Yijie Guo
Yijie Guo
Email verificata su umich.edu
Titolo
Citata da
Citata da
Anno
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
X Yan, J Yang, E Yumer, Y Guo, H Lee
arXiv preprint arXiv:1612.00814, 2016
4272016
Self-imitation learning
J Oh, Y Guo, S Singh, H Lee
International Conference on Machine Learning, 3878-3887, 2018
1202018
Unsupervised discovery of object landmarks as structural representations
Y Zhang, Y Guo, Y Jin, Y Luo, Z He, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
932018
Contingency-aware exploration in reinforcement learning
J Choi, Y Guo, M Moczulski, J Oh, N Wu, M Norouzi, H Lee
arXiv preprint arXiv:1811.01483, 2018
292018
Discriminative bimodal networks for visual localization and detection with natural language queries
Y Zhang, L Yuan, Y Guo, Z He, IA Huang, H Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2017
282017
Generative adversarial self-imitation learning
Y Guo, J Oh, S Singh, H Lee
arXiv preprint arXiv:1812.00950, 2018
192018
Learning volumetric 3d object reconstruction from single-view with projective transformations
X Yan, J Yang, E Yumer, Y Guo, H Lee
Neural Information Processing Systems, 2016
72016
Predictive information accelerates learning in rl
KH Lee, I Fischer, A Liu, Y Guo, H Lee, J Canny, S Guadarrama
arXiv preprint arXiv:2007.12401, 2020
62020
Efficient exploration with self-imitation learning via trajectory-conditioned policy
Y Guo, J Choi, M Moczulski, S Bengio, M Norouzi, H Lee
52019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
Y Guo, J Choi, M Moczulski, S Feng, S Bengio, M Norouzi, H Lee
arXiv preprint arXiv:1907.10247, 2019
22019
Generative Adversarial Self-Imitation Learning
J Oh, Y Guo, S Singh, H Lee
2018
Unsupervised Discovery of Landmarks as Structural Representations
Y Zhang, Y Guo, Y Jin, Y Luo, Z He, H Lee
2018
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision Supplementary Materials
X Yan, J Yang, E Yumer, Y Guo, H Lee
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