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05/29/2023
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics
Transformer-based models, such as BERT and ViT, have achieved state-of-t...
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02/24/2022
Standard Deviation-Based Quantization for Deep Neural Networks
Quantization of deep neural networks is a promising approach that reduce...
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09/28/2018
Learning Recurrent Binary/Ternary Weights
Recurrent neural networks (RNNs) have shown excellent performance in pro...
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01/04/2018
Design and Implementation of a Polar Codes Blind Detection Scheme
In blind detection, a set of candidates has to be decoded within a stric...
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12/11/2017
Multi-Mode Inference Engine for Convolutional Neural Networks
During the past few years, interest in convolutional neural networks (CN...
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11/04/2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
Recently deep neural networks have received considerable attention due t...
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09/29/2015