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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
Generalized Few-Shot Video Classification with Video Retrieval and
  Feature Generation
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation
Yongqin Xian
Bruno Korbar
Matthijs Douze
Lorenzo Torresani
Bernt Schiele
Zeynep Akata
VGen
18
18
0
09 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier
Predicting the Accuracy of a Few-Shot Classifier
Myriam Bontonou
Louis Bethune
Vincent Gripon
8
4
0
08 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang
Henrik Marklund
Nikita Dhawan
Abhishek Gupta
Sergey Levine
Chelsea Finn
OOD
13
199
0
06 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation
  Graphs
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
Jian Tang
BDL
31
106
0
05 Jul 2020
Classification of cancer pathology reports: a large-scale comparative
  study
Classification of cancer pathology reports: a large-scale comparative study
S. Martina
L. Ventura
P. Frasconi
27
11
0
29 Jun 2020
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Hanan Hindy
Christos Tachtatzis
Robert C. Atkinson
David Brosset
Miroslav Bures
I. Andonovic
W. Michie
X. Bellekens
AAML
11
25
0
27 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
Jianling Wang
Jundong Li
Kai Shu
Chenghao Liu
Huan Liu
25
156
0
23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
31
3
0
23 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
39
105
0
22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
21
42
0
21 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
29
125
0
21 Jun 2020
Unsupervised Image Classification for Deep Representation Learning
Unsupervised Image Classification for Deep Representation Learning
Weijie Chen
Shiliang Pu
Di Xie
Shicai Yang
Yilu Guo
Luojun Lin
SSL
VLM
31
14
0
20 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
26
50
0
19 Jun 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
33
262
0
18 Jun 2020
Extensively Matching for Few-shot Learning Event Detection
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
26
60
0
17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
31
91
0
17 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
26
74
0
16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin
G. Thomas
Guangwen Yang
Tengyu Ma
OOD
27
52
0
16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
23
11
0
15 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
42
161
0
14 Jun 2020
Few-shot Object Detection on Remote Sensing Images
Few-shot Object Detection on Remote Sensing Images
J. Deng
Xiang Li
Yi Fang
ObjD
18
131
0
14 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel
  Regression
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
33
8
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
26
103
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
27
34
0
11 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
19
87
0
11 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
41
479
0
10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Andrei Boiarov
O. Granichin
O. Granichina
45
6
0
09 Jun 2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain
  Adaptation
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang
Qicheng Lao
Stan Matwin
Mohammad Havaei
33
110
0
09 Jun 2020
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person
  Re-identification
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification
Zhizheng Zhang
Cuiling Lan
Wenjun Zeng
Zhibo Chen
Shih-Fu Chang
32
12
0
08 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
29
25
0
08 Jun 2020
Multi-view Contrastive Learning for Online Knowledge Distillation
Multi-view Contrastive Learning for Online Knowledge Distillation
Chuanguang Yang
Zhulin An
Yongjun Xu
24
23
0
07 Jun 2020
Distributionally Robust Weighted $k$-Nearest Neighbors
Distributionally Robust Weighted kkk-Nearest Neighbors
Shixiang Zhu
Liyan Xie
Minghe Zhang
Rui Gao
Yao Xie
OOD
21
7
0
07 Jun 2020
Interpretable Time-series Classification on Few-shot Samples
Interpretable Time-series Classification on Few-shot Samples
Wensi Tang
Lu Liu
Guodong Long
AI4TS
8
20
0
03 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
24
193
0
28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDL
EDL
28
89
0
27 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
B. Haney
Alexander Lavin
19
4
0
23 May 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and
  Few-Shot New Disease Adaption
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
Hongyin Luo
Shang-Wen Li
James R. Glass
BDL
MedIm
27
9
0
19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
23
14
0
19 May 2020
Two-View Fine-grained Classification of Plant Species
Two-View Fine-grained Classification of Plant Species
Voncarlos M. Araújo
A. Britto
L. S. Oliveira
Alessandro Lameiras Koerich
27
20
0
18 May 2020
Metric Learning for Keyword Spotting
Metric Learning for Keyword Spotting
Jaesung Huh
Minjae Lee
Hee-Soo Heo
Seongkyu Mun
Joon Son Chung
21
23
0
18 May 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Aditya M. Deshpande
A. Minai
Manish Kumar
16
58
0
12 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
87
956
0
11 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
21
47
0
09 May 2020
One-Shot Image Classification by Learning to Restore Prototypes
One-Shot Image Classification by Learning to Restore Prototypes
Wanqi Xue
Wei Wang
VLM
19
52
0
04 May 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
32
5
0
30 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
42
28
0
29 Apr 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to
  COVID-19 Diagnosis: A Review
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
Mahdi Rezaei
Mahsa Shahidi
29
53
0
29 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
30
125
0
27 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
39
403
0
23 Apr 2020
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer
  Learning
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Manish Bhattarai
Diane Oyen
Juan Castorena
Liping Yang
B. Wohlberg
14
9
0
22 Apr 2020
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