Summary of Features Are Fate: a Theory Of Transfer Learning in High-dimensional Regression, by Javan Tahir et al.
Features are fate: a theory of transfer learning in high-dimensional regressionby Javan Tahir, Surya Ganguli,…
Features are fate: a theory of transfer learning in high-dimensional regressionby Javan Tahir, Surya Ganguli,…
Non-transferable Pruningby Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi FeiFirst submitted to arxiv on:…
Unsupervised Data Validation Methods for Efficient Model Trainingby Yurii PanivFirst submitted to arxiv on: 10…
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of…
Transfer Learning for a Class of Cascade Dynamical Systemsby Shima Rabiei, Sandipan Mishra, Santiago PaternainFirst…
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Priorby Giang…
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Databy Manuel Brenner, Elias Weber, Georgia…
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articlesby Md. Tarek…
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learningby Xishun Liao, Yifan Liu,…
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning…