Adaptive manifold for imbalanced transductive few-shot learning

27 April 2023

Papers citing "Adaptive manifold for imbalanced transductive few-shot learning"

8 / 8 papers shown

Title
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Yang Liu Feixiang Liu Jiale Du Xinbo Gao Jungong Han 37 0 0 28 Mar 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 84 0 0 21 Dec 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 48 1 0 19 Aug 2024
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 16 0 0 28 Nov 2023
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 42 55 0 17 Sep 2022
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 24 9 0 05 Jan 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 35 61 0 14 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017