Joshua Tenenbaum

25 papers · 2005–2024 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (47) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 🌈 Renaissance Researcher (7) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (138)

Venues

ICML (13) RSS (5) CoRL (2) ACL (1) AISTATS (1) EMNLP (1) NeurIPS (1) UAI (1)

Top co-authors

Yilun Du (6) Jiajun Wu (4) Tianmin Shu (4) Antonio Torralba (3) Armando Solar-Lezama (3) Shuang Li (3) Pulkit Agrawal (3) Sergey Levine (2) Michael Janner (2) Igor Mordatch (2)

Research topics

Artificial Intelligence (18) Core AI (14) Machine Learning (13) Deep Learning (9) Core Methods (7) Learning Paradigms (6) Learning Types (6) Computer Vision (5) Models (5) Reinforcement Learning (4) Architectures (4) Optimization & Theory (4) Analysis (3) Methods (3) Knowledge & Reasoning (2)

Keywords

few-shot learning (4) program induction (3) program synthesis (3) task and motion planning (2) bayesian inverse planning (2) multimodal learning (2) large language model (2) theory of mind (2) semi-supervised learning (1) image generation (1) semantic segmentation (1) imitation learning (1) variational inference (1) pose estimation (1) 3d reconstruction (1) visual observation (1) logical reasoning (1) offline reinforcement learning (1) zero-shot learning (1) prototype learning (1)

Papers

Few-Shot Task Learning through Inverse Generative Modeling NeurIPS 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 ConceptFusion: Open-set multimodal 3D mapping RSS 2023 LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers EMNLP 2023 NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects RSS 2023 Tactile-Filter: Interactive Tactile Perception for Part Mating RSS 2023 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022 Learning Iterative Reasoning through Energy Minimization ICML 2022 Planning with Diffusion for Flexible Behavior Synthesis ICML 2022 Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022 AGENT: A Benchmark for Core Psychological Reasoning ICML 2021 A large-scale benchmark for few-shot program induction and synthesis ICML 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Leveraging Language to Learn Program Abstractions and Search Heuristics ICML 2021 A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects CoRL 2020 Learning to learn generative programs with Memoised Wake-Sleep UAI 2020 Visual Grounding of Learned Physical Models ICML 2020 DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions RSS 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning CoRL 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Learning to Infer Program Sketches ICML 2019 Neurally-Guided Structure Inference ICML 2019 Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning RSS 2018 Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013 Exact and Approximate Sampling by Systematic Stochastic Search AISTATS 2005