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2020 – today
- 2022
[i9]Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR abs/2204.01691 (2022)- [i8]Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah:
An Empirical Investigation of Representation Learning for Imitation. CoRR abs/2205.07886 (2022) - [i7]Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch:
Multi-Game Decision Transformers. CoRR abs/2205.15241 (2022) - [i6]Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel:
Deep Hierarchical Planning from Pixels. CoRR abs/2206.04114 (2022) - 2021
- [c6]Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin:
Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) 2021: 4410-4415 - [c5]Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah:
An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks 2021 - [c4]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. NeurIPS 2021: 19538-19552 - [i5]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. CoRR abs/2109.12909 (2021) - 2020
- [c3]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. NeurIPS 2020 - [i4]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. CoRR abs/2007.12401 (2020)
2010 – 2019
- 2019
- [i3]Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao:
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. CoRR abs/1909.09953 (2019) - 2018
- [c2]Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise. CVPR 2018: 5447-5456 - [c1]Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He:
Stacked Cross Attention for Image-Text Matching. ECCV (4) 2018: 212-228 - [i2]Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He:
Stacked Cross Attention for Image-Text Matching. CoRR abs/1803.08024 (2018) - 2017
- [i1]Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise. CoRR abs/1711.07131 (2017) - 2012
- [j1]Hao-Ming Hsiao, Yi-Hsiang Chiu, Kuang-Huei Lee, Chien-Han Lin:
Computational modeling of effects of intravascular stent design on key mechanical and hemodynamic behavior. Comput. Aided Des. 44(8): 757-765 (2012)
Coauthor Index
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