Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

• Published in: arXiv.org
• Main Authors: Chen, Zhe, Wang, Yuyan, Lin, Dong, Derek Zhiyuan Cheng, Hong, Lichan, Chi, Ed H, Cui, Claire
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 17.08.2020
• Subjects: Activation; Artificial neural networks; Benchmarks; Buckets; Machine learning; Randomness; Recommender systems; Training

Despite deep neural network (DNN)'s impressive prediction performance in various domains, it is well known now that a set of DNN models trained with the same model specification and the same data can produce very different prediction results. Ensemble method is one state-of-the-art benchmark fo...