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10.1016/j.jksuci.2021.06.012

Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning


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10.1109/IGARSS47720.2021.9553981

Meta Transfer Learning for Few-Shot Hyperspectral Image Classification



Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads



Meta-Learning to Improve Unsupervised Intrusion Detection in Cyber-Physical Systems


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10.18653/V1/2021.NAACL-MAIN.283

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering



Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning.


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10.1109/ACCESS.2021.3090936

Novel Meta-Features for Automated Machine Learning Model Selection in Anomaly Detection


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10.1109/ICPR48806.2021.9412416

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach


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10.1109/IJCNN52387.2021.9533842

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams



Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding


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10.1016/J.PATCOG.2021.107951

Unsupervised meta-learning for few-shot learning



SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps


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10.1016/J.NEUCOM.2021.02.024

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout



Cross-Market Product Recommendation


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10.4018/978-1-7998-5101-1.ch003

Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models for Cyber-Physical Systems


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10.18653/V1/2021.MAIWORKSHOP-1.7

Modality-specific Distillation


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10.1109/ICASSP39728.2021.9414373

Meta-Learning for Low-Resource Speech Emotion Recognition


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10.18653/v1/2021.acl-tutorials.3

Meta Learning and Its Applications to Natural Language Processing



Handwritten Marathi numeral recognition using stacked ensemble neural network



Preference-Adaptive Meta-Learning for Cold-Start Recommendation


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10.1016/j.knosys.2020.106609

Prior-knowledge and attention based meta-learning for few-shot learning



MetaPhys: few-shot adaptation for non-contact physiological measurement


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10.18653/v1/2021.eacl-main.168

Multilingual and cross-lingual document classification: A meta-learning approach


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10.1109/ICAIIC51459.2021.9415205

Exploring Meta Learning: Parameterizing the Learning-to-learn Process for Image Classification


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10.1093/bioinformatics/btaa535

Predictive and interpretable models via the stacked elastic net



Learning A Linear Classifier by Transforming Feature Vectors for Few-shot Image Classification


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10.1109/IJCNN52387.2021.9534152

SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification


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10.1109/ICPR48806.2021.9412047

Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?



Transfer Learning Compensates Limited Data, Batch-Effects, And Technical Heterogeneity In Single-Cell Sequencing


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10.18653/v1/2021.eacl-main.314

Meta-Learning for Effective Multi-task and Multilingual Modelling


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10.1109/ICASSP39728.2021.9414546

Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification



Processing and Representation of Multispectral Images Using Deep Learning Techniques



Automatic selection of clustering algorithms using supervised graph embedding


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10.1109/ICDE51399.2021.00233

An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting*



Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified



Fast Adaptive Meta-Learning for Few-shot Image Generation


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10.18653/v1/2021.repl4nlp-1.23

Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation


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10.18653/v1/2021.metanlp-1.9

Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories


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10.18653/v1/2021.metanlp-1.8

Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification


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10.1007/978-3-030-87196-3_29

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation


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10.21437/interspeech.2019-1383

Meta Learning for Hyperparameter Optimization in Dialogue System



MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning


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10.1007/978-981-13-2414-7_2

Real-Time Meta Learning Approach for Mobile Healthcare


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