Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervisionby Hao Dong, Eleni Chatzi, Olga FinkFirst…
Pairwise Difference Learning for Classificationby Mohamed Karim Belaid, Maximilian Rabus, Eyke HüllermeierFirst submitted to arxiv…
MetaFollower: Adaptable Personalized Autonomous Car Followingby Xianda Chen, Kehua Chen, Meixin Zhu, Yang, Shaojie Shen,…
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph…
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Databy Zexing Xu, Linjun Zhang,…
Constrained Meta Agnostic Reinforcement Learningby Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius ZoellnerFirst submitted…
In-Context In-Context Learning with Transformer Neural Processesby Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E.…
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learningby Hansi Yang, James T. KwokFirst submitted to arxiv on: 19…
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offsby Haifeng Wen, Hong Xing, Osvaldo…
Stacking for Probabilistic Short-term Load Forecastingby Grzegorz DudekFirst submitted to arxiv on: 15 Jun 2024CategoriesMain:…