Heesun Bae, Latent label generation can help improve classification performance degradation when learning with noisy labels, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2022
Kyu Seok Kim, Deep Hierarchical Clustering with Dirichlet Forest Prior, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2021
Kyungwoo Song, Context-Aware Model with Generalized Structured Gate and Attention, PhD Dissertation, Department of Industrial and Systems Engineering, KAIST, 2021
Hyemi Kim, Counterfactual Inference and Counterfactual Data Generation through Latent Disentanglement, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2020
Weonyoung Joo, Pathwise Gradient Estimators for Various Probability Distributions in Deep Generative Models, PhD Dissertation, Department of Industrial and Systems Engineering, KAIST, 2020
Seungjae Shin, Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2020
Minjae Jung, Air Combat Basic System Model for Learning Engagement, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2020
JoonHo Jang, Mask Modeling for Attention Mechanism in Sentiment Analysis, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2019
Su-Jin Shin, Hierarchical Mixture Modelings for Different Types of Data: A Nonparametric Bayesian Approach, PhD Dissertation, Department of Industrial and Systems Engineering, KAIST, 2019
Yoon-Yeong Kim, Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2018
Sungrae Park, Adversarial Dropout for Deep Neural Networks, PhD Dissertation, Department of Industrial and Systems Engineering, KAIST, 2018
Wonsung Lee, Deep Generative Models for Collaborative Filtering with Multi-Source and High Dimensional Data, PhD Dissertation, Department of Industrial and Systems Engineering, KAIST, 2018
Mingi Ji, Earthwork Planning in Various Environment via Reinforcement Learning, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2018
JunKeon Park, Dynamic Topic Modeling with Neural Variational Inference, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2018
Do-Hyeong Kim, Imitation Learning for Different Player Style using Generative Adversarial Networks, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2018