| Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation R Vuorio, SH Sun, H Hu, JJ Lim Neural Information Processing Systems (NeurIPS) 2019, 2019 | 178 | 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 | 120 | 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 | 118 | 2014 |
| Neural Program Synthesis from Diverse Demonstration Videos SH Sun, H Noh, S Somasundaram, J Lim International Conference on Machine Learning (ICML) 2018, 2018 | 58 | 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 | 53 | 2018 |
| Program guided agent SH Sun, TL Wu, JJ Lim International Conference on Learning Representations (ICLR) 2020, 2019 | 31 | 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 | 26 | 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 | 24 | 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 | 18 | 2021 |
| Skill-based Meta-Reinforcement Learning T Nam, SH Sun, K Pertsch, SJ Hwang13, JJ Lim International Conference on Learning Representations (ICLR) 2022, 2022 | 17 | 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 | 14 | 2021 |
| Multi-digit MNIST for Few-shot Learning SH Sun URL https://github. com/shaohua0116/MultiDigitMNIST, 2019 | 14* | 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 | 6 | 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 | 1 | 2023 |
| Feedback adversarial learning JM Huh, SH Sun, N Zhang US Patent 11,429,841, 2022 | 1 | 2022 |
| Hierarchical Neural Program Synthesis L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun arXiv preprint arXiv:2303.06018, 2023 | | 2023 |
| Diffusion Model-Augmented Behavioral Cloning HC Wang, SF Chen, SH Sun arXiv preprint arXiv:2302.13335, 2023 | | 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 | | |
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
