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Meta-Learning of Neural Architectures for Few-Shot Learning

Meta-Learning of Neural Architectures for Few-Shot Learning

25 November 2019
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
ArXivPDFHTML

Papers citing "Meta-Learning of Neural Architectures for Few-Shot Learning"

29 / 29 papers shown
Title
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
26
0
0
07 May 2025
Robust and Efficient Transfer Learning via Supernet Transfer in
  Warm-started Neural Architecture Search
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search
Prabhant Singh
Joaquin Vanschoren
AAML
OOD
39
0
0
26 Jul 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and
  Hessian-free Solution Strategy
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
49
6
0
16 May 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via
  Temporal-Viewpoint Alignment
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
33
9
0
07 Feb 2024
What Can AutoML Do For Continual Learning?
What Can AutoML Do For Continual Learning?
Mert Kilickaya
Joaquin Vanschoren
30
1
0
20 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with
  Meta-learning
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
Huan Zhang
Jinliang Ding
Liang Feng
Kay Chen Tan
Ke Li
31
3
0
19 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models
Few-shot Action Recognition with Captioning Foundation Models
Xiang Wang
Shiwei Zhang
Hangjie Yuan
Yingya Zhang
Changxin Gao
Deli Zhao
Nong Sang
VLM
30
7
0
16 Oct 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
38
5
0
30 Jan 2023
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
Lei Wang
Piotr Koniusz
42
27
0
30 Oct 2022
Meta-Ensemble Parameter Learning
Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
OOD
44
2
0
05 Oct 2022
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
Not All Instances Contribute Equally: Instance-adaptive Class
  Representation Learning for Few-Shot Visual Recognition
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
M. Han
Yibing Zhan
Yong Luo
Bo Du
Han Hu
Yonggang Wen
Dacheng Tao
19
6
0
07 Sep 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
29
1
0
12 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
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so
  Naïve
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve
Lei Wang
Jun Liu
Piotr Koniusz
27
20
0
23 Dec 2021
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
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
82
448
0
13 Jul 2021
Bag of Tricks for Neural Architecture Search
Bag of Tricks for Neural Architecture Search
T. Elsken
B. Staffler
Arber Zela
J. H. Metzen
Frank Hutter
27
5
0
08 Jul 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
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
Sung Ju Hwang
21
26
0
16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive
  Few-shot Learning
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan CHEN
Xiaoshan Yang
Changsheng Xu
Xuhui Huang
Zhe Ma
28
50
0
16 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections
  to Weight-Sharing
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
M. Khodak
Renbo Tu
Tian Li
Liam Li
Maria-Florina Balcan
Virginia Smith
Ameet Talwalkar
FedML
40
78
0
08 Jun 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
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
58
1,935
0
11 Apr 2020
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 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
365
11,700
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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