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07/11/2023
Memorization Through the Lens of Curvature of Loss Function Around Samples
Neural networks are overparametrized and easily overfit the datasets the...
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05/08/2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Decentralized learning enables the training of deep learning models over...
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03/31/2023
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
After the pandemic, artificial intelligence (AI) powered support for men...
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11/19/2022
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
Standard frame-based algorithms fail to retrieve accurate segmentation m...
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09/19/2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network
Model Predictive Control (MPC) is a state-of-the-art (SOTA) control tech...
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09/16/2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
Present-day Deep Reinforcement Learning (RL) systems show great promise ...
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08/31/2018
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars
Deep Neural Networks (DNNs) are widely used to perform machine learning ...
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02/15/2018
