Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning

Christopher J. Holder, Majid Khonji, Jorge Dias +1

A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data. Training is often…