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Equivariant Architectures for Learning in Deep Weight Spaces

Equivariant Architectures for Learning in Deep Weight Spaces

30 January 2023
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
ArXivPDFHTML

Papers citing "Equivariant Architectures for Learning in Deep Weight Spaces"

12 / 62 papers shown
Title
Permutation Equivariant Neural Functionals
Permutation Equivariant Neural Functionals
Allan Zhou
Kaien Yang
Kaylee Burns
Adriano Cardace
Yiding Jiang
Samuel Sokota
J. Zico Kolter
Chelsea Finn
35
47
0
27 Feb 2023
Text2Model: Text-based Model Induction for Zero-shot Image
  Classification
Text2Model: Text-based Model Induction for Zero-shot Image Classification
Ohad Amosy
Tomer Volk
Eilam Shapira
Eyal Ben-David
Roi Reichart
Gal Chechik
VLM
29
0
0
27 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
52
29
0
29 Sep 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural
  Network Weights
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
52
38
0
29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints
Learning to Learn with Generative Models of Neural Network Checkpoints
William S. Peebles
Ilija Radosavovic
Tim Brooks
Alexei A. Efros
Jitendra Malik
UQCV
75
64
0
26 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
314
0
11 Sep 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI
3DPC
178
139
0
28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
79
185
0
19 Apr 2021
Optimizing Mode Connectivity via Neuron Alignment
Optimizing Mode Connectivity via Neuron Alignment
N. Joseph Tatro
Pin-Yu Chen
Payel Das
Igor Melnyk
P. Sattigeri
Rongjie Lai
MoMe
223
80
0
05 Sep 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Understanding symmetries in deep networks
Understanding symmetries in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
221
42
0
03 Nov 2015
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