Human vs Machine
Nicholas discusses the disparity in human and machine generalization abilities, highlighting how machines outperform humans in distinguishing complex objects like dog breeds but struggle with seemingly simple tasks. The conversation delves into the challenge of predicting machine learning errors and draws parallels with human error recognition in scenarios like identifying mushroom types.In this clip
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Machine Learning Street Talk (MLST)
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
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