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pro vyhledávání: '"Hillier, Dylan"'
In this work we explore the relevance of dropout for modern language models, particularly in the context of models on the scale of <100M parameters. We explore it's relevance firstly in the regime of improving the sample efficiency of models given sm
Externí odkaz:
http://arxiv.org/abs/2409.05423
Social learning plays an important role in the development of human intelligence. As children, we imitate our parents' speech patterns until we are able to produce sounds; we learn from them praising us and scolding us; and as adults, we learn by wor
Externí odkaz:
http://arxiv.org/abs/2407.21713
The rapid advancement of large language models (LLMs) has led to significant improvements in natural language processing but also poses challenges due to their high computational and energy demands. This paper introduces a series of research efforts
Externí odkaz:
http://arxiv.org/abs/2405.14159
Autor:
Eichenberger, Christian, Neun, Moritz, Martin, Henry, Herruzo, Pedro, Spanring, Markus, Lu, Yichao, Choi, Sungbin, Konyakhin, Vsevolod, Lukashina, Nina, Shpilman, Aleksei, Wiedemann, Nina, Raubal, Martin, Wang, Bo, Vu, Hai L., Mohajerpoor, Reza, Cai, Chen, Kim, Inhi, Hermes, Luca, Melnik, Andrew, Velioglu, Riza, Vieth, Markus, Schilling, Malte, Bojesomo, Alabi, Marzouqi, Hasan Al, Liatsis, Panos, Santokhi, Jay, Hillier, Dylan, Yang, Yiming, Sarwar, Joned, Jordan, Anna, Hewage, Emil, Jonietz, David, Tang, Fei, Gruca, Aleksandra, Kopp, Michael, Kreil, David, Hochreiter, Sepp
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggregated GPS probe data in time and space bins. We thus reinterpreted the c
Externí odkaz:
http://arxiv.org/abs/2203.17070
The landscape of city-wide mobility behaviour has altered significantly over the past 18 months. The ability to make accurate and reliable predictions on such behaviour has likewise changed drastically with COVID-19 measures impacting how populations
Externí odkaz:
http://arxiv.org/abs/2110.11140