{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T14:27:36Z","timestamp":1771079256528,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,11]]},"DOI":"10.1109\/aicas57966.2023.10168594","type":"proceedings-article","created":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T18:24:30Z","timestamp":1688754270000},"page":"1-5","source":"Crossref","is-referenced-by-count":4,"title":["Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation"],"prefix":"10.1109","author":[{"given":"Ashwin","family":"Bhat","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arijit","family":"Raychowdhury","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3060483"},{"key":"ref2","first-page":"1","article-title":"Towards better understanding of gradient-based attribution methods for Deep Neural Networks","volume-title":"6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings","author":"Ancona"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3089943"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9415064"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref8","first-page":"1","article-title":"Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks","author":"Draelos","year":"2020"},{"key":"ref9","article-title":"Pytorch library for cam methods","author":"Gildenblat","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.072"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2021.3137646"},{"key":"ref12","article-title":"Efficient xai techniques: A taxonomic survey","author":"Chuang","year":"2023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3375624"},{"key":"ref14","article-title":"On-device training under 256kb memory","author":"Lin","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7312\/haza92762-003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_10"},{"key":"ref17","article-title":"Smoothgrad: removing noise by adding noise","author":"Smilkov","year":"2017"},{"key":"ref18","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"International conference on machine learning","author":"Sundararajan"},{"key":"ref19","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"Abadi","year":"2015"},{"key":"ref20","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Paszke","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-SoC54400.2022.9939601"},{"key":"ref22","article-title":"Mlperf tiny benchmark","volume-title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks","author":"Banbury"},{"key":"ref23","article-title":"Neural network quantization with ai model efficiency toolkit (aimet)","author":"Siddegowda","year":"2022"}],"event":{"name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","location":"Hangzhou, China","start":{"date-parts":[[2023,6,11]]},"end":{"date-parts":[[2023,6,13]]}},"container-title":["2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10168547\/10168548\/10168594.pdf?arnumber=10168594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:23:33Z","timestamp":1710361413000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10168594\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,11]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/aicas57966.2023.10168594","relation":{},"subject":[],"published":{"date-parts":[[2023,6,11]]}}}