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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 / 828 papers shown
Title
Tackling Noisy Clients in Federated Learning with End-to-end Label
  Correction
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
Xuefeng Jiang
Sheng Sun
Jia Li
Jingjing Xue
Runhan Li
Zhiyuan Wu
Gang Xu
Yuwei Wang
Min Liu
FedML
38
10
0
08 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment
  Gaps
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps
Yifan Zhu
Pranay Thangeda
Erica Tevere
Ashish Goel
Erik Kramer
Hari Nayar
Melkior Ornik
Kris K. Hauser
29
0
0
06 Aug 2024
Black box meta-learning intrinsic rewards for sparse-reward environments
Black box meta-learning intrinsic rewards for sparse-reward environments
Octavio Pappalardo
Rodrigo Ramele
Juan Miguel Santos
OffRL
40
0
0
31 Jul 2024
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios
Designing Time-Series Models With Hypernetworks & Adversarial Portfolios
Filip Stanek
AI4TS
37
0
0
29 Jul 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome
  Prediction
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue
Nan Du
A. Mottram
Martin G. Seneviratne
Andrew M. Dai
AI4TS
38
0
0
28 Jul 2024
Symmetrical Joint Learning Support-query Prototypes for Few-shot
  Segmentation
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
Qun Li
Baoquan Sun
Fu Xiao
Yonggang Qi
B. Bhanu
51
0
0
27 Jul 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo
Dongha Lee
Jinyoung Yeo
CLL
KELM
90
1
0
24 Jul 2024
Domain Adaptation of Visual Policies with a Single Demonstration
Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang
Gregory D. Hager
38
0
0
23 Jul 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
77
3
0
20 Jul 2024
Domain Generalization for 6D Pose Estimation Through NeRF-based Image
  Synthesis
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis
Antoine Legrand
R. Detry
Christophe De Vleeschouwer
40
1
0
15 Jul 2024
Revolutionizing Bridge Operation and maintenance with LLM-based Agents:
  An Overview of Applications and Insights
Revolutionizing Bridge Operation and maintenance with LLM-based Agents: An Overview of Applications and Insights
Xinyu-Chen
Lianzhen-Zhang
LLMAG
AI4CE
45
2
0
14 Jul 2024
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural
  Processes
Robust Meta-Learning of Vehicle Yaw Rate Dynamics via Conditional Neural Processes
Lars Ullrich
Andreas Völz
Knut Graichen
35
1
0
09 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
50
1
0
09 Jul 2024
Magnetic Hysteresis Modeling with Neural Operators
Magnetic Hysteresis Modeling with Neural Operators
Abhishek Chandra
B. Daniels
M. Curti
K. Tiels
E. Lomonova
AI4CE
45
2
0
03 Jul 2024
Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
57
1
0
03 Jul 2024
Meta-Learning Based Optimization for Large Scale Wireless Systems
Meta-Learning Based Optimization for Large Scale Wireless Systems
Rafael Cerna Loli
B. Clerckx
32
4
0
01 Jul 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
39
1
0
27 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta
Jonathan Lorraine
Steve Masson
Ramanathan Arunachalam
Zaid Pervaiz Bhat
James Lucas
Arun George Zachariah
49
4
0
26 Jun 2024
Cross-domain Transfer of Valence Preferences via a Meta-optimization
  Approach
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
Chuang Zhao
Hongke Zhao
Ming He
Xiaomeng Li
Jianping Fan
34
0
0
24 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Constrained Meta Agnostic Reinforcement Learning
Constrained Meta Agnostic Reinforcement Learning
Karam Daaboul
Florian Kuhm
Tim Joseph
J. Marius Zoellner
33
0
0
20 Jun 2024
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
Haochen Liu
Song Wang
Chen Chen
Jundong Li
48
2
0
19 Jun 2024
Recurrent Inference Machine for Medical Image Registration
Recurrent Inference Machine for Medical Image Registration
Yi Zhang
Yidong Zhao
Hui Xue
Peter Kellman
Stefan Klein
Qian Tao
OOD
29
0
0
19 Jun 2024
Communication-Efficient and Privacy-Preserving Decentralized
  Meta-Learning
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
Hansi Yang
James T. Kwok
61
0
0
19 Jun 2024
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain
  Adaptive Few-shot Fake News Detection
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection
Yi Ouyang
Peng Wu
Li Pan
59
0
0
16 Jun 2024
Discovering Preference Optimization Algorithms with and for Large
  Language Models
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Xiaoxuan Lu
Samuel Holt
Claudio Fanconi
Alex J. Chan
Jakob Foerster
M. Schaar
R. T. Lange
OffRL
37
15
0
12 Jun 2024
Meta-Learning Neural Procedural Biases
Meta-Learning Neural Procedural Biases
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhan
46
1
0
12 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A
  Meta-Learning Approach
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
32
3
0
09 Jun 2024
Cooperative Meta-Learning with Gradient Augmentation
Cooperative Meta-Learning with Gradient Augmentation
Jongyun Shin
Seunjin Han
Jangho Kim
VLM
37
0
0
07 Jun 2024
Meta-learning for Positive-unlabeled Classification
Meta-learning for Positive-unlabeled Classification
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
33
1
0
06 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via
  Feature Alignment
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Zhenyu Hou
Haozhan Li
Yukuo Cen
Jie Tang
Yuxiao Dong
31
6
0
05 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
37
1
0
04 Jun 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
Zheng Zhou
Hong Zhao
Guangliang Cheng
Xiangtai Li
Shuchang Lyu
Wenquan Feng
Qi Zhao
DD
47
0
0
03 Jun 2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic
  Meta-Learning
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
Mina Rafiei
Mohammadmahdi Maheri
Hamid R. Rabiee
32
0
0
01 Jun 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking:
  A Survey
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
Thai-Hoc Vu
Senthil Kumar Jagatheesaperumal
Minh-Duong Nguyen
Nguyen Van Huynh
Sunghwan Kim
Viet Quoc Pham
39
8
0
30 May 2024
Does learning the right latent variables necessarily improve in-context
  learning?
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Dhanya Sridhar
Guillaume Lajoie
34
4
0
29 May 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Daniel Bethell
Simos Gerasimou
R. Calinescu
Calum Imrie
OffRL
OnRL
39
0
0
28 May 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar
Yuhao Ding
Bilgehan Sel
Javad Lavaei
Ming Jin
OffRL
32
12
0
26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
73
3
0
24 May 2024
Riemannian Bilevel Optimization
Riemannian Bilevel Optimization
Sanchayan Dutta
Xiang Cheng
S. Sra
44
0
0
22 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
38
2
0
21 May 2024
Transfer Learning for CSI-based Positioning with Multi-environment
  Meta-learning
Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
Anastasios Foliadis
Mario H. Castaneda
R. Stirling-Gallacher
Reiner S. Thomä
30
3
0
20 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
2
0
18 May 2024
CarDreamer: Open-Source Learning Platform for World Model based
  Autonomous Driving
CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving
Dechen Gao
Shuangyu Cai
Hanchu Zhou
Hang Wang
Iman Soltani
Junshan Zhang
31
2
0
15 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
34
2
0
11 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
39
7
0
05 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
Chris Junchi Li
56
0
0
01 May 2024
MetaRM: Shifted Distributions Alignment via Meta-Learning
MetaRM: Shifted Distributions Alignment via Meta-Learning
Shihan Dou
Yan Liu
Enyu Zhou
Tianlong Li
Haoxiang Jia
...
Junjie Ye
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
OOD
57
2
0
01 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELM
CLL
KELM
37
5
0
28 Apr 2024
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