82 citations · 264 across the 36 of their papers we have counts for
4 papers · 1 filter
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal, Daniel D'souza, Sara Hooker
In machine learning, a question of great interest is understanding what examples are challenging for a model to classify. Identifying atypical examples ensures the safe deployment…
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs
Peijie Chen, Chirag Agarwal, Anh Nguyen
Increasingly more similarities between human vision and convolutional neural networks (CNNs) have been revealed in the past few years. Yet, vanilla CNNs often fall short in general…
SAM: The Sensitivity of Attribution Methods to Hyperparameters
Naman Bansal, Chirag Agarwal, Anh Nguyen
Attribution methods can provide powerful insights into the reasons for a classifier's decision. We argue that a key desideratum of an explanation method is its robustness to input…
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network
Chirag Agarwal, Shahin Khobahi, Arindam Bose +2
The lack of interpretability in current deep learning models causes serious concerns as they are extensively used for various life-critical applications. Hence, it is of paramount…