Christina Baek

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Incremental Learning

Top Venues

Publications

Christina Baek, J. Zico Kolter, Aditi Raghunathan
Why is SAM Robust to Label Noise? ICLR (2024)
Yiding Jiang, Christina Baek, J. Zico Kolter
On the Joint Interaction of Models, Data, and Features. ICLR (2024)
Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan
Predicting the Performance of Foundation Models via Agreement-on-the-Line. CoRR (2024)
Christina Baek, Zico Kolter, Aditi Raghunathan
Why is SAM Robust to Label Noise? CoRR (2024)
Yiding Jiang, Christina Baek, J. Zico Kolter
On the Joint Interaction of Models, Data, and Features. CoRR (2023)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. 73 (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR (2022)
Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift. CoRR (2022)
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter
Assessing Generalization of SGD via Disagreement. ICLR (2022)
Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. NeurIPS (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR (2022)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CVPR (2021)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR (2021)
Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter
Assessing Generalization of SGD via Disagreement. CoRR (2021)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CoRR (2020)
Beom-Jin Lee, Jinyoung Choi, Chung-yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Mokodir Emaase, Byoung-Tak Zhang
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. AAAI (2018)
Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang
Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. ICRA (2018)
Ji-Hoon Lee, Seung Hwan Lee, Christina Baek, Hyo-Sun Chun, Je-Hwan Ryu, Jin-Woo Kim, Russell J. Deaton, Byoung-Tak Zhang
In vitro molecular machine learning algorithm via symmetric internal loops of DNA. Biosyst. 158 (2017)