NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (23)

cs.AI2017

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

Serkan Cabi, Sergio Gómez Colmenarejo, Matthew W. Hoffman +3

cs.LG2013

Recklessly Approximate Sparse Coding

Misha Denil, Nando de Freitas

cs.AI2011

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

Misha Denil, Thomas Trappenberg

cs.LG2014

Deep Multi-Instance Transfer Learning

Dimitrios Kotzias, Misha Denil, Phil Blunsom +1

stat.ML2014

Linear and Parallel Learning of Markov Random Fields

Yariv Dror Mizrahi, Misha Denil, Nando de Freitas

stat.ML2013

Narrowing the Gap: Random Forests In Theory and In Practice

Misha Denil, David Matheson, Nando de Freitas

cs.LG2015

Deep Fried Convnets

Zichao Yang, Marcin Moczulski, Misha Denil +4

cs.LG2016

Noisy Activation Functions

Caglar Gulcehre, Marcin Moczulski, Misha Denil +1

stat.ML2017

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3

cs.NE2016

Learning to learn by gradient descent by gradient descent

Marcin Andrychowicz, Misha Denil, Sergio Gomez +5

cs.CL2014

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

Misha Denil, Alban Demiraj, Nal Kalchbrenner +2

cs.CL2015

Extraction of Salient Sentences from Labelled Documents

Misha Denil, Alban Demiraj, Nando de Freitas

cs.LG2014

Predicting Parameters in Deep Learning

Misha Denil, Babak Shakibi, Laurent Dinh +2

stat.ML2017

Learning to Learn without Gradient Descent by Gradient Descent

Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo +4

cs.AI2018

Learning Awareness Models

Brandon Amos, Laurent Dinh, Serkan Cabi +7

cs.LG2017

Learned Optimizers that Scale and Generalize

Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4

cs.AI2017

Programmable Agents

Misha Denil, Sergio Gómez Colmenarejo, Serkan Cabi +2

cs.NE2018

Hyperbolic Attention Networks

Caglar Gulcehre, Misha Denil, Mateusz Malinowski +8

stat.ML2014

Distributed Parameter Estimation in Probabilistic Graphical Models

Yariv Dror Mizrahi, Misha Denil, Nando de Freitas

cs.AI2011

Learning where to Attend with Deep Architectures for Image Tracking

Misha Denil, Loris Bazzani, Hugo Larochelle +1

cs.AI2017

Learning to Navigate in Complex Environments

Piotr Mirowski, Razvan Pascanu, Fabio Viola +9

stat.ML2013

Consistency of Online Random Forests

Misha Denil, David Matheson, Nando de Freitas

cs.LG2016

ACDC: A Structured Efficient Linear Layer

Marcin Moczulski, Misha Denil, Jeremy Appleyard +1