Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space

Subjects: “…Artificial Intelligence & Machine Learning…”
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The “TMUBIS” Method in the Process of Learning Turkish Music Usul by Visually Impaired Individuals

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Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

Subjects: “…Artificial Intelligence & Machine Learning…”
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PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Subjects: “…Artificial Intelligence & Machine Learning…”
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Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

Subjects: “…Artificial Intelligence & Machine Learning…”
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depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

Subjects: “…Artificial Intelligence & Machine Learning…”
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A DEEP LEARNING DRIVEN TEXT CLASSIFICATION APPROACH WITH NAMED ENTITY RECOGNITION

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Stable learning using spiking neural networks equipped with affine encoders and decoders

Subjects: “…Artificial Intelligence & Machine Learning…”
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Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation

Subjects: “…Artificial Intelligence & Machine Learning…”
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Machine Learning Analysis of Coastal Water Pollution in China: Drivers and Complex Relationships

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Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods

Subjects: “…Artificial Intelligence & Machine Learning…”
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Machine-Learning Variation-Aware Co-Design for Analog Linearization of VCO-ADCs

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Vegetation Health Prediction Using RGB Images From UAV With Deep Learning

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Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space

Subjects: “…Artificial Intelligence & Machine Learning…”
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Inference of germinal center evolutionary dynamics via simulation-based deep learning

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Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects

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Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

Subjects: “…Artificial Intelligence & Machine Learning…”
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PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Subjects: “…Artificial Intelligence & Machine Learning…”
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