applicable neural networks theory applied statistics artificial intelligence computer vision control theory and systems data mining data security and privacy protection evolutionary computing fuzzy logic fault d
Therefore, this paper proposes a lightweight and real-time framework based on neural architecture search, termed LRNAS. We developed a lightweight network search algorithm employing evolutionary strategies and multi-objective optimization to personalize designs for diverse vision tasks. To reduce inference...
Due to the limited computing resources of edge devices, it is essential to measure and analyze the performance of neural network models to ensure efficient use of these resources during inference on edge devices. However, most existing prediction techniques are based on the model or kernel operator...
(award 1918839), the Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS) consortium, the DTRA Discovery of Medical Countermeasures Against New and Emerging (DOMANE) threats program, the DARPA Accelerated Molecular Discovery program, the NSF AI Institute CCF-2112665 and the NSF Award ...
Predictive coding PC is a leading theory of cortical function that has previously been shown to explain a great deal of neurophysiological and psychophysical data. Here it is shown that PC can perform almost exact Bayesian inference when applied to computing with population codes. It is demonstrated...
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Guided Evolutionary Strategies: Escaping the curse of dimensionality in random search 社区问答 ...
These results show that SN P systems with self-organization are powerful computing models, i.e., they are capable of doing what Turing machine can do. Also, they provide potential and theoretical feasibility of using SN P systems to solve real-life problems, such as pattern recognition and ...
期刊信息 Neural Processing Letters (NPL) https://link.springer.com/journal/11063 影响因子: 2.600 出版商: Springer ISSN: 1370-4621 浏览: 20401 关注: 20 征稿 Aims and scope Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributi...
阅读PDFCCF-C 20473 被引用·6517 笔记 引用 AllenNLP: A Deep Semantic Natural Language Processing Platform Assessing BERT's Syntactic Abilities. Generating Sequences With Recurrent Neural Networks Efficient methods and hardware for deep learning
Young SR, Rose DC, Karnowsky TP, Lim S-H, Patton RM (2015) Optimizing deep learning hyper-parameters through an evolutionary algorithm. In: Proceedings of the workshop on machine learning in high-performance computing environments. https://doi.org/10.1145/2834892.2834896 Loshchilov I, Hutter ...