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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