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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 / 3,162 papers shown
Title
Class-Agnostic Counting
Class-Agnostic Counting
Erika Lu
Weidi Xie
Andrew Zisserman
82
151
0
01 Nov 2018
Towards learning-to-learn
Towards learning-to-learn
B. Lansdell
Konrad Paul Kording
43
19
0
01 Nov 2018
Neural Nearest Neighbors Networks
Neural Nearest Neighbors Networks
Tobias Plötz
Stefan Roth
99
340
0
30 Oct 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative
  Adversarial Learning
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Arnab Kumar Mondal
Jose Dolz
Christian Desrosiers
GANMedIm
98
120
0
29 Oct 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
173
1,357
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
109
791
0
29 Oct 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation
  Networks
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
93
137
0
27 Oct 2018
Training neural audio classifiers with few data
Training neural audio classifiers with few data
Jordi Pons
Joan Serrà
Xavier Serra
106
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
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
95
615
0
24 Oct 2018
DropFilter: Dropout for Convolutions
DropFilter: Dropout for Convolutions
Zhengsu Chen
35
4
0
23 Oct 2018
How to train your MAML
How to train your MAML
Antreas Antoniou
Harrison Edwards
Amos Storkey
97
780
0
22 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
71
466
0
22 Oct 2018
Generative Low-Shot Network Expansion
Generative Low-Shot Network Expansion
Adi Hayat
M. Kliger
S. Fleishman
Daniel Cohen-Or
CLLVLM
18
0
0
19 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
73
64
0
19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for
  Zero-Shot Learning
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Aoxue Li
Zhiwu Lu
Jiechao Guan
Tao Xiang
Liwei Wang
Ji-Rong Wen
VLM
65
20
0
19 Oct 2018
Gradient Agreement as an Optimization Objective for Meta-Learning
Gradient Agreement as an Optimization Objective for Meta-Learning
Amir Erfan Eshratifar
David Eigen
Massoud Pedram
51
11
0
18 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
108
181
0
16 Oct 2018
Strategies for Language Identification in Code-Mixed Low Resource
  Languages
Strategies for Language Identification in Code-Mixed Low Resource Languages
Soumil Mandal
S. Sanand
33
0
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps
  Detection in the Limited Data Scenario
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
Yixiong Liang
Zhihong Tang
Meng Yan
Jialin Chen
Qing Liu
Yao Xiang
128
11
0
14 Oct 2018
Bird Species Classification using Transfer Learning with Multistage
  Training
Bird Species Classification using Transfer Learning with Multistage Training
Sourya Dipta Das
Akash Kumar
26
29
0
09 Oct 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
88
37
0
08 Oct 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedMLOOD
102
761
0
08 Oct 2018
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of
  Margin Dynamics
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
Weizhi Zhu
Yifei Huang
Yuan Yao
AI4CEOOD
20
1
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
79
136
0
08 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSLOffRL
115
230
0
04 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
140
275
0
01 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
101
70
0
30 Sep 2018
Knowledge-guided Semantic Computing Network
Knowledge-guided Semantic Computing Network
Guangming Shi
Zhongqiang Zhang
Dahua Gao
Xuemei Xie
Yihao Feng
Xinrui Ma
Danhua Liu
39
10
0
29 Sep 2018
Open-Ended Content-Style Recombination Via Leakage Filtering
Open-Ended Content-Style Recombination Via Leakage Filtering
Karl Ridgeway
Michael C. Mozer
DRLVLM
34
2
0
28 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
124
149
0
27 Sep 2018
Addressing Training Bias via Automated Image Annotation
Addressing Training Bias via Automated Image Annotation
Zhujun Xiao
Yanzi Zhu
Yuxin Chen
Ben Y. Zhao
Junchen Jiang
Haitao Zheng
54
3
0
22 Sep 2018
A Meta-Learning Approach for Custom Model Training
A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar
M. Abrishami
David Eigen
Massoud Pedram
39
6
0
21 Sep 2018
Distribution Networks for Open Set Learning
Distribution Networks for Open Set Learning
Chengsheng Mao
Liang Yao
Yuan Luo
OOD
52
2
0
20 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
CLLVLM
85
111
0
17 Sep 2018
DocFace+: ID Document to Selfie Matching
DocFace+: ID Document to Selfie Matching
Yichun Shi
Anil K. Jain
CVBM
103
34
0
15 Sep 2018
Deep Learning in Information Security
Deep Learning in Information Security
S. Thaler
Vlado Menkovski
M. Petković
63
10
0
12 Sep 2018
Are You Sure You Want To Do That? Classification with Verification
Are You Sure You Want To Do That? Classification with Verification
Harris Chan
Atef Chaudhury
Kevin Shen
27
0
0
07 Sep 2018
Multi-Source Domain Adaptation with Mixture of Experts
Multi-Source Domain Adaptation with Mixture of Experts
Jiang Guo
Darsh J. Shah
Regina Barzilay
61
179
0
07 Sep 2018
Deep Bilevel Learning
Deep Bilevel Learning
Simon Jenni
Paolo Favaro
NoLa
74
115
0
05 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
75
72
0
30 Aug 2018
One-Shot Relational Learning for Knowledge Graphs
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
116
220
0
27 Aug 2018
COFGA: Classification Of Fine-Grained Features In Aerial Images
COFGA: Classification Of Fine-Grained Features In Aerial Images
Eran Dahan
Tzvi Diskin
38
1
0
27 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
47
4
0
27 Aug 2018
Meta-Learning for Low-Resource Neural Machine Translation
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu
Yong Wang
Yun Chen
Kyunghyun Cho
Victor O.K. Li
91
343
0
25 Aug 2018
Transfer Learning for Estimating Causal Effects using Neural Networks
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel
Bradly C. Stadie
N. Vemuri
V. Ramakrishnan
Jasjeet Sekhon
Pieter Abbeel
CML
49
32
0
23 Aug 2018
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
54
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
62
146
0
14 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
108
72
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
46
19
0
04 Aug 2018
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