---
title: "Koray Kavukcuoglu — all works — Elamur Research"
description: "All 83 works of Koray Kavukcuoglu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/koray-kavukcuoglu/works/"
---
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# Koray Kavukcuoglu — all works

83 works · [← Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/)

1. [**Natural Language Processing (almost) from Scratch arXiv:1103.0398**Ronan Collobert, Jason Weston, Leon Bottou, et al.*2011 · 6,163 citations*](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/)
2. [**WaveNet: A Generative Model for Raw Audio arXiv:1609.03499**Aaron van den Oord, Sander Dieleman, Heiga Zen, et al.*2016 · 5,269 citations*](https://md.research.elamur.ai/free/en/papers/oord-2016-wavenet-generative-model-raw-audio/)
3. **[Playing Atari with Deep Reinforcement Learning ↗](https://arxiv.org/abs/1312.5602) arXiv:1312.5602 · no summary yet**Volodymyr Mnih et al.*2013 · 5,030 citations*
4. **[Bootstrap your own latent: A new approach to self-supervised Learning ↗](https://arxiv.org/abs/2006.07733) arXiv (Cornell University) · no summary yet**Jean-Bastien Grill et al.*2020 · 3,531 citations*
5. **[Improved protein structure prediction using potentials from deep learning ↗](https://doi.org/10.1038/s41586-019-1923-7) Nature · no summary yet**Andrew Senior et al.*2020 · 3,388 citations*
6. **[Neural Discrete Representation Learning ↗](https://arxiv.org/abs/1711.00937) arXiv (Cornell University) · no summary yet**Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu*2017 · 3,163 citations*
7. **[Highly accurate protein structure prediction for the human proteome ↗](https://doi.org/10.1038/s41586-021-03828-1) Nature · no summary yet**Kathryn Tunyasuvunakool et al.*2021 · 3,004 citations*
8. **[Recurrent Models of Visual Attention ↗](https://arxiv.org/abs/1406.6247) arXiv (Cornell University) · no summary yet**Volodymyr Mnih et al.*2014 · 2,696 citations*
9. **[What is the best multi-stage architecture for object recognition? ↗](https://doi.org/10.1109/iccv.2009.5459469) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Kevin Jarrett et al.*2009 · 2,157 citations*
10. **[Convolutional networks and applications in vision ↗](https://doi.org/10.1109/iscas.2010.5537907) no summary yet**Yann LeCun, Koray Kavukcuoglu, Clément Farabet*2010 · 2,150 citations*
11. **[Conditional Image Generation with PixelCNN Decoders ↗](https://arxiv.org/abs/1606.05328) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2016 · 1,969 citations*
12. **[Asynchronous Methods for Deep Reinforcement Learning ↗](https://arxiv.org/abs/1602.01783) arXiv:1602.01783 · ICML 2016 · no summary yet**Volodymyr Mnih et al.*2016 · 1,955 citations*
13. **[Pixel Recurrent Neural Networks ↗](https://arxiv.org/abs/1601.06759) arXiv (Cornell University) · no summary yet**Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu*2016 · 1,584 citations*
14. **[Gemma: Open Models Based on Gemini Research and Technology ↗](https://arxiv.org/abs/2403.08295) arXiv:2403.08295 · no summary yet**Gemma Team et al.*2024 · 1,313 citations*
15. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
16. **[Progressive Neural Networks ↗](https://arxiv.org/abs/1606.04671) arXiv:1606.04671 · no summary yet**Andrei A. Rusu et al.*2016 · 1,295 citations*
17. **[Weight Uncertainty in Neural Networks ↗](https://arxiv.org/abs/1505.05424) arXiv (Cornell University) · no summary yet**Charles Blundell et al.*2015 · 1,217 citations*
18. [**Matching Networks for One Shot Learning arXiv:1606.04080**Oriol Vinyals, Charles Blundell, Timothy Lillicrap, et al.*2016 · 1,197 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2016-matching-networks-one-shot-learning/)
19. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
20. **[Scaling Language Models: Methods, Analysis & Insights from Training Gopher ↗](https://arxiv.org/abs/2112.11446) arXiv:2112.11446 · no summary yet**Jack W. Rae et al.*2021 · 928 citations*
21. **[Weight Uncertainty in Neural Network ↗](https://openalex.org/W2164411961) International Conference on Machine Learning · no summary yet**Charles Blundell et al.*2015 · 840 citations*
22. **[Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗](https://doi.org/10.1109/cvpr.2013.465) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pierre Sermanet et al.*2013 · 759 citations*
23. **[Magnetic control of tokamak plasmas through deep reinforcement learning ↗](https://doi.org/10.1038/s41586-021-04301-9) Nature · no summary yet**Jonas Degrave et al.*2022 · 756 citations*
24. **[IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ↗](https://arxiv.org/abs/1802.01561) arXiv:1802.01561 · no summary yet**Lasse Espeholt et al.*2018 · 710 citations*
25. **[Multiple Object Recognition with Visual Attention ↗](https://arxiv.org/abs/1412.7755) arXiv (Cornell University) · no summary yet**Jimmy Lei Ba, Volodymyr Mnih, Koray Kavukcuoglu*2014 · 698 citations*
26. **[Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗](https://doi.org/10.1126/science.aau6249) Science · no summary yet**Max Jaderberg et al.*2019 · 682 citations*
27. **[Interaction Networks for Learning about Objects, Relations and Physics ↗](https://arxiv.org/abs/1612.00222) arXiv:1612.00222 · no summary yet**Peter W. Battaglia et al.*2016 · 581 citations*
28. **[Neural scene representation and rendering ↗](https://doi.org/10.1126/science.aar6170) Science · no summary yet**S. M. Ali Eslami et al.*2018 · 518 citations*
29. **[Learning word embeddings efficiently with noise-contrastive estimation ↗](https://openalex.org/W2097732278) neural information processing systems · no summary yet**Andriy Mnih, Koray Kavukcuoglu*2013 · 505 citations*
30. **[Learning Convolutional Feature Hierarchies for Visual Recognition ↗](https://openalex.org/W2169488311) no summary yet**Koray Kavukcuoglu et al.*2010 · 487 citations*
31. **[Parallel WaveNet: Fast High-Fidelity Speech Synthesis ↗](https://arxiv.org/abs/1711.10433) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2017 · 403 citations*
32. **[Neural Machine Translation in Linear Time ↗](https://arxiv.org/abs/1610.10099) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner et al.*2016 · 377 citations*
33. **[Learning to Navigate in Complex Environments ↗](https://arxiv.org/abs/1611.03673) arXiv (Cornell University) · no summary yet**Piotr Mirowski et al.*2016 · 366 citations*
34. **[Learning long‐range vision for autonomous off‐road driving ↗](https://doi.org/10.1002/rob.20276) Journal of Field Robotics · no summary yet**Raia T. Hadsell et al.*2009 · 320 citations*
35. [**Reinforcement Learning with Unsupervised Auxiliary Tasks arXiv:1611.05397**Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/jaderberg-2016-reinforcement-learning-unsupervised-auxiliary-tasks/)
36. **[Population Based Training of Neural Networks ↗](https://arxiv.org/abs/1711.09846) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2017 · 310 citations*
37. **[Hierarchical Representations for Efficient Architecture Search ↗](https://arxiv.org/abs/1711.00436) arXiv (Cornell University) · no summary yet**Liu, Hanxiao et al.*2017 · 298 citations*
38. **[Learning invariant features through topographic filter maps ↗](https://doi.org/10.1109/cvpr.2009.5206545) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Koray Kavukcuoglu et al.*2009 · 281 citations*
39. **[FeUdal Networks for Hierarchical Reinforcement Learning ↗](https://arxiv.org/abs/1703.01161) arXiv (Cornell University) · no summary yet**Alexander Vezhnevets et al.*2017 · 272 citations*
40. **[Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ↗](https://arxiv.org/abs/1603.08575) arXiv (Cornell University) · no summary yet**S. M. Ali Eslami et al.*2016 · 256 citations*
41. **[Sample Efficient Actor-Critic with Experience Replay ↗](https://arxiv.org/abs/1611.01224) arXiv (Cornell University) · no summary yet**Ziyu Wang et al.*2016 · 220 citations*
42. **[Spatial Transformer Networks ↗](https://arxiv.org/abs/1506.02025) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2015 · 194 citations*
43. **[Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition ↗](https://arxiv.org/abs/1010.3467) arXiv (Cornell University) · no summary yet**Koray Kavukcuoglu, Marc’Aurelio Ranzato, Yann LeCun*2010 · 190 citations*
44. **[Exploiting Cyclic Symmetry in Convolutional Neural Networks ↗](https://arxiv.org/abs/1602.02660) arXiv (Cornell University) · no summary yet**Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu*2016 · 162 citations*
45. **[Unsupervised Predictive Memory in a Goal-Directed Agent ↗](https://arxiv.org/abs/1803.10760) arXiv (Cornell University) · no summary yet**Greg Wayne et al.*2018 · 140 citations*
46. **[Natural Neural Networks ↗](https://arxiv.org/abs/1507.00210) arXiv (Cornell University) · no summary yet**Desjardins, Guillaume et al.*2015 · 131 citations*
47. **[Large-Scale FPGA-Based Convolutional Networks ↗](https://doi.org/10.1017/cbo9781139042918.020) Cambridge University Press eBooks · no summary yet**Clément Farabet et al.*2011 · 128 citations*
48. **[Efficient Neural Audio Synthesis ↗](https://arxiv.org/abs/1802.08435) arXiv:1802.08435 · no summary yet**Nal Kalchbrenner et al.*2018 · 117 citations*
49. **[Unified Scaling Laws for Routed Language Models ↗](https://arxiv.org/abs/2202.01169) arXiv (Cornell University) · no summary yet**Aidan Clark et al.*2022 · 111 citations*
50. **[Automated Curriculum Learning for Neural Networks ↗](https://arxiv.org/abs/1704.03003) arXiv:1704.03003 · no summary yet**Alex Graves et al.*2017 · 111 citations*
51. **[Unsupervised Learning Of Sparse Features For Scalable Audio Classification. ↗](https://doi.org/10.5281/zenodo.1416085) no summary yet**Mikael Henaff et al.*2011 · 111 citations*
52. **[Policy Distillation ↗](https://arxiv.org/abs/1511.06295) arXiv (Cornell University) · no summary yet**Andrei A. Rusu et al.*2015 · 108 citations*
53. **[Decoupled Neural Interfaces using Synthetic Gradients ↗](https://arxiv.org/abs/1608.05343) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2016 · 100 citations*
54. **[Combining policy gradient and Q-learning ↗](https://arxiv.org/abs/1611.01626) arXiv (Cornell University) · no summary yet**Brendan O’Donoghue et al.*2016 · 98 citations*
55. **[Strategic Attentive Writer for Learning Macro-Actions ↗](https://arxiv.org/abs/1606.04695) arXiv (Cornell University) · no summary yet**Alexander - et al.*2016 · 89 citations*
56. **[Learning to Navigate in Cities Without a Map ↗](https://arxiv.org/abs/1804.00168) arXiv (Cornell University) · no summary yet**Piotr Mirowski et al.*2018 · 72 citations*
57. **[Unsupervised Feature Learning by Deep Sparse Coding ↗](https://doi.org/10.1137/1.9781611973440.103) SIAM International Conference on Data Mining · no summary yet**Yunlong He et al.*2014 · 59 citations*
58. **[The StreetLearn Environment and Dataset ↗](https://arxiv.org/abs/1903.01292) arXiv (Cornell University) · no summary yet**Piotr Mirowski et al.*2019 · 54 citations*
59. **[Video Pixel Networks ↗](https://arxiv.org/abs/1610.00527) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner et al.*2016 · 48 citations*
60. **[Understanding Synthetic Gradients and Decoupled Neural Interfaces ↗](https://arxiv.org/abs/1703.00522) arXiv (Cornell University) · no summary yet**Wojciech Marian Czarnecki et al.*2017 · 43 citations*
61. **[A Binary Classification Framework for Two-Stage Multiple Kernel Learning ↗](https://arxiv.org/abs/1206.6428) arXiv (Cornell University) · no summary yet**Abhishek Kumar et al.*2012 · 30 citations*
62. **[Convolutional Matching Pursuit and Dictionary Training ↗](https://arxiv.org/abs/1010.0422) arXiv (Cornell University) · no summary yet**Arthur D. Szlam, Koray Kavukcuoglu, Yann LeCun*2010 · 27 citations*
63. **[EBLearn: Open-Source Energy-Based Learning in C++ ↗](https://doi.org/10.1109/ictai.2009.28) Proceedings - International Conference on Tools with Artificial Intelligence, TAI · no summary yet**Pierre Serman, Koray Kavukcuoglu, Yann LeCun*2009 · 27 citations*
64. **[Combining labeled and unlabeled data with word-class distribution learning ↗](https://doi.org/10.1145/1645953.1646218) no summary yet**Yanjun Qi et al.*2009 · 26 citations*
65. **[Implementing Neural Networks Efficiently ↗](https://doi.org/10.1007/978-3-642-35289-8_28) Lecture notes in computer science · no summary yet**Ronan Collobert, Koray Kavukcuoglu, Clément Farabet*2012 · 21 citations*
66. **[Semi-Supervised Sequence Labeling with Self-Learned Features ↗](https://doi.org/10.1109/icdm.2009.40) Proceedings · no summary yet**Yanjun Qi et al.*2009 · 20 citations*
67. **[Towards Autonomous Mathematics Research ↗](https://arxiv.org/abs/2602.10177) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 13 citations*
68. **[A multi-range vision strategy for autonomous offroad navigation ↗](https://openalex.org/W178742210) Robotics and Applications · no summary yet**Raia T. Hadsell et al.*2007 · 13 citations*
69. **[Learning the Dependency Structure of Latent Factors ↗](https://openalex.org/W2170710952) no summary yet**Yunlong He et al.*2012 · 4 citations*
70. **[Unsupervised Learning of Feature Hierarchies ↗](https://openalex.org/W2182258871) no summary yet**Koray Kavukcuoglu*2008 · 4 citations*
71. **[Learning feature hierarchies for object recognition ↗](https://openalex.org/W2301105015) no summary yet**Yann LeCun, Koray Kavukcuoglu*2010 · 2 citations*
72. **[Traffic signs and pedestrians vision with multi-scale convolutional networks ↗](https://openalex.org/W7097372383) no summary yet**Pierre Sermanet, Koray Kavukcuoglu, Yann Lecun*2011 · 1 citation*
73. **[Structured Latent Factor Analysis ↗](https://openalex.org/W7097873296) no summary yet**Yunlong He et al.*2014*
74. **[High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm ↗](https://openalex.org/W7097794235) no summary yet**Kevin Jarrett, Koray Kavukcuoglu, Yann Lecun*2014*
75. **[Learning word embeddings efficiently with noise-contrastive ↗](https://openalex.org/W7098398046) no summary yet**Andriy Mnih, Koray Kavukcuoglu*2014*
76. **[Autonomous Learning for Long Range Vision in Mobile Robots ↗](https://openalex.org/W7100679896) no summary yet**Raia T. Hadsell et al.*2013*
77. **[C.: Convolutional networks and applications in vision ↗](https://openalex.org/W7098113703) no summary yet**Yann Lecun, Koray Kavukcuoglu, Clément Farabet*2013*
78. **[Large-scale FPGA-based . . . ↗](https://openalex.org/W7100676820) no summary yet**Clément Farabet et al.*2011*
79. **[Learning Feature Hierarchies . . . ↗](https://openalex.org/W7096618813) no summary yet**Koray Kavukcuoglu*2011*
80. **[Fast inference in sparse coding algorithms with applications to object recognition. arXiv preprint arXiv:1010.3467 ↗](https://openalex.org/W7098518951) no summary yet**Koray Kavukcuoglu, Yann Lecun*2010*
81. **[2009 Ninth IEEE International Conference on Data Mining Semi-Supervised Sequence Labeling with Self-Learned Features ↗](https://openalex.org/W7096681493) no summary yet**Yanjun Qi et al.*2010*
82. **[Automated Detection of Nonproliferative Diabetic Retinopathy ↗](https://openalex.org/W1042869665) Investigative Ophthalmology & Visual Science · no summary yet**K. Ahrlich et al.*2008*
83. **[Efficient Learning and Inference of Sparse Overcomplete Representations ↗](https://openalex.org/W7100724526) no summary yet**Koray Kavukcuoglu et al.*2008*
