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pro vyhledávání: '"Benoit, Harold"'
Autor:
Yeo, Teresa, Atanov, Andrei, Benoit, Harold, Alekseev, Aleksandr, Ray, Ruchira, Akhoondi, Pooya Esmaeil, Zamir, Amir
In this work, we present a method to control a text-to-image generative model to produce training data specifically "useful" for supervised learning. Unlike previous works that employ an open-loop approach and pre-define prompts to generate new data
Externí odkaz:
http://arxiv.org/abs/2403.15309
Autor:
Benoit, Harold, Jiang, Liangze, Atanov, Andrei, Kar, Oğuzhan Fatih, Rigotti, Mattia, Zamir, Amir
Supervised learning datasets may contain multiple cues that explain the training set equally well, i.e., learning any of them would lead to the correct predictions on the training data. However, many of them can be spurious, i.e., lose their predicti
Externí odkaz:
http://arxiv.org/abs/2312.16313
The plethora of blockchain proposals raises the question of selecting the ideal blockchain for a given decentralised application (DApp). Most blockchain performance evaluations are obtained through tailored environments under unknown experimental set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::3a01a25737ced92fb0ddc77909e1d03b
https://infoscience.epfl.ch/record/285731
https://infoscience.epfl.ch/record/285731