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Efficient Communications in Training Large Scale Neural Networks., , , , , , , and . ACM Multimedia (Thematic Workshops), page 110-116. ACM, (2017)Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition., , , , , , and . AAAI, page 4683-4690. AAAI Press, (2019)Adversarial Noise Layer: Regularize Neural Network By Adding Noise., , , and . CoRR, (2018)Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks., , , , and . NeurIPS, page 2130-2141. (2019)Adversarial Noise Layer: Regularize Neural Network by Adding Noise., , , , and . ICIP, page 909-913. IEEE, (2019)Superneurons: dynamic GPU memory management for training deep neural networks., , , , , , , and . PPoPP, page 41-53. ACM, (2018)Simple and efficient parallelization for probabilistic temporal tensor factorization., , , , , and . IJCNN, page 1-8. IEEE, (2017)Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition., , , , , , and . CoRR, (2018)Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization., , , , , and . CoRR, (2016)Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition., , , , , , and . CVPR, page 9378-9387. Computer Vision Foundation / IEEE Computer Society, (2018)