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A Venue for Self-Reflection in ML Research
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ML Retrospectives ML Retrospectives How it works Published Retrospectives ICML 2020 NeurIPS 2019 NeurIPS 2020 Code of Conduct FAQ ML Retrospectives Real talk for your past papers. Submit to our NeurIPS 2020 Workshop !! News : We have published the report of NeurIPS 2019 Retrospectives workshop ! Talk about flaws in your paper's methodology "We didn't actually optimize the performance of the baseline very much. We thought using the default parameters from previous work would be fine, but on our dataset it leads to instability." Reveal limitations of your approach "We also tested our model on CIFAR-100, but it didn't work that well, so we didn't include it in the paper." Discuss new perspectives on your work "When we wrote the paper, we thought our method would be most applicable to hierarchical RL. But now I think it'd work really well in multi-agent RL, with centralized learning and decentralized execution." Start writing your retrospecti...
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