2 papers
cs.CV2025
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler, Wei-Cheng Lai, Bjoern Eskofier +3
The correct interpretation of convolutional models is a hard problem for time series data. While saliency methods promise visual validation of predictions for image and language pr…
cs.LG2025
Automatic Cross-Domain Transfer Learning for Linear Regression
Xinshun Liu, He Xin, Mao Hui +3
Transfer learning research attempts to make model induction transferable across different domains. This method assumes that specific information regarding to which domain each inst…