LocoProp: Enhancing BackProp via Local Loss Optimization

11 June 2021

Papers citing "LocoProp: Enhancing BackProp via Local Loss Optimization"

7 / 7 papers shown

Title
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 76 0 0 04 Nov 2024
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint Ehsan Amid Manfred K. Warmuth 46 11 0 11 Sep 2019
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent Frederik Kunstner Lukas Balles Philipp Hennig 64 212 0 29 May 2019
Shampoo: Preconditioned Stochastic Tensor Optimization Vineet Gupta Tomer Koren Y. Singer ODL 68 214 0 26 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 216 8,807 0 25 Aug 2017
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 73 356 0 18 Aug 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 45 274 0 06 May 2016