Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarKoray Kavukcuoglu
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j8]Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
Improved protein structure prediction using potentials from deep learning. Nat. 577(7792): 706-710 (2020)- [i42]Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko:
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR abs/2006.07733 (2020)
2010 – 2019
- 2019
- [j7]Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom L. Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver:
Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 575(7782): 350-354 (2019) - [i41]Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
The StreetLearn Environment and Dataset. CoRR abs/1903.01292 (2019) - 2018
- [j6]Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran:
Vector-based navigation using grid-like representations in artificial agents. Nat. 557(7705): 429-433 (2018) - [c44]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) 2018 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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
- [c39]Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas:
Sample Efficient Actor-Critic with Experience Replay. ICLR (Poster) 2017 - [c38]Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu:
Reinforcement Learning with Unsupervised Auxiliary Tasks. ICLR 2017 - [c37]Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell:
Learning to Navigate in Complex Environments. ICLR (Poster) 2017 - [c36]Brendan O'Donoghue, Rémi Munos, Koray Kavukcuoglu, Volodymyr Mnih:
Combining policy gradient and Q-learning. ICLR (Poster) 2017 - [c35]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML 2017: 904-912 - [c34]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. ICML 2017: 1311-1320 - [c33]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 - [c32]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. ICML 2017: 1771-1779 - [c31]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 - [c30]Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu:
Neural Discrete Representation Learning. NIPS 2017: 6306-6315 - [i35]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) - [i34]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) - [i33]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. CoRR abs/1704.03003 (2017) - [i32]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. CoRR abs/1711.00436 (2017) - [i31]Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu:
Neural Discrete Representation Learning. CoRR abs/1711.00937 (2017) - [i30]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) - [i29]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. Nat. 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 P. 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. Nat. 538(7626): 471-476 (2016) - [c29]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. ICML 2016: 1747-1756 - [c28]Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu:
Exploiting Cyclic Symmetry in Convolutional Neural Networks. ICML 2016: 1889-1898 - [c27]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 - [c26]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 - [c25]Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John P. Agapiou, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. NIPS 2016: 3486-3494 - [c24]Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra:
Matching Networks for One Shot Learning. NIPS 2016: 3630-3638 - [c23]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 - [c22]Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves:
Conditional Image Generation with PixelCNN Decoders. NIPS 2016: 4790-4798 - [c21]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 - [c20]Andrei A. Rusu, Sergio Gomez Colmenarejo, Çaglar Gülçehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell:
Policy Distillation. ICLR (Poster) 2016 - [i28]Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu:
Pixel Recurrent Neural Networks. CoRR abs/1601.06759 (2016) - [i27]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) - [i26]Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu:
Exploiting Cyclic Symmetry in Convolutional Neural Networks. CoRR abs/1602.02660 (2016) - [i25]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) - [i24]Kevin Jarrett, Koray Kavukcuoglu, Karol Gregor, Yann LeCun:
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? CoRR abs/1606.01535 (2016) - [i23]Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, Daan Wierstra:
Matching Networks for One Shot Learning. CoRR abs/1606.04080 (2016) - [i22]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) - [i21]Alexander Vezhnevets, Volodymyr Mnih, John P. Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. CoRR abs/1606.04695 (2016) - [i20]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) - [i19]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. CoRR abs/1608.05343 (2016) - [i18]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) - [i17]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. CoRR abs/1610.00527 (2016) - [i16]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) - [i15]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) - [i14]Brendan O'Donoghue, Rémi Munos, Koray Kavukcuoglu, Volodymyr Mnih:
PGQ: Combining policy gradient and Q-learning. CoRR abs/1611.01626 (2016) - [i13]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) - [i12]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) - [i11]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. Nat. 518(7540): 529-533 (2015) - [c19]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Network. ICML 2015: 1613-1622 - [c18]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. NIPS 2015: 2017-2025 - [c17]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. NIPS 2015: 2071-2079 - [c16]Jimmy Ba, Volodymyr Mnih, Koray Kavukcuoglu:
Multiple Object Recognition with Visual Attention. ICLR (Poster) 2015 - [i10]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Networks. CoRR abs/1505.05424 (2015) - [i9]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. CoRR abs/1506.02025 (2015) - [i8]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. CoRR abs/1507.00210 (2015) - [i7]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) - 2014
- [c15]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. NIPS 2014: 2204-2212 - [c14]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. SDM 2014: 902-910 - [c13]Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi:
Unsupervised Feature Learning by Deep Sparse Coding. ICLR (Workshop) 2014 - [i6]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. CoRR abs/1406.6247 (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 - [i5]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) - 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. J. Mach. Learn. Res. 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org and opencitations.net to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy.
Citation data
Add a list of citing articles from to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter accout. At the same time, Twitter will persitently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2020-07-31 01:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
