Adjusting existing models for regional drift

VFDT / CVFDT

- A decision tree induction system capable of learning from high-speed data streams in an increm…

• Date

  2022-05-26

• Speaker

  한민석

Topic:
Neural Additive Models: Interpretable Machine Learning with Neural Nets


Keywords:
generalized additive model,
interpretable deep learning,
Neura…

• Date

  2022-05-18

• Speaker

  김현호

Keywords: data shift, data augmentation, robustness, uncertainty

1. 데이터의 작은 변화에도 모델의 예측 결과는 크게 변화 (Data Shift)
2. 다양한 augmentation 기법을 연쇄적으로 적용하고 mixup
3.…

• Date

  2022-05-12

• Speaker

  이주형

CLeaR: An adaptive continual learning framework for regression tasks

Regression 문제에 대한 New Task / Catastrophic forgetting의 정의

이를 해결하기 위한 Framework 제안

• Date

  2022-04-28

• Speaker

  김태흥

Fair Clustering Through Fairlets

Chierichetti, Flavio, et al. "Fair clustering through fairlets." Advances in Neural Information Processing Systems 30 (2017)…

• Date

  2022.04.14

• Speaker

  한민석

keyword : Out-of-distribution detection, metric learning, regularization, calibration

• Date

  2022.04.14

• Speaker

  김태욱

Topic:
Lockout : Sparse Regularization of Neural Networks

Keywords:
interpretable deep learning,
Neural network,
generalized model,
Feature selection,
…

• Date

  2022.04.08

• Speaker

  김현호

Topic:
Transfer learning in manufacturing using artificial neural network: based on cases of injection molding and composites autoclave processing

Keywords:…

• Date

  2022.03.31

• Speaker

  김주헌

Weight의 제약식을 적용하여, 학습 Neural Networks가 비음의 도메인 지식을 반영할 수 있게 함.

• Date

  2022-03-24

• Speaker

  김태흥

KDD'21
SIGKDD Best paper of 2021 - Applied data science track

• Date

  2022.03.24

• Speaker

  이재민

Distance metric in high dimensionality

- When is "nearest neighobr" meaningful?

- On the surprising behavior of distance metrics in high dimensional space

• Date

  2022.03.02

• Speaker

  한민석

Control system

part 1. Automatic control system and PID controller

• Date

  2022.02.16

• Speaker

  이재민