Reviews: Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis

Neural Information Processing Systems 

This paper provides an analysis on dynamics of online learning of two-layer neural networks under the teacher-student scenario. The analysis extends that by Saad and Solla (1995) by considering a covariance matrix of the input which may not be proportional to the identity matrix. The main contribution of this paper is the finding that the plateau phenomenon observed in learning dynamics of nonlinear neural networks depends on statistics of input data. The three reviewers rated this paper above the acceptance threshold, mentioning originality and importance of the contribution of this paper. At the same time, two reviewers raised concern about clarity of presentation.