Park, Sejun

1. Layer-adaptive sparsity for the Magnitude-based Pruning
   2020/10/15 by Lee, Jaeho, Park, Sejun, Mo, Sangwoo +2 · 14 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
   2022/09/29 by Alireza Mousavi-Hosseini, Sejun Park, Mousavi-Hosseini, Alireza +7 · 11 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and ELM
3. Minimum Width for Universal Approximation
   2020/06/16 by Sejun Park, Chulhee Yun, Park, Sejun +5 · 7 citations
   Computer Science · Engineering · #Complexity and Algorithms in Graphs #Computational Geometry and Mesh Generation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #VLSI and FPGA Design Techniques
4. Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
   2020/07/17 by Jaehyung Kim, Youngbum Hur, Kim, Jaehyung +9 · 6 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
5. Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning
   2020/02/12 by Park, Sejun, Lee, Jaeho, Mo, Sangwoo +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
   2021/11/17 by Jongheon Jeong, Jeong, Jongheon, Sejun Park +9 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Learning Bounds for Risk-sensitive Learning
   2020/06/15 by Jaeho Lee, Lee, Jaeho, Sejun Park +3 · 4 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
8. Guiding Energy-based Models via Contrastive Latent Variables
   2023/03/06 by Lee, Hankook, Jeong, Jongheon, Park, Sejun +1 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Provable Memorization via Deep Neural Networks using Sub-linear Parameters
   2020/10/26 by Park, Sejun, Lee, Jaeho, Yun, Chulhee +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Minimum width for universal approximation using ReLU networks on compact domain
    2023/09/19 by Kim, Namjun, Min, Chanho, Park, Sejun · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Exact Topology and Parameter Estimation in Distribution Grids with\n Minimal Observability
    2017/10/29 by Sejun Park, Deepjyoti Deka, Park, Sejun +3 · 1 citation
    Engineering · #Electric Power System Optimization #FOS: Electrical engineering #Optimal Power Flow Distribution #Power System Optimization and Stability #Systems and Control (eess.SY) #electronic engineering #information engineering
12. On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic
    2024/08/30 by Yeachan Park, Sejun Park, Hwang, Geonho +3 · 1 citation
    Computer Science · #Neural Networks and Applications #Fuzzy Logic and Control Systems #Matrix Theory and Algorithms
13. A Kernel Perspective on Distillation-based Collaborative Learning
    2024/10/23 by Sejun Park, Park, Sejun, Kihun Hong +3 · 1 citation
    Psychology · #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG)