Impact of Aliasing on Generalization in Deep Convolutional Networks

7 August 2021

Nicolas Le Roux

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

22 / 22 papers shown

Title
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 43 105 0 21 Aug 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 242 1,715 0 29 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 52 152 0 25 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 68 125 0 21 Jun 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 197 24 0 20 Mar 2020
A Corrective View of Neural Networks: Representation, Memorization and Learning Guy Bresler Dheeraj M. Nagaraj MLT 41 18 0 01 Feb 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 75 1,293 0 05 Dec 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 179 3,458 0 30 Sep 2019
A Fourier Perspective on Model Robustness in Computer Vision Dong Yin Raphael Gontijo-Lopes Jonathon Shlens E. D. Cubuk Justin Gilmer OOD 50 494 0 21 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 48 241 0 18 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 70 17,950 0 28 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 72 794 0 25 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 88 3,399 0 28 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 109 614 0 07 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 71 1,693 0 13 Feb 2019
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 54 559 0 30 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 85 1,764 0 24 May 2018
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 77 3,666 0 08 Jun 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 264 7,286 0 13 Jun 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 267 10,149 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 952 39,383 0 01 Sep 2014