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Input-independent Attention Weights Are Expressive Enough: A Study of
  Attention in Self-supervised Audio Transformers

Input-independent Attention Weights Are Expressive Enough: A Study of Attention in Self-supervised Audio Transformers

9 June 2020
Tsung-Han Wu
Chun-Chen Hsieh
Yen-Hao Chen
Po-Han Chi
Hung-yi Lee
ArXivPDFHTML

Papers citing "Input-independent Attention Weights Are Expressive Enough: A Study of Attention in Self-supervised Audio Transformers"

1 / 1 papers shown
Title
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
238
578
0
12 Mar 2020
1