2 papers
cs.LG2021
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
Xianglin Yang, Yun Lin, Ruofan Liu +4
Understanding how the predictions of deep learning models are formed during the training process is crucial to improve model performance and fix model defects, especially when we n…
cs.LG2020
Novelty-Prepared Few-Shot Classification
Chao Wang, Ruo-Ze Liu, Han-Jia Ye +1
Few-shot classification algorithms can alleviate the data scarceness issue, which is vital in many real-world problems, by adopting models pre-trained from abundant data in other d…