ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.04663
  4. Cited By
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"

7 / 7 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
31
0
0
07 Oct 2024
Deep Neural Networks with Efficient Guaranteed Invariances
Deep Neural Networks with Efficient Guaranteed Invariances
M. Rath
A. P. Condurache
18
4
0
02 Mar 2023
Improving the Sample-Complexity of Deep Classification Networks with
  Invariant Integration
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
M. Rath
A. P. Condurache
25
8
0
08 Feb 2022
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
44
38
0
03 Sep 2021
DISCO: accurate Discrete Scale Convolutions
DISCO: accurate Discrete Scale Convolutions
Ivan Sosnovik
A. Moskalev
A. Smeulders
26
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
31
155
0
30 Jun 2020
1