| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1281 | 2025 |
| Towards data-free model stealing in a hard label setting S Sanyal, S Addepalli, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 150 | 2022 |
| Guided adversarial attack for evaluating and enhancing adversarial defenses G Sriramanan, S Addepalli, A Baburaj Advances in Neural Information Processing Systems 33, 20297-20308, 2020 | 137 | 2020 |
| Towards efficient and effective adversarial training G Sriramanan, S Addepalli, A Baburaj Advances in Neural Information Processing Systems 34, 11821-11833, 2021 | 96 | 2021 |
| Efficient and effective augmentation strategy for adversarial training S Addepalli, S Jain Advances in Neural Information Processing Systems 35, 1488-1501, 2022 | 80 | 2022 |
| Scaling adversarial training to large perturbation bounds S Addepalli, S Jain, G Sriramanan, R Venkatesh Babu European Conference on Computer Vision, 301-316, 2022 | 71* | 2022 |
| Leveraging vision-language models for improving domain generalization in image classification S Addepalli, AR Asokan, L Sharma, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 61 | 2024 |
| Towards achieving adversarial robustness by enforcing feature consistency across bit planes S Addepalli, V BS, A Baburaj, G Sriramanan, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 58 | 2020 |
| Degan: Data-enriching gan for retrieving representative samples from a trained classifier S Addepalli, GK Nayak, A Chakraborty, VB Radhakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3130-3137, 2020 | 52 | 2020 |
| Rmlvqa: A margin loss approach for visual question answering with language biases A Basu, S Addepalli, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 40 | 2023 |
| Dart: Diversify-aggregate-repeat training improves generalization of neural networks S Jain, S Addepalli, PK Sahu, P Dey, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| On chip ZQ calibration resistor trimming S Addepalli, S Yadala US Patent 9,563,213, 2017 | 31 | 2017 |
| Search for impedance calibration H Miwa, S Addepalli, S Yadala US Patent 9,531,382, 2016 | 24 | 2016 |
| Duty cycle and skew correction for output signals generated in source synchronous systems S Addepalli, RA Madpur, S Yadala US Patent 10,367,493, 2019 | 20 | 2019 |
| Towards efficient and effective self-supervised learning of visual representations S Addepalli, K Bhogale, P Dey, RV Babu European Conference on Computer Vision, 523-538, 2022 | 17 | 2022 |
| Boosting adversarial robustness using feature level stochastic smoothing S Addepalli, S Jain, G Sriramanan, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 14 | 2021 |
| Efficient Peak Current Management In A Multi-Die Stack S Addepalli, S Yadala US Patent App. 15/099,496, 2017 | 14 | 2017 |
| Feature reconstruction from outputs can mitigate simplicity bias in neural networks S Addepalli, A Nasery, VB Radhakrishnan, P Netrapalli, P Jain The Eleventh International Conference on Learning Representations, 2023 | 12 | 2023 |
| Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? S Addepalli, Y Varun, A Suggala, K Shanmugam, P Jain arXiv preprint arXiv:2412.03235, 2024 | 9 | 2024 |
| Certified adversarial robustness within multiple perturbation bounds S Nandi, S Addepalli, H Rangwani, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
