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

4 December 2019

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 Alex Murphy J. Zylberberg Alona Fyshe 67 2 0 02 May 2024
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 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 Thao Nguyen M. Raghu Simon Kornblith 93 13 0 15 Feb 2022
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 Thao Nguyen M. Raghu Simon Kornblith OOD 102 283 0 29 Oct 2020
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