Keywords: mixup, imbalance, data augmentation

1. mixup 소개 및 분석
2. mixup 관련 연구 소개
3. 새로운 방법론 제시 및 피드백

• Date

  2022-02-16

• Speaker

  이주형

Keywords : Domain Knowledge, Neural Networks, Lattice Regression

머신러닝에 도메인지식을 결합.

1. 뉴럴 네트워크의 목적함수에 도메인지식을 반영

2. Lattice Regression의 정의 및 도메인지식을 반영

[이 게시물은 관리자님에 의해 2022-02-16 16:46:55 Semin…

• Date

  2022-02-16

• Speaker

  김태흥

Topic:
Transfer Learning with Dynamic Distribution Adaptation

Keywords:
Transfer learning
Domain adaptation
Distribution alignment
Deep learning
Subspace learning
Kernel method

Reference:…

• 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

Paper Review

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

• Date

  2022.01.19

• Speaker

  이재민

Introduction of Knowledge distillation
keyword : knowledge distillation, deep learning, model compression

• Date

  2022.01.12

• Speaker

  김태욱

Topic:
Balanced Distribution Adaptation for Transfer Learning

Keywords:
Transfer learning
Domain adaptation
Distribution adaptation
Class imbalance

Reference:
J. Wang, Y. Chen, S. Hao, W. …

• Date

  2022.01.12

• Speaker

  김주헌

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

Topic :
OOD(Out-of_Distribution) sample detection

Area :
Anomaly detection
Deep learning (Object detection, NLP, etc.)

Details :
two paper reviews
1. A Baseline for Detecting Misclassife…

• Date

  21.05.21

• Speaker

  이재민

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

• Date

  2021-05-13

• Speaker

  이주형

Topic:
Practical Bayesian Optimization of Machine Learning Algorithms

Keywords:
Bayesian optimization
Hyperparameter
Gaussian process
Expected improvement

Reference:
J. Snoek, H. Larochell…

• Date

  2021.05.06

• Speaker

  김주헌

Topic:
Evolving domain adaptation

Keywords:
meta-learning
domain adaptaion
continual domain shift

Reference:
Hong Liu, Mingsheng Long∗, Jianmin Wang and Yu Wang, "Learning to Adapt to Evo…

• Date

  2021-04-08

• Speaker

  김현호