Poster · Sydney

D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces

Name: D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
Start: 2026-12-10T10:00:00+11:00
End: 2026-12-10T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Thu 10 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 5
Authors: Ruoqi Wang, Haitao Wang, Shaojie Guo, Qiong Luo
Organisations: Hong Kong University of Science and Technology (Guangzhou), Sun Yat-sen University, East China Normal University, Hong Kong University of Science and Technology
QRS classification: Safety, fairness and privacy, Representation and transfer learning

Open in schedule Official page