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Shao-Hua Sun
Title
Cited by
Cited by
Year
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
R Vuorio, SH Sun, H Hu, JJ Lim
Neural Information Processing Systems (NeurIPS) 2019, 2019
2622019
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
1532018
Exploiting image structural similarity for single image rain removal
SH Sun, SP Fan, YCF Wang
IEEE International Conference on Image Processing (ICIP) 2014, 2014
1312014
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
872018
Neural Program Synthesis from Diverse Demonstration Videos
SH Sun, H Noh, S Somasundaram, J Lim
International Conference on Machine Learning (ICML) 2018, 2018
692018
Program guided agent
SH Sun, TL Wu, JJ Lim
International Conference on Learning Representations (ICLR) 2020, 2019
662019
Learning to Synthesize Programs as Interpretable and Generalizable Policies
D Trivedi, J Zhang, SH Sun, JJ Lim
Neural Information Processing Systems (NeurIPS) 2021, 2021
552021
Skill-based Meta-Reinforcement Learning
T Nam, SH Sun, K Pertsch, SJ Hwang13, JJ Lim
International Conference on Learning Representations (ICLR) 2022, 2022
442022
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Y Lee, A Szot, SH Sun, JJ Lim
Neural Information Processing Systems (NeurIPS) 2021, 2021
342021
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
312018
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
292019
Bootstrap your own skills: Learning to solve new tasks with large language model guidance
J Zhang, J Zhang, K Pertsch, Z Liu, X Ren, M Chang, SH Sun, JJ Lim
arXiv preprint arXiv:2310.10021, 2023
232023
Multi-digit MNIST for Few-shot Learning
SH Sun
URL https://github. com/shaohua0116/MultiDigitMNIST, 2019
21*2019
Learning to Act from Actionless Videos through Dense Correspondences
PC Ko, J Mao, Y Du, SH Sun, JB Tenenbaum
International Conference on Learning Representations (ICLR), 2024
132024
Diffusion model-augmented behavioral cloning
SF Chen, HC Wang, MH Hsu, CM Lai, SH Sun
International Conference on Machine Learning (ICML), 2024
10*2024
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
GT Liu, EP Hu, PJ Cheng, HY Lee, SH Sun
International Conference on Machine Learning (ICML) 2023, 2023
102023
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
72021
Hierarchical neural program synthesis
L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun
arXiv preprint arXiv:2303.06018, 2023
42023
Feedback adversarial learning
JM Huh, SH Sun, N Zhang
US Patent 11,429,841, 2022
42022
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 …, 2022
42022
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Articles 1–20