Learning Compact Recurrent Neural Networks with Block-Term Tensor
Decomposition

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

14 December 2017

Papers citing "Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition"

17 / 17 papers shown

Title
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 50 3 0 03 Oct 2024
A Tensor Decomposition Perspective on Second-order RNNs M. Lizaire Michael Rizvi-Martel Marawan Gamal Abdel Hameed Guillaume Rabusseau 52 0 0 07 Jun 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 55 19 0 22 Jan 2023
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition Yu Gong Miao Yin Lingyi Huang Chunhua Deng Yang Sui Bo Yuan 24 6 0 05 Dec 2022
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness Huy Phan Miao Yin Yang Sui Bo Yuan S. Zonouz AAML GNN 32 8 0 04 Dec 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 46 3 0 22 Aug 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Y. Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 40 11 0 28 May 2022
TensoRF: Tensorial Radiance Fields Anpei Chen Zexiang Xu Andreas Geiger Jingyi Yu Hao Su 38 1,249 0 17 Mar 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees Osman Asif Malik 36 14 0 14 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 47 6 0 30 Sep 2021
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition Ayush Srivastava Oshin Dutta A. Prathosh Sumeet Agarwal Jigyasa Gupta 12 8 0 03 Oct 2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice Nir Ailon Omer Leibovitch Vineet Nair 15 14 0 17 Jul 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition Miao Yin Siyu Liao Xiao-Yang Liu Xiaodong Wang Bo Yuan 40 24 0 09 May 2020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks Zhonghui You Kun Yan Jinmian Ye Meng Ma Ping Wang 3DPC 16 246 0 18 Sep 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Y. Pan Jing Xu Maolin Wang Jinmian Ye Fei Wang Kun Bai Zenglin Xu MQ 10 104 0 19 Nov 2018