Shin, Seungjae

1. Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
   2021/03/15 by Ji, Mingi, Shin, Seungjae, Hwang, Seunghyun +2 · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
2. Loss-Curvature Matching for Dataset Selection and Condensation
   2023/03/08 by Seungjae Shin, Shin, Seungjae, Heesun Bae +7 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Neural Networks and Applications
3. Frequency Domain-based Dataset Distillation
   2023/11/15 by Donghyeok Shin, Seungjae Shin, Shin, Donghyeok +3 · 4 citations
   Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised\n Learning
   2021/10/20 by Hyuck Lee, Lee, Hyuck, Seungjae Shin +3 · 2 citations
   Computer Science · #Imbalanced Data Classification Techniques #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
5. From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
   2022/05/02 by Bae, HeeSun, Shin, Seungjae, Na, Byeonghu +3 · 2 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables
   2020/03/04 by Joo, Weonyoung, Kim, Dongjun, Shin, Seungjae +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
   2024/03/05 by Bae, HeeSun, Shin, Seungjae, Na, Byeonghu +1 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
   2020/11/24 by Kim, Hyemi, Shin, Seungjae, Jang, JoonHo +4 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
   2024/01/09 by Cho, Youngjae, Bae, HeeSun, Shin, Seungjae +3 · 1 citation
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs
    2025/06/10 by Lee, Jung Hyun, Shin, Seungjae, Kim, Vinnam +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)