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Tensor Decomposition for Compressing Recurrent Neural Network

Tensor Decomposition for Compressing Recurrent Neural Network

28 February 2018
Andros Tjandra
S. Sakti
Satoshi Nakamura
ArXivPDFHTML

Papers citing "Tensor Decomposition for Compressing Recurrent Neural Network"

7 / 7 papers shown
Title
A Tensor Decomposition Perspective on Second-order RNNs
A Tensor Decomposition Perspective on Second-order RNNs
M. Lizaire
Michael Rizvi-Martel
Marawan Gamal Abdel Hameed
Guillaume Rabusseau
57
0
0
07 Jun 2024
Compressive Sensing with Tensorized Autoencoder
Compressive Sensing with Tensorized Autoencoder
Rakib Hyder
Ulugbek S. Kamilov
18
0
0
10 Mar 2023
Continuation KD: Improved Knowledge Distillation through the Lens of
  Continuation Optimization
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization
A. Jafari
I. Kobyzev
Mehdi Rezagholizadeh
Pascal Poupart
A. Ghodsi
VLM
28
5
0
12 Dec 2022
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer
  Compression
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu
Ben Keller
Jean Kossaifi
Anima Anandkumar
Brucek Khailany
David Z. Pan
ViT
35
8
0
30 Nov 2022
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
47
6
0
30 Sep 2021
Overcomplete order-3 tensor decomposition, blind deconvolution and
  Gaussian mixture models
Overcomplete order-3 tensor decomposition, blind deconvolution and Gaussian mixture models
Haolin Chen
Luis Rademacher
29
3
0
16 Jul 2020
Recurrent Neural Networks: An Embedded Computing Perspective
Recurrent Neural Networks: An Embedded Computing Perspective
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
45
81
0
23 Jul 2019
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