<p>I often need to discern what the State of the Art (SOTA) is for certain Machine Learning Applications, which I currently ask on the Fast.ai forums. For example:</p>

<ul>
<li><a href="https://forums.fast.ai/t/missing-values-in-time-series-data/28155?u=seanny123" rel="nofollow noreferrer">How does Deep Learning deal with missing values in time series?</a></li>
<li><a href="https://forums.fast.ai/t/explanability-of-rnns/31598?u=seanny123" rel="nofollow noreferrer">"Explanability" analysis for time-series regression in Deep Learning</a></li>
</ul>

<p>I don't think these are on-topic, because the question essentially boils down to "what's out there?" which isn't very answerable and seems more suitable for a forum and/or wiki. However, I wanted to check my conclusion with the community before self-filtering.</p>
