Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Vasudev Lal"'
Autor:
Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip R. Howard, Vasudev Lal, Zev Rivlin
Publikováno v:
Artificial General Intelligence ISBN: 9783031199066
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db8050c8dc03703c1f50253859bbcd7b
https://doi.org/10.1007/978-3-031-19907-3_39
https://doi.org/10.1007/978-3-031-19907-3_39
Autor:
Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::331fad756b360abe849e2a42c1cba917
https://doi.org/10.1007/978-3-031-28244-7_42
https://doi.org/10.1007/978-3-031-28244-7_42
Breakthroughs in transformer-based models have revolutionized not only the NLP field, but also vision and multimodal systems. However, although visualization and interpretability tools have become available for NLP models, internal mechanisms of visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bdcf6ed9684f2243b03ac8ee18258d5
Publikováno v:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085ee850b2b8f490ceb8a2f2ede33228
https://doi.org/10.18653/v1/2022.wassa-1.11
https://doi.org/10.18653/v1/2022.wassa-1.11
Publikováno v:
CIKM
Deep learning (DL) has made rapid progress in the last decade, with neural network-based language and vision models achieving state-of-the-art performance in various tasks. Yet purely data-driven neural network models exhibit several issues impacting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27b3dad9adb4a8c1ab3cbe72b27c4b4b
https://doi.org/10.1145/3459637.3482035
https://doi.org/10.1145/3459637.3482035
Autor:
Oren Pereg, Phillip Howard, Moshe Wasserblat, Ana Simoes, Daniel Korat, Estelle Aflalo, Gadi Singer, Arden Ma, Vasudev Lal
Publikováno v:
EACL (System Demonstrations)
With the increasingly widespread use of Transformer-based models for NLU/NLP tasks, there is growing interest in understanding the inner workings of these models, why they are so effective at a wide range of tasks, and how they can be further tuned a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5513fa28d91aea2d9d6110f78c7d5cd5
https://doi.org/10.18653/v1/2021.eacl-demos.17
https://doi.org/10.18653/v1/2021.eacl-demos.17
Publikováno v:
Light-Emitting Diodes: Research, Manufacturing, and Applications XII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5207b65b8913977c3fd71812aff5fb4
https://doi.org/10.1117/12.763222
https://doi.org/10.1117/12.763222