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Matching Networks for One Shot Learning

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
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Papers citing "Matching Networks for One Shot Learning"

50 / 1,001 papers shown
Title
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
16
114
0
14 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
24
155
0
21 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-xiong Wang
Deva Ramanan
M. Hebert
CLL
24
148
0
18 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
19
92
0
06 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
16
75
0
01 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
26
123
0
23 Jun 2019
The Functional Neural Process
The Functional Neural Process
Christos Louizos
Xiahan Shi
Klamer Schutte
Max Welling
BDL
35
77
0
19 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
24
240
0
18 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
27
134
0
16 Jun 2019
Recurrent Neural Processes
Recurrent Neural Processes
Timon Willi
Jonathan Masci
Jürgen Schmidhuber
Christian Osendorfer
BDL
13
18
0
13 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLL
KELM
14
87
0
13 Jun 2019
Interpretable Few-Shot Learning via Linear Distillation
Interpretable Few-Shot Learning via Linear Distillation
Arip Asadulaev
Igor Kuznetsov
Andrey Filchenkov
FedML
FAtt
11
1
0
13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden Lake
CoGe
25
196
0
12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
22
400
0
12 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
VLM
30
1
0
10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
19
59
0
07 Jun 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot
  Sequence Labeling via a Convolutional Decomposition
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition
A. Schmaltz
19
8
0
04 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Sequential Scenario-Specific Meta Learner for Online Recommendation
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
20
115
0
02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin
Yijun Wang
Tianyu He
Zhibo Chen
19
8
0
01 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification
Regression Networks for Meta-Learning Few-Shot Classification
A. Devos
Matthias Grossglauser
6
12
0
31 May 2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts
  and Improve Classification
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification
Léonard Boussioux
Tomás Giro-Larraz
Charles Guille-Escuret
Mehdi Cherti
Balázs Kégl
20
1
0
30 May 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
21
29
0
28 May 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
15
217
0
28 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
23
17
0
24 May 2019
Personalizing Dialogue Agents via Meta-Learning
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
49
179
0
24 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
29
98
0
15 May 2019
Task-Driven Modular Networks for Zero-Shot Compositional Learning
Task-Driven Modular Networks for Zero-Shot Compositional Learning
Senthil Purushwalkam
Maximilian Nickel
Abhinav Gupta
MarcÁurelio Ranzato
27
170
0
15 May 2019
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity
  Understanding
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu
Amir Shahroudy
Mauricio Perez
G. Wang
Ling-yu Duan
Alex C. Kot
24
1,254
0
12 May 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
19
169
0
10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot
  Learning on Category Graph
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
21
71
0
10 May 2019
Meta-learning of Sequential Strategies
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
22
96
0
08 May 2019
Few-Shot Adaptive Gaze Estimation
Few-Shot Adaptive Gaze Estimation
Seonwook Park
Shalini De Mello
Pavlo Molchanov
Umar Iqbal
Otmar Hilliges
Jan Kautz
27
193
0
06 May 2019
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Yunxiao Qin
Chenxu Zhao
Xiangyu Zhu
Zezheng Wang
Zitong Yu
Tianyu Fu
Feng Zhou
Jingping Shi
Zhen Lei
CVBM
24
115
0
29 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical
  Images
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim
Tae-Hyun Oh
Seokju Lee
Fei Pan
In So Kweon
DRL
36
73
0
17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
30
128
0
17 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
22
1,131
0
10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
19
140
0
09 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
18
1,751
0
08 Apr 2019
Learning to Adapt for Stereo
Learning to Adapt for Stereo
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip H. S. Torr
11
83
0
05 Apr 2019
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu
Richang Hong
Yang Wang
Hao Wu
GAN
27
80
0
03 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
22
484
0
28 Mar 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
22
482
0
25 Mar 2019
Visual Semantic Information Pursuit: A Survey
Visual Semantic Information Pursuit: A Survey
Daqi Liu
M. Bober
J. Kittler
15
31
0
13 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based
  Image Retrieval
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Anjan Dutta
Zeynep Akata
33
143
0
08 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
25
611
0
07 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Yizhe Zhu
Jianwen Xie
Zhiqiang Tang
Xi Peng
Ahmed Elgammal
VLM
25
118
0
01 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Philip H. S. Torr
MarcÁurelio Ranzato
CLL
29
389
0
27 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
SSL
OOD
27
21
0
22 Feb 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
28
271
0
19 Feb 2019
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