We solved mode collapse and log-likelihood evaluation for GANs (https://arxiv.org/abs/1910.04302 ) ... I still see papers on GANs coming out that don’t build on this advance.
Do you have an example of an underrated or underreported AI result from 2019--something that deserves to be more widely known? Please reply and share your thoughts!
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- Još 4 druga odgovora
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Adaptively Sparse Transformers. By Gonçalo M. Correia, et. al. I think the research by André F.T. Martins, directly and supervised, has been consistently impressive and very honest. https://arxiv.org/abs/1909.00015 pic.twitter.com/VRDbknpsU5
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Deep Learning For Symbolic Mathematics https://arxiv.org/abs/1912.01412
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I haven't read that paper yet, but I do have this critical appraisal of it in my reading list. Both look worth reading. https://arxiv.org/abs/1912.05752
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A new, large and completely open dataset for endoscopy images and videos:https://osf.io/mh9sj/
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We made the first AI generated functional proteinhttps://doi.org/10.1101/789719
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"A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex" from
@Numentahttps://www.frontiersin.org/articles/10.3389/fncir.2018.00121/full … - Još 3 druga odgovora
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The idea of CPP-VAE, which proposes a stochastic conditioning scheme for CVAEs. It in fact forces the CVAE to sample a latent variable given the condition. It also addresses the posterior collapse problem of CVAEs with strong conditions.https://twitter.com/aa_sadegh/status/1207495928908668929?s=19 …
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