David Krueger

According to our database1, David Krueger authored at least 8 papers between 2015 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Neural Autoregressive Flows.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
A Closer Look at Memorization in Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.
Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Nets Don't Learn via Memorization.
Proceedings of the 5th International Conference on Learning Representations, 2017

Nested LSTMs.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Regularizing RNNs by Stabilizing Activations.
Proceedings of the 4th International Conference on Learning Representations, 2016

2015
Zero-bias autoencoders and the benefits of co-adapting features.
Proceedings of the 3rd International Conference on Learning Representations, 2015

NICE: Non-linear Independent Components Estimation.
Proceedings of the 3rd International Conference on Learning Representations, 2015


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