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pro vyhledávání: '"Richard S. Zemel"'
Autor:
Jörn-Henrik Jacobsen, Matthias Bethge, Felix A. Wichmann, Claudio Michaelis, Wieland Brendel, Richard S. Zemel, Robert Geirhos
Publikováno v:
Nature Machine Intelligence. 2:665-673
Deep learning has triggered the current rise of artificial intelligence and is the workhorse of today's machine intelligence. Numerous success stories have rapidly spread all over science, industry and society, but its limitations have only recently
Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems. We take an initial step toward machine generation of slang by developing a framework that mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119ec51c4d64279950edd5b9a1aab488
Publikováno v:
FAT
How do we learn from biased data? Historical datasets often reflect historical prejudices; sensitive or protected attributes may affect the observed treatments and outcomes. Classification algorithms tasked with predicting outcomes accurately from th
Autor:
Felix A. Wichmann, Robert Geirhos, Wieland Brendel, Jörn-Henrik Jacobsen, Matthias Bethge, Claudio Michaelis, Richard S. Zemel
Publikováno v:
Journal of Vision. 20:652
Publikováno v:
CVPR
We consider learning a distance metric in a weakly supervised setting where bags (or sets) of instances are labeled with bags of labels. A general approach is to formulate the problem as a Multiple Instance Learning (MIL) problem where the metric is
Autor:
Richard S. Zemel, Mengye Ren
Publikováno v:
CVPR
While convolutional neural networks have gained impressive success recently in solving structured prediction problems such as semantic segmentation, it remains a challenge to differentiate individual object instances in the scene. Instance segmentati
Publikováno v:
International Journal of Computer Vision. 113:67-79
Tasks that require the synchronization of perception and action are incredibly hard and pose a fundamental challenge to the fields of machine learning and computer vision. One important example of such a task is the problem of performing visual recog
Publikováno v:
Perturbations, Optimization, and Statistics ISBN: 9780262337939
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60da2d99c075b3f54514771060b60338
https://doi.org/10.7551/mitpress/10761.003.0004
https://doi.org/10.7551/mitpress/10761.003.0004
Autor:
Richard S. Zemel
Publikováno v:
ICMI
Recent advances in computer vision, natural language processing and related areas has led to a renewed interest in artificial intelligence applications spanning multiple domains. Specifically, the generation of natural human-like captions for images
Publikováno v:
Rep4NLP@ACL