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Ranking via Sinkhorn Propagation

9 June 2011

Papers citing "Ranking via Sinkhorn Propagation"

36 / 86 papers shown

Title
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 103 30 0 09 May 2021
Deep Graph Matching under Quadratic Constraint Quankai Gao Fudong Wang Nan Xue Jin-Gang Yu Guisong Xia 77 37 0 11 Mar 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting Robin M. E. Swezey Aditya Grover Bruno Charron Stefano Ermon 91 30 0 12 Dec 2020
Efficient Transformers: A Survey Yi Tay Mostafa Dehghani Dara Bahri Donald Metzler VLM 204 1,133 0 14 Sep 2020
Action sequencing using visual permutations Michael G. Burke Kartic Subr S. Ramamoorthy LRM 42 4 0 03 Aug 2020
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes Lei Yang Wenxi Liu Zhiming Cui Nenglun Chen Wenping Wang 3DPC 37 16 0 19 Jul 2020
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization Hedda Cohen Indelman Tamir Hazan 48 8 0 11 Jul 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 101 88 0 15 Jun 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 90 113 0 25 Mar 2020
Sparse Sinkhorn Attention Yi Tay Dara Bahri Liu Yang Donald Metzler Da-Cheng Juan 97 341 0 26 Feb 2020
Fast Differentiable Sorting and Ranking Mathieu Blondel O. Teboul Quentin Berthet Josip Djolonga 212 235 0 20 Feb 2020
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
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 78 212 0 27 Jan 2020
Improved Structural Discovery and Representation Learning of Multi-Agent Data Jennifer Hobbs Matthew Holbrook Nathan Frank Long Sha P. Lucey AI4TS 38 5 0 30 Dec 2019
Multimodal Self-Supervised Learning for Medical Image Analysis Aiham Taleb C. Lippert T. Klein Moin Nabi SSL 91 98 0 11 Dec 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang Pengfei Sun Jin Tang Bin Luo 54 35 0 18 Nov 2019
Learning Index Selection with Structured Action Spaces Jeremy Welborn Michael Schaarschmidt Eiko Yoneki 32 10 0 16 Sep 2019
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning Saeed Ghorbani Ali Etemad N. Troje 30 21 0 31 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks Chirag Pabbaraju Prateek Jain 109 8 0 12 Jul 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 95 36 0 20 Jun 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 67 50 0 30 May 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 109 159 0 28 May 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 57 238 0 01 Apr 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 88 174 0 21 Mar 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 116 381 0 02 Mar 2019
Learning Representations of Sets through Optimized Permutations Yan Zhang Jonathon S. Hare Adam Prugel-Bennett SSL 81 25 0 10 Dec 2018
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions Masataro Asai 33 1 0 04 Dec 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs Irwan Bello Sayali Kulkarni Sagar Jain Craig Boutilier Ed H. Chi Elad Eban Xiyang Luo Alan Mackey Ofer Meshi 125 93 0 04 Oct 2018
Sinkhorn AutoEncoders Giorgio Patrini Rianne van den Berg Patrick Forré M. Carioni Samarth Bhargav Max Welling Tim Genewein Frank Nielsen DiffM 64 0 0 02 Oct 2018
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction Sebastian Ruder Ryan Cotterell Yova Kementchedjhieva Anders Søgaard 67 30 0 28 Aug 2018
Learning Permutations with Sinkhorn Policy Gradient Patrick Emami Sanjay Ranka 65 55 0 18 May 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 301 2,169 0 01 Mar 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 112 272 0 23 Feb 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 51 123 0 12 Feb 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 77 51 0 26 Oct 2017
DeepPermNet: Visual Permutation Learning Rodrigo Santa Cruz Basura Fernando A. Cherian Stephen Gould SSL 71 103 0 10 Apr 2017