Misha Denil

According to our database1, Misha Denil authored at least 19 papers between 2010 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
Learning Awareness Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Learned Optimizers that Scale and Generalize.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Learn without Gradient Descent by Gradient Descent.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Navigate in Complex Environments.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Perform Physics Experiments via Deep Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
ACDC: A Structured Efficient Linear Layer.
Proceedings of the 4th International Conference on Learning Representations, 2016

Learning to learn by gradient descent by gradient descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Noisy Activation Functions.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
From Group to Individual Labels Using Deep Features.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Deep Fried Convnets.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Deep Apprenticeship Learning for Playing Video Games.
Proceedings of the Learning for General Competency in Video Games, 2015

2014
Distributed Parameter Estimation in Probabilistic Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Linear and Parallel Learning of Markov Random Fields.
Proceedings of the 31th International Conference on Machine Learning, 2014

Narrowing the Gap: Random Forests In Theory and In Practice.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Predicting Parameters in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Consistency of Online Random Forests.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Learning Where to Attend with Deep Architectures for Image Tracking.
Neural Computation, 2012

2010
Overlap versus Imbalance.
Proceedings of the Advances in Artificial Intelligence, 2010


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