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03/30/2022
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE
Variational auto-encoder(VAE) is an effective neural network architectur...
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12/10/2020
Recurrence of Optimum for Training Weight and Activation Quantized Networks
Deep neural networks (DNNs) are quantized for efficient inference on res...
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11/23/2020
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
Quantized or low-bit neural networks are attractive due to their inferen...
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02/28/2020