Research
My current research focuses on machine learning, lifelong learning, and computer vision.
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Reawakening Knowledge: Anticipatory Recovery from Catastrophic Interference via Structured Training
Yanlai Yang,
Matt Jones,
Michael C. Mozer,
Mengye Ren
NeurIPS 2024
arXiv
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code
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Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Aviral Kumar*,
Anikait Singh*,
Frederik Ebert*,
Mitsuhiko Nakamoto,
Yanlai Yang,
Chelsea Finn,
Sergey Levine
RSS 2023
project page
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arXiv
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code
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Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Frederik Ebert*,
Yanlai Yang*,
Karl Schmeckpeper,
Bernadette Bucher,
Georgios Georgakis,
Chelsea Finn,
Sergey Levine
RSS 2022
project page (new)
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project page (old)
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arXiv
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code
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blog post
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Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
R. Stuart Geiger,
Kevin Yu,
Yanlai Yang,
Mindy Dai,
Jie Qiu,
Rebekah Tang,
Jenny Huang
ACM FAT* 2020
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Workshop Papers and Academic Reports
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Egocentric Video Comprehension via Large Language Model Inner Speech
Ying Wang,
Dongdong Sun,
Rui Chen,
Yanlai Yang,
Mengye Ren
3rd International Ego4D Workshop @ CVPR 2023
Paper
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code
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Multi-Task Learning Architectures and Applications
Andy Yan,
Xin Wang,
Yanlai Yang,
Roy Fox,
Xiaolong Wang,
Joseph Gonzalez
Technical Report, 2020
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