Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Dan Gutfreund"'
Autor:
Tamar Lavee, Daniel Hershcovich, Slava Shechtman, Yoav Katz, Guy Moshkowich, Shai Gretz, Yonatan Bilu, Ran Levy, Charles Jochim, Michal Jacovi, Lilach Edelstein, Assaf Toledo, Ariel Gera, Artem Spector, Eyal Shnarch, Aya Soffer, Benjamin Sznajder, Carlos Alzate, Ruty Rinott, Orith Toledo-Ronen, Noam Slonim, Dalia Krieger, Dan Gutfreund, Yosi Mass, Lili Kotlerman, Ranit Aharonov, Liat Ein-Dor, Dafna Sheinwald, Leshem Choshen, Dan Lahav, Amir Menczel, Ben Bogin, David Konopnicki, Yoav Kantor, Shay Hummel, Elad Venezian, Shachar Mirkin, Ilya Shnayderman, Ron Hoory, Roni Friedman-Melamed, Lena Dankin, Martin Gleize, Roy Bar-Haim, Francesca Bonin, Ella Rabinovich, Matan Orbach, Zvi Kons, Alon Halfon, Yufang Hou, Shila Ofek-Koifman, Naftali Liberman, Edo Cohen-Karlik, Assaf Gavron
Publikováno v:
Nature. 591:379-384
Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually associated with intelligent beings. Argument and debate are fundamental capabilities of human intelligence, essential for a wide range of human activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01dd149822094d65fe7bf5ea23f9a8b7
https://doi.org/10.1038/s41586-021-03215-w
https://doi.org/10.1038/s41586-021-03215-w
Autor:
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L.K. Yamins, James J. DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::818c658b5742ec70637f19e5cb189f48
https://doi.org/10.1109/icra46639.2022.9812329
https://doi.org/10.1109/icra46639.2022.9812329
Autor:
Rogerio Feris, Barry A. McNamara, Quanfu Fan, Bowen Pan, Alex Lascelles, Kandan Ramakrishnan, Mathew Monfort, Dan Gutfreund, Alex Andonian, Aude Oliva
Videos capture events that typically contain multiple sequential, and simultaneous, actions even in the span of only a few seconds. However, most large-scale datasets built to train models for action recognition in video only provide a single label p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2edb36df054be2e8cb4f94a3030c3e
http://arxiv.org/abs/1911.00232
http://arxiv.org/abs/1911.00232
Publikováno v:
ICCV
Objects are entities we act upon, where the functionality of an object is determined by how we interact with it. In this work we propose a Dual Attention Network model which reasons about human-object interactions. The dual-attentional framework weig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ddbdb96d687a4f3209d5afd233270f5
http://arxiv.org/abs/1909.04743
http://arxiv.org/abs/1909.04743
Publikováno v:
WACV
We present a novel approach to enhance the challenging task of Visual Question Answering (VQA) by incorporating and enriching semantic knowledge in a VQA model. We first apply Multiple Instance Learning (MIL) to extract a richer visual representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72dde9f684824ca840e784fc93ecc625
https://doi.org/10.1109/wacv.2018.00205
https://doi.org/10.1109/wacv.2018.00205
Autor:
Sarah Adel Bargal, Lisa M. Brown, Kandan Ramakrishnan, Mathew Monfort, Bolei Zhou, Tom Yan, Aude Oliva, Carl Vondrick, Quanfu Fan, Dan Gutfreund, Alex Andonian
We present the Moments in Time Dataset, a large-scale human-annotated collection of one million short videos corresponding to dynamic events unfolding within three seconds. Modeling the spatial-audio-temporal dynamics even for actions occurring in 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60de98aa0cc378059b71e4d55984d950
Publikováno v:
2018 Conference on Cognitive Computational Neuroscience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ac27dcc446778f577b7bffe2341890
https://doi.org/10.32470/ccn.2018.1137-0
https://doi.org/10.32470/ccn.2018.1137-0
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 79:129-144
In the standard agnostic multiclass model, pairs are sampled independently from some underlying distribution. This distribution induces a conditional probability over the labels given an instance, and our goal in this paper is to learn this condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db8512398366cd8ac7481d76acac425e
https://doi.org/10.1007/s10472-015-9465-7
https://doi.org/10.1007/s10472-015-9465-7
Publikováno v:
Machine Learning. 91:1-42
Multi-label classification exhibits several challenges not present in the binary case. The labels may be interdependent, so that the presence of a certain label affects the probability of other labels' presence. Thus, exploiting dependencies among th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62792eaddc9a7b684d2882e3d10ed499
https://doi.org/10.1007/s10994-012-5312-9
https://doi.org/10.1007/s10994-012-5312-9
Publikováno v:
IEEE Conference on Computational Complexity
We show that if Arthur-Merlin protocols can be derandomized, then there is a Boolean function computable in deterministic exponential-time with access to an $\bm{\NP}$ oracle, that cannot be computed by Boolean circuits of {\em exponential} size. Mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83c850048a9ab30938369f050db765ec
https://doi.org/10.1007/s00037-011-0010-8
https://doi.org/10.1007/s00037-011-0010-8