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Who should do what?
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Troubling Trends in ML Scholarship - Zachary Lipton
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- 1 Intro
- 2 Alchemy or Science?
- 3 Pre-paradigmatic Science
- 4 Normal Science
- 5 Paradigm Shift
- 6 Aligning competing theories
- 7 Machine Learning Theory
- 8 Machine Learning Practice
- 9 What's so bad about the alchemists?
- 10 What did the alchemists get wrong?
- 11 Journalism pre-1990
- 12 (too much) journalism today
- 13 Closer to home
- 14 How to fix it? Who to fix it?
- 15 Artificial intelligence today
- 16 The good & the bad
- 17 Explanation vs Speculation
- 18 Un-scientific experiments
- 19 Recent comeuppances in bad empirical ML
- 20 How much reading does reading comprehension require?
- 21 Results on CBT
- 22 Mathiness
- 23 Deep Domain Adaptation
- 24 Abuse of language
- 25 Who should do what?
- 26 We want it all!
- 27 What we can do