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As researchers and practitioners of applied machine learning, we are given a set of requirements on the problem to be solved, the plausibly obtainable data, and the computational resources available.
Replicability is not Reproducibility: Nor is it Good Science
Chris Drummond · 2009
Earlier work this paper cites.
Antonio Torralba and Alexei A Efros · 2011
Earlier work this paper cites.
Open Scholarship and Peer Review : a Time for Experimentation
David Soergel, Adam Saunders, and Andrew Mccallum · 2013
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Olfactory exposure to males, including men, causes stress and related analgesia in rodents
Robert E Sorge, Loren J Martin, Kelsey A Isbester, Susana G Sotocinal, Sarah Rosen, Alexander H Tuttle, Jeffrey S Wieskopf, Erinn L Acland, Anastassia Dokova, Basil Kadoura, Philip Leger, Josiane C S Mapplebeck, Martina McPhail, Ada Delaney, Gustaf Wigerblad, Alan P Schumann, Tammie Quinn, Johannes Frasnelli, Camilla I Svensson, Wendy F Sternberg, and Jeffrey S Mogil · 2014
Earlier work this paper cites.
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen, Jason Bolton, and Christopher D Manning · 2016
Earlier work this paper cites.
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, and David Meger · 2017
Cited alongside, same era.
Reproducibility vs. Replicability: A Brief History of a Confused Terminology
Hans E. Plesser · 2017
Cited alongside, same era.
An Addendum to Alchemy, 2017
Ali Rahimi and Ben Recht · 2017
Cited alongside, same era.
Some Papers Don’t Reproduce. Should We Care?
Alex Irpan · 2018
Cited alongside, same era.
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik and Zachary C. Lipton · 2018
Cited alongside, same era.
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Katherine Lee · 2018
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Troubling Trends in Machine Learning Scholarship
Zachary C Lipton and Jacob Steinhardt · 2018
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On the state of the art of evaluation in neural language models
Gabor Melis, Chris Dyer, and Phil Blunsom · 2018
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Winner’s Curse? On Pace, Progress, and Empirical Rigor
D Sculley, Jasper Snoek, Ali Rahimi, and Alex Wiltschko · 2018
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A Practical Taxonomy of Reproducibility for Machine Learning Research
Rachael Tatman, Jake Vanderplas, and Sohier Dane · 2018
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