[Weight Uncertainty in Neural Networks] 설명
Blundell, Charles, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra. "Weight uncertainty in neural network." In International conference on machine learning, pp. 1613-1622. PMLR, 2015.
Видео [Weight Uncertainty in Neural Networks] 설명 канала Gyeongho Kim
Видео [Weight Uncertainty in Neural Networks] 설명 канала Gyeongho Kim
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
[PT4AL: Using Self-supervised Pretext Tasks for Active Learning] 설명[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds] 설명[Big self supervised models are strong semi-supervised learners] 설명가허니 골[Averaging weights leads to wider optima and better generalization] 설명[Sharpness-aware minimization for efficiently improving generalization] 설명[Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling] - 설명 FlexMatch[A Simple Baseline for Bayesian Uncertainty in Deep Learning] 설명[Active learning for convolutional neural networks: A core set approach] 설명[Neural Machine Translation By Jointly Learning to Align and Translate] , 어텐션 설명 Explanation[Learning loss for active learning] 설명후쿠오카 캐널시티 분수쇼[Gradient episodic memory for continual learning] 설명[Lifelong Learning with Dynamically Expandable Networks] 설명 Continual Learning, LifeLong Learning왈라비[Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning] 설명[Attention Is All You Need] - Transformer 트랜스포머 설명[LightGBM: A Highly Efficient Gradient Boosting Decision Tree] 김경호[What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision] 설명[Going Deeper with Convolutions] 설명 Inception, GoogLeNet