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The effect of task and training on intermediate representations in
  convolutional neural networks revealed with modified RV similarity analysis

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis

4 December 2019
J. Thompson
Yoshua Bengio
Marc Schoenwiesner
ArXiv (abs)PDFHTML

Papers citing "The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis"

7 / 7 papers shown
Title
Correcting Biased Centered Kernel Alignment Measures in Biological and
  Artificial Neural Networks
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
Alex Murphy
J. Zylberberg
Alona Fyshe
67
2
0
02 May 2024
The Tunnel Effect: Building Data Representations in Deep Neural Networks
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Wojciech Masarczyk
M. Ostaszewski
Ehsan Imani
Razvan Pascanu
Piotr Milo's
Tomasz Trzciñski
90
25
0
31 May 2023
Successes and critical failures of neural networks in capturing
  human-like speech recognition
Successes and critical failures of neural networks in capturing human-like speech recognition
Federico Adolfi
J. Bowers
David Poeppel
UQCV
86
22
0
06 Apr 2022
On the Origins of the Block Structure Phenomenon in Neural Network
  Representations
On the Origins of the Block Structure Phenomenon in Neural Network Representations
Thao Nguyen
M. Raghu
Simon Kornblith
93
13
0
15 Feb 2022
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
124
108
0
23 Mar 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural
  Network Representations Vary with Width and Depth
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Thao Nguyen
M. Raghu
Simon Kornblith
OOD
102
283
0
29 Oct 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised
  Learning
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
Colorado Reed
Sean L. Metzger
A. Srinivas
Trevor Darrell
Kurt Keutzer
SSL
91
49
0
16 Sep 2020
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