标题
Why Should We Add Early Exits to Neural Networks?
作者
关键词
-
出版物
Cognitive Computation
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-06-17
DOI
10.1007/s12559-020-09734-4
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications
- (2020) Enzo Baccarelli et al. INFORMATION SCIENCES
- Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
- (2019) Zhi Zhou et al. PROCEEDINGS OF THE IEEE
- Automatic Design of Deep Networks with Neural Blocks
- (2019) Guoqiang Zhong et al. Cognitive Computation
- Wireless Network Intelligence at the Edge
- (2019) Jihong Park et al. PROCEEDINGS OF THE IEEE
- On the information bottleneck theory of deep learning
- (2019) Andrew M Saxe et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
- (2019) Rana Ali Amjad et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning in the machine: Random backpropagation and the deep learning channel
- (2018) Pierre Baldi et al. ARTIFICIAL INTELLIGENCE
- Deep Visual Attention Prediction
- (2018) Wenguan Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning
- (2018) Paulo V. Klaine et al. Cognitive Computation
- Deep Cascade Learning
- (2018) Enrique S. Marquez et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep Supervised Learning Using Local Errors
- (2018) Hesham Mostafa et al. Frontiers in Neuroscience
- Mobile Edge Computing: A Survey on Architecture and Computation Offloading
- (2017) Pavel Mach et al. IEEE Communications Surveys and Tutorials
- The cascading neural network: building the Internet of Smart Things
- (2017) Sam Leroux et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A framework for parallel and distributed training of neural networks
- (2017) Simone Scardapane et al. NEURAL NETWORKS
- Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
- (2017) Enzo Baccarelli et al. IEEE Access
- Random synaptic feedback weights support error backpropagation for deep learning
- (2016) Timothy P. Lillicrap et al. Nature Communications
- Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks
- (2014) Sergio Barbarossa et al. IEEE SIGNAL PROCESSING MAGAZINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search