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Cluster-based pruning techniques for audio data

Cluster-based pruning techniques for audio data

21 September 2023
Boris Bergsma
Marta Brzezinska
O. Yazyev
Milos Cernak
ArXivPDFHTML

Papers citing "Cluster-based pruning techniques for audio data"

3 / 3 papers shown
Title
Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
DD
155
107
0
19 May 2022
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio
  Recognition
PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition
Boris Bergsma
Minhao Yang
Milos Cernak
31
4
0
07 Oct 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
1