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ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

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Challenging the Notion of Zero Probability in Training Distributions

This chapter explores the intricacies of training distributions in machine learning, particularly the challenges posed by zero probability scenarios. It contrasts human adaptability during distribution shifts with the rigid nature of current algorithms, shedding light on the need for more realistic training approaches.

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