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Max Jaderberg

  1. Reinforcement Learning with Unsupervised Auxiliary Tasks
    2016/11/16 by Max Jaderberg, Volodymyr Mnih, Jaderberg, Max +12 · 3 voices · 66 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Data Stream Mining Techniques
  2. Understanding Synthetic Gradients and Decoupled Neural Interfaces
    2017/03/01 by Wojciech Marian Czarnecki, Czarnecki, Wojciech Marian, Grzegorz Świrszcz +9 · 4 voices · 6 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Neural Networks and Applications #Quantum Computing Algorithms and Architecture #cs.LG #cs.NE
  3. FeUdal Networks for Hierarchical Reinforcement Learning
    2017/03/03 by Alexander Sasha Vezhnevets, Simon Osindero, Vezhnevets, Alexander Sasha +11 · 2 voices · 49 citations
    Computer Science · #cs.AI
  4. Accurate structure prediction of biomolecular interactions with AlphaFold 3
    2024/05/08 by Josh Abramson, Jonas Adler, Jack Dunger +45 · 1 voice · 665 citations
    Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics
  5. Spatial Transformer Networks
    2015/06/05 by Max Jaderberg, Jaderberg, Max, Karen Simonyan +5 · 1 voice · 44 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  6. Decoupled Neural Interfaces using Synthetic Gradients
    2016/08/18 by Max Jaderberg, Jaderberg, Max, Wojciech Marian Czarnecki +11 · 2 voices · 19 citations
    Computer Science · Engineering · #cs.LG
  7. Synthetic Data and Artificial Neural Networks for Natural Scene Text\n Recognition
    2014/06/09 by Max Jaderberg, Jaderberg, Max, Karen Simonyan +5 · 64 citations
    Computer Science · #Handwritten Text Recognition Techniques #Natural Language Processing Techniques #Topic Modeling
  8. Sobolev Training for Neural Networks
    2017/06/15 by Wojciech Marian Czarnecki, Czarnecki, Wojciech Marian, Simon Osindero +7 · 1 voice · 15 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.LG
  9. Population Based Training of Neural Networks
    2017/11/27 by Max Jaderberg, Valentin Dalibard, Jaderberg, Max +21 · 27 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
  10. Stabilizing Transformers for Reinforcement Learning
    2019/10/13 by Emilio Parisotto, Hao Song, Parisotto, Emilio +23 · 31 citations
    Computer Science · Neuroscience · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Neural dynamics and brain function
  11. Open-ended Learning in Symmetric Zero-sum Games
    2019/01/23 by David Balduzzi, Marta Garnelo, Balduzzi, David +11 · 1 voice · 5 citations
    Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #cs.GT #cs.LG #cs.MA #stat.ML
  12. Grounded Language Learning in a Simulated 3D World
    2017/06/20 by Karl Moritz Hermann, Hermann, Karl Moritz, Felix Hill +25 · 24 citations
    Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Multimodal Machine Learning Applications
  13. Reading Text in the Wild with Convolutional Neural Networks
    2014/12/04 by Max Jaderberg, Karen Simonyan, Jaderberg, Max +5 · 9 citations
    Computer Science · #Handwritten Text Recognition Techniques #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
  14. Distilling Policy Distillation
    2019/02/06 by Wojciech Marian Czarnecki, Razvan Pascanu, Czarnecki, Wojciech Marian +9 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  15. Unsupervised Learning of 3D Structure from Images
    2016/07/03 by Danilo Jimenez Rezende, S. M. Ali Eslami, Rezende, Danilo Jimenez +9 · 6 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. Mix&Match - Agent Curricula for Reinforcement Learning
    2018/06/05 by Wojciech Marian Czarnecki, Czarnecki, Wojciech Marian, Siddhant M. Jayakumar +13 · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Multi-Agent Systems and Negotiation #Software Engineering Research
  17. A Generalized Framework for Population Based Training
    2019/02/05 by Ang Li, Li, Ang, Ola Spyra +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE) #Parallel #Speech Recognition and Synthesis #Speech and Audio Processing #and Cluster Computing (cs.DC)