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pro vyhledávání: '"Li, Fengyu"'
The Monte Carlo algorithm is increasingly utilized, with its central step involving computer-based random sampling from stochastic models. While both Markov Chain Monte Carlo (MCMC) and Reject Monte Carlo serve as sampling methods, the latter finds f
Externí odkaz:
http://arxiv.org/abs/2402.17096
Advances in the field of vision-language contrastive learning have made it possible for many downstream applications to be carried out efficiently and accurately by simply taking the dot product between image and text representations. One of the most
Externí odkaz:
http://arxiv.org/abs/2302.11084
Autor:
Li, Fengyu, Dean, Sarah
Datasets for training recommender systems are often subject to distribution shift induced by users' and recommenders' selection biases. In this paper, we study the impact of selection bias on datasets with different quantization. We then leverage two
Externí odkaz:
http://arxiv.org/abs/2212.13892
Publikováno v:
In Future Generation Computer Systems October 2024 159:533-544
Publikováno v:
In The Innovation 9 September 2024 5(5)
Publikováno v:
In Surfaces and Interfaces August 2024 51
Publikováno v:
In Microchemical Journal June 2024 201
Publikováno v:
In Knowledge-Based Systems 8 April 2024 289
Publikováno v:
In International Journal of Hydrogen Energy 29 February 2024 57:575-582
Akademický článek
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