2 papers
cs.LG2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning
Weihao Jiang, Guodong Liu, Di He +1
Few-shot learning, a challenging task in machine learning, aims to learn a classifier adaptable to recognize new, unseen classes with limited labeled examples. Meta-learning has em…
math.NA2024
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Haoran Deng, Yang Yang, Jiahe Li +3
Updating a truncated Singular Value Decomposition (SVD) is crucial in representation learning, especially when dealing with large-scale data matrices that continuously evolve in pr…