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Prototypical Networks for Few-shot Learning
v1v2 (latest)

Prototypical Networks for Few-shot Learning

15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
ArXiv (abs)PDFHTML

Papers citing "Prototypical Networks for Few-shot Learning"

18 / 3,468 papers shown
Title
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
209
1,244
0
10 Nov 2017
Learning Markov Chain in Unordered Dataset
Learning Markov Chain in Unordered Dataset
Yao-Hung Hubert Tsai
Haiying Zhao
Ruslan Salakhutdinov
Nebojsa Jojic
CML
95
1
0
08 Nov 2017
Learning with Latent Language
Learning with Latent Language
Jacob Andreas
Dan Klein
Sergey Levine
119
136
0
01 Nov 2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence
  Classification
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification
Jack Lanchantin
Arshdeep Sekhon
Ritambhara Singh
Yanjun Qi
59
1
0
30 Oct 2017
Improving One-Shot Learning through Fusing Side Information
Improving One-Shot Learning through Fusing Side Information
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
FedML
60
51
0
23 Oct 2017
Learning to Learn Image Classifiers with Visual Analogy
Learning to Learn Image Classifiers with Visual Analogy
Linjun Zhou
Peng Cui
Shiqiang Yang
Wenwu Zhu
Q. Tian
35
0
0
17 Oct 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural
  Network that Explains Its Predictions
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li
Hao Liu
Chaofan Chen
Cynthia Rudin
213
594
0
13 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive
  Environments
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat
Trapit Bansal
Yuri Burda
Ilya Sutskever
Igor Mordatch
Pieter Abbeel
CLL
90
354
0
10 Oct 2017
How intelligent are convolutional neural networks?
How intelligent are convolutional neural networks?
Zhennan Yan
Xiangmin Zhou
76
11
0
18 Sep 2017
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Stanislav Fort
50
82
0
09 Aug 2017
A Simple Neural Attentive Meta-Learner
A Simple Neural Attentive Meta-Learner
Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
OOD
109
200
0
11 Jul 2017
Few-Shot Learning Through an Information Retrieval Lens
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
74
239
0
09 Jul 2017
Labeled Memory Networks for Online Model Adaptation
Labeled Memory Networks for Online Model Adaptation
Shiv Shankar
Sunita Sarawagi
KELM
95
3
0
05 Jul 2017
Discriminative k-shot learning using probabilistic models
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
93
71
0
01 Jun 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
99
46
0
11 May 2017
Generative Adversarial Residual Pairwise Networks for One Shot Learning
Generative Adversarial Residual Pairwise Networks for One Shot Learning
A. Mehrotra
Ambedkar Dukkipati
GAN
92
110
0
23 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
1.2K
12,024
0
09 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
373
1,551
0
25 Jan 2017
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