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Task-Agnostic Meta-Learning for Few-shot Learning

Task-Agnostic Meta-Learning for Few-shot Learning

20 May 2018
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
ArXivPDFHTML

Papers citing "Task-Agnostic Meta-Learning for Few-shot Learning"

25 / 175 papers shown
Title
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
12
1
0
08 Jun 2020
A Concise Review of Recent Few-shot Meta-learning Methods
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li
Z. Sun
Jing-Hao Xue
Zhanyu Ma
VLM
OffRL
20
130
0
22 May 2020
Bridging the gap between Natural and Medical Images through Deep
  Colorization
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
MedIm
23
15
0
21 May 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
F. Khan
M. Shah
CLL
OOD
30
153
0
25 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
37
261
0
24 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
26
110
0
15 Mar 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Jia Tian
Tao Xiang
Ji-Rong Wen
164
11
0
11 Feb 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
32
3
0
09 Feb 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
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers
Haohang Xu
H. Xiong
Guojun Qi
13
2
0
29 Dec 2019
Towards Contextual Learning in Few-shot Object Classification
Towards Contextual Learning in Few-shot Object Classification
M. Fortin
B. Chaib-draa
21
3
0
13 Dec 2019
Meta-Learning without Memorization
Meta-Learning without Memorization
Mingzhang Yin
George Tucker
Mingyuan Zhou
Sergey Levine
Chelsea Finn
VLM
16
185
0
09 Dec 2019
Defensive Few-shot Learning
Defensive Few-shot Learning
Wenbin Li
Lei Wang
Xingxing Zhang
Lei Qi
Jing Huo
Yang Gao
Jiebo Luo
28
7
0
16 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
Meta-Learning for Few-Shot Time Series Classification
Meta-Learning for Few-Shot Time Series Classification
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
T. Vishnu
73
59
0
13 Sep 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Chen Ma
Chenxu Zhao
Hailin Shi
Li Chen
Junhai Yong
Dan Zeng
AAML
17
17
0
06 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
19
93
0
06 Jul 2019
A Survey of Optimization Methods from a Machine Learning Perspective
A Survey of Optimization Methods from a Machine Learning Perspective
Shiliang Sun
Zehui Cao
Han Zhu
Jing Zhao
22
548
0
17 Jun 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for
  Few-Shot Learning
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Duo Wang
Yu Cheng
Mo Yu
Xiaoxiao Guo
Zhang Tao
VLM
8
3
0
04 Apr 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
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning
  Problem
Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem
Steven G. McDonagh
Sarah Parisot
Fengwei Zhou
Xingzhi Zhang
A. Leonardis
Zhenguo Li
Greg Slabaugh
8
8
0
28 Nov 2018
How to train your MAML
How to train your MAML
Antreas Antoniou
Harrison Edwards
Amos Storkey
12
769
0
22 Oct 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
Adversarial Meta-Learning
Adversarial Meta-Learning
Chengxiang Yin
Jian Tang
Zhiyuan Xu
Yanzhi Wang
26
41
0
08 Jun 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
338
11,684
0
09 Mar 2017
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