– This is a Featured Certification, recognizing it as high quality work, comparable to NeurIPS spotlight or oral. But one example of some very high quality work submitted to TMLR. – At a glance, reviews look super thorough (better than the average NeurIPS review I've seen) 2/3
@thegautamkamath
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TMLR Featured Certification Paper: Rapid Review and Publication Timeline
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Congrats to @dan_biderman et al. on their @TmlrOrg Featured Certification paper!
Few meta things to highlight:
– The paper was submitted to TMLR May 14 (right before the #NeurIPS2024 deadline), accepted July 15 (before NeurIPS even had *reviews*), and *published* August 13. 1/3 -
Authors Deliver Additional Experiments in Camera Ready Version
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– Authors promised additional experiments in their response, and, being accepted with minor revisions, followed through in their CR. Thanks to AE @zhegan4 and the dedicated set of reviewers for handling this paper! 3/3 https://
openreview.net/forum?id=aloEr
u2qCG
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RLCore Hiring: RL Experts Launch Industrial Control Startup
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Just learned about RLCore, co-founders include RL experts @white_martha and Adam White at @UAlberta @AmiiThinks
, focused on applying RL methods to industrial control problems. And they're hiring! Searching for a software lead, ML engineers, and interns. https://
rlcore.ai/careers -
7th Eastern Great Lakes Theory of Computation Workshop October 5-6 Buffalo
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The 7th Eastern Great Lakes Theory of Computation Workshop is October 5-6 in Buffalo, NY! Ft talks including @nsrg_shah @praveshkkothari @sushnt Madhu Sudan, Jon Kleinberg, and the latest Turing winner, Avi Wigderson! Free registration, website link in next tweet
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Question on Grady’s ML Teaching Methodology in Universities
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Genuinely curious: is there anyone who actually teaches an undergrad ML class at a university who chooses to present it in a manner that Grady suggests? Though he prescribes it, I am not aware of any course he has taught, and would be interested to see the syllabus & lectures
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Introducing the r-index: Measuring Research Rejection and Persistence
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Proposing the r-index: you have at least r published papers which have each been rejected at least r times. What's your r-index? I suspect mine is 3.
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AI Image Generation: Aesthetic Appeal vs Accuracy Trade-off
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Agreed. This is really cool if you want to make pretty pictures (though, e.g., the Golden Gate Bridge pics look somewhat artifact-y). But if you *need* something to be accurate, all bets are off. I think there'll be a mismatch between user expectations and what the feature does.
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Findings Model in NLP: A Reasonable Approach
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I think this is the Findings model present in NLP. I think it's a pretty reasonable model.
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Low Hanging Fruit – NIPS 2017 Paper Reference
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Low hanging fruit https://
papers.nips.cc/paper_files/pa
per/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html
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