Tianjun Ke

Accelerating Convergence in Bayesian Few-Shot Classification

2024 · arXiv (Cornell University)

Bayesian few-shot classification has been a focal point in the field of few-shot learning. This paper seamlessly integrates mirror descent-based variational inference into Gaussian process-based few-shot classification, addressing the challenge of non-conjugate inference. By leveraging …