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Learning to Convolve: A Generalized Weight-Tying Approach

Learning to Convolve: A Generalized Weight-Tying Approach

12 May 2019
Nichita Diaconu
Daniel E. Worrall
    MLT
ArXivPDFHTML

Papers citing "Learning to Convolve: A Generalized Weight-Tying Approach"

5 / 5 papers shown
Title
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
29
0
0
07 Oct 2024
Implicit Equivariance in Convolutional Networks
Implicit Equivariance in Convolutional Networks
Naman Khetan
Tushar Arora
S. U. Rehman
D. K. Gupta
31
4
0
28 Nov 2021
Topographic VAEs learn Equivariant Capsules
Topographic VAEs learn Equivariant Capsules
Thomas Anderson Keller
Max Welling
BDL
36
38
0
03 Sep 2021
DISCO: accurate Discrete Scale Convolutions
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
20
31
0
04 Jun 2021
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDL
AI4CE
28
155
0
30 Jun 2020
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