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The Power of External Memory in Increasing Predictive Model Capacity


Jan 31, 2023
Cenk Baykal, Dylan J Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

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* arXiv admin note: substantial text overlap with arXiv:2301.13310 

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Alternating Updates for Efficient Transformers


Jan 30, 2023
Cenk Baykal, Dylan Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

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Weighted Distillation with Unlabeled Examples


Oct 13, 2022
Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee

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* To appear in NeurIPS 2022 

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Robust Active Distillation


Oct 03, 2022
Cenk Baykal, Khoa Trinh, Fotis Iliopoulos, Gaurav Menghani, Erik Vee

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A Theoretical View on Sparsely Activated Networks


Aug 08, 2022
Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang

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* 18 pages, 7 figures 

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Bandit Sampling for Multiplex Networks


Feb 08, 2022
Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso

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Graph Belief Propagation Networks


Jun 06, 2021
Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson

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Low-Regret Active learning


Apr 06, 2021
Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus

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Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy


Mar 04, 2021
Lucas Liebenwein, Cenk Baykal, Brandon Carter, David Gifford, Daniela Rus

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* Published in MLSys 2021 

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On Coresets for Support Vector Machines


Feb 15, 2020
Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus

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