[태그:] data augmentation
Posted in X-Review
[arXiv] SimCLR – A Simple Framework for Contrastive Learning of Visual Representations
rcvlab 04/24/2020 Leave a Comment on [arXiv] SimCLR – A Simple Framework for Contrastive Learning of Visual Representations
논문: A Simple Framework for Contrastive Learning of Visual Representations 이번 논문 포스트는 Google Research에서 발표한 SimCLR (Simple framework for Contrastive Learning of visual Representations)입니다….
Posted in X-Review
[arXiv] Adversarial Feature Selection for Training AutoML
논문: Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning System 이번 논문은 AutoML을 훈련시킬 때 training dataset과 test dataset의 분포와 특징이 달라서…
[arXiv] PPBA: Progressive Population Based Augmentation
논문: Improving 3D Object Detection through Progressive Population Based Augmentation 머신러닝 모델을 훈련할 때 성능을 높이기 위한 방법은 model structure 뿐만 아니라 data augmentation, optimizing,…
최신 댓글