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Kartikeya Bhardwaj

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ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks

Sep 26, 2023
Kartikeya Bhardwaj, Hsin-Pai Cheng, Sweta Priyadarshi, Zhuojin Li

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Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities

Jul 05, 2023
Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu

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TIPS: Topologically Important Path Sampling for Anytime Neural Networks

May 13, 2023
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu

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ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients

Jan 26, 2023
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu

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Restructurable Activation Networks

Aug 17, 2022
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul Whatmough, Danny Loh

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Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge

Dec 29, 2021
Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul Whatmough, Danny Loh

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Collapsible Linear Blocks for Super-Efficient Super Resolution

Mar 17, 2021
Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas, Danny Loh

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New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design

Aug 25, 2020
Kartikeya Bhardwaj, Wei Chen, Radu Marculescu

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FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

Apr 07, 2020
Wei Chen, Kartikeya Bhardwaj, Radu Marculescu

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EdgeAI: A Vision for Deep Learning in IoT Era

Oct 23, 2019
Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu

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