Zobrazeno 1 - 10
of 371
pro vyhledávání: '"Yu, Guangwei"'
Advances in deep generative modelling have not translated well to tabular data. We argue that this is caused by a mismatch in structure between popular generative models and discriminative models of tabular data. We thus devise a technique to turn Ta
Externí odkaz:
http://arxiv.org/abs/2406.05216
Autor:
Thomas, Valentin, Ma, Junwei, Hosseinzadeh, Rasa, Golestan, Keyvan, Yu, Guangwei, Volkovs, Maksims, Caterini, Anthony
Tabular data is a pervasive modality spanning a wide range of domains, and the inherent diversity poses a considerable challenge for deep learning. Recent advancements using transformer-based in-context learning have shown promise on smaller and less
Externí odkaz:
http://arxiv.org/abs/2406.05207
Foundation models have revolutionized tasks in computer vision and natural language processing. However, in the realm of tabular data, tree-based models like XGBoost continue to dominate. TabPFN, a transformer model tailored for tabular data, mirrors
Externí odkaz:
http://arxiv.org/abs/2402.06971
Autor:
Vouitsis, Noël, Liu, Zhaoyan, Gorti, Satya Krishna, Villecroze, Valentin, Cresswell, Jesse C., Yu, Guangwei, Loaiza-Ganem, Gabriel, Volkovs, Maksims
The goal of multimodal alignment is to learn a single latent space that is shared between multimodal inputs. The most powerful models in this space have been trained using massive datasets of paired inputs and large-scale computational resources, mak
Externí odkaz:
http://arxiv.org/abs/2312.10144
Bearing fault identification and analysis is an important research area in the field of machinery fault diagnosis. Aiming at the common faults of rolling bearings, we propose a data-driven diagnostic algorithm based on the characteristics of bearing
Externí odkaz:
http://arxiv.org/abs/2203.15275
Autor:
Gorti, Satya Krishna, Vouitsis, Noel, Ma, Junwei, Golestan, Keyvan, Volkovs, Maksims, Garg, Animesh, Yu, Guangwei
In text-video retrieval, the objective is to learn a cross-modal similarity function between a text and a video that ranks relevant text-video pairs higher than irrelevant pairs. However, videos inherently express a much wider gamut of information th
Externí odkaz:
http://arxiv.org/abs/2203.15086
Publikováno v:
In Environmental Research 15 September 2024 257
Autor:
Zhang, Shengrui, Wang, Ao, Li, Luyao, Liang, Ziyang, Huang, Kongrong, Ye, Qingqi, Deng, Guangkang, Yang, Ying, Li, Peiling, Yu, Guangwei, Liang, Yuhai
Publikováno v:
In Bioresource Technology September 2024 407
Publikováno v:
In Science of the Total Environment 1 October 2024 945
Autor:
Zhang, Yongchun, Liang, Ziyang, Li, Peiling, Lai, Jiangtian, Kang, Peilun, Huang, Rong, Liang, Yuhai, Yu, Guangwei
Publikováno v:
In Science of the Total Environment 20 May 2024 926