2 citations · 5 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 2 cited
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan, Guoliang Kang, Runqi Wang +4
Robust Model-Agnostic Meta-Learning (MAML) is usually adopted to train a meta-model which may fast adapt to novel classes with only a few exemplars and meanwhile remain robust to a…
cs.CV2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan, Jinhu Lü, Tian Wang +5
Energy-based latent variable models (EBLVMs) are more expressive than conventional energy-based models. However, its potential on visual tasks are limited by its training process b…