David Warde-Farley

According to our database1, David Warde-Farley authored at least 23 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Fast Task Inference with Variational Intrinsic Successor Features.
CoRR, 2019

Unsupervised Control Through Non-Parametric Discriminative Rewards.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Unsupervised Control Through Non-Parametric Discriminative Rewards.
CoRR, 2018

2017
Brain tumor segmentation with Deep Neural Networks.
Medical Image Analysis, 2017

Variational Approaches for Auto-Encoding Generative Adversarial Networks.
CoRR, 2017

Improving Generative Adversarial Networks with Denoising Feature Matching.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2015
Self-informed neural network structure learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Blocks and Fuel: Frameworks for deep learning.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

Brain Tumor Segmentation with Deep Neural Networks.
CoRR, 2015

2014
An empirical analysis of dropout in piecewise linear networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Generative Adversarial Networks.
CoRR, 2014

Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Maxout Networks
CoRR, 2013

Pylearn2: a machine learning research library.
CoRR, 2013

Maxout Networks.
Proceedings of the 30th International Conference on Machine Learning, 2013


2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Theano: new features and speed improvements
CoRR, 2012

Mixture Model for Sub-Phenotyping in GWAS.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2010
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
Nucleic Acids Research, 2010


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