Baek, Christina

16 publications

ICLRW 2025 Assessing Diversity Collapse in Reasoning Xingyu Dang, Christina Baek, J Zico Kolter, Aditi Raghunathan
ICLRW 2025 Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance Sachin Goyal, Christina Baek, J Zico Kolter, Aditi Raghunathan
ICLR 2025 Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance Sachin Goyal, Christina Baek, J Zico Kolter, Aditi Raghunathan
AISTATS 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data Christina Baek, Aditi Raghunathan, J Zico Kolter
ICLR 2024 On the Joint Interaction of Models, Data, and Features Yiding Jiang, Christina Baek, J Zico Kolter
NeurIPS 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena, Taeyoun Kim, Aman Mehra, Christina Baek, Zico Kolter, Aditi Raghunathan
NeurIPS 2024 Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter
ICLR 2024 Why Is SAM Robust to Label Noise? Christina Baek, J Zico Kolter, Aditi Raghunathan
NeurIPSW 2023 Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, J Zico Kolter, Aditi Raghunathan
NeurIPSW 2023 Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena, Aman Mehra, Taeyoun Kim, Christina Baek, J Zico Kolter, Aditi Raghunathan
NeurIPS 2022 Agreement-on-the-Line: Predicting the Performance of Neural Networks Under Distribution Shift Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter
ICLR 2022 Assessing Generalization of SGD via Disagreement Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J Zico Kolter
JAIR 2022 Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
CVPR 2022 Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
CVPR 2021 Incremental Learning via Rate Reduction Ziyang Wu, Christina Baek, Chong You, Yi Ma
AAAI 2018 Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning 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