Matthew Botvinick
- Machine Theory of Mind
2018/02/21 by Neil C. Rabinowitz, Rabinowitz, Neil C., Frank Perbet +10 · 4 voices · 42 citations
Social Sciences · Computer Science · #Evolutionary Game Theory and Cooperation #Reinforcement Learning in Robotics #Bayesian Modeling and Causal Inference
- On the importance of single directions for generalization
2018/03/19 by Ari S. Morcos, David G. T. Barrett, Morcos, Ari S. +5 · 3 voices · 22 citations
Computer Science · Neuroscience · #Advanced Vision and Imaging #Blind Source Separation Techniques #Visual perception and processing mechanisms
- One-shot Learning with Memory-Augmented Neural Networks
2016/05/19 by Adam Santoro, Santoro, Adam, Sergey Bartunov +7 · 1 voice · 31 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Geophysical Methods and Applications
- Unsupervised Predictive Memory in a Goal-Directed Agent
2018/03/28 by Greg Wayne, Chia-Chun Hung, Wayne, Greg +50 · 1 voice · 8 citations
Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Perceiver IO: A General Architecture for Structured Inputs & Outputs
2021/07/30 by Andrew Jaegle, Jaegle, Andrew, Sebastian Borgeaud +27 · 59 citations
Computer Science · #Anomaly Detection Techniques and Applications #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #Topic Modeling #electronic engineering #information engineering
- 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
- Causal Reasoning from Meta-reinforcement Learning
2019/01/23 by Ishita Dasgupta, Jane Wang, Jane X. Wang +20 · 1 voice · 8 citations
Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
- Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
2018/01/24 by Joel Z. Leibo, Leibo, Joel Z., Cyprien de Masson d’Autume +27 · 3 voices · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.AI #cs.NE #q-bio.NC
- Meta-in-context learning in large language models
2023/05/22 by Julian Coda-Forno, Coda-Forno, Julian, Marcel Binz +9 · 1 voice · 7 citations
Computer Science · #cs.CL #cs.AI #cs.LG
- Fine-tuning language models to find agreement among humans with diverse preferences
2022/11/28 by Michiel A. Bakker, Bakker, Michiel A., Martin J. Chadwick +19 · 21 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
2022/10/15 by Anthony M. Zador, Zador, Anthony, G. Sean Escola +51 · 15 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
- Statistical learning of temporal community structure in the hippocampus
2015/09/02 by Anna C. Schapiro, Nicholas B. Turk‐Browne, Nicholas B. Turk-Browne +3 · 9 citations
Neuroscience · #Memory and Neural Mechanisms #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research
- AI can help humans find common ground in democratic deliberation
2024/10/17 by Michael Henry Tessler, Michiel A. Bakker, Daniel Jarrett +9 · 3 voices · 18 citations
Neuroscience · Social Sciences · #Ethics and Social Impacts of AI #Misinformation and Its Impacts #Psychology of Moral and Emotional Judgment
- Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
2018/11/04 by Jakob Foerster, Francis Song, Foerster, Jakob N. +13 · 9 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
- Meta-learning of Sequential Strategies
2019/05/08 by Pedro A. Ortega, Ortega, Pedro A., Jane X. Wang +45 · 13 citations
Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Data Stream Mining Techniques
- V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
2019/09/26 by Hao Song, Abbas Abdolmaleki, Song, H. Francis +25 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Single-cell and spatial transcriptomics #Zebrafish Biomedical Research Applications
- Decision making and the avoidance of cognitive demand.
2010/01/01 by Wouter Kool, Joseph T. McGuire, Zev B. Rosen +1 · 1 voice · 3 citations
Decision Sciences · Neuroscience · Psychology · #Decision-Making and Behavioral Economics #Neural and Behavioral Psychology Studies #Behavioral Health and Interventions
- General-purpose, long-context autoregressive modeling with Perceiver AR
2022/02/15 by Curtis Hawthorne, Andrew Jaegle, Hawthorne, Curtis +27 · 4 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- Environmental drivers of systematicity and generalization in a situated agent
2019/10/01 by Felix Hill, Andrew K. Lampinen, Hill, Felix +11 · 6 citations
Social Sciences · Computer Science · #Language and cultural evolution #Evolutionary Algorithms and Applications #Multi-Agent Systems and Negotiation
- Learning to Share and Hide Intentions using Information Regularization
2018/08/06 by Daniel Strouse, Max Kleiman‐Weiner, Strouse, DJ +7 · 6 citations
Computer Science · Social Sciences · Neuroscience · #Reinforcement Learning in Robotics #Experimental Behavioral Economics Studies #Neural dynamics and brain function
- SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
2021/06/07 by Rishabh Kabra, Kabra, Rishabh, Daniel Zoran +13 · 2 citations
Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Meta-Learned Models of Cognition
2023/04/12 by Marcel Binz, Binz, Marcel, Ishita Dasgupta +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- The intrinsic cost of cognitive control
2013/12/01 by Wouter Kool, Matthew Botvinick · 1 citation
- SCAN: Learning Hierarchical Compositional Visual Concepts
2017/07/11 by Irina Higgins, Nicolas Sonnerat, Higgins, Irina +17 · 1 voice
#stat.ML #cs.LG
- 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
- The Variational Bandwidth Bottleneck: Stochastic Evaluation on an\n Information Budget
2020/04/24 by Anirudh Goyal, Yoshua Bengio, Goyal, Anirudh +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
- Adaptive patch foraging in deep reinforcement learning agents
2022/10/14 by Nathan J. Wispinski, Wispinski, Nathan J., Andrew Butcher +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Single-cell and spatial transcriptomics
- A Unified Theory of Dual-Process Control
2022/11/13 by Ted Moskovitz, Kevin Miller, Moskovitz, Ted +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Neuroscience · #FOS: Biological sciences #Neural and Behavioral Psychology Studies #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Receptor Mechanisms and Signaling