| Garbage in, garbage out? Do machine learning application papers in social computing report where human-labeled training data comes from? RS Geiger, K Yu, Y Yang, M Dai, J Qiu, R Tang, J Huang Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 250 | 2020 |
| Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F Ebert, Y Yang, K Schmeckpeper, B Bucher, G Georgakis, K Daniilidis, ... arXiv preprint arXiv:2109.13396, 2021 | 187 | 2021 |
| Pre-training for robots: Offline rl enables learning new tasks from a handful of trials A Kumar, A Singh, F Ebert, M Nakamoto, Y Yang, C Finn, S Levine arXiv preprint arXiv:2210.05178, 2022 | 76 | 2022 |
| LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos Y Wang, Y Yang, M Ren arXiv preprint arXiv:2312.05269, 2023 | 15 | 2023 |
| Egocentric Video Comprehension via Large Language Model Inner Speech Y Wang, D Sun, R Chen, Y Yang, M Ren 3rd International Ego4D Workshop, 2023 | 4 | 2023 |
| Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training Y Yang, M Jones, MC Mozer, M Ren arXiv preprint arXiv:2403.09613, 2024 | 1 | 2024 |
| Multi-Task Learning Architectures and Applications A Yan, X Wang, Y Yang, R Fox, X Wang, J Gonzalez | 1 | 2020 |
| Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos Y Yang, M Ren arXiv preprint arXiv:2501.12254, 2025 | | 2025 |
Chelsea FinnStanford University, Physical IntelligenceCorreu electrònic verificat a cs.stanford.edu
