Weight Decay Scheduling and Knowledge Distillation for Active Learning

no code implementations • ECCV 2020 • Juseung Yun, Byungjoo Kim, Junmo Kim

Active learning is a technique that can reduce the labeling required.

Active Learning Knowledge Distillation +1

Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods

1 code implementation • ECCV 2020 • Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim

Motivated by the SSP property and a generalized Runge-Kutta method, we propose Strong Stability Preserving networks (SSP networks) which improve robustness against adversarial attacks.