Thesis

No. Subject
29 Mingi Ji, Feature Based Knowledge Distillation for Image Recognition, Ph.D Thesis, Department of Industrial and Systems Engineering, KAIST, 2022 file
28 DongHyeok Shin, Dataset Distillation via Loss Approximation for Continual Learning, Master's Thesis, Department of Industrial and Systems Engineering, KAIST, 2022 file
27 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 file
26 Kyu Seok Kim, Deep Hierarchical Clustering with Dirichlet Forest Prior, KAIST, 2021 file
25 Kyungwoo Song, Context-Aware Model with Generalized Structured Gate and Attention, KAIST, 2021 file
24 Byeonghu Na, Deep Generative Positive-Unlabeled Learning under Selection Bias, KAIST, 2021 file
23 Hyemi Kim, Counterfactual Inference and Counterfactual Data Generation through Latent Disentanglement, KAIST, 2020 file
22 Weonyoung Joo, Pathwise Gradient Estimators for Various Probability Distributions in Deep Generative Models, KAIST, 2020 file
21 Seungjae Shin, Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation, KAIST, 2020 file
20 Minjae Jung, Air Combat Basic System Model for Learning Engagement, KAIST, 2020 file
19 JoonHo Jang, Mask Modeling for Attention Mechanism in Sentiment Analysis, KAIST, 2019 file
18 Su-Jin Shin, Hierarchical Mixture Modelings for Different Types of Data: A Nonparametric Bayesian Approach, Ph.D. Thesis, Department of Industrial and Systems Engineering, KAIST, 2019 file
17 Yoon-Yeong Kim,Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles, KAIST, 2018 file
16 Sungrae Park,Adversarial dropout for deep neural networks, KAIST, 2018 file
15 Wonsung Lee, Deep Generative Models for Collaborative Filtering with Multi-Source and High Dimensional Data, KAIST, 2018 file
14 Mingi Ji, Earthwork Planning in Various Environment via Reinforcement Learning, Master Thesis, Department of Industrial and Systems Engineering, KAIST, 2018 file
13 JunKeon Park, Dynamic Topic Modeling with Neural Variational Inference, Master Thesis, Department of Industrial and Systems Engineering, KAIST, 2018 file
12 Do-Hyeong Kim, Imitation Leanring for Different Player Style using Generative Adversarial Networks , Master Thesis, Department of Industrial and Systems Engineering, KAIST, 2018 file
11 Kyungwoo Song, Deep Ideal Point Estimation with Network, Master Thesis, Department of Industrial and Systems Engineering, KAIST, 2017 file
10 Do-Yun Kim, Inverse Modeling of Combat Behavior with Virtual-Constructive Simulation Training, Master Thesis, Department of Industrial and Systems Engineering, KAIST, 2016 file
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