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04/25/2023
Test-Time Adaptation with Perturbation Consistency Learning
Currently, pre-trained language models (PLMs) do not cope well with the ...
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03/20/2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Recent advances in deep learning have provided procedures for learning o...
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05/28/2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Many well-trained Convolutional Neural Network(CNN) models have now been...
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04/23/2019
