Task-Agnostic Meta-Learning for Few-shot Learning

20 May 2018

Guo-Jun Qi

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

25 / 175 papers shown

Title
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 Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 12 130 0 22 May 2020
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 Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah CLL OOD 19 153 0 25 Mar 2020
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 26 261 0 24 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 21 110 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 153 11 0 11 Feb 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 30 3 0 09 Feb 2020
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 Haohang Xu H. Xiong Guojun Qi 13 2 0 29 Dec 2019
Towards Contextual Learning in Few-shot Object Classification M. Fortin B. Chaib-draa 21 3 0 13 Dec 2019
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 9 185 0 09 Dec 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 20 7 0 16 Nov 2019
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 Jyoti Narwariya Pankaj Malhotra L. Vig Gautam M. Shroff T. Vishnu 70 59 0 13 Sep 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 12 17 0 06 Aug 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 19 92 0 06 Jul 2019
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 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 Guo-Jun Qi Jiebo Luo SSL 6 238 0 27 Mar 2019
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 Antreas Antoniou Harrison Edwards Amos Storkey 12 769 0 22 Oct 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 26 71 0 14 Aug 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 18 41 0 08 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017