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Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors.

, , , , , and . ICLR (Poster), OpenReview.net, (2019)

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Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors., , , , , and . ICLR (Poster), OpenReview.net, (2019)Expressy: Using a Wrist-worn Inertial Measurement Unit to Add Expressiveness to Touch-based Interactions., , , , , , , , and . CHI, page 2832-2844. ACM, (2016)Automatic correction of annotation boundaries in activity datasets by class separation maximization., , , , , , and . UbiComp (Adjunct Publication), page 673-678. ACM, (2013)CueS: cueing for upper limb rehabilitation in stroke., , , , , , , , , and . BCS HCI, page 18-25. ACM, (2015)Feature Learning for Activity Recognition in Ubiquitous Computing., , and . IJCAI, page 1729-1734. IJCAI/AAAI, (2011)How did I do?: Automatic Skill Assessment from Activity Data., , , , , , , and . GetMobile Mob. Comput. Commun., 19 (4): 18-22 (2015)Cueing for drooling in Parkinson's disease., , , , , , , , , and 1 other author(s). CHI, page 619-622. ACM, (2011)Offline bilingual word vectors, orthogonal transformations and the inverted softmax., , , and . CoRR, (2017)Neural Language Priors., , , and . CoRR, (2019)Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition., , , and . CoRR, (2013)