Meta-learning approaches for few-shot learning: A survey of recent advances

13 March 2023

Papers citing "Meta-learning approaches for few-shot learning: A survey of recent advances"

9 / 9 papers shown

Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 59 8 0 28 Jan 2025
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing Hui Lin Nan Li Pengjuan Yao Kexin Dong Yuhan Guo Danfeng Hong Y. Zhang Congcong Wen 30 4 0 05 Jan 2025
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 42 3 0 20 Jul 2024
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Ju Sun Hong Yu Xianchao Zhang 43 23 0 14 Jun 2022
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition Mengting Chen Xinggang Wang Heng Luo Yifeng Geng Wenyu Liu ObjD 48 8 0 13 Jan 2021
Deep Visual Domain Adaptation G. Csurka OOD 112 185 0 28 Dec 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 185 495 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 163 664 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017