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Why Regularized Auto-Encoders learn Sparse Representation?

21 May 2015

Yingbo Zhou

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

23 / 23 papers shown

Title
Leveraging Decoder Architectures for Learned Sparse Retrieval Jingfen Qiao Thong Nguyen Evangelos Kanoulas Andrew Yates 77 0 0 25 Apr 2025
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? Tom Jacobs Chao Zhou R. Burkholz OffRL AI4CE 76 1 0 17 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 262 0 0 27 Mar 2025
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen Benjamin Wright Can Rager Rico Angell Jannik Brinkmann Logan Smith C. M. Verdun David Bau Samuel Marks 101 31 0 31 Jul 2024
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 41 0 0 03 Apr 2023
Universal Solutions of Feedforward ReLU Networks for Interpolations Changcun Huang 63 2 0 16 Aug 2022
Semantic Autoencoder and Its Potential Usage for Adversarial Attack Yurui Ming Cuihuan Du Chin-Teng Lin AAML GAN DRL 36 0 0 31 May 2022
Enhancing Unsupervised Anomaly Detection with Score-Guided Network Zongyuan Huang Baohua Zhang Guoqiang Hu Longyuan Li Yanyan Xu Yaohui Jin 63 16 0 10 Sep 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 105 3 0 04 Jan 2021
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 150 806 0 24 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Pseudo-Rehearsal for Continual Learning with Normalizing Flows Jary Pomponi Simone Scardapane A. Uncini 48 15 0 05 Jul 2020
Minimizing FLOPs to Learn Efficient Sparse Representations Biswajit Paria Chih-Kuan Yeh Ian En-Hsu Yen N. Xu Pradeep Ravikumar Barnabás Póczós 82 69 0 12 Apr 2020
ML4Chem: A Machine Learning Package for Chemistry and Materials Science Muammar El Khatib W. A. Jong VLM 30 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 64 63 0 27 Dec 2019
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck I. Manakov Markus Rohm Volker Tresp 43 9 0 18 Nov 2019
The Utility of Sparse Representations for Control in Reinforcement Learning Vincent Liu Raksha Kumaraswamy Lei Le Martha White 58 62 0 15 Nov 2018
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration Soham De Anirbit Mukherjee Enayat Ullah 77 101 0 18 Jul 2018
Autoencoders Learn Generative Linear Models THANH VAN NGUYEN Raymond K. W. Wong Chinmay Hegde DRL 51 4 0 02 Jun 2018
Understanding Autoencoders with Information Theoretic Concepts Shujian Yu José C. Príncipe AI4CE 132 135 0 30 Mar 2018
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community John E. Ball Derek T. Anderson Chee Seng Chan 78 521 0 01 Sep 2017
Sparse Coding and Autoencoders Akshay Rangamani Anirbit Mukherjee A. Basu T. Ganapathi Ashish Arora S. Chin T. Tran 112 20 0 12 Aug 2017
On Optimality Conditions for Auto-Encoder Signal Recovery Devansh Arpit Yingbo Zhou H. Ngo N. Napp V. Govindaraju 23 1 0 23 May 2016