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Relational Generalized Few-Shot Learning

Relational Generalized Few-Shot Learning

22 July 2019
Xiahan Shi
Leonard Salewski
Martin Schiegg
Zeynep Akata
Max Welling
ArXivPDFHTML

Papers citing "Relational Generalized Few-Shot Learning"

37 / 37 papers shown
Title
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
Chenrui Zhang
Xiaoqing Lyu
Zhi Tang
38
30
0
30 Aug 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
118
114
0
14 Aug 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
112
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
92
457
0
04 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for
  Few-Shot Learning
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris
N. Komodakis
72
231
0
03 May 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
91
490
0
25 Mar 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational
  Autoencoders
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schönfeld
Sayna Ebrahimi
Samarth Sinha
Trevor Darrell
Zeynep Akata
DRL
75
596
0
05 Dec 2018
How to train your MAML
How to train your MAML
Antreas Antoniou
Harrison Edwards
Amos Storkey
71
776
0
22 Oct 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
Sung Ju Hwang
Yi Yang
94
668
0
25 May 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
110
264
0
24 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
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
147
589
0
21 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
227
2,232
0
08 Mar 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu
Zilu Zhang
Tal Friedman
Yitao Liang
Guy Van den Broeck
82
450
0
29 Nov 2017
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
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
Improving One-Shot Learning through Fusing Side Information
Improving One-Shot Learning through Fusing Side Information
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
FedML
24
51
0
23 Oct 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
94
1,119
0
31 Jul 2017
A Simple Exponential Family Framework for Zero-Shot Learning
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma
Piyush Rai
VLM
75
196
0
25 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
141
1,567
0
03 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
65
10
0
12 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
110
1,256
0
07 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
177
1,614
0
05 Jun 2017
Discriminative k-shot learning using probabilistic models
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
56
71
0
01 Jun 2017
Semantically Consistent Regularization for Zero-Shot Recognition
Semantically Consistent Regularization for Zero-Shot Recognition
Pedro Morgado
Nuno Vasconcelos
62
138
0
10 Apr 2017
Learning Robust Visual-Semantic Embeddings
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai
Liang-Kang Huang
Ruslan Salakhutdinov
SSL
AI4TS
54
166
0
17 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
295
8,130
0
15 Mar 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
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
114
364
0
09 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,032
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
339
7,650
0
30 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
365
7,319
0
13 Jun 2016
An Empirical Study and Analysis of Generalized Zero-Shot Learning for
  Object Recognition in the Wild
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
56
568
0
13 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
221
3,350
0
30 Sep 2015
Label-Embedding for Image Classification
Label-Embedding for Image Classification
Zeynep Akata
Florent Perronnin
Zaïd Harchaoui
Cordelia Schmid
VLM
68
779
0
30 Mar 2015
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
Tomas Mikolov
Samy Bengio
Y. Singer
Jonathon Shlens
Andrea Frome
G. Corrado
J. Dean
VLM
93
939
0
19 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
392
33,521
0
16 Oct 2013
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