---
title: "Karen Simonyan — all works — Elamur Research"
description: "All 47 works of Karen Simonyan 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/karen-simonyan/works/"
---
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# Karen Simonyan — all works

47 works · [← Karen Simonyan](https://md.research.elamur.ai/free/en/authors/karen-simonyan/)

1. [**Very Deep Convolutional Networks for Large-Scale Image Recognition arXiv:1409.1556**Karen Simonyan, Andrew Zisserman*2014 · 73,393 citations*](https://md.research.elamur.ai/free/en/papers/simonyan-2014-very-deep-convolutional-networks-large/)
2. **[Two-Stream Convolutional Networks for Action Recognition in Videos ↗](https://arxiv.org/abs/1406.2199) arXiv (Cornell University) · no summary yet**Karen Simonyan, Andrew Zisserman*2014 · 6,227 citations*
3. [**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/)
4. **[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*
5. **[Return of the Devil in the Details: Delving Deep into Convolutional Nets ↗](https://doi.org/10.5244/c.28.6) British Machine Vision Conference (BMVC) · no summary yet**Ken Chatfield et al.*2014 · 3,379 citations*
6. **[The Kinetics Human Action Video Dataset ↗](https://arxiv.org/abs/1705.06950) arXiv (Cornell University) · no summary yet**Will Kay et al.*2017 · 2,839 citations*
7. [**Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034**Karen Simonyan, Andrea Vedaldi, Andrew Zisserman*2013 · 1,210 citations*](https://md.research.elamur.ai/free/en/papers/simonyan-2013-deep-inside-convolutional-networks-visualising/)
8. **[Reading Text in the Wild with Convolutional Neural Networks ↗](https://doi.org/10.1007/s11263-015-0823-z) International Journal of Computer Vision · no summary yet**Max Jaderberg et al.*2015 · 1,208 citations*
9. **[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*
10. **[Improving language models by retrieving from trillions of tokens ↗](https://arxiv.org/abs/2112.04426) arXiv:2112.04426 · no summary yet**Sebastian Borgeaud et al.*2021 · 869 citations*
11. **[Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition ↗](https://arxiv.org/abs/1406.2227) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2014 · 757 citations*
12. **[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*
13. **[StarCraft II: A New Challenge for Reinforcement Learning ↗](https://arxiv.org/abs/1708.04782) arXiv (Cornell University) · no summary yet**Oriol Vinyals et al.*2017 · 680 citations*
14. **[Fisher Vector Faces in the Wild ↗](https://doi.org/10.5244/c.27.8) British Machine Vision Conference (BMVC) · no summary yet**Karen Simonyan et al.*2013 · 448 citations*
15. **[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*
16. **[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*
17. **[Learning Local Feature Descriptors Using Convex Optimisation ↗](https://doi.org/10.1109/tpami.2014.2301163) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Karen Simonyan, Andrea Vedaldi, Andrew Zisserman*2014 · 359 citations*
18. **[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*
19. **[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*
20. **[Deep Structured Output Learning for Unconstrained Text Recognition ↗](https://arxiv.org/abs/1412.5903) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2014 · 210 citations*
21. **[Spatial Transformer Networks ↗](https://arxiv.org/abs/1506.02025) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2015 · 194 citations*
22. **[Deep Fisher Networks for Large-Scale Image Classification ↗](https://openalex.org/W2165146474) neural information processing systems · no summary yet**Karen Simonyan, Andrea Vedaldi, Andrew Zisserman*2013 · 147 citations*
23. **[Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos ↗](https://doi.org/10.1007/978-3-319-16865-4_35) Lecture notes in computer science · no summary yet**Tomas Pfister et al.*2015 · 137 citations*
24. **[Natural Neural Networks ↗](https://arxiv.org/abs/1507.00210) arXiv (Cornell University) · no summary yet**Desjardins, Guillaume et al.*2015 · 131 citations*
25. **[A Compact and Discriminative Face Track Descriptor ↗](https://doi.org/10.1109/cvpr.2014.219) 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**Omkar Parkhi et al.*2014 · 121 citations*
26. **[Efficient Neural Audio Synthesis ↗](https://arxiv.org/abs/1802.08435) arXiv:1802.08435 · no summary yet**Nal Kalchbrenner et al.*2018 · 117 citations*
27. **[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*
28. **[Understanding Objects in Detail with Fine-Grained Attributes ↗](https://doi.org/10.1109/cvpr.2014.463) 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**Andrea Vedaldi et al.*2014 · 92 citations*
29. **[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*
30. **[Machine Translation Decoding beyond Beam Search ↗](https://aclanthology.org/2021.emnlp-main.662/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rémi Leblond et al.*2021 · 60 citations*
31. **[Descriptor Learning Using Convex Optimisation ↗](https://doi.org/10.1007/978-3-642-33718-5_18) Lecture notes in computer science · no summary yet**Karen Simonyan, Andrea Vedaldi, Andrew Zisserman*2012 · 60 citations*
32. **[Evolving Normalization-Activation Layers ↗](https://arxiv.org/abs/2004.02967) arXiv (Cornell University) · no summary yet**Hanxiao Liu et al.*2020 · 54 citations*
33. **[The StreetLearn Environment and Dataset ↗](https://arxiv.org/abs/1903.01292) arXiv (Cornell University) · no summary yet**Piotr Mirowski et al.*2019 · 54 citations*
34. **[Kickstarting Deep Reinforcement Learning ↗](https://arxiv.org/abs/1803.03835) arXiv (Cornell University) · no summary yet**Simon Schmitt et al.*2018 · 51 citations*
35. **[Video Pixel Networks ↗](https://arxiv.org/abs/1610.00527) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner et al.*2016 · 48 citations*
36. **[Learning to Search with MCTSnets ↗](https://arxiv.org/abs/1802.04697) arXiv:1802.04697 · no summary yet**Arthur Guez et al.*2018 · 30 citations*
37. **[Efficient On-the-fly Category Retrieval Using ConvNets and GPUs ↗](https://doi.org/10.1007/978-3-319-16865-4_9) Lecture notes in computer science · no summary yet**Ken Chatfield, Karen Simonyan, Andrew Zisserman*2015 · 16 citations*
38. **[Immediate Structured Visual Search for Medical Images ↗](https://doi.org/10.1007/978-3-642-23626-6_36) Lecture notes in computer science · no summary yet**Karen Simonyan, Andrew Zisserman, Antonio Criminisi*2011 · 14 citations*
39. **[Immediate ROI Search for 3-D Medical Images ↗](https://doi.org/10.1007/978-3-642-36678-9_6) Lecture notes in computer science · no summary yet**Karen Simonyan et al.*2013 · 9 citations*
40. **[HiP: Hierarchical Perceiver ↗](https://arxiv.org/abs/2202.10890) arXiv (Cornell University) · no summary yet**João Carreira et al.*2022 · 4 citations*
41. **[Practical Real Time Recurrent Learning with a Sparse Approximation ↗](https://openalex.org/W3132106315) International Conference on Learning Representations · no summary yet**Jacob Menick et al.*2021 · 4 citations*
42. **[A Practical Sparse Approximation for Real Time Recurrent Learning ↗](https://arxiv.org/abs/2006.07232) arXiv (Cornell University) · no summary yet**Jacob Menick et al.*2020 · 4 citations*
43. **[Towards a detailed understanding of objects and scenes in natural images ↗](https://openalex.org/W2524969449) INRIA a CCSD electronic archive server · no summary yet**Matthew B. Blaschko et al.*2012 · 2 citations*
44. **[Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing ↗](https://doi.org/10.60692/91c9x-hhq33) Greater South Information System · no summary yet**Emma Strubell et al.*2017*
45. **[1Efficient On-the-fly Category Retrieval using ConvNets and ↗](https://openalex.org/W7100849197) no summary yet**Ken Chatfield, Karen Simonyan, Andrew Zisserman*2016*
46. **[Synthetic data and artificial neural networks for natural scene text recognition." arXiv preprint arXiv:1406.2227 ↗](https://openalex.org/W7098536107) no summary yet**Max Jaderberg et al.*2014*
47. **[Anatomy-Driven Medical Image Search ↗](https://openalex.org/W81372805) no summary yet**Karen Simonyan et al.*2010*