sequencing of 266 giant panda roundworms provide insights into their evolution, adaptation and potential drug targets

A draft genome of the medicinal plant Cremastra appendiculata (D. Don) provides insights into the colchicine biosynthetic pathway

Genome Sequencing of Amomum tsao-ko Provides Novel Insight Into Its Volatile Component Biosynthesis

A high-resolution genome of an euryhaline and eurythermal rhinogoby (Rhinogobius similis Gill 1895)


3D de novo assembly (3D DNA) pipeline

Contrasting signatures of genomic divergence during sympatric speciation

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

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

Inferring microbiota functions from taxonomic genes: a review

Genomic insights into the origin, domestication and genetic basis of agronomic traits of castor bean

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

Chromosome-scale assembly and annotation of the perennial ryegrass genome

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis


Source code of Graph-Bert

Graph Self-Supervised Learning: A Survey

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

Graph-Bert: Only Attention is Needed for Learning Graph Representations

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via
  Prompt Augmented by ChatGPT

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems

SEGEN: Sample-Ensemble Genetic Evolutional Network Model

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction


An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

CNN-based sensor fusion techniques for multimodal human activity recognition

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (ISWC 17)

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

Using electrodermal activity to recognize ease of engagement in children during social interactions

AROMA

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

A Survey on Deep Learning for Human Activity Recognition

A probabilistic ontological framework for the recognition of multilevel human activities

MobiSys - ClusterFL: a similarity-aware federated learning system for human activity recognition

International Conference on Mobile Systems, Applications, and Services

Let's (not) Stick Together: Pairwise Similarity Biases Cross-Validation in Activity Recognition

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition


pytorch code of multi scale 1d resnet, we hope it will help your research

Self-attention for raw optical Satellite Time Series Classification

BreizhCrops: A Time Series Dataset for Crop Type Mapping

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

An ensemble of convolution-based methods for fault detection using vibration signals


VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency

An Audio-Visual Speech Separation Model Inspired by
  Cortico-Thalamo-Cortical Circuits


WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Time-Series Anomaly Detection Service at Microsoft

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

A Survey on Time-Series Pre-Trained Models


Code and hyperparameters for the paper "Generative Adversarial Networks"

Generative Adversarial Networks

A scoping review of transfer learning research on medical image analysis using ImageNet

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

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

Deep Feature Learning for EEG Recordings

Harnessing optoelectronic noises in a photonic generative network

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

A review of radar-based nowcasting of precipitation and applicable machine learning techniques

Detecting in-vehicle intrusion via semi-supervised learning-based convolutional adversarial autoencoders

Generative Adversarial Networks in Brain Imaging: A Narrative Review


Salesforce open-source LLMs with 8k sequence length.

L-Eval: Instituting Standardized Evaluation for Long Context Language
  Models

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

XGen-7B Technical Report


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

MonoScene: Monocular 3D Semantic Scene Completion

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness


Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".

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

Learning the Best Pooling Strategy for Visual Semantic Embedding


MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation

Fingerspelling Detection in American Sign Language

Rethinking Learning Approaches for Long-Term Action Anticipation


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Hierarchical Graph Representation Learning with Differentiable Pooling

Deep Learning on Graphs: A Survey

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification

IEEE transactions on network science and engineering

The Impact of Global Structural Information in Graph Neural Networks Applications

International Conference on Data Technologies and Applications

State of the Art and Potentialities of Graph-level Learning

Contrastive Graph Few-Shot Learning


Github of the FaceForensics dataset

FaceForensics++: Learning to Detect Manipulated Facial Images

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

CNN-generated images are surprisingly easy to spot... for now

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

The Deepfake Detection Challenge (DFDC) Preview Dataset

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

What makes fake images detectable? Understanding properties that generalize

Sharp Multiple Instance Learning for DeepFake Video Detection

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

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset


A python library that makes AMR parsing, generation and visualization simple.

Investigating Pretrained Language Models for Graph-to-Text Generation

AMR Parsing via Graph-Sequence Iterative Inference

Code4Struct: Code Generation for Few-Shot Event Structure Prediction

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations

Ensembling Graph Predictions for AMR Parsing

Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark
  for AMR Graph Similarity

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

SBERT studies Meaning Representations: Decomposing Sentence Embeddings
  into Explainable Semantic Features

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Accounting for Language Effect in the Evaluation of Cross-lingual AMR Parsers


Variational AutoEncoder + ResNet Transfer Learning

Deep Residual Learning for Image Recognition

Auto-Encoding Variational Bayes


Flickr-Faces-HQ Dataset (FFHQ)

A Style-Based Generator Architecture for Generative Adversarial Networks

Alias-Free Generative Adversarial Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Vector-quantized Image Modeling with Improved VQGAN

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

What makes fake images detectable? Understanding properties that generalize

AI-synthesized faces are indistinguishable from real faces and more trustworthy

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

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection


➡➡⬅➡ Draw gene arrow maps in ggplot2

A draft human pangenome reference

Single-cell virus sequencing of influenza infections that trigger innate immunity

Long-Read Genome Assemblies Reveal Extraordinary Variation in the Number and Structure of MHC Loci in Birds

Tight Adherence (Tad) Pilus Genes Indicate Putative Niche Differentiation in Phytoplankton Bloom Associated Rhodobacterales

A ROR2 coding variant is associated with craniofacial variation in domestic pigeons

Clinical Molecular and Genomic Epidemiology of Morganella morganii in China

Identification and Full Characterisation of Two Novel Crustacean Infecting Members of the Family Nudiviridae Provides Support for Two Subfamilies

A Hopeful Sea-Monster: A Very Large Homologous Recombination Event Impacting the Core Genome of the Marine Pathogen Vibrio anguillarum

Influenza virus transcription and progeny production are poorly correlated in single cells

Extracellular vesicles are the main contributor to the non-viral protected extracellular sequence space


A Real-World Benchmark for Reinforcement Learning based Recommender System

Wide & Deep Learning for Recommender Systems

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System

Exploration and Regularization of the Latent Action Space in Recommendation


Description and pointers of laion datasets

LAION-5B: An open large-scale dataset for training next generation
  image-text models

DataComp: In search of the next generation of multimodal datasets


A curated list of resources on document similarity measures (papers, tutorials, code, ...)

Learning Fine-grained Image Similarity with Deep Ranking

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Content-Based Recommender Systems

Reliability quality measures for recommender systems

Using Crowdsourcing to Investigate Perception of Narrative Similarity

International Conference on Information and Knowledge Management

Evaluating the CC-IDF citation-weighting scheme: How effectively can ‘Inverse Document Frequency’ (IDF) be applied to references?

ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity


FDA: Fourier Domain Adaptation for Semantic Segmentation

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Unsupervised Domain Adaptation with Histogram-gated Image Translation for Delayered IC Image Analysis


The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems

Exploring Transfer Learning for Low Resource Emotional TTS

The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

Review of end-to-end speech synthesis technology based on deep learning

A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach

MASS: Multi-task Anthropomorphic Speech Synthesis Framework


Robust Unsupervised StyleGAN Image Restoration

Efficient Test-Time Adaptation for Super-Resolution with Second-Order
  Degradation and Reconstruction

Applicability limitations of differentiable full-reference image-quality metrics


Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Deep Clustering for Unsupervised Learning of Visual Features

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence

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

Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field

Long Range Graph Benchmark

SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning

River segmentation for flood monitoring

Zenodo (CERN European Organization for Nuclear Research)

hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform

ISPRS international journal of geo-information


Official PyTorch implementation of NICE-GAN:  Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Breaking the Dilemma of Medical Image-to-image Translation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data


EMNLP 2021 - Pre-training architectures for dense retrieval

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Condenser: a Pre-training Architecture for Dense Retrieval

A Neural Corpus Indexer for Document Retrieval

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware
  Transformer Reranking

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

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

Multi-stage Information Retrieval for Vietnamese Legal Texts


Locating and editing factual associations in GPT (NeurIPS 2022)

Locating and Editing Factual Associations in GPT

Editing Factual Knowledge in Language Models

Knowledge Neurons in Pretrained Transformers

Fast Model Editing at Scale

Does Localization Inform Editing? Surprising Differences in
  Causality-Based Localization vs. Knowledge Editing in Language Models

Can We Edit Factual Knowledge by In-Context Learning?

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value
  Adaptors

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language
  Models

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Can Hurt General Abilities of Large Language Models


This is a dataset for fake news detection research

Fake News Detection on Social Media: A Data Mining Perspective

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Fake News Early Detection: An Interdisciplinary Study

SAFE: Similarity-Aware Multi-Modal Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Discover Your Social Identity from What You Tweet: A Content Based Approach

NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of
  Misinformation in News Articles

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

International journal of data science and analytics

Sentiment Analysis for Fake News Detection

Combating disinformation in a social media age


In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes

IEEE transactions on circuits and systems for video technology


PointMamba: A Simple State Space Model for Point Cloud Analysis

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Masked Autoencoders for Point Cloud Self-supervised Learning

Mamba: Linear-Time Sequence Modeling with Selective State Spaces


[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Denoising Diffusion Restoration Models

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration

Unsupervised vocal dereverberation with diffusion-based generative
  models

Benchmarking the Fairness of Image Upsampling Methods


Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

TextMountain: Accurate Scene Text Detection via Instance Segmentation

Text Detection and Recognition in the Wild: A Review

Scene Text Detection in Natural Images: A Review

ロボティクス・メカトロニクス講演会講演概要集


Model-based design and verification for robotics.

Footstep Planning on Uneven Terrain with Mixed-Integer Convex Optimization

IEEE-RAS International Conference on Humanoid Robots

Some applications of polynomial optimization in operations research and real-time decision making

Finding and Optimizing Certified, Collision-Free Regions in
  Configuration Space for Robot Manipulators

Certified Polyhedral Decompositions of Collision-Free Configuration
  Space

The international journal of robotics research

Locosim: an Open-Source Cross-Platform Robotics Framework

Understanding URDF: A Dataset and Analysis


Purified Purine.

The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

Purine: A bi-graph based deep learning framework

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding
  Proteins


[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Temporal Attentive Alignment for Video Domain Adaptation

Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation


Small tools to assist wind energy simulations

The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs


A bottom-up traffic emission calculation tool developed at the Institute for Advanced Sustainability Studies in Potsdam and built in Python.


Label Rotated Rect On Images for training

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset

A Dual-Polarimetric SAR Ship Detection Dataset and a Memory-Augmented Autoencoder-Based Detection Method

UAV Imagery for Automatic Multi-Element Recognition and Detection of Road Traffic Elements

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Orientation aware weapons detection in visual data: a benchmark dataset

Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos

Lyric Video Analysis Using Text Detection and Tracking


Current Antarctic large iceberg positions derived from ASCAT and OSCAT-2


UNFCCC Emissions data from the Detailed Data By Party interface


R functions to work with air pollution data


R wrapper for National Grid Carbon Intensity API


Ontology-aware neural network (ONN) for microbial community sample source tracking!

Ontology-aware deep learning enables ultrafast and interpretable source tracking among sub-million microbial community samples from hundreds of niches

Ontology-Aware Deep Learning Enables Ultrafast, Accurate and Interpretable Source Tracking among Sub-Million Microbial Community Samples from Hundreds of Niches

Microbiome Sample Comparison and Search: From Pair-Wise Calculations to Model-Based Matching


Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.

GSPMD: General and Scalable Parallelization for ML Computation Graphs

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer


Swift Accel-Amplicon primer trimming tool for fast alignment-based primer trimming

The monoclonal antibody combination REGEN-COV protects against SARS-CoV-2 mutational escape in preclinical and human studies

SARS-CoV-2 ORF6 Disrupts Bidirectional Nucleocytoplasmic Transport through Interactions with Rae1 and Nup98

A direct capture method for purification and detection of viral nucleic acid enables epidemiological surveillance of SARS-CoV-2


Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives

International journal of biological sciences

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis


PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.

Conformance Checking over Uncertain Event Data

Efficient Construction of Behavior Graphs for Uncertain Event Data

Efficient Time and Space Representation of Uncertain Event Data

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data

An XES Extension for Uncertain Event Data


Fitting potential energy surface using monomial symmetrization approach

Automating the Development of High-Dimensional Reactive Potential Energy Surfaces with the robosurfer Program System

Journal of chemical theory and computation

q-AQUA: A Many-Body CCSD(T) Water Potential, Including Four-Body Interactions, Demonstrates the Quantum Nature of Water from Clusters to the Liquid Phase.

The journal of physical chemistry letters

Breaking the Coupled Cluster Barrier for Machine-Learned Potentials of Large Molecules: The Case of 15-Atom Acetylacetone

Correction: A Δ-machine learning approach for force fields, illustrated by a CCSD(T) 4-body correction to the MB-pol water potential

Quantum Calculations on a New CCSD(T) Machine-Learned Potential Energy Surface Reveal the Leaky Nature of Gas-Phase Trans and Gauche Ethanol Conformers

No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other
  Machine-Learned Potentials


bits of software for manipulating and analysing brain images in the nifti format

Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects

Longitudinal Network Changes and Conversion to Cognitive Impairment in Multiple Sclerosis

An examination of the relationships between attention/deficit hyperactivity disorder symptoms and functional connectivity over time

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Altered Functional Network Associated With Cognitive Performance in Early Parkinson Disease Measured by Eigenvector Centrality Mapping

Eigenvector centrality dynamics are related to Alzheimer’s disease pathological changes in non-demented individuals

Load-dependent inverted U–shaped connectivity of the default mode network in schizophrenia during a working-memory task: evidence from a replication functional MRI study

Journal of psychiatry & neuroscience : JPN

Eigenvector centrality and its variability over time are promising indicators of alterations in brain function due to early amyloid deposition

Alteration of functional connectivity network in population of objectively-defined subtle cognitive decline


First Practical and General-purpose Range Filter

bloomRF: On Performing Range-Queries in Bloom-Filters with
  Piecewise-Monotone Hash Functions and Prefix Hashing

bloomRF: On Performing Range-Queries with Bloom-Filters based on Piecewise-Monotone Hash Functions and Dyadic Trace-Trees.

b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches


Analysis of antibody NGS data

Commonality despite exceptional diversity in the baseline human antibody repertoire

Systems Biology Methods Applied to Blood and Tissue for a Comprehensive Analysis of Immune Response to Hepatitis B Vaccine in Adults

Recognition determinants of improved HIV-1 neutralization by a heavy chain matured pediatric antibody

B cell repertoire sequencing of HIV-1 pediatric elite-neutralizers identifies multiple broadly neutralizing antibody clonotypes

Antigen pressure from two founder viruses induces multiple insertions at a single antibody position to generate broadly neutralizing HIV antibodies


Data and scripts used in the oneKP capstone analyses

One thousand plant transcriptomes and the phylogenomics of green plants

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

Diploid-dominant life cycles characterize the early evolution of Fungi

A genome-scale phylogeny of Fungi; insights into early evolution, radiations, and the relationship between taxonomy and phylogeny

Compositional shifts associated with major evolutionary transitions in plants


Compute postmortem damage patterns and decontaminate ancient genomes

Reconstructing the Deep Population History of Central and South America

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

Genome of a middle Holocene hunter-gatherer from Wallacea

Ancient oral microbiomes support gradual Neolithic dietary shifts towards agriculture

Comparing Genetic and Physical Anthropological Analyses for the Biological Profile of Unidentified and Identified Bodies in Milan


Python wrappers for accessing Forest Observatory data via the Salo API


Reinforcement Learning Server

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments

The Springer series on challenges in machine learning


A Python tool to make interactive Corner Plots based on XSPEC MCMC chains saved to FITS files.

vKompth: a variable Comptonization model for low-frequency quasi-periodic oscillations in black hole X-ray binaries

Monthly notices of the Royal Astronomical Society

Dual-corona Comptonization model for the type-b quasi-periodic oscillations in GX 339-4

The X-ray corona in the black-hole binary GRO J1655--40 from the
  properties of non-harmonically related quasi-periodic oscillations


Python Package for Laser Speckle Contrast Imaging

Laser speckle contrast imaging in biomedical optics

Laser speckle contrast imaging: theoretical and practical limitations

Laser Speckle Contrast Imaging: Theory, Instrumentation and Applications

Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review

Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging


Inverse Rosenblatt Transform (Conditional Distribution) + MCMC sampling using Tensor Train approximation

Approximation and sampling of multivariate probability distributions in the tensor train decomposition

Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports

Foundations of computational mathematics

Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction

TTRISK: Tensor train decomposition algorithm for risk averse optimization


Evaluation on Logical Reasoning and Abstract Reasoning Challenges

Large Language Models Are Not Strong Abstract Reasoners

A Systematic Evaluation of Large Language Models on Out-of-Distribution
  Logical Reasoning Tasks


ACTIN is a Python program to calculate stellar activity indices

A low-mass planet candidate orbiting Proxima Centauri at a distance of 1.5 AU

Detection of Na, K, and Hαabsorption in the atmosphere of WASP-52b using ESPRESSO

Stellar chromospheric activity of 1674 FGK stars from the AMBRE-HARPS sample

ACTIN: A tool to calculate stellar activity indices

Decoding the radial velocity variations of HD 41248 with ESPRESSO

The GAPS Programme at TNG

Planets around evolved intermediate-mass stars - II. Are there really planets around IC 4651 No. 9122, NGC 2423 No. 3, and NGC 4349 No. 127?

The correlation between photometric variability and radial velocity jitter

HD 23472: a multi-planetary system with three super-Earths and two potential super-Mercuries,

Optimising the Hα index for the identification of activity
  signals in FGK stars. Improvement of the correlation between Hα and
  CaII H   K


One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)

Image-to-Image Translation with Conditional Adversarial Networks

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


snpless-nf - A Nextflow pipeline for time-course analysis with bacterial NGS whole-genome data.

Origins and geographic diversification of African rice (Oryza glaberrima)

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

GRIDSS2: comprehensive characterisation of somatic structural variation using single breakend variants and structural variant phasing


Color composite image creation, mostly following the Lupton, Wherry et al (2004) algorithm.

Space Warps – I. Crowdsourcing the discovery of gravitational lenses

Monthly Notices of the Royal Astronomical Society

Space Warps II. New Gravitational Lens Candidates from the CFHTLS
  Discovered through Citizen Science

LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

Testing convolutional neural networks for finding strong gravitational lenses in KiDS

Imaging extended emission-line regions of obscured AGN with the Subaru Hyper Suprime-Cam Survey

Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks


Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

An Attack on Facial Soft-biometric Privacy Enhancement


RNA Fusion Detection and Quantification

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

LongGF: computational algorithm and software tool for fast and accurate detection of gene fusions by long-read transcriptome sequencing

MEG3 Expression Indicates Lymph Node Metastasis and Presence of Cancer-Associated Fibroblasts in Papillary Thyroid Cancer


Cuckoo Filter: Practically Better Than Bloom

PROCEEDINGS OF THE 2014 CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES (CONEXT'14)

HyperLogLog in practice: algorithmic engineering of a state of the art cardinality estimation algorithm

International Conference on Extending Database Technology

Don't Thrash: How to Cache Your Hash on Flash

Probabilistic near-duplicate detection using simhash

International Conference on Information and Knowledge Management

Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams


A simulation of the true impact on climate and CO2 emissions of an electric car vs a traditional gasoline car, based on science.


Masks recombination as detected by ClonalFrameML or Gubbins and draws an SVG

The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

Staphylococcus aureus viewed from the perspective of 40,000+ genomes

Genotypic and Phenotypic Diversity of Staphylococcus aureus Isolates from Cystic Fibrosis Patient Lung Infections and Their Interactions with Pseudomonas aeruginosa

Whole-Genome-Sequence-Based Characterization of Extensively Drug-Resistant Acinetobacter baumannii Hospital Outbreak

Treponema pallidum genome sequencing from six continents reveals variability in vaccine candidate genes and dominance of Nichols clade strains in Madagascar

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

Genetic Determinants of Resistance to Extended-Spectrum Cephalosporin and Fluoroquinolone in Escherichia coli Isolated from Diseased Pigs in the United States

Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America

Metagenomic analysis of ancient dental calculus reveals unexplored diversity of oral archaeal Methanobrevibacter

Epidemiology of E. coli in Cystic Fibrosis Airways Demonstrates the Capacity for Persistent Infection but Not Patient-Patient Transmission


Research Object manager command line tool(s) and web service

Using a suite of ontologies for preserving workflow-centric research objects

Sciunits: Reusable Research Objects

The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web

Structuring research methods and data with the research object model: genomics workflows as a case study

Utilizing Provenance in Reusable Research Objects


A photometric redshift monstrosity

Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program
  Data Release 2

Galaxy-Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets

Augmenting machine learning photometric redshifts with Gaussian mixture models

Photometric redshift uncertainties in weak gravitational lensing shear analysis: models and marginalization

The outer stellar mass of massive galaxies: a simple tracer of halo mass with scatter comparable to richness and reduced projection effects

Reconstructing AGN X-ray spectral parameter distributions with Bayesian methods


encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA

Probing parity violation with the four-point correlation function of BOSS galaxies

Colliders and ghosts: Constraining inflation with the parity-odd galaxy four-point function

encore: an O (N-g(2)) estimator for galaxy N-point correlation functions

Efficient Computation of N-point Correlation Functions in D
  Dimensions

Analytic Gaussian covariance matrices for galaxy N-point correlation functions


Identification of Salmonella for public health surveillance using whole genome sequencing

MOST: A modified MLST typing tool based on short read sequencing

LiSEQ – whole-genome sequencing of a cross-sectional survey of Listeria monocytogenes in ready-to-eat foods and human clinical cases in Europe

The Transformation of Reference Microbiology Methods and Surveillance for Salmonella With the Use of Whole Genome Sequencing in England and Wales

Shiga toxin-producing Escherichia coli clonal complex 32, including serotype O145:H28, in the UK and Ireland

Evaluation of Genomic Typing Methods in the Salmonella Reference Laboratory in Public Health, England, 2012–2020


Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Findings of the Association for Computational Linguistics: EMNLP 2021

RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans


Positive-instance driven dynamic programming for treewidth

Benchmarking treewidth as a practical component of tensor network simulations

Solving Vertex Cover in Polynomial Time on Hyperbolic Random Graphs

A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth


Proximal Policy Optimization with TensorFlow and OpenAI Gym

Trust Region Policy Optimization

Emergence of Locomotion Behaviours in Rich Environments

Lifetime policy reuse and the importance of task capacity


Fair Generative Modeling via Weak Supervision

Don't Play Favorites: Minority Guidance for Diffusion Models

Training Unbiased Diffusion Models From Biased Dataset


Cooperative game level editor.

Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators

Co-Creative Level Design via Machine Learning

Explainability via Responsibility


How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?

Generative power of a protein language model trained on multiple sequence alignments

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

In vivo functional phenotypes from a computational epistatic model of evolution

bioRxiv : the preprint server for biology


Code Repository for "Please Mind the Root: Decoding Arborescences for Dependency Parsing" and "On Finding the K-best Non-projective Dependency Trees"

SynJax: Structured Probability Distributions for JAX


Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot

Tukey-Inspired Video Object Segmentation

Mobile Robot Manipulation using Pure Object Detection


Full Frame Fotometry from the Kepler Full Frame Images

Long-term Photometric Variability in Kepler Full-frame Images: Magnetic Cycles of Sun–like Stars

Orbital Period Variation of KIC 10544976: Applegate Mechanism versus Light Travel Time Effect

Long rotation period main-sequence stars from Kepler SAP light curves


BayesVL package for Bayesian statistical analyses in R

On how religions could accidentally incite lies and violence: Folktales as a cultural transmitter

Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research

Bayesian analysis for social data: A step-by-step protocol and interpretation

Exploration of Youth's Digital Competencies: A Dataset in the Educational Context of Vietnam

International Conference on Data Technologies and Applications

Determinants of Vietnamese footwear exporting firms’ market selection: A multinomial logistic analysis of panel data

When the Poor Buy the Rich: New Evidence on Wealth Effects of Cross-Border Acquisitions


Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0

International journal of molecular sciences

Characterization of SARS-CoV-2 viral diversity within and across hosts

Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

Proteins: Structure, Function, and Bioinformatics

SARS-CoV-2 membrane protein: from genomic data to structural new insights

Predicted 3D model of the M protein of Porcine Epidemic Diarrhea Virus and analysis of its immunogenic potential


neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to
  Street Views

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving


PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

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

Large-Scale Wasserstein Gradient Flows

Wasserstein Iterative Networks for Barycenter Estimation


WAND-PIC

Synergistic laser-wakefield and direct-laser acceleration in the plasma-bubble regime.

Far-field constant-gradient laser accelerator of electrons in an ion channel

Nonlinear plasma waves driven by short ultrarelativistic electron bunches

Laser-pulse and electron-bunch plasma wakefield accelerator

WAND-PIC: A three-dimensional quasi-static particle-in-cell code with parallel multigrid solver and without predictor-corrector


Load Monitoring and Energy Disaggregation on a RasPi


MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information


QTL Discovery using Annotations

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans

QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration


Robust, Realtime, On-Device License Plate Recognition Android

A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

International Joint Conference on Neural Network

LPRNet: License Plate Recognition via Deep Neural Networks

Vehicle and License Plate Recognition with Novel Dataset for Toll
  Collection


ASAP : Automated Single-cell Analysis Pipeline

ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data

ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Deep Learning in Single-Cell Analysis

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

Journal of translational genetics and genomics

Criteria for the Evaluation of Workflow Management Systems for Scientific Data Analysis

Journal of bioinformatics and systems biology


EgoTV Egocentric Task Verification from Natural Language Task Descriptions

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

AI2-THOR: An Interactive 3D Environment for Visual AI

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning


SNARE Dataset with MATCH and LaGOR models

Language Grounding with 3D Objects

Voxel-informed Language Grounding


Contrastive evaluation of pronoun translation in neural machine translation

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation

Document-level Neural MT: A Systematic Comparison

HAL (Le Centre pour la Communication Scientifique Directe)

Context in Neural Machine Translation: A Review of Models and Evaluations.

Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information.

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation

Meeting of the Association for Computational Linguistics

Exploring Paracrawl for Document-level Neural Machine Translation


This project is the Torch implementation of our  accepted CVPR 2019 paper,  Iterative Normalization: Beyond Standardization towards Efficient Whitening

Decorrelated Batch Normalization

Approximated Orthonormal Normalisation in Training Neural Networks


SV clustering

Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas

Author Correction: Patterns of somatic structural variation in human cancer genomes

African-specific prostate cancer molecular taxonomy

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences


DriverPower

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

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Decoding human cancer with whole genome sequencing: a review of PCAWG Project studies published in February 2020


Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)

Fast and Attributed Change Detection on Dynamic Graphs with Density of States

Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs


CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.

Explainable AI Methods - A Brief Overview

Finding and removing Clever Hans: Using explanation methods to debug and improve deep models

Software for Dataset-wide XAI: From Local Explanations to Global
  Insights with Zennit, CoRelAy, and ViRelAy


An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies

The mutational landscape of a prion-like domain

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies

The genetic landscape for amyloid beta fibril nucleation accurately discriminates familial Alzheimer’s disease mutations

Mutations primarily alter the inclusion of alternatively spliced exons

The energetic and allosteric landscape for KRAS inhibition

An atlas of amyloid aggregation: the impact of substitutions, insertions, deletions and truncations on amyloid beta fibril nucleation

Fitness landscape of a dynamic RNA structure


C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements.

Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet

SIGCOMM '20: PROCEEDINGS OF THE 2020 ANNUAL CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION ON THE APPLICATIONS, TECHNOLOGIES, ARCHITECTURES, AND PROTOCOLS FOR COMPUTER COMMUNICATION

Cellular Controlled Delay TCP (C2TCP)


RL Algorithms for Visual Continuous Control

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reinforcement Learning with Augmented Data

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Decoupling Representation Learning from Reinforcement Learning


Tensorflow2 reimplementation of image generation model (GAN, Style Transfer, Image to Image Translation, etc)

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

A Neural Algorithm of Artistic Style


JetSeT a framework for self-consistent modeling and fitting of  astrophysical relativistic jets

Multiwavelength study of the quiescent states of six brightest flat-spectrum radio quasars detected by Fermi-LAT

Multi-messenger characterization of Mrk501 during historically low X-ray and gamma-ray activity

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

Broadband modelling of Orphan gamma ray flares

Radio-γ-ray response in blazars as a signature of adiabatic blob expansion

Temporal and spectral study of PKS B1222+216 flares in 2014

Monthly notices of the Royal Astronomical Society

A model-driven search for extreme BL Lacs among Fermi-LAT blazar candidates.

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)


YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension

Empirical Methods in Natural Language Processing

YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos

Language Guided Networks for Cross-modal Moment Retrieval


Equinox is an open source platform that supports the holistic risk management of sustainable finance projects


SemEval-2021 Task 1: Lexical Complexity Prediction

CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data

cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora


Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D
  Segmentation


Code for the paper "Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering" (AAAI 2021)

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering

Are Visual-Linguistic Models Commonsense Knowledge Bases?

International Conference on Computational Linguistics


Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

α-deep Probabilistic Inference (α-DPI): Efficient Uncertainty Quantification from Exoplanet Astrometry to Black Hole Feature Extraction


Factorial Mass Univariate ERP Toolbox (FMUT)

Perceived Gaze Direction Differentially Affects Discrimination of Facial Emotion, Attention, and Gender – An ERP Study

The Neural Correlates of Conflict Detection and Resolution During Multiword Lexical Selection: Evidence from Bilinguals and Monolinguals

Impact of acute psychosocial stress on attentional control in humans. A study of evoked potentials and pupillary response


node2vec: Scalable Feature Learning for Networks

A Survey on Network Embedding

Network Representation Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

Representation Learning for Dynamic Graphs: A Survey

Graph Self-Supervised Learning: A Survey

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

Large-Scale Visual Relationship Understanding

Node Embedding over Temporal Graphs

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Name Disambiguation in Anonymized Graphs using Network Embedding


Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Deep Image Compression using Decoder Side Information

Neural Distributed Image Compression Using Common Information

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Lossy Compression of Noisy Data for Private and Data-Efficient Learning


Variational Disentanglement for Domain Generalization

MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

Domain Generalization with Adversarial Intensity Attack for Medical
  Image Segmentation

Contrastive Domain Disentanglement for Generalizable Medical Image
  Segmentation


Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Monthly Notices of the Royal Astronomical Society

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of computational and graphical statistics


Zero-Resource Speech Discovery, Search, and Evaluation Tools

The Zero Resource Speech Challenge 2015: Proposed Approaches and Results

Workshop on Spoken Language Technologies for Under-resourced Languages

Towards speech-to-text translation without speech recognition

Multilingual and unsupervised subword modeling for zero-resource languages

Multilingual bottleneck features for subword modeling in zero-resource languages

Topic Identification for Speech without ASR

Spoken Term Discovery for Language Documentation using Translations

Weakly supervised spoken term discovery using cross-lingual side information

Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages

Unsupervised Term Discovery for Continuous Sign Language


The implementation of "Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding"

Llama 2: Open Foundation and Fine-Tuned Chat Models

Beyond English-Centric Multilingual Machine Translation

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages


Levy distributions for Python

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics

Data-driven modeling of noise time series with convolutional generative adversarial networks.

OUTLIER-ROBUST KERNEL HIERARCHICAL-OPTIMIZATION RLS ON A BUDGET WITH AFFINE CONSTRAINTS

International Conference on Acoustics, Speech, and Signal Processing


Creative Commons Attribution 4.0 International

Data, metadata, and software tools for the COSORE database of continuous soil respiration measurements

COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data


RepEnrich2 is an updated method to estimate repetitive element enrichment using high-throughput sequencing data.

Expression dynamics of repetitive DNA in early human embryonic development

easyCLIP analysis of RNA-protein interactions incorporating absolute quantification

SETDB1 fuels the lung cancer phenotype by modulating epigenome, 3D genome organization and chromatin mechanical properties

A versatile mouse model of epitope-tagged histone H3.3 to study epigenome dynamics


Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Relation Extraction Using Distant Supervision: A Survey

Learning from Rules Generalizing Labeled Exemplars

A survey of noise reduction methods for distant supervision

Conference on Automated Knowledge Base Construction

A Brief Survey of Relation Extraction Based on Distant Supervision

Analysing the Noise Model Error for Realistic Noisy Label Data


Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Are we really making much progress? Revisiting, benchmarking, and
  refining heterogeneous graph neural networks

Homophily-oriented Heterogeneous Graph Rewiring

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Efficient Heterogeneous Graph Learning via Random Projection


This repository provides cytogenetics related datasets to investigate the semantic segmentation

A Geometric Approach For Fully Automatic Chromosome Segmentation

Image Segmentation to Distinguish Between Overlapping Human Chromosomes

Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation

Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation

Using Orientation to Distinguish Overlapping Chromosomes


Creativity Inspired Zero-Shot Learning

Creativity Inspired Zero-Shot Learning

CIZSL++: Creativity Inspired Generative Zero-Shot Learning

Graceful Degradation and Related Fields


SRAToolkit has been REPLACED - see README

A global reference for human genetic variation

Genomic introgression through interspecific hybridization counteracts genetic bottleneck during soybean domestication

Species classifier choice is a key consideration when analysing low-complexity food microbiome data

Maize transposable elements contribute to long non-coding RNAs that are regulatory hubs for abiotic stress response

LncFunNet: an integrated computational framework for identification of functional long noncoding RNAs in mouse skeletal muscle cells

11:40-11:50 Comparison of histone H3K4me3 between IVF and ICSI technologies and between boy and girl offspring

Alterations of the gut microbiota associated with the occurrence and progression of viral hepatitis

Frontiers in cellular and infection microbiology


Software framework for vision-based quadrotor multi-robot systems

A Reliable Open-Source System Architecture for the Fast Designing and Prototyping of Autonomous Multi-UAV Systems: Simulation and Experimentation

Journal of intelligent & robotic systems

A system for the design and development of vision-based multi-robot quadrotor swarms

International Conference on Unmanned Aircraft Systems

A Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition

A vision based aerial robot solution for the Mission 7 of the International Aerial Robotics Competition

Visual Quadrotor Swarm for the IMAV 2013 Indoor Competition

ROBOT2013: First Iberian Robotics Conference


HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

LM-VC: Zero-shot Voice Conversion via Speech Generation based on
  Language Models


Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More"

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

Hierarchical Randomized Smoothing


Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

Towards Evaluating the Robustness of Neural Networks

Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and
  Logos

Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks

Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook


Essential introductory materials to get into computational biology.

Ten Simple Rules for Reproducible Computational Research

Best Practices for Scientific Computing

Good Enough Practices in Scientific Computing

Gene name errors are widespread in the scientific literature

Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

Bioinformatics core competencies for undergraduate life sciences education

Ten quick tips for teaching programming

Truke, a web tool to check for and handle excel misidentified gene symbols


APA Regression Net - Predict and Engineer Alternative Polyadenylation

A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation

Alternative polyadenylation: methods, mechanism, function, and role in cancer

Journal of experimental & clinical cancer research : CR

A Two-Layered Targeting Mechanism Underlies Nuclear RNA Sorting by the Human Exosome

Fast activation maximization for molecular sequence design

SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Leveraging omic features with F3UTER enables identification of unannotated 3’UTRs for synaptic genes


Machine learning code for quantum dots

Machine learning techniques for state recognition and auto-tuning in quantum dots

Auto-tuning of double dot devices in situ with machine learning

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Toward Robust Autotuning of Noisy Quantum Dot Devices

Ray-based framework for state identification in quantum dot devices

Ray-based classification framework for high-dimensional data


[NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation

Visualizing the Loss Landscape of Neural Nets

Randomized Sharpness-Aware Training for Boosting Computational
  Efficiency in Deep Learning


RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering

Towards Amortized Ranking-Critical Training for Collaborative Filtering


OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open
  Resources

Focused Transformer: Contrastive Training for Context Scaling

Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Privacy-Preserving In-Context Learning for Large Language Models

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

DeepSeekMoE: Towards Ultimate Expert Specialization in
  Mixture-of-Experts Language Models

LLM360: Towards Fully Transparent Open-Source LLMs

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Cabrita: closing the gap for foreign languages

Data-Juicer: A One-Stop Data Processing System for Large Language Models


AUTOTYP data export

Language Structures May Adapt to the Sociolinguistic Environment, but It Matters What and How You Count: A Typological Study of Verbal and Nominal Complexity

Exploring correlations in genetic and cultural variation across language families in Northeast Asia

Detecting structured repetition in child-surrounding speech: Evidence from maximally diverse languages

The ACQDIV Corpus Database and Aggregation Pipeline

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

IMTVault: Extracting and Enriching Low-resource Language Interlinear Glossed Text from Grammatical Descriptions and Typological Survey Articles

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task


Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

What do you learn from context? Probing for sentence structure in contextualized word representations

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

Improving Relation Extraction by Pre-trained Language Representations


Twissandra is an example project, created to learn and demonstrate how to use Cassandra. Running the project will present a website that has similar functionality to Twitter.

Incremental Consistency Guarantees for Replicated Objects

MonkeyDB: effectively testing correctness under weak isolation levels

Proceedings of the ACM on programming languages

MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels


Various functions for analysis of microbial community data

Expanding known viral diversity in the healthy infant gut

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

Viral diversity is linked to bacterial community composition in alpine stream biofilms

Evaluation of DNA extraction methods and direct PCR in metabarcoding of mock and marine bacterial communities