Muthu Chidambaram

According to our database, Muthu Chidambaram authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What does guidance do? A fine-grained analysis in a simple setting.

Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu

CoRR, 2024

Reassessing How to Compare and Improve the Calibration of Machine Learning Models.

Muthu Chidambaram, Rong Ge

CoRR, 2024

For Better or For Worse? Learning Minimum Variance Features With Label Augmentation.

Muthu Chidambaram, Rong Ge

CoRR, 2024

How Flawed Is ECE? An Analysis via Logit Smoothing.

Muthu Chidambaram, Holden Lee, Colin McSwiggen, Semon Rezchikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Limitations of Temperature Scaling for Distributions with Overlaps.

Muthu Chidambaram, Rong Ge

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Uniform Confidence Phenomenon in Deep Learning and its Implications for Calibration.

Muthu Chidambaram, Rong Ge

CoRR, 2023

Hiding Data Helps: On the Benefits of Masking for Sparse Coding.

Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge

Proceedings of the International Conference on Machine Learning, 2023

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup.

Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Understanding the Data Dependency of Mixup-style Training.

Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge

Proceedings of the Tenth International Conference on Learning Representations, 2022