Photos and videos
Christian Hardmeier retweeted
31 Oct 2022
"Experimental Standards for Deep Learning in Natural Language Processing Research", an updated version of our workshop paper, got accepted at @emnlpmeeting! #emnlp2022 ๐ฅณ Check the version below to learn how to make your empirical research more rigorous! arxiv.org/abs/2204.06251
28 Apr 2022
Super proud to announce our @NLPnorth collaboration with @EliBassignana, @mxmeij, @DanielVarab, @mjjzha, Christian Hardmeier, @barbara_plank: "Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective"! ๐งต(1/4) #iclr2022
ALT Schematic representation of the experimental pipeline in Deep Learning research: Starting from a hypothesis, adequate data is used for experiments which, including additional analyses, provide evidence for or against the initial hypothesis, which can then be disseminated in a publication.
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Christian Hardmeier retweeted
20 Apr 2022
I am excited to announce a new version of deep-significance, version 1.2.6! ๐ฅณ Below I'll talk about changes that were made while writing a demo paper, which can be found here: arxiv.org/pdf/2204.06815.pdf, the package itself is at github.com/Kaleidophon/deep-โฆ ๐งต (1/5)
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Christian Hardmeier retweeted
28 Oct 2022
I'm so happy to finally announce our work with @jesfrellsen and @ch_hardmeier at @emnlpmeeting: We create a large benchmark of uncertainty quantification for #NLProc (8 models, up to 7 metrics) on three different languages! ๐งต (1/10) arxiv.org/abs/2210.15452 #emnlp2022
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