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Found 4 papers, 1 papers with code
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges
While there have been extensive studies on optimization characteristics showing the global optimality of neural collapse, little research has been done on the generalization behaviors during the occurrence of NC.
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization
Out of curiosity about the symmetry of Grassmannian Frame, we conduct experiments to explore if models with different Grassmannian Frames have different performance.
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
Finally, experimental results support the effectiveness of the proposed framework in terms of both mural synthesis and restoration.
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
sample size and a slow convergence rate, especially for TPAUC.
