ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.04722
  4. Cited By
Advances and Challenges in Meta-Learning: A Technical Review

Advances and Challenges in Meta-Learning: A Technical Review

10 July 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
    OffRL
ArXivPDFHTML

Papers citing "Advances and Challenges in Meta-Learning: A Technical Review"

39 / 39 papers shown
Title
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
Hang Yu
Jiahao Wen
Zhedong Zheng
48
0
0
26 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Yuan Zhou
Xinli Shi
Xuelong Li
Jiachen Zhong
G. Wen
Jinde Cao
FedML
41
0
0
17 Apr 2025
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli
Pengyu Liu
Guohua Dong
D. Guo
Kun Li
Fengling Li
Xun Yang
Meng Wang
Xiaomin Ying
AI4CE
41
0
0
20 Mar 2025
Riemannian Geometric-based Meta Learning
JuneYoung Park
YuMi Lee
Tae Joon Kim
Jang-Hwan Choi
55
0
0
14 Mar 2025
Online Meta-learning for AutoML in Real-time (OnMAR)
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
OffRL
38
0
0
27 Feb 2025
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks
Michael Schwingshackl
Fabio Francisco Oberweger
Markus Murschitz
48
1
0
20 Jan 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
28
0
0
03 Jan 2025
Multi-modal Speech Emotion Recognition via Feature Distribution
  Adaptation Network
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network
Shaokai Li
Yixuan Ji
Peng Song
Haoqin Sun
Wenming Zheng
21
0
0
29 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
54
2
0
18 Oct 2024
Meta-Learning from Learning Curves for Budget-Limited Algorithm
  Selection
Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection
Manh Hung Nguyen
Lisheng Sun-Hosoya
Isabelle M Guyon
32
1
0
10 Oct 2024
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
Suayb S. Arslan
23
2
0
24 Sep 2024
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO
  Resource Allocation and Adaptive Scaling for Microservices
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices
Kan Hu
Linfeng Wen
Minxian Xu
Kejiang Ye
23
0
0
23 Sep 2024
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection
Tongtong Feng
Qi Qi
Lingqi Guo
Jingyu Wang
28
0
0
30 Aug 2024
Learning to Learn without Forgetting using Attention
Learning to Learn without Forgetting using Attention
Anna Vettoruzzo
Joaquin Vanschoren
Mohamed-Rafik Bouguelia
Thorsteinn Rögnvaldsson
CLL
41
2
0
06 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization,
  Robustness, and Fairness
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
44
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
74
3
0
20 Jul 2024
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in
  Sustainable Home Environments
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Junlin Lu
Patrick Mannion
Karl Mason
36
0
0
16 Jul 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
59
0
0
25 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
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition
Xiao-Yin Liu
Guo-Tao Li
Xiao-Hu Zhou
Xu Liang
Zeng-Guang Hou
67
0
0
19 Apr 2024
Domain Generalization through Meta-Learning: A Survey
Domain Generalization through Meta-Learning: A Survey
Arsham Gholamzadeh Khoee
Yinan Yu
R. Feldt
AI4CE
OOD
40
15
0
03 Apr 2024
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a
  Single High-Resolution Image
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image
H. A. Amirkolaee
Miaojing Shi
Lianghua He
Mark Mulligan
18
1
0
05 Feb 2024
Personalized Federated Learning with Contextual Modulation and
  Meta-Learning
Personalized Federated Learning with Contextual Modulation and Meta-Learning
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Thorsteinn Rögnvaldsson
FedML
17
1
0
23 Dec 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OOD
CLL
32
10
0
09 Nov 2023
A Deep Learning Based Resource Allocator for Communication Systems with
  Dynamic User Utility Demands
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
Pourya Behmandpoor
Panagiotis Patrinos
Marc Moonen
14
1
0
08 Nov 2023
Intell-dragonfly: A Cybersecurity Attack Surface Generation Engine Based
  On Artificial Intelligence-generated Content Technology
Intell-dragonfly: A Cybersecurity Attack Surface Generation Engine Based On Artificial Intelligence-generated Content Technology
Xingchen Wu
Qin Qiu
Jiaqi Li
Yang Zhao
22
3
0
01 Nov 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLM
SSL
34
16
0
02 Mar 2023
Few-Shot Classification with Contrastive Learning
Few-Shot Classification with Contrastive Learning
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODD
MQ
42
55
0
17 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
85
0
0
09 Sep 2022
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
206
238
1
10 Sep 2021
AutoML to Date and Beyond: Challenges and Opportunities
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra (Santu) Karmaker
Md. Mahadi Hassan
Micah J. Smith
Lei Xu
Chengxiang Zhai
K. Veeramachaneni
73
225
0
21 Oct 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and
  Fine-Tuning
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
34
39
0
25 Aug 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
175
340
0
09 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
28
114
0
14 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
716
0
13 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 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
329
11,684
0
09 Mar 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
1