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Monotonic Differentiable Sorting Networks

Monotonic Differentiable Sorting Networks

17 March 2022
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
ArXivPDFHTML

Papers citing "Monotonic Differentiable Sorting Networks"

14 / 14 papers shown
Title
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
Jiacen Xu
Chenang Li
Yu Zheng
Zhou Li
FedML
AAML
105
0
0
18 Mar 2025
Learning Cascade Ranking as One Network
Learning Cascade Ranking as One Network
Yunli Wang
Zhenru Zhang
Ziyi Wang
Zhiyong Yang
Yunshui Li
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
81
0
0
12 Mar 2025
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
273
30,109
0
01 Mar 2022
Learning with Algorithmic Supervision via Continuous Relaxations
Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
CLL
54
26
0
11 Oct 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking
  Supervision
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
83
30
0
09 May 2021
Differentiable Patch Selection for Image Recognition
Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
67
95
0
07 Apr 2021
Fast Differentiable Sorting and Ranking
Fast Differentiable Sorting and Ranking
Mathieu Blondel
O. Teboul
Quentin Berthet
Josip Djolonga
176
231
0
20 Feb 2020
Differentiable Ranks and Sorting using Optimal Transport
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi
O. Teboul
Jean-Philippe Vert
OT
81
158
0
28 May 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover
Eric Wang
Aaron Zweig
Stefano Ermon
55
174
0
21 Mar 2019
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
79
272
0
23 Feb 2018
A Continuous Relaxation of Beam Search for End-to-end Training of Neural
  Sequence Models
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal
Graham Neubig
Chris Dyer
Taylor Berg-Kirkpatrick
3DV
74
40
0
01 Aug 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Multi-digit Number Recognition from Street View Imagery using Deep
  Convolutional Neural Networks
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay D. Shet
97
719
0
20 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
212
4,259
0
04 Jun 2013
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