← Authors

Jongmin Lee

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

Achievements

πŸ—ΊοΈ Taxonomy Completionist (61) 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (5) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (42) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (165) ⚑ Prolific Year (5) πŸ”₯ 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