Summary of Graph Domain Adaptation: Challenges, Progress and Prospects, by Boshen Shi et al.
Graph Domain Adaptation: Challenges, Progress and Prospectsby Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu,…
Graph Domain Adaptation: Challenges, Progress and Prospectsby Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu,…
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systemsby Jacob G. Elkins,…
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadeningby Hoyong Kim, Semi Lee, Kangil KimFirst…
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applicationsby Chuhao Deng, Hong-Cheol Choi, Hyunsang Park,…
Don’t Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learningby Andrea…
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedureby T. Tony Cai, Hongming…
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networksby Liang Cheng, Prashant Singh,…
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotationby Shoaib Meraj Sami, Md…
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in…
Transfer Learning in Human Activity Recognition: A Surveyby Sourish Gunesh Dhekane, Thomas PloetzFirst submitted to…