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Papers
Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure
EACL 2026
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
WACV 2026
ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
WACV 2026
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
AAAI 2026
Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice
AAAI 2026