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10/31/2022
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs
Modern machine learning systems are increasingly trained on large amount...
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09/18/2022
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Self-supervised learning (SSL) has emerged as a desirable paradigm in co...
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10/18/2021
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs
Feature spaces in the deep layers of convolutional neural networks (CNNs...
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10/15/2021
NNK-Means: Dictionary Learning using Non-Negative Kernel regression
An increasing number of systems are being designed by first gathering si...
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07/27/2021
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
State-of-the-art neural network architectures continue to scale in size ...
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07/20/2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation
Modern machine learning systems based on neural networks have shown grea...
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10/21/2019