Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes

20 July 2020

Papers citing "Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes"

10 / 10 papers shown

Title
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 20 2 0 29 Aug 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 33 0 0 13 Apr 2023
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 17 0 22 Aug 2022
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation Zhitong Xiong Haopeng Li Xiao Xiang Zhu 35 35 0 30 Jul 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 23 2 0 05 Jun 2022
Dense Gaussian Processes for Few-Shot Segmentation Joakim Johnander Johan Edstedt M. Felsberg F. Khan Martin Danelljan 59 30 0 07 Oct 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017