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Toward Real-time Assessment of Workload: A Bayesian Inference Approach

Autor: Yifan Wang, Ruikun Luo, Victor Paul, Jeffrey L. Stein, Mark Brudnak, Yifan Weng, Paramsothy Jayakumar, Matthew P. Reed, X. Jessie Yang, Tulga Ersal

Publikováno v: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63:196-200

Workload management is of critical concern in teleoperation of unmanned vehicles, because high workload can lead to sub-optimal task performance and can harm human operators’ long-term well-being. In the present study, we conducted a human-in-the-l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2d9a4a18fe032de14b148268266d728
https://doi.org/10.1177/1071181319631293

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Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene

Autor: Guanhuan Huang, Xiaojun Quan, Ruikun Luo

Publikováno v: ACL/IJCNLP (Findings)

The major paradigm of applying a pre-trained language model to downstream tasks is to fine-tune it on labeled task data, which often suffers instability and low performance when the labeled examples are scarce.~One way to alleviate this problem is to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de72811421f2a927e0ec67b78bb19796
http://arxiv.org/abs/2106.02327

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