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Tweet round-up from the first few days of #NeurIPS2020

AIHub

It's been a busy few days at NeurIPS 2020 so far with all manner of talks, workshops, tutorials and socials on offer. This selection of tweets gives a flavour of the various events and discussions taking place. Go watch it right now, you won't regret it! Interesting talk by Chris Bishop at #NeurIPS2020 Basic or Applied research is not a 1D space. Next up at #NeurIPS2020: Shafi Goldwasser presenting on three works about privacy, verifiability, and robustness in machine learning.


NeurIPS 2021 highlights

#artificialintelligence

Other talks also reflected the shift towards a data-centric approach, with a focus on building quality data sets. The notion of data annotation quality was central, and many speakers discussed the challenges of achieving high-quality data sets. As a community, we have a clear understanding of how to measure the quality of models. However, the quality of the data set is somehow still a vague and largely unexplored problem. To bring some light to the topic, some speakers proposed measuring errors in a data set as one of the most important quality measurements.


#NeurIPS2021 in tweets – highlights from the first two days

AIHub

Consequences of Massive Scaling in Machine Learning opening panel #NeurIPS2021 agrees LLMs haven't yet shifted paradigm, but might do so when we find emergent intelligence *without* understanding.


[D] NeurIPS'2020 paper review

#artificialintelligence

Now NeurIPS reviews are assigned, given the changes that they made this year (desk rejects and etc.), I am wondering how reviewers find the process of assignment and bidding so far, and how many paper has been assigned to each reviewer?


Seven Stony Brook AI Papers Make Prestigious NeurIPS Conference

#artificialintelligence

As a global cornerstone of the artificial intelligence community, NeurIPS … "NeurIPS is the premier conference in machine learning, with prominence …