David G. T. Barrett
- A simple neural network module for relational reasoning
2017/06/05 by Adam Santoro, Santoro, Adam, David Raposo +11 · 1 voice · 16 citations
#cs.CL #cs.LG
- On the importance of single directions for generalization
2018/03/19 by Ari S. Morcos, Morcos, Ari S., David G. T. Barrett +5 · 3 voices · 22 citations
Computer Science · Neuroscience · #Advanced Vision and Imaging #Blind Source Separation Techniques #Visual perception and processing mechanisms
- Capabilities of Gemini Models in Medicine
2024/04/29 by Khaled Saab, Saab, Khaled, Tao Tu +138 · 3 voices · 27 citations
Computer Science · Decision Sciences · Mathematics · #Mathematical Biology Tumor Growth #Simulation Techniques and Applications #cs.AI #cs.CL #cs.CV #cs.LG
- An Explicitly Relational Neural Network Architecture
2019/05/24 by Murray Shanahan, Kyriacos Nikiforou, Shanahan, Murray +10 · 1 voice · 4 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- Measuring abstract reasoning in neural networks
2018/07/11 by David G. T. Barrett, Barrett, David G. T., Felix Hill +7 · 32 citations
Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- Advancing Multimodal Medical Capabilities of Gemini
2024/05/06 by Lin Yang, Yang, Lin, Shawn Xu +91 · 15 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Biomedical and Engineering Education #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Techniques and Practices
- Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
2017/06/26 by Samuel Ritter, David G. T. Barrett, Ritter, Samuel +5 · 6 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- On the Origin of Implicit Regularization in Stochastic Gradient Descent
2021/01/28 by Samuel Smith, Smith, Samuel L., Benoît Dherin +5 · 7 citations
Computer Science · Physics and Astronomy · Mathematics · #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks #Markov Chains and Monte Carlo Methods
- Learning to Make Analogies by Contrasting Abstract Relational Structure
2019/01/31 by Felix Hill, Adam Santoro, Hill, Felix +7 · 3 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- Why neural networks find simple solutions: the many regularizers of geometric complexity
2022/09/27 by Benoît Dherin, Dherin, Benoit, Michael Munn +5 · 4 citations
Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications
- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
2017/11/22 by Matthew Botvinick, David G. T. Barrett, Botvinick, M. +35 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
- Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
2019/04/18 by Adam Santoro, Santoro, Adam, Felix Hill +9 · 1 citation
Neuroscience · Computer Science · Psychology · #Cognitive Science and Education Research #Cognitive Science and Mapping #Action Observation and Synchronization