Foresee What You Will Learn: Data Augmentation for Domain Generalization
in Non-stationary Environment

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment

19 January 2023

Charles X. Ling

Papers citing "Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment"

10 / 10 papers shown

Title
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention Qiuhao Zeng Jerry Huang Peng Lu Gezheng Xu Boxing Chen Charles X. Ling Boyu Wang 49 1 0 24 Jan 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation Jintao Guo Lei Qi Yinghuan Shi Yang Gao 31 1 0 08 Jan 2025
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation Jingjun Yi Qi Bi Hao Zheng Haolan Zhan Wei Ji Yawen Huang Yuexiang Li Yefeng Zheng 36 8 0 26 Jul 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 48 1 0 10 May 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 14 3 0 22 Sep 2023
Domain-Generalizable Multiple-Domain Clustering Amit Rozner Barak Battash Lior Wolf Ofir Lindenbaum SSL OOD 27 7 0 31 Jan 2023
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 62 264 0 20 Apr 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 215 404 0 12 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,327 0 28 May 2015