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Found 4 papers, 3 papers with code
A Risk Communication Event Detection Model via Contrastive Learning
This paper presents a time-topic cohesive model describing the communication patterns on the coronavirus pandemic from three Asian countries.
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
Unsupervised image classification is a challenging computer vision task.
Ranked #1 on
Image Clustering
on STL-10
(Backbone metric, using extra
training data)
Improving Unsupervised Image Clustering With Robust Learning
Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results.
Ranked #1 on
Image Clustering
on CIFAR-100
(Train Set metric, using extra
training data)
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter
This finding calls for a need to analyze the public discourse by new measures, such as topical dynamics.
Social and Information Networks
