Can anyone independently confirm this? Report is that Microsoft Research laid off the entire Israel lab. If true, reminiscent of when MSR Silicon Valley closed down overnight in 2014. Seems unbelievable this would happen again (if true).
@thegautamkamath
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ACM Honors Leading Computer Science Researchers as Fellows
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ACM names the latest class of Fellows: congrats to a whole bunch of great theorists, including @boazbaraktcs
, Sandy Irani, Rafael Pass, Samir Khuller, David Mount and especially my advisor @KonstDaskalakis
!! Also: my awesome colleague @lintool
! -
Conference Identity: NeurIPS EMNLP attendees lingering online
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I see people with NeurIPS and EMLNP still in their Twitter name, even a month+ after the conferences. Are you still there? Do you need help? Blink twice if yes.
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TMLR Launches Expert Certification and Conference Partnerships for 2023
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For 2023:
– TMLR's Expert Certification reviewers will be selected
– An Outstanding Certification will be made
– Partnerships to present TMLR papers at specific conferences (AutoML, CoLLAs, and maybe even ICLR)
– Going beyond PDFs for papers! 7/7 -
OpenReview engineers advance community research infrastructure platform
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There's been some awesome work by @openreviewnet engineers, particularly @melisabok and Celeste Martinez Gomez, for adding some crucial functionality to OpenReview. So glad we have them and this awesome resource for the community! 6/n
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Fast Conference Review Turnaround Accelerates AI Research Publication
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But I think the biggest news is just how *fast* the turnaround is. At ~75 days median, that's 2.5 months from submission to notification. The big conferences (NeurIPS, ICML, ICLR) are closer to 4 months. And much faster than JMLR, which takes > 200 days to first reviews. 5/n
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TMLR releases first year operations report highlights
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TMLR (
@TmlrOrg
) just put out a report on their first (almost) year of operations. Here's a with some of the highlights. https://
docs.google.com/document/d/1tJ
Tw-LUJqENC5yxwmcTqlj4_Va1fWFqv7Lxt3eKMcqE/
… 1/n -
TMLR publishes 188 papers with 62% acceptance rate
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TMLR numbers:
– 651 submissions
– 188 accepted papers
– currently ~100 submissions/month
– 189 action editors
– 1846 reviewers
– acceptance rate: 62% (46% if you count desk rejections and withdrawls)
– median time to decision: 76 days (#NeurIPS2022: 118 days, JMLR: >200 days) 2/n -
Machine Unlearning Failures: Adaptivity and Request Ordering Limitations
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And https://
arxiv.org/abs/2106.04378 by Gupta @crispy_jung @sethvneel @Aaroth Sharifi-Malvajerdi @ChrisWaites which shows that adaptivity and ordering of MU requests can fail to cause a point to be unlearned, even if the requests are fulfilled honestly. 9/n -
Camouflage Poisoning Attack on Machine Learning Models
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For more details, please check out the paper and the code! And definitely remember the names of the first authors, Waterloo undergrads Jimmy Di (applied to grad schools this year) and Jack Douglas. https://
arxiv.org/abs/2212.10717 https://
github.com/Jimmy-di/camou
flage-poisoning
… 10/10