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Disentangling Neural Architectures and Weights: A Case Study in
  Supervised Classification

Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification

11 September 2020
Nicolo Colombo
Yang Gao
ArXiv (abs)PDFHTML

Papers citing "Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification"

2 / 2 papers shown
Title
MSRS: Training Multimodal Speech Recognition Models from Scratch with
  Sparse Mask Optimization
MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization
Adriana Fernandez-Lopez
Honglie Chen
Pingchuan Ma
Lu Yin
Q. Xiao
Stavros Petridis
Shiwei Liu
Maja Pantic
183
2
0
25 Jun 2024
Adapting by Pruning: A Case Study on BERT
Adapting by Pruning: A Case Study on BERT
Yang Gao
Nicolo Colombo
Wen Wang
113
19
0
07 May 2021
1