Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps.
Oren Barkan|Edan Hauon|Avi Caciularu|Ori Katz|Itzik Malkiel|Omri Armstrong|Noam Koenigstein
| Anthology ID: | DBLP:conf/cikm/BarkanHCKMAK21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2882-2887 |
| URL: | https://doi.org/10.1145/3459637.3482126 |
| DOI: | https://doi.org/10.1145/3459637.3482126 |
| DBLP: | conf/cikm/BarkanHCKMAK21 |
| BibTeX: |
@inproceedings{barkan-2021-gradsam,
author = {Oren Barkan and
Edan Hauon and
Avi Caciularu and
Ori Katz and
Itzik Malkiel and
Omri Armstrong and
Noam Koenigstein},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2882--2887},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482126},
doi = {https://doi.org/10.1145/3459637.3482126}
}