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On the Importance of Firth Bias Reduction in Few-Shot Classification

On the Importance of Firth Bias Reduction in Few-Shot Classification

6 October 2021
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-xiong Wang
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Papers citing "On the Importance of Firth Bias Reduction in Few-Shot Classification"

4 / 4 papers shown
Title
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Tianyi Zhou
AI4CE
11
0
0
19 Jun 2023
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
193
316
0
16 Jan 2021
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
664
0
07 Jun 2018
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
234
11,568
0
09 Mar 2017
1