Free Lunch for Domain Adversarial Training: Environment Label Smoothing

Free Lunch for Domain Adversarial Training: Environment Label Smoothing

1 February 2023

Jian Liang

Liangsheng Wang

Papers citing "Free Lunch for Domain Adversarial Training: Environment Label Smoothing"

8 / 8 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 67 0 0 01 Jul 2024
Domain Similarity-Perceived Label Assignment for Domain Generalized Underwater Object Detection Xisheng Li Wei Li Pinhao Song Mingjun Zhang Jie-Gui Zhou 29 0 0 20 Dec 2023
Co-Teaching for Unsupervised Domain Adaptation and Expansion Kaibin Tian Qijie Wei Xirong Li 29 1 0 04 Apr 2022
Domain Adaptation via Prompt Learning Chunjiang Ge Rui Huang Mixue Xie Zihang Lai Shiji Song Shuang Li Gao Huang VPVLM VLM 36 143 0 14 Feb 2022
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 215 907 0 02 Mar 2020
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 182 7,339 0 05 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 179 9,342 0 28 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,238 0 01 Sep 2014