Παρακολούθηση
Shreya Shankar
Shreya Shankar
University of California, Berkeley
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα berkeley.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
3572017
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
3132018
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
1232020
Operationalizing machine learning: An interview study
S Shankar, R Garcia, JM Hellerstein, AG Parameswaran
arXiv preprint arXiv:2209.09125, 2022
81*2022
Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences
S Shankar, JD Zamfirescu-Pereira, B Hartmann, A Parameswaran, ...
Proceedings of the 37th Annual ACM Symposium on User Interface Software and …, 2024
502024
Towards Observability for Production Machine Learning Pipelines
S Shankar, A Parameswaran
arXiv preprint arXiv:2108.13557, 2021
322021
Spade: Synthesizing data quality 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
202024
Revisiting prompt engineering via declarative crowdsourcing
AG Parameswaran, S Shankar, P Asawa, N Jain, Y Wang
arXiv preprint arXiv:2308.03854, 2023
202023
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
142023
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
13*2023
Rethinking streaming machine learning evaluation
S Shankar, B Herman, AG Parameswaran
arXiv preprint arXiv:2205.11473, 2022
132022
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
102022
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
72024
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
S Shankar, T Chambers, T Shah, AG Parameswaran, E Wu
arXiv preprint arXiv:2410.12189, 2024
52024
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
52019
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
32024
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
12024
Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM)
M Hulsebos, M Interlandi, S Shankar
Companion of the 2024 International Conference on Management of Data, 651-652, 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
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Άρθρα 1–20