Shreya Shankar

According to our database, Shreya Shankar authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.

Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran

CoRR, 2024

SPADE: Synthesizing Assertions for Large Language Model Pipelines.

Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

Revisiting Prompt Engineering via Declarative Crowdsourcing.

Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Moving Fast With Broken Data.

Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran

CoRR, 2023

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM).

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Automatic and Precise Data Validation for Machine Learning.

Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Observability for Production Machine Learning Pipelines [Vision].

Shreya Shankar, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science].

Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran

Proc. VLDB Endow., 2022

Operationalizing Machine Learning: An Interview Study.

Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran

CoRR, 2022

Rethinking Streaming Machine Learning Evaluation.

Shreya Shankar, Bernease Herman, Aditya G. Parameswaran

CoRR, 2022

Towards Observability for Machine Learning Pipelines.

Shreya Shankar, Aditya G. Parameswaran

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2020

Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics.

Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar

CoRR, 2020

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.

Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Adversarial Examples that Fool both Human and Computer Vision.

Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein

CoRR, 2018

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018