1 citations · 3 across the 6 of their papers we have counts for
6 papers
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song, Zhiquan Tan, Bochao Zou +3
In this paper, we introduce matrix entropy as an analytical tool for studying supervised learning, investigating the information content of data representations and classification…
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song, Zhiquan Tan, Bochao Zou +2
In this paper, we use matrix information theory as an analytical tool to analyze the dynamics of the information interplay between data representations and classification head vect…
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song, Huimin Ma, Bochao Zou +2
Due to the limited availability of data, existing few-shot learning methods trained from scratch fail to achieve satisfactory performance. In contrast, large-scale pre-trained mode…
Self-Supervised Multi-Modal Sequential Recommendation
Kunzhe Song, Qingfeng Sun, Can Xu +2
With the increasing development of e-commerce and online services, personalized recommendation systems have become crucial for enhancing user satisfaction and driving business reve…
Gestalt-Guided Image Understanding for Few-Shot Learning
Kun Song, Yuchen Wu, Jiansheng Chen +2
Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few…
Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval
Yuchen Wu, Kun Song, Fangzheng Zhao +2
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a challenging cross-modal retrieval task. In prior arts, the retrieval is conducted by sorting the distance between the query sk…