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06/06/2023
Continual Learning in Linear Classification on Separable Data
We analyze continual learning on a sequence of separable linear classifi...
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02/10/2023
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study
Error-correcting codes (ECC) are used to reduce multiclass classificatio...
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05/19/2022
How catastrophic can catastrophic forgetting be in linear regression?
To better understand catastrophic forgetting, we study fitting an overpa...
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04/22/2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Recently, deep learning has become a de facto standard in machine learni...
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02/13/2019
How do infinite width bounded norm networks look in function space?
We consider the question of what functions can be captured by ReLU netwo...
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03/08/2018