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Understanding symmetries in deep networks

Understanding symmetries in deep networks

3 November 2015
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
ArXiv (abs)PDFHTML

Papers citing "Understanding symmetries in deep networks"

28 / 28 papers shown
Title
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE
Andrei Chernov
Oleg Novitskij
208
1
0
24 Feb 2025
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks
Edan Kinderman
Itay Hubara
Haggai Maron
Daniel Soudry
MoMe
150
2
0
02 Oct 2024
Monomial Matrix Group Equivariant Neural Functional Networks
Monomial Matrix Group Equivariant Neural Functional Networks
Hoang V. Tran
Thieu N. Vo
Tho H. Tran
An T. Nguyen
Tan M. Nguyen
200
9
0
18 Sep 2024
Variational Inference Failures Under Model Symmetries: Permutation
  Invariant Posteriors for Bayesian Neural Networks
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
145
4
0
10 Aug 2024
Scale Equivariant Graph Metanetworks
Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos
Giorgos Bouritsas
Yannis Panagakis
181
13
0
15 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
184
9
0
30 May 2024
Unification of Symmetries Inside Neural Networks: Transformer,
  Feedforward and Neural ODE
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
Koji Hashimoto
Yuji Hirono
Akiyoshi Sannai
AI4CE
106
10
0
04 Feb 2024
Testing RadiX-Nets: Advances in Viable Sparse Topologies
Testing RadiX-Nets: Advances in Viable Sparse Topologies
Kevin Kwak
Zack West
Hayden Jananthan
J. Kepner
51
1
0
06 Nov 2023
Exploring the Complexity of Deep Neural Networks through Functional
  Equivalence
Exploring the Complexity of Deep Neural Networks through Functional Equivalence
Guohao Shen
138
5
0
19 May 2023
Equivariant Architectures for Learning in Deep Weight Spaces
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
179
77
0
30 Jan 2023
On the Symmetries of Deep Learning Models and their Internal
  Representations
On the Symmetries of Deep Learning Models and their Internal Representations
Charles Godfrey
Davis Brown
Tegan H. Emerson
Henry Kvinge
160
51
0
27 May 2022
Rethinking Multidimensional Discriminator Output for Generative
  Adversarial Networks
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
M. Dai
Haibin Hang
A. Srivastava
90
3
0
08 Sep 2021
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based
  Deep Auto-Encoder
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
Dr. Saddam Hussain Khan
Asifullah Khan
Yeon Soo Lee
Mehdi Hassan
Woong-Kyo Jeong
81
26
0
26 Aug 2021
On Stein Variational Neural Network Ensembles
On Stein Variational Neural Network Ensembles
Francesco DÁngelo
Vincent Fortuin
F. Wenzel
UQCVBDL
123
29
0
20 Jun 2021
Noether's Learning Dynamics: Role of Symmetry Breaking in Neural
  Networks
Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka
D. Kunin
147
31
0
06 May 2021
Neural Teleportation
Neural Teleportation
M. Armenta
Thierry Judge
Nathan Painchaud
Youssef Skandarani
Carl Lemaire
Gabriel Gibeau Sanchez
Philippe Spino
Pierre-Marc Jodoin
115
19
0
02 Dec 2020
The Representation Theory of Neural Networks
The Representation Theory of Neural Networks
M. Armenta
Pierre-Marc Jodoin
165
33
0
23 Jul 2020
Evolution of Image Segmentation using Deep Convolutional Neural Network:
  A Survey
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
F. Sultana
Abu Sufian
P. Dutta
SSeg
183
265
0
13 Jan 2020
Leader Stochastic Gradient Descent for Distributed Training of Deep
  Learning Models: Extension
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
Yunfei Teng
Wenbo Gao
F. Chalus
A. Choromańska
Shiqian Ma
Adrian Weller
188
14
0
24 May 2019
Meta-Learning Mean Functions for Gaussian Processes
Meta-Learning Mean Functions for Gaussian Processes
Vincent Fortuin
Heiko Strathmann
Gunnar Rätsch
BDLFedMLMLT
188
32
0
23 Jan 2019
Improving Optimization for Models With Continuous Symmetry Breaking
Improving Optimization for Models With Continuous Symmetry Breaking
Kushagra Pandey
Stephan Mandt
DRL
100
15
0
08 Mar 2018
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
144
94
0
27 Sep 2017
Are Saddles Good Enough for Deep Learning?
Are Saddles Good Enough for Deep Learning?
Adepu Ravi Sankar
V. Balasubramanian
106
5
0
07 Jun 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
257
792
0
15 Mar 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
467
80
0
26 May 2016
Searching for Topological Symmetry in Data Haystack
Searching for Topological Symmetry in Data Haystack
K. Roy
Anh Tong
Jaesik Choi
56
0
0
11 Mar 2016
Symmetry-invariant optimization in deep networks
Symmetry-invariant optimization in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
ODL
124
34
0
05 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.4K
16,223
0
02 Nov 2015
1