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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
Improved Relation Networks for End-to-End Speaker Verification and Identification
INTERSPEECH 2022
Meta Learning for Natural Language Processing: A Survey
NAACL 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
NAACL 2022
Low Resource Style Transfer via Domain Adaptive Meta Learning
NAACL 2022
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
NAACL 2022
Efficient Riemannian Meta-Optimization by Implicit Differentiation
AAAI 2022
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
AAAI 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
AAAI 2022
BM-NAS: Bilevel Multimodal Neural Architecture Search
AAAI 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
AAAI 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
EMNLP 2022
Learning to Adapt to Low-Resource Paraphrase Generation
EMNLP 2022
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations
EMNLP 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
EMNLP 2022
On Utilizing Constituent Language Resources to Improve Downstream Tasks in Hinglish
EMNLP 2022
m4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
EMNLP 2022
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
EMNLP 2022
Learning to Detect Noisy Labels Using Model-Based Features
EMNLP 2022
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning
EMNLP 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
CVPR 2022
Meta Convolutional Neural Networks for Single Domain Generalization
CVPR 2022
Learning To Learn Across Diverse Data Biases in Deep Face Recognition
CVPR 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
CVPR 2022
Learning To Collaborate in Decentralized Learning of Personalized Models
CVPR 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
CVPR 2022
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