Publications

You can also find my articles on my Google Scholar profile and latest submissions in the CV.

Published Work

* == equal contribution

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Fine-Tuning is Fine, if Calibrated

Zheda Mai*, Arpita Chowdhury*, Ping Zhang*, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Steward, Yu Su, Wei-Lun Cha

The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 (NeurIPS 2024)

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CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs

Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao.

The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 (NeurIPS 2024)

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INTR: A Simple Interpretable Transformer for Fine-grained Image Classification and Analysis

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya L. Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

The Twelfth International Conference on Learning Representations, 2024 (ICLR 2024)

Under Review

PROMPT-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis

Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G Campolongo, Daniel Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao.

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation

Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao.

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation

Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G Campolongo, Matthew J Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao.