Hi all,I sincerely hope that this year was an extreme outlier and that 2021 will be again more in-distribution. I hope you have time to relax and spend time with your loved ones. On a personal note, growing up I never understood why May you live in interesting times (Interesting Times is the title of a book by a favourite author of mine) may be considered a curse. I think I have a better sense of it now.While personal interactions have been limited mostly to the online setting this year, I am grateful for everyone I've had the chance to interact with or meet this year. Thank you for brightening my 2020. I hope I get to meet some of you in person again next year.This newsletter includes a (very) brief recap of my EMNLP 2020 and a discussion of datasets that are minimally viable to evaluate the capabilities of a model. I highlight some interesting research areas related to efficiency and—on a more fun note—recent research in reinforcement learning that leverages roguelikes and procedural generation. I also cover miscellaneous blog posts and articles, among them a 385-page (!) ML compendium.I really appreciate your feedback, so let me know what you love ❤️ and hate 💔 about this edition. Simply hit reply on the issue.If you were referred by a friend, click here to subscribe. If you enjoyed this issue, give it a tweet 🐦.
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EMNLP 2020 recap, Minimum viable datasets…
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Hi all,I sincerely hope that this year was an extreme outlier and that 2021 will be again more in-distribution. I hope you have time to relax and spend time with your loved ones. On a personal note, growing up I never understood why May you live in interesting times (Interesting Times is the title of a book by a favourite author of mine) may be considered a curse. I think I have a better sense of it now.While personal interactions have been limited mostly to the online setting this year, I am grateful for everyone I've had the chance to interact with or meet this year. Thank you for brightening my 2020. I hope I get to meet some of you in person again next year.This newsletter includes a (very) brief recap of my EMNLP 2020 and a discussion of datasets that are minimally viable to evaluate the capabilities of a model. I highlight some interesting research areas related to efficiency and—on a more fun note—recent research in reinforcement learning that leverages roguelikes and procedural generation. I also cover miscellaneous blog posts and articles, among them a 385-page (!) ML compendium.I really appreciate your feedback, so let me know what you love ❤️ and hate 💔 about this edition. Simply hit reply on the issue.If you were referred by a friend, click here to subscribe. If you enjoyed this issue, give it a tweet 🐦.