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Study of positional encoding approaches for Audio Spectrogram
  Transformers

Study of positional encoding approaches for Audio Spectrogram Transformers

13 October 2021
L. Pepino
Pablo Riera
Luciana Ferrer
    ViT
ArXivPDFHTML

Papers citing "Study of positional encoding approaches for Audio Spectrogram Transformers"

3 / 3 papers shown
Title
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
245
695
0
27 Aug 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,774
0
24 Feb 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and
  Aggregation
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
Yuan Gong
Yu-An Chung
James R. Glass
VLM
99
144
0
02 Feb 2021
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