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Tejaswini Pedapati

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From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers

Feb 02, 2024
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen

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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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MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning

Feb 05, 2023
Krishnateja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh Iyer

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Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

Jan 14, 2022
Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao

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Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents

Dec 17, 2021
Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

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Building Accurate Simple Models with Multihop

Sep 14, 2021
Amit Dhurandhar, Tejaswini Pedapati

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Learning to Rank Learning Curves

Jun 05, 2020
Martin Wistuba, Tejaswini Pedapati

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Learning Global Transparent Models from Local Contrastive Explanations

Feb 19, 2020
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar

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