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A Closer Look at Few-shot Classification

A Closer Look at Few-shot Classification

8 April 2019
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
ArXivPDFHTML

Papers citing "A Closer Look at Few-shot Classification"

43 / 843 papers shown
Title
Meta-Neighborhoods
Meta-Neighborhoods
Siyuan Shan
Yang Li
Junier Oliva
27
13
0
18 Sep 2019
ProtoGAN: Towards Few Shot Learning for Action Recognition
ProtoGAN: Towards Few Shot Learning for Action Recognition
Sai Kumar Dwivedi
Vikram Gupta
Rahul Mitra
Shuaib Ahmed
Arjun Jain
27
94
0
17 Sep 2019
Learning to Propagate for Graph Meta-Learning
Learning to Propagate for Graph Meta-Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
29
96
0
11 Sep 2019
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Yongseok Choi
Junyoung Park
Subin Yi
D.-Y. Cho
OOD
19
0
0
11 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
29
86
0
10 Sep 2019
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
36
575
0
06 Sep 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
34
166
0
16 Aug 2019
Meta Reasoning over Knowledge Graphs
Meta Reasoning over Knowledge Graphs
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
ReLM
LRM
42
8
0
13 Aug 2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained
  Image Classification
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Huaxi Huang
Junjie Zhang
Jian Zhang
Jingsong Xu
Qiang Wu
27
119
0
04 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
18
327
0
28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person
  Action Recognition
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
Huseyin Coskun
Zeeshan Zia
Bugra Tekin
Federica Bogo
Nassir Navab
Federico Tombari
H. Sawhney
20
27
0
22 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
19
93
0
06 Jul 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
27
235
0
27 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning
Boosting Supervision with Self-Supervision for Few-shot Learning
Jong-Chyi Su
Subhransu Maji
B. Hariharan
SSL
AI4MH
20
19
0
17 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot
  Recognition
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Ping Hu
Ximeng Sun
Kate Saenko
Stan Sclaroff
OCL
CoGe
18
24
0
11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
25
59
0
07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods
Adaptive Gradient-Based Meta-Learning Methods
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
33
353
0
06 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Baby steps towards few-shot learning with multiple semantics
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
33
105
0
05 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification
Regression Networks for Meta-Learning Few-Shot Classification
A. Devos
Matthias Grossglauser
22
12
0
31 May 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
27
29
0
28 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category
  Traversal
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li
David Eigen
Samuel F. Dodge
Matthew D. Zeiler
Xiaogang Wang
VLM
27
339
0
27 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
23
17
0
24 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
25
272
0
16 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
27
169
0
10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot
  Learning on Category Graph
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
24
71
0
10 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
33
128
0
17 Apr 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
39
612
0
13 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval
  Task
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
Kenta Hama
Takashi Matsubara
K. Uehara
Jianfei Cai
BDL
UQCV
21
6
0
09 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
25
283
0
03 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
6
195
0
27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
14
238
0
27 Mar 2019
GOGGLES: Automatic Image Labeling with Affinity Coding
GOGGLES: Automatic Image Labeling with Affinity Coding
Nilaksh Das
Sanya Chaba
Renzhi Wu
Sakshi Gandhi
Duen Horng Chau
Xu Chu
VLM
19
33
0
11 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
51
612
0
07 Mar 2019
Learning Compositional Representations for Few-Shot Recognition
Learning Compositional Representations for Few-Shot Recognition
P. Tokmakov
Yu-xiong Wang
M. Hebert
OCL
13
124
0
21 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
68
657
0
10 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
29
266
0
06 Dec 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
36
18
0
17 Nov 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
30
181
0
16 Oct 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
91
1,309
0
23 May 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 Feb 2018
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
383
11,700
0
09 Mar 2017
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