Compressing Recurrent Neural Network with Tensor Train

23 May 2017

Papers citing "Compressing Recurrent Neural Network with Tensor Train"

17 / 17 papers shown

Title
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation Zhengwu Liu Ruijie Zhang Zihan Wang Zi Yang Paul Hovland Bogdan Nicolae Franck Cappello Z. Zhang 49 0 0 16 Feb 2025
Embedding Compression for Text Classification Using Dictionary Screening Jing Zhou Xinru Jing Mu Liu Hansheng Wang 23 0 0 23 Nov 2022
Error Analysis of Tensor-Train Cross Approximation Zhen Qin Alexander Lidiak Zhexuan Gong Gongguo Tang M. Wakin Zhihui Zhu 33 9 0 09 Jul 2022
Canonical convolutional neural networks Lokesh Veeramacheneni Moritz Wolter Reinhard Klein Jochen Garcke 26 3 0 03 Jun 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 68 75 0 28 May 2022
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 29 45 0 06 Oct 2021
Spectral Pruning for Recurrent Neural Networks Takashi Furuya Kazuma Suetake K. Taniguchi Hiroyuki Kusumoto Ryuji Saiin Tomohiro Daimon 27 4 0 23 May 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 19 11 0 11 May 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 26 8 0 11 May 2021
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles Sicong Liu Junzhao Du Kaiming Nan Zimu Zhou Zhangyang Wang Yingyan Lin 32 30 0 08 Jun 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 24 28 0 27 Aug 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 27 36 0 07 Jun 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 34 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 29 132 0 14 Dec 2017
Tensor Train Neighborhood Preserving Embedding Wenqi Wang Vaneet Aggarwal Shuchin Aeron 16 31 0 03 Dec 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016