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This serves pretty much as an extensive Deep Learning State of the Art reference. See e.g. https://paperswithcode.com/sota/image-classification-on-imagenet http
by stared 6y ago
This serves pretty much as an extensive Deep Learning State of the Art reference. See e.g. https://paperswithcode.com/sota/image-classification-on-imagenet https://paperswithcode.com/sota/image-classification-on-imag....
I am impressed by its content. I use both for research (to track progress) and teaching.
Previous references:
- Measuring the Progress of AI Research by Electronic Frontier Foundation, https://www.eff.org/ai/metrics https://www.eff.org/ai/metrics
- Natural Language Processing Progress https://nlpprogress.com/ https://nlpprogress.com/
are great, but nowhere near Papers with Code, when it comes to the completeness, and UI.
- EvgeniyZh 6y agoUnfortunately, outside of most popular tasks it is much less populated. But it's community driven, so I encourage researchers from areas for which leaderboards are not populated to fill them and try to keep it up to date. It's not hard to choose a single task and update the tables and can be very profitable for the community.