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Learning Compact Recurrent Neural Networks

Learning Compact Recurrent Neural Networks

9 April 2016
Zhiyun Lu
Vikas Sindhwani
Tara N. Sainath
ArXivPDFHTML

Papers citing "Learning Compact Recurrent Neural Networks"

19 / 19 papers shown
Title
Compression of Recurrent Neural Networks using Matrix Factorization
Compression of Recurrent Neural Networks using Matrix Factorization
Lucas Maison
Hélion Marie du Mas des Bourboux
Thomas Courtat
23
0
0
19 Oct 2023
D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes
D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes
Hankyu Jang
Daeyoung Kim
28
24
0
05 Dec 2022
Block-term Tensor Neural Networks
Block-term Tensor Neural Networks
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
24
30
0
10 Oct 2020
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and
  Practice
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
Nir Ailon
Omer Leibovitch
Vineet Nair
15
14
0
17 Jul 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
20
312
0
04 Dec 2019
Image Captioning with Sparse Recurrent Neural Network
Image Captioning with Sparse Recurrent Neural Network
J. Tan
Chee Seng Chan
Joon Huang Chuah
VLM
29
6
0
28 Aug 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression
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
Intrinsically Sparse Long Short-Term Memory Networks
Intrinsically Sparse Long Short-Term Memory Networks
Shiwei Liu
Decebal Constantin Mocanu
Mykola Pechenizkiy
27
9
0
26 Jan 2019
Online Embedding Compression for Text Classification using Low Rank
  Matrix Factorization
Online Embedding Compression for Text Classification using Low Rank Matrix Factorization
Anish Acharya
Rahul Goel
A. Metallinou
Inderjit Dhillon
19
58
0
01 Nov 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
27
40
0
04 Oct 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model
  Shrinking
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Patrick H. Chen
Si Si
Yang Li
Ciprian Chelba
Cho-Jui Hsieh
11
67
0
18 Jun 2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Grow and Prune Compact, Fast, and Accurate LSTMs
Xiaoliang Dai
Hongxu Yin
N. Jha
VLM
SyDa
31
90
0
30 May 2018
Faster Neural Network Training with Approximate Tensor Operations
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman
Kfir Y. Levy
Ido Hakimi
M. Silberstein
29
26
0
21 May 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
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
Trace norm regularization and faster inference for embedded speech
  recognition RNNs
Trace norm regularization and faster inference for embedded speech recognition RNNs
Markus Kliegl
Siddharth Goyal
Kexin Zhao
Kavya Srinet
M. Shoeybi
38
8
0
25 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
H. Li
MQ
35
140
0
15 Sep 2017
Compressing Recurrent Neural Network with Tensor Train
Compressing Recurrent Neural Network with Tensor Train
Andros Tjandra
S. Sakti
Satoshi Nakamura
31
109
0
23 May 2017
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
26
221
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
47
1,099
0
25 Jun 2016
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