Why Regularized Auto-Encoders learn Sparse Representation?

Why Regularized Auto-Encoders learn Sparse Representation?

21 May 2015

Yingbo Zhou

Papers citing "Why Regularized Auto-Encoders learn Sparse Representation?"

10 / 10 papers shown

Title
Leveraging Decoder Architectures for Learned Sparse Retrieval Jingfen Qiao Thong Nguyen Evangelos Kanoulas Andrew Yates 56 0 0 25 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 55 0 0 27 Mar 2025
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Universal Solutions of Feedforward ReLU Networks for Interpolations Changcun Huang 20 2 0 16 Aug 2022
Semantic Autoencoder and Its Potential Usage for Adversarial Attack Yurui Ming Cuihuan Du Chin-Teng Lin AAML GAN DRL 24 0 0 31 May 2022
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
ML4Chem: A Machine Learning Package for Chemistry and Materials Science Muammar El Khatib W. A. Jong VLM 21 6 0 02 Mar 2020
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions A. Heydari Craig Thompson A. Mehmood 32 59 0 27 Dec 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012