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Found 3 papers, 2 papers with code
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
In this paper, we propose a technique that leverages inexpensive Hadamard transforms to enable low-precision training with only integer matrix multiplications.
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
This paper aims to assess to what extent such continual learning techniques can be applied to the HAR domain.
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Given the growing trend of continual learning techniques for deep neural networks focusing on the domain of computer vision, there is a need to identify which of these generalizes well to other tasks such as human activity recognition (HAR).
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