Asian Conference on Computer Vision (ACCV 2020) - Acceptance rate (~33%)

Explaining image classifiers by removing input features using generative models

C. Agarwal & A. Nguyen

arXiv link

Project codes

WHI workshop, International Conference on Machine Learning (ICML 2020 workshop) - Spotlight presentation

Intriguing generalization and simplicity of adversarially trained neural networks

C. Agarwal*, P. Chen* & A. Nguyen

arXiv link

WHI workshop, International Conference on Machine Learning (ICML 2020 workshop) - Poster presentation

Estimating Example Difficulty using Variance of Gradients

C. Agarwal* & S. Hooker*

arXiv link

IEEE Conference on Image Processing (ICIP 2020) - Acceptance rate (~42%)

Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network

C. Agarwal, S. Khobahi, A. Bose, M. Soltanalian & D. Schonfeld

arXiv link

Computer Vision and Pattern Recognition (CVPR 2020) - Oral Presentation (~5%)

SAM: The sensitivity of attribution methods to hyperparameters

N. Bansal*, C. Agarwal* & A. Nguyen*

arXiv link

SPIE Medical Imaging (SPIE 2020)

CoroNet: A Deep Network Architecture for Semi-Supervised Task-Based Identification of COVID-19 from Chest X-ray Images

C. Agarwal*, S. Khobahi*, D. Schonfeld & M.Soltanalian

medRxiv link

Project codes

IEEE Conference on Image Processing (ICIP 2019) - Spotlight (Top 10%)

Improving Adversarial Robustness by Encouraging Discriminative Features

C. Agarwal, A. Nguyen & D. Schonfeld

arXiv link

Journal of Computational Mathematics (JCM 2019)

Convergence of backpropagation with momentum for network architectures with skip connections

C. Agarwal, J. Klobusicky & D. Schonfeld

JCM link

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