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← Learning Paradigms
Machine Learning
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Learning Paradigms
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Meta-Learning
722 directly classified papers
Papers per year
2008: 1
2009: 1
2010: 4
2011: 1
2012: 2
2013: 1
2014: 2
2015: 1
2016: 1
2017: 8
2018: 25
2019: 52
2020: 95
2021: 117
2022: 135
2023: 104
2024: 97
2025: 70
2026: 5
Papers
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts
EMNLP 2023
Compound Domain Generalization via Meta-Knowledge Encoding
CVPR 2022
LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification
NAACL 2022
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training
IJCAI 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-Learning
CVPR 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
COLING 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
NAACL 2022
A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting
CVPR 2022
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract)
AAAI 2022
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification
COLING 2022
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?
COLING 2022
Dynamic Domain Generalization
IJCAI 2022
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
COLING 2022
Learning to Evolve on Dynamic Graphs (Student Abstract)
AAAI 2022
Learngene: From Open-World to Your Learning Task
AAAI 2022
What Matters for Meta-Learning Vision Regression Tasks?
CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning
COLING 2022
Meta Distribution Alignment for Generalizable Person Re-Identification
CVPR 2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights
CVPR 2022
Contextual Gradient Scaling for Few-Shot Learning
WACV 2022
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation
WACV 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition
CVPR 2022
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
WACV 2022
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection Using Meta-Learning
WACV 2022
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