Joshua Tenenbaum

24 papers · 2013–2024 · 7 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (11)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (11) 🧬 Topic Evolution 🗃️ Keyword Collector (139) 🚀 Conference Pioneer 💎 Century Club (24) 🔥 Unstoppable (7) 📈 Trend Setter ⚡ Prolific Year (5)

Conferences

ICML (13) RSS (5) CORL (2) ACL (1) EMNLP (1) NIPS (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)

Keywords

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

Papers

Few-Shot Task Learning through Inverse Generative Modeling NIPS 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers EMNLP 2023 ConceptFusion: Open-set multimodal 3D mapping RSS 2023 Tactile-Filter: Interactive Tactile Perception for Part Mating RSS 2023 NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects RSS 2023 Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022 Planning with Diffusion for Flexible Behavior Synthesis ICML 2022 Learning Iterative Reasoning through Energy Minimization 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 Visual Grounding of Learned Physical Models ICML 2020 A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects CORL 2020 Learning to learn generative programs with Memoised Wake-Sleep UAI 2020 Neurally-Guided Structure Inference ICML 2019 DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions RSS 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning CORL 2019 Learning to Infer Program Sketches 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