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Matching Networks for One Shot Learning
v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXiv (abs)PDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 3,266 papers shown
Learning to Support: Exploiting Structure Information in Support Sets
  for One-Shot Learning
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu
S. Gibson
Margarita Osadchy
81
8
0
22 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu
Alexei A. Efros
Stella X. Yu
BDL
153
151
0
14 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
352
77
0
14 Aug 2018
Deep Reinforcement One-Shot Learning for Artificially Intelligent
  Classification Systems
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
A. Puzanov
Kobi Cohen
VLM
93
20
0
04 Aug 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce
  Training Data
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores
Abel Gonzalez-Garcia
Joost van de Weijer
Bogdan Raducanu
228
52
0
01 Aug 2018
Comparator Networks
Comparator Networks
Weidi Xie
Li Shen
Andrew Zisserman
CoGe
166
77
0
30 Jul 2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
Kui Jia
152
100
0
28 Jul 2018
MaskConnect: Connectivity Learning by Gradient Descent
MaskConnect: Connectivity Learning by Gradient Descent
Karim Ahmed
Lorenzo Torresani
159
52
0
28 Jul 2018
Few Shot Learning with Simplex
Bowen Zhang
Xifan Zhang
Fan Cheng
Deli Zhao
96
1
0
27 Jul 2018
Meta-learning autoencoders for few-shot prediction
Meta-learning autoencoders for few-shot prediction
Tailin Wu
J. Peurifoy
Isaac L. Chuang
Max Tegmark
99
24
0
26 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative
  models from few examples
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt
Maxwell Nye
Andreea Gane
Tommi Jaakkola
J. Tenenbaum
BDLDRLGAN
157
70
0
24 Jul 2018
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction
Alberto Rossi
Gianni Barlacchi
Monica Bianchini
Bruno Lepri
108
30
0
21 Jul 2018
Few-Shot Adaptation for Multimedia Semantic Indexing
Few-Shot Adaptation for Multimedia Semantic IndexingACM Multimedia (ACM MM), 2018
Nakamasa Inoue
Koichi Shinoda
VLM
152
7
0
19 Jul 2018
Meta-Learning with Latent Embedding Optimization
Meta-Learning with Latent Embedding OptimizationInternational Conference on Learning Representations (ICLR), 2018
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
567
1,472
0
16 Jul 2018
Metalearning with Hebbian Fast Weights
Metalearning with Hebbian Fast Weights
Tsendsuren Munkhdalai
Adam Trischler
VLMFedML
164
41
0
12 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
523
2,363
0
10 Jul 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video
  Demonstration
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang
Suraj Nair
Danfei Xu
Yuke Zhu
Animesh Garg
Li Fei-Fei
Silvio Savarese
Juan Carlos Niebles
188
148
0
10 Jul 2018
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
Victor O.K. Li
MQ
189
31
0
08 Jul 2018
One-shot Texture Segmentation
One-shot Texture Segmentation
Ivan Ustyuzhaninov
Claudio Michaelis
Wieland Brendel
Matthias Bethge
VLM
148
18
0
07 Jul 2018
Learning models for visual 3D localization with implicit mapping
Learning models for visual 3D localization with implicit mapping
Dan Rosenbaum
F. Besse
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
287
30
0
04 Jul 2018
Neural Processes
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDLUQCVGP
272
565
0
04 Jul 2018
Conditional Neural Processes
Conditional Neural ProcessesInternational Conference on Machine Learning (ICML), 2018
M. Garnelo
Dan Rosenbaum
Chris J. Maddison
Tiago Ramalho
D. Saxton
Murray Shanahan
Yee Whye Teh
Danilo Jimenez Rezende
S. M. Ali Eslami
UQCVBDL
361
778
0
04 Jul 2018
Tracking Emerges by Colorizing Videos
Tracking Emerges by Colorizing Videos
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
301
395
0
25 Jun 2018
Attention-based Few-Shot Person Re-identification Using Meta Learning
Attention-based Few-Shot Person Re-identification Using Meta Learning
Alireza Rahimpour
Hairong Qi
146
6
0
24 Jun 2018
One-shot Learning for Question-Answering in Gaokao History Challenge
One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang
Zhao Hai
RALM
223
31
0
24 Jun 2018
Uncertainty in Multitask Transfer Learning
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste
Boris N. Oreshkin
Wonchang Chung
Thomas Boquet
Negar Rostamzadeh
David M. Krueger
BDLUQCVSSL
301
21
0
20 Jun 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
188
6
0
16 Jun 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition
Cross-modal Hallucination for Few-shot Fine-grained Recognition
Frederik Pahde
P. Jähnichen
T. Klein
Moin Nabi
219
21
0
13 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
429
802
0
13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
534
381
0
12 Jun 2018
RepMet: Representative-based metric learning for classification and
  one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
VLMObjD
482
340
0
12 Jun 2018
MSplit LBI: Realizing Feature Selection and Dense Estimation
  Simultaneously in Few-shot and Zero-shot Learning
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao
Xinwei Sun
Yanwei Fu
Yuan Yao
Yizhou Wang
141
23
0
12 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
270
158
0
11 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCVBDL
593
529
0
11 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search
Auto-Meta: Automated Gradient Based Meta Learner Search
Jaehong Kim
Sangyeul Lee
Sungwan Kim
Moonsu Cha
Jung Kwon Lee
Youngduck Choi
Yongseok Choi
Dong-Yeon Cho
Jiwon Kim
AI4CE
164
43
0
11 Jun 2018
Adversarial Meta-Learning
Adversarial Meta-Learning
Chengxiang Yin
Jian Tang
Zhiyuan Xu
Yanzhi Wang
194
44
0
08 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
233
47
0
08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
582
723
0
07 Jun 2018
Meta-Learning by the Baldwin Effect
Meta-Learning by the Baldwin Effect
Chrisantha Fernando
Jakub Sygnowski
Simon Osindero
Jane X. Wang
Tom Schaul
Denis Teplyashin
Pablo Sprechmann
Alexander Pritzel
Andrei A. Rusu
242
40
0
06 Jun 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and
  Reliable Prediction for Healthcare
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Ingyo Chung
Saehoon Kim
Juho Lee
Kwang Joon Kim
Sung Ju Hwang
Eunho Yang
BDLFedML
222
19
0
05 Jun 2018
Deep Mixture of Experts via Shallow Embedding
Deep Mixture of Experts via Shallow Embedding
Xin Wang
Feng Yu
Lisa Dunlap
Yi-An Ma
Ruth Wang
Azalia Mirhoseini
Trevor Darrell
Joseph E. Gonzalez
MoE
171
1
0
05 Jun 2018
Meta-Learner with Linear Nulling
Meta-Learner with Linear Nulling
Sung Whan Yoon
Jun Seo
Jaekyun Moon
95
1
0
04 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text
  Classification
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Xiang Jiang
Mohammad Havaei
Gabriel Chartrand
Hassan Chouaib
Thomas Vincent
Andrew Jesson
Nicolas Chapados
Stan Matwin
VLM
103
20
0
03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
304
67
0
31 May 2018
Forward Amortized Inference for Likelihood-Free Variational
  Marginalization
Forward Amortized Inference for Likelihood-Free Variational Marginalization
Luca Ambrogioni
Umut Güçlü
Julia Berezutskaya
Eva W. P. van den Borne
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
BDLVLM
128
19
0
29 May 2018
Learning From Less Data: Diversified Subset Selection and Active
  Learning in Image Classification Tasks
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
Vishal Kaushal
Anurag Sahoo
Khoshrav Doctor
Narasimha Raju Uppalapati
Suyash Shetty
Pankaj Singh
Rishabh K. Iyer
Ganesh Ramakrishnan
VLM
149
14
0
28 May 2018
Object-Level Representation Learning for Few-Shot Image Classification
Object-Level Representation Learning for Few-Shot Image Classification
Liangqu Long
Wei Wang
Jun Wen
Meihui Zhang
Qian Lin
Beng Chin Ooi
VLM
110
9
0
28 May 2018
Few-Shot Segmentation Propagation with Guided Networks
Few-Shot Segmentation Propagation with Guided Networks
Kate Rakelly
Evan Shelhamer
Trevor Darrell
Alexei A. Efros
Sergey Levine
166
127
0
25 May 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
709
726
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
484
281
0
24 May 2018
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