Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Emma Strubell"'
Autor:
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
By providing unprecedented access to computational resources, cloud computing has enabled rapid growth in technologies such as machine learning, the computational demands of which incur a high energy cost and a commensurate carbon footprint. As a res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd9163b05fe00fc5e596f5fed2a5a59
http://arxiv.org/abs/2206.05229
http://arxiv.org/abs/2206.05229
Publikováno v:
AAAI
The field of artificial intelligence has experienced a dramatic methodological shift towards large neural networks trained on plentiful data. This shift has been fueled by recent advances in hardware and techniques enabling remarkable levels of compu
Autor:
Matthew Staib, Haw-Shiuan Chang, Stefanie Jegelka, Alexander van Grootel, Sheshera Mysore, Elsa Olivetti, Edward Kim, Andrew McCallum, Zach Jensen, Kevin Huang, Emma Strubell
Publikováno v:
arXiv
Leveraging new data sources is a key step in accelerating the pace of materials design and discovery. To complement the strides in synthesis planning driven by historical, experimental, and computed data, we present an automated method for connecting
Publikováno v:
Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP).
Assessing and shaping the effects of artificial intelligence (AI) and machine learning (ML) on climate change mitigation demands a concerted effort across research, policy, and industry. However, there is great uncertainty regarding how ML may affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7fa26b776080c6bcf48c0644c4ebe7
https://hal.archives-ouvertes.fr/hal-03368037
https://hal.archives-ouvertes.fr/hal-03368037
Publikováno v:
COMPASS
Modeling human mobility has a wide range of applications from urban planning to simulations of disease spread. It is well known that humans spend 80% of their time indoors but modeling indoor human mobility is challenging due to three main reasons: (
Publikováno v:
Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021).
In this work, we empirically compare span extraction methods for the task of semantic role labeling (SRL). While recent progress incorporating pre-trained contextualized representations into neural encoders has greatly improved SRL F1 performance on
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Publikováno v:
Journal of Theoretical Biology. 418:8-15
Beginning in 2001, many instances of malicious software known as Internet worms have been using biological strategies such as hierarchical dispersal to seek out and spread to new susceptible hosts more efficiently. We measured the distribution of pot
Publikováno v:
ACL (1)
Recent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data. These models have obtained notable gains in accuracy across many NLP tasks. However, these accuracy i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189382b6b6575ed1937e513397dc8056