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Lisa Lee
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Cited by
Year
Dual Motion GAN for Future-Flow Embedded Video Prediction
X Liang, L Lee, W Dai, EP Xing
International Conference on Computer Vision, 2017
3622017
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
X Liang, L Lee, E Xing
Conference on Computer Vision and Pattern Recognition, 2017
2692017
Efficient Exploration via State Marginal Matching
L Lee, B Eysenbach, E Parisotto, R Salakhutdinov, S Levine
arXiv preprint arXiv:1906.05274, 2019
1522019
Gated Path Planning Networks
L Lee, E Parisotto, D Chaplot, E Xing, R Salakhutdinov
International Conference on Machine Learning (ICML), 2018
76*2018
Combining LSTM and latent topic modeling for mortality prediction
Y Jo, L Lee, S Palaskar
arXiv preprint arXiv:1709.02842, 2017
312017
Multi-game decision transformers
KH Lee, O Nachum, M Yang, L Lee, D Freeman, W Xu, S Guadarrama, ...
arXiv preprint arXiv:2205.15241, 2022
302022
External vs. internal: an essay on machine learning agents for autonomous database management systems
A Pavlo, M Butrovich, A Joshi, L Ma, P Menon, D Van Aken, L Lee, ...
IEEE bulletin 42 (2), 2019
302019
f-irl: Inverse reinforcement learning via state marginal matching
T Ni, H Sikchi, Y Wang, T Gupta, L Lee, B Eysenbach
Conference on Robot Learning, 529-551, 2021
292021
Embodied Multimodal Multitask Learning
DS Chaplot, L Lee, R Salakhutdinov, D Parikh, D Batra
arXiv preprint arXiv:1902.01385, 2019
292019
Multimodal masked autoencoders learn transferable representations
X Geng, H Liu, L Lee, D Schuurams, S Levine, P Abbeel
arXiv preprint arXiv:2205.14204, 2022
162022
Weakly-supervised reinforcement learning for controllable behavior
L Lee, B Eysenbach, RR Salakhutdinov, SS Gu, C Finn
Advances in Neural Information Processing Systems 33, 2661-2673, 2020
162020
On the complexity of exploration in goal-driven navigation
M Al-Shedivat, L Lee, R Salakhutdinov, E Xing
arXiv preprint arXiv:1811.06889, 2018
112018
On the linear algebraic structure of distributed word representations
LSY Lee
arXiv preprint arXiv:1511.06961, 2015
72015
Spectral decomposition representation for reinforcement learning
T Ren, T Zhang, L Lee, JE Gonzalez, D Schuurmans, B Dai
arXiv preprint arXiv:2208.09515, 2022
22022
Robotic search & rescue via online multi-task reinforcement learning
L Lee
arXiv preprint arXiv:1511.08967, 2015
22015
Recognizing signed-graphic matroids: Cylinder flips and the importance of column scaling
LSY Lee
arXiv preprint arXiv:1405.1313, 2014
12014
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners
H Liu, X Geng, L Lee, I Mordatch, S Levine, S Narang, P Abbeel
arXiv preprint arXiv:2210.13432, 2022
2022
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models
H Liu, L Lee, K Lee, P Abbeel
arXiv preprint arXiv:2210.13431, 2022
2022
Learning Embodied Agents with Scalably-Supervised Reinforcement Learning
L Lee
Carnegie Mellon University, 2021
2021
Low-Data Policy Distillation
E Parisotto, L Lee, Y Wu
forest 1, 2, 0
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