If you have a subject in mind, search top ranking institutions for experts in the field at the faculty web site. Check their papers and for the ones that look interesting, read the introduction for an overview. There will be dozens of references to other papers and you'll be set for an endless rabbit hole.
for papers that are probably new
<a href="https://arxiv.org/" rel="nofollow">https://arxiv.org/</a> Math Computer Science Physics Quantitative Statistics<p><a href="https://www.biorxiv.org/" rel="nofollow">https://www.biorxiv.org/</a> BioSciences<p><a href="https://www.techrxiv.org/" rel="nofollow">https://www.techrxiv.org/</a><p>For older papaers
<a href="http://citeseerx.ist.psu.edu/index;jsessionid=ED393C2948F844B5C9B89F45338D64EA" rel="nofollow">http://citeseerx.ist.psu.edu/index;jsessionid=ED393C2948F844...</a><p>Last REsort
Google Scholar<p><a href="https://www.researchgate.net/" rel="nofollow">https://www.researchgate.net/</a> Need to have a free accouont so use a throw away email<p>Websites aggregators from above about Deep Learning
<a href="https://paperswithcode.com/" rel="nofollow">https://paperswithcode.com/</a><p><a href="https://neurohive.io/en/" rel="nofollow">https://neurohive.io/en/</a>