The study explores invariance in neural networks, a feature necessary for many tasks. The authors propose measures to quantify the invariance of neural networks in terms of their internal representation….
Continue readingThe paper addresses the challenge of achieving robustness to spatial transformations in computer vision. Traditional methods involve data augmentation or hard-coding invariances, but these can have limitations. The authors propose…
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