Kim, Kyung-Min

1. Scaling Law for Recommendation Models: Towards General-purpose User Representations
   2021/11/15 by Kyuyong Shin, Shin, Kyuyong, Su Young Kim +8 · 6 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
2. Direct Preference-based Policy Optimization without Reward Modeling
   2023/01/30 by Gaon An, Junhyeok Lee, An, Gaon +9 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Topic Modeling
3. Metropolis-Hastings Data Augmentation for Graph Neural Networks
   2022/03/26 by Park, Hyeonjin, Lee, Seunghun, Kim, Sihyeon +5 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
   2024/08/25 by Park, Jin-Duk, Kim, Kyung-Min, Shin, Won-Yong · 5 citations
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
5. Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
   2020/07/16 by Dasol Hwang, Jinyoung Park, Hwang, Dasol +9 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Text and Document Classification Technologies
6. HyperCLOVA X Technical Report
   2024/04/02 by Kang Min Yoo, Yoo, Kang Min, Jaegeun Han +480 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
7. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
   2020/06/26 by Young‐Jin Park, Kyuyong Shin, Park, Young-Jin +3 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques
8. Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
   2021/03/01 by Dasol Hwang, Hwang, Dasol, Jinyoung Park +9 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Domain Adaptation and Few-Shot Learning
9. One4all User Representation for Recommender Systems in E-commerce
   2021/05/24 by Shin, Kyuyong, Kwak, Hanock, Kim, Kyung-Min +4 · 1 citation
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
10. Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
    2024/10/15 by Ayush Jain, Norio Kosaka, Jain, Ayush +9 · 2 citations
    Decision Sciences · #Risk and Portfolio Optimization