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SapAugment: Learning A Sample Adaptive Policy for Data Augmentation

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation

2 November 2020
Ting-Yao Hu
A. Shrivastava
Jen-Hao Rick Chang
H. Koppula
Stefan Braun
Kyuyeon Hwang
Ozlem Kalinli
Oncel Tuzel
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Papers citing "SapAugment: Learning A Sample Adaptive Policy for Data Augmentation"

4 / 4 papers shown
Title
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
70
5
0
13 Mar 2024
G-Augment: Searching for the Meta-Structure of Data Augmentation
  Policies for ASR
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR
Gary Wang
Ekin D.Cubuk
Andrew Rosenberg
Shuyang Cheng
Ron J. Weiss
Bhuvana Ramabhadran
Pedro J. Moreno
Quoc V. Le
Daniel S. Park
30
1
0
19 Oct 2022
A Policy-based Approach to the SpecAugment Method for Low Resource E2E
  ASR
A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR
Rui Li
Guodong Ma
Dexin Zhao
Ranran Zeng
Xiaoyu Li
Haolin Huang
29
2
0
16 Oct 2022
SpliceOut: A Simple and Efficient Audio Augmentation Method
SpliceOut: A Simple and Efficient Audio Augmentation Method
Arjit Jain
Pranay Reddy Samala
Deepak Mittal
P. Jyothi
M. Singh
28
10
0
30 Sep 2021
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