Working with Cross-entropy loss part4(Machine Learning)
1. Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries(arXiv) Author : Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal Abstract : Understanding the fundamental limits of robust supervised learning has emerged as a problem of immense interest, from both practical and theoretical standpoints. In particular, it…
Working with Cross-entropy loss part4(Machine Learning) 1. Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries(arXiv) Author : Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal Abstract : Understanding the fundamental limits of robust supervised learning has emerged as a problem of immense interest, from both practical and theoretical standpoints. In particular, it… deep-learning
Working Crossentropy loss part4Machine Learning 1 Lower Bounds CrossEntropy Loss Presence Testtime AdversariesarXiv Author Arjun Nitin Bhagoji Daniel Cullina Vikash Sehwag Prateek Mittal Abstract Understanding fundamental limit robust supervised learning emerged problem immense interest practical theoretical standpoint particular it… deeplearning