ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1311.4025
  4. Cited By
Signal Recovery from Pooling Representations

Signal Recovery from Pooling Representations

16 November 2013
Joan Bruna
Arthur Szlam
Yann LeCun
ArXivPDFHTML

Papers citing "Signal Recovery from Pooling Representations"

15 / 15 papers shown
Title
Privacy for Free: How does Dataset Condensation Help Privacy?
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong
Bo Zhao
Lingjuan Lyu
DD
24
113
0
01 Jun 2022
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via
  Nonlinear Neighborhood Aggregators
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators
Beibei Wang
Bo Jiang
AI4CE
11
2
0
18 Feb 2022
AdaPool: Exponential Adaptive Pooling for Information-Retaining
  Downsampling
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Alexandros Stergiou
R. Poppe
34
78
0
01 Nov 2021
Refining activation downsampling with SoftPool
Refining activation downsampling with SoftPool
Alexandros Stergiou
R. Poppe
Grigorios Kalliatakis
32
158
0
02 Jan 2021
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
24
26
0
15 Jun 2020
Towards Learning a Self-inverse Network for Bidirectional Image-to-image
  Translation
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation
ZENGMING SHEN
Yifan Chen
S. Kevin Zhou
Bogdan Georgescu
Xuqi Liu
Thomas S. Huang
SSL
MedIm
21
1
0
09 Sep 2019
Hartley Spectral Pooling for Deep Learning
Hartley Spectral Pooling for Deep Learning
Huan Zhang
Jianwei Ma
23
24
0
07 Oct 2018
Detail-Preserving Pooling in Deep Networks
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
58
90
0
11 Apr 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
35
332
0
20 Feb 2018
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
22
412
0
18 Jul 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
A. Gilbert
Yi Zhang
Kibok Lee
Y. Zhang
Honglak Lee
11
64
0
24 May 2017
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
22
499
0
16 Mar 2016
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
20
323
0
18 Nov 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
43
187
0
30 Apr 2015
On the Stability of Deep Networks
On the Stability of Deep Networks
Raja Giryes
Guillermo Sapiro
A. Bronstein
48
14
0
18 Dec 2014
1