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06/23/2021
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems
In-Memory Computing (IMC) hardware using Memristive Crossbar Arrays (MCA...
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01/23/2020
Structured Compression and Sharing of Representational Space for Continual Learning
Humans are skilled at learning adaptively and efficiently throughout the...
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12/24/2019
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
The wide adoption of deep neural networks has been accompanied by ever-i...
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06/11/2019
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design
The ever increasing computational cost of Deep Neural Networks (DNN) and...
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06/04/2019
PCA-driven Hybrid network design for enabling Intelligence at the Edge
The recent advent of IOT has increased the demand for enabling AI-based ...
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02/01/2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge
The recent advent of `Internet of Things' (IOT) has increased the demand...
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01/29/2019
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
Memristor crossbars are circuits capable of performing analog matrix-vec...
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12/07/2017
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Deep convolutional neural network (DCNN) based supervised learning is a ...
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08/26/2017
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design
Implementation of Neuromorphic Systems using post Complementary Metal-Ox...
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02/20/2017
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks
Neuromorphic computing using post-CMOS technologies is gaining immense p...
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09/12/2016