Understanding Dynamics of Nonlinear Representation Learning and Its Application

Gradient Descent with Identity Initialization Efficiently Learns Positive-definite Linear Transformations by Deep Residual Networks

(2019) Peter L. Bartlett et al.   NEURAL COMPUTATION

Global Continuous Optimization with Error Bound and Fast Convergence

(2016) Kenji Kawaguchi et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Acoustic Modeling Using Deep Belief Networks

(2011) Abdel-rahman Mohamed et al.   IEEE Transactions on Audio Speech and Language Processing

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing