Yanlai Yang - RankMe

12 papers A* 1Journal 8Unranked 3

Year	Rank	Type	Title / 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