Joseph J. Lim

28 papers · 2011–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion 🧭 Keyword Pioneer 🧬 Topic Evolution 🌟 Keyword Trendsetter Combo (5) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🚀 Conference Pioneer ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (5) 🗃️ Keyword Collector (151) 📈 Trend Setter

Venues

CoRL (9) CVPR (7) NeurIPS (6) ICLR (4) ECCV (1) ICCV (1)

Top co-authors

Youngwoon Lee (7) Joseph J Lim (7) Shao-Hua Sun (6) Jesse Zhang (4) Antonio Torralba (3) Karl Pertsch (3) Yuke Zhu (2) Te-Lin Wu (2) Jiahui Zhang (2) Edward S. Hu (2)

Research topics

Artificial Intelligence (19) Core AI (15) Machine Learning (14) Reinforcement Learning (14) Computer Vision (10) Analysis (9) Methods (9) Deep Learning (8) Applications (8) Learning Types · Machine Learning (8) Learning Types · Deep Learning (7) Learning Paradigms (6) Robotics (5) Core Methods (4) Capabilities (3)

Keywords

imitation learning (4) reinforcement learning (4) long-horizon planning (3) object detection (3) scene understanding (3) unsupervised learning (2) few-shot learning (2) image classification (2) robot manipulation (2) action recognition (2) visual reasoning (2) sample efficiency (2) video understanding (2) reward function (2) domain adaptation (1) transfer learning (1) zero-shot learning (1) policy optimization (1) active learning (1) object recognition (1)

Papers

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CoRL 2025 EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data CoRL 2024 Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CoRL 2023 Cross-Domain Transfer via Semantic Skill Imitation CoRL 2022 Skill-based Model-based Reinforcement Learning CoRL 2022 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CoRL 2021 Demonstration-Guided Reinforcement Learning with Learned Skills CoRL 2021 Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation CoRL 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity NeurIPS 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Learning to Coordinate Manipulation Skills via Skill Behavior Diversification ICLR 2020 Program Guided Agent ICLR 2020 Composing Complex Skills by Learning Transition Policies ICLR 2019 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019 Demo2Vec: Reasoning Object Affordances From Online Videos CVPR 2018 Learning and Using the Arrow of Time CVPR 2018 Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence ECCV 2018 Universal Agent for Disentangling Environments and Tasks ICLR 2018 Knowledge Acquisition for Visual Question Answering via Iterative Querying CVPR 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 2017 Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos CVPR 2017 Discovering States and Transformations in Image Collections CVPR 2015 Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NeurIPS 2015 Looking Beyond the Visible Scene CVPR 2014 Parsing IKEA Objects: Fine Pose Estimation ICCV 2013 Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection CVPR 2013 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011