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01/23/2023
Efficient Training Under Limited Resources
Training time budget and size of the dataset are among the factors affec...
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12/22/2022
Training Integer-Only Deep Recurrent Neural Networks
Recurrent neural networks (RNN) are the backbone of many text and speech...
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10/25/2021
Demystifying and Generalizing BinaryConnect
BinaryConnect (BC) and its many variations have become the de facto stan...
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09/20/2021
iRNN: Integer-only Recurrent Neural Network
Recurrent neural networks (RNN) are used in many real-world text and spe...
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04/29/2020
Batch Normalization in Quantized Networks
Implementation of quantized neural networks on computing hardware leads ...
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09/26/2019
Smart Ternary Quantization
Neural network models are resource hungry. Low bit quantization such as ...
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09/18/2019
A Study on Binary Neural Networks Initialization
Initialization plays a crucial role in training neural models. Binary Ne...
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09/10/2019
Differentiable Mask Pruning for Neural Networks
Pruning of neural networks is one of the well-known and promising model ...
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01/18/2019
