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Implicit Equivariance in Convolutional Networks

Implicit Equivariance in Convolutional Networks

28 November 2021
Naman Khetan
Tushar Arora
S. U. Rehman
D. K. Gupta
ArXivPDFHTML

Papers citing "Implicit Equivariance in Convolutional Networks"

5 / 5 papers shown
Title
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using
  Image Diffusion Models
Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models
Muhammad Haaris Khan
Hadrien Reynaud
Bernhard Kainz
VGen
DiffM
15
0
0
05 Oct 2024
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Jie Luo
Wenjun Wu
28
4
0
30 Jul 2023
Learning Geometry-aware Representations by Sketching
Learning Geometry-aware Representations by Sketching
Hyun-Dong Lee
Inwoo Hwang
Hyun-Young Go
Won-Seok Choi
Kibeom Kim
Byoung-Tak Zhang
SSL
11
3
0
17 Apr 2023
LieGG: Studying Learned Lie Group Generators
LieGG: Studying Learned Lie Group Generators
A. Moskalev
A. Sepliarskaia
Ivan Sosnovik
A. Smeulders
14
22
0
09 Oct 2022
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
182
1,007
0
26 Mar 2018
1