13 years ago at Neurips 2009, 3 years before AlexNet, a young student @ilyasut explaining to my dinner table why Deep Learning is gonna be the future.
Looking forward to #NeurIPS2022.
RESEARCH
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Deep Learning’s Future: A 2009 NeurIPS Prediction Recalled
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Paper Review Quality Assessment in AI Research
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Correct, some is cut off. The reviewers also give a brief summary of the paper and list two strengths and weaknesses. I don't know the area/work, but at a glance, certainly not the worst review I've ever seen. (Not linking here to avoid a pile-on)
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Overfitting in AI Research: Need Better Global Standards
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2) During lockdown my team and I explored a lot of the GitHubs from China based publishers & found quite a few claiming major breakthroughs to be overfitted. To be fair it also happens with some US researchers. AI needs better research standards globally. Don’t believe the hype!
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ICLR Code of Conduct and Organizer Authority Questioned
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The ICLR code of conduct (
https://
iclr.cc/public/CodeOfC
onduct
…) states "conference organizers may take any action they deem appropriate." So I guess the organizers deemed it appropriate. -
US dominance in AI innovation: transformers, GANs, and key breakthroughs
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1) most of the innovation in AI is still occurring via the US or US related entities (eg DeepMind). The key defining techniques such as Transformers with Self Attention, GANs, Federated Learning, Deep Reinforcement Learning, Neurosymbolic AI all emerged in the West.
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Management Must Address AI Cascade Risk Self-Fulfilling Prophecy
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Yup. It would be good for management to consider bow to stop the cascade, or it turns to self-fulfilling prophecy.
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Responding to Peer Reviews: Ethics and Professional Conduct
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How NOT to respond to reviewers. Getting paper reviews can be emotional, but try to be kind and not resort to personal attacks. Instead, this author chose to lash out, leading to impressively quick reprimand from the PC chairs. And there will be no anonymity after decisions.
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For-Profit Social Media Networks and Algorithmic Polarization
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This paper makes an important argument as to why for-profit social media networks will always tend to encouraging polarizing moral outrage, even if that was not the original intent of the platform creators. https://
x.com/emollick/statu
/emollick/status/1580568584606322690
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Strategic errors cascade failures in AI systems
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Related thread on how strategic errors can lead to complex cascades of failures.
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TMLR Launches First Publication with Featured Certification
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TMLR's first publication with a Featured Certification! (Learn more about TMLR certifications at https://
jmlr.org/tmlr/editorial
-policies.html#certifications
…)