Speeding up Convolutional Neural Networks with Low Rank Expansions. - Max Jaderberg; Andrea Vedaldi; Andrew Zisserman (BMVC, 2014)

Deep Features for Text Spotting. - Max Jaderberg; Andrea Vedaldi; Andrew Zisserman (ECCV (4), 2014)

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. - Max Jaderberg; Karen Simonyan; Andrea Vedaldi; Andrew Zisserman (CoRR, 2014)

Spatial Transformer Networks. - Max Jaderberg; Karen Simonyan; Andrew Zisserman; Koray Kavukcuoglu (NIPS, 2015)

Deep Structured Output Learning for Unconstrained Text Recognition. - Max Jaderberg; Karen Simonyan; Andrea Vedaldi; Andrew Zisserman (ICLR, 2015)

Convolution by Evolution: Differentiable Pattern Producing Networks. - Chrisantha Fernando; Dylan Banarse; Malcolm Reynolds; Frederic Besse; David Pfau; Max Jaderberg; Marc Lanctot; Daan Wierstra (GECCO, 2016)

Unsupervised Learning of 3D Structure from Images. - Danilo Jimenez Rezende; S. M. Ali Eslami; Shakir Mohamed; Peter W. Battaglia; Max Jaderberg; Nicolas Heess (NIPS, 2016)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

Reading Text in the Wild with Convolutional Neural Networks. - Max Jaderberg; Karen Simonyan; Andrea Vedaldi; Andrew Zisserman (Int. J. Comput. Vis., 2016)

Reinforcement Learning with Unsupervised Auxiliary Tasks. - Max Jaderberg; Volodymyr Mnih; Wojciech Marian Czarnecki; Tom Schaul; Joel Z. Leibo; David Silver; Koray Kavukcuoglu (ICLR, 2017)

Understanding Synthetic Gradients and Decoupled Neural Interfaces. - Wojciech Marian Czarnecki; Grzegorz Swirszcz; Max Jaderberg; Simon Osindero; Oriol Vinyals; Koray Kavukcuoglu (ICML, 2017)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; David Silver; Koray Kavukcuoglu (ICML, 2017)

FeUdal Networks for Hierarchical Reinforcement Learning. - Alexander Sasha Vezhnevets; Simon Osindero; Tom Schaul; Nicolas Heess; Max Jaderberg; David Silver; Koray Kavukcuoglu (ICML, 2017)

Sobolev Training for Neural Networks. - Wojciech M. Czarnecki; Simon Osindero; Max Jaderberg; Grzegorz Swirszcz; Razvan Pascanu (NIPS, 2017)

Grounded Language Learning in a Simulated 3D World. - Karl Moritz Hermann; Felix Hill; Simon Green; Fumin Wang; Ryan Faulkner 001; Hubert Soyer; David Szepesvari; Wojciech Marian Czarnecki; Max Jaderberg; Denis Teplyashin; Marcus Wainwright; Chris Apps; et al. (CoRR, 2017)

Value-Decomposition Networks For Cooperative Multi-Agent Learning. - Peter Sunehag; Guy Lever; Audrunas Gruslys; Wojciech Marian Czarnecki; Vinícius Flores Zambaldi; Max Jaderberg; Marc Lanctot; Nicolas Sonnerat; Joel Z. Leibo; Karl Tuyls; Thore Graepel (CoRR, 2017)

Population Based Training of Neural Networks. - 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 (CoRR, 2017)

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. - Peter Sunehag; Guy Lever; Audrunas Gruslys; Wojciech Marian Czarnecki; Vinícius Flores Zambaldi; Max Jaderberg; Marc Lanctot; Nicolas Sonnerat; Joel Z. Leibo; Karl Tuyls; Thore Graepel (AAMAS, 2018)

Mix & Match Agent Curricula for Reinforcement Learning. - Wojciech Marian Czarnecki; Siddhant M. Jayakumar; Max Jaderberg; Leonard Hasenclever; Yee Whye Teh; Nicolas Heess; Simon Osindero; Razvan Pascanu (ICML, 2018)

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Max Jaderberg; Wojciech M. Czarnecki; Iain Dunning; Luke Marris; Guy Lever; Antonio García Castañeda; Charles Beattie; Neil C. Rabinowitz; Ari S. Morcos; Avraham Ruderman; Nicolas Sonnerat; Tim Green; et al. (CoRR, 2018)

Distilling Policy Distillation. - Wojciech M. Czarnecki; Razvan Pascanu; Simon Osindero; Siddhant M. Jayakumar; Grzegorz Swirszcz; Max Jaderberg (AISTATS, 2019)

Open-ended learning in symmetric zero-sum games. - David Balduzzi; Marta Garnelo; Yoram Bachrach; Wojciech Czarnecki 001; Julien Pérolat; Max Jaderberg; Thore Graepel (ICML, 2019)

A Generalized Framework for Population Based Training. - Ang Li 001; Ola Spyra; Sagi Perel; Valentin Dalibard; Max Jaderberg; Chenjie Gu; David Budden; Tim Harley; Pramod Gupta (KDD, 2019)

A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. - Wojciech Marian Czarnecki; Simon Osindero; Razvan Pascanu; Max Jaderberg (CoRR, 2019)

Grandmaster level in StarCraft II using multi-agent reinforcement learning. - Oriol Vinyals; Igor Babuschkin; Wojciech M. Czarnecki; Michaël Mathieu; Andrew Dudzik; Junyoung Chung; David H. Choi; Richard Powell; Timo Ewalds; Petko Georgiev; Junhyuk Oh; Dan Horgan; et al. (Nat., 2019)

Stabilizing Transformers for Reinforcement Learning. - Emilio Parisotto; H. Francis Song; Jack W. Rae; Razvan Pascanu; Çaglar Gülçehre; Siddhant M. Jayakumar; Max Jaderberg; Raphaël Lopez Kaufman; Aidan Clark; Seb Noury; Matthew M. Botvinick; Nicolas Heess; et al. (ICML, 2020)

Real World Games Look Like Spinning Tops. - Wojciech M. Czarnecki; Gauthier Gidel; Brendan D. Tracey; Karl Tuyls; Shayegan Omidshafiei; David Balduzzi; Max Jaderberg (NeurIPS, 2020)

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning. - Adam Stooke; Valentin Dalibard; Siddhant M. Jayakumar; Wojciech M. Czarnecki; Max Jaderberg (CoRR, 2020)

Open-Ended Learning Leads to Generally Capable Agents. - Open Ended Learning Team; Adam Stooke; Anuj Mahajan; Catarina Barros; Charlie Deck; Jakob Bauer; Jakub Sygnowski; Maja Trebacz; Max Jaderberg; Michaël Mathieu; Nat McAleese; Nathalie Bradley-Schmieg; et al. (CoRR, 2021)

Faster Improvement Rate Population Based Training. - Valentin Dalibard; Max Jaderberg (CoRR, 2021)