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RSchaeffer

164 karma · joined December 6, 2016

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Turning Down the Heat: A Critical Analysis of Min-P Sampling in Language Models

twitter.com·1 pts·RSchaeffer·
1

How Do Large Language Monkeys Get Their Power (Laws)?

arxiv.org·2 pts·RSchaeffer·
1

No Free Lunch from Deep Learning in Neuroscience

twitter.com·1 pts·RSchaeffer·
0

No Free Lunch from Deep Learning in Neuroscience

twitter.com·1 pts·RSchaeffer·
0

Ask HN: How to develop React+Flask locally in a way that can easily be deployed?

9 pts·RSchaeffer·
9

Experience replay in machines and mammals

rylanschaeffer.github.io·14 pts·RSchaeffer·
1

Bay Area housing is fucked in more ways than you might think

rylanschaeffer.github.io·34 pts·RSchaeffer·
1

Harvard Applied Math 226 Neural Computation

github.com·2 pts·RSchaeffer·
1

Fundamental bounds on learning performance in neural circuits [pdf]

rylanschaeffer.github.io·1 pts·RSchaeffer·
0

Cryptographic preregistration: from Newton to fMRI

medium.com·2 pts·RSchaeffer·
0

Explanation of DeepMind's Early Visual Concept Learning with Unsupervised DL

rylanschaeffer.github.io·3 pts·RSchaeffer·
0

Explanation of DeepMind's One-Shot Learning with MANNs

rylanschaeffer.github.io·2 pts·RSchaeffer·
0

Explanation of DeepMind's Neural Turing Machine

rylanschaeffer.github.io·6 pts·RSchaeffer·
0

Neural Episodic Control

rylanschaeffer.github.io·65 pts·RSchaeffer·
3

Overcoming Catastrophic Forgetting in Neural Networks

rylanschaeffer.github.io·123 pts·RSchaeffer·
11