Zobrazeno 1 - 10
of 3 503
pro vyhledávání: '"Albert Paul"'
Autor:
Albert, Paul, Valmadre, Jack, Arazo, Eric, Krishna, Tarun, O'Connor, Noel E., McGuinness, Kevin
Training a classifier on web-crawled data demands learning algorithms that are robust to annotation errors and irrelevant examples. This paper builds upon the recent empirical observation that applying unsupervised contrastive learning to noisy, web-
Externí odkaz:
http://arxiv.org/abs/2407.05528
Autor:
Zhang, Frederic Z., Albert, Paul, Rodriguez-Opazo, Cristian, Hengel, Anton van den, Abbasnejad, Ehsan
Pre-trained models produce strong generic representations that can be adapted via fine-tuning. The learned weight difference relative to the pre-trained model, known as a task vector, characterises the direction and stride of fine-tuning. The signifi
Externí odkaz:
http://arxiv.org/abs/2407.02880
Clover fixates nitrogen from the atmosphere to the ground, making grass-clover mixtures highly desirable to reduce external nitrogen fertilization. Herbage containing clover additionally promotes higher food intake, resulting in higher milk productio
Externí odkaz:
http://arxiv.org/abs/2404.11230
Autor:
Elliott, Richard M.
Publikováno v:
The American Journal of Psychology, 1931 Oct 01. 43(4), 707-709.
Externí odkaz:
https://www.jstor.org/stable/1415186
Autor:
Bloomfield, Leonard
Publikováno v:
Language, 1931 Sep 01. 7(3), 219-221.
Externí odkaz:
https://www.jstor.org/stable/408815
Autor:
Krishna, Tarun, Rai, Ayush K, Drimbarean, Alexandru, Arazo, Eric, Albert, Paul, Smeaton, Alan F, McGuinness, Kevin, O'Connor, Noel E
Computationally expensive training strategies make self-supervised learning (SSL) impractical for resource constrained industrial settings. Techniques like knowledge distillation (KD), dynamic computation (DC), and pruning are often used to obtain a
Externí odkaz:
http://arxiv.org/abs/2301.09164
Characterizing the sleep-wake cycle in adolescents is an important prerequisite to better understand the association of abnormal sleep patterns with subsequent clinical and behavioral outcomes. The aim of this research was to develop hidden Markov mo
Externí odkaz:
http://arxiv.org/abs/2212.11224
Designing robust algorithms capable of training accurate neural networks on uncurated datasets from the web has been the subject of much research as it reduces the need for time consuming human labor. The focus of many previous research contributions
Externí odkaz:
http://arxiv.org/abs/2210.04578