Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output
Probabilities

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Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities

15 November 2020

Jonathan Svirsky

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Papers citing "Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities"

11 / 11 papers shown

Title
Deep Ordinal Regression with Label Diversity Axel Berg Magnus Oskarsson Mark O'Connor 72 51 0 29 Jun 2020
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis Xiaofeng Liu Xu Han Yukai Qiao Yi Ge Lu Jun 60 33 0 03 Nov 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra Lovekesh Vig Gautam M. Shroff UQCV 50 16 0 23 Mar 2019
Rank consistent ordinal regression for neural networks with application to age estimation Wenzhi Cao Vahid Mirjalili S. Raschka 89 211 0 20 Jan 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 61 528 0 18 Oct 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 484 1,731 0 06 Jun 2018
Unimodal probability distributions for deep ordinal classification Christopher Beckham C. Pal 375 76 0 15 May 2017
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks L. Hou Chen-Ping Yu Dimitris Samaras 88 152 0 17 Nov 2016
Deep Label Distribution Learning with Label Ambiguity Bin-Bin Gao Chao Xing Chen-Wei Xie Jianxin Wu Xin Geng 60 428 0 06 Nov 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 218 4,277 0 04 Jun 2013
A neural network approach to ordinal regression Jianlin Cheng 593 199 0 08 Apr 2007