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07/17/2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
In this paper, we introduce a new reinforcement learning (RL) based neur...
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01/07/2020
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis
Domain adaptation aims at improving model performance by leveraging the ...
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11/17/2019
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Non-intrusive load monitoring addresses the challenging task of decompos...
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05/20/2019
Semi-Supervised Learning by Augmented Distribution Alignment
In this work, we propose a simple yet effective semi-supervised learning...
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05/15/2019
Domain Adaptive Transfer Learning for Fault Diagnosis
Thanks to digitization of industrial assets in fleets, the ambitious goa...
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06/06/2018
Convolutional Sequence to Sequence Non-intrusive Load Monitoring
A convolutional sequence to sequence non-intrusive load monitoring model...
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05/30/2018
Short-term Load Forecasting with Deep Residual Networks
We present in this paper a model for forecasting short-term power loads ...
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02/13/2018
Substation Signal Matching with a Bagged Token Classifier
Currently, engineers at substation service providers match customer data...
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10/23/2017
