Impact of Aliasing on Generalization in Deep Convolutional Networks

Impact of Aliasing on Generalization in Deep Convolutional Networks

7 August 2021

C. N. Vasconcelos

Hugo Larochelle

Vincent Dumoulin

Nicolas Le Roux

Papers citing "Impact of Aliasing on Generalization in Deep Convolutional Networks"

9 / 9 papers shown

Title
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 23 150 0 05 Dec 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 24 5 0 09 Dec 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 14 34 0 06 Oct 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 14 13 0 09 May 2022
Exploration into Translation-Equivariant Image Quantization W. Shin Gyubok Lee Jiyoung Lee Eun-Young Lyou Joonseok Lee E. Choi 17 7 0 01 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation Lingdong Kong N. Quader Venice Erin Liong 8 48 0 30 Nov 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 11 1,556 0 23 Jun 2021
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 164 24 0 20 Mar 2020