Transfer Learning
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang
Neural Information Processing Systems http://nips.cc/
On the Value of Target Data in Transfer Learning
Neural Information Processing Systems http://nips.cc/
cf6501108fced72ee5c47e2151c4e153-Paper-Conference.pdf
Thus, most meta and transfer-learning HPO methods [7-16] consider a restrictive setting where all tasks must share the same set of hyperparameters so that the input data can be represented as fixed-sizedvectors.
Online Multitask Learning with Long-Term Memory
We introduce a novel online multitask setting.
Transfer Learning with Affine Model Transformation
Supervised transfer learning has received considerable attention due to its potential to boost the predictive power of machine learning in scenarios where data are scarce.