| How Powerful are K-hop Message Passing Graph Neural Networks J Feng, Y Chen, F Li, A Sarkar, M Zhang Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 66 | 2022 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts A Sarkar, D Vijaykeerthy, A Sarkar, V Balasubramanian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| Zero-shot multilingual sentiment analysis using hierarchical attentive network and BERT A Sarkar, S Reddy, RS Iyengar Proceedings of the 2019 3rd International Conference on Natural Language …, 2019 | 23 | 2019 |
| Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach A Sarkar, A Sarkar, S Gali, VN Balasubramanian Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 14* | 2021 |
| Enhanced Regularizers for Attributional Robustness A Sarkar, A Sarkar, VN Balasubramanian 35th AAAI Conference on Artificial Intelligence (AAAI) 2021, 2021 | 14 | 2021 |
| Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation A Sarkar, R Iyengar 29th International Conference on Artificial Neural Network (ICANN), 13, 2019 | 12 | 2019 |
| Development of Computational Model of Spinal Cord Neural Circuit and Rendering the Spinal Cord Model and Modelling Synapses and Cell Types A Sarkar Indian Institute of Technology Hyderabad, 2016 | 11* | 2016 |
| Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise A Sarkar, A Sarkar, VN Balasubramanian IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, 14, 2022 | 4 | 2022 |
| Reward Delay Attacks on Deep Reinforcement Learning A Sarkar, J Feng, Y Vorobeychik, C Gill, N Zhang 2022 Conference on Decision and Game Theory for Security (GameSec), 2022 | 3 | 2022 |
| A Visual Active Search Framework for Geospatial Exploration A Sarkar, M Lanier, S Alfeld, J Feng, R Garnett, N Jacobs, Y Vorobeychik IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024 …, 2023 | 2 | 2023 |
| Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach A Sarkar, D Vijaykeerthy, A Sarkar, V Balasubramanian ICCV Workshop on " Adversarial Robustness In The Real World"; arXiv:2108.11761v1, 2021 | 2 | 2021 |
| ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness A Sarkar, A Raj, R Iyengar IEEE,19th International Conference on Machine Learning & Applications(ICMLA …, 2019 | 2* | 2019 |
| A Partially-Supervised Reinforcement Learning Framework for Visual Active Search A Sarkar, N Jacobs, Y Vorobeychik Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023 | 1 | 2023 |
| Attacks on Node Attributes in Graph Neural Networks Y Xu, M Lanier, A Sarkar, Y Vorobeychik AAAI Workshop on "AI for Cyber Security"; arXiv preprint arXiv:2402.12426, 2024 | | 2024 |
| Empowering a Robust Model with Stable and Object-Aligned Explanations S Gali, A Sarkar, VN Balasubramanian ECCV Workshop on "Adversarial Robustness In The Real World", 2022 | | 2022 |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaVerified email at iith.ac.in
