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Prototypical Networks for Few-shot Learning

Prototypical Networks for Few-shot Learning

15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
ArXivPDFHTML

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,375 papers shown
Title
Alleviating the Incompatibility between Cross Entropy Loss and Episode
  Training for Few-shot Skin Disease Classification
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
51
17
0
21 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
28
32
0
20 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
28
35
0
17 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient Dropout
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
22
34
0
13 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu
Wei Zhai
Zhengjun Zha
Yang Cao
16
28
0
12 Apr 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu
Leida Li
Jinjian Wu
W. Dong
Guangming Shi
53
275
0
11 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
100
1,939
0
11 Apr 2020
Orthogonal Over-Parameterized Training
Orthogonal Over-Parameterized Training
Weiyang Liu
Rongmei Lin
Zhen Liu
James M. Rehg
Liam Paull
Li Xiong
Le Song
Adrian Weller
32
41
0
09 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and
  Outlook for Relation Extraction
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
Xu Han
Tianyu Gao
Yankai Lin
Hao Peng
Yaoliang Yang
Chaojun Xiao
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
32
132
0
07 Apr 2020
Meta-Learning for Short Utterance Speaker Recognition with Imbalance
  Length Pairs
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
Seong Min Kye
Youngmoon Jung
Haebeom Lee
Sung Ju Hwang
Hoirin Kim
38
49
0
06 Apr 2020
Learning to Select Base Classes for Few-shot Classification
Learning to Select Base Classes for Few-shot Classification
Linjun Zhou
Peng Cui
Xu Jia
Shiqiang Yang
Q. Tian
22
26
0
01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
18
39
0
01 Apr 2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets
  without Superior Knowledge
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Long Zhao
Xi Peng
Yuxiao Chen
Mubbasir Kapadia
Dimitris N. Metaxas
16
66
0
01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
23
205
0
31 Mar 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan
Jin-Gang Yu
Zhihao Liang
Jiarong Ou
Changxin Gao
Guisong Xia
Yuanqing Li
29
69
0
31 Mar 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
Rongchang Xie
Chunyu Wang
Yizhou Wang
21
26
0
30 Mar 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
57
433
0
30 Mar 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve
Haggai Maron
Gal Chechik
3DPC
40
160
0
29 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
35
20
0
29 Mar 2020
One-Shot GAN Generated Fake Face Detection
One-Shot GAN Generated Fake Face Detection
Hadi Mansourifar
W. Shi
CVBM
22
10
0
27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng-Wei Zhang
Mingsheng Long
Han Hu
37
318
0
26 Mar 2020
In defence of metric learning for speaker recognition
In defence of metric learning for speaker recognition
Joon Son Chung
Jaesung Huh
Seongkyu Mun
Minjae Lee
Hee-Soo Heo
Soyeon Choe
Chiheon Ham
Sung-Ye Jung
Bong-Jin Lee
Icksang Han
32
433
0
26 Mar 2020
Instance Credibility Inference for Few-Shot Learning
Instance Credibility Inference for Few-Shot Learning
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
27
160
0
26 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation
CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
SSeg
163
192
0
24 Mar 2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng
Di Huang
Songtao Liu
Yunhong Wang
ObjD
168
199
0
23 Mar 2020
Additive Angular Margin for Few Shot Learning to Classify Clinical
  Endoscopy Images
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Sharib Ali
Binod Bhattarai
Tae-Kyun Kim
J. Rittscher
43
18
0
23 Mar 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
41
12
0
20 Mar 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
33
49
0
20 Mar 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Yike Guo
29
0
0
19 Mar 2020
An Artificial Intelligence-Based System to Assess Nutrient Intake for
  Hospitalised Patients
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
Ya Lu
Thomai Stathopoulou
Maria F. Vasiloglou
Stergios Christodoulidis
Z. Stanga
Stavroula Mougiakakou
3DH
14
46
0
18 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
34
5
0
18 Mar 2020
Learning Meta Face Recognition in Unseen Domains
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBM
OOD
24
142
0
17 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
CLL
VLM
179
98
0
17 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
104
544
0
16 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky
J. Shtok
Amit Alfassy
M. Lichtenstein
Sivan Harary
...
Sivan Doveh
P. Sattigeri
Rogerio Feris
A. Bronstein
Raja Giryes
14
6
0
15 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
4
192
0
09 Mar 2020
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Dongxu Li
Xin Yu
Chenchen Xu
L. Petersson
Hongdong Li
SLR
36
104
0
08 Mar 2020
Lightweight Speaker Verification for Online Identification of New
  Speakers with Short Segments
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
I. Vélez
C. Rascón
Gibran Fuentes Pineda
29
10
0
06 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
PAC-Bayes meta-learning with implicit task-specific posteriors
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
51
7
0
05 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
32
117
0
27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
30
283
0
27 Feb 2020
Generalized Product Quantization Network for Semi-supervised Image
  Retrieval
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Young Kyun Jang
N. Cho
26
38
0
26 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
31
90
0
21 Feb 2020
Few-shot acoustic event detection via meta-learning
Few-shot acoustic event detection via meta-learning
Bowen Shi
Ming Sun
Krishna C. Puvvada
Chieh-Chi Kao
Spyros Matsoukas
Chao Wang
30
60
0
21 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
28
49
0
18 Feb 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle
  Inequality
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality
Silviu Pitis
Harris Chan
Kiarash Jamali
Jimmy Ba
8
24
0
14 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot
  Event Classification
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
23
40
0
13 Feb 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
34
3
0
09 Feb 2020
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Rongrong Ji
Chih-Min Lin
67
33
0
08 Feb 2020
Meta-learning framework with applications to zero-shot time-series
  forecasting
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCV
AI4TS
AI4CE
41
106
0
07 Feb 2020
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