Adaptively Truncating Backpropagation Through Time to Control Gradient Bias

17 May 2019

Papers citing "Adaptively Truncating Backpropagation Through Time to Control Gradient Bias"

9 / 9 papers shown

Title
Solid State Bus-Comp: A Large-Scale and Diverse Dataset for Dynamic Range Compressor Virtual Analog Modeling Yicheng Gu Runsong Zhang Lauri Juvela Zhikai Wu DiffM 183 0 0 06 Apr 2025
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu ... Xin Ning Yugui Zhang Baoli Lu Jian Xu Shuang Li 28 0 0 03 Jan 2024
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 29 9 0 04 Jul 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 67 0 27 Dec 2021
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System Logan Brown Reid Pezewski Jeremy Straub AILaw 23 2 0 05 Aug 2021
Fake News and Phishing Detection Using a Machine Learning Trained Expert System Benjamin Fitzpatrick X. Liang Jeremy Straub 32 6 0 04 Aug 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
Recurrent Quantum Neural Networks Johannes Bausch 21 151 0 25 Jun 2020