Andrew Brock - RankMe

25 papers A* 3Misc 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	ConvNets Match Vision Transformers at Scale. CoRR Samuel L. Smith, Andrew Brock, Leonard Berrada, Soham De
2023	A*	`conf`	Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation. ICLR Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L. Smith, Yee Whye Teh
2023	J	`jnl`	Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation. CoRR Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L. Smith, Yee Whye Teh
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	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	Misc	`conf`	Towards Learning Universal Audio Representations. ICASSP Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2021	A*	`conf`	Characterizing signal propagation to close the performance gap in unnormalized ResNets. ICLR Andrew Brock, Soham De, Samuel L. Smith
2021	J	`jnl`	Characterizing signal propagation to close the performance gap in unnormalized ResNets. CoRR Andrew Brock, Soham De, Samuel L. Smith
2021	J	`jnl`	Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error. CoRR Stanislav Fort, Andrew Brock, Razvan Pascanu, Soham De, Samuel L. Smith
2021	J	`jnl`	High-Performance Large-Scale Image Recognition Without Normalization. CoRR Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	J	`jnl`	Perceiver: General Perception with Iterative Attention. CoRR Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira
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`	Towards Learning Universal Audio Representations. CoRR Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord
2020	J	`jnl`	BYOL works even without batch statistics. CoRR Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel L. Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko
2020	J	`jnl`	Evolving Normalization-Activation Layers. CoRR Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
2020	J	`jnl`	Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli
2019	—	`conf`	Large Scale GAN Training for High Fidelity Natural Image Synthesis. ICLR Andrew Brock, Jeff Donahue, Karen Simonyan
2018	J	`jnl`	Large Scale GAN Training for High Fidelity Natural Image Synthesis. CoRR Andrew Brock, Jeff Donahue, Karen Simonyan
2018	—	`conf`	SMASH: One-Shot Model Architecture Search through HyperNetworks. ICLR (Poster) Andrew Brock, Theodore Lim, James M. Ritchie, Nick Weston
2017	J	`jnl`	FreezeOut: Accelerate Training by Progressively Freezing Layers. CoRR Andrew Brock, Theodore Lim, James M. Ritchie, Nick Weston
2017	—	`conf`	Neural Photo Editing with Introspective Adversarial Networks. ICLR (Poster) Andrew Brock, Theodore Lim, James M. Ritchie, Nick Weston
2017	J	`jnl`	SMASH: One-Shot Model Architecture Search through HyperNetworks. CoRR Andrew Brock, Theodore Lim, James M. Ritchie, Nick Weston
2016	J	`jnl`	Neural Photo Editing with Introspective Adversarial Networks. CoRR Andrew Brock, Theodore Lim, James M. Ritchie, Nick Weston