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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 / 3,265 papers shown
SOSELETO: A Unified Approach to Transfer Learning and Training with
  Noisy Labels
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
Or Litany
Daniel Freedman
NoLa
168
13
0
24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
460
1,432
0
23 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OODMLT
471
1,445
0
23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive
  Transfer Learning
Adapted Deep Embeddings: A Synthesis of Methods for kkk-Shot Inductive Transfer Learning
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
304
88
0
22 May 2018
AgileNet: Lightweight Dictionary-based Few-shot Learning
AgileNet: Lightweight Dictionary-based Few-shot Learning
M. Ghasemzadeh
Fang Lin
B. Rouhani
F. Koushanfar
Ke Huang
90
7
0
21 May 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Juil Sock
Andrea Vedaldi
ODL
441
1,019
0
21 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
210
515
0
20 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics
Diverse Few-Shot Text Classification with Multiple Metrics
Mo Yu
Xiaoxiao Guo
Jinfeng Yi
Shiyu Chang
Saloni Potdar
Yu Cheng
Gerald Tesauro
Haoyu Wang
Bowen Zhou
207
221
0
19 May 2018
Resisting Large Data Variations via Introspective Transformation Network
Resisting Large Data Variations via Introspective Transformation Network
Yunhan Zhao
Ye Tian
Charless C. Fowlkes
Wei Shen
Alan Yuille
199
1
0
16 May 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
491
964
0
16 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
134
40
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
188
135
0
11 May 2018
Deep Nets: What have they ever done for Vision?
Deep Nets: What have they ever done for Vision?
Alan Yuille
Chenxi Liu
488
106
0
10 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
158
129
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
2.0K
3,775
0
05 May 2018
Deep Co-attention based Comparators For Relative Representation Learning
  in Person Re-identification
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Lin Wu
Yang Wang
Junbin Gao
Dacheng Tao
123
21
0
30 Apr 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
463
1,184
0
25 Apr 2018
Memory Matching Networks for One-Shot Image Recognition
Memory Matching Networks for One-Shot Image Recognition
Qi Cai
Yingwei Pan
Ting Yao
C. Yan
Tao Mei
VLM
207
283
0
23 Apr 2018
Deep Triplet Ranking Networks for One-Shot Recognition
Deep Triplet Ranking Networks for One-Shot Recognition
Meng Ye
Yuhong Guo
119
36
0
19 Apr 2018
One-Shot Learning using Mixture of Variational Autoencoders: a
  Generalization Learning approach
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approachAdaptive Agents and Multi-Agent Systems (AAMAS), 2018
Decebal Constantin Mocanu
Elena Mocanu
BDLVLMDRL
134
19
0
18 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
244
547
0
18 Apr 2018
Reinforced Co-Training
Reinforced Co-Training
Jiawei Wu
Lei Li
William Yang Wang
OffRL
129
51
0
17 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
316
263
0
15 Apr 2018
Decoupled Novel Object Captioner
Decoupled Novel Object Captioner
Yuehua Wu
Linchao Zhu
Lu Jiang
Yi Yang
281
63
0
11 Apr 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
VLMOffRL
184
183
0
10 Apr 2018
Improving Confidence Estimates for Unfamiliar Examples
Improving Confidence Estimates for Unfamiliar Examples
Zhizhong Li
Derek Hoiem
245
11
0
09 Apr 2018
Personalized Classifier for Food Image Recognition
Personalized Classifier for Food Image Recognition
Shota Horiguchi
Sosuke Amano
Makoto Ogawa
Kiyoharu Aizawa
101
73
0
08 Apr 2018
Associative Compression Networks for Representation Learning
Associative Compression Networks for Representation Learning
Alex Graves
Jacob Menick
Aaron van den Oord
CML
215
21
0
06 Apr 2018
Differentiable plasticity: training plastic neural networks with
  backpropagation
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi
Jeff Clune
Kenneth O. Stanley
AI4CE
240
173
0
06 Apr 2018
The Kanerva Machine: A Generative Distributed Memory
The Kanerva Machine: A Generative Distributed Memory
Yan Wu
Greg Wayne
Alex Graves
Timothy Lillicrap
VLMSyDa
243
40
0
05 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSLOOD
280
127
0
31 Mar 2018
Learning Structure and Strength of CNN Filters for Small Sample Size
  Training
Learning Structure and Strength of CNN Filters for Small Sample Size Training
Rohit Keshari
Mayank Vatsa
Richa Singh
A. Noore
109
88
0
30 Mar 2018
Learning to generate classifiers
Learning to generate classifiers
N. Guttenberg
Ryota Kanai
86
3
0
30 Mar 2018
Fast Parametric Learning with Activation Memorization
Fast Parametric Learning with Activation Memorization
Jack W. Rae
Chris Dyer
Peter Dayan
Timothy Lillicrap
KELM
261
47
0
27 Mar 2018
HAMLET: Interpretable Human And Machine co-LEarning Technique
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss
Siddharth Biswal
Jing Jin
Haoqi Sun
M. P. M. Brandon Westover
Jimeng Sun
205
11
0
26 Mar 2018
One-Shot Segmentation in Clutter
One-Shot Segmentation in Clutter
Claudio Michaelis
Matthias Bethge
Alexander S. Ecker
171
41
0
26 Mar 2018
Feature Transfer Learning for Deep Face Recognition with
  Under-Represented Data
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data
Xi Yin
Xiang Yu
Kihyuk Sohn
Xiaoming Liu
Manmohan Chandraker
CVBM
197
36
0
23 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for ClassificationNeural Information Processing Systems (NeurIPS), 2018
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
223
311
0
15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
357
1,423
0
12 Mar 2018
Neural Conditional Gradients
Neural Conditional Gradients
P. Schramowski
Christian Bauckhage
Kristian Kersting
195
2
0
12 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting
Detecting Adversarial Examples via Neural Fingerprinting
Sumanth Dathathri
Stephan Zheng
Tianwei Yin
Richard M. Murray
Yisong Yue
MLAUAAML
163
0
0
11 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
148
98
0
08 Mar 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
809
2,454
0
08 Mar 2018
LSTD: A Low-Shot Transfer Detector for Object Detection
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
ObjD
157
369
0
05 Mar 2018
Natural Language to Structured Query Generation via Meta-Learning
Natural Language to Structured Query Generation via Meta-LearningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
Po-Sen Huang
Chenglong Wang
Rishabh Singh
Anuj Kumar
Xiaodong He
187
128
0
02 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2018
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
282
1,389
0
02 Mar 2018
Memory-based Parameter Adaptation
Memory-based Parameter AdaptationInternational Conference on Learning Representations (ICLR), 2018
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODLOODVLM
162
102
0
28 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
249
437
0
22 Feb 2018
xView: Objects in Context in Overhead Imagery
xView: Objects in Context in Overhead Imagery
Darius Lam
Richard Kuzma
Kevin McGee
Samuel Dooley
Michael Laielli
Matthew K. Klaric
Yaroslav Bulatov
Brendan McCord
ObjD
244
382
0
22 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
683
3,229
1
21 Feb 2018
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