| Dual Motion GAN for Future-Flow Embedded Video Prediction X Liang, L Lee, W Dai, EP Xing International Conference on Computer Vision, 2017 | 362 | 2017 |
| 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 | 269 | 2017 |
| Efficient Exploration via State Marginal Matching L Lee, B Eysenbach, E Parisotto, R Salakhutdinov, S Levine arXiv preprint arXiv:1906.05274, 2019 | 152 | 2019 |
| 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 | 31 | 2017 |
| Multi-game decision transformers KH Lee, O Nachum, M Yang, L Lee, D Freeman, W Xu, S Guadarrama, ... arXiv preprint arXiv:2205.15241, 2022 | 30 | 2022 |
| 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 | 30 | 2019 |
| 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 | 29 | 2021 |
| Embodied Multimodal Multitask Learning DS Chaplot, L Lee, R Salakhutdinov, D Parikh, D Batra arXiv preprint arXiv:1902.01385, 2019 | 29 | 2019 |
| Multimodal masked autoencoders learn transferable representations X Geng, H Liu, L Lee, D Schuurams, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 16 | 2022 |
| 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 | 16 | 2020 |
| On the complexity of exploration in goal-driven navigation M Al-Shedivat, L Lee, R Salakhutdinov, E Xing arXiv preprint arXiv:1811.06889, 2018 | 11 | 2018 |
| On the linear algebraic structure of distributed word representations LSY Lee arXiv preprint arXiv:1511.06961, 2015 | 7 | 2015 |
| Spectral decomposition representation for reinforcement learning T Ren, T Zhang, L Lee, JE Gonzalez, D Schuurmans, B Dai arXiv preprint arXiv:2208.09515, 2022 | 2 | 2022 |
| Robotic search & rescue via online multi-task reinforcement learning L Lee arXiv preprint arXiv:1511.08967, 2015 | 2 | 2015 |
| Recognizing signed-graphic matroids: Cylinder flips and the importance of column scaling LSY Lee arXiv preprint arXiv:1405.1313, 2014 | 1 | 2014 |
| 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 | | |
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
