Koray Kavukcuoglu

According to our database1, Koray Kavukcuoglu authored at least 84 papers between 2009 and 2018.

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Bibliography

2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR, 2018

Learning to Navigate in Cities Without a Map.
CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.
CoRR, 2018

Efficient Neural Audio Synthesis.
CoRR, 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
CoRR, 2018


Efficient Neural Audio Synthesis.
Proceedings of the 35th International Conference on Machine Learning, 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis.
CoRR, 2017

Population Based Training of Neural Networks.
CoRR, 2017

Neural Discrete Representation Learning.
CoRR, 2017

Hierarchical Representations for Efficient Architecture Search.
CoRR, 2017

FeUdal Networks for Hierarchical Reinforcement Learning.
CoRR, 2017

Automated Curriculum Learning for Neural Networks.
CoRR, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.
CoRR, 2017

Neural Discrete Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

FeUdal Networks for Hierarchical Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Video Pixel Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Decoupled Neural Interfaces using Synthetic Gradients.
Proceedings of the 34th International Conference on Machine Learning, 2017

Automated Curriculum Learning for Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Mastering the game of Go with deep neural networks and tree search.
Nature, 2016

Hybrid computing using a neural network with dynamic external memory.
Nature, 2016

Sample Efficient Actor-Critic with Experience Replay.
CoRR, 2016

Matching Networks for One Shot Learning.
CoRR, 2016

Strategic Attentive Writer for Learning Macro-Actions.
CoRR, 2016

Progressive Neural Networks.
CoRR, 2016

Conditional Image Generation with PixelCNN Decoders.
CoRR, 2016

Pixel Recurrent Neural Networks.
CoRR, 2016

WaveNet: A Generative Model for Raw Audio.
CoRR, 2016

PGQ: Combining policy gradient and Q-learning.
CoRR, 2016

Asynchronous Methods for Deep Reinforcement Learning.
CoRR, 2016

Learning to Navigate in Complex Environments.
CoRR, 2016

Video Pixel Networks.
CoRR, 2016

Neural Machine Translation in Linear Time.
CoRR, 2016

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
CoRR, 2016

Reinforcement Learning with Unsupervised Auxiliary Tasks.
CoRR, 2016

Decoupled Neural Interfaces using Synthetic Gradients.
CoRR, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
CoRR, 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks.
CoRR, 2016

Interaction Networks for Learning about Objects, Relations and Physics.
CoRR, 2016

WaveNet: A Generative Model for Raw Audio.
Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

Matching Networks for One Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Strategic Attentive Writer for Learning Macro-Actions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Conditional Image Generation with PixelCNN Decoders.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Interaction Networks for Learning about Objects, Relations and Physics.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Pixel Recurrent Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Asynchronous Methods for Deep Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Human-level control through deep reinforcement learning.
Nature, 2015

Policy Distillation.
CoRR, 2015

Massively Parallel Methods for Deep Reinforcement Learning.
CoRR, 2015

Spatial Transformer Networks.
CoRR, 2015

Natural Neural Networks.
CoRR, 2015

Weight Uncertainty in Neural Networks.
CoRR, 2015

Spatial Transformer Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Natural Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Weight Uncertainty in Neural Network.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Recurrent Models of Visual Attention.
CoRR, 2014

Multiple Object Recognition with Visual Attention.
CoRR, 2014

Unsupervised Feature Learning by Deep Sparse Coding.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Recurrent Models of Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Playing Atari with Deep Reinforcement Learning.
CoRR, 2013

Unsupervised Feature Learning by Deep Sparse Coding.
CoRR, 2013

Learning word embeddings efficiently with noise-contrastive estimation.
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

Pedestrian Detection with Unsupervised Multi-stage Feature Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Implementing Neural Networks Efficiently.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
CoRR, 2012

Learning the Dependency Structure of Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Binary Classification Framework for Two-Stage Multiple Kernel Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Natural Language Processing (Almost) from Scratch.
Journal of Machine Learning Research, 2011

Natural Language Processing (almost) from Scratch
CoRR, 2011

Unsupervised Learning of Sparse Features for Scalable Audio Classification.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2010
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
CoRR, 2010

Convolutional Matching Pursuit and Dictionary Training
CoRR, 2010

Learning Convolutional Feature Hierarchies for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Convolutional networks and applications in vision.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

2009
Learning long-range vision for autonomous off-road driving.
J. Field Robotics, 2009

EBLearn: Open-Source Energy-Based Learning in C++.
Proceedings of the ICTAI 2009, 2009

Semi-Supervised Sequence Labeling with Self-Learned Features.
Proceedings of the ICDM 2009, 2009

What is the best multi-stage architecture for object recognition?
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Learning invariant features through topographic filter maps.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Combining labeled and unlabeled data with word-class distribution learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009


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