Jeffrey Pennington

According to our database1, Jeffrey Pennington authored at least 14 papers between 2011 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Sensitivity and Generalization in Neural Networks: an Empirical Study.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Neural Networks as Gaussian Processes.
Proceedings of the 6th International Conference on Learning Representations, 2018

The emergence of spectral universality in deep networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Nonlinear random matrix theory for deep learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Geometry of Neural Network Loss Surfaces via Random Matrix Theory.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Clinical Data Research Network Lessons Learned.
Proceedings of the Summit on Clinical Research Informatics, 2016

2015
Spherical Random Features for Polynomial Kernels.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Glove: Global Vectors for Word Representation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011


  Loading...