Transfer Learning on Transformers for Building Energy Consumption Forecasting – A Comparative Studyby Robert Spencer,…
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Predictionby Haoyu He, Haozheng Luo, Qi…
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuningby Evelyn Ma, Chao Pan, Rasoul…
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonarby Aayush Agrawal, Aniruddh Sikdar,…
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulatorsby…
Tracking Universal Features Through Fine-Tuning and Model Mergingby Niels Horn, Desmond ElliottFirst submitted to arxiv…
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modelingby Adrienne M.…
TL-PCA: Transfer Learning of Principal Component Analysisby Sharon Hendy, Yehuda DarFirst submitted to arxiv on:…
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Frameworkby Zhengwei Yang, Yuke Li, Qiang Sun, Basura…
Deep Transfer Learning: Model Framework and Error Analysisby Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry…