Pooling is neither necessary nor sufficient for appropriate deformation
stability in CNNs

v1v2 (latest)

Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs

12 April 2018

Avraham Ruderman

Neil C. Rabinowitz

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Papers citing "Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs"

18 / 18 papers shown

Title
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification Ashish Seth Ramaneswaran Selvakumar Sonal Kumar Sreyan Ghosh Dinesh Manocha VLM 74 0 0 19 Oct 2024
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities Chengkun Sun Jinqian Pan Juoli Jin Russell Stevens Terry Jiang Bian Jie Xu 92 0 0 20 Sep 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini Matthieu Wyart BDL 159 7 0 16 Apr 2024
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 140 10 0 05 Apr 2023
A Structural Approach to the Design of Domain Specific Neural Network Architectures Gerrit Nolte 73 0 0 23 Jan 2023
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 119 17 0 24 Oct 2022
How deep convolutional neural networks lose spatial information with training Umberto M. Tomasini Leonardo Petrini Francesco Cagnetta Matthieu Wyart 95 11 0 04 Oct 2022
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini Francesco Cagnetta Eric Vanden-Eijnden Matthieu Wyart MLT 143 29 0 24 Jun 2022
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 127 15 0 06 May 2021
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 200 75 0 28 Nov 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 313 125 0 22 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers Christoph Kamann Burkhard Güssefeld Robin Hutmacher J. H. Metzen Carsten Rother 87 20 0 12 Oct 2020
Benchmarking the Robustness of Semantic Segmentation Models Christoph Kamann Carsten Rother VLM UQCV 174 171 0 14 Aug 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 240 826 0 25 Apr 2019
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks Yash Upadhyay Paul Schrater GAN MedIm 64 20 0 11 Jun 2018
Semantic Network Interpretation Pei Guo Ryan Farrell MILM FAtt 61 0 0 23 May 2018
Opening the black box of deep learning Dian Lei Xiaoxiao Chen Jianfei Zhao AI4CE PINN 80 28 0 22 May 2018
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition Pei Guo Ryan Farrell 95 33 0 27 Jan 2018