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Objective drives the consistency of representational similarity across datasets

Objective drives the consistency of representational similarity across datasets

8 November 2024
Laure Ciernik
Lorenz Linhardt
Marco Morik
Jonas Dippel
Simon Kornblith
Lukas Muttenthaler
ArXivPDFHTML

Papers citing "Objective drives the consistency of representational similarity across datasets"

2 / 2 papers shown
Title
Exploring Causes of Representational Similarity in Machine Learning Models
Exploring Causes of Representational Similarity in Machine Learning Models
Zeyu Michael Li
Hung Anh Vu
Damilola Awofisayo
Emily Wenger
CML
203
0
0
20 May 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
Patrik Reizinger
Randall Balestriero
David Klindt
Wieland Brendel
132
0
0
17 Apr 2025
1