In the fourth part of the AI reading list series, we continue with the next 5 items that Ilya Sutskever, former OpenAI chief scientist, gave to John Carmack. Ilya followed by saying that "If you really learn all of these, you’ll know 90% of what matters today".
References
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AI Reading List - Part 1: • AI Reading List (by Ilya Sutskever) -...
AI Reading List - Part 2: • AI Reading List (by Ilya Sutskever) -...
AI Reading List - Part 3: • AI Reading List (by Ilya Sutskever) -...
VAE Explained: • Variational Autoencoders
Reading List
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A Simple Neural Network Module for Relational Reasoning: https://arxiv.org/pdf/1706.01427
Variational Lossy Autoencoder: https://arxiv.org/pdf/1611.02731
Relational Recurrent Neural Networks: https://arxiv.org/pdf/1806.01822
Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton: https://arxiv.org/pdf/1405.6903
Neural Turing Machines: https://arxiv.org/pdf/1410.5401
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Contents
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00:00 - Intro
00:20 - Item 1: NN Module for Relational Reasoning
01:25 - Item 2: Variational Lossy Autoencoder
02:06 - Item 3: Relational RNNs
02:48 - Item 4: The Coffee Automaton
03:21 - Item 5: Neural Turing Machines
04:07 - Outro
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