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Dynamic Switch Layers For Unsupervised Learning

Dynamic Switch Layers For Unsupervised Learning

5 April 2024
Haiguang Li
Usama Pervaiz
Michal Matuszak
Robert Kamara
Gilles Roux
T. Thormundsson
Joseph Antognini
ArXivPDFHTML

Papers citing "Dynamic Switch Layers For Unsupervised Learning"

8 / 8 papers shown
Title
Gated Compression Layers for Efficient Always-On Models
Gated Compression Layers for Efficient Always-On Models
Haiguang Li
T. Thormundsson
I. Poupyrev
N. Gillian
61
2
0
15 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
441
7,731
0
11 Nov 2021
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
360
6,792
0
13 Jun 2020
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio
  Metric
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric
Michael Chinen
Felicia S. C. Lim
Jan Skoglund
Nikita Gureev
F. O'Gorman
Andrew Hines
60
142
0
20 Apr 2020
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
Heiga Zen
Viet Dang
R. Clark
Yu Zhang
Ron J. Weiss
Ye Jia
Zhiwen Chen
Yonghui Wu
100
951
0
05 Apr 2019
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
117
3,009
0
31 Jul 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
382
1,051
0
10 Feb 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
253
8,832
0
01 Oct 2015
1