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Transductive Few-Shot Learning: Clustering is All You Need?

Transductive Few-Shot Learning: Clustering is All You Need?

16 June 2021
Imtiaz Masud Ziko
Malik Boudiaf
Jose Dolz
Eric Granger
Ismail Ben Ayed
ArXivPDFHTML

Papers citing "Transductive Few-Shot Learning: Clustering is All You Need?"

5 / 5 papers shown
Title
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
19
12
0
13 Nov 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
24
32
0
25 Mar 2022
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard E. Turner
59
89
0
06 Mar 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
202
629
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
281
11,677
0
09 Mar 2017
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