| Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation R Vuorio, SH Sun, H Hu, JJ Lim Neural Information Processing Systems (NeurIPS) 2019, 2019 | 225 | 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 | 143 | 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 | 128 | 2014 |
| 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 | 68 | 2018 |
| Neural Program Synthesis from Diverse Demonstration Videos SH Sun, H Noh, S Somasundaram, J Lim International Conference on Machine Learning (ICML) 2018, 2018 | 63 | 2018 |
| Program guided agent SH Sun, TL Wu, JJ Lim International Conference on Learning Representations (ICLR) 2020, 2019 | 46 | 2019 |
| Skill-based Meta-Reinforcement Learning T Nam, SH Sun, K Pertsch, SJ Hwang13, JJ Lim International Conference on Learning Representations (ICLR) 2022, 2022 | 34 | 2022 |
| Learning to Synthesize Programs as Interpretable and Generalizable Policies D Trivedi, J Zhang, SH Sun, JJ Lim Neural Information Processing Systems (NeurIPS) 2021, 2021 | 32 | 2021 |
| 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 | 30 | 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 | 29 | 2019 |
| Generalizable Imitation Learning from Observation via Inferring Goal Proximity Y Lee, A Szot, SH Sun, JJ Lim Neural Information Processing Systems (NeurIPS) 2021, 2021 | 28 | 2021 |
| Multi-digit MNIST for Few-shot Learning SH Sun URL https://github. com/shaohua0116/MultiDigitMNIST, 2019 | 19* | 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 |
| 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 | 4 | 2023 |
| Diffusion Model-Augmented Behavioral Cloning HC Wang, SF Chen, SH Sun arXiv preprint arXiv:2302.13335, 2023 | 3 | 2023 |
| Hierarchical neural program synthesis L Zhong, R Lindeborg, J Zhang, JJ Lim, SH Sun arXiv preprint arXiv:2303.06018, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| Feedback adversarial learning JM Huh, SH Sun, N Zhang US Patent 11,429,841, 2022 | 2 | 2022 |
| 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 | 2* | |
| Feedback adversarial learning JM Huh, SH Sun, N Zhang US Patent 11,604,963, 2023 | | 2023 |
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
