Fast Differentiable Sorting and Ranking

20 February 2020

Papers citing "Fast Differentiable Sorting and Ranking"

23 / 23 papers shown

Title
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling Guillem Capellera Antonio Rubio Luis Ferraz Antonio Agudo 94 1 0 24 Mar 2025
Learning Cascade Ranking as One Network Yunli Wang Zhenru Zhang Ziyi Wang Zhiyong Yang Yunshui Li Jian Yang Shiyang Wen Peng Jiang Kun Gai 77 0 0 12 Mar 2025
Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation Jacob Gildenblat Jens Pahnke 355 1 0 10 Mar 2025
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 113 0 0 20 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 202 3 0 03 Nov 2024
Soft Condorcet Optimization for Ranking of General Agents Marc Lanctot Kate Larson Michael Kaisers Quentin Berthet I. Gemp Manfred Diaz Roberto-Rafael Maura-Rivero Yoram Bachrach Anna Koop Doina Precup 187 0 0 31 Oct 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 199 1 0 27 May 2024
Structured Prediction with Projection Oracles Mathieu Blondel 68 33 0 24 Oct 2019
Differentiable Ranks and Sorting using Optimal Transport Marco Cuturi O. Teboul Jean-Philippe Vert OT 69 158 0 28 May 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 53 173 0 21 Mar 2019
Learning with Fenchel-Young Losses Mathieu Blondel André F. T. Martins Vlad Niculae 131 133 0 08 Jan 2019
A Structured Prediction Approach for Label Ranking Anna Korba Alexandre Garcia Florence dÁlché-Buc 42 37 0 06 Jul 2018
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms Mathieu Blondel André F. T. Martins Vlad Niculae FedML 27 39 0 24 May 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 195 2,143 0 01 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 122 0 12 Feb 2018
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 413 18,334 0 27 May 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 164 719 0 05 Feb 2016
Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin Matthias Hein Bernt Schiele 139 96 0 01 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Bandit Online Optimization Over the Permutahedron Nir Ailon Kohei Hatano Eiji Takimoto 53 21 0 05 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 190 4,251 0 04 Jun 2013
Learning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach 127 477 0 28 Nov 2011
Ranking via Sinkhorn Propagation Ryan P. Adams R. Zemel 88 147 0 09 Jun 2011