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Meta-Learning in Neural Networks: A Survey

Meta-Learning in Neural Networks: A Survey

11 April 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
    OOD
ArXivPDFHTML

Papers citing "Meta-Learning in Neural Networks: A Survey"

50 / 832 papers shown
Title
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
35
1
0
29 Jul 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary
  Differential Equations
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
Achkan Salehi
Steffen Rühl
Stéphane Doncieux
AI4CE
21
2
0
25 Jul 2022
MetaComp: Learning to Adapt for Online Depth Completion
MetaComp: Learning to Adapt for Online Depth Completion
Y. Chen
Shanshan Zhao
Wei Ji
Biwei Huang
Liping Xie
OOD
CLL
VLM
51
1
0
21 Jul 2022
Learning Knowledge Representation with Meta Knowledge Distillation for
  Single Image Super-Resolution
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution
Ziru Xu
Zhenzhong Chen
Shan Liu
SupR
19
3
0
18 Jul 2022
Multi-Task and Transfer Learning for Federated Learning Applications
Multi-Task and Transfer Learning for Federated Learning Applications
Cihat Keçeci
M. Shaqfeh
Hayat Mbayed
E. Serpedin
FedML
27
3
0
17 Jul 2022
Feed-Forward Latent Domain Adaptation
Feed-Forward Latent Domain Adaptation
Ondrej Bohdal
Da Li
S. Hu
Timothy M. Hospedales
OOD
41
1
0
15 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies
  in Stochastic Environments
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
Bastian Alt
Darko Katic
Rainer Jäkel
Michael Beetz
25
6
0
15 Jul 2022
A Meta-learning Formulation of the Autoencoder Problem for Non-linear
  Dimensionality Reduction
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction
Andrey A. Popov
A. Sarshar
Austin Chennault
Adrian Sandu
17
2
0
14 Jul 2022
Effective Few-Shot Named Entity Linking by Meta-Learning
Effective Few-Shot Named Entity Linking by Meta-Learning
Xiuxing Li
Zhenyu Li
Zhengyan Zhang
Ning Liu
Haitao Yuan
Wei Zhang
Zhiyuan Liu
Jianyong Wang
OffRL
32
10
0
12 Jul 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent
  Reinforcement Learning
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Lukas Schafer
Filippos Christianos
Amos Storkey
Stefano V. Albrecht
19
6
0
05 Jul 2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines with Omnipotent Feature Learning
Ruoyu Feng
Xin Jin
Zongyu Guo
Runsen Feng
Yixin Gao
Tianyu He
Zhizheng Zhang
Simeng Sun
Zhibo Chen
VLM
37
36
0
05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
Adaptive Fine-Grained Sketch-Based Image Retrieval
A. Bhunia
Aneeshan Sain
Parth Shah
Animesh Gupta
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
59
21
0
04 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
Jiahui Wang
H. Zhu
Haoren Guo
Abdullah Al Mamun
V. Prahlad
T. Lee
3DPC
37
4
0
04 Jul 2022
Deep Learning and Symbolic Regression for Discovering Parametric
  Equations
Deep Learning and Symbolic Regression for Discovering Parametric Equations
Michael Zhang
Samuel Kim
Peter Y. Lu
M. Soljavcić
29
19
0
01 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
18
12
0
28 Jun 2022
p-Meta: Towards On-device Deep Model Adaptation
p-Meta: Towards On-device Deep Model Adaptation
Zhongnan Qu
Zimu Zhou
Yongxin Tong
Lothar Thiele
18
13
0
25 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in
  spiking neural networks
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall
Joe Hays
44
3
0
25 Jun 2022
Review Neural Networks about Image Transformation Based on IGC Learning
  Framework with Annotated Information
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Yuanjie Yan
Suorong Yang
Yan Wang
Jian Zhao
S. Furao
21
0
0
21 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image
  Classification
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
32
9
0
20 Jun 2022
Actively learning to learn causal relationships
Actively learning to learn causal relationships
Chentian Jiang
Christopher G. Lucas
22
3
0
20 Jun 2022
EEML: Ensemble Embedded Meta-learning
EEML: Ensemble Embedded Meta-learning
Geng Li
Boyuan Ren
Hongzhi Wang
FedML
15
2
0
18 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with
  SGD
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Yu Huang
Yingbin Liang
Longbo Huang
MLT
30
8
0
18 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard Turner
3DH
FedML
46
27
0
17 Jun 2022
Principled Acceleration of Iterative Numerical Methods Using Machine
  Learning
Principled Acceleration of Iterative Numerical Methods Using Machine Learning
S. Arisaka
Qianxiao Li
27
5
0
17 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone
  fine-tuning without episodic meta-learning dominates for few-shot learning
  image classification
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Adrian El Baz
Ihsan Ullah
Edesio Alcobaça
André C. P. L. F. de Carvalho
Hong Chen
...
Ekrem Öztürk
J. V. Rijn
Haozhe Sun
Xin Wang
Wenwu Zhu
38
12
0
15 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
Few-Shot Learning by Dimensionality Reduction in Gradient Space
M. Gauch
M. Beck
Thomas Adler
D. Kotsur
Stefan Fiel
...
Markus Holzleitner
Werner Zellinger
D. Klotz
Sepp Hochreiter
Sebastian Lehner
46
9
0
07 Jun 2022
Dynamic Kernel Selection for Improved Generalization and Memory
  Efficiency in Meta-learning
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
Arnav Chavan
Rishabh Tiwari
Udbhav Bamba
D. K. Gupta
33
5
0
03 Jun 2022
Online Meta-Learning in Adversarial Multi-Armed Bandits
Online Meta-Learning in Adversarial Multi-Armed Bandits
Ilya Osadchiy
Kfir Y. Levy
Ron Meir
34
3
0
31 May 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
Marcin Przewiȩźlikowski
P. Przybysz
Jacek Tabor
Maciej Ziȩba
Przemysław Spurek
28
19
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
186
49
0
30 May 2022
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
70
51
0
30 May 2022
Using Natural Language and Program Abstractions to Instill Human
  Inductive Biases in Machines
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
Sreejan Kumar
Carlos G. Correa
Ishita Dasgupta
Raja Marjieh
Michael Y. Hu
Robert D. Hawkins
Nathaniel D. Daw
Jonathan D. Cohen
Karthik R. Narasimhan
Thomas Griffiths
AI4CE
22
30
0
23 May 2022
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects
Ni Gao
Jingyu Zhang
Ruijie Chen
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
41
10
0
23 May 2022
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey
Gaoang Wang
Xiuming Zhang
Lei Li
VOT
61
15
0
22 May 2022
Cross-subject Action Unit Detection with Meta Learning and
  Transformer-based Relation Modeling
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
Jiyuan Cao
Zhilei Liu
Yong Zhang
ViT
29
2
0
18 May 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Abdul Rahman Sani
M. Hassan
Jinjun Chen
36
10
0
17 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
79
170
0
13 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches
Modeling Human Behavior Part I -- Learning and Belief Approaches
Andrew Fuchs
A. Passarella
M. Conti
38
7
0
13 May 2022
Meta Learning for Natural Language Processing: A Survey
Meta Learning for Natural Language Processing: A Survey
Hung-yi Lee
Shang-Wen Li
Ngoc Thang Vu
57
42
0
03 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
38
26
0
03 May 2022
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with
  Subjective Tinnitus
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
Yun Yvonna Li
Zhe Liu
Lina Yao
Molly V. Lucas
Jessica J.M.Monaghan
Yu Zhang
22
7
0
03 May 2022
Self-Programming Artificial Intelligence Using Code-Generating Language
  Models
Self-Programming Artificial Intelligence Using Code-Generating Language Models
Alex Sheng
Shankar Padmanabhan
SyDa
17
2
0
30 Apr 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
24
20
0
28 Apr 2022
Meta Transfer Learning for Early Success Prediction in MOOCs
Meta Transfer Learning for Early Success Prediction in MOOCs
Vinitra Swamy
Mirko Marras
Tanja Kaser
AI4Ed
33
19
0
25 Apr 2022
Few-shot learning for medical text: A systematic review
Few-shot learning for medical text: A systematic review
Yao Ge
Yuting Guo
Yuan-Chi Yang
M. Al-garadi
A. Sarker
24
21
0
21 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External
  Data and Fine-Tuning Make a Difference
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
27
189
0
15 Apr 2022
Control-oriented meta-learning
Control-oriented meta-learning
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
37
24
0
14 Apr 2022
Neuronal diversity can improve machine learning for physics and beyond
Neuronal diversity can improve machine learning for physics and beyond
A. Choudhary
Anil Radhakrishnan
J. Lindner
S. Sinha
W. Ditto
AI4CE
24
3
0
09 Apr 2022
Fusing finetuned models for better pretraining
Fusing finetuned models for better pretraining
Leshem Choshen
Elad Venezian
Noam Slonim
Yoav Katz
FedML
AI4CE
MoMe
54
87
0
06 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
30
27
0
06 Apr 2022
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