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11/02/2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
Data augmentation methods usually apply the same augmentation (or a mix ...
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11/19/2016
Quantized neural network design under weight capacity constraint
The complexity of deep neural network algorithms for hardware implementa...
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09/13/2016
Character-Level Language Modeling with Hierarchical Recurrent Neural Networks
Recurrent neural network (RNN) based character-level language models (CL...
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01/25/2016
Character-Level Incremental Speech Recognition with Recurrent Neural Networks
In real-time speech recognition applications, the latency is an importan...
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12/30/2015
Online Keyword Spotting with a Character-Level Recurrent Neural Network
In this paper, we propose a context-aware keyword spotting model employi...
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12/29/2015
Structured Pruning of Deep Convolutional Neural Networks
Real time application of deep learning algorithms is often hindered by h...
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12/04/2015
Fixed-Point Performance Analysis of Recurrent Neural Networks
Recurrent neural networks have shown excellent performance in many appli...
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11/21/2015
Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification
Connectionist temporal classification (CTC) based supervised sequence tr...
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11/20/2015
Resiliency of Deep Neural Networks under Quantization
The complexity of deep neural network algorithms for hardware implementa...
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03/10/2015