Learning to Learn Variational Semantic Memory

Autor: Zhen, X., Du, Y., Xiong, H., Qiu, Q., Snoek, C., Shao, L., Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H.

Publikováno v: 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020, 11, 9122-9134

In this paper, we introduce variational semantic memory into meta-learning to acquire long-term knowledge for few-shot learning. The variational semantic memory accrues and stores semantic information for the probabilistic inference of class prototyp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::fc7a008a6d067fc5f4c80474b9073e82
https://dare.uva.nl/personal/pure/en/publications/learning-to-learn-variational-semantic-memory(b0a3861d-0395-4bd5-9ab1-77ed438e174a).html

Hyperspherical Prototype Networks

Autor: Mettes, P., Van Der Pol, E., Snoek, C., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Garnett, R.

Publikováno v: 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019, 1476-1477
STARTPAGE=1476;ENDPAGE=1477;TITLE=32nd Conference on Neural Information Processing Systems (NeurIPS 2019)

This paper introduces hyperspherical prototype networks, which unify classification and regression with prototypes on hyperspherical output spaces. For classification, a common approach is to define prototypes as the mean output vector over training

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9334339221d44ccf60e26d5184132760
https://dare.uva.nl/personal/pure/en/publications/hyperspherical-prototype-networks(1d878555-35ff-49f9-9579-b2d140584ab9).html

ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06 - 09, 2017

Autor: Ionescu, B., Sebe, N., Feng, J., Larson, M., Lienhart, R., Snoek, C.

Item does not contain fulltext 504 p.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f8efa27b285e64f3dbd73a7f5d22123
https://hdl.handle.net/2066/173199

Online Action Detection

Autor: De Geest, R., Gavves, E., Ghodrati, A., Li, Z., Snoek, C., Tuytelaars, T., Leibe, B., Matas, J., Sebe, N., Welling, M.

Publikováno v: Computer Vision – ECCV 2016 ISBN: 9783319464534
ECCV (5)
Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016 : proceedings, 5, 269-284

In online action detection, the goal is to detect the start of an action in a video stream as soon as it happens. For instance, if a child is chasing a ball, an autonomous car should recognize what is going on and respond immediately. This is a very

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234a713cfd2f64600b4f885aae0c1e03
https://doi.org/10.1007/978-3-319-46454-1_17

Lerarenhandleing groep 3 : lesprogramma over eten en smaak voor het basisonderwijs

Autor: Snoek, C., van den Top-Pullen, R., Regelink, M.H.

Het programma Smaaklessen is bedoeld voor leerkrachten van het basisonderwijs en hun leerlingen van 4-12 jaar. De leskaternen zijn bedoeld als handleiding voor de leerkracht en bevatten allerlei lessuggesties. Deze docentenhandleiding is bedoeld voor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2424c77ca4db15224adf2b4dd8926565
https://research.wur.nl/en/publications/lerarenhandleing-groep-3-lesprogramma-over-eten-en-smaak-voor-het