In: Larochelle H, Ranzato M, Hadsell R, Balcan M, Lin H (eds) Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, https://proceedings.neurips.cc/paper/2020/hash/e7023ba77a45f7e84...
Through comprehensive analysis and review, it was found that: (1) DL method has been widely used in the surface quality evaluation of sawn timber, and the research field mainly uses convolutional neural network (CNN) DL algorithms to carry out research on surface evaluation of sawn timber, and...
Recent Advances in Deep Learning for Object Detection Recurrent Scale Approximation for Object Detection in CNN Relation Networks for Object Detection Single-Shot Refinement Neural Network for Object Detection Shifeng ZhangLongyin WenXiao Bian...Stan Z. Li ...
www.nature.com/npjcompumats REVIEW ARTICLE OPEN Recent advances and applications of deep learning methods in materials science Kamal Choudhary 1,2,3 ✉, Brian DeCost 4, Chi Chen 5, Anubhav Jain 6, Francesca Tavazza 1, Ryan Cohn 7, Cheol Woo Park8, Alok Choudhary9, Ankit Agrawal9,...
Recent advances in conversational NLP : Towards the standardization of Chatbot building的简单翻译,尽管写的怪怪的~比较重要的内容是:(1)对话领域缺乏很好甚至说公认的数据集;(2)对话领域缺乏通用框架或者平台(类似于tensorflow等)很多造轮子的底层coding工作;(3)对话领域缺乏行之有效的评估指标;(4)简要分析了目前...
Recent advances and applications of deep learning, electroencephalography, and modern analysis techniques in screening, evaluation, and mechanistic analysi... Recent advances and applications of deep learning, electroencephalography, and modern analysis techniques in screening, evaluation, and mechanistic ...
We have implemented this updated representation in subsequent versions of selfies, where we have also made major advances with respect to design, efficiency, and supported features. Hence, we present the current status of selfies (version 2.1.1) in this manuscript. Our library, selfies, is ...
in atomistic prediction in particular. In contrast, advances in image and spectral data have largely leveraged synthetic data enabled by high-quality forward models as well as by generative unsupervised DL methods. In this article, we present a high-level overview of deep learning methods followed ...
Abstract This article summarizes the progress made in predictability studies of weather and climate in recent years in China, with a main focus on advances in methods to study error growth dynamics and reduce uncertainties in the forecasting of weather and climate. Specifically, it covers (a) adva...
The work has a number of implications going forward. Though deep learning is actively being applied in the world, this has so far occurred without a comprehensive underlying theory. A theory of deep learning that explains why and how deep networks work, and what their limitations are, will lik...