From the 1 of 5 linked papers with an AI index.
5 papers
Variational Inference for Evidential Deep Learning
Jiawei Tang, Xinyan Du, Hui Liu +2
The paper introduces VI-EDL, a variational inference framework for evidential deep learning that controls evidence growth and provides theoretical guarantees for uncertainty estima…
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
Yaxin Hou, Jun Ma, Hanyang Li +3
Semi-supervised learning faces significant challenges in realistic scenarios where labeled data is scarce and unlabeled data follows unknown, arbitrary distributions. We formalize…
Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers
Jun Ma, Xu Zhang, Zhengxing Jiao +4
Language-Assisted Image Clustering (LAIC) augments the input images with additional texts with the help of vision-language models (VLMs) to promote clustering performance. Despite…
Attribute Distribution Modeling and Semantic-Visual Alignment for Generative Zero-shot Learning
Haojie Pu, Zhuoming Li, Yongbiao Gao +1
Generative zero-shot learning (ZSL) synthesizes features for unseen classes, leveraging semantic conditions to transfer knowledge from seen classes. However, it also introduces two…
Partial Label Clustering
Yutong Xie, Fuchao Yang, Yuheng Jia
Partial label learning (PLL) is a significant weakly supervised learning framework, where each training example corresponds to a set of candidate labels and only one label is the g…