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Efficient Communications in Training Large Scale Neural Networks., , , , , , , and . ACM Multimedia (Thematic Workshops), page 110-116. ACM, (2017)Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization., , , , , and . CoRR, (2016)Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition., , , , , , and . CoRR, (2018)Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition., , , , , , and . CVPR, page 9378-9387. IEEE Computer Society, (2018)SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks., , , , , , , and . CoRR, (2018)Adversarial Noise Layer: Regularize Neural Network by Adding Noise., , , , and . ICIP, page 909-913. IEEE, (2019)Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition., , , , , , and . CoRR, (2017)BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition., , , , , and . CoRR, (2017)Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition., , , , , , and . AAAI, page 4683-4690. AAAI Press, (2019)TensorD: A tensor decomposition library in TensorFlow., , , and . Neurocomputing, (2018)