Karen Simonyan

102 papers A* 21A 3B 1Journal 58Unranked 18

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	An empirical analysis of compute-optimal large language model training. NeurIPS Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre
2022	J	`jnl`	Flamingo: a Visual Language Model for Few-Shot Learning. CoRR Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan
2022	J	`jnl`	Hierarchical Perceiver. CoRR João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022	A*	`conf`	Improving Language Models by Retrieving from Trillions of Tokens. ICML Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2022	J	`jnl`	Training Compute-Optimal Large Language Models. CoRR Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre
2022	A*	`conf`	Unified Scaling Laws for Routed Language Models. ICML Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2022	J	`jnl`	Unified Scaling Laws for Routed Language Models. CoRR Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2021	A*	`conf`	End-to-end Adversarial Text-to-Speech. ICLR Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
2021	A*	`conf`	High-Performance Large-Scale Image Recognition Without Normalization. ICML Andy Brock, Soham De, Samuel L. Smith, Karen Simonyan
2021	J	`jnl`	High-Performance Large-Scale Image Recognition Without Normalization. CoRR Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan
2021	J	`jnl`	Improving language models by retrieving from trillions of tokens. CoRR Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2021	—	`conf`	Machine Translation Decoding beyond Beam Search. EMNLP (1) Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	J	`jnl`	Machine Translation Decoding beyond Beam Search. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	A*	`conf`	Practical Real Time Recurrent Learning with a Sparse Approximation. ICLR Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
2021	J	`jnl`	Skilful precipitation nowcasting using deep generative models of radar. Nat. Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
2021	J	`jnl`	Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
2021	J	`jnl`	Variable-rate discrete representation learning. CoRR Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan
2020	J	`jnl`	A Practical Sparse Approximation for Real Time Recurrent Learning. CoRR Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
2020	J	`jnl`	AlgebraNets. CoRR Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen
2020	J	`jnl`	End-to-End Adversarial Text-to-Speech. CoRR Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
2020	A*	`conf`	Evolving Normalization-Activation Layers. NeurIPS Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le
2020	J	`jnl`	Evolving Normalization-Activation Layers. CoRR Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
2020	A*	`conf`	Fast Sparse ConvNets. CVPR Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
2020	A*	`conf`	High Fidelity Speech Synthesis with Adversarial Networks. ICLR Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
2020	J	`jnl`	Improved protein structure prediction using potentials from deep learning. Nat. 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
2020	J	`jnl`	Mastering Atari, Go, chess and shogi by planning with a learned model. Nat. Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver
2020	A*	`conf`	Off-Policy Actor-Critic with Shared Experience Replay. ICML Simon Schmitt, Matteo Hessel, Karen Simonyan
2020	J	`jnl`	This time with feeling: learning expressive musical performance. Neural Comput. Appl. Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2020	J	`jnl`	Transformation-based Adversarial Video Prediction on Large-Scale Data. CoRR Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan
2019	—	`conf`	DARTS: Differentiable Architecture Search. ICLR (Poster) Hanxiao Liu, Karen Simonyan, Yiming Yang
2019	J	`jnl`	Efficient Video Generation on Complex Datasets. CoRR Aidan Clark, Jeff Donahue, Karen Simonyan
2019	J	`jnl`	Fast Sparse ConvNets. CoRR Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
2019	J	`jnl`	Hierarchical Autoregressive Image Models with Auxiliary Decoders. CoRR Jeffrey De Fauw, Sander Dieleman, Karen Simonyan
2019	J	`jnl`	High Fidelity Speech Synthesis with Adversarial Networks. CoRR Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
2019	J	`jnl`	LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap
2019	A*	`conf`	Large Scale Adversarial Representation Learning. NeurIPS Jeff Donahue, Karen Simonyan
2019	J	`jnl`	Large Scale Adversarial Representation Learning. CoRR Jeff Donahue, Karen Simonyan
2019	—	`conf`	Large Scale GAN Training for High Fidelity Natural Image Synthesis. ICLR Andrew Brock, Jeff Donahue, Karen Simonyan
2019	J	`jnl`	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. CoRR Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver
2019	J	`jnl`	Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan
2019	J	`jnl`	Off-Policy Actor-Critic with Shared Experience Replay. CoRR Simon Schmitt, Matteo Hessel, Karen Simonyan
2019	J	`jnl`	The StreetLearn Environment and Dataset. CoRR 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
2018	J	`jnl`	DARTS: Differentiable Architecture Search. CoRR Hanxiao Liu, Karen Simonyan, Yiming Yang
2018	A*	`conf`	Efficient Neural Audio Synthesis. ICML Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	J	`jnl`	Efficient Neural Audio Synthesis. CoRR Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	—	`conf`	Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
2018	A*	`conf`	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. ICML Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu
2018	J	`jnl`	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. CoRR Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu
2018	J	`jnl`	Kickstarting Deep Reinforcement Learning. CoRR Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami
2018	J	`jnl`	Large Scale GAN Training for High Fidelity Natural Image Synthesis. CoRR Andrew Brock, Jeff Donahue, Karen Simonyan
2018	A*	`conf`	Learning to Navigate in Cities Without a Map. NeurIPS Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	J	`jnl`	Learning to Navigate in Cities Without a Map. CoRR Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
2018	A*	`conf`	Learning to Search with MCTSnets. ICML Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
2018	J	`jnl`	Learning to Search with MCTSnets. CoRR Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
2018	A*	`conf`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 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
2018	A*	`conf`	The challenge of realistic music generation: modelling raw audio at scale. NeurIPS Sander Dieleman, Aäron van den Oord, Karen Simonyan
2018	J	`jnl`	The challenge of realistic music generation: modelling raw audio at scale. CoRR Sander Dieleman, Aäron van den Oord, Karen Simonyan
2018	J	`jnl`	This Time with Feeling: Learning Expressive Musical Performance. CoRR Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2017	J	`jnl`	Hierarchical Representations for Efficient Architecture Search. CoRR Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
2017	J	`jnl`	Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. CoRR David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy P. Lillicrap, Karen Simonyan, Demis Hassabis
2017	J	`jnl`	Mastering the game of Go without human knowledge. Nat. David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis
2017	A*	`conf`	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan
2017	J	`jnl`	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
2017	J	`jnl`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR 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
2017	J	`jnl`	Population Based Training of Neural Networks. CoRR 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
2017	J	`jnl`	StarCraft II: A New Challenge for Reinforcement Learning. CoRR Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing
2017	J	`jnl`	The Kinetics Human Action Video Dataset. CoRR Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Neural Machine Translation in Linear Time. CoRR Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Reading Text in the Wild with Convolutional Neural Networks. Int. J. Comput. Vis. Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	WaveNet: A Generative Model for Raw Audio. SSW Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2016	J	`jnl`	WaveNet: A Generative Model for Raw Audio. CoRR Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2015	—	`conf`	Deep Structured Output Learning for Unconstrained Text Recognition. ICLR Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2015	—	`conf`	Natural Neural Networks. NIPS Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
2015	J	`jnl`	Natural Neural Networks. CoRR Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
2015	—	`conf`	Spatial Transformer Networks. NIPS Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
2015	J	`jnl`	Spatial Transformer Networks. CoRR Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
2015	—	`conf`	Very Deep Convolutional Networks for Large-Scale Image Recognition. ICLR Karen Simonyan, Andrew Zisserman
2014	A*	`conf`	A Compact and Discriminative Face Track Descriptor. CVPR Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	—	`conf`	Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman
2014	—	`conf`	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	—	`conf`	Efficient On-the-fly Category Retrieval Using ConvNets and GPUs. ACCV (1) Ken Chatfield, Karen Simonyan, Andrew Zisserman
2014	J	`jnl`	Efficient On-the-fly Category Retrieval using ConvNets and GPUs. CoRR Ken Chatfield, Karen Simonyan, Andrew Zisserman
2014	J	`jnl`	Learning Local Feature Descriptors Using Convex Optimisation. IEEE Trans. Pattern Anal. Mach. Intell. Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	J	`jnl`	Reading Text in the Wild with Convolutional Neural Networks. CoRR Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	A	`conf`	Return of the Devil in the Details: Delving Deep into Convolutional Nets. BMVC Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	J	`jnl`	Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	J	`jnl`	Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2014	—	`conf`	Two-Stream Convolutional Networks for Action Recognition in Videos. NIPS Karen Simonyan, Andrew Zisserman
2014	J	`jnl`	Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR Karen Simonyan, Andrew Zisserman
2014	A*	`conf`	Understanding Objects in Detail with Fine-Grained Attributes. CVPR Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed
2013	—	`conf`	Deep Fisher Networks for Large-Scale Image Classification. NIPS Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2013	A	`conf`	Fisher Vector Faces in the Wild. BMVC Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman
2013	—	`—`	Large-scale learning of discriminative image representations. Karen Simonyan
2012	—	`conf`	Descriptor Learning Using Convex Optimisation. ECCV (1) Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
2012	—	`conf`	Immediate ROI Search for 3-D Medical Images. MCBR-CDS Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman
2011	—	`conf`	Immediate Structured Visual Search for Medical Images. MICCAI (3) Karen Simonyan, Andrew Zisserman, Antonio Criminisi
2009	A	`conf`	Edge-Directed Interpolation in a Bayesian Framework. BMVC Karen Simonyan, Dmitriy S. Vatolin
2008	B	`conf`	Fast video super-resolution via classification. ICIP Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov
2008	—	`conf`	Video super-resolution using motion compensation and classification-aided fusion. SCCG Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov