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Efficient Communications in Training Large Scale Neural Networks., , , , , , , и . ACM Multimedia (Thematic Workshops), стр. 110-116. ACM, (2017)Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition., , , , , , и . CoRR, (2017)BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition., , , , , и . CoRR, (2017)Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition., , , , , , и . AAAI, стр. 4683-4690. AAAI Press, (2019)Adversarial Noise Layer: Regularize Neural Network by Adding Noise., , , , и . ICIP, стр. 909-913. IEEE, (2019)Simple and efficient parallelization for probabilistic temporal tensor factorization., , , , , и . IJCNN, стр. 1-8. IEEE, (2017)Superneurons: dynamic GPU memory management for training deep neural networks., , , , , , , и . PPoPP, стр. 41-53. ACM, (2018)Adversarial Noise Layer: Regularize Neural Network By Adding Noise., , , и . CoRR, (2018)TensorD: A tensor decomposition library in TensorFlow., , , и . Neurocomputing, (2018)Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks., , , , и . NeurIPS, стр. 2130-2141. (2019)