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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
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz
Joachim Denzler
190
146
0
25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu
Andrew J. Davison
Edward Johns
SSLOOD
342
173
0
25 Jan 2019
Causal Reasoning from Meta-reinforcement Learning
Causal Reasoning from Meta-reinforcement Learning
Ishita Dasgupta
Jane X. Wang
Silvia Chiappa
Jovana Mitrović
Pedro A. Ortega
David Raposo
Edward Hughes
Peter W. Battaglia
M. Botvinick
Z. Kurth-Nelson
CMLLRM
227
133
0
23 Jan 2019
Max-margin Class Imbalanced Learning with Gaussian Affinity
Max-margin Class Imbalanced Learning with Gaussian Affinity
Munawar Hayat
Salman Khan
Waqas Zamir
Jianbing Shen
Ling Shao
148
24
0
23 Jan 2019
Attentive Neural Processes
Attentive Neural Processes
Hyunjik Kim
A. Mnih
Jonathan Richard Schwarz
M. Garnelo
S. M. Ali Eslami
Dan Rosenbaum
Oriol Vinyals
Yee Whye Teh
395
488
0
17 Jan 2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword
  Spotting With Limited Training Data
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data
Harshita Seth
Pulkit Kumar
Muktabh Mayank Srivastava
235
13
0
12 Jan 2019
Large-scale Collaborative Filtering with Product Embeddings
Large-scale Collaborative Filtering with Product Embeddings
Thom Lake
Sinead Williamson
Alexander T. Hawk
Christopher C. Johnson
Benjamin Wing
165
12
0
11 Jan 2019
FIGR: Few-shot Image Generation with Reptile
FIGR: Few-shot Image Generation with Reptile
Louis Clouâtre
Marc Demers
GANVLM
151
104
0
08 Jan 2019
Low-Shot Learning from Imaginary 3D Model
Low-Shot Learning from Imaginary 3D Model
Frederik Pahde
M. Puscas
Jannik Wolff
T. Klein
Andrii Zadaianchuk
Moin Nabi
154
12
0
04 Jan 2019
Learning From Less Data: A Unified Data Subset Selection and Active
  Learning Framework for Computer Vision
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Vishal Kaushal
Rishabh K. Iyer
Suraj Kothawade
Rohan Mahadev
Khoshrav Doctor
Ganesh Ramakrishnan
181
99
0
03 Jan 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
335
190
0
02 Jan 2019
Similarity R-C3D for Few-shot Temporal Activity Detection
Similarity R-C3D for Few-shot Temporal Activity Detection
Huijuan Xu
Bingyi Kang
Ximeng Sun
Jiashi Feng
Kate Saenko
Trevor Darrell
169
11
0
25 Dec 2018
Meta Architecture Search
Meta Architecture Search
Albert Eaton Shaw
Wei Wei
Weiyang Liu
Le Song
Bo Dai
BDL
160
38
0
22 Dec 2018
Learning Compositional Representations for Few-Shot Recognition
Learning Compositional Representations for Few-Shot Recognition
P. Tokmakov
Yu-Xiong Wang
M. Hebert
OCL
246
133
0
21 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Yinan Han
Zhirong Wu
Han Hu
Stephen Lin
161
67
0
20 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial
  generalization
Modular meta-learning in abstract graph networks for combinatorial generalization
Ferran Alet
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
GNN
160
3
0
19 Dec 2018
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to
  One-Shot Learning in Autonomous Vision
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision
Sorin Grigorescu
GANVLM
125
13
0
19 Dec 2018
FML: Face Model Learning from Videos
FML: Face Model Learning from Videos
A. Tewari
Florian Bernard
Pablo Garrido
Gaurav Bharaj
Mohamed A. Elgharib
Hans-Peter Seidel
P. Pérez
Michael Zollhöfer
Christian Theobalt
CVBM3DH
206
161
0
18 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
254
33
0
18 Dec 2018
Few-shot classification in Named Entity Recognition Task
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler
V. Logacheva
M. Kretov
212
210
0
14 Dec 2018
Reconciling meta-learning and continual learning with online mixtures of
  tasks
Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel
Erin Grant
Thomas Griffiths
Katherine A. Heller
FedMLCLLBDL
381
12
0
14 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Yunxiao Qin
Weiguo Zhang
Chenxu Zhao
Zezheng Wang
Xiangyu Zhu
Guojun Qi
Jingping Shi
Zhen Lei
226
29
0
11 Dec 2018
Learning What to Remember: Long-term Episodic Memory Networks for
  Learning from Streaming Data
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data
Hyunwoo Jung
Moonsu Han
Minki Kang
Sung Ju Hwang
CLLKELMRALM
137
5
0
11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
531
775
0
10 Dec 2018
Disjoint Label Space Transfer Learning with Common Factorised Space
Disjoint Label Space Transfer Learning with Common Factorised Space
Xiaobin Chang
Yongxin Yang
Tao Xiang
Timothy M. Hospedales
DRL
241
56
0
06 Dec 2018
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery
  Detection
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
D. Cozzolino
Justus Thies
Andreas Rossler
Christian Riess
Matthias Nießner
L. Verdoliva
AAML
248
301
0
06 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
681
1,194
0
06 Dec 2018
Auto-Encoding Scene Graphs for Image Captioning
Auto-Encoding Scene Graphs for Image Captioning
Xu Yang
Kaihua Tang
Hanwang Zhang
Jianfei Cai
653
771
0
06 Dec 2018
Continual Learning Augmented Investment Decisions
Continual Learning Augmented Investment Decisions
Daniel Philps
Tillman Weyde
Artur Garcez
R. Batchelor
284
12
0
06 Dec 2018
The effects of negative adaptation in Model-Agnostic Meta-Learning
The effects of negative adaptation in Model-Agnostic Meta-Learning
T. Deleu
Yoshua Bengio
145
22
0
05 Dec 2018
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjDOffRL
383
803
0
05 Dec 2018
Meta Learning Deep Visual Words for Fast Video Object Segmentation
Meta Learning Deep Visual Words for Fast Video Object Segmentation
Harkirat Singh Behl
M. Najafi
Anurag Arnab
Juil Sock
VOS
196
20
0
04 Dec 2018
Learning to Explain with Complemental Examples
Learning to Explain with Complemental Examples
Atsushi Kanehira
Tatsuya Harada
203
43
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
169
63
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
531
1,634
0
03 Dec 2018
Transferring Knowledge across Learning Processes
Transferring Knowledge across Learning Processes
Sebastian Flennerhag
Pablo G. Moreno
Neil D. Lawrence
Andreas C. Damianou
210
65
0
03 Dec 2018
Cross-Modulation Networks for Few-Shot Learning
Cross-Modulation Networks for Few-Shot Learning
Hugo Prol
Vincent Dumoulin
Luis Herranz
127
15
0
01 Dec 2018
Unsupervised Meta-Learning For Few-Shot Image Classification
Unsupervised Meta-Learning For Few-Shot Image Classification
Siavash Khodadadeh
Ladislau Bölöni
M. Shah
SSLVLM
241
156
0
28 Nov 2018
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning
  Problem
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
Jingyu Sun
Sarah Parisot
Fengwei Zhou
Xingzhi Zhang
A. Leonardis
Zhenguo Li
Greg Slabaugh
88
8
0
28 Nov 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
297
96
0
28 Nov 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
Steven Hansen
Volodymyr Mnih
DRLOffRLSSL
244
187
0
28 Nov 2018
Tackling Early Sparse Gradients in Softmax Activation Using Leaky
  Squared Euclidean Distance
Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance
Wei Shen
Rujie Liu
95
1
0
27 Nov 2018
Self Paced Adversarial Training for Multimodal Few-shot Learning
Self Paced Adversarial Training for Multimodal Few-shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
Frederik Pahde
O. Ostapenko
P. Jähnichen
T. Klein
Moin Nabi
155
25
0
22 Nov 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDLObjD
480
916
0
21 Nov 2018
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-LearningInternational Conference on Learning Representations (ICLR), 2018
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
178
67
0
19 Nov 2018
Representation based and Attention augmented Meta learning
Representation based and Attention augmented Meta learning
Yunxiao Qin
Chenxu Zhao
Zezheng Wang
Junliang Xing
Jun Wan
Zhen Lei
224
1
0
19 Nov 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning
RelationNet2: Deep Comparison Columns for Few-Shot Learning
Xueting Zhang
Yuting Qiang
Flood Sung
Yongxin Yang
Timothy M. Hospedales
129
18
0
17 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection
Data-Efficient Graph Embedding Learning for PCB Component DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
Chia-Wen Kuo
Jacob Ashmore
David Huggins
Z. Kira
158
53
0
16 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
143
27
0
15 Nov 2018
Few-shot Learning for Named Entity Recognition in Medical Text
Few-shot Learning for Named Entity Recognition in Medical Text
Maximilian Hofer
Andrey Kormilitzin
Paul W. Goldberg
A. Nevado-Holgado
166
68
0
13 Nov 2018
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