OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution

no code implementations • 6 Dec 2023 • Weitang Liu, Ying Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang

We propose a novel model-centric evaluation framework, OmniInput, to evaluate the quality of an AI/ML model's predictions on all possible inputs (including human-unrecognizable ones), which is crucial for AI safety and reliability.

A scalable constructive algorithm for the optimization of neural network architectures

no code implementations • 7 Sep 2019 • Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach

We propose a new scalable method to optimize the architecture of an artificial neural network.

Hyperparameter Optimization