🧑‍🔬 Koray Kavukcuoglu — all works

83 works · ← Koray Kavukcuoglu

1. Natural Language Processing (almost) from ScratcharXiv:1103.0398Ronan Collobert, Jason Weston, Leon Bottou, et al.2011 · 6,163 citations
2. WaveNet: A Generative Model for Raw AudioarXiv:1609.03499Aaron van den Oord, Sander Dieleman, Heiga Zen, et al.2016 · 5,269 citations
3. Playing Atari with Deep Reinforcement Learning ↗arXiv:1312.5602 · no summary yetVolodymyr Mnih et al.2013 · 5,030 citations
4. Bootstrap your own latent: A new approach to self-supervised Learning ↗arXiv (Cornell University) · no summary yetJean-Bastien Grill et al.2020 · 3,531 citations
5. Improved protein structure prediction using potentials from deep learning ↗Nature · no summary yetAndrew Senior et al.2020 · 3,388 citations
6. Neural Discrete Representation Learning ↗arXiv (Cornell University) · no summary yetAäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu2017 · 3,163 citations
7. Highly accurate protein structure prediction for the human proteome ↗Nature · no summary yetKathryn Tunyasuvunakool et al.2021 · 3,004 citations
8. Recurrent Models of Visual Attention ↗arXiv (Cornell University) · no summary yetVolodymyr Mnih et al.2014 · 2,696 citations
9. What is the best multi-stage architecture for object recognition? ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetKevin Jarrett et al.2009 · 2,157 citations
10. Convolutional networks and applications in vision ↗no summary yetYann LeCun, Koray Kavukcuoglu, Clément Farabet2010 · 2,150 citations
11. Conditional Image Generation with PixelCNN Decoders ↗arXiv (Cornell University) · no summary yetAäron van den Oord et al.2016 · 1,969 citations
12. Asynchronous Methods for Deep Reinforcement Learning ↗arXiv:1602.01783 · ICML 2016 · no summary yetVolodymyr Mnih et al.2016 · 1,955 citations
13. Pixel Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetAäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu2016 · 1,584 citations
14. Gemma: Open Models Based on Gemini Research and Technology ↗arXiv:2403.08295 · no summary yetGemma Team et al.2024 · 1,313 citations
15. Gemma 2: Improving Open Language Models at a Practical Size ↗arXiv:2408.00118 · no summary yetGemma Team et al.2024 · 1,302 citations
16. Progressive Neural Networks ↗arXiv:1606.04671 · no summary yetAndrei A. Rusu et al.2016 · 1,295 citations
17. Weight Uncertainty in Neural Networks ↗arXiv (Cornell University) · no summary yetCharles Blundell et al.2015 · 1,217 citations
18. Matching Networks for One Shot LearningarXiv:1606.04080Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.2016 · 1,197 citations
19. Gemma 3 Technical Report ↗arXiv:2503.19786 · no summary yetGemma Team et al.2025 · 1,147 citations
20. Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗arXiv:2112.11446 · no summary yetJack W. Rae et al.2021 · 928 citations
21. Weight Uncertainty in Neural Network ↗International Conference on Machine Learning · no summary yetCharles Blundell et al.2015 · 840 citations
22. Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPierre Sermanet et al.2013 · 759 citations
23. Magnetic control of tokamak plasmas through deep reinforcement learning ↗Nature · no summary yetJonas Degrave et al.2022 · 756 citations
24. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ↗arXiv:1802.01561 · no summary yetLasse Espeholt et al.2018 · 710 citations
25. Multiple Object Recognition with Visual Attention ↗arXiv (Cornell University) · no summary yetJimmy Lei Ba, Volodymyr Mnih, Koray Kavukcuoglu2014 · 698 citations
26. Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗Science · no summary yetMax Jaderberg et al.2019 · 682 citations
27. Interaction Networks for Learning about Objects, Relations and Physics ↗arXiv:1612.00222 · no summary yetPeter W. Battaglia et al.2016 · 581 citations
28. Neural scene representation and rendering ↗Science · no summary yetS. M. Ali Eslami et al.2018 · 518 citations
29. Learning word embeddings efficiently with noise-contrastive estimation ↗neural information processing systems · no summary yetAndriy Mnih, Koray Kavukcuoglu2013 · 505 citations
30. Learning Convolutional Feature Hierarchies for Visual Recognition ↗no summary yetKoray Kavukcuoglu et al.2010 · 487 citations
31. Parallel WaveNet: Fast High-Fidelity Speech Synthesis ↗arXiv (Cornell University) · no summary yetAäron van den Oord et al.2017 · 403 citations
32. Neural Machine Translation in Linear Time ↗arXiv (Cornell University) · no summary yetNal Kalchbrenner et al.2016 · 377 citations
33. Learning to Navigate in Complex Environments ↗arXiv (Cornell University) · no summary yetPiotr Mirowski et al.2016 · 366 citations
34. Learning long‐range vision for autonomous off‐road driving ↗Journal of Field Robotics · no summary yetRaia T. Hadsell et al.2009 · 320 citations
35. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
36. Population Based Training of Neural Networks ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2017 · 310 citations
37. Hierarchical Representations for Efficient Architecture Search ↗arXiv (Cornell University) · no summary yetLiu, Hanxiao et al.2017 · 298 citations
38. Learning invariant features through topographic filter maps ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKoray Kavukcuoglu et al.2009 · 281 citations
39. FeUdal Networks for Hierarchical Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAlexander Vezhnevets et al.2017 · 272 citations
40. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ↗arXiv (Cornell University) · no summary yetS. M. Ali Eslami et al.2016 · 256 citations
41. Sample Efficient Actor-Critic with Experience Replay ↗arXiv (Cornell University) · no summary yetZiyu Wang et al.2016 · 220 citations
42. Spatial Transformer Networks ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2015 · 194 citations
43. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition ↗arXiv (Cornell University) · no summary yetKoray Kavukcuoglu, Marc’Aurelio Ranzato, Yann LeCun2010 · 190 citations
44. Exploiting Cyclic Symmetry in Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetSander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu2016 · 162 citations
45. Unsupervised Predictive Memory in a Goal-Directed Agent ↗arXiv (Cornell University) · no summary yetGreg Wayne et al.2018 · 140 citations
46. Natural Neural Networks ↗arXiv (Cornell University) · no summary yetDesjardins, Guillaume et al.2015 · 131 citations
47. Large-Scale FPGA-Based Convolutional Networks ↗Cambridge University Press eBooks · no summary yetClément Farabet et al.2011 · 128 citations
48. Efficient Neural Audio Synthesis ↗arXiv:1802.08435 · no summary yetNal Kalchbrenner et al.2018 · 117 citations
49. Unified Scaling Laws for Routed Language Models ↗arXiv (Cornell University) · no summary yetAidan Clark et al.2022 · 111 citations
50. Automated Curriculum Learning for Neural Networks ↗arXiv:1704.03003 · no summary yetAlex Graves et al.2017 · 111 citations
51. Unsupervised Learning Of Sparse Features For Scalable Audio Classification. ↗no summary yetMikael Henaff et al.2011 · 111 citations
52. Policy Distillation ↗arXiv (Cornell University) · no summary yetAndrei A. Rusu et al.2015 · 108 citations
53. Decoupled Neural Interfaces using Synthetic Gradients ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2016 · 100 citations
54. Combining policy gradient and Q-learning ↗arXiv (Cornell University) · no summary yetBrendan O’Donoghue et al.2016 · 98 citations
55. Strategic Attentive Writer for Learning Macro-Actions ↗arXiv (Cornell University) · no summary yetAlexander - et al.2016 · 89 citations
56. Learning to Navigate in Cities Without a Map ↗arXiv (Cornell University) · no summary yetPiotr Mirowski et al.2018 · 72 citations
57. Unsupervised Feature Learning by Deep Sparse Coding ↗SIAM International Conference on Data Mining · no summary yetYunlong He et al.2014 · 59 citations
58. The StreetLearn Environment and Dataset ↗arXiv (Cornell University) · no summary yetPiotr Mirowski et al.2019 · 54 citations
59. Video Pixel Networks ↗arXiv (Cornell University) · no summary yetNal Kalchbrenner et al.2016 · 48 citations
60. Understanding Synthetic Gradients and Decoupled Neural Interfaces ↗arXiv (Cornell University) · no summary yetWojciech Marian Czarnecki et al.2017 · 43 citations
61. A Binary Classification Framework for Two-Stage Multiple Kernel Learning ↗arXiv (Cornell University) · no summary yetAbhishek Kumar et al.2012 · 30 citations
62. Convolutional Matching Pursuit and Dictionary Training ↗arXiv (Cornell University) · no summary yetArthur D. Szlam, Koray Kavukcuoglu, Yann LeCun2010 · 27 citations
63. EBLearn: Open-Source Energy-Based Learning in C++ ↗Proceedings - International Conference on Tools with Artificial Intelligence, TAI · no summary yetPierre Serman, Koray Kavukcuoglu, Yann LeCun2009 · 27 citations
64. Combining labeled and unlabeled data with word-class distribution learning ↗no summary yetYanjun Qi et al.2009 · 26 citations
65. Implementing Neural Networks Efficiently ↗Lecture notes in computer science · no summary yetRonan Collobert, Koray Kavukcuoglu, Clément Farabet2012 · 21 citations
66. Semi-Supervised Sequence Labeling with Self-Learned Features ↗Proceedings · no summary yetYanjun Qi et al.2009 · 20 citations
67. Towards Autonomous Mathematics Research ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 13 citations
68. A multi-range vision strategy for autonomous offroad navigation ↗Robotics and Applications · no summary yetRaia T. Hadsell et al.2007 · 13 citations
69. Learning the Dependency Structure of Latent Factors ↗no summary yetYunlong He et al.2012 · 4 citations
70. Unsupervised Learning of Feature Hierarchies ↗no summary yetKoray Kavukcuoglu2008 · 4 citations
71. Learning feature hierarchies for object recognition ↗no summary yetYann LeCun, Koray Kavukcuoglu2010 · 2 citations
72. Traffic signs and pedestrians vision with multi-scale convolutional networks ↗no summary yetPierre Sermanet, Koray Kavukcuoglu, Yann Lecun2011 · 1 citation
73. Structured Latent Factor Analysis ↗no summary yetYunlong He et al.2014
74. High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm ↗no summary yetKevin Jarrett, Koray Kavukcuoglu, Yann Lecun2014
75. Learning word embeddings efficiently with noise-contrastive ↗no summary yetAndriy Mnih, Koray Kavukcuoglu2014
76. Autonomous Learning for Long Range Vision in Mobile Robots ↗no summary yetRaia T. Hadsell et al.2013
77. C.: Convolutional networks and applications in vision ↗no summary yetYann Lecun, Koray Kavukcuoglu, Clément Farabet2013
78. Large-scale FPGA-based . . . ↗no summary yetClément Farabet et al.2011
79. Learning Feature Hierarchies . . . ↗no summary yetKoray Kavukcuoglu2011
80. Fast inference in sparse coding algorithms with applications to object recognition. arXiv preprint arXiv:1010.3467 ↗no summary yetKoray Kavukcuoglu, Yann Lecun2010
81. 2009 Ninth IEEE International Conference on Data Mining Semi-Supervised Sequence Labeling with Self-Learned Features ↗no summary yetYanjun Qi et al.2010
82. Automated Detection of Nonproliferative Diabetic Retinopathy ↗Investigative Ophthalmology & Visual Science · no summary yetK. Ahrlich et al.2008
83. Efficient Learning and Inference of Sparse Overcomplete Representations ↗no summary yetKoray Kavukcuoglu et al.2008

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