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cs.CV2026
Interpretable and Sparse Linear Attention with Decoupled Membership-Subspace Modeling via MCR2 Objective
Tianyuan Liu, Libin Hou, Linyuan Wang +1
Maximal Coding Rate Reduction (MCR2)-driven white-box transformer, grounded in structured representation learning, unifies interpretability and efficiency, providing a reliable whi…
cs.CV2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design
Liu Tianyuan, Hou Libin, Wang Linyuan +2
Dense Convolutional Network has been continuously refined to adopt a highly efficient and compact architecture, owing to its lightweight and efficient structure. However, the curre…