Joel Z. Leibo

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 97

Top Venues

Publications

Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. CoRR (2024)
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
Neural Population Learning beyond Symmetric Zero-sum Games. CoRR (2024)
Luke Marris, Ian Gemp, Siqi Liu, Joel Z. Leibo, Georgios Piliouras
Visualizing 2x2 Normal-Form Games: twoxtwogame LaTeX Package. CoRR (2024)
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
A social path to human-like artificial intelligence. CoRR (2024)
Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Z. Leibo, Nicolas Heess
Neural Population Learning beyond Symmetric Zero-Sum Games. AAMAS (2024)
Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. CoRR (2023)
Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. CoRR (2023)
Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. CoRR (2023)
Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, Peter Sunehag
A Review of Cooperation in Multi-agent Learning. CoRR (2023)
Edgar A. Duéñez-Guzmán, Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, Joel Z. Leibo
A social path to human-like artificial intelligence. Nat. Mac. Intell. 5 (11) (2023)
Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
Resolving social dilemmas with minimal reward transfer. CoRR (2023)
Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. AAMAS (2023)
Aliya Amirova, Theodora Fteropoulli, Nafiso Ahmed, Martin R. Cowie, Joel Z. Leibo
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity. CoRR (2023)
Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon, Maxime Derex, Thomas F. Müller, Anne-Marie Nussberger, Agnieszka Czaplicka, Alberto Acerbi, Thomas L. Griffiths, Joseph Henrich, Joel Z. Leibo, Richard McElreath, Pierre-Yves Oudeyer, Jonathan Stray, Iyad Rahwan
Machine Culture. CoRR (2023)
Yiran Mao, Madeline G. Reinecke, Markus Kunesch, Edgar A. Duéñez-Guzmán, Ramona Comanescu, Julia Haas, Joel Z. Leibo
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity. CoRR (2023)
Madeline G. Reinecke, Yiran Mao, Markus Kunesch, Edgar A. Duéñez-Guzmán, Julia Haas, Joel Z. Leibo
The Puzzle of Evaluating Moral Cognition in Artificial Agents. Cogn. Sci. 47 (8) (2023)
Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria. CoRR (2022)
Jee Hang Lee, Joel Z. Leibo, Su Jin An, Sang Wan Lee
Importance of prefrontal meta control in human-like reinforcement learning. Frontiers Comput. Neurosci. 16 (2022)
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo
Melting Pot 2.0. CoRR (2022)
Michael Bradley Johanson, Edward Hughes, Finbarr Timbers, Joel Z. Leibo
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning. CoRR (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. PLoS Comput. Biol. 18 (2) (2022)
Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee
The emergence of division of labor through decentralized social sanctioning. CoRR (2022)
Anil Yaman, Nicolas Bredèche, Onur Çaylak, Joel Z. Leibo, Sang Wan Lee
Meta-control of social learning strategies. CoRR (2021)
Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. AAMAS (2021)
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying environment and population diversity in multi-agent reinforcement learning. CoRR (2021)
Eugene Vinitsky, Raphael Köster, John P. Agapiou, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, Joel Z. Leibo
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. CoRR (2021)
Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charlie Beattie, Thore Graepel, Matthew Botvinick, Joel Z. Leibo
Deep reinforcement learning models the emergent dynamics of human cooperation. CoRR (2021)
Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, Thore Graepel
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. CoRR (2021)
Edgar A. Duéñez-Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo
Statistical discrimination in learning agents. CoRR (2021)
Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. ICML (2021)
Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. CoRR (2021)
David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel
Smooth markets: A basic mechanism for organizing gradient-based learners. ICLR (2020)
Raphael Köster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors. CoRR (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. AAMAS (2020)
Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML (2020)
David Balduzzi, Wojciech M. Czarnecki, Thomas W. Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel
Smooth markets: A basic mechanism for organizing gradient-based learners. CoRR (2020)
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
Open Problems in Cooperative AI. CoRR (2020)
Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. AAMAS (2020)
Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. CoRR (2020)
Raphael Köster, Kevin R. McKee, Richard Everett, Laura Weidinger, William S. Isaac, Edward Hughes, Edgar A. Duéñez-Guzmán, Thore Graepel, Matthew Botvinick, Joel Z. Leibo
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. CoRR (2020)
Raphael Koster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo
Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors. AAMAS (2020)
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
Negotiating Team Formation Using Deep Reinforcement Learning. CoRR (2020)
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
Negotiating team formation using deep reinforcement learning. Artif. Intell. 288 (2020)
Karl Tuyls, Julien Pérolat, Marc Lanctot, Edward Hughes, Richard Everett, Joel Z. Leibo, Csaba Szepesvári, Thore Graepel
Bounds and dynamics for empirical game theoretic analysis. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. CoRR (2020)
Charles Beattie, Thomas Köppe, Edgar A. Duéñez-Guzmán, Joel Z. Leibo
DeepMind Lab2D. CoRR (2020)
Ben Seymour, Joel Z. Leibo, Su Jin An, Sang Wan Lee
Toward high-performance, memory-efficient, and fast reinforcement learning - Lessons from decision neuroscience. Sci. Robotics 4 (26) (2019)
Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo
Learning Reciprocity in Complex Sequential Social Dilemmas. CoRR (2019)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML (2019)
Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
Interval timing in deep reinforcement learning agents. NeurIPS (2019)
Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo
Evolving Intrinsic Motivations for Altruistic Behavior. AAMAS (2019)
Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo
The Imitation Game: Learned Reciprocity in Markov games. AAMAS (2019)
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
Generalization of Reinforcement Learners with Working and Episodic Memory. NeurIPS (2019)
Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research. CoRR (2019)
Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo
Interval timing in deep reinforcement learning agents. CoRR (2019)
Peter Sunehag, Guy Lever, Siqi Liu, Josh Merel, Nicolas Heess, Joel Z. Leibo, Edward Hughes, Tom Eccles, Thore Graepel
Reinforcement Learning Agents acquire Flocking and Symbiotic Behaviour in Simulated Ecosystems. ALIFE (2019)
Alexander Sasha Vezhnevets, Yuhuai Wu, Rémi Leblond, Joel Z. Leibo
Options as responses: Grounding behavioural hierarchies in multi-agent RL. CoRR (2019)
Joel Z. Leibo, Julien Pérolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar A. Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel
Malthusian Reinforcement Learning. AAMAS (2019)
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
Generalization of Reinforcement Learners with Working and Episodic Memory. CoRR (2019)
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
Kickstarting Deep Reinforcement Learning. CoRR (2018)
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
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. AAMAS (2018)
Karl Tuyls, Julien Pérolat, Marc Lanctot, Joel Z. Leibo, Thore Graepel
A Generalised Method for Empirical Game Theoretic Analysis. AAMAS (2018)
Edward Hughes, Joel Z. Leibo, Matthew Phillips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel
Inequity aversion improves cooperation in intertemporal social dilemmas. NeurIPS (2018)
Joel Z. Leibo, Julien Pérolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar A. Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel
Malthusian Reinforcement Learning. CoRR (2018)
Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo
Evolving intrinsic motivations for altruistic behavior. CoRR (2018)
Karl Tuyls, Julien Pérolat, Marc Lanctot, Joel Z. Leibo, Thore Graepel
A Generalised Method for Empirical Game Theoretic Analysis. CoRR (2018)
Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys
Deep Q-learning From Demonstrations. AAAI (2018)
Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew Botvinick
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents. CoRR (2018)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR (2018)
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark
Emergent Communication through Negotiation. ICLR (Poster) (2018)
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew Botvinick, Demis Hassabis, Timothy P. Lillicrap
Unsupervised Predictive Memory in a Goal-Directed Agent. CoRR (2018)
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark
Emergent Communication through Negotiation. CoRR (2018)
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, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR (2018)
Edward Hughes, Joel Z. Leibo, Matthew G. Philips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel
Inequity aversion resolves intertemporal social dilemmas. CoRR (2018)
Joel Z. Leibo, Vinícius Flores Zambaldi, Marc Lanctot, Janusz Marecki, Thore Graepel
Multi-agent Reinforcement Learning in Sequential Social Dilemmas. AAMAS (2017)
Julien Pérolat, Joel Z. Leibo, Vinícius Flores Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel
A multi-agent reinforcement learning model of common-pool resource appropriation. NIPS (2017)
Julien Pérolat, Joel Z. Leibo, Vinícius Flores Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel
A multi-agent reinforcement learning model of common-pool resource appropriation. CoRR (2017)
Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Andrew Sendonaris, Gabriel Dulac-Arnold, Ian Osband, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys
Learning from Demonstrations for Real World Reinforcement Learning. CoRR (2017)
Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick
Learning to reinforcement learn. CogSci (2017)
Matthew Botvinick, David G. T. Barrett, Peter W. Battaglia, Nando de Freitas, Dharshan Kumaran, Joel Z. Leibo, Tim Lillicrap, Joseph Modayil, S. Mohamed, Neil C. Rabinowitz, Danilo Jimenez Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. CoRR (2017)
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
Value-Decomposition Networks For Cooperative Multi-Agent Learning. CoRR (2017)
Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z. Leibo, Toby Ord, Thore Graepel, Shane Legg
Symmetric Decomposition of Asymmetric Games. CoRR (2017)
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu
Reinforcement Learning with Unsupervised Auxiliary Tasks. ICLR (2017)
Joel Z. Leibo, Vinícius Flores Zambaldi, Marc Lanctot, Janusz Marecki, Thore Graepel
Multi-agent Reinforcement Learning in Sequential Social Dilemmas. CoRR (2017)
Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis
Model-Free Episodic Control. CoRR (2016)
Jane X. Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matthew Botvinick
Learning to reinforcement learn. CoRR (2016)
Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso A. Poggio
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation. CoRR (2016)
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu
Reinforcement Learning with Unsupervised Auxiliary Tasks. CoRR (2016)
Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
Using Fast Weights to Attend to the Recent Past. NIPS (2016)
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso A. Poggio
Unsupervised learning of invariant representations. Theor. Comput. Sci. 633 (2016)
Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus Wainwright, Heinrich Küttler, Andrew Lefrancq, Simon Green, Víctor Valdés, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King, Demis Hassabis, Shane Legg, Stig Petersen
DeepMind Lab. CoRR (2016)
Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
How Important Is Weight Symmetry in Backpropagation? AAAI (2016)
Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
Using Fast Weights to Attend to the Recent Past. CoRR (2016)
Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
How Important is Weight Symmetry in Backpropagation? CoRR (2015)
Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis
Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation. CoRR (2015)
Joel Z. Leibo, Qianli Liao, Fabio Anselmi, Tomaso A. Poggio
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. PLoS Comput. Biol. 11 (10) (2015)
Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
Unsupervised learning of clutter-resistant visual representations from natural videos. CoRR (2014)
Joel Z. Leibo, Qianli Liao, Tomaso A. Poggio
Subtasks of Unconstrained Face Recognition. VISAPP (2) (2014)
Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio
Learning invariant representations and applications to face verification. NIPS (2013)

Joel Z. Leibo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Joel Z. Leibo