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Bishwaranjan Bhattacharjee

Large Scale Neural Architecture Search with Polyharmonic Splines


Nov 20, 2020
Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee


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NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search


Jun 23, 2020
Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee

* 19 pages, 19 Figures, 6 Tables 

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P2L: Predicting Transfer Learning for Images and Semantic Relations


Aug 20, 2019
Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian Belgodere

* 10 pages, 5 figures, 6 tables 

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Improving Transferability of Deep Neural Networks


Jul 30, 2018
Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois, Matthew Hill

* 15 pages, 11 figures, 2 tables, Workshop on Domain Adaptation for Visual Understanding (Joint IJCAI/ECAI/AAMAS/ICML 2018 Workshop) Keywords: deep learning, transfer learning, finetuning, deep neural network, experimental 

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