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Differentiable Ranks and Sorting using Optimal Transport

28 May 2019

Papers citing "Differentiable Ranks and Sorting using Optimal Transport"

50 / 104 papers shown

Title
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection Matthew Werenski Shoaib Bin Masud James M. Murphy Shuchin Aeron 72 4 0 15 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 106 22 0 02 Feb 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 102 13 0 05 Jan 2023
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 119 71 0 11 Nov 2022
Deep Differentiable Logic Gate Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen AI4CE 65 29 0 15 Oct 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 106 15 0 06 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 136 27 0 04 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 327 344 0 11 Sep 2022
The derivatives of Sinkhorn-Knopp converge Edouard Pauwels Samuel Vaiter 77 6 0 26 Jul 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 121 9 0 24 Jun 2022
Rethinking Initialization of the Sinkhorn Algorithm James Thornton Marco Cuturi OT 74 12 0 15 Jun 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 119 32 0 15 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression Yu Gong Greg Mori Frederick Tung 80 45 0 30 May 2022
Spartan: Differentiable Sparsity via Regularized Transportation Kai Sheng Tai Taipeng Tian Ser-Nam Lim 69 11 0 27 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 87 24 0 13 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 146 54 0 12 May 2022
Relevance-based Margin for Contrastively-trained Video Retrieval Models Alex Falcon Swathikiran Sudhakaran G. Serra Sergio Escalera Oswald Lanz 91 9 0 27 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 67 30 0 02 Apr 2022
Weakly-Supervised End-to-End CAD Retrieval to Scan Objects T. Beyer Angela Dai 3DPC 53 4 0 24 Mar 2022
Monotonic Differentiable Sorting Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 71 26 0 17 Mar 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 203 106 0 28 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 91 20 0 04 Jan 2022
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe Thibault Séjourné Franccois-Xavier Vialard Gabriel Peyré OT 130 19 0 03 Jan 2022
Efficient Video Transformers with Spatial-Temporal Token Selection Junke Wang Xitong Yang Hengduo Li Li Liu Zuxuan Wu Yu-Gang Jiang ViT 68 67 0 23 Nov 2021
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 233 90 0 18 Oct 2021
Learning with Algorithmic Supervision via Continuous Relaxations Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen CLL 108 27 0 11 Oct 2021
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara Soumik Sarkar Baskar Ganapathysubramanian A. Krishnamurthy Chinmay Hegde 58 4 0 04 Oct 2021
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 46 20 0 15 Jun 2021
Structured Reordering for Modeling Latent Alignments in Sequence Transduction Bailin Wang Mirella Lapata Ivan Titov BDL 88 20 0 06 Jun 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach Ahmed Abbas Paul Swoboda 53 14 0 06 Jun 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 103 30 0 09 May 2021
NURBS-Diff: A Differentiable Programming Module for NURBS Anjana Prasad Aditya Balu Harshil S. Shah Soumik Sarkar Chinmay Hegde A. Krishnamurthy 54 22 0 29 Apr 2021
Differentiable Patch Selection for Image Recognition Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner 103 96 0 07 Apr 2021
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 Philipp Andelfinger 134 14 0 23 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking Andrew N. Carr Quentin Berthet Mathieu Blondel O. Teboul Neil Zeghidour SSL 75 25 0 17 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review Mateusz Jurewicz Leon Derczynski BDL 63 10 0 17 Mar 2021
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric M. Pegoraro Mario Beraha 18 15 0 22 Jan 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
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 55 72 0 29 Oct 2020
Towards Safe Policy Improvement for Non-Stationary MDPs Yash Chandak Scott M. Jordan Georgios Theocharous Martha White Philip S. Thomas OffRL 132 34 0 23 Oct 2020
Sufficient dimension reduction for classification using principal optimal transport direction Cheng Meng Jun Yu Jingyi Zhang Ping Ma Wenxuan Zhong 55 16 0 19 Oct 2020
Action sequencing using visual permutations Michael G. Burke Kartic Subr S. Ramamoorthy LRM 42 4 0 03 Aug 2020
SoftSort: A Continuous Relaxation for the argsort Operator S. Prillo Julian Martin Eisenschlos ODL 72 68 0 29 Jun 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 127 7 0 24 Jun 2020
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 87 31 0 19 Jun 2020
Differentiable Greedy Submodular Maximization: Guarantees, Gradient Estimators, and Applications Shinsaku Sakaue 22 0 0 06 May 2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds Gopal Sharma Difan Liu Subhransu Maji E. Kalogerakis S. Chaudhuri Radomír Mvech 3DPC 95 144 0 26 Mar 2020
Variational Wasserstein Barycenters for Geometric Clustering Liang Mi 21 3 0 24 Feb 2020
Fast Differentiable Sorting and Ranking Mathieu Blondel O. Teboul Quentin Berthet Josip Djolonga 212 235 0 20 Feb 2020