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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

* 19 pages, 7 figures, neural architecture search, mean-field 

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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

* 7 pages, 3 figures 

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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

* Accepted at the International Conference on Machine Learning (ICML) 2020 

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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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How can AI Automate End-to-End Data Science?


Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray


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Model Agnostic Contrastive Explanations for Structured Data


May 31, 2019
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri


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A Survey on Neural Architecture Search


May 04, 2019
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati


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Inductive Transfer for Neural Architecture Optimization


Mar 08, 2019
Martin Wistuba, Tejaswini Pedapati


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