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Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...
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Neural Architecture Search For Keyword Spotting
Deep neural networks have recently become a popular solution to keyword ...
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Generative Feature Replay For Class-Incremental Learning
Humans are capable of learning new tasks without forgetting previous one...
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Semantic Drift Compensation for Class-Incremental Learning
Class-incremental learning of deep networks sequentially increases the n...
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RNAS: Architecture Ranking for Powerful Networks
Neural Architecture Search (NAS) is attractive for automatically produci...
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ReNAS:Relativistic Evaluation of Neural Architecture Search
An effective and efficient architecture performance evaluation scheme is...
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Shangling Jui
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