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Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
02/21/2020 ∙ by Jiahao Su, et al. ∙
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Understanding Generalization in Deep Learning via Tensor Methods
Deep neural networks generalize well on unseen data though the number of...
01/14/2020 ∙ by Jingling Li, et al. ∙
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Sampling-Free Learning of Bayesian Quantized Neural Networks
Bayesian learning of model parameters in neural networks is important in...
12/06/2019 ∙ by Jiahao Su, et al. ∙
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Tensorized Spectrum Preserving Compression for Neural Networks
Modern neural networks can have tens of millions of parameters, and are ...
05/25/2018 ∙ by Jiahao Su, et al. ∙
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