Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity Chaoqi Chen 1 Luyao T ang 2 Hui Huang 1 1 College of Computer Science and Software Engineering, Shenzhen University
–Neural Information Processing Systems
Since deep learning models are usually deployed in non-stationary environments, it is imperative to improve their robustness to out-of-distribution (OOD) data.
Neural Information Processing Systems
Oct-10-2025, 19:30:31 GMT
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