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ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification



Zhibo Zhang , Jongseong Jang , Chiheb Trabelsi , Ruiwen Li , Scott Sanner , Yeonjeong Jeong , Dongsub Shim


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EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment



Ruiwen Li , Zhibo Zhang , Jiani Li , Scott Sanner , Jongseong Jang , Yeonjeong Jeong , Dongsub Shim


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Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring



Sam Sattarzadeh , Mahesh Sudhakar , Konstantinos N. Plataniotis , Jongseong Jang , Yeonjeong Jeong , Hyunwoo Kim

* 5 pages, 3 figures Accepted in 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021) 

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Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks



Mahesh Sudhakar , Sam Sattarzadeh , Konstantinos N. Plataniotis , Jongseong Jang , Yeonjeong Jeong , Hyunwoo Kim

* 5 pages, 4 figures. Accepted in 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021) 

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Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation



Sam Sattarzadeh , Mahesh Sudhakar , Anthony Lem , Shervin Mehryar , K. N. Plataniotis , Jongseong Jang , Hyunwoo Kim , Yeonjeong Jeong , Sangmin Lee , Kyunghoon Bae

* 9 pages, 9 figures 

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