3 papers
cs.LG2026
Data Complexity-aware Deep Model Performance Forecasting
Yen-Chia Chen, Hsing-Kuo Pao, Hanjuan Huang
Deep learning models are widely used across computer vision and other domains. When working on the model induction, selecting the right architecture for a given dataset often relie…
cs.CL2025
BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices
Euhid Aman, Esteban Carlin, Hsing-Kuo Pao +3
Cross-attention transformers and other multimodal vision-language models excel at grounding and generation; however, their extensive, full-precision backbones make it challenging t…
cs.DM2024
The -Curve as an -Dimensional Hypersphere: Properties and Analysis
Diego Vazquez Gonzalez, Hsing-Kuo Pao
In this research, we introduce an algorithm that produces what appears to be a new mathematical object as a consequence of projecting the \( n \)-dimensional \( Z \)-curve onto an…