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Anirban Sarkar
Anirban Sarkar
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Title
Cited by
Cited by
Year
Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
A Sarkar, A Chattopadhay, P Howlader, VN Balasubramanian
2018 IEEE winter conference on applications of computer vision (WACV), 839-847, 2018
24372018
Neural network attributions: A causal perspective
A Chattopadhyay, P Manupriya, A Sarkar, VN Balasubramanian
International Conference on Machine Learning, 981-990, 2019
1492019
A framework for learning ante-hoc explainable models via concepts
A Sarkar, D Vijaykeerthy, A Sarkar, VN Balasubramanian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
432022
Enhanced regularizers for attributional robustness
A Sarkar, A Sarkar, VN Balasubramanian
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2532-2540, 2021
132021
Source camera identification model: Classifier learning, role of learning curves and their interpretation
VU Sameer, A Sarkar, R Naskar
2017 international conference on wireless communications, signal processing …, 2017
112017
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
A Sarkar, A Sarkar, S Gali, V N Balasubramanian
Advances in Neural Information Processing Systems 34, 12836-12848, 2021
72021
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
A Sarkar, A Sarkar, S Gali, VN Balasubramanian
arXiv preprint arXiv:2111.00295, 2021
72021
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise
A Sarkar, A Sarkar, VN Balasubramanian
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
42022
Deephys: Deep electrophysiology, debugging neural networks under distribution shifts
A Sarkar, M Groth, I Mason, T Sasaki, X Boix
arXiv preprint arXiv:2303.11912, 2023
12023
Inducing semantic grouping of latent concepts for explanations: An ante-hoc approach
A Sarkar, D Vijaykeerthy, A Sarkar, VN Balasubramanian
arXiv preprint arXiv:2108.11761, 2021
12021
Modularity Trumps Invariance for Compositional Robustness
I Mason, A Sarkar, T Sasaki, X Boix
arXiv preprint arXiv:2306.09005, 2023
2023
Rational deep machines towards explainable trustworthy and robust deep learning systems
A Sarkar
Kandi, 2022
2022
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