To make it absolutely clear, like I said, this is an EXPERIMENT, similar to past experiments at NeurIPS and ICML. It will not have a significant impact on the actual decisions, more just to gather data. I have heard there have been emails complaining… x.com/thegautamkamat…
@thegautamkamath
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AI Chatbot Designed for Refund Processing
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Just use your AI chatbot designed to get you a refund in response.
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Lupe Fiasco Discusses Complexity Theory at MIT
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Lupe Fiasco (
@LupeFiasco
) giving a talk at MIT in front of a blackboard covered in complexity theory https://
youtube.com/watch?v=zBHRsY
hYb-o
… -
Self-ranking method improves academic paper evaluation system
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This is an obvious critique, which the paper deals with. It makes you rank your own papers against each other. This turns out to make things work out. Check out the paper!
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ICML 2023 Experiments with Author Self-Review System
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Very interesting! #ICML2023 will experiment with letting authors review their own papers Here's the paper by @weijie444
, which uses authors' rankings of their own papers to improve reviewing outcomes. It incentivizes authors to tell the truth. https://
arxiv.org/abs/2110.14802 -
Emmanuel Candès Raps ChatGPT Verse at ICSDS2022 Conference
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As if on cue, during a plenary talk on conformal prediction at #ICSDS2022, Emmanuel Candès raps (!) a verse written by chatGPT via @Aaroth
's prompt. (the audience contributed the chorus) -
Aaron Roth Releases Comprehensive Uncertainty Estimation Machine Learning Course
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Aaron Roth (
@aaroth
) just wrapped up a brand new course on uncertainty estimation in machine learning. Looks great! Featuring 160 pages of "notes" (pretty much a book): https://
cis.upenn.edu/~aaroth/uncert
ain.html
…
Full lecture videos: https://
youtube.com/playlist?list=
PLlIlhe_rS4U0D3jRXfwTfq3aDngb3w-hU
…
Catchy website: https://
uncertaintyclass.com. -
ML Students’ Sleep Regression During Graduate Studies
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ML grad school is sometimes called "sleep regression regression", when students regress to fitting models when they should be sleeping https://
t.co/9Nd3qAo6aZ -
Federated Learning Protects Privacy in AI Model Training
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Federated learning, wherein training data never leaves the user's device (only gradients or model parameters), is an effective way to protect the privacy of individual training points.