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Learning with a Wasserstein Loss

17 June 2015

Papers citing "Learning with a Wasserstein Loss"

50 / 181 papers shown

Title
SP $^2$ OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering Chuyu Zhang Hui Ren Xuming He OT 88 1 0 01 Jul 2025
Different Speech Translation Models Encode and Translate Speaker Gender Differently Dennis Fucci Marco Gaido Matteo Negri L. Bentivogli André F. T. Martins Giuseppe Attanasio 31 0 0 02 Jun 2025
Model alignment using inter-modal bridges Ali Gholamzadeh Noor Sajid 229 0 0 18 May 2025
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text Guotao Liang Baoquan Zhang Zhiyuan Wen Junteng Zhao Yunming Ye Kola Ye Yao He 96 0 0 03 Mar 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 172 1 0 17 Feb 2025
Mean and Variance Estimation Complexity in Arbitrary Distributions via Wasserstein Minimization Valentio Iverson Stephen Vavasis 145 0 0 20 Jan 2025
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Yikang Shen W. Wells Tina Kapur Polina Golland 125 2 0 06 Oct 2024
Shift-Dispersion Decompositions of Wasserstein and Cramér Distances Johannes Resin Daniel Wolffram Johannes Bracher Timo Dimitriadis 46 2 0 19 Aug 2024
Sequential Contrastive Audio-Visual Learning Ioannis Tsiamas Santiago Pascual Chunghsin Yeh Joan Serrà 100 3 0 08 Jul 2024
LaCoOT: Layer Collapse through Optimal Transport Victor Quétu Nour Hezbri Enzo Tartaglione 64 0 0 13 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 171 0 0 07 Jun 2024
On the Convergence of the Sinkhorn-Knopp Algorithm with Sparse Cost Matrices Jose Rafael Espinosa Mena 48 0 0 30 May 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 141 11 0 14 May 2024
Towards Meta-Pruning via Optimal Transport Alexander Theus Olin Geimer Friedrich Wicke Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh MoMe 86 4 0 12 Feb 2024
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 45 1 0 06 Dec 2023
EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling Siyu Ren Zhiyong Wu Kenny Q. Zhu 70 4 0 07 Oct 2023
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation Sorachi Kurita Satoshi Oyama Itsuki Noda OT 64 0 0 19 Sep 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel M. Khamlich F. Pichi G. Rozza 113 5 0 26 Aug 2023
Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations S. Amari Takeru Matsuda 27 4 0 24 Jul 2023
Measure transfer via stochastic slicing and matching Shiying Li Caroline Moosmueller 88 3 0 11 Jul 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 96 39 0 28 Jun 2023
Unbalanced Low-rank Optimal Transport Solvers M. Scetbon Michal Klein Giovanni Palla Marco Cuturi OT 80 5 0 31 May 2023
Improving Neural Topic Models with Wasserstein Knowledge Distillation Suman Adhya Debarshi Kumar Sanyal BDL 109 1 0 27 Mar 2023
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification Conghao Xiong Yi Lin Hao Chen Hao Zheng Dong Wei Yefeng Zheng Joseph J. Y. Sung Irwin King 67 4 0 10 Mar 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph Tam Le Truyen V. Nguyen Kenji Fukumizu OT 101 9 0 24 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 77 0 0 04 Feb 2023
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 97 21 0 15 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts Zhitong Gao Yucong Chen Chuyu Zhang Xuming He UQCV 57 5 0 14 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 97 4 0 13 Dec 2022
Hierarchical Policy Blending As Optimal Transport An T. Le Kay Hansel Jan Peters Georgia Chalvatzaki OT 108 7 0 04 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 104 49 0 16 Nov 2022
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images Serban Stan Mohammad Rostami OOD 104 11 0 02 Nov 2022
Unified Optimal Transport Framework for Universal Domain Adaptation Wanxing Chang Ye Shi H. Tuan Jingya Wang OT 110 69 0 31 Oct 2022
The Fisher-Rao Loss for Learning under Label Noise Henrique K. Miyamoto Fábio C. C. Meneghetti Sueli I. R. Costa NoLa 43 6 0 28 Oct 2022
Learning Ultrametric Trees for Optimal Transport Regression Samantha Chen Puoya Tabaghi Yusu Wang OT 82 3 0 21 Oct 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 112 12 0 06 Oct 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 102 3 0 23 Sep 2022
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy Daiki Nishiyama Kazuto Fukuchi Youhei Akimoto Jun Sakuma 113 1 0 22 Sep 2022
On making optimal transport robust to all outliers Kilian Fatras OT 58 0 0 23 Jun 2022
Loss Functions for Classification using Structured Entropy B. Lucena 40 3 0 14 Jun 2022
A theory of learning with constrained weight-distribution Weishun Zhong Ben Sorscher Daniel D. Lee H. Sompolinsky 53 2 0 14 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 105 24 0 10 Jun 2022
Unbalanced CO-Optimal Transport Quang-Huy Tran H. Janati Nicolas Courty Rémi Flamary I. Redko Pinar Demetci Ritambhara Singh OT 71 11 0 30 May 2022
Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem Takumi Fukunaga Hiroyuki Kasai OT 59 8 0 27 May 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 81 26 0 14 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Daniel Cremers AI4CE 93 24 0 13 May 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 96 38 0 13 Apr 2022
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process S. Sun Bailu Jin Zhuangkun Wei Weisi Guo 51 3 0 09 Mar 2022
Optimal Transport for Super Resolution Applied to Astronomy Imaging Michael Rawson Jakob Hultgren OT 42 0 0 10 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 51 11 0 08 Feb 2022