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← Authors

Jongmin Lee

43 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (5) 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (42) 🚀 Conference Pioneer 📈 Trend Setter 🗃️ Keyword Collector (165) ⚡ Prolific Year (5) 🔥 Unstoppable (10)

Conferences

NIPS (12) ICLR (8) AAAI (4) ICML (4) CVPR (3) IJCAI (3) ECCV (2) ACML (1) AISTATS (1) CORL (1) EMNLP (1) ICCV (1) IJCNLP (1) WACV (1)

Top co-authors

Kee-eung Kim (22) Youngsoo Jang (9) Minsu Cho (7) Byung-Jun Lee (6) Geon-hyeong Kim (6) Wonseok Jeon (5) Hongseok Yang (4) Juhong Min (3) Seokin Seo (3) Pieter Abbeel (3)

Keywords

stationary distribution (5) offline reinforcement learning (5) policy optimization (4) convolutional neural network (4) reinforcement learning (3) monte-carlo tree search (3) variational inference (2) probabilistic rule (2) recurrent neural network (2) semantic correspondence (2) image matching (2) markov decision process (2) monte carlo tree search (2) spoken dialogue system (2) policy learning (2) dialogue state tracking (2) convex optimization (1) divergence minimization (1) contrastive learning (1) transformer architecture (1)

Papers

A Paradigm Shift in High-Resolution Depth Estimation Using SPAD-Based LiDAR Histograms: From Signal Filtering to Lightweight Similarity Learning AAAI 2026 Dense-SfM: Structure from Motion with Dense Consistent Matching CVPR 2025 Near-Optimal Sample Complexity for MDPs via Anchoring ICML 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation ICLR 2025 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NIPS 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning CORL 2024 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction NIPS 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 MFOS: Model-Free & One-Shot Object Pose Estimation AAAI 2024 Motion-Aware Heatmap Regression for Human Pose Estimation in Videos IJCAI 2024 ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making NIPS 2024 Tempo Adaptation in Non-stationary Reinforcement Learning NIPS 2023 Accelerating Value Iteration with Anchoring NIPS 2023 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NIPS 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NIPS 2023 Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations ICLR 2022 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NIPS 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022 GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems ICLR 2022 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022 COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021 Monte-Carlo Planning and Learning with Language Action Value Estimates ICLR 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NIPS 2021 Learning to Compose Hypercolumns for Visual Correspondence ECCV 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Reinforcement Learning for Control with Multiple Frequencies NIPS 2020 Trust Region Sequential Variational Inference ACML 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019 Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features ICCV 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules IJCNLP 2019 Monte-Carlo Tree Search for Constrained POMDPs NIPS 2018 Attentive Semantic Alignment with Offset-Aware Correlation Kernels ECCV 2018 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 Bayesian Reinforcement Learning with Behavioral Feedback IJCAI 2016