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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 / 991 papers shown
Title
Learning to Explain with Complemental Examples
Learning to Explain with Complemental Examples
Atsushi Kanehira
Tatsuya Harada
12
40
0
04 Dec 2018
Learning to match transient sound events using attentional similarity
  for few-shot sound recognition
Learning to match transient sound events using attentional similarity for few-shot sound recognition
Szu-Yu Chou
Kai-Hsiang Cheng
J. Jang
Yi-Hsuan Yang
19
59
0
04 Dec 2018
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
36
1,390
0
03 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
S. Hansen
Volodymyr Mnih
DRL
OffRL
SSL
33
172
0
28 Nov 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
36
756
0
21 Nov 2018
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
26
62
0
19 Nov 2018
Concept Learning through Deep Reinforcement Learning with
  Memory-Augmented Neural Networks
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks
Jing Shi
Jiaming Xu
Yiqun Yao
Bo Xu
28
24
0
15 Nov 2018
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in
  the Wild
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Lianghua Huang
Xin Zhao
Kaiqi Huang
28
1,322
0
29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
20
765
0
29 Oct 2018
Training neural audio classifiers with few data
Training neural audio classifiers with few data
Jordi Pons
Joan Serrà
Xavier Serra
8
57
0
24 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Y. Yao
Zhiyuan Liu
Maosong Sun
SLR
19
601
0
24 Oct 2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
Xiaolin Zhang
Yunchao Wei
Yi Yang
Thomas Huang
VLM
20
457
0
22 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and
  Competitive Learning
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Zhiwu Lu
Jiechao Guan
Aoxue Li
Tao Xiang
An Zhao
Ji-Rong Wen
20
64
0
19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
24
181
0
16 Oct 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
18
37
0
08 Oct 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
13
756
0
08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James
Michael Bloesch
Andrew J. Davison
23
134
0
08 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
26
229
0
04 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
34
71
0
30 Sep 2018
Sample Efficient Adaptive Text-to-Speech
Sample Efficient Adaptive Text-to-Speech
Yutian Chen
Yannis Assael
Brendan Shillingford
David Budden
Scott E. Reed
...
Ben Laurie
Çağlar Gülçehre
Aaron van den Oord
Oriol Vinyals
Nando de Freitas
22
149
0
27 Sep 2018
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLL
VLM
19
110
0
17 Sep 2018
Towards Effective Deep Embedding for Zero-Shot Learning
Towards Effective Deep Embedding for Zero-Shot Learning
Lei Zhang
Peng Wang
Lingqiao Liu
Chunhua Shen
Wei Wei
Yanning Zhang
Anton Van Den Hengel
VLM
8
71
0
30 Aug 2018
Zero-shot Transfer Learning for Semantic Parsing
Zero-shot Transfer Learning for Semantic Parsing
J. Dadashkarimi
Alexander R. Fabbri
S. Tatikonda
Dragomir R. Radev
18
4
0
27 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
16
143
0
14 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
11
50
0
01 Aug 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
BDL
DRL
GAN
28
68
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
8
31
0
21 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
21
1,994
0
10 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
20
30
0
04 Jul 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
BDL
UQCV
SSL
24
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
19
5
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
24
21
0
13 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
30
141
0
11 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
24
47
0
08 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
27
66
0
31 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
37
118
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
20
665
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
45
263
0
24 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
58
1,308
0
23 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
35
456
0
20 May 2018
Marrying up Regular Expressions with Neural Networks: A Case Study for
  Spoken Language Understanding
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo
Yansong Feng
Zheng Wang
Songfang Huang
Rui Yan
Dongyan Zhao
11
39
0
15 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel
  categories with few examples
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
Xiu-Shen Wei
Peng Wang
Lingqiao Liu
Chunhua Shen
Jianxin Wu
19
124
0
11 May 2018
Towards a universal neural network encoder for time series
Towards a universal neural network encoder for time series
Joan Serrà
Santiago Pascual
Alexandros Karatzoglou
AI4TS
32
119
0
10 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
32
3,408
0
05 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLM
OffRL
15
177
0
10 Apr 2018
The Kanerva Machine: A Generative Distributed Memory
The Kanerva Machine: A Generative Distributed Memory
Yan Wu
Greg Wayne
Alex Graves
Timothy Lillicrap
VLM
SyDa
17
38
0
05 Apr 2018
Fast Parametric Learning with Activation Memorization
Fast Parametric Learning with Activation Memorization
Jack W. Rae
Chris Dyer
Peter Dayan
Timothy Lillicrap
KELM
25
46
0
27 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
20
281
0
15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
36
1,303
0
12 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation
Cross-domain Recommendation via Deep Domain Adaptation
Heishiro Kanagawa
Hayato Kobayashi
N. Shimizu
Yukihiro Tagami
Taiji Suzuki
19
92
0
08 Mar 2018
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