Yanlai Yang

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents.
CoRR
Kangsan Kim, Yanlai Yang, Suji Kim, Woongyeong Yeo, Youngwan Lee, Mengye Ren, Sung Ju Hwang
2025 J jnl
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos.
CoRR
Yanlai Yang, Mengye Ren
2025 J jnl
StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding.
CoRR
Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, Mengye Ren
2024 A* conf
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
NeurIPS
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2024 J jnl
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
CoRR
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
2023 J jnl
LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos.
CoRR
Ying Wang, Yanlai Yang, Mengye Ren
2023 — conf
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials.
Robotics: Science and Systems
Aviral Kumar, Anikait Singh, Frederik D. Ebert, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, Sergey Levine
2022 — conf
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets.
Robotics: Science and Systems
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine
2022 J jnl
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials.
CoRR
Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine
2021 J jnl
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets.
CoRR
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine
2020 — conf
Garbage in, garbage out?: do machine learning application papers in social computing report where human-labeled training data comes from?
FAT*
R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang
2019 J jnl
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
CoRR
R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang