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Wee Sun Lee

53 papers · 2005–2025 · 17 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 5 separate collaboration groups - the largest holds only 49% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Wee Sun Lee?

3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with David Hsu, Nan Ye, Peter Karkus 26 papers · 2008–2025 · RSS, NeurIPS, CoRL Hide ▲
Learning to Search from Demonstration Sequences ICLR 2025 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 On the Empirical Complexity of Reasoning and Planning in LLMs EMNLP 2024 When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models ACL 2024 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning NeurIPS 2023 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial observations ICLR 2020 Particle Filter Recurrent Neural Networks AAAI 2020 DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces RSS 2019 Differentiable Algorithm Networks for Composable Robot Learning RSS 2019 LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019 HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018 Particle Filter Networks with Application to Visual Localization CoRL 2018 Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties RSS 2018 Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation CoRL 2017 QMDP-Net: Deep Learning for Planning under Partial Observability NeurIPS 2017 Tensor Belief Propagation ICML 2017 Adaptive Stochastic Optimization: From Sets to Paths NeurIPS 2015 Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation JMLR 2014 Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs RSS 2011 Domain adaptive bootstrapping for named entity recognition EMNLP 2009 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008
2 papers whose co-authors appear nowhere else under this name
Asian Conference on Machine Learning: Preface ACML 2019 Learning Semantic Classes for Word Sense Disambiguation ACL 2005

Venues · all papers under this name

RSS (8) NeurIPS (7) ACL (6) EMNLP (6) ICLR (5) ICML (4) CoRL (3) JMLR (2) CVPR (2) ACML (2) AAAI (2) EACL (1) ICCV (1) COLING (1) IJCAI (1) AISTATS (1) SemEval (1)