Misha Denil

According to our database1, Misha Denil authored at least 35 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
Hyperbolic Attention Networks.
CoRR, 2018

Learning Awareness Models.
CoRR, 2018

2017
Learned Optimizers that Scale and Generalize.
CoRR, 2017

Programmable Agents.
CoRR, 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
CoRR, 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

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
Learning to Navigate in Complex Environments.
CoRR, 2016

Noisy Activation Functions.
CoRR, 2016

Learning to Perform Physics Experiments via Deep Reinforcement Learning.
CoRR, 2016

Learning to Learn for Global Optimization of Black Box Functions.
CoRR, 2016

Learning to learn by gradient descent by gradient descent.
CoRR, 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
ACDC: A Structured Efficient Linear Layer.
CoRR, 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
Deep Fried Convnets.
CoRR, 2014

Deep Multi-Instance Transfer Learning.
CoRR, 2014

Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network.
CoRR, 2014

Extraction of Salient Sentences from Labelled Documents.
CoRR, 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.
CoRR, 2013

Narrowing the Gap: Random Forests In Theory and In Practice.
CoRR, 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

Recklessly Approximate Sparse Coding
CoRR, 2012

2011
Learning where to Attend with Deep Architectures for Image Tracking
CoRR, 2011

A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier
CoRR, 2011

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


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