A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Conditional Image Synthesis With Auxiliary Classifier GANs

Skip-Thought Vectors

TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network.


2018 Data Science Bowl 2nd Place Solution

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

A deep learning framework for nucleus segmentation using image style transfer

Robust Nucleus Detection With Partially Labeled Exemplars


Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

Graph-based Molecular Representation Learning

Hierarchical Molecular Graph Self-Supervised Learning for property prediction


Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.

Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation

IEEE transactions on aerospace and electronic systems

Multiple Target Tracking Based on Sets of Trajectories

A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms

Trajectory PHD and CPHD Filters

Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories

Gaussian implementation of the multi-Bernoulli mixture filter

Poisson Multi-Bernoulli Mixtures for Sets of Trajectories

Continuous-Discrete Multiple Target Tracking With Out-of-Sequence Measurements

Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories

A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth


Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

Neural Natural Language Processing for unstructured data in electronic health records: A review

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

A scoping review on multimodal deep learning in biomedical images and texts

Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering


MiME Repository

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data


Paper list for single object tracking (State-of-the-art SOT trackers)

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search

Learning Spatial-Frequency Transformer for Visual Object Tracking

Event Stream-based Visual Object Tracking: A High-Resolution Benchmark
  Dataset and A Novel Baseline


AFL/QEMU fuzzing with full-system emulation.

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

Fuzzing Hardware Like Software

EVMFuzz: Differential fuzz testing of Ethereum virtual machine

From Library Portability to Para-rehosting: Natively Executing Microcontroller Software on Commodity Hardware

Proceedings 2021 Network and Distributed System Security Symposium

FIRM-COV: High-Coverage Greybox Fuzzing for IoT Firmware via Optimized Process Emulation

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

Conference on Computer and Communications Security

Automatically Locating ARM Instructions Deviation between Real Devices and CPU Emulators

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph


Temporal-Relational CrossTransformers (CVPR 2021)

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Few-shot Action Recognition via Intra- and Inter-Video Information
  Maximization


Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

Shake-Shake regularization

Between-class Learning for Image Classification

Shakedrop Regularization for Deep Residual Learning

Memory-Efficient Implementation of DenseNets

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

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

Deep Networks from the Principle of Rate Reduction

Aerial Image Object Detection With Vision Transformer Detector (ViTDet)

Transfer learning with weak labels from radiology reports: application to glioma change detection


A Library for fast Hash Tables on GPUs

WarpCore: A Library for fast Hash Tables on GPUs


(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay


Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.

Overcoming Data Limitation in Medical Visual Question Answering

Medical Visual Question Answering via Conditional Reasoning

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

Does CLIP Benefit Visual Question Answering in the Medical Domain as
  Much as it Does in the General Domain?

PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

Findings of the Association for Computational Linguistics: EACL 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health
  Records with Chest X-ray Images

Multimodal Prompt Retrieval for Generative Visual Question Answering


Age Progression/Regression by Conditional Adversarial Autoencoder

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer

International journal of computer vision

A3GAN: An Attribute-aware Attentive Generative Adversarial Network for
  Face Aging

Personalized and Occupational-aware Age Progression by Generative Adversarial Networks.

Enhancing Facial Data Diversity with Style-based Face Aging

PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery

Receptors of Cell–Matrix Mass Transfer


Deep learning models for remote sensing applications

ViTs for SITS: Vision Transformers for Satellite Image Time Series

Context-Self Contrastive Pretraining for Crop Type Semantic Segmentation

Embedding Earth: Self-supervised contrastive pre-training for dense land
  cover classification

Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium


[ICCV 2021 Oral] Deep Evidential Action Recognition

Evidential Deep Learning to Quantify Classification Uncertainty

Learning De-biased Representations with Biased Representations

Evidential Deep Learning for Open Set Action Recognition


the code for WaveCNet

Wavelet Integrated CNNs for Noise-Robust Image Classification

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

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

Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks


Pytorch code for the Fromage optimiser.

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Large Batch Training of Convolutional Networks

On the distance between two neural networks and the stability of learning

KOALA: A Kalman Optimization Algorithm with Loss Adaptivity


[CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

Deep Hough Voting for 3D Object Detection in Point Clouds

Compact Generalized Non-local Network

Indoor Semantic Scene Understanding using Multi-modality Fusion


SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

Zenodo (CERN European Organization for Nuclear Research)

Ensembling Graph Predictions for AMR Parsing

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing

Hierarchical Curriculum Learning for AMR Parsing

AMR-DA: Data Augmentation by Abstract Meaning Representation

Findings of the Association for Computational Linguistics: ACL 2022

Multilingual AMR Parsing with Noisy Knowledge Distillation

SPRING Goes Online: End-to-End AMR Parsing and Generation

Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models

Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)

Multilingual Abstract Meaning Representation for Celtic Languages

AMR-TST: Abstract Meaning Representation-based Text Style Transfer

Findings of the Association for Computational Linguistics: ACL 2023


Implementation of f-AnoGAN with PyTorch

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets

Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Accurate and Robust Feature Importance Estimation under Distribution Shifts

Analyzing Explainer Robustness via Lipschitzness of Prediction Functions

Boundary-Aware Uncertainty for Feature Attribution Explainers


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

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A Survey on Neural Speech Synthesis

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

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

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

Expressive Text-to-Speech using Style Tag

Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis

OverFlow: Putting flows on top of neural transducers for better TTS


a short-read polishing tool for long-read assemblies

Polypolish: Short-read polishing of long-read bacterial genome assemblies

How low can you go? Short-read polishing of Oxford Nanopore bacterial genome assemblies


The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

An Evaluation of Change Point Detection Algorithms

Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation

Memory-free Online Change-point Detection: A Novel Neural Network
  Approach


Holistic Evaluation of Language Models

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

Evaluating Neural Language Models as Cognitive Models of Language Acquisition


Automated Scalable Bayesian Inference

Coresets for Scalable Bayesian Logistic Regression

Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent

Automated Scalable Bayesian Inference via Hilbert Coresets

Introduction to Core-sets: an Updated Survey

Continuous Regularized Wasserstein Barycenters

Sparse Variational Inference: Bayesian Coresets from Scratch

Assembly of a Coreset of Earth Observation Images on a Small Quantum Computer

Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings


Learning Latent Dynamics for Planning from Pixels

PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning


RNN based Time-series Anomaly detector model implemented in Pytorch.

Deep Learning for Anomaly Detection: A Survey

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

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

Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems

IEEE transactions on industrial informatics

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals


Graph Auto-Encoder in PyTorch

Variational Graph Auto-Encoders

GenCAT: Generating Attributed Graphs with Controlled Relationships
  between Classes, Attributes, and Topology

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks

Link Prediction without Graph Neural Networks

DINE: Dimensional Interpretability of Node Embeddings


Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection

IEEE transactions on geoscience and remote sensing

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images


A Tensorflow implementation of RetinexNet

Deep Retinex Decomposition for Low-Light Enhancement

UG 2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.

A Novel DenseNet Generative Adversarial Network for Heterogenous Low-Light Image Enhancement


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey


An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Unbiased Teacher for Semi-Supervised Object Detection


Quick scripts to calculate CLIP text-image similarity

Learning Transferable Visual Models From Natural Language Supervision

Image Content Generation with Causal Reasoning


:bread: 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Boundary Loss for Remote Sensing Imagery Semantic Segmentation

Hard Pixel Mining for Depth Privileged Semantic Segmentation


Pytorch implementation of  Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Empirical Methods in Natural Language Processing

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask

On Generating Fact-Infused Question Variations

Recent Advances in Natural Language Processing


Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning


Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

XLM-T: A Multilingual Language Model Toolkit for Twitter.

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and
  Side-Information for Multi-Level Sexism Classification

Automated Sentiment and Hate Speech Analysis of Facebook Data by
  Employing Multilingual Transformer Models

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


An instruction-based benchmark for text improvements.

KILT: a Benchmark for Knowledge Intensive Language Tasks

Instruction Tuning for Large Language Models: A Survey

EditEval: An Instruction-Based Benchmark for Text Improvements

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting


A concise but complete implementation of CLIP with various experimental improvements from recent papers

FILIP: Fine-grained Interactive Language-Image Pre-Training

Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm

Scaling Language-Image Pre-training via Masking

Decoupled Contrastive Learning


Generative Adversarial Text-to-Image Synthesis

Generative Adversarial Text to Image Synthesis

Generating Multiple Objects at Spatially Distinct Locations

ChatPainter: Improving Text to Image Generation using Dialogue

Adversarial Learning of Semantic Relevance in Text to Image Synthesis

Correct block-design experiments mitigate temporal correlation bias in EEG classification


Universal Sentence Encoder

BioWordVec, improving biomedical word embeddings with subword information and MeSH

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

MedSTS: A Resource for Clinical Semantic Textual Similarity

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

Generalized Zero-shot ICD Coding

Word embedding mining for SARS-CoV-2 and COVID-19 drug repurposing


Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning

Target-Guided Structured Attention Network for Target-Dependent Sentiment Analysis

Transactions of the Association for Computational Linguistics


Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Coarse-to-Fine Q-attention with Learned Path Ranking

Coarse-to-fine Q-attention with Tree Expansion


An implementation of Grad-CAM with keras

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

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

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

Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor


Creative Commons Attribution 4.0 International

Mobility changes in response to COVID-19, provided by Descartes Labs

Mobility Changes in Response to COVID-19

Impact of temperature and relative humidity on the transmission of COVID-19: a modelling study in China and the United States

The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

Inter-Series Attention Model for COVID-19 Forecasting

The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control

medRxiv : the preprint server for health sciences

Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

Change of human mobility during COVID-19: A United States case study

Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review

Residential racial segregation and social distancing in the United States during COVID-19

Longitudinal and spatial analysis of Americans’ travel distances following COVID-19

Transportation research. Part D, Transport and environment


The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

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


An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Towards Unified Deep Image Deraining: A Survey and A New Benchmark


A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

DKN: Deep Knowledge-Aware Network for News Recommendation

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

User Response Prediction in Online Advertising

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy

PerCoNet: News Recommendation with Explicit Persona and Contrastive
  Learning


Lifelong Learning with Dynamically Expandable Networks, ICLR 2018

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Bayesian Structure Adaptation for Continual Learning

TAME: Task Agnostic Continual Learning using Multiple Experts


The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events

One Model is Not Enough: Ensembles for Isolated Sign Language Recognition

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

Boosting Adversarial Transferability using Dynamic Cues

Performance Evaluation of Action Recognition Models on Low Quality Videos

Audio Visual Scene-Aware Dialog Generation with Transformer-based Video
  Representations

Modeling movie-evoked human brain activity using motion-energy and space-time vision transformer features


CoLight: Learning Network-level Cooperation for Traffic Signal Control

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

Aspect-based Sentiment Analysis with Opinion Tree Generation

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

Large-Scale Traffic Signal Control Using Constrained Network Partition
  and Adaptive Deep Reinforcement Learning


A Corpus for Multilingual Document Classification in Eight Languages.

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Robust Cross-lingual Embeddings from Parallel Sentences

RigoBERTa: A State-of-the-Art Language Model For Spanish

EMS: Efficient and Effective Massively Multilingual Sentence
  Representation Learning


[ICLR 2020] A repository for extremely fast adversarial training using FGSM

Cyclical Learning Rates for Training Neural Networks

Adversarial Training for Free!

Fast is better than free: Revisiting adversarial training

On Evaluating Adversarial Robustness

Bag of Tricks for Adversarial Training

Boosting Adversarial Training with Hypersphere Embedding

Transferring Adversarial Robustness Through Robust Representation Matching

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training

Efficient Adversarial Training With Data Pruning


Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

ConVEx: Data-Efficient and Few-Shot Slot Labeling


OpenRISC 1200 implementation

Customized Routing Optimization Based on Gradient Boost Regressor Model

Non Uniform On Chip Power Delivery Network Synthesis Methodology

A Security-Aware and LUT-Based CAD Flow for the Physical Synthesis of hASICs

Timing Aware Dummy Metal Fill Methodology.

Machine Learning Based Fast Power Integrity Classifier

A Machine Learning Framework for Register Placement Optimization in Digital Circuit Design


Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

Small-GAN: Speeding Up GAN Training Using Core-sets

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme


A simple and effective method for single-class classification of images

Deep Anomaly Detection Using Geometric Transformations

Uncertainty-Aware Deep Classifiers using Generative Models

Robust Subspace Recovery Layer for Unsupervised Anomaly Detection

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision
  for Unsupervised Anomaly Detection is Creating the Illusion of Success


(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

Transfer Learning with Deep Tabular Models

Towards Cross-Table Masked Pretraining for Web Data Mining

A Performance-Driven Benchmark for Feature Selection in Tabular Deep
  Learning

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science


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

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI

Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields

3-D Surface Segmentation Meets Conditional Random Fields.


Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere".

Understanding Contrastive Representation Learning through Geometry on the Hypersphere

Hard Negative Mixing for Contrastive Learning

COCO-DR: Combating Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

Contrastive Attraction and Contrastive Repulsion for Representation Learning

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning


Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020

Object Counting and Instance Segmentation with Image-level Supervision

Towards Partial Supervision for Generic Object Counting in Natural Scenes

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery


An MDN Layer for Keras using TensorFlow's distributions module

Generating Sequences With Recurrent Neural Networks

A Neural Representation of Sketch Drawings

Real-Time Prediction of Delay Distribution in Service Systems using
  Mixture Density Networks

Mixture Models for Photometric Redshifts

Toward Constraining Mars' Thermal Evolution Using Machine Learning

Marginally calibrated response distributions for end-to-end learning in autonomous driving


A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Conference on Computer and Communications Security

Time-Series Anomaly Detection Service at Microsoft

Identifying impactful service system problems via log analysis

Correlating events with time series for incident diagnosis

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Sage: Practical and Scalable ML-Driven Performance Debugging in Microservices

Architectural Support for Programming Languages and Operating Systems

Predicting Node failure in cloud service systems

An Empirical Investigation of Incident Triage for Online Service Systems

International Conference on Software Engineering

Continuous Incident Triage for Large-Scale Online Service Systems

International Conference on Automated Software Engineering

Outage Prediction and Diagnosis for Cloud Service Systems

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)


MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Generative Adversarial Networks

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

Predicting the Non-Deterministic Response of a Micro-Scale Mechanical Model Using Generative Adversarial Networks

Serial Decoders-Based Auto-Encoders for Image Reconstruction


Scalable Global Optimization via Local Bayesian Optimization

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

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

High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Bayesian Optimization with a Prior for the Optimum

Tree-Structured Parzen Estimator: Understanding Its Algorithm Components
  and Their Roles for Better Empirical Performance

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

Cautious Bayesian Optimization for Efficient and Scalable Policy Search

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient


This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Hierarchically Regularized Deep Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series
  Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective


syntactically controlled paraphrase networks

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Towards a Robust Deep Neural Network in Texts: A Survey

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs

GCPG: A General Framework for Controllable Paraphrase Generation

Findings of the Association for Computational Linguistics: ACL 2022

Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data

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

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations

Identifying Adversarial Sentences by Analyzing Text Complexity

Perceptual Models of Machine-Edited Text

Meeting of the Association for Computational Linguistics


Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Learning explanations that are hard to vary

Neuro-algorithmic Policies enable Fast Combinatorial Generalization


Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection

Deep Hough-Transform Line Priors

A Comprehensive Review of Image Line Segment Detection and Description:
  Taxonomies, Comparisons, and Challenges


This repository contains the source code of MdidNet : A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

Rethinking Recurrent Latent Variable Model for Music Composition

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


[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Simplified Graph Learning for Inductive Short Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

International Conference on Computational Linguistics

State of the Art and Potentialities of Graph-level Learning

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network


HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.

TWC-Net: A SAR Ship Detection Using Two-Way Convolution and Multiscale Feature Mapping

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework

Improved Ship Detection Algorithm from Satellite Images Using YOLOv7 and Graph Neural Network

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

An improved anchor-free SAR ship detection algorithm based on brain-inspired attention mechanism


PyTorch Implementation of DARTS: Differentiable Architecture Search

NAS evaluation is frustratingly hard

Meta-Learning of Neural Architectures for Few-Shot Learning

Deeper Insights into Weight Sharing in Neural Architecture Search


What's Hidden in a Randomly Weighted Neural Network?

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

Hidden-Fold Networks: Random Recurrent Residuals Using Sparse Supermasks

Randomly Initialized Subnetworks with Iterative Weight Recycling


Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems

Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings


Graph convolutional neural network for multirelational link prediction

Deep Learning on Graphs: A Survey

Modeling polypharmacy side effects with graph convolutional networks

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level


Benchmarking and Visualization Tool for Adversarial Machine Learning

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction

Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples

Saliency Attack: Towards Imperceptible Black-box Adversarial Attack

Effective Universal Unrestricted Adversarial Attacks using a MOE Approach

On the Security of Randomized Defenses Against Adversarial Samples


A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

Auto-Encoding Variational Bayes

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Autoencoding beyond pixels using a learned similarity metric


PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Fully Convolutional Networks for Semantic Segmentation

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Structured Output Learning with Conditional Generative Flows

Deep learning fetal ultrasound video model match human observers in biometric measurements

Priming Neural Networks

Plugin Networks for Inference under Partial Evidence


Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

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

Compact Graph Structure Learning via Mutual Information Compression

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks

A Comparative Study on Robust Graph Neural Networks to Structural Noises


A dataset containing synchronized visual, inertial and GNSS raw measurements.

GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and
  Consistent State Estimation

InGVIO: A Consistent Invariant Filter for Fast and High-Accuracy GNSS-Visual-Inertial Odometry

A Tightly Coupled Visual-Inertial GNSS State Estimator Based on Point-Line Feature


What Does BERT Look At? An Analysis of BERT's Attention

Emergent linguistic structure in artificial neural networks trained by self-supervision

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

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Analyzing Feed-Forward Blocks in Transformers through the Lens of
  Attention Map


A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Deep Learning on Graphs: A Survey

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling


(CVPR 2021 Oral) LETR: Line Segment Detection Using Transformers without Edges

HEAT: Holistic Edge Attention Transformer for Structured Reconstruction

A Comprehensive Review of Image Line Segment Detection and Description:
  Taxonomies, Comparisons, and Challenges


Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline

Dissecting order amidst chaos of programmed cell deaths: construction of a diagnostic model for KIRC using transcriptomic information in blood-derived exosomes and single-cell multi-omics data in tumor microenvironment


Toolkit for vision-guided quadrupedal locomotion research

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers

Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization

Human-AI Shared Control via Policy Dissection


[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

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


A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Gated Graph Sequence Neural Networks

Toward Efficient Interactions between Python and Native Libraries

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Expressive Graph Informer Networks

Graph Informer Networks for Molecules.

Holistic Prediction on a Time-Evolving Attributed Graph


Automatic gradient descent

Feature Learning in Infinite-Width Neural Networks

On the distance between two neural networks and the stability of learning

Automatic Gradient Descent: Deep Learning without Hyperparameters

Optimisation & Generalisation in Networks of Neurons


3D face swapping implemented in Python

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

FSGAN: Subject Agnostic Face Swapping and Reenactment

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

Noiseprint: a CNN-based camera model fingerprint

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

IEEE transactions on pattern analysis and machine intelligence

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

DeepFake Detection by Analyzing Convolutional Traces

Video Face Manipulation Detection Through Ensemble of CNNs

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward


Differentiable Learning of Logical Rules for Knowledge Base Reasoning

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Learn to Explain Efficiently via Neural Logic Inductive Learning

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Knowledge Graph Reasoning with Relational Directed Graph

An original model for multi-target learning of logical rules for
  knowledge graph reasoning

DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning


TenforFlow Implementation of Neural Factorization Machine

Neural Factorization Machines for Sparse Predictive Analytics

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

User Response Prediction in Online Advertising

Deep Multi-Representation Model for Click-Through Rate Prediction


Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows

MoGlow: Probabilistic and controllable motion synthesis using normalising flows

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

Integrated Speech and Gesture Synthesis

International Conference on Multimodal Interfaces

Robust model training and generalisation with Studentising flows


Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

PaLM: Scaling Language Modeling with Pathways

CoCa: Contrastive Captioners are Image-Text Foundation Models

Scaling Language-Image Pre-training via Masking


A prize winning solution for DFDC challenge

Deepfake detection by human crowds, machines, and machine-informed crowds

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision
  Transformer for Face Forgery Detection

Deepfake Videos in the Wild: Analysis and Detection

High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction

DefakeHop++: An Enhanced Lightweight Deepfake Detector

Assessment Framework for Deepfake Detection in Real-world Situations

On the Generalization of Deep Learning Models in Video Deepfake Detection

Investigation of ensemble methods for the detection of deepfake face
  manipulations

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers


Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.

Onsets and Frames: Dual-Objective Piano Transcription

On the Potential of Simple Framewise Approaches to Piano Transcription


Erasing Concepts from Diffusion Models

Erasing Concepts from Diffusion Models

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and
  Erasing Applications

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning
  for Diffusion Models


[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection


SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic
  Segmentation

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox
  Based on PyTorch


A tensorflow reproducing of paper “Editing Text in the wild”

Synthetic Data for Text Localisation in Natural Images

Editing Text in the Wild

EnsNet: Ensconce Text in the Wild

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of
  Text Contents and Styles

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image

Towards Scene-Text to Scene-Text Translation


Measuring the Intrinsic Dimension of Objective Landscapes

DRIVE: One-bit Distributed Mean Estimation

Communication-Efficient Federated Learning via Robust Distributed Mean Estimation


This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

Graph Neural Network for Traffic Forecasting: A Survey

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

IEEE transactions on intelligent transportation systems

A Comprehensive Survey on Traffic Prediction.

Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency


Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Measuring Robustness to Natural Distribution Shifts in Image Classification

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Consistency Regularization for Certified Robustness of Smoothed Classifiers

Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates

On the Certified Robustness for Ensemble Models and Beyond

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Data-Dependent Randomized Smoothing

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local
  Smoothing

Adversarially Trained Models with Test-Time Covariate Shift Adaptation.


Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Network pruning via resource reallocation


code for Holistically-Nested Edge Detection

Holistically-Nested Edge Detection

Spatial Aggregation of Holistically-Nested Convolutional Neural Networks
  for Automated Pancreas Localization and Segmentation

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation

Fractal Dimension Invariant Filtering and Its CNN-based Implementation


SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)

Structure Aware Single-Stage 3D Object Detection From Point Cloud

CenterNet3D: An Anchor Free Object Detector for Point Cloud

Accurate 3D Object Detection using Energy-Based Models


Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)

THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

Knowledge Graph Representation with Jointly Structural and Textual Encoding

Accurate Text-Enhanced Knowledge Graph Representation Learning

North American Chapter of the Association for Computational Linguistics

Text-Graph Enhanced Knowledge Graph Representation Learning


Vision Transformer (ViT) in PyTorch

Attention Is All You Need

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

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

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

ADBench: Anomaly Detection Benchmark

Overinterpretation reveals image classification model pathologies

What do Vision Transformers Learn? A Visual Exploration

Hybrid Transformer Network for Deepfake Detection

Efficient neural codes naturally emerge through gradient descent learning

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations


Nightly release of ControlNet 1.1

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
  Diffusion Models

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained
  Diffusion Models and Monocular Depth Estimators

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object
  with Gaussian Splatting


Genetic Algorithm Package for Python

An exponentially more efficient optimization algorithm for noisy quantum computers

What can we Learn by Predicting Accuracy?

WRF model parameter calibration to improve the prediction of tropical cyclones over the Bay of Bengal using Machine Learning-based Multiobjective Optimization.

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment

Rapid design of fully soft deployable structures via kirigami cuts and
  active learning


Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes

Learning Effective Binary Visual Representations with Deep Networks


A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

The Geometry of Deep Generative Image Models and its Applications

This dataset does not exist: training models from generated images

Further Analysis of Outlier Detection with Deep Generative Models

KDEformer: Accelerating Transformers via Kernel Density Estimation

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs

FairyTailor: A Multimodal Generative Framework for Storytelling

Feasibility of Inconspicuous GAN-generated Adversarial Patches against
  Object Detection

Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent

Generator Surgery for Compressed Sensing

Transfer Learning with Pre-trained Conditional Generative Models


Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Getting to Know Low-light Images with The Exclusively Dark Dataset

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Research on Improved YOLOv5 for Low-Light Environment Object Detection

Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments


Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Exposure: A White-Box Photo Post-Processing Framework

Conditional Sequential Modulation for Efficient Global Image Retouching

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation

Controllable Image Enhancement


Sentiment Analysis with Ensemble

Self-Taught Convolutional Neural Networks for Short Text Clustering

Neural networks : the official journal of the International Neural Network Society

Self-Adaptive Hierarchical Sentence Model

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

Neural information retrieval: at the end of the early years

Neural Information Retrieval: A Literature Review

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification

Derivative Manipulation for General Example Weighting

Deep Markov Neural Network for Sequential Data Classification

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2


TruthfulQA: Measuring How Models Imitate Human Falsehoods

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Holistic Evaluation of Language Models

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

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Aligning Large Language Models through Synthetic Feedback

Proving Test Set Contamination in Black Box Language Models

OLMo: Accelerating the Science of Language Models

Honesty Is the Best Policy: Defining and Mitigating AI Deception

Personas as a Way to Model Truthfulness in Language Models

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment


CNNs for sentence classification

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Word Embeddings and Their Use In Sentence Classification Tasks

An Attention-Gated Convolutional Neural Network for Sentence Classification

Dynamic Self-Attention : Computing Attention over Words Dynamically for
  Sentence Embedding

Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

On the Downstream Performance of Compressed Word Embeddings

Domain Adaptation for Resume Classification Using Convolutional Neural Networks


Code and information for face image quality assessment with SER-FIQ

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition

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

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

On human motion prediction using recurrent neural networks

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

Deep Learning for Vision-based Prediction: A Survey

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention


OBBDetection is an oriented object detection library, which is based on MMdetection.

Oriented R-CNN for Object Detection

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

An Empirical Study of Remote Sensing Pretraining

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Fewer is more: efficient object detection in large aerial images


Python client for retrieving the latest data on the EU ETS market and its participants


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

Red-Teaming the Stable Diffusion Safety Filter

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter


Neural Graph Collaborative Filtering, SIGIR2019

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Neural Graph Collaborative Filtering

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

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Sequential Recommendation via Stochastic Self-Attention

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

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

Proceedings of the 17th ACM Conference on Recommender Systems


Repository for the paper "Automating App Review Response Generation"

On the Replicability and Reproducibility of Deep Learning in Software Engineering

App-Aware Response Synthesis for User Reviews


A high-performance library for computing Lorentzian spin foam amplitudes.

A high-performance code for EPRL spin foam amplitudes

How-to Compute EPRL Spin Foam Amplitudes

Numerical evaluation of spin foam amplitudes beyond simplices

Radiative corrections to the Lorentzian Engle-Pereira-Rovelli-Livine spin foam propagator


Absorption Line Fitter

The stellar metallicities of massive quiescent galaxies at 1.0 < z < 1.3 from KMOS+VANDELS

The Assembly History of M87 through Radial Variations in Chemical Abundances of Its Field Star and Globular Cluster Populations


Repository associated with Clus-DoC clustering and degree of colocalization analysis

Atypical sideways recognition of CD1a by autoreactive γδ T cell receptors

Binding partners regulate unfolding of myosin VI to activate the molecular motor

A Targeted and Tuneable DNA Damage Tool Using CRISPR/Cas9

Autophagy receptor NDP52 alters DNA conformation to modulate RNA Polymerase II transcription


Neural Thompson Sampling

Online Limited Memory Neural-Linear Bandits with Likelihood Matching

Efficient Online Bayesian Inference for Neural Bandits


Miscellaneous functions for analysis of species association and niche overlap

Protistan-Bacterial Microbiota Exhibit Stronger Species Sorting and Greater Network Connectivity Offshore than Nearshore across a Coast-to-Basin Continuum

From the Sunlit to the Aphotic Zone: Assembly Mechanisms and Co-Occurrence Patterns of Protistan-Bacterial Microbiotas in the Western Pacific Ocean

Diet drives the gut microbiome composition and assembly processes in winter migratory birds in the Poyang Lake wetland, China

Herbivore camping reshapes the taxonomy, function and network of pasture soil microbial communities

Establishment of an invasive snail Melanoides tuberculata (Müller, 1774) in a Sahelian urban reservoir in Ouagadougou, Burkina Faso

A phylogenetic approach identifies patterns of beta diversity and floristic subregions of the Qinghai-Tibet Plateau


Massively parallel hybrid particle-field molecular dynamics (hPF-MD) simulation method in Julia

Hybrid particle‐field molecular dynamics simulations: Parallelization and benchmarks

Combination of Hybrid Particle-Field Molecular Dynamics and Slip-Springs for the Efficient Simulation of Coarse-Grained Polymer Models: Static and Dynamic Properties of Polystyrene Melts

Journal of chemical theory and computation

Atomistic hybrid particle‐field molecular dynamics combined with slip‐springs: Restoring entangled dynamics to simulations of polymer melts

Hamiltonian and Alias-Free Hybrid Particle-Field Molecular Dynamics


Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

Chromatic periodic activity down to 120 MHz in a Fast Radio Burst

Fourier domain excision of periodic radio frequency interference

pinta: The uGMRT data processing pipeline for the Indian Pulsar Timing Array

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

High precision measurements of interstellar dispersion measure with the upgraded GMRT

Nanohertz gravitational wave astronomy during SKA era: An InPTA perspective

Magnetar XTE J1810–197: Spectro-temporal Evolution of Average Radio Emission

PSR J0437-4715: The Argentine Institute of Radioastronomy 2019–2020 Observational Campaign


Collection of layers that can perform arithmetic operations

Neural Arithmetic Logic Units

iNALU: Improved Neural Arithmetic Logic Unit

Neural Power Units


XReason - formal reasoning about explanations for ML models

Abduction-Based Explanations for Machine Learning Models

On Validating, Repairing and Refining Heuristic ML Explanations

Using MaxSAT for Efficient Explanations of Tree Ensembles

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Computing Abductive Explanations for Boosted Trees


Amun is a framework that achieves privacy-preserving process mining using differential privacy.

Mine Me but Don't Single Me Out: Differentially Private Event Logs for
  Process Mining

Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining.

Differentially Private Release of Event Logs for Process Mining


Viral genome reference alignment

Emergence and phenotypic characterization of the global SARS-CoV-2 C.1.2 lineage

Predominance of the SARS-CoV-2 Lineage P.1 and Its Sublineage P.1.2 in Patients from the Metropolitan Region of Porto Alegre, Southern Brazil in March 2021

Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus

medRxiv : the preprint server for health sciences

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

Postvaccination SARS-COV-2 among Health Care Workers in New Jersey: A Genomic Epidemiological Study

Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020-2021

Efficacy of primary series AZD1222 (ChAdOx1 nCoV-19) vaccination against SARS-CoV-2 variants of concern: Final analysis of a randomized, placebo-controlled, phase 1b/2 study in South African adults (COV005)


GLAD: Learning Sparse Graph Recovery

Learning to Learn Graph Topologies

GLAD: Learning Sparse Graph Recovery

Methods for Recovering Conditional Independence Graphs: A Survey


Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis

An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization


Fast algorithms for complementary low-rank matrices, e.g. Fourier integral operators (FIOs) for wave equations and a class of imaging methods, a class of transforms for harmonic analysis and special functions.

Butterfly Factorization

Interpolative Butterfly Factorization

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces

Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization

Multidimensional phase recovery and interpolative decomposition butterfly factorization


An unofficial personal implementation of UM-Adapt, specifically to tackle joint estimation of panoptic segmentation and depth prediction for autonomous driving datasets.

Deeper Depth Prediction with Fully Convolutional Residual Networks

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

From big to small: Multi-scale local planar guidance for monocular depth estimation

UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation


ExBLAS: fast, accurate, and reproducible BLAS

Multiple-Precision BLAS Library for Graphics Processing Units

Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments

White Paper from the Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods


This repository contains code to generate standardized cell type nomenclature from an R "dendrogram".

Comparative cellular analysis of motor cortex in human, marmoset and mouse

Common cell type nomenclature for the mammalian brain


A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.

CHAOS I: Direct Chemical Abundances for HII Regions in NGC 628

CARBON AND OXYGEN ABUNDANCES IN LOW METALLICITY DWARF GALAXIES

Monthly Notices of the Royal Astronomical Society - Galaxy And Mass Assembly (GAMA): The mechanisms for quiescent galaxy formation at z < 1

Disentangling the physical parameters of gaseous nebulae and galaxies

Monthly notices of the Royal Astronomical Society

Testing the modern merger hypothesis via the assembly of massive blue elliptical galaxies in the local Universe

THE METAL ABUNDANCES ACROSS COSMIC TIME (MACT) SURVEY. I. OPTICAL SPECTROSCOPY IN THE SUBARU DEEP FIELD

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

Direct Method Gas Phase Oxygen Abundances of 4 Lyman Break Analogs


Bag of Tricks for Graph Neural Networks.

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

Random Features Strengthen Graph Neural Networks

Robust Optimization as Data Augmentation for Large-scale Graphs

Edge Proposal Sets for Link Prediction


Use cloud radiative kernels to compute cloud-induced radiation anomalies

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth

Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5

Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels

Insights from a refined decomposition of cloud feedbacks

An Analysis of the Short-Term Cloud Feedback Using MODIS Data


A SEmantic Modeling machIne to build Knowledge Graphs with Graph Neural Networks

Modeling Relational Data with Graph Convolutional Networks

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models

International Conference on Data Technologies and Applications

An Open-Source Knowledge Graph Ecosystem for the Life Sciences


What goes up must come down again.


World Models with TensorFlow 2

World Models

Latent Representation Prediction Networks


SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

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

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks

Hashing-Accelerated Graph Neural Networks for Link Prediction

Link Prediction through Deep Generative Model

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search.

Adversarial Permutation Guided Node Representations for Link Prediction

Assessment of community efforts to advance network-based prediction of protein–protein interactions


Long term rotation period finding tool for NASA's TESS mission

Systematics-insensitive Periodogram for Finding Periods in TESS Observations of Long-period Rotators

HD 207897 b: A dense sub-Neptune transiting a nearby and bright K-type star

A close-in giant planet escapes engulfment by its star

TESS discovery of a super-Earth orbiting the M-dwarf star TOI-1680

Giant Outer Transiting Exoplanet Mass (GOT 'EM) Survey. III. Recovery and Confirmation of a Temperate, Mildly Eccentric, Single-transit Jupiter Orbiting TOI-2010


Domain based annotation of transposable elements

Chloranthus genome provides insights into the early diversification of angiosperms

Assembly of the 81.6 Mb centromere of pea chromosome 6 elucidates the structure and evolution of metapolycentric chromosomes

African Arowana Genome Provides Insights on Ancient Teleost Evolution

Holocentromeres can consist of merely a few megabase-sized satellite arrays


Comostional question answering

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

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks


Machine Learning applied to Cosmological Simulations

Machine learning and cosmological simulations – II. Hydrodynamical simulations

Machine Learning and Cosmological Simulations I: Semi-Analytical Models

Approximations to galaxy star formation rate histories: properties and uses of two examples


transposable element typing pipeline

TETyper: a bioinformatic pipeline for classifying variation and genetic contexts of transposable elements from short-read whole-genome sequencing data

Complexity of Genomic Epidemiology of Carbapenem-Resistant Klebsiella pneumoniae Isolates in Colombia Urges the Reinforcement of Whole Genome Sequencing-Based Surveillance Programs


[STACOM-MICCAI 2019] Deep Learning Registration for Cardiac Motion Tracking

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

Arbitrary Order Total Variation for Deformable Image Registration


An R package for generating comparative regional association plots

Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation

RACER: A data visualization strategy for exploring multiple genetic associations


Co-evolution of agents and environments in GVG-AI

General Video Game AI: A Multitrack Framework for Evaluating Agents, Games, and Content Generation Algorithms

Neuroevolution in Games: State of the Art and Open Challenges

Procedural Content Generation through Quality Diversity

IEEE computational intelligence magazine

Co-generation of game levels and game-playing agents


R package for fitting joint models to time-to-event and longitudinal data

Nonlinear association structures in flexible Bayesian additive joint models

Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Investigation of 2-stage meta-analysis methods for joint longitudinal and time-to-event data through simulation and real data application

merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models

Handling missingness value on jointly measured time-course and time-to-event data

Communications in statistics. Simulation and computation


Ensemble binning strategies for combining the output of multiple binning methods.

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Three families of Asgard archaeal viruses identified in metagenome-assembled genomes

Effects of laboratory domestication on the rodent gut microbiome


This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified set of first and second order marginal moments of a data tensor, which makes it well equipped to test for the null hypothesis that a structure in data is an epiphenomenon of these specified set of primary features of the data tensor. The random surrogate data are sampled from a maximum entropy distribution. This distribution unlike traditional maximum entropy method have constraints on the marginal first and second moments of the tensor mode.

Structure in neural population recordings: an expected byproduct of simpler phenomena?

Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis

Network dynamics underlying OFF responses in the auditory cortex


Gene-specific patterns of expression variation across organs and species

Damage-responsive elements in Drosophila regeneration

Evolution of Gene Expression across Species and Specialized Zooids in Siphonophora


Ten Quick Tips for Staying Safe Online

Cybersecurity in healthcare: A narrative review of trends, threats and ways forward

Security Fatigue

Technology-Facilitated Intimate Partner Abuse: a qualitative analysis of data from online domestic abuse forums

Closing the Climategate

Design and Development of Case Studies in Security and Privacy for Health Informatics Education

ACS/IEEE International Conference on Computer Systems and Applications


Frustratingly Simple Few-Shot Object Detection

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


Multi-Resolution Filtering: a method for isolating faint, extended emission in Dragonfly data and other low resolution images

Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey

The Dragonfly Wide Field Survey. I. Telescope, Survey Design, and Data Characterization

An Abstraction of Multi-port Memories with Arbitrary Addressable Units

Publications of the Astronomical Society of the Pacific

A Method to Characterize the Wide-angle Point-Spread Function of Astronomical Images

Stellar Halos from the The Dragonfly Edge-on Galaxies Survey

Reaching for the Edge I: probing the outskirts of massive galaxies with HSC, DECaLS, SDSS, and Dragonfly

The Dragonfly Wide Field Survey. II. Accurate Total Luminosities and Colors of Nearby Massive Galaxies and Implications for the Galaxy Stellar-mass Function


Microsoft COCO: Common Objects in Context

The Pascal Visual Object Classes Challenge: A Retrospective

International journal of computer vision

Vision meets robotics: The KITTI dataset

The international journal of robotics research

A Discriminative Feature Learning Approach for Deep Face Recognition

Attribute2Image: Conditional Image Generation from Visual Attributes


Phylogenetic Analysis of Long Terminal Repeat Retrotransposons

MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

BEDTools: a flexible suite of utilities for comparing genomic features

jModelTest 2: more models, new heuristics and parallel computing

The Pfam protein families database: towards a more sustainable future

Repbase Update, a database of repetitive elements in eukaryotic genomes

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

The Dfam database of repetitive DNA families

The Gypsy Database (GyDB) of mobile genetic elements: release 2.0

GenomeTools: A Comprehensive Software Library for Efficient Processing of Structured Genome Annotations

IEEE/ACM transactions on computational biology and bioinformatics

LTR Retrotransposons Show Low Levels of Unequal Recombination and High Rates of Intraelement Gene Conversion in Large Plant Genomes


RNA-seq, QC and differential analysis pipeline

Attenuation of clinical and immunological outcomes during SARS‐CoV‐2 infection by ivermectin

Mitochondrial Fission Process 1 controls inner membrane integrity and protects against heart failure

Investigating the role of the carbon storage regulator A (CsrA) in Leptospira spp.

Overexpression of Eimeria tenella Rhoptry Kinase 2 Induces Early Production of Schizonts

Deciphering the Role of PIG1 and DHN-Melanin in Scedosporium apiospermum Conidia

Mitochondrial fission process 1 (MTFP1) controls bioenergetic efficiency and prevents inflammatory cardiomyopathy and heart failure in mice


Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"

Towards a Robust Deep Neural Network in Texts: A Survey

Meeting of the Association for Computational Linguistics

A Study of Morphological Robustness of Neural Machine Translation

Special Interest Group on Computational Morphology and Phonology Workshop


PET Unified Pipeline

Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease

Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies

Cross-sectional and longitudinal atrophy is preferentially associated with tau rather than amyloid β positron emission tomography pathology

Alzheimer's & dementia. Diagnosis, assessment & disease monitoring

Quantitative Amyloid Imaging in Autosomal Dominant Alzheimer’s Disease: Results from the DIAN Study Group

Quantitative Amyloid Imaging Using Image-Derived Arterial Input Function

Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease

Lack of association between acute stroke, post-stroke dementia, race, and β-amyloid status

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

Regional amyloid accumulation predicts memory decline in initially cognitively unimpaired individuals

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)


Compositional Falsification of Cyber-Physical Systems with Machine Learning Components

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Semantic Adversarial Deep Learning

Counterexample-Guided Data Augmentation


Supplementary material for paper "SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula"

PyOD: A Python Toolbox for Scalable Outlier Detection

Music Artist Classification with Convolutional Recurrent Neural Networks

SYNC: A Copula based Framework for Generating Synthetic Data from
  Aggregated Sources

SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula.


Centroid RNA package

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery


Joint Source-Target Self Attention with Locality Constraints

Towards Mitigating Gender Bias in a decoder-based Neural Machine Translation model by Adding Contextual Information

Proceedings of the The Fourth Widening Natural Language Processing Workshop

What they do when in doubt: a study of inductive biases in seq2seq learners


IGRINS pipeline package v3

ZODIACAL EXOPLANETS IN TIME (ZEIT). III. A SHORT-PERIOD PLANET ORBITING A PRE-MAIN-SEQUENCE STAR IN THE UPPER SCORPIUS OB ASSOCIATION

ZODIACAL EXOPLANETS IN TIME (ZEIT). I. A NEPTUNE-SIZED PLANET ORBITING AN M4.5 DWARF IN THE HYADES STAR CLUSTER

ZODIACAL EXOPLANETS IN TIME (ZEIT). IV. SEVEN TRANSITING PLANETS IN THE PRAESEPE CLUSTER

A CANDIDATE YOUNG MASSIVE PLANET IN ORBIT AROUND THE CLASSICAL T TAURI STAR CI TAU

A solar C/O and sub-solar metallicity in a hot Jupiter atmosphere

Zodiacal Exoplanets in Time (ZEIT). VI. A Three-planet System in the Hyades Cluster Including an Earth-sized Planet

Magnetic Inflation and Stellar Mass. II. On the Radii of Single, Rapidly Rotating, Fully Convective M-Dwarf Stars

PLANETS AROUND LOW-MASS STARS (PALMS). VI. DISCOVERY OF A REMARKABLY RED PLANETARY-MASS COMPANION TO THE AB DOR MOVING GROUP CANDIDATE 2MASS J22362452+4751425

Zodiacal exoplanets in time (ZEIT) - II. A 'super-Earth' orbiting a young K dwarf in the Pleiades Neighbourhood

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


Code for Gaussian Score Matching Variational Inference

Automatic Differentiation Variational Inference

Pathfinder: Parallel quasi-Newton variational inference

Variational Inference with Gaussian Score Matching

Batch and match: black-box variational inference with a score-based divergence


An R package for analysis of curve data with phase and amplitude variation

Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement

Simultaneous Registration and Clustering for Multidimensional Functional Data

Model-based curve registration via stochastic approximation EM algorithm

Most Likely Separation of Intensity and Warping Effects in Image Registration


Adversarial Examples on KNN (and its neural network friends)

On the Robustness of Deep K-Nearest Neighbors

Defending Against Adversarial Examples with K-Nearest Neighbor

Minimum-Norm Adversarial Examples on KNN and KNN-Based Models

Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams


Multi-Template Mouse Brain MRI Atlas (MBMA): both in-vivo and ex-vivo

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

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

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs

When Do Transformers Shine in RL? Decoupling Memory from Credit
  Assignment

Distributionally Adaptive Meta Reinforcement Learning


Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

Differentiable Data Augmentation for Contrastive Sentence Representation Learning

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example


A stand-alone version of Dehnen's GalaxyPotential code.

The mass distribution and gravitational potential of the Milky Way

Monthly Notices of the Royal Astronomical Society

A dynamically young and perturbed Milky Way disk

Stellar Streams Discovered in the Dark Energy Survey

The Sixth Data Release of the Radial Velocity Experiment (Rave). II. Stellar Atmospheric Parameters, Chemical Abundances, and Distances

Discovery of a Gamma-Ray Black Widow Pulsar by GPU-accelerated Einstein@Home

Tree-ring structure of Galactic bar resonance

Monthly notices of the Royal Astronomical Society

The Third Fermi Large Area Telescope Catalog of Gamma-Ray Pulsars

The dynamics of Galactic centre pulsars: constraining pulsar distances and intrinsic spin-down

The MSPSRπ catalogue: VLBA astrometry of 18 millisecond pulsars

The local rotation curve of the Milky Way based on SEGUE and RAVE data


Freehand ultrasound without external trackers

Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames


An R package for open-channel hydraulics


Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", by Juan L Gamella and Christina Heinze-Deml.

Active Invariant Causal Prediction: Experiment Selection through Stability

Learning Neural Causal Models with Active Interventions

Automated causal inference in application to randomized controlled clinical trials

Towards IID representation learning and its application on biomedical
  data


Hints for a Turnover at the Snow Line in the Giant Planet Occurrence Rate

The Exoplanet Population Observation Simulator. I. The Inner Edges of Planetary Systems

The Exoplanet Population Observation Simulator. II -- Population Synthesis in the Era of Kepler

The Impact of Stripped Cores on the Frequency of Earth-size Planets in the Habitable Zone

Earths in Other Solar Systems N-body simulations: the Role of Orbital Damping in Reproducing the Kepler Planetary Systems

The Demographics of Kepler's Earths and Super-Earths into the Habitable Zone

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry


A decentralized learning research framework

Decentralized Learning Made Easy with DecentralizePy

Proceedings of the 3rd Workshop on Machine Learning and Systems

Get More for Less in Decentralized Learning Systems

Epidemic Learning: Boosting Decentralized Learning with Randomized
  Communication


personal toolbox for lidc-idri dataset / lung cancer / nodule

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention

Lung Nodule Segmentation and Uncertain Region Prediction with an
  Uncertainty-Aware Attention Mechanism


Creative Commons Attribution Share Alike 4.0 International

[EACL'23] MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Incorporating External Knowledge through Pre-training for Natural Language to Code Generation

Deep Learning Based Code Generation Methods: A Literature Review


[IJCV 2021] Python implementation of deblatting

Intra-Frame Object Tracking by Deblatting

International Conference on Computer Vision

Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects

Tracking by Deblatting


Population genetics analyses

Genomic Investigation of the Strawberry Pathogen Phytophthora fragariae Indicates Pathogenicity Is Associated With Transcriptional Variation in Three Key Races

Quantitative Trait Loci Controlling Phytophthora cactorum Resistance in the Cultivated Octoploid Strawberry (Fragaria x ananassa)

Epistatic modifiers influence the expression of continual flowering in strawberry

Identification of powdery mildew resistance QTL in Fragaria x ananassa


Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).

Quaternion Generative Adversarial Networks

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders


Witwicky: An implementation of Transformer in PyTorch.

Overcoming a Theoretical Limitation of Self-Attention

Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation

Syntax-Based Attention Masking for Neural Machine Translation

North American Chapter of the Association for Computational Linguistics


An open-source tool for  automatic speech recognition ASR quality estimation.

Analyzing Learned Representations of a Deep ASR Performance Prediction Model

Automatic Quality Assessment for Speech Translation Using Joint ASR and MT Features.


Mutual information estimators and benchmark

Beyond Normal: On the Evaluation of Mutual Information Estimators

MINDE: Mutual Information Neural Diffusion Estimation


Natural Language for Optimization Modelling

Augmenting Operations Research with Auto-Formulation of Optimization
  Models from Problem Descriptions

NL4Opt Competition: Formulating Optimization Problems Based on Their
  Natural Language Descriptions

Highlighting Named Entities in Input for Auto-Formulation of
  Optimization Problems


Entity resolution using zero labeled examples

ZeroER: Entity Resolution using Zero Labeled Examples

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

Ground Truth Inference for Weakly Supervised Entity Matching

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based
  Matching Algorithms


Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning
  from Observations

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning

CEIL: Generalized Contextual Imitation Learning

A Strong Baseline for Batch Imitation Learning


The hourly demand and supply of electricity in the US


SOTA Math Opensource LLM

Solving Quantitative Reasoning Problems with Language Models

Qwen Technical Report

Implicit Chain of Thought Reasoning via Knowledge Distillation

reStructured Pre-training


[EMNLP 2022] Summarization as Indirect Supervision for Relation Extraction (SuRE)

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors


MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

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

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark


Development version of vioplot R package (CRAN maintainer)

SambaR: an R package for fast, easy and reproducible population-genetic analyses of biallelic SNP datasets

A global ecological signal of extinction risk in terrestrial vertebrates

Conservation biology : the journal of the Society for Conservation Biology

Ten more years of discovery: revisiting the quality of the sauropodomorph dinosaur fossil record

Intracellular Localization in Zebrafish Muscle and Conserved Sequence Features Suggest Roles for Gelatinase A Moonlighting in Sarcomere Maintenance

A co‐development approach to conservation leads to informed habitat design and rapid establishment of amphibian communities

Shared Numerosity Representations Across Formats and Tasks Revealed with 7 Tesla fMRI: Decoding, Generalization, and Individual Differences in Behavior

Optical and biogeochemical properties of diverse Belgian inland and coastal waters

Disease-associated DNA2 nuclease–helicase protects cells from lethal chromosome under-replication

The revised reference genome of the leopard gecko (Eublepharis macularius) provides insight into the considerations of genome phasing and assembly

bioRxiv : the preprint server for biology

Negligible Quantities of Particulate Low-Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River


NABERT model for solving the DROP dataset

Neural Module Networks for Reasoning over Text

A Simple and Effective Model for Answering Multi-span Questions

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

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

Benefits of Intermediate Annotations in Reading Comprehension

Comprehensive Multi-Dataset Evaluation of Reading Comprehension

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning

Activity report analysis with automatic single or multispan answer
  extraction


Evaluation metrics to compare AMR graphs based on Smatch

An Incremental Parser for Abstract Meaning Representation

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

Ensembling Graph Predictions for AMR Parsing

Hierarchical Curriculum Learning for AMR Parsing

基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)

China National Conference on Chinese Computational Linguistics


A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Understanding deep learning requires rethinking generalization

BLOCKBENCH: A Framework for Analyzing Private Blockchains

A similarity measure for indefinite rankings

ACM transactions on office information systems

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Does Learning Require Memorization? A Short Tale about a Long Tail

The U.S. Census Bureau Adopts Differential Privacy

Privacy-preserving statistical estimation with optimal convergence rates

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

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

Controlling Fairness and Bias in Dynamic Learning-to-Rank

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

Information Leakage in Embedding Models


Arabic nested named entity recognition

Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT

Arabic Fine-Grained Entity Recognition

AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition

UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition


Scripts to import your FeatureCounts output into DEXSeq

Transcriptome profiling of mouse brains with qkI-deficient oligodendrocytes reveals major alternative splicing defects including self-splicing

Identification of Early-Onset Metastasis in SF3B1 Mutated Uveal Melanoma

Utilizing the codon adaptation index to evaluate the susceptibility to HIV-1 and SARS-CoV-2 related coronaviruses in possible target cells in humans

Frontiers in cellular and infection microbiology

Genetic diversity, tissue-specific expression, and functional analysis of the ATP7A gene in sheep


Prediction of binding residues for metal ions, nucleic acids, and small molecules.

Protein embeddings and deep learning predict binding residues for various ligand classes

Evolutionary couplings and sequence variation effect predict protein binding sites

Proteins: Structure, Function, and Bioinformatics

Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications

International journal of molecular sciences


Active Subspace Data Sets

Active Manifolds: A non-linear analogue to Active Subspaces

Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces

Proceedings in applied mathematics and mechanics

A local approach to parameter space reduction for regression and
  classification tasks


Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics


ECCV 2022: Learning to Weight Samples for Dynamic Early-exiting Networks

Multi-Scale Dense Networks for Resource Efficient Image Classification

Resolution Adaptive Networks for Efficient Inference


TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning

Text Rendering Strategies for Pixel Language Models


A Python package for learning, evaluating, annotating, and extracting vector representations of construction grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology

Juana Isabel Marín Arrese Gerda Haßler Marta Carretero: Evidentiality revisited: Cognitive grammar, functional and discourse-pragmatic perspectives

Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar

Multi-unit association measures: Moving beyond pairs of words

Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction

Exposure and emergence in usage-based grammar: computational experiments in 35 languages

Exploring the Constructicon: Linguistic Analysis of a Computational CxG


Facenet implementation by Keras2

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No

FoggySight: A Scheme for Facial Lookup Privacy

Bias, awareness, and ignorance in deep-learning-based face recognition

Biometric Performance as a Function of Gallery Size

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale “In The Wild” Face Verification

DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering

International journal of machine learning and cybernetics

An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments

Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments


Few-shot learning framework for opinion summarization published at EMNLP 2020.

Few-Shot Learning for Opinion Summarization

Exploring Multitask Learning for Low-Resource AbstractiveSummarization

Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization


COT-GAN: Generating Sequential Data via Causal Optimal Transport

Time-series Generation by Contrastive Imitation

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks


Set of datasets for the deep learning recommendation model (DLRM).

Understanding data storage and ingestion for large-scale deep recommendation model training

Proceedings of the 49th Annual International Symposium on Computer Architecture

AutoShard: Automated Embedding Table Sharding for Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems

Pre-train and Search: Efficient Embedding Table Sharding with
  Pre-trained Neural Cost Models

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in
  Recommendation Networks


A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).

Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact

Marine Heatwaves Characteristics in the Barents Sea Based on High Resolution Satellite Data (1982–2020)

Marine Heatwaves in Siberian Arctic Seas and Adjacent Region

Oceanic mesoscale eddies as crucial drivers of global marine heatwaves


Explaining Answers with Entailment Trees

Generating Natural Language Proofs with Verifier-Guided Search