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Few-shot Learning with LSSVM Base Learner and Transductive Modules

Few-shot Learning with LSSVM Base Learner and Transductive Modules

12 September 2020
Haoqing Wang
Zhihong Deng
ArXiv (abs)PDFHTML

Papers citing "Few-shot Learning with LSSVM Base Learner and Transductive Modules"

19 / 19 papers shown
Title
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
92
125
0
27 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
68
39
0
01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
78
208
0
31 Mar 2020
Variational Metric Scaling for Metric-Based Meta-Learning
Variational Metric Scaling for Metric-Based Meta-Learning
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
55
48
0
26 Dec 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
278
641
0
17 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao
Yemin Shi
Jia Li
Yaowei Wang
Tiejun Huang
Yonghong Tian
67
182
0
05 Oct 2019
Finding Task-Relevant Features for Few-Shot Learning by Category
  Traversal
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li
David Eigen
Samuel F. Dodge
Matthew D. Zeiler
Xiaogang Wang
VLM
122
341
0
27 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim
Taesup Kim
Sungwoong Kim
Chang D. Yoo
96
457
0
04 May 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
138
667
0
10 Dec 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
100
931
0
21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
64
1,131
0
25 Apr 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
244
2,239
0
08 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
314
4,054
0
16 Nov 2017
A Simple Neural Attentive Meta-Learner
A Simple Neural Attentive Meta-Learner
Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
OOD
106
200
0
11 Jul 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
101
554
0
12 Jun 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
833
11,952
0
09 Mar 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 2016
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
132
2,008
0
14 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
378
7,343
0
13 Jun 2016
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