Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback

15 August 2017

Papers citing "Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback"

6 / 6 papers shown

Title
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications Fanglei Sun Yang Li Ying Wen Jin Hu Jun Wang Yang Yang Kai Li 29 1 0 22 May 2022
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis Lingwei Wei Dou Hu Wei Zhou Xuehai Tang Xiaodan Zhang Xin Wang Jizhong Han Songlin Hu 33 11 0 16 Jul 2020
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks Siming Yan Xuyang Fang Bowen Xiao Harold Rockwell Yimeng Zhang T. Lee SSL 21 7 0 22 Dec 2019
Distributed Iterative Gating Networks for Semantic Segmentation Rezaul Karim Md. Amirul Islam Neil D. B. Bruce 16 5 0 28 Sep 2019
Task-Driven Convolutional Recurrent Models of the Visual System Aran Nayebi Daniel M. Bear J. Kubilius Kohitij Kar Surya Ganguli David Sussillo J. DiCarlo Daniel L. K. Yamins 18 150 0 20 Jun 2018
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 158 789 0 24 Nov 2014