任意不确定性用于捕捉观测中固有的噪声,而认知不确定性则通常是由于模型的认知偏差导致的,在给定足够数据后可以被解释。在传统的计算机视觉中,很难建模认知不确定性,但是新的贝叶斯深度学习使之成为可能。我们研究了在视觉任务中建模认知不确定和任意不确定的好处,并提出了一套贝叶斯深度学习框架,结合了与输入相关的认知...
论文阅读笔记:What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? xjtupanda 读论文,写代码33 人赞同了该文章 目录 收起 背景 度量深度神经网络中的不确定性 进一步建模数据不确定性 从回归拓展到分类场景 两种不确定性的特点与应用场景 参考文献 背景 在一些场景下,特别地如安...
The personal preferences of students in relation to how they process information in general (i.e. their level of need for cognition) may also be of importance. In this study, we examined the inter-relatedness of deep learning, need for cognition and preparation time, and scores on open- ...
Aleatoric Uncertainty关注模型对数据观测噪声的理解,而Epistemic Uncertainty则反映了模型对数据分布的不确定性。例如,模型能够识别训练数据中的简单与复杂部分,但对超出训练数据范围(OOD)的数据,仅依靠Aleatoric Uncertainty是不够的。作者提到了一些实现方法,如使用dropout进行MC Dropout以模拟模型不确定性...
How long does it take to train a deep-learning model? Training a deep-learning modelcan take from hours or weeks to months. The time varies widely, as it depends on factors such as the available hardware, optimization, the number of layers in the neural network, the network architecture, ...
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Welcome to part 4 of this series on deep learning. As you might have noticed there has been a slight delay between the first three entries and this post. The initial goal of this series was to write along with the fast.ai course on deep learning. However, the concepts of the later lec...
阅读量: 1845 作者: 朱玉霞 展开 摘要: 本文通过对"A friend in need"一文的分析,指出主人公Lenny Burton的溺水而亡是由于自己受当时社会习俗的影响,没有正经营生却赌博酗酒,陷于身心交瘁的境况,求助朋友Edward Burton,却是一个虚伪自私的商人,诱使其上当受骗,死于非命.说明了Lenny Burton的悲剧根源是他所生...
Graph Convolutional Networks (GCNs) have been drawing significant attention with the power of representation learning on graphs. Unlike Convolutional Neural Networks (CNNs), which are able to take advantage of stacking very deep layers, GCNs suffer from vanishing gradient, over-smoothing and over-fitt...
假设我们采样50次,不确定性的估计较难达到实时。改进方向为减少采样,或者不采用蒙特卡洛的方式做不确定性估计。 Learning in an Uncertain World:Representing Ambiguity Through Multiple Hypotheses。这篇文章或许不是从蒙特卡洛的角度阐述不确定性,详读后再写随笔。