conftrace_

linear autoencoder

7 papers

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Co-occurring keywords

principal component analysis (316) representation learning (6206) denoising autoencoder (102) gradient descent (1144) dimensionality reduction (720) pre-training technique (2) weight initialization (50) learning dynamics (75) weight decay (50) linear model (94)

Papers

Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020
Regularized linear autoencoders recover the principal components, eventually NIPS 2020
Autoencoders that don't overfit towards the Identity NIPS 2020
Loss Landscapes of Regularized Linear Autoencoders ICML 2019
Learning Dynamics of Linear Denoising Autoencoders ICML 2018
Pre-training of Recurrent Neural Networks via Linear Autoencoders NIPS 2014