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
한민석
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
김현호
Keywords: mixup, imbalance, data augmentation 1. mixup 소개 및 분석 2. mixup 관련 연구 소개 3. 새로운 방법론 제시 및 피드백
2022-02-16
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…
김태흥
Topic: Transfer Learning with Dynamic Distribution Adaptation Keywords: Transfer learning Domain adaptation Distribution alignment Deep learning Subspace learning Kernel method Reference:…
김주헌
keyword : Clustering, deep self-evolution clustering, self-evolution clustering training, deep unsupervised learning
김태욱
Topic: LocalGLMnet : interpretable deep learning for tabular data Keywords: interpretable deep learning, generalized linear model, regression model, variable selection, attention layer, R…
2022.01.26
Paper Review Title: Unsupervised Deep Embedding for Clustering Analysis Authors: J. Xie, R.Girshick, A.Farhadi Year: 2016.
2022.01.19
이재민
Introduction of Knowledge distillation keyword : knowledge distillation, deep learning, model compression
2022.01.12
Topic: Balanced Distribution Adaptation for Transfer Learning Keywords: Transfer learning Domain adaptation Distribution adaptation Class imbalance Reference: J. Wang, Y. Chen, S. Hao, W. …
keyword: imbalance, oversampling, contrastive learning, generative model
22.01.12
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
2022.01.05
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…
21.05.21
keyword: imbalanced datasets, sampling, minority sampling, data augmentation, class imbalance
2021-05-13
Set_transformer_clustering
2021.05.06
