Alden Dima,Sarah Lukens,Melinda Hodkiewicz et al.
Alden Dima et al.
Despite recent dramatic successes, Natural Language Processing (NLP) is not ready to address a variety of real-world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow he...
Visualizing and understanding inherent features in SD-OCT for the progression of age-related macular degeneration using deconvolutional neural networks [0.03%]
利用反卷积神经网络对年龄相关性黄斑变性的进展在SD-OCT中固有的特征进行可视化及理解
Sajib Saha,Ziyuan Wang,Srinivas Sadda et al.
Sajib Saha et al.
To develop a convolutional neural network visualization strategy so that optical coherence tomography (OCT) features contributing to the evolution of age-related macular degeneration (AMD) can be better determined. We have trained a U-Net m...
Anthony Bourached,Ryan-Rhys Griffiths,Robert Gray et al.
Anthony Bourached et al.
The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD). Here, we formulate a new OoD benchmark b...