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On the Efficiency of Integrating Self-supervised Learning and
  Meta-learning for User-defined Few-shot Keyword Spotting

On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting

1 April 2022
Wei-Tsung Kao
Yue Wu
Chia-Ping Chen
Zhi-Sheng Chen
Yu-Pao Tsai
Hung-yi Lee
ArXivPDFHTML

Papers citing "On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting"

5 / 5 papers shown
Title
Improving Small Footprint Few-shot Keyword Spotting with Supervision on
  Auxiliary Data
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
Seunghan Yang
Byeonggeun Kim
Kyuhong Shim
Simyoung Chang
31
1
0
31 Aug 2023
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
174
305
0
08 Dec 2020
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
189
288
0
25 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
194
640
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
466
11,715
0
09 Mar 2017
1