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Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
Optical neural networks (ONNs) have demonstrated record-breaking potenti...
12/21/2020 ∙ by Jiaqi Gu, et al. ∙
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Extending Implicit Discourse Relation Recognition to the PDTB-3
The PDTB-3 contains many more Implicit discourse relations than the prev...
10/13/2020 ∙ by Li Liang, et al. ∙
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Reducing Quantity Hallucinations in Abstractive Summarization
It is well-known that abstractive summaries are subject to hallucination...
09/28/2020 ∙ by Zheng Zhao, et al. ∙
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Deep State-Space Gaussian Processes
This paper is concerned with a state-space approach to deep Gaussian pro...
08/11/2020 ∙ by Zheng Zhao, et al. ∙
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Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
The paper is concerned with non-linear Gaussian filtering and smoothing ...
01/08/2020 ∙ by Zheng Zhao, et al. ∙
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Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Objective: The aim of this study is to develop an automated classificati...
09/06/2019 ∙ by Ali Bahrami Rad, et al. ∙
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Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection
In this article, we propose a novel ECG classification framework for atr...
12/12/2018 ∙ by Zheng Zhao, et al. ∙
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Safe Screening With Variational Inequalities and Its Application to LASSO
Sparse learning techniques have been routinely used for feature selectio...
07/29/2013 ∙ by Jun Liu, et al. ∙
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