Shao-Hua Sun
Shao-Hua Sun
Assistant Professor at National Taiwan University in Electrical Engineering
Verified email at - Homepage
Cited by
Cited by
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
R Vuorio, SH Sun, H Hu, JJ Lim
Neural Information Processing Systems (NeurIPS) 2019, 2019
Multi-view to Novel View: Synthesizing Novel Views with Self-Learned Confidence
SH Sun, M Huh, YH Liao, N Zhang, JJ Lim
European Conference on Computer Vision (ECCV) 2018, 2018
Exploiting image structural similarity for single image rain removal
SH Sun, SP Fan, YCF Wang
IEEE International Conference on Image Processing (ICIP) 2014, 2014
Neural Program Synthesis from Diverse Demonstration Videos
SH Sun, H Noh, S Somasundaram, J Lim
International Conference on Machine Learning (ICML) 2018, 2018
Composing Complex Skills by Learning Transition Policies
Y Lee, SH Sun, S Somasundaram, E Hu, JJ Lim
International Conference on Learning Representations (ICLR) 2019, 2018
Program guided agent
SH Sun, TL Wu, JJ Lim
International Conference on Learning Representations (ICLR) 2020, 2019
Toward multimodal model-agnostic meta-learning
R Vuorio, SH Sun, H Hu, JJ Lim
Meta-learning Workshop at Neural Information Processing Systems (NeurIPS) 2018, 2018
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
M Huh, SH Sun, N Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2019
Learning to Synthesize Programs as Interpretable and Generalizable Policies
D Trivedi, J Zhang, SH Sun, JJ Lim
Neural Information Processing Systems (NeurIPS) 2021, 2021
Skill-based Meta-Reinforcement Learning
T Nam, SH Sun, K Pertsch, SJ Hwang13, JJ Lim
International Conference on Learning Representations (ICLR) 2022, 2022
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Y Lee, A Szot, SH Sun, JJ Lim
Neural Information Processing Systems (NeurIPS) 2021, 2021
Multi-digit MNIST for Few-shot Learning
SH Sun
URL https://github. com/shaohua0116/MultiDigitMNIST, 2019
Behavioral clusters revealed by end-to-end decoding from microendoscopic imaging
CJ Chang, W Guo, J Zhang, J Newman, SH Sun, M Wilson
bioRxiv, 2021.04. 15.440055, 2021
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
GT Liu, EP Hu, PJ Cheng, HY Lee, SH Sun
arXiv preprint arXiv:2301.12950, 2023
Feedback adversarial learning
JM Huh, SH Sun, N Zhang
US Patent 11,429,841, 2022
Hierarchical Neural Program Synthesis
L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun
arXiv preprint arXiv:2303.06018, 2023
Diffusion Model-Augmented Behavioral Cloning
HC Wang, SF Chen, SH Sun
arXiv preprint arXiv:2302.13335, 2023
Model-Agnostic Meta-Learning for Multimodal Task Distributions
R Vuorio, SH Sun, H Hu, JJ Lim
Goal-Driven Imitation Learning from Observation by Inferring Goal Proximity
A Szot, Y Lee, SH Sun, JJ Lim
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
G Zhang, A Jain, I Hwang, SH Sun, JJ Lim
Deep Reinforcement Learning Workshop at Neural Information Processing …, 0
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