Equivariance and Invariance Inductive Bias for Learning from
Insufficient Data

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

25 July 2022

Hanwang Zhang

Papers citing "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"

10 / 10 papers shown

Title
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 50 0 0 01 Jul 2024
Siamese Vision Transformers are Scalable Audio-visual Learners Yan-Bo Lin Gedas Bertasius 27 5 0 28 Mar 2024
Self-Supervised Learning for Place Representation Generalization across Appearance Changes M. A. Musallam Vincent Gaudillière Djamila Aouada SSL 19 2 0 04 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 167 256 0 10 Nov 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 62 260 0 20 Apr 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 222 2,404 0 04 Jan 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 187 217 0 16 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 888 0 02 Mar 2020