George E. Dahl

According to our database1, George E. Dahl authored at least 29 papers between 2010 and 2018.

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Bibliography

2018
The Importance of Generation Order in Language Modeling.
CoRR, 2018

Motivating the Rules of the Game for Adversarial Example Research.
CoRR, 2018

Embedding Text in Hyperbolic Spaces.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Parallel Architecture and Hyperparameter Search via Successive Halving and Classification.
CoRR, 2018

Large scale distributed neural network training through online distillation.
CoRR, 2018

Embedding Text in Hyperbolic Spaces.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

The Importance of Generation Order in Language Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Detecting Cancer Metastases on Gigapixel Pathology Images.
CoRR, 2017

Neural Message Passing for Quantum Chemistry.
CoRR, 2017

Neural Message Passing for Quantum Chemistry.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Deep Convolutional Neural Networks for Large-scale Speech Tasks.
Neural Networks, 2015

Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships.
Journal of Chemical Information and Modeling, 2015

2014
Multi-task Neural Networks for QSAR Predictions.
CoRR, 2014

Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes.
CoRR, 2014

2013
Improvements to deep convolutional neural networks for LVCSR.
CoRR, 2013

On the importance of initialization and momentum in deep learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Improving deep neural networks for LVCSR using rectified linear units and dropout.
Proceedings of the IEEE International Conference on Acoustics, 2013

Large-scale malware classification using random projections and neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Improvements to Deep Convolutional Neural Networks for LVCSR.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Acoustic Modeling Using Deep Belief Networks.
IEEE Trans. Audio, Speech & Language Processing, 2012

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition.
IEEE Trans. Audio, Speech & Language Processing, 2012

Training Restricted Boltzmann Machines on Word Observations
CoRR, 2012

Training Restricted Boltzmann Machines on Word Observations.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Deep Belief Networks using discriminative features for phone recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Large vocabulary continuous speech recognition with context-dependent DBN-HMMS.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
CoRR, 2010

Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes.
Proceedings of the UAI 2010, 2010

Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010


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