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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 / 1,405 papers shown
Title
A Mutual learning framework for Few-shot Sound Event Detection
A Mutual learning framework for Few-shot Sound Event Detection
Dongchao Yang
Helin Wang
Yuexian Zou
Zhongjie Ye
Wenwu Wang
34
25
0
09 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Li Niu
VLM
OffRL
21
2
0
06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-xiong Wang
43
13
0
06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
34
21
0
06 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
124
357
0
04 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers
  and Beyond
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
40
80
0
01 Oct 2021
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Elahe Vahdani
Yingli Tian
57
60
0
30 Sep 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
18
19
0
30 Sep 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic
  Analysis
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi Chen
Changjian Shui
M. Marchand
45
43
0
29 Sep 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Prasanna Balaprakash
CLL
59
30
0
28 Sep 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
46
37
0
28 Sep 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning
  for Semi-supervised Medical Image Segmentation
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Zhe Xu
Yixin Wang
Donghuan Lu
Lequan Yu
Jiangpeng Yan
Jie Luo
Kai Ma
Yefeng Zheng
Raymond Kai-Yu Tong
40
56
0
28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
59
53
0
28 Sep 2021
Template-free Prompt Tuning for Few-shot NER
Template-free Prompt Tuning for Few-shot NER
Ruotian Ma
Xin Zhou
Tao Gui
Y. Tan
Linyang Li
Qi Zhang
Xuanjing Huang
VLM
155
180
0
28 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous
  Meta-Learning
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
59
4
0
27 Sep 2021
Experience feedback using Representation Learning for Few-Shot Object
  Detection on Aerial Images
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
M. Lebbah
Anissa Zergaïnoh-Mokraoui
Hanene Azzag
ObjD
30
9
0
27 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLL
ObjD
31
9
0
23 Sep 2021
Learning by Examples Based on Multi-level Optimization
Learning by Examples Based on Multi-level Optimization
Shentong Mo
P. Xie
31
0
0
22 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using
  Relation Networks
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks
Amirreza Sobhdel
R. Razavi-Far
47
4
0
22 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
29
36
0
21 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Sai Vidyaranya Nuthalapati
Anirudh Tunga
30
32
0
21 Sep 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
35
28
0
20 Sep 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
A. Makarevich
Azade Farshad
Vasileios Belagiannis
Nassir Navab
54
10
0
18 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
42
181
0
17 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur
Vijay Kumar
D. Sharma
SSL
29
20
0
16 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
43
35
0
16 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee
Myunggi Lee
Nojun Kwak
ObjD
33
30
0
16 Sep 2021
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
Sarkar Snigdha Sarathi Das
Arzoo Katiyar
R. Passonneau
Rui Zhang
42
143
0
15 Sep 2021
Low-Resource Named Entity Recognition Based on Multi-hop Dependency
  Trigger
Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger
Jiang Wu
21
0
0
15 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski
M. Turk
VLM
MQ
27
5
0
14 Sep 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection
  via Causal Intervention
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
Jiawei Chen
Hongyu Lin
Xianpei Han
Le Sun
95
27
0
13 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
S. Song
Qisen Yang
Xiang Li
Gao Huang
37
23
0
13 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCL
SSL
40
4
0
13 Sep 2021
Learning from Language Description: Low-shot Named Entity Recognition
  via Decomposed Framework
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
Yaqing Wang
Haoda Chu
Chao Zhang
Jing Gao
38
39
0
11 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Lizhen Qu
Gholamreza Haffari
CLL
51
15
0
11 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
128
66
0
10 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Huaxiu Yao
Yingxin Wu
Maruan Al-Shedivat
Eric Xing
VLM
CLIP
72
11
0
10 Sep 2021
Predicting emergent linguistic compositions through time: Syntactic
  frame extension via multimodal chaining
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
Lei Yu
Yang Xu
37
8
0
10 Sep 2021
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
  Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong
Chunguang Pan
Zhipeng Luo
160
41
0
09 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
Michael Karnes
Shehan Perera
S. Adhikari
Alper Yilmaz
25
7
0
08 Sep 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
M Saiful Bari
Batool Haider
Saab Mansour
VLM
24
13
0
06 Sep 2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
P. H. T. Gama
Hugo Oliveira
J. M. Junior
J. D. Santos
VLM
32
19
0
03 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
73
0
31 Aug 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
32
16
0
29 Aug 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Chi Zhang
Guosheng Lin
Lvlong Lai
Henghui Ding
Qingyao Wu
31
1
0
29 Aug 2021
Prototype-Guided Memory Replay for Continual Learning
Prototype-Guided Memory Replay for Continual Learning
Stella Ho
Ming Liu
Lan Du
Longxiang Gao
Yong Xiang
CLL
18
30
0
28 Aug 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
35
5
0
27 Aug 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot Classification
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Chi Zhang
SSL
18
76
0
27 Aug 2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
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