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Equivariance Discovery by Learned Parameter-Sharing

Equivariance Discovery by Learned Parameter-Sharing

7 April 2022
Raymond A. Yeh
Yuan-Ting Hu
M. Hasegawa-Johnson
A. Schwing
    FedML
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Papers citing "Equivariance Discovery by Learned Parameter-Sharing"

4 / 4 papers shown
Title
IMMA: Immunizing text-to-image Models against Malicious Adaptation
IMMA: Immunizing text-to-image Models against Malicious Adaptation
Yijia Zheng
Raymond A. Yeh
17
8
0
30 Nov 2023
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
89
127
0
11 Mar 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
219
13,886
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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