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Listen "#64 Prof. Gary Marcus 3.0"
Episode Synopsis
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
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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