Shreya Shankar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Binary Classification

Top Venues

SIGMOD Conference Companion

Proc. VLDB Endow.

Publications

Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR (2024)
Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD (2024)
Shreya Shankar, Aditya G. Parameswaran
Building Reactive Large Language Model Pipelines with Motion. SIGMOD Conference Companion (2024)
Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR (2024)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. CoRR (2024)
Shreya Shankar, J. D. Zamfirescu-Pereira, Björn Hartmann, Aditya G. Parameswaran, Ian Arawjo
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. CoRR (2024)
Madelon Hulsebos, Matteo Interlandi, Shreya Shankar
Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion (2024)
Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR (2024)
Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
Revisiting Prompt Engineering via Declarative Crowdsourcing. CoRR (2023)
Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma
Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM). SIGMOD Conference Companion (2023)
Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
Automatic and Precise Data Validation for Machine Learning. CIKM (2023)
Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
Moving Fast With Broken Data. CoRR (2023)
Shreya Shankar, Aditya G. Parameswaran
Towards Observability for Production Machine Learning Pipelines [Vision]. Proc. VLDB Endow. 15 (13) (2022)
Shreya Shankar, Aditya G. Parameswaran
Towards Observability for Machine Learning Pipelines. CIDR (2022)
Shreya Shankar, Stephen Macke, Sarah Chasins, Andrew Head, Aditya G. Parameswaran
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15 (13) (2022)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
Operationalizing Machine Learning: An Interview Study. CoRR (2022)
Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
Rethinking Streaming Machine Learning Evaluation. CoRR (2022)
Shreya Shankar, Aditya Parameswaran
Towards Observability for Machine Learning Pipelines. CoRR (2021)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS (2020)
Rohit Jammula, Vishnu Rajan Tejus, Shreya Shankar
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics. CoRR (2020)
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. NeurIPS (2018)
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
Adversarial Examples that Fool both Human and Computer Vision. CoRR (2018)