Topic:
Transfer Learning with Dynamic Distribution Adaptation

Keywords:
Transfer learning
Domain adaptation
Distribution alignment
Deep learning
Subspa…

• Date

  2022.02.09

• Speaker

  김주헌

keyword : Clustering, deep self-evolution clustering, self-evolution clustering training, deep unsupervised learning

• Date

  2022.02.09

• Speaker

  김태욱

Topic:
LocalGLMnet : interpretable deep learning for tabular data

Keywords:
interpretable deep learning,
generalized linear model,
regression model,
va…

• Date

  2022.01.26

• Speaker

  김현호

Paper Review

Title: Unsupervised Deep Embedding for Clustering Analysis
Authors: J. Xie, R.Girshick, A.Farhadi
Year: 2016.

• Date

  2022.01.19

• Speaker

  이재민

Topic:
Balanced Distribution Adaptation for Transfer Learning

Keywords:
Transfer learning
Domain adaptation
Distribution adaptation
Class imbalance

R…

• Date

  2022.01.12

• Speaker

  김주헌

keyword: imbalance, oversampling, contrastive learning, generative model

• Date

  22.01.12

• Speaker

  이주형

Transfer learning for product defect detection of new products under frequent product renewal : a die-casting case
빈번한 제품 경신 하에서 신제품 불량 탐지를 위한 전이학습 : 주조 공정 사례

• Date

  2022.01.05

• Speaker

  김지수

keyword: imbalanced datasets, sampling, minority sampling, data augmentation, class imbalance

• Date

  2021-05-13

• Speaker

  이주형

Set_transformer_clustering

• Date

  2021.05.06

• Speaker

  한민석

Topic:
Practical Bayesian Optimization of Machine Learning Algorithms

Keywords:
Bayesian optimization
Hyperparameter
Gaussian process
Expected improveme…

• Date

  2021.05.06

• Speaker

  김주헌

Keyword: class imbalance, oversampling, extreme imbalance

• Date

  2021-04-08

• Speaker

  이주형

Topic:
Sequential Parameter Optimization

Keywords:
Search heuristic
Parameter optimization
Evolutionary algorithm

Reference:
T. Bartz-Beielstein, C. …

• Date

  2021.03.25

• Speaker

  김주헌