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Meta-Transfer Learning for Few-Shot Learning

Meta-Transfer Learning for Few-Shot Learning

6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
ArXivPDFHTML

Papers citing "Meta-Transfer Learning for Few-Shot Learning"

50 / 408 papers shown
Title
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
Rohit Jena
Shirsendu Sukanta Halder
Katia P. Sycara
VLM
12
1
0
10 Apr 2020
Learning to Segment the Tail
Learning to Segment the Tail
Xinting Hu
Yi Jiang
Kaihua Tang
Jingyuan Chen
C. Miao
Hanwang Zhang
VLM
CLL
11
80
0
02 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
12
39
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
15
204
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
9
26
0
30 Mar 2020
Domain-Adaptive Few-Shot Learning
Domain-Adaptive Few-Shot Learning
An Zhao
Mingyu Ding
Zhiwu Lu
Tao Xiang
Yulei Niu
Jiechao Guan
Ji-Rong Wen
Ping Luo
20
69
0
19 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
11
142
0
17 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
13
110
0
15 Mar 2020
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG
  Classification
Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
Tiehang Duan
Mihir Chauhan
Mohammad Abuzar Shaikh
Jun Chu
S. Srihari
4
19
0
13 Mar 2020
Incremental Few-Shot Object Detection
Incremental Few-Shot Object Detection
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
ObjD
CLL
6
218
0
10 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
158
339
0
09 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
191
0
09 Mar 2020
MatchingGAN: Matching-based Few-shot Image Generation
MatchingGAN: Matching-based Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
VLM
GAN
43
68
0
07 Mar 2020
Introduction to deep learning
Introduction to deep learning
Lihi Shiloh-Perl
Raja Giryes
6
0
0
29 Feb 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
22
213
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
17
283
0
27 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
6
336
0
24 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Jia Tian
Tao Xiang
Ji-Rong Wen
148
11
0
11 Feb 2020
GradMix: Multi-source Transfer across Domains and Tasks
GradMix: Multi-source Transfer across Domains and Tasks
Junnan Li
Ziwei Xu
Yongkang Wong
Qi Zhao
Mohan S. Kankanhalli
8
7
0
09 Feb 2020
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Fei Chao
Chih-Min Lin
59
33
0
08 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
6
12
0
06 Feb 2020
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge
H. Pasandi
T. Nadeem
6
28
0
05 Feb 2020
Crowdsourcing the Perception of Machine Teaching
Crowdsourcing the Perception of Machine Teaching
Jonggi Hong
Kyungjun Lee
June Xu
Hernisa Kacorri
HAI
LRM
4
29
0
05 Feb 2020
Continual Local Replacement for Few-shot Learning
Continual Local Replacement for Few-shot Learning
Canyu Le
Zhonggui Chen
Xihan Wei
Biao Wang
Lei Zhang
BDL
CLL
8
2
0
23 Jan 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Seobin Park
Jinsu Yoo
Donghyeon Cho
Jiwon Kim
Tae Hyun Kim
SupR
23
83
0
09 Jan 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon
Youngoh Bang
Simon S. Woo
8
54
0
05 Jan 2020
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
25
0
0
17 Dec 2019
Towards Contextual Learning in Few-shot Object Classification
Towards Contextual Learning in Few-shot Object Classification
M. Fortin
B. Chaib-draa
19
3
0
13 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
6
149
0
11 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition
A Two-Stage Approach to Few-Shot Learning for Image Recognition
Debasmit Das
C. S. George Lee
15
124
0
10 Dec 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Mingming Gong
Wei Liu
25
10
0
28 Nov 2019
Generalized Adaptation for Few-Shot Learning
Liang Song
Jinlu Liu
Yongqiang Qin
VLM
19
8
0
25 Nov 2019
Defensive Few-shot Learning
Defensive Few-shot Learning
Wenbin Li
Lei Wang
Xingxing Zhang
Lei Qi
Jing Huo
Yang Gao
Jiebo Luo
12
7
0
16 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
11
108
0
14 Nov 2019
Learning to Customize Model Structures for Few-shot Dialogue Generation
  Tasks
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Yiping Song
Zequn Liu
Wei Bi
Rui Yan
Ming Zhang
14
34
0
31 Oct 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
202
629
0
17 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
11
98
0
07 Oct 2019
Revisiting Fine-tuning for Few-shot Learning
Revisiting Fine-tuning for Few-shot Learning
Akihiro Nakamura
Tatsuya Harada
32
52
0
01 Oct 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
  Applications and Promises
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
F. Mohammadi
M. Amini
H. Arabnia
OffRL
26
22
0
26 Aug 2019
Low-Resource Name Tagging Learned with Weakly Labeled Data
Low-Resource Name Tagging Learned with Weakly Labeled Data
Yixin Cao
Zikun Hu
Tat-Seng Chua
Zhiyuan Liu
Heng Ji
NoLa
14
77
0
26 Aug 2019
Deep Ancient Roman Republican Coin Classification via Feature Fusion and
  Attention
Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention
Hafeez Anwar
Saeed Anwar
S. Zambanini
Fatih Porikli
20
7
0
26 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
26
166
0
16 Aug 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
11
92
0
06 Jul 2019
Zero-Shot Image Classification Using Coupled Dictionary Embedding
Zero-Shot Image Classification Using Coupled Dictionary Embedding
Mohammad Rostami
Soheil Kolouri
Zak Murez
Yuri Owekcho
Eric Eaton
Kuyngnam Kim
VLM
9
15
0
10 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
17
59
0
07 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
11
267
0
03 Jun 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
11
169
0
10 May 2019
A Novel BiLevel Paradigm for Image-to-Image Translation
A Novel BiLevel Paradigm for Image-to-Image Translation
Liqian Ma
Qianru Sun
Bernt Schiele
Luc Van Gool
4
5
0
18 Apr 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
17
128
0
17 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan V. Oseledets
Victor Lempitsky
6
282
0
03 Apr 2019
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