Bowen Pan, Rameswar Panda, Yifan Jiang 0001, Zhangyang Wang, Rogério Feris, Aude Oliva. IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 24898-24911, 2021. [doi]
@inproceedings{PanPJWFO21,
title = {IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers},
author = {Bowen Pan and Rameswar Panda and Yifan Jiang 0001 and Zhangyang Wang and Rogério Feris and Aude Oliva},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/d072677d210ac4c03ba046120f0802ec-Abstract.html},
researchr = {https://researchr.org/publication/PanPJWFO21},
cites = {0},
citedby = {0},
pages = {24898-24911},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}