Citation Impact
Citing Papers
Wasserstein Generative Adversarial Networks
2017 Standout
KDGAN: Knowledge Distillation with Generative Adversarial Networks
2018
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
2014
Mutual Information Neural Estimation.
2018
Indian Buffet Neural Networks for Continual Learning
2019
Continual lifelong learning with neural networks: A review
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Text Data Augmentation for Deep Learning
2021 Standout
Neural Basis of Video Gaming: A Systematic Review
2017
AI in health and medicine
2022 Standout
If deep learning is the answer, what is the question?
2020
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Artificial intelligence in drug development: present status and future prospects
2018 Standout
The rise of deep learning in drug discovery
2018
Defining roles of specific reactive oxygen species (ROS) in cell biology and physiology
2022 Standout
Applications of machine learning in drug discovery and development
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
High-performance brain-to-text communication via handwriting
2021 Nature
An Introduction to Variational Autoencoders
2019 Standout
Continual Learning Using Bayesian Neural Networks
2020
Emerging Properties in Self-Supervised Vision Transformers
2021 Standout
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
2022 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Inverting the Generator of a Generative Adversarial Network
2018
Generative Model for the Inverse Design of Metasurfaces
2018 Standout
On the Effectiveness of Least Squares Generative Adversarial Networks
2018
Generative Adversarial Networks: An Overview
2018 Standout
Genetically Encoded Tools for Research of Cell Signaling and Metabolism under Brain Hypoxia
2020
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
Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
2021 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Deep unsupervised learning using nonequilibrium thermodynamics
2024
Knowledge Distillation: A Survey
2021 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
How Generative Adversarial Networks and Their Variants Work
2019
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
2018
Toward Causal Representation Learning
2021
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
2021 Standout
An Introduction to Deep Learning for the Physical Layer
2017 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Image Super-Resolution Via Iterative Refinement
2022
Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges
2019
Physics-informed machine learning
2021 Standout
A Critical Review of Recurrent Neural Networks for Sequence Learning
2015 Standout
The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors
2019 Standout
Learning to Continuously Optimize Wireless Resource in Episodically Dynamic Environment
2021
Deep Learning Enabled Semantic Communication Systems
2021 Standout
Designing neural networks through neuroevolution
2018
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
Attention mechanisms in computer vision: A survey
2022 Standout
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
High-Resolution Image Synthesis with Latent Diffusion Models
2022 Standout
Works of Ben Poole being referenced
What Makes for Good Views for Contrastive Learning
2020
Weakly Supervised Disentanglement with Guarantees
2020
Exponential expressivity in deep neural networks through transient chaos
2016
Score-Based Generative Modeling through Stochastic Differential Equations
2021
Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis
2011
Neuronal Dynamics Regulating Brain and Behavioral State Transitions
2019
Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping
2019
Continual Learning Through Synaptic Intelligence.
2017
Unrolled Generative Adversarial Networks
2016
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
2013