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Episodic-free Task Selection for Few-shot Learning

Episodic-free Task Selection for Few-shot Learning

31 January 2024
Tao Zhang
ArXivPDFHTML

Papers citing "Episodic-free Task Selection for Few-shot Learning"

19 / 19 papers shown
Title
Few-Shot Classification with Contrastive Learning
Few-Shot Classification with Contrastive Learning
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODD
MQ
88
57
0
17 Sep 2022
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
71
187
0
22 Aug 2021
On Episodes, Prototypical Networks, and Few-shot Learning
On Episodes, Prototypical Networks, and Few-shot Learning
Steinar Laenen
Luca Bertinetto
69
99
0
17 Dec 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning Theory
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
87
10
0
05 Oct 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
145
4,537
0
23 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
386
1,977
0
11 Apr 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
200
346
0
09 Mar 2020
Prototype Rectification for Few-Shot Learning
Prototype Rectification for Few-Shot Learning
Jinlu Liu
Liang Song
Yongqiang Qin
72
248
0
25 Nov 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
254
639
0
17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
300
644
0
19 Sep 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
69
170
0
10 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
83
1,814
0
10 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
81
293
0
03 Apr 2019
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
82
930
0
21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,130
0
25 Apr 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
65
1,283
0
02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
292
4,049
0
16 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,122
0
19 May 2017
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
823
11,899
0
09 Mar 2017
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