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.
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.