arXiv:2104.03886

Classification, Slippage, Failure and Discovery

Marc Böhlen

제출 2021-04-08

원문 초록

This text argues for the potential of machine learning infused classification systems as vectors for a technically-engaged and constructive technology critique. The text describes this potential with several experiments in image data creation and neural network based classification. The text considers varying aspects of slippage in classification and considers the potential for discovery - as opposed to disaster - stemming from machine learning systems when they fail to perform as anticipated.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

논문 ID: publication/3527808공통 태그 BIG-bench Machine Learning, Classification

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