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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Bayesian Federated Learning: A Survey IJCAI 2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning INTERSPEECH 2023
Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition INTERSPEECH 2023
Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions INTERSPEECH 2023
Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization INTERSPEECH 2023
Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition INTERSPEECH 2023
Curriculum Learning for Self-supervised Speaker Verification INTERSPEECH 2023
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages INTERSPEECH 2023
Federated Learning Toolkit with Voice-based User Verification Demo INTERSPEECH 2023
FedLab: A Flexible Federated Learning Framework JMLR 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
On Biased Compression for Distributed Learning JMLR 2023
Federated Cross Learning for Medical Image Segmentation MIDL 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023
Federated Learning for Commercial Image Sources WACV 2023
Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation WACV 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning WACV 2023
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification WACV 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023