Zobrazeno 1 - 10
of 29 736
pro vyhledávání: '"Attias"'
We present novel reductions from sample compression schemes in multiclass classification, regression, and adversarially robust learning settings to binary sample compression schemes. Assuming we have a compression scheme for binary classes of size $f
Externí odkaz:
http://arxiv.org/abs/2410.13012
We study the fundamental problem of sequential probability assignment, also known as online learning with logarithmic loss, with respect to an arbitrary, possibly nonparametric hypothesis class. Our goal is to obtain a complexity measure for the hypo
Externí odkaz:
http://arxiv.org/abs/2410.03849
Convolutional Neural Networks (CNNs) excel in many visual tasks, but they tend to be sensitive to slight input perturbations that are imperceptible to the human eye, often resulting in task failures. Recent studies indicate that training CNNs with re
Externí odkaz:
http://arxiv.org/abs/2410.03952
Autor:
Saba, Andrew, Adetunji, Aderotimi, Johnson, Adam, Kothari, Aadi, Sivaprakasam, Matthew, Spisak, Joshua, Bharatia, Prem, Chauhan, Arjun, Duff Jr., Brendan, Gasparro, Noah, King, Charles, Larkin, Ryan, Mao, Brian, Nye, Micah, Parashar, Anjali, Attias, Joseph, Balciunas, Aurimas, Brown, Austin, Chang, Chris, Gao, Ming, Heredia, Cindy, Keats, Andrew, Lavariega, Jose, Muckelroy III, William, Slavescu, Andre, Stathas, Nickolas, Suvarna, Nayana, Zhang, Chuan Tian, Scherer, Sebastian, Ramanan, Deva
Publikováno v:
Field Robotics Volume 4 (2024) 1-45
Autonomous motorsports aim to replicate the human racecar driver with software and sensors. As in traditional motorsports, Autonomous Racing Vehicles (ARVs) are pushed to their handling limits in multi-agent scenarios at extremely high ($\geq 150mph$
Externí odkaz:
http://arxiv.org/abs/2408.15425
In this work, we investigate the problem of adapting to the presence or absence of causal structure in multi-armed bandit problems. In addition to the usual reward signal, we assume the learner has access to additional variables, observed in each rou
Externí odkaz:
http://arxiv.org/abs/2407.00950
Autor:
Salierno, Giulio, Bertè, Rosamaria, Attias, Luca, Morrone, Carla, Pettazzoni, Dario, Battisti, Daniela
Recent advances in Natural Language Processing have demonstrated the effectiveness of pretrained language models like BERT for a variety of downstream tasks. We present GiusBERTo, the first BERT-based model specialized for anonymizing personal data i
Externí odkaz:
http://arxiv.org/abs/2406.15032
Autor:
Stébé, Jean-Marc
Publikováno v:
Revue française de sociologie, 2021 Apr 01. 62(2), 345-348.
Externí odkaz:
https://www.jstor.org/stable/27185662
Autor:
Bregoli, Francesca
Publikováno v:
Aleph, 2007 Jan 01(7), 97-181.
Externí odkaz:
https://www.jstor.org/stable/40377863