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Christina Baek
Christina Baek
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
The landscape of genetic content in the gut and oral human microbiome
BT Tierney, Z Yang, JM Luber, M Beaudin, MC Wibowo, C Baek, ...
Cell host & microbe 26 (2), 283-295. e8, 2019
2592019
Assessing generalization of SGD via disagreement
Y Jiang, V Nagarajan, C Baek, JZ Kolter
arXiv preprint arXiv:2106.13799, 2021
902021
Agreement-on-the-line: Predicting the performance of neural networks under distribution shift
C Baek, Y Jiang, A Raghunathan, JZ Kolter
Advances in Neural Information Processing Systems 35, 19274-19289, 2022
542022
Inhibition of spontaneous and experimental lung metastasis of soft-tissue sarcoma by tumor-targeting Salmonella typhimurium A1-R
S Miwa, Y Zhang, KE Baek, F Uehara, S Yano, M Yamamoto, Y Hiroshima, ...
Oncotarget 5 (24), 12849, 2014
502014
USP11 Enhances TGFβ-Induced Epithelial–Mesenchymal Plasticity and Human Breast Cancer Metastasis
DA Garcia, C Baek, MV Estrada, T Tysl, EJ Bennett, J Yang, JT Chang
Molecular Cancer Research 16 (7), 1172-1184, 2018
422018
Incremental Learning via Rate Reduction
Z Wu, C Baek, C You, Y Ma
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
322021
Computational benefits of intermediate rewards for goal-reaching policy learning
Y Zhai, C Baek, Z Zhou, J Jiao, Y Ma
Journal of Artificial Intelligence Research 73, 847-896, 2022
162022
Efficient maximal coding rate reduction by variational forms
C Baek, Z Wu, KHR Chan, T Ding, Y Ma, BD Haeffele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
On the Joint Interaction of Models, Data, and Features
Y Jiang, C Baek, JZ Kolter
arXiv preprint arXiv:2306.04793, 2023
12023
Performance of neural networks under distribution shift
Y Jiang, C Baek, J Kolter, A Raghunathan, JD Semedo, FJC CONDESSA, ...
US Patent App. 17/841,120, 2023
2023
Why is SAM Robust to Label Noise?
C Baek, JZ Kolter, A Raghunathan
The Twelfth International Conference on Learning Representations, 2023
2023
Predicting the Performance of Foundation Models via Agreement-on-the-line
A Mehra, R Saxena, T Kim, C Baek, JZ Kolter, A Raghunathan
2023
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