Improving out-of-distribution generalization via multi-task self-supervised pretraining

30 March 2020

Papers citing "Improving out-of-distribution generalization via multi-task self-supervised pretraining"

9 / 9 papers shown

Title
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi K. Tam OOD 92 0 0 05 Mar 2025
Weight Averaging Improves Knowledge Distillation under Domain Shift Valeriy Berezovskiy Nikita Morozov MoMe 21 1 0 20 Sep 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 19 8 0 22 May 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 45 26 0 24 Mar 2023
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting Shubham Gupta Rahul Kunigal Ravishankar Madhoolika Gangaraju Poojasree Dwarkanath Natarajan Subramanyam 16 0 0 25 Nov 2022
Federated Learning with Domain Generalization Liling Zhang Xinyu Lei Yichun Shi Hongyu Huang Chao Chen FedML OOD 22 54 0 20 Nov 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation C. L. P. Chen Kerstin Hammernik C. Ouyang C. Qin Wenjia Bai Daniel Rueckert OOD 15 20 0 02 Jul 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 66 980 0 03 Mar 2021
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 215 901 0 02 Mar 2020