Machine Learning on Sequential Data Using a Recurrent Weighted Average

3 March 2017

Papers citing "Machine Learning on Sequential Data Using a Recurrent Weighted Average"

9 / 9 papers shown

Title
TST: Time-Sparse Transducer for Automatic Speech Recognition Xiaohui Zhang Mangui Liang Zhengkun Tian Jiangyan Yi J. Tao 45 0 0 17 Jul 2023
Do RNN and LSTM have Long Memory? Jingyu Zhao Feiqing Huang Jia Lv Yanjie Duan Zhen Qin Guodong Li Guangjian Tian 134 145 0 06 Jun 2020
Can SGD Learn Recurrent Neural Networks with Provable Generalization? Zeyuan Allen-Zhu Yuanzhi Li MLT LRM 175 57 0 04 Feb 2019
State-Regularized Recurrent Neural Networks Cheng Wang Mathias Niepert 70 40 0 25 Jan 2019
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists Giancarlo D. Salton John D. Kelleher KELM RALM 140 6 0 10 Oct 2018
IGLOO: Slicing the Features Space to Represent Sequences Vsevolod Sourkov VLM 60 5 0 09 Jul 2018
RRA: Recurrent Residual Attention for Sequence Learning Cheng Wang 24 13 0 12 Sep 2017
Aggregating Frame-level Features for Large-Scale Video Classification Shaoxiang Chen Xi Wang Yongyi Tang Xinpeng Chen Zuxuan Wu Yu-Gang Jiang 73 22 0 04 Jul 2017
Efficiently applying attention to sequential data with the Recurrent Discounted Attention unit B. Maginnis Pierre Harvey Richemond AI4TS 29 1 0 23 May 2017