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Kavitha Srinivas

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Improving Neural Ranking Models with Traditional IR Methods

Aug 29, 2023
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bulent Yener

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A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction

Aug 07, 2023
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bulent Yener

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LakeBench: Benchmarks for Data Discovery over Data Lakes

Jul 09, 2023
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

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Generalized Planning in PDDL Domains with Pretrained Large Language Models

May 18, 2023
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz

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A Vision for Semantically Enriched Data Science

Mar 02, 2023
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz

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Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Jan 05, 2023
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour

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Exploring Code Style Transfer with Neural Networks

Sep 13, 2022
Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas

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A Survey on Semantics in Automated Data Science

May 16, 2022
Udayan Khurana, Kavitha Srinivas, Horst Samulowitz

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Federated Data Science to Break Down Silos [Vision]

Nov 25, 2021
Essam Mansour, Kavitha Srinivas, Katja Hose

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A Scalable AutoML Approach Based on Graph Neural Networks

Oct 29, 2021
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas

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