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. 2105.04019
  4. Cited By
Differentiable Sorting Networks for Scalable Sorting and Ranking
  Supervision
v1v2 (latest)

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision

9 May 2021
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
ArXiv (abs)PDFHTML

Papers citing "Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision"

12 / 12 papers shown
Title
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
95
0
0
12 Mar 2025
Fast Differentiable Sorting and Ranking
Fast Differentiable Sorting and Ranking
Mathieu Blondel
O. Teboul
Quentin Berthet
Josip Djolonga
194
234
0
20 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
565
42,639
0
03 Dec 2019
Differentiable Ranks and Sorting using Optimal Transport
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi
O. Teboul
Jean-Philippe Vert
OT
86
159
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
74
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
106
272
0
23 Feb 2018
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
215
953
0
19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,347
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
111
2,333
0
20 Oct 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
126
720
0
20 Dec 2013
Ranking via Sinkhorn Propagation
Ranking via Sinkhorn Propagation
Ryan P. Adams
R. Zemel
108
148
0
09 Jun 2011
1