Please see my Google Scholar page for an up-to-date list of publications.
Machine Learning Research
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Multi-Game Decision Transformers [arXiv] [Blog]
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
NeurIPS 2022, Oral -
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models [arXiv]
Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel
Preprint, 2022 -
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners [arXiv]
Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel
Preprint, 2022 -
Multimodal Masked Autoencoders Learn Transferable Representations [arXiv]
Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurmans, Sergey Levine, Pieter Abbeel
Preprint, 2022 - Learning Embodied Agents with Scalably-Supervised Reinforcement Learning [PDF]
Lisa Lee's PhD Thesis 2021
Thesis Committee: Ruslan Salakhutdinov (CMU), Eric Xing (CMU), Chelsea Finn (Stanford), Sergey Levine (UC Berkeley) -
Weakly-Supervised Reinforcement Learning for Controllable Behavior [arXiv] [poster]
Lisa Lee, Benjamin Eysenbach, Ruslan Salakhutdinov, Shane Gu, Chelsea Finn
NeurIPS 2020 -
f-IRL: Inverse Reinforcement Learning via State Marginal Matching [arXiv]
Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach.
CoRL 2020 -
Efficient Exploration via State Marginal Matching [arXiv] [slides] [website]
Lisa Lee*, Benjamin Eysenbach*, Emilio Parisotto, Ruslan Salakhutdinov, Sergey Levine
Presented as two Contributed Talks at SPiRL and TARL workshops at ICLR 2019. -
Embodied Multimodal Multitask Learning [arXiv] [website]
Devendra Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
IJCAI 2020 -
On the Complexity of Exploration in Goal-Driven Navigation [arXiv] [poster]
Lisa Lee*, Maruan Al-Shedivat*, Ruslan Salakhutdinov, Eric Xing
NIPS 2018 Workshop on Relational Representation Learning -
Gated Path Planning Networks [arXiv] [GitHub] [slides]
Lisa Lee*, Emilio Parisotto*, Devendra Singh Chaplot, Eric Xing, Ruslan Salakhutdinov
ICML 2018 -
Dual Motion GAN for Future-Flow Embedded Video Prediction [arXiv]
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
ICCV 2017 -
Deep Variation-structured Reinforcement Learning for Visual Relationship & Attribute Detection [arXiv]
Xiaodan Liang, Lisa Lee, Eric P. Xing
CVPR 2017, Spotlight Paper -
Combining LSTM and Latent Topic Modeling for Mortality Prediction [arXiv]
Yohan Jo*, Lisa Lee*, Shruti Palaskar
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On the Linear Algebraic Structure of Distributed Word Representations [arXiv]
Lisa Lee
Senior thesis at Princeton University, advised by Sanjeev Arora. -
Robotic Search & Rescue via Online Multi-Task Reinforcement Learning [arXiv] [GitHub]
Lisa Lee
National Science Foundation REU 2014 at UPenn GRASP Robotics Lab
As a fun side project, I programmed the robot to follow my Pikachu around the lab.
Mathematics Research
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Recognizing signed-graphic matroids: Cylinder flips and the importance of column scaling [arXiv]
Lisa Lee
Junior-year thesis at Princeton University, advised by Stefan van Zwam. -
Coxeter matroids [PDF]
Lisa Lee
Exposition for junior seminar on Coxeter groups: algebra, combinatorics, and geometry (Fall 2013) -
Whitney numbers of the first kind and the f-vector [PDF]
Lisa Lee, Mariya Sardarli
Princeton Summer Math Research 2013, advised by Stefan van Zwam.