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Kaushik Roy

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TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data

Jan 21, 2022
Isha Garg, Manish Nagaraj, Kaushik Roy

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Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift

Dec 20, 2021
Amitangshu Mukherjee, Isha Garg, Kaushik Roy

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L4-Norm Weight Adjustments for Converted Spiking Neural Networks

Nov 17, 2021
Jason Allred, Kaushik Roy

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Low Precision Decentralized Distributed Training with Heterogeneous Data

Nov 17, 2021
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy

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BERMo: What can BERT learn from ELMo?

Oct 18, 2021
Sangamesh Kodge, Kaushik Roy

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One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency

Oct 01, 2021
Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy

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On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars

Sep 19, 2021
Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy

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RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning

Sep 16, 2021
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy

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Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing

Sep 14, 2021
Bing Han, Cheng Wang, Kaushik Roy

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Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems

Sep 14, 2021
Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy

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