Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kumar Krishna Agrawal"'
Autor:
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3dc34e108555b1dc1d93f7156958ae
https://doi.org/10.1007/978-3-031-19839-7_36
https://doi.org/10.1007/978-3-031-19839-7_36
Autor:
Ryan Hausen, Jonathan Chen, Ameet Soni, Marion Neumann, Todd W. Neller, Cinjon Resnick, Krista Karbowski Thomason, Michael Guerzhoy, Jiaoyang Li, Sven Koenig, Matthew Evett, Bibin Sebastian, Stephen Keeley, Narges Norouzi, Surya Bhupatiraju, Wolfgang Hoenig, Kumar Krishna Agrawal, Avital Oliver, Tom Larsen, Sejong Yoon, James Urquhart Allingham, Lisa Zhang
Publikováno v:
AAAI
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd6fa19ceaff491ead9e2cfa8fae10ac
https://doi.org/10.1609/aaai.v34i09.7072
https://doi.org/10.1609/aaai.v34i09.7072
Autor:
Christopher Archibald, Cinjon Resnick, Lisa Zhang, Michael Wollowski, Nate Derbinsky, Elena Strange, Jonathan Chen, Zac Christensen, Paul Talaga, Marion Neumann, Michael Guerzhoy, Todd W. Neller, Avital Oliver, Adam Summerville, Kumar Krishna Agrawal, Oscar Youngquist, Surya Bhupatiraju, Raja Sooriamurthi, Joseph C. Osborn
Publikováno v:
AAAI
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc49b7a417561fb25209a22b818e824b
https://doi.org/10.1609/aaai.v33i01.33019751
https://doi.org/10.1609/aaai.v33i01.33019751
Autor:
Anmol Gulati, Kumar Krishna Agrawal
Publikováno v:
RepEval@EMNLP
Acquiring language provides a ubiquitous mode of communication, across humans and robots. To this effect, distributional representations of words based on co-occurrence statistics, have provided significant advancements ranging across machine transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17473dee35b4ef0850fec85b9e47b25
https://doi.org/10.18653/v1/w17-5305
https://doi.org/10.18653/v1/w17-5305
Publikováno v:
CVPR Workshops
In this paper, we introduce Key-Value Memory Networks to a multimodal setting and a novel key-addressing mechanism to deal with sequence-to-sequence models. The proposed model naturally decomposes the problem of video captioning into vision and langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dcf011de89905c3a34a8a555107a3c0
http://arxiv.org/abs/1611.06492
http://arxiv.org/abs/1611.06492