Implicit Rank-Minimizing Autoencoder

1 October 2020

Papers citing "Implicit Rank-Minimizing Autoencoder"

8 / 8 papers shown

Title
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 115 0 0 04 Feb 2025
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 37 1 0 15 Dec 2023
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI Ayantika Das Arun Palla Keerthi Ram M. Sivaprakasam OOD 21 1 0 28 Nov 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization Kais Hariz Hachem Kadri Stéphane Ayache Maher Moakher Thierry Artières 28 2 0 18 Jul 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 50 5 0 19 Jan 2022
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 25 339 0 18 Oct 2021
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding L. Murn Saverio G. Blasi Alan F. Smeaton M. Mrak 40 15 0 16 Jun 2021
The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh H. Mobahi Richard Y. Zhang Brian Cheung Pulkit Agrawal Phillip Isola 30 110 0 18 Mar 2021