David Krueger

According to our database1, David Krueger authored at least 14 papers between 2014 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
Uncertainty in Multitask Transfer Learning.
CoRR, 2018

Neural Autoregressive Flows.
CoRR, 2018

Nested LSTMs.
CoRR, 2018

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

2017
Deep Prior.
CoRR, 2017

Bayesian Hypernetworks.
CoRR, 2017

A Closer Look at Memorization in Deep Networks.
CoRR, 2017

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

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

2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.
CoRR, 2016

2015
Regularizing RNNs by Stabilizing Activations.
CoRR, 2015

Testing Visual Attention in Dynamic Environments.
CoRR, 2015

2014
Zero-bias autoencoders and the benefits of co-adapting features.
CoRR, 2014

NICE: Non-linear Independent Components Estimation.
CoRR, 2014


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