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. 2004.05439
  4. Cited By
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 / 127 papers shown
Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
38
0
0
07 May 2025
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
Xin Wang
Ling Feng
Huijun Zhang
Lei Cao
Kaisheng Zeng
Qi Li
Yang Ding
Yi Dai
David A. Clifton
32
0
0
03 May 2025
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han
Hui Chen
Soujanya Poria
24
0
0
02 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
W. Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
78
0
0
27 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
Zimo Yan
Jie Zhang
Zheng Xie
Chang-rui Liu
Y. Liu
Yiping Song
32
0
0
22 Apr 2025
A Survey of Reinforcement Learning for Optimization in Automation
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq
Kamran Iqbal
OffRL
79
1
0
13 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning
Model Diffusion for Certifiable Few-shot Transfer Learning
Fady Rezk
Royson Lee
H. Gouk
Timothy M. Hospedales
Minyoung Kim
45
0
0
10 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Tongkun Liu
Bing Li
Xiao Jin
Yupeng Shi
Qiuying Li
Xiang Wei
52
0
0
03 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
40
0
0
31 Jan 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun-Jie Luo
74
1
0
28 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
37
0
0
20 Jan 2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
62
0
0
17 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
85
7
0
17 Jan 2025
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
54
0
0
31 Dec 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
100
0
0
26 Nov 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Adel Javanmard
Jingwei Ji
Renyuan Xu
31
1
0
18 Oct 2024
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
Renpu Liu
Ruida Zhou
Cong Shen
Jing Yang
23
0
0
17 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck
Shikha Surana
Manus McAuliffe
Oliver Bent
Thomas D. Barrett
Juan Jose Garau Luis
Paul Duckworth
AI4CE
28
0
0
10 Oct 2024
Enhanced Transformer architecture for in-context learning of dynamical
  systems
Enhanced Transformer architecture for in-context learning of dynamical systems
Matteo Rufolo
Dario Piga
Gabriele Maroni
Marco Forgione
11
0
0
04 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
18
3
0
26 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
50
2
0
18 Sep 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Jingyao Wang
Wenwen Qiang
Chuxiong Sun
Lingyu Si
Jiangmeng Li
31
1
0
13 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
48
1
0
06 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image
  Indoor Depth by Meta-Initialization
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu
Yiqi Zhong
Junying Wang
Ulrich Neumann
MDE
39
0
0
04 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
31
5
0
26 Aug 2024
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Jiancheng Pan
Yanxing Liu
Yuqian Fu
Muyuan Ma
Jiaohao Li
D. Paudel
Luc Van Gool
Xiaomeng Huang
ObjD
51
7
0
17 Aug 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
45
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
16
0
0
28 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
53
1
0
24 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
49
3
0
20 Jul 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
22
1
0
24 Jun 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
29
0
0
28 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
59
2
0
24 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
22
2
0
21 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
22
2
0
18 May 2024
Advancing Extrapolative Predictions of Material Properties through
  Learning to Learn
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda
Araki Wakiuchi
Yoshihiro Hayashi
Ryo Yoshida
AI4CE
29
0
0
25 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
34
0
0
18 Mar 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
33
43
0
23 Feb 2024
Accelerating Convergence of Stein Variational Gradient Descent via Deep
  Unfolding
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding
Yuya Kawamura
Satoshi Takabe
BDL
16
0
0
23 Feb 2024
The Physics of Learning: From Autoencoders to Truly Autonomous Learning
  Machines
The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines
Alex Ushveridze
SSL
AI4CE
19
0
0
12 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Gresa Shala
André Biedenkapp
Josif Grabocka
OffRL
14
4
0
09 Feb 2024
Learning Universal Predictors
Learning Universal Predictors
Jordi Grau-Moya
Tim Genewein
Marcus Hutter
Laurent Orseau
Grégoire Delétang
...
Anian Ruoss
Wenliang Kevin Li
Christopher Mattern
Matthew Aitchison
J. Veness
19
11
0
26 Jan 2024
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
MADA: Meta-Adaptive Optimizers through hyper-gradient Descent
Kaan Ozkara
Can Karakus
Parameswaran Raman
Mingyi Hong
Shoham Sabach
B. Kveton
V. Cevher
6
2
0
17 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
22
5
0
09 Jan 2024
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
33
2
0
05 Dec 2023
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke
Marc Lelarge
AI4CE
12
4
0
01 Dec 2023
A knowledge-driven AutoML architecture
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
11
0
0
28 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
13
3
0
19 Oct 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation
  and Generalization
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Bodhisattwa Prasad Majumder
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Niket Tandon
Li Zhang
Chris Callison-Burch
Peter Clark
LRM
LLMAG
CLL
6
37
0
16 Oct 2023
Farzi Data: Autoregressive Data Distillation
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva
Zexue He
Wang-Cheng Kang
Jianmo Ni
D. Cheng
Julian McAuley
DD
12
3
0
15 Oct 2023
123
Next