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. 2002.08871
  4. Cited By
Fast Differentiable Sorting and Ranking
v1v2 (latest)

Fast Differentiable Sorting and Ranking

20 February 2020
Mathieu Blondel
O. Teboul
Quentin Berthet
Josip Djolonga
ArXiv (abs)PDFHTML

Papers citing "Fast Differentiable Sorting and Ranking"

21 / 71 papers shown
Title
Implicit Generative Copulas
Implicit Generative Copulas
Tim Janke
M. Ghanmi
F. Steinke
87
17
0
29 Sep 2021
Blindly Assess Quality of In-the-Wild Videos via Quality-aware
  Pre-training and Motion Perception
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Bowen Li
Weixia Zhang
Meng Tian
Guangtao Zhai
Xianpei Wang
97
124
0
19 Aug 2021
Grid Partitioned Attention: Efficient TransformerApproximation with
  Inductive Bias for High Resolution Detail Generation
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
Nikolay Jetchev
Gökhan Yildirim
Christian Bracher
Roland Vollgraf
21
0
0
08 Jul 2021
Universal Approximation of Functions on Sets
Universal Approximation of Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Michael A. Osborne
Ingmar Posner
PINN
273
62
0
05 Jul 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCVOOD
108
23
0
17 Jun 2021
Techniques for Symbol Grounding with SATNet
Techniques for Symbol Grounding with SATNet
Sever Topan
David Rolnick
X. Si
NAI
96
23
0
16 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit Differentiation
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
96
238
0
31 May 2021
ICON: Learning Regular Maps Through Inverse Consistency
ICON: Learning Regular Maps Through Inverse Consistency
Hastings Greer
Roland Kwitt
François-Xavier Vialard
Marc Niethammer
62
26
0
10 May 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
103
30
0
09 May 2021
Ranking the information content of distance measures
Ranking the information content of distance measures
Aldo Glielmo
C. Zeni
Bing Cheng
Gábor Csányi
Alessandro Laio
131
38
0
30 Apr 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
100
96
0
07 Apr 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D
  Object Detection
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar
Garrick Brazil
Xiaoming Liu
90
93
0
31 Mar 2021
Differentiable Agent-Based Simulation for Gradient-Guided
  Simulation-Based Optimization
Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization
Philipp Andelfinger
134
14
0
23 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with
  Differentiable Ranking
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Andrew N. Carr
Quentin Berthet
Mathieu Blondel
O. Teboul
Neil Zeghidour
SSL
72
25
0
17 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
F. Memarian
Wonjoon Goo
Rudolf Lioutikov
S. Niekum
Ufuk Topcu
OffRL
95
49
0
08 Mar 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting
PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin M. E. Swezey
Aditya Grover
Bruno Charron
Stefano Ermon
91
30
0
12 Dec 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak
Scott M. Jordan
Georgios Theocharous
Martha White
Philip S. Thomas
OffRL
129
34
0
23 Oct 2020
An Ode to an ODE
An Ode to an ODE
K. Choromanski
Jared Davis
Valerii Likhosherstov
Xingyou Song
Jean-Jacques E. Slotine
Jacob Varley
Honglak Lee
Adrian Weller
Vikas Sindhwani
85
31
0
19 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
97
88
0
15 Jun 2020
A mathematical model for automatic differentiation in machine learning
A mathematical model for automatic differentiation in machine learning
Jérôme Bolte
Edouard Pauwels
72
68
0
03 Jun 2020
Learning with Differentiable Perturbed Optimizers
Learning with Differentiable Perturbed Optimizers
Quentin Berthet
Mathieu Blondel
O. Teboul
Marco Cuturi
Jean-Philippe Vert
Francis R. Bach
94
109
0
20 Feb 2020
Previous
12