43 citations · 48 across the 7 of their papers we have counts for
7 papers
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
Fanshuang Kong, Richong Zhang, Ziqiao Wang
Hierarchical text classification (HTC) aims to assign one or more labels in the hierarchy for each text. Many methods represent this structure as a global hierarchy, leading to red…
Generalization Bounds via Conditional -Information
Ziqiao Wang, Yongyi Mao
In this work, we introduce novel information-theoretic generalization bounds using the conditional -information framework, an extension of the traditional conditional mutual inf…
Activated Parameter Locating via Causal Intervention for Model Merging
Fanshuang Kong, Richong Zhang, Ziqiao Wang
Model merging combines multiple homologous models into one model, achieving convincing generalization without the necessity of additional training. A key challenge in this problem…
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
Hailang Huang, Zhijie Nie, Ziqiao Wang +1
Current image-text retrieval methods have demonstrated impressive performance in recent years. However, they still face two problems: the inter-modal matching missing problem and t…
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
Ziqiao Wang, Yongyi Mao
We present new information-theoretic generalization guarantees through the a novel construction of the "neighboring-hypothesis" matrix and a new family of stability notions termed…
Over-training with Mixup May Hurt Generalization
Zixuan Liu, Ziqiao Wang, Hongyu Guo +1
Mixup, which creates synthetic training instances by linearly interpolating random sample pairs, is a simple and yet effective regularization technique to boost the performance of…