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Orion Reblitz-Richardson

2 accepted papers

2023

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size

ICLR 2023poster

We demonstrate how convolutional neural networks can overfit the input size: The accuracy drops significantly when using certain sizes, compared with favorable ones. This issue is inherent to pooling arithmetic, with standard downsampling layers playing a major role in favoring certain input sizes a…

Cited by 4SourcePDFScholar
2021

Mind the Pad -- CNNs Can Develop Blind Spots

ICLR 2021spotlight

We show how feature maps in convolutional networks are susceptible to spatial bias. Due to a combination of architectural choices, the activation at certain locations is systematically elevated or weakened. The major source of this bias is the padding mechanism. Depending on several aspects of convo…

Cited by 107SourcePDFScholar