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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
Ari S. Morcos
Daniel Zoran
ArXiv (abs)PDFHTML

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

18 / 18 papers shown
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio
  Classification
PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ashish Seth
Ramaneswaran Selvakumar
Sonal Kumar
Sreyan Ghosh
Dinesh Manocha
VLM
194
2
0
19 Oct 2024
Beyond Skip Connection: Pooling and Unpooling Design for Elimination
  Singularities
Beyond Skip Connection: Pooling and Unpooling Design for Elimination SingularitiesAAAI Conference on Artificial Intelligence (AAAI), 2024
Chengkun Sun
Jinqian Pan
Juoli Jin
Russell Stevens Terry
Jiang Bian
Jie Xu
195
1
0
20 Sep 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random
  Hierarchy Model
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto M. Tomasini
Matthieu Wyart
BDL
478
7
0
16 Apr 2024
What Affects Learned Equivariance in Deep Image Recognition Models?
What Affects Learned Equivariance in Deep Image Recognition Models?
Robert-Jan Bruintjes
Tomasz Motyka
Jan van Gemert
392
14
0
05 Apr 2023
A Structural Approach to the Design of Domain Specific Neural Network
  Architectures
A Structural Approach to the Design of Domain Specific Neural Network Architectures
Gerrit Nolte
193
0
0
23 Jan 2023
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
256
19
0
24 Oct 2022
How deep convolutional neural networks lose spatial information with
  training
How deep convolutional neural networks lose spatial information with training
Umberto M. Tomasini
Leonardo Petrini
Francesco Cagnetta
Matthieu Wyart
310
14
0
04 Oct 2022
Learning sparse features can lead to overfitting in neural networks
Learning sparse features can lead to overfitting in neural networksNeural Information Processing Systems (NeurIPS), 2022
Leonardo Petrini
Francesco Cagnetta
Eric Vanden-Eijnden
Matthieu Wyart
MLT
345
40
0
24 Jun 2022
Relative stability toward diffeomorphisms indicates performance in deep
  nets
Relative stability toward diffeomorphisms indicates performance in deep netsNeural Information Processing Systems (NeurIPS), 2021
Leonardo Petrini
Alessandro Favero
Mario Geiger
Matthieu Wyart
OOD
403
16
0
06 May 2021
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networksComputer Vision and Pattern Recognition (CVPR), 2020
Anadi Chaman
Ivan Dokmanić
494
87
0
28 Nov 2020
Rethinking pooling in graph neural networks
Rethinking pooling in graph neural networks
Diego Mesquita
Amauri Souza
Samuel Kaski
GNNAI4CE
572
141
0
22 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with
  Painting-by-Numbers
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann
Burkhard Güssefeld
Robin Hutmacher
J. H. Metzen
Carsten Rother
263
23
0
12 Oct 2020
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation ModelsInternational Journal of Computer Vision (IJCV), 2019
Christoph Kamann
Carsten Rother
VLMUQCV
388
196
0
14 Aug 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
514
935
0
25 Apr 2019
Generative Adversarial Network Architectures For Image Synthesis Using
  Capsule Networks
Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
Yash Upadhyay
Paul Schrater
GANMedIm
287
20
0
11 Jun 2018
Semantic Network Interpretation
Semantic Network Interpretation
Pei Guo
Ryan Farrell
MILMFAtt
196
0
0
23 May 2018
Opening the black box of deep learning
Opening the black box of deep learning
Dian Lei
Xiaoxiao Chen
Jianfei Zhao
AI4CEPINN
193
29
0
22 May 2018
Aligned to the Object, not to the Image: A Unified Pose-aligned
  Representation for Fine-grained Recognition
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition
Pei Guo
Ryan Farrell
278
38
0
27 Jan 2018
1
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