Deep Integrated Explanations

Oren Barkan; Yehonathan Elisha; Jonathan Weill; Yuval Asher; Amit Eshel; Noam Koenigstein

doi:10.1145/3583780.3614836

Deep Integrated Explanations

Oren Barkan, Yehonathan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein

نتاج البحث: فصل من :كتاب / تقرير / مؤتمر › منشور من مؤتمر › مراجعة النظراء

ملخص

This paper presents Deep Integrated Explanations (DIX) - a universal method for explaining vision models. DIX generates explanation maps by integrating information from the intermediate representations of the model, coupled with their corresponding gradients. Through an extensive array of both objective and subjective evaluations spanning diverse tasks, datasets, and model configurations, we showcase the efficacy of DIX in generating faithful and accurate explanation maps, while surpassing current state-of-the-art methods. Our code is available at: https://github.com/dix-cikm23/dix.

اللغة الأصلية	الإنجليزيّة
عنوان منشور المضيف	CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
ناشر	Association for Computing Machinery
الصفحات	57-67
عدد الصفحات	11
رقم المعيار الدولي للكتب (الإلكتروني)	9798400701245
المعرِّفات الرقمية للأشياء	https://doi.org/10.1145/3583780.3614836
حالة النشر	نُشِر - 21 أكتوبر 2023
منشور خارجيًا	نعم
الحدث	32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 - Birmingham, بريطانيا المدة: ٢١ أكتوبر ٢٠٢٣ → ٢٥ أكتوبر ٢٠٢٣

سلسلة المنشورات

الاسم	International Conference on Information and Knowledge Management, Proceedings

!!Conference

!!Conference	32nd ACM International Conference on Information and Knowledge Management, CIKM 2023
الدولة/الإقليم	بريطانيا
المدينة	Birmingham
المدة	٢١/١٠/٢٣ → ٢٥/١٠/٢٣

ملاحظة ببليوغرافية

Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

الوصول إلى المستند

10.1145/3583780.3614836

الملفات والروابط الأخرى

Link to publication in Scopus

قم بذكر هذا

Barkan, O., Elisha, Y., Weill, J., Asher, Y., Eshel, A., & Koenigstein, N. (2023). Deep Integrated Explanations. في CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (الصفحات 57-67). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3583780.3614836

@inproceedings{331be1fdb57b43f1b721a2994731f937,

title = "Deep Integrated Explanations",

abstract = "This paper presents Deep Integrated Explanations (DIX) - a universal method for explaining vision models. DIX generates explanation maps by integrating information from the intermediate representations of the model, coupled with their corresponding gradients. Through an extensive array of both objective and subjective evaluations spanning diverse tasks, datasets, and model configurations, we showcase the efficacy of DIX in generating faithful and accurate explanation maps, while surpassing current state-of-the-art methods. Our code is available at: https://github.com/dix-cikm23/dix.",

keywords = "Computer Vision, Deep Learning, Explainable AI",

author = "Oren Barkan and Yehonathan Elisha and Jonathan Weill and Yuval Asher and Amit Eshel and Noam Koenigstein",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 ; Conference date: 21-10-2023 Through 25-10-2023",

year = "2023",

month = oct,

day = "21",

doi = "10.1145/3583780.3614836",

language = "אנגלית",

series = "International Conference on Information and Knowledge Management, Proceedings",

publisher = "Association for Computing Machinery",

pages = "57--67",

booktitle = "CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management",

}

Barkan, O, Elisha, Y, Weill, J, Asher, Y, Eshel, A & Koenigstein, N 2023, Deep Integrated Explanations. في CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, الصفحات 57-67, 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, بريطانيا, ٢١/١٠/٢٣. https://doi.org/10.1145/3583780.3614836

Deep Integrated Explanations. / Barkan, Oren; Elisha, Yehonathan; Weill, Jonathan وآخرون.
CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2023. صفحة 57-67 (International Conference on Information and Knowledge Management, Proceedings).

نتاج البحث: فصل من :كتاب / تقرير / مؤتمر › منشور من مؤتمر › مراجعة النظراء

TY - GEN

T1 - Deep Integrated Explanations

AU - Barkan, Oren

AU - Elisha, Yehonathan

AU - Weill, Jonathan

AU - Asher, Yuval

AU - Eshel, Amit

AU - Koenigstein, Noam

PY - 2023/10/21

Y1 - 2023/10/21

N2 - This paper presents Deep Integrated Explanations (DIX) - a universal method for explaining vision models. DIX generates explanation maps by integrating information from the intermediate representations of the model, coupled with their corresponding gradients. Through an extensive array of both objective and subjective evaluations spanning diverse tasks, datasets, and model configurations, we showcase the efficacy of DIX in generating faithful and accurate explanation maps, while surpassing current state-of-the-art methods. Our code is available at: https://github.com/dix-cikm23/dix.

AB - This paper presents Deep Integrated Explanations (DIX) - a universal method for explaining vision models. DIX generates explanation maps by integrating information from the intermediate representations of the model, coupled with their corresponding gradients. Through an extensive array of both objective and subjective evaluations spanning diverse tasks, datasets, and model configurations, we showcase the efficacy of DIX in generating faithful and accurate explanation maps, while surpassing current state-of-the-art methods. Our code is available at: https://github.com/dix-cikm23/dix.

KW - Computer Vision

KW - Deep Learning

KW - Explainable AI

UR - http://www.scopus.com/inward/record.url?scp=85175686880&partnerID=8YFLogxK

U2 - 10.1145/3583780.3614836

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AN - SCOPUS:85175686880

T3 - International Conference on Information and Knowledge Management, Proceedings

SP - 57

EP - 67

BT - CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

PB - Association for Computing Machinery

T2 - 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023

Y2 - 21 October 2023 through 25 October 2023

ER -

Barkan O, Elisha Y, Weill J, Asher Y, Eshel A, Koenigstein N. Deep Integrated Explanations. في CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery. 2023. صفحة 57-67. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/3583780.3614836

Deep Integrated Explanations

ملخص

سلسلة المنشورات

!!Conference

ملاحظة ببليوغرافية

الوصول إلى المستند

الملفات والروابط الأخرى

بصمة

قم بذكر هذا