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Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
20 February 2017
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
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Papers citing
"Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks"
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TaskNorm: Rethinking Batch Normalization for Meta-Learning
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An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
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AIBench: An Industry Standard Internet Service AI Benchmark Suite
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Incremental Concept Learning via Online Generative Memory Recall
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Hyperspherical Prototype Networks
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Elise van der Pol
Cees G. M. Snoek
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Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan
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Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning
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Super-Identity Convolutional Neural Network for Face Hallucination
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Normalization in Training U-Net for 2D Biomedical Semantic Segmentation
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Scalable Angular Discriminative Deep Metric Learning for Face Recognition
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Dynamic Few-Shot Visual Learning without Forgetting
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Jiahui Dai
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Low-Shot Learning with Imprinted Weights
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Matthew A. Brown
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59
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The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
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06 Aug 2017
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Feature Incay for Representation Regularization
Yuhui Yuan
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29 May 2017
Flow-Guided Feature Aggregation for Video Object Detection
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