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

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

R…

• 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
…

• 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 improveme…

• Date

  2021.05.06

• Speaker

  김주헌

Topic:
Evolving domain adaptation

Keywords:
meta-learning
domain adaptaion
continual domain shift

Reference:
Hong Liu, Mingsheng Long∗, Jianmin Wan…

• Date

  2021-04-08

• Speaker

  김현호

Keyword: class imbalance, oversampling, extreme imbalance

• Date

  2021-04-08

• Speaker

  이주형

DICE : DEEP SIGNIFICANCE CLUSTERING FOR OUTCOME-AWARE STRATIFICATION

• Date

  2021.03.18

• Speaker

  한민석

- Fully-convolutional siamese networks for object tracking

- Luca Bertinetto & Jack Valmadre
- university of oxford

- object tracking

• Date

  2021.03.11

• Speaker

  이재민