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
이주형
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
김태흥
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
김태욱
Distance metric in high dimensionality - When is "nearest neighobr" meaningful? - On the surprising behavior of distance metrics in high dimensional space
한민석
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
Keywords: mixup, imbalance, data augmentation 1. mixup 소개 및 분석 2. mixup 관련 연구 소개 3. 새로운 방법론 제시 및 피드백
2022-02-16
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…
Topic: Transfer Learning with Dynamic Distribution Adaptation Keywords: Transfer learning Domain adaptation Distribution alignment Deep learning Subspace learning Kernel method Reference:…
keyword : Clustering, deep self-evolution clustering, self-evolution clustering training, deep unsupervised learning
Distance function defined between probability distributions and Adversarial Distribution matching
2022.01.26
윤재섭