Anirban Sarkar

11 papers A* 4A 2Journal 5

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2022	A	`conf`	Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2021	A*	`conf`	Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	A*	`conf`	Enhanced Regularizers for Attributional Robustness. AAAI Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2021	J	`jnl`	Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. CoRR Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
2021	J	`jnl`	Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
2020	J	`jnl`	Enhanced Regularizers for Attributional Robustness. CoRR Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
2019	A*	`conf`	Neural Network Attributions: A Causal Perspective. ICML Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
2019	J	`jnl`	Neural Network Attributions: A Causal Perspective. CoRR Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth N. Balasubramanian
2018	A	`conf`	Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks. WACV Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian
2017	J	`jnl`	Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks. CoRR Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader, Vineeth N. Balasubramanian