| Adversarial examples that fool both computer vision and time-limited humans G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... Advances in neural information processing systems 31, 2018 | 378 | 2018 |
| No classification without representation: Assessing geodiversity issues in open data sets for the developing world S Shankar, Y Halpern, E Breck, J Atwood, J Wilson, D Sculley arXiv preprint arXiv:1711.08536, 2017 | 325 | 2017 |
| Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ... Advances in Neural Information Processing Systems 33, 5318-5331, 2020 | 114 | 2020 |
| Operationalizing machine learning: An interview study S Shankar, R Garcia, JM Hellerstein, AG Parameswaran arXiv preprint arXiv:2209.09125, 2022 | 65* | 2022 |
| Towards Observability for Production Machine Learning Pipelines S Shankar, A Parameswaran arXiv preprint arXiv:2108.13557, 2021 | 26* | 2021 |
| Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences S Shankar, JD Zamfirescu-Pereira, B Hartmann, AG Parameswaran, ... arXiv preprint arXiv:2404.12272, 2024 | 15 | 2024 |
| Revisiting prompt engineering via declarative crowdsourcing AG Parameswaran, S Shankar, P Asawa, N Jain, Y Wang arXiv preprint arXiv:2308.03854, 2023 | 12 | 2023 |
| Bolt-on, compact, and rapid program slicing for notebooks S Shankar, S Macke, S Chasins, A Head, A Parameswaran Proceedings of the VLDB Endowment 15 (13), 4038-4047, 2022 | 10 | 2022 |
| Automatic and precise data validation for machine learning S Shankar, L Fawaz, K Gyllstrom, A Parameswaran Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 9* | 2023 |
| Subtle adversarial image manipulations influence both human and machine perception V Veerabadran, J Goldman, S Shankar, B Cheung, N Papernot, A Kurakin, ... Nature Communications 14 (1), 4933, 2023 | 9 | 2023 |
| Spade: Synthesizing assertions for large language model pipelines S Shankar, H Li, P Asawa, M Hulsebos, Y Lin, JD Zamfirescu-Pereira, ... arXiv preprint arXiv:2401.03038, 2024 | 8 | 2024 |
| Rethinking streaming machine learning evaluation S Shankar, B Herman, AG Parameswaran arXiv preprint arXiv:2205.11473, 2022 | 8 | 2022 |
| Adversarial examples influence human visual perception GF Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... Journal of Vision 19 (10), 190c-190c, 2019 | 5 | 2019 |
| Towards Accurate and Efficient Document Analytics with Large Language Models Y Lin, M Hulsebos, R Ma, S Shankar, S Zeigham, AG Parameswaran, ... arXiv preprint arXiv:2405.04674, 2024 | 3 | 2024 |
| Building Reactive Large Language Model Pipelines with Motion S Shankar, AG Parameswaran Companion of the 2024 International Conference on Management of Data, 520-523, 2024 | 1 | 2024 |
| It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? M Hulsebos, W Lin, S Shankar, A Parameswaran Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 1-4, 2024 | | 2024 |
| Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM) M Boehm, M Hulsebos, S Shankar, P Varma Companion of the 2023 International Conference on Management of Data, 305-306, 2023 | | 2023 |
| Berkeley Databases Prelim Notes S Shankar | | 2022 |
| Predictive Modeling: A Retrospective S Shankar | | |
Aditya ParameswaranAssociate Professor, UC BerkeleyZweryfikowany adres z berkeley.edu
