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pro vyhledávání: '"WSL"'
A novel class of advanced algorithms, termed Goal-Conditioned Weighted Supervised Learning (GCWSL), has recently emerged to tackle the challenges posed by sparse rewards in goal-conditioned reinforcement learning (RL). GCWSL consistently delivers str
Externí odkaz:
http://arxiv.org/abs/2410.06648
Autor:
Stuart Leeks
A practical handbook that will help you bridge the gap between Windows and Linux to develop apps that leverage the best features across both ecosystems with seamless interoperabilityKey FeaturesConfigure and control WSL to suit your needs and prefere
Akademický článek
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Akademický článek
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Autor:
Hemmink, Johanneke D.1 (AUTHOR) h.hemmink@cgiar.org, Abkallo, Hussein M.1 (AUTHOR), Henson, Sonal P.1 (AUTHOR), Khazalwa, Emmanuel M.1 (AUTHOR), Oduor, Bernard1 (AUTHOR), Lacasta, Anna1 (AUTHOR), Okoth, Edward1 (AUTHOR), Riitho, Victor1 (AUTHOR), Fuchs, Walter2 (AUTHOR), Bishop, Richard P.3 (AUTHOR), Steinaa, Lucilla1 (AUTHOR) h.hemmink@cgiar.org
Publikováno v:
Viruses (1999-4915). Sep2022, Vol. 14 Issue 9, p1912-N.PAG. 12p.
Publikováno v:
Land, Vol 13, Iss 8, p 1255 (2024)
The surrounding environment of architectural heritage sites is integral to cultural heritage protection; plant landscapes play crucial roles in them. Controlling plant spaces and appearances is essential for preserving plant landscapes. A World Cultu
Externí odkaz:
https://doaj.org/article/844edaf5b5004e6e81633dda86b0d119
In the Query Focused Multi-Document Summarization (QF-MDS) task, a set of documents and a query are given where the goal is to generate a summary from these documents based on the given query. However, one major challenge for this task is the lack of
Externí odkaz:
http://arxiv.org/abs/2011.01421
Autor:
Orhan, A. Emin
We investigate the robustness properties of ResNeXt class image recognition models trained with billion scale weakly supervised data (ResNeXt WSL models). These models, recently made public by Facebook AI, were trained with ~1B images from Instagram
Externí odkaz:
http://arxiv.org/abs/1907.07640