A Concise Review of Recent Few-shot Meta-learning Methods
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Abstract (arXiv)
Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in few-shot meta-learning, which are categorized into four branches according to their technical characteristics. We conclude this review with some vital current challenges and future prospects in few-shot meta-learning.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 May 2020.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 4; 2024: 1; 2025: 1; 2026: 1.
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- 2023Meta-learning approaches for few-shot learning: A survey of recent advancescited by 25
- 2021Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developmentscited by 23
- 2022Generalization in Neural Networks: A Broad Surveycited by 11
- 2021A Comparative Review of Recent Few-Shot Object Detection Algorithmscited by 10
- 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparisoncited by 8
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Reviewcited by 8
- 2023Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classificationcited by 6
- 2021One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Predictioncited by 3
- 2023Language-guided Few-shot Semantic Segmentationcited by 2
- 2025Few-Shot Learning in Video and 3D Object Detection: A Surveycited by 2
- 2022Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classificationcited by 1
- 2023Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosiscited by 0
- 2026Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent23 Feb 2026
- 2025Few-Shot Learning in Video and 3D Object Detection: A Survey22 Jul 2025
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Review27 Aug 2024
- 2023Language-guided Few-shot Semantic Segmentation23 Nov 2023
- 2023Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis4 Nov 2023
- 2023Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification16 Oct 2023
- 2023Meta-learning approaches for few-shot learning: A survey of recent advances13 Mar 2023
- 2022Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification13 Sep 2022
- 2022Generalization in Neural Networks: A Broad Survey4 Sep 2022
- 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison27 Mar 2022
- 2021A Comparative Review of Recent Few-Shot Object Detection Algorithms30 Oct 2021
- 2021One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction6 Oct 2021
- 2023Meta-learning approaches for few-shot learning: A survey of recent advancescited by 25
- 2021Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developmentscited by 23
- 2022Generalization in Neural Networks: A Broad Surveycited by 11
- 2021A Comparative Review of Recent Few-Shot Object Detection Algorithmscited by 10
- 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparisoncited by 8
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Reviewcited by 8
- 2023Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classificationcited by 6
- 2021One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Predictioncited by 3
- 2023Language-guided Few-shot Semantic Segmentationcited by 2
- 2025Few-Shot Learning in Video and 3D Object Detection: A Surveycited by 2
- 2022Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classificationcited by 1
- 2023Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosiscited by 0
12 most cited of 13 All 13 (JSON)
- 2026Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent23 Feb 2026
- 2025Few-Shot Learning in Video and 3D Object Detection: A Survey22 Jul 2025
- 2024Brain-inspired Artificial Intelligence: A Comprehensive Review27 Aug 2024
- 2023Language-guided Few-shot Semantic Segmentation23 Nov 2023
- 2023Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis4 Nov 2023
- 2023Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification16 Oct 2023
- 2023Meta-learning approaches for few-shot learning: A survey of recent advances13 Mar 2023
- 2022Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification13 Sep 2022
- 2022Generalization in Neural Networks: A Broad Survey4 Sep 2022
- 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison27 Mar 2022
- 2021A Comparative Review of Recent Few-Shot Object Detection Algorithms30 Oct 2021
- 2021One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction6 Oct 2021
12 newest of 13 All 13 (JSON)