most citedMixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Deployment Prior Injection for Run-time Calibratable Object Detection

Mo Zhou, Yiding Yang, Haoxiang Li +2

With a strong alignment between the training and test distributions, object relation as a context prior facilitates object detection. Yet, it turns into a harmful but inevitable tr…

cs.LG2024★ 1 cited

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers

Yatong Bai, Mo Zhou, Vishal M. Patel +1

Adversarial robustness often comes at the cost of degraded accuracy, impeding real-life applications of robust classification models. Training-based solutions for better trade-offs…