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Worst Case Matters for Few-Shot Recognition

Worst Case Matters for Few-Shot Recognition

13 March 2022
Minghao Fu
Yunhao Cao
Jianxin Wu
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Papers citing "Worst Case Matters for Few-Shot Recognition"

6 / 6 papers shown
Title
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
29
1
0
06 Mar 2024
Instance-based Max-margin for Practical Few-shot Recognition
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
40
2
0
27 May 2023
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
219
323
0
16 Jan 2021
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised
  Performance
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
22
8
0
16 Jun 2020
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
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
389
11,700
0
09 Mar 2017
1