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Found 5 papers, 1 papers with code
FedSSC: Shared Supervised-Contrastive Federated Learning
We propose Supervised Contrastive Federated Learning in which devices can share the learned class-wise feature spaces with each other and add the supervised-contrastive learning loss as a regularization term to foster the feature space learning.
What GPT Knows About Who is Who
Coreference resolution -- which is a crucial task for understanding discourse and language at large -- has yet to witness widespread benefits from large language models (LLMs).
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection
We propose the first Chinese sexism dataset -- Sina Weibo Sexism Review (SWSR) dataset --, as well as a large Chinese lexicon SexHateLex made of abusive and gender-related terms.
Cuid: A new study of perceived image quality and its subjective assessment
It is thus critical to acquire reliable subjective data with controlled perception experiments that faithfully reflect human behavioural responses to distortions in visual signals.
A Concert-planning Tool for Independent Musicians by Machine Learning Models
Our project aims at helping independent musicians to plan their concerts based on the economies of agglomeration in the music industry.
