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. 모델의 clean accuracy, robustness, uncerta…
2022-05-12
이주형
CLeaR: An adaptive continual learning framework for regression tasks Regression 문제에 대한 New Task / Catastrophic forgetting의 정의 이를 해결하기 위한 Framework 제안
2022-04-28
김태흥
기존 제약식 기반에서 로스함수 기반으로 변경 4개의 실제 데이터셋에 대한 실험 추가
Fair Clustering Through Fairlets Chierichetti, Flavio, et al. "Fair clustering through fairlets." Advances in Neural Information Processing Systems 30 (2017).
2022.04.14
한민석
keyword : Out-of-distribution detection, metric learning, regularization, calibration
김태욱
Topic: Lockout : Sparse Regularization of Neural Networks Keywords: interpretable deep learning, Neural network, generalized model, Feature selection, Reference: Valdes, Gilmer, et al. "…
2022.04.08
김현호
Keyword: meta-learning, reweighting, biased data
2022-03-31
Topic: Transfer learning in manufacturing using artificial neural network: based on cases of injection molding and composites autoclave processing Keywords: Transfer learning Sequential unfreezi…
2022.03.31
김주헌
Weight의 제약식을 적용하여, 학습 Neural Networks가 비음의 도메인 지식을 반영할 수 있게 함.
2022-03-24
KDD'21 SIGKDD Best paper of 2021 - Applied data science track
2022.03.24
이재민
- Introduction of One-class classification and Out-of-Distribution Detection - "Entropic Out-of-Distribution Detection:Seamless Detection of Unknown Examples" paper review - Proposal
2022.03.02
Distance metric in high dimensionality - When is "nearest neighobr" meaningful? - On the surprising behavior of distance metrics in high dimensional space
Control system part 1. Automatic control system and PID controller
2022.02.16
Simple and scalable sparse k-means clustering via feature ranking - EM scheme 적용이 가능한 쉽고 빠른 k-means feature ranking 방법론 - High dimension에서, euclidean distance의 특징 및 분포에 관한 관찰
2022.02.09
Topic: LassoNet : A Neural Network with Feature Sparsity Keywords: interpretable deep learning, generalized model, regression model, variable selection, Lasso Reference: Lemhadri, Ismael…
2022.02.23
