Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cesar Ilharco"'
Autor:
Chun-Sung Ferng, Allan Heydon, Arjun Gopalan, Yicheng Fan, Chun-Ta Lu, George Yu, Philip Pham, Cesar Ilharco Magalhaes, Da-Cheng Juan, Yueqi Wang
Publikováno v:
WSDM
We present Neural Structured Learning (NSL) in TensorFlow [1], a new learning paradigm to train neural networks by leveraging structured signals in addition to feature inputs. Structure can be explicit as represented by a graph, or implicit, either i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3255c9572e8617a20eb4747d2fec13ef
https://doi.org/10.1145/3437963.3441666
https://doi.org/10.1145/3437963.3441666
Autor:
Arjun Gopalan, Qin Cao, Chris Bregler, Georg Fritz Osang, Vaiva Imbrasaite, Jannis Bulian, Ricardo Abasolo Marino, Gabriel Ilharco, Roma Patel, Lucas Smaira, Gabriel Fedrigo Barcik, Afsaneh Hajiamin Shirazi, Felipe Ferreira, Jared Frank, Arsha Nagrani, Cesar Ilharco, Blaz Bratanic, Thomas Leung, Christina Funk
Publikováno v:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Tutorial Abstracts.
How information is created, shared and consumed has changed rapidly in recent decades, in part thanks to new social platforms and technologies on the web. With ever-larger amounts of unstructured and limited labels, organizing and reconciling informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a706b2140499a932a5858d105f1856f1
https://doi.org/10.18653/v1/2021.acl-tutorials.6
https://doi.org/10.18653/v1/2021.acl-tutorials.6
Autor:
Allan Heydon, Benjamin Ricaud, Linjun Shou, Dmitry Ustalov, Yanick Schraner, George Yu, Daria Baidakova, Ly Dinh, Paul Groth, Mehrnoosh Sameki, Marinka Zitnik, Flavian Vasile, Krishnaram Kenthapadi, Benjamin Wollmer, Felix Gessert, Da-Cheng Juan, Hong Cheng, Javier Albert, David Rohde, Onur Celebi, Robert West, Xiang Wang, Dawei Yin, Amine Benhalloum, Junzhou Huang, Fuchun Sun, Michaël Defferrard, Ming Gong, Rezvaneh Rezapour, Levan Tsinadze, Shubhanshu Mishra, Stratis Ioannidis, Francisco M. Couto, Yicheng Fan, Xiangnan He, Christian Scheller, Yueqi Wang, Yu Rong, Pasquale Lisena, Sharada P. Mohanty, Nicolas Aspert, Irene Teinemaa, Chun-Ta Lu, Volodymyr Miz, Jiawei Chen, Johny Jose, Xiangyu Zhao, Philip Pham, Yatao Bian, Manuel K. Schneider, Jennifer G. Dy, Nashlie Sephus, Dmitri Goldenberg, Jiliang Tang, Fuli Feng, Wenbing Huang, Olivier Jeunen, Wenqi Fan, Nikita Popov, Mario Koenig, Shobeir Fakhraei, Olesia Altunina, Smriti Bhagat, Samin Aref, Chun-Sung Ferng, Wolfram Wingerath, Evann Courdier, Martin Müller, Xiubo Geng, Xingjie Zhou, Otmane Sakhi, Dragan Cvetinovic, Florian Laurent, Norbert Ritter, Cesar Ilharco Magalhaes, Stephan Succo, Jian Pei, Ben Packer, Tingyang Xu, Ilkay Yildiz, Rose Howell, Jana Diesner, Tudor Mihai Avram, Arjun Gopalan, Alexey Drutsa, Daxin Jiang, Albert Meroño-Peñuela, Christos Faloutsos
Publikováno v:
The Web Conference 2021: companion of the World Wide Web Conference WWW 2021: April 19-23, 2021, Ljubljana, Slovenia
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)
This report summarizes the 23 tutorials hosted at The Web Conference 2021: nine lecture-style tutorials and 14 hands-on tutorials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db21f1ce6612200bda91f82be15d8cf
https://doi.org/10.1145/3442442.3453701
https://doi.org/10.1145/3442442.3453701
Autor:
Cesar Ilharco Magalhaes, Philip Pham, Arjun Gopalan, Allan Heydon, George Yu, Da-Cheng Juan, Chun-Ta Lu, Chun-Sung Ferng
Publikováno v:
KDD
We present Neural Structured Learning (NSL) in TensorFlow [2], a new learning paradigm to train neural networks by leveraging structured signals in addition to feature inputs. Structure can be explicit as represented by a graph, or implicit, either i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c23adf6006a192cebd5078f29999cd3
https://doi.org/10.1145/3394486.3406701
https://doi.org/10.1145/3394486.3406701
Publikováno v:
EMNLP (Tutorial Abstracts)
Scale has played a central role in the rapid progress natural language processing has enjoyed in recent years. While benchmarks are dominated by ever larger models, efficient hardware use is critical for their widespread adoption and further progress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cdccd77a9bb3379f5d54d6e1dac9164
https://doi.org/10.18653/v1/2020.emnlp-tutorials.4
https://doi.org/10.18653/v1/2020.emnlp-tutorials.4
Publikováno v:
MED
Congestion control for Web real-time communication (WebRTC) is a hot topic currently addressed at the IETF. Differently from congestion control for TCP, congestion control for WebRTC not only aims at containing packet losses, but also aims at minimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35bc1620a96b2bd6db50dbb35d4248cf
http://hdl.handle.net/11589/90689
http://hdl.handle.net/11589/90689