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Semantic ScholarKoray Kavukcuoglu
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2010 – today
- 2018
[c36]Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu:
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. ICML 2018: 1406-1415- [c35]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. ICML 2018: 2415-2424 - [c34]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 2018: 3915-3923 - [c33]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. NeurIPS 2018: 2424-2435 - [i43]Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu:
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. CoRR abs/1802.01561 (2018) - [i42]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. CoRR abs/1802.08435 (2018) - [i41]Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew Botvinick, Demis Hassabis, Timothy P. Lillicrap:
Unsupervised Predictive Memory in a Goal-Directed Agent. CoRR abs/1803.10760 (2018) - [i40]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. CoRR abs/1804.00168 (2018) - [i39]Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel:
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR abs/1807.01281 (2018) - 2017
- [c32]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML 2017: 904-912 - [c31]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. ICML 2017: 1311-1320 - [c30]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. ICML 2017: 1627-1635 - [c29]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. ICML 2017: 1771-1779 - [c28]Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu:
FeUdal Networks for Hierarchical Reinforcement Learning. ICML 2017: 3540-3549 - [c27]Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu:
Neural Discrete Representation Learning. NIPS 2017: 6309-6318 - [i38]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR abs/1703.00522 (2017) - [i37]Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu:
FeUdal Networks for Hierarchical Reinforcement Learning. CoRR abs/1703.01161 (2017) - [i36]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. CoRR abs/1704.03003 (2017) - [i35]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. CoRR abs/1711.00436 (2017) - [i34]Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu:
Neural Discrete Representation Learning. CoRR abs/1711.00937 (2017) - [i33]Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu:
Population Based Training of Neural Networks. CoRR abs/1711.09846 (2017) - [i32]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR abs/1711.10433 (2017) - 2016
- [j5]David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy P. Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis:
Mastering the game of Go with deep neural networks and tree search. Nature 529(7587): 484-489 (2016) - [j4]Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis:
Hybrid computing using a neural network with dynamic external memory. Nature 538(7626): 471-476 (2016) - [c26]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. ICML 2016: 1747-1756 - [c25]Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu:
Exploiting Cyclic Symmetry in Convolutional Neural Networks. ICML 2016: 1889-1898 - [c24]Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu:
Asynchronous Methods for Deep Reinforcement Learning. ICML 2016: 1928-1937 - [c23]S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton:
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. NIPS 2016: 3225-3233 - [c22]Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John Agapiou, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. NIPS 2016: 3486-3494 - [c21]Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra:
Matching Networks for One Shot Learning. NIPS 2016: 3630-3638 - [c20]Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu:
Interaction Networks for Learning about Objects, Relations and Physics. NIPS 2016: 4502-4510 - [c19]Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves:
Conditional Image Generation with PixelCNN Decoders. NIPS 2016: 4790-4798 - [c18]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. SSW 2016: 125 - [i31]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. CoRR abs/1601.06759 (2016) - [i30]Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu:
Asynchronous Methods for Deep Reinforcement Learning. CoRR abs/1602.01783 (2016) - [i29]Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu:
Exploiting Cyclic Symmetry in Convolutional Neural Networks. CoRR abs/1602.02660 (2016) - [i28]S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, Koray Kavukcuoglu, Geoffrey E. Hinton:
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. CoRR abs/1603.08575 (2016) - [i27]Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun:
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR abs/1606.01535 (2016) - [i26]Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, Daan Wierstra:
Matching Networks for One Shot Learning. CoRR abs/1606.04080 (2016) - [i25]Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell:
Progressive Neural Networks. CoRR abs/1606.04671 (2016) - [i24]Alexander Vezhnevets, Volodymyr Mnih, John Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. CoRR abs/1606.04695 (2016) - [i23]Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu:
Conditional Image Generation with PixelCNN Decoders. CoRR abs/1606.05328 (2016) - [i22]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. CoRR abs/1608.05343 (2016) - [i21]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. CoRR abs/1609.03499 (2016) - [i20]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. CoRR abs/1610.00527 (2016) - [i19]Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu:
Neural Machine Translation in Linear Time. CoRR abs/1610.10099 (2016) - [i18]Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas:
Sample Efficient Actor-Critic with Experience Replay. CoRR abs/1611.01224 (2016) - [i17]Brendan O'Donoghue, Rémi Munos, Koray Kavukcuoglu, Volodymyr Mnih:
PGQ: Combining policy gradient and Q-learning. CoRR abs/1611.01626 (2016) - [i16]Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell:
Learning to Navigate in Complex Environments. CoRR abs/1611.03673 (2016) - [i15]Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu:
Reinforcement Learning with Unsupervised Auxiliary Tasks. CoRR abs/1611.05397 (2016) - [i14]Peter W. Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, Koray Kavukcuoglu:
Interaction Networks for Learning about Objects, Relations and Physics. CoRR abs/1612.00222 (2016) - 2015
- [j3]Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin A. Riedmiller, Andreas Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis:
Human-level control through deep reinforcement learning. Nature 518(7540): 529-533 (2015) - [c17]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Network. ICML 2015: 1613-1622 - [c16]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. NIPS 2015: 2017-2025 - [c15]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. NIPS 2015: 2071-2079 - [i13]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Networks. CoRR abs/1505.05424 (2015) - [i12]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. CoRR abs/1506.02025 (2015) - [i11]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. CoRR abs/1507.00210 (2015) - [i10]Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver:
Massively Parallel Methods for Deep Reinforcement Learning. CoRR abs/1507.04296 (2015) - [i9]Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell:
Policy Distillation. CoRR abs/1511.06295 (2015) - 2014
- [c14]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. NIPS 2014: 2204-2212 - [c13]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. SDM 2014: 902-910 - [i8]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. CoRR abs/1406.6247 (2014) - [i7]Jimmy Ba, Volodymyr Mnih, Koray Kavukcuoglu:
Multiple Object Recognition with Visual Attention. CoRR abs/1412.7755 (2014) - 2013
- [c12]Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun:
Pedestrian Detection with Unsupervised Multi-stage Feature Learning. CVPR 2013: 3626-3633 - [c11]Andriy Mnih, Koray Kavukcuoglu:
Learning word embeddings efficiently with noise-contrastive estimation. NIPS 2013: 2265-2273 - [i6]Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin A. Riedmiller:
Playing Atari with Deep Reinforcement Learning. CoRR abs/1312.5602 (2013) - [i5]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. CoRR abs/1312.5783 (2013) - 2012
- [c10]Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III:
A Binary Classification Framework for Two-Stage Multiple Kernel Learning. ICML 2012 - [c9]Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park:
Learning the Dependency Structure of Latent Factors. NIPS 2012: 2375-2383 - [p1]Ronan Collobert, Koray Kavukcuoglu, Clément Farabet:
Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 537-557 - [i4]Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala, Yann LeCun:
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning. CoRR abs/1212.0142 (2012) - 2011
- [j2]Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa:
Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research 12: 2493-2537 (2011) - [c8]Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu, Yann LeCun:
Unsupervised Learning of Sparse Features for Scalable Audio Classification. ISMIR 2011: 681-686 - [i3]Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa:
Natural Language Processing (almost) from Scratch. CoRR abs/1103.0398 (2011) - 2010
- [c7]Yann LeCun, Koray Kavukcuoglu, Clément Farabet:
Convolutional networks and applications in vision. ISCAS 2010: 253-256 - [c6]Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Yann LeCun:
Learning Convolutional Feature Hierarchies for Visual Recognition. NIPS 2010: 1090-1098 - [i2]Arthur Szlam, Koray Kavukcuoglu, Yann LeCun:
Convolutional Matching Pursuit and Dictionary Training. CoRR abs/1010.0422 (2010) - [i1]Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun:
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition. CoRR abs/1010.3467 (2010)
2000 – 2009
- 2009
- [j1]Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun:
Learning long-range vision for autonomous off-road driving. J. Field Robotics 26(2): 120-144 (2009) - [c5]Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston:
Combining labeled and unlabeled data with word-class distribution learning. CIKM 2009: 1737-1740 - [c4]Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun:
Learning invariant features through topographic filter maps. CVPR 2009: 1605-1612 - [c3]Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun:
What is the best multi-stage architecture for object recognition? ICCV 2009: 2146-2153 - [c2]Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston:
Semi-Supervised Sequence Labeling with Self-Learned Features. ICDM 2009: 428-437 - [c1]Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun:
EBLearn: Open-Source Energy-Based Learning in C++. ICTAI 2009: 693-697
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