research
∙
07/20/2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Despite the empirical success and practical significance of (relational)...
share
research
∙
11/09/2022
Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations
Randomized subspace approximation with "matrix sketching" is an effectiv...
research
∙
10/04/2022
AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation
Sample reweighting is an effective strategy for learning from training d...
research
∙
02/24/2022
Sample Efficiency of Data Augmentation Consistency Regularization
Data augmentation is popular in the training of large neural networks; c...
research
∙
04/13/2021