Citation Impact
Citing Papers
Autoencoding beyond pixels using a learned similarity metric
2016
Unsupervised Model Selection for Variational Disentangled Representation Learning
2020
Sampling Generative Networks: Notes on a Few Effective Techniques.
2016
A framework for the quantitative evaluation of disentangled representations
2018
Action-conditional video prediction using deep networks in Atari games
2015
Semantic Image Synthesis via Adversarial Learning
2017
Continual lifelong learning with neural networks: A review
2019 Standout
Graph neural networks: A review of methods and applications
2020 Standout
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
2019
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
2019
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
AI in health and medicine
2022 Standout
Generative adversarial network in medical imaging: A review
2019
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
An Introduction to Variational Autoencoders
2019 Standout
Software agents: an overview
1996 Standout
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
2019 Standout
CKD: Cross-Task Knowledge Distillation for Text-to-Image Synthesis
2019
Unveiling the predictive power of static structure in glassy systems
2020 StandoutNobel
Lensless computational imaging through deep learning
2017 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Generative Adversarial Networks: An Overview
2018 Standout
Over-the-Air Deep Learning Based Radio Signal Classification
2018 Standout
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
2018 Standout
Deep Joint Source-Channel Coding for Wireless Image Transmission
2019 Standout
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
2020 Standout
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Research on prediction model of geotechnical parameters based on BP neural network
2018 Standout
Knowledge Distillation: A Survey
2021 Standout
Sensor networks: Evolution, opportunities, and challenges
2003 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Artificial intelligence for precision education in radiology
2019 Standout
A person centered work psychology: changing paradigms by broadening horizons
1996 Standout
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
An Introduction to Deep Learning for the Physical Layer
2017 Standout
Deep Facial Expression Recognition: A Survey
2020
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
2016
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Functionally Accurate, Cooperative Distributed Systems
1981
Deep Reinforcement Learning: A Brief Survey
2017 Standout
An Organizational View of Distributed Systems
1981
Interaction Networks for Learning about Objects, Relations and Physics
2016
Object Detection in 20 Years: A Survey
2023 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Deep Learning Enabled Semantic Communication Systems
2021 Standout
The interdisciplinary study of coordination
1994 Standout
A Utility-Aware General Framework With Quantifiable Privacy Preservation for Destination Prediction in LBSs
2021
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A Lite Distributed Semantic Communication System for Internet of Things
2020 Standout
Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios
2019 Standout
Deep Learning in Physical Layer Communications
2019 Standout
Model-Driven Deep Learning for Physical Layer Communications
2019 Standout
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Robust Person Re-Identification by Modelling Feature Uncertainty
2019
Weakly Supervised Cascaded Convolutional Networks
2017
Works of Scott Reed being referenced
TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING
2015
Deep visual analogy-making
2015
Neural Programmer-Interpreters
2016
Learning to Disentangle Factors of Variation with Manifold Interaction
2014
Quantifying and simulating the behavior of knowledge-based interpretation systems
1980
Learning What and Where to Draw
2016
Neural Arithmetic Logic Units
2018