Summary of Collaborate to Adapt: Source-free Graph Domain Adaptation Via Bi-directional Adaptation, by Zhen Zhang et al.
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptationby Zhen Zhang, Meihan Liu, Anhui…
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptationby Zhen Zhang, Meihan Liu, Anhui…
Pairwise Alignment Improves Graph Domain Adaptationby Shikun Liu, Deyu Zou, Han Zhao, Pan LiFirst submitted…
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classificationby Yuan WuFirst submitted to arxiv on: 1…
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculumby Hanbing Liu, Jingge Wang, Xuan Zhang, Ye…
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learningby…
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysisby Andrea Maracani, Raffaello…
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learningby Fengming Lin, Yan Xia,…
Unsupervised Domain Adaptation within Deep Foundation Latent Spacesby Dmitry Kangin, Plamen AngelovFirst submitted to arxiv…
Overcoming Saturation in Density Ratio Estimation by Iterated Regularizationby Lukas Gruber, Markus Holzleitner, Johannes Lehner,…
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classificationby Junyao Wang, Mohammad Abdullah Al…