Matthew Botvinick

23 papers · 2008–2023 · 3 venues · across top CS/AI venues

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Achievements

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+11 more ↓

🗺️ Taxonomy Completionist (53) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Keyword Champion 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 📈 Trend Setter 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze 🗃️ Keyword Collector (126)

Venues

ICLR (12) ICML (8) NeurIPS (3)

Top co-authors

Adam Santoro (4) Razvan Pascanu (3) Charles Blundell (3) Vinicius Zambaldi (3) Oriol Vinyals (3) Francis Song (3) Anirudh Goyal (3) Loic Matthey (3) Alexander Lerchner (3) Neil C. Rabinowitz (2)

Research topics

Artificial Intelligence (17) Core AI (14) Machine Learning (13) Deep Learning (11) Reinforcement Learning (8) Learning Types · Machine Learning (7) Methods (7) Architectures (6) Core Methods (6) Interdisciplinary (4) Bayesian & Probabilistic (4) Cognitive Science (4) Learning Paradigms (4) Learning Types · Deep Learning (3) Models (3)

Keywords

reinforcement learning (6) bayesian inference (3) variational inference (2) information bottleneck (2) theory of mind (2) deep reinforcement learning (2) relational reasoning (2) disentangled representation (2) episodic memory (2) multi-agent reinforcement learning (1) transfer learning (1) transformer architecture (1) domain adaptation (1) one-shot learning (1) few-shot learning (1) multi-task learning (1) neural decoding (1) scene understanding (1) density estimation (1) decision making (1)

Papers

Learning to Induce Causal Structure ICLR 2023 Minimum Description Length Control ICLR 2023 General-purpose, long-context autoregressive modeling with Perceiver AR ICML 2022 Perceiver IO: A General Architecture for Structured Inputs & Outputs ICLR 2022 Rapid Task-Solving in Novel Environments ICLR 2021 Environmental drivers of systematicity and generalization in a situated agent ICLR 2020 MEMO: A Deep Network for Flexible Combination of Episodic Memories ICLR 2020 Stabilizing Transformers for Reinforcement Learning ICML 2020 The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget ICLR 2020 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019 Deep reinforcement learning with relational inductive biases ICLR 2019 InfoBot: Transfer and Exploration via the Information Bottleneck ICLR 2019 Multi-Object Representation Learning with Iterative Variational Inference ICML 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 Been There, Done That: Meta-Learning with Episodic Recall ICML 2018 Machine Theory of Mind ICML 2018 On the importance of single directions for generalization ICLR 2018 SCAN: Learning Hierarchical Compositional Visual Concepts ICLR 2018 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017 Meta-Learning with Memory-Augmented Neural Networks ICML 2016 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008