Kimin Lee
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
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- Reinforcement Learning in Robotics 7
- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Data Classification 5
- Adversarial Robustness in Machine Learning 3
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- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Co-authors
- Jinwoo Shin (13 shared papers)Pieter Abbeel (7 shared papers)Honglak Lee (4 shared papers)Kibok Lee (4 shared papers)Fangchen Liu (2 shared papers)Song Chong (4 shared papers)Bo Li (2 shared papers)Sukmin Yun (3 shared papers)
- Journals
- BMC Complementary and Alternative Medicine (1 paper)IEEE/ACM Transactions on Networking (1 paper)Seoul National University Open Repository (Seoul National University) (1 paper)International Conference on Learning Representations (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Kimin Lee
28 papers receiving 197 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 115
- Computer Vision and Pattern Recognition 60
- Computational Mathematics 1
- Automotive Engineering 12
- Media Technology 8
Countries citing papers authored by Kimin Lee
This map shows the geographic impact of Kimin Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kimin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimin Lee more than expected).
Fields of papers citing papers by Kimin Lee
This network shows the impact of papers produced by Kimin Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kimin Lee. The network helps show where Kimin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimin Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 28 | |
| 2 | 2012 | 24 | |
| 3 | 2022 | 20 | |
| 4 | Learning to Specialize with Knowledge Distillation for Visual Question Answering | 2018 | 16 |
| 5 | 2021 | 16 | |
| 6 | 2018 | 15 | |
| 7 | Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning | 2020 | 12 |
| 8 | 2019 | 10 | |
| 9 | Reinforcement Learning with Augmented Data | 2020 | 9 |
| 10 | Confident multiple choice learning | 2017 | 9 |
| 11 | 2022 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2016 | 5 | |
| 14 | Making Stochastic Neural Networks from Deterministic Ones | 2017 | 5 |
| 15 | 2016 | 4 | |
| 16 | A Simple Randomization Technique for Generalization in Deep Reinforcement Learning | 2019 | 3 |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | Robust Determinantal Generative Classifier for Noisy Labels and Adversarial Attacks | 2018 | 2 |
About Kimin Lee
Kimin Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Instrumentation, having authored 31 papers that have together received 211 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Data Classification (5 papers), Adversarial Robustness in Machine Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Data Management and Algorithms (2 papers), Advanced Wireless Network Optimization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Artificial Intelligence (115 citations), Computer Vision and Pattern Recognition (60 citations), Computational Mathematics (1 citation), Automotive Engineering (12 citations) and Media Technology (8 citations). Kimin Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jinwoo Shin, Pieter Abbeel, Honglak Lee, Kibok Lee, Fangchen Liu, Song Chong, Bo Li, Sukmin Yun, Bohyung Han and Jonghwan Mun. Their work appears in journals such as BMC Complementary and Alternative Medicine, IEEE/ACM Transactions on Networking, Seoul National University Open Repository (Seoul National University), International Conference on Learning Representations and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.