기존 제약식 기반에서 로스함수 기반으로 변경 4개의 실제 데이터셋에 대한 실험 추가
2022-04-28
김태흥
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, …
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:…
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…
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 di…
2022.02.09
Topic: LassoNet : A Neural Network with Feature Sparsity Keywords: interpretable deep learning, generalized model, regression model, variable selection…
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…
