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Transferred Discrepancy: Quantifying the Difference Between
  Representations

Transferred Discrepancy: Quantifying the Difference Between Representations

24 July 2020
Yunzhen Feng
Runtian Zhai
Di He
Liwei Wang
Bin Dong
    DRL
ArXivPDFHTML

Papers citing "Transferred Discrepancy: Quantifying the Difference Between Representations"

3 / 3 papers shown
Title
Identifying and interpreting non-aligned human conceptual
  representations using language modeling
Identifying and interpreting non-aligned human conceptual representations using language modeling
Wanqian Bao
Uri Hasson
54
0
0
10 Mar 2024
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
58
64
0
10 May 2023
Deconfounded Representation Similarity for Comparison of Neural Networks
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui
Yogesh Kumar
Pekka Marttinen
Samuel Kaski
CML
35
13
0
31 Jan 2022
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