9 citations · 16 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CV2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo, Shuo Wang, Chengliang Dai +4
Supervised deep learning requires a large amount of training samples with annotations (e.g. label class for classification task, pixel- or voxel-wised label map for segmentation ta…
cs.LG2020
Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification
Kaichen Zhou, Shiji Song, Gao Huang +2
In large-scale classification problems, the data set always be faced with frequent updates when a part of the data is added to or removed from the original data set. In this case,…