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Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
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Understanding Generalization in Deep Learning via Tensor Methods
Deep neural networks generalize well on unseen data though the number of...
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Sampling-Free Learning of Bayesian Quantized Neural Networks
Bayesian learning of model parameters in neural networks is important in...
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Tensorized Spectrum Preserving Compression for Neural Networks
Modern neural networks can have tens of millions of parameters, and are ...
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Jiahao Su
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