EPISODE · Feb 24, 2022 · 51 MIN

#64 Prof. Gary Marcus 3.0

from Machine Learning Street Talk (MLST)

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud YT: https://www.youtube.com/watch?v=ZDY2nhkPZxw We have a chat with Prof. Gary Marcus about everything which is currently top of mind for him, consciousness  [00:00:00] Gary intro [00:01:25] Slightly conscious [00:24:59] Abstract, compositional models [00:32:46] Spline theory of NNs [00:36:17] Self driving cars / algebraic reasoning  [00:39:43] Extrapolation [00:44:15] Scaling laws [00:49:50] Maximum likelihood estimation References: Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets https://arxiv.org/abs/2201.02177 DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT https://arxiv.org/pdf/1912.02292.pdf Bayesian Deep Learning and a Probabilistic Perspective of Generalization https://arxiv.org/pdf/2002.08791.pdf

What this episode covers

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/HNnAwSduud YT: https://www.youtube.com/watch?v=ZDY2nhkPZxw We have a chat with Prof. Gary Marcus about everything which is currently top of mind for him, consciousness [00:00:00] Gary intro [00:01:25] Slightly conscious [00:24:59] Abstract, compositional models [00:32:46] Spline theory of NNs [00:36:17] Self driving cars / algebraic reasoning [00:39:43] Extrapolation [00:44:15] Scaling laws [00:49:50] Maximum likelihood estimation References: Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets https://arxiv.org/abs/2201.02177 DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT https://arxiv.org/pdf/1912.02292.pdf Bayesian Deep Learning and a Probabilistic Perspective of Generalization https://arxiv.org/pdf/2002.08791.pdf

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#64 Prof. Gary Marcus 3.0

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