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Meta-Learned Confidence for Few-shot Learning

Meta-Learned Confidence for Few-shot Learning

27 February 2020
Seong Min Kye
Haebeom Lee
Hoirin Kim
Sung Ju Hwang
ArXivPDFHTML

Papers citing "Meta-Learned Confidence for Few-shot Learning"

6 / 6 papers shown
Title
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
22
0
0
03 Sep 2022
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level
  Strategy
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Junying Huang
Fan Chen
Keze Wang
Liang Lin
Dongyu Zhang
31
8
0
08 Nov 2021
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
27
6
0
02 Dec 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
631
0
17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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