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Meta-Transfer Learning for Few-Shot Learning
v1v2v3 (latest)

Meta-Transfer Learning for Few-Shot Learning

6 December 2018
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
ArXiv (abs)PDFHTML

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

19 / 419 papers shown
Title
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot ClassificationNeural Information Processing Systems (NeurIPS), 2019
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
406
738
0
17 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
173
118
0
07 Oct 2019
Revisiting Fine-tuning for Few-shot Learning
Revisiting Fine-tuning for Few-shot Learning
Akihiro Nakamura
Tatsuya Harada
256
62
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 PromisesAdvances in Intelligent Systems and Computing (AISC), 2019
F. Mohammadi
M. Amini
H. Arabnia
OffRL
123
24
0
26 Aug 2019
Low-Resource Name Tagging Learned with Weakly Labeled Data
Low-Resource Name Tagging Learned with Weakly Labeled DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Yixin Cao
Zikun Hu
Tat-Seng Chua
Zhiyuan Liu
Heng Ji
NoLa
133
82
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
125
7
0
26 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional SignaturesInternational Conference on Learning Representations (ICLR), 2019
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
264
179
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
158
103
0
06 Jul 2019
Zero-Shot Image Classification Using Coupled Dictionary Embedding
Zero-Shot Image Classification Using Coupled Dictionary EmbeddingMachine Learning with Applications (MLWA), 2019
Mohammad Rostami
Soheil Kolouri
Zak Murez
Yuri Owekcho
Eric Eaton
Kuyngnam Kim
VLM
147
16
0
10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
221
63
0
07 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Learning to Self-Train for Semi-Supervised Few-Shot ClassificationNeural Information Processing Systems (NeurIPS), 2019
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
177
295
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 TrainingIEEE International Conference on Computer Vision (ICCV), 2019
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
158
183
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
188
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
306
134
0
17 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
234
347
0
03 Apr 2019
Image Generation From Small Datasets via Batch Statistics Adaptation
Image Generation From Small Datasets via Batch Statistics Adaptation
Atsuhiro Noguchi
Tatsuya Harada
272
208
0
03 Apr 2019
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Yunxiao Qin
Weiguo Zhang
Chenxu Zhao
Zezheng Wang
Xiangyu Zhu
Guojun Qi
Jingping Shi
Zhen Lei
214
29
0
11 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
226
95
0
28 Nov 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
101
18
0
17 Nov 2018
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