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On Geometric Structure of Activation Spaces in Neural Networks

On Geometric Structure of Activation Spaces in Neural Networks

2 April 2019
Yuting Jia
Haiwen Wang
Shuo Shao
Huan Long
Yunsong Zhou
Xinbing Wang
    3DPC
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Papers citing "On Geometric Structure of Activation Spaces in Neural Networks"

2 / 2 papers shown
Title
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
41
14
0
28 Oct 2021
An Investigation of the Weight Space to Monitor the Training Progress of
  Neural Networks
An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks
Konstantin Schurholt
Damian Borth
32
3
0
18 Jun 2020
1