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Auto-Meta: Automated Gradient Based Meta Learner Search

Auto-Meta: Automated Gradient Based Meta Learner Search

11 June 2018
Jaehong Kim
Sangyeul Lee
Sungwan Kim
Moonsu Cha
Jung Kwon Lee
Youngduck Choi
Yongseok Choi
Dong-Yeon Cho
Jiwon Kim
    AI4CE
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Papers citing "Auto-Meta: Automated Gradient Based Meta Learner Search"

26 / 26 papers shown
Title
Fast and Efficient Local Search for Genetic Programming Based Loss
  Function Learning
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
46
2
0
01 Mar 2024
Subspace Adaptation Prior for Few-Shot Learning
Subspace Adaptation Prior for Few-Shot Learning
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
26
2
0
13 Oct 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
35
5
0
30 Jan 2023
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
29
11
0
19 Sep 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Daiki Chijiwa
Shin'ya Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
24
8
0
31 May 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho
Kashu Yamazaki
Hieu T. Hoang
Minh-Triet Tran
Ngan Le
17
4
0
16 Mar 2022
Across-Task Neural Architecture Search via Meta Learning
Across-Task Neural Architecture Search via Meta Learning
Jingtao Rong
Xinyi Yu
Mingyang Zhang
L. Ou
25
1
0
12 Oct 2021
Rapid Model Architecture Adaption for Meta-Learning
Rapid Model Architecture Adaption for Meta-Learning
Yiren Zhao
Xitong Gao
Ilia Shumailov
Nicolò Fusi
Robert D. Mullins
33
4
0
10 Sep 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
40
43
0
02 Jul 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
59
222
0
27 Jan 2021
NAS-FAS: Static-Dynamic Central Difference Network Search for Face
  Anti-Spoofing
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
Zitong Yu
Jun Wan
Yunxiao Qin
Xiaobai Li
Stan Z. Li
Guoying Zhao
CVBM
14
200
0
03 Nov 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable
  Architecture Search
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
Xin Chen
Yawen Duan
Zewei Chen
Hang Xu
Zihao Chen
Xiaodan Liang
Tong Zhang
Zhenguo Li
OffRL
13
21
0
18 Jul 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
33
16
0
21 Jun 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
14
35
0
17 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
55
1,928
0
11 Apr 2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep
  Neural Networks on the Standard Supervised Learning?
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
Xiang Deng
Zhongfei Zhang
AI4CE
4
5
0
27 Feb 2020
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
29
17
0
01 Dec 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
17
136
0
25 Nov 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
19
843
0
10 Sep 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,420
0
02 Aug 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
Provable Guarantees for Gradient-Based Meta-Learning
Provable Guarantees for Gradient-Based Meta-Learning
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
39
147
0
27 Feb 2019
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
28
229
0
04 Oct 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
362
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
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