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Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.

, , , , and . CoRR, (2018)

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Design of Kernels in Convolutional Neural Networks for Image Classification., , and . CoRR, (2015)Application-Oblivious L7 Parsing Using Recurrent Neural Networks., , , , , , , and . IEEE/ACM Trans. Netw., 28 (5): 2009-2022 (2020)On the Memory Mechanism of Tensor-Power Recurrent Models., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3682-3690. PMLR, (2021)Feature Quantization for Defending Against Distortion of Images., , , , and . CVPR, page 7957-7966. Computer Vision Foundation / IEEE Computer Society, (2018)Representation Disentanglement in Generative Models with Contrastive Learning., , and . WACV, page 1531-1540. IEEE, (2023)Design of Kernels in Convolutional Neural Networks for Image Classification., , and . ECCV (7), volume 9911 of Lecture Notes in Computer Science, page 51-66. Springer, (2016)Are we pruning the correct channels in image-to-image translation models?, , and . BMVC, page 551. BMVA Press, (2022)Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling., , , , and . ICASSP, page 3022-3026. IEEE, (2019)Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling., , , , and . CoRR, (2018)Linear Discriminant Generative Adversarial Networks., , and . CoRR, (2017)