Benign interpolation of noise in deep learning
The understanding of generalisation in machine learning is in a state of flux, in part due to the ability of deep learning models to interpolate noisy training data and still perform appropriately on out-of-sample data, thereby contradicting long-held intuitions about the bias-variance tradeoff in l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
South African Institute of Computer Scientists and Information Technologists
2020-12-01
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| Series: | South African Computer Journal |
| Online Access: | https://sacj.cs.uct.ac.za/index.php/sacj/article/view/833 |