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Of course interesting things happen outside of mainstream deep learning. The problem is that sorting by citation count is a terrible way to look broadly at rese
by mtcrawshaw 4y ago
Of course interesting things happen outside of mainstream deep learning. The problem is that sorting by citation count is a terrible way to look broadly at research, because mainstream deep learning is so hyped up that there are just way more people working in that area than in other areas, and with more people come more citations.
It's a shame because I think that other areas offer much more interesting and technical questions, but many new researchers are only exposed to mainstream deep learning because the enormous hype drowns out everything else.
- agolio 4y agoDisagree, or can you name some recent AI developments outside of DL that are anywhere near as groundbreaking?
- dadoomer 4y agoAs far as I know, the field of robotics sees plenty of innovation with no deep learning involved. Whether you count robotics as AI is up to debate, I suppose
- melony 4y agoAny real innovation on the mechatronics side? The computer vision and controls are now increasingly dominated by deep learning.
- dadoomer 4y agoThere have been strong deep-learning contributions to control, but I wouldn't say control is dominated by deep learning at this point. For instance, take a look at ICRA 2022 awards for "Outstanding Dynamics and Control" and "Outstanding Locomotion". https://icra2022.org/program/awards https://icra2022.org/program/awards
- nl 4y agoTo be clear: I think the hype around deep learning is 100% justified (in fact I think it is underplayed). But in terms of groundbreaking I do think "Zero-Knowledge Proofs for Machine Learning"[1] from 2020 has the potential to unlock some really revolutionary applications in the sense of "things that were not really possible without it". [1] https://dl.acm.org/doi/abs/10.1145/3411501.3418608 https://dl.acm.org/doi/abs/10.1145/3411501.3418608
- adityamwagh 4y agoWhy is it under a paywall? :(