Tensor-Train Recurrent Neural Networks for Video Classification

6 July 2017

Papers citing "Tensor-Train Recurrent Neural Networks for Video Classification"

21 / 21 papers shown

Title
A Tensor Decomposition Perspective on Second-order RNNs M. Lizaire Michael Rizvi-Martel Marawan Gamal Abdel Hameed Guillaume Rabusseau 36 0 0 07 Jun 2024
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 33 1 0 13 Mar 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 43 19 0 22 Jan 2023
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks Nelly Elsayed Zag ElSayed Anthony Maida 24 0 0 12 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 16 6 0 05 Dec 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 28 50 0 08 Jun 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing Jun Qi Chao-Han Huck Yang Pin-Yu Chen Javier Tejedor 25 16 0 11 Mar 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition Jun Qi Javier Tejedor 22 4 0 11 Jan 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 23 8 0 03 Dec 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 19 128 0 26 Oct 2021
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees Osman Asif Malik 28 14 0 14 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 24 44 0 06 Oct 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 16 11 0 11 May 2021
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training Saurabh Sahu Palash Goyal ViT 27 2 0 18 Mar 2021
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence Meng Ding Tingzhu Huang Xile Zhao Tian-Hui Ma MQ 36 24 0 14 May 2020
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition Miao Yin Siyu Liao Xiao-Yang Liu Xiaodong Wang Bo Yuan 29 24 0 09 May 2020
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression Genta Indra Winata Andrea Madotto Jamin Shin Elham J. Barezi Pascale Fung 19 28 0 27 Aug 2019
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan V. Oseledets GNN 14 25 0 30 Jan 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 18 41 0 04 Jul 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 16 132 0 14 Dec 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 227 7,903 0 13 Jun 2015