Papers citing 'Improving GANs Using Optimal Transport'

Title
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse MapsInternational Conference on Machine Learning (ICML), 2023 Marco Cuturi Stephen Zhang Pierre Ablin OT 218 18 0 08 Feb 2023
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport DistillationWeb Search and Data Mining (WSDM), 2023 Zhiqi Huang Puxuan Yu James Allan VLM 206 34 0 29 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent ProjectionsNeural Information Processing Systems (NeurIPS), 2023 Khai Nguyen Zhaolin Ren Nhat Ho OT GAN 279 9 0 10 Jan 2023
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 220 25 0 07 Dec 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO SchemeScientific Reports (Sci Rep), 2022 Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 201 23 0 30 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 269 60 0 16 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 208 1 0 24 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2022 Guangyi Chen Weiran Yao Xiangchen Song Xinyue Li Yongming Rao Kun Zhang VPVLM VLM 265 74 0 03 Oct 2022
Hierarchical Sliced Wasserstein DistanceInternational Conference on Learning Representations (ICLR), 2022 Khai Nguyen Zhaolin Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 253 27 0 27 Sep 2022
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation Yang Jing Jia-hua Chen Lei Li Jianfeng Lu 224 1 0 25 Aug 2022
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery Cristina-Madalina Dragan Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly EGVM MedIm 228 8 0 10 Aug 2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 201 65 0 27 Jul 2022
Generative Multiplane Images: Making a 2D GAN 3D-AwareEuropean Conference on Computer Vision (ECCV), 2022 Xiaoming Zhao Fangchang Ma David Guera Zhile Ren Alex Schwing Alex Colburn GAN 3DH 181 74 0 21 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm Nader Ganaba 119 0 0 07 Jul 2022
Transforming Image Generation from Scene GraphsInternational Conference on Pattern Recognition (ICPR), 2022 Renato Sortino S. Palazzo C. Spampinato ViT 141 2 0 01 Jul 2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation Kilian Fatras Hiroki Naganuma Ioannis Mitliagkas OOD 124 8 0 22 Jun 2022
Rethinking Initialization of the Sinkhorn AlgorithmInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 James Thornton Marco Cuturi OT 204 14 0 15 Jun 2022
Algorithms for Weak Optimal Transport with an Application to Economics Franccois-Pierre Paty Philippe Choné F. Kramarz OT 196 2 0 19 May 2022
A scalable deep learning approach for solving high-dimensional dynamic optimal transportSIAM Journal on Scientific Computing (SISC), 2022 Wei Wan Yuejin Zhang Chenglong Bao Bin Dong Zuoqiang Shi 141 8 0 16 May 2022
A Unified Framework for Implicit Sinkhorn DifferentiationComputer Vision and Pattern Recognition (CVPR), 2022 Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Zorah Lähner AI4CE 169 25 0 13 May 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 232 1 0 25 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology DatasetsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022 A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 162 10 0 18 Apr 2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection Najiba Toron J. Mourão-Miranda John Shawe-Taylor 142 1 0 29 Mar 2022
Adversarial Support AlignmentInternational Conference on Learning Representations (ICLR), 2022 Shangyuan Tong T. Garipov Yang Zhang Shiyu Chang Tommi Jaakkola 124 10 0 16 Mar 2022
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases Shengxuan Luo Peng Cheng Shengkang Yu 192 6 0 11 Mar 2022
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-IdentificationAAAI Conference on Artificial Intelligence (AAAI), 2022 Yongguo Ling Zhun Zhong Donglin Cao Zhiming Luo Yaojin Lin Shaozi Li Andrii Zadaianchuk 227 35 0 03 Mar 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem Yiling Xie Yiling Luo X. Huo 237 11 0 02 Mar 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport MapsInternational Conference on Machine Learning (ICML), 2022 Aram-Alexandre Pooladian Marco Cuturi Jonathan Niles-Weed OT 263 19 0 17 Feb 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image AnalysisArtificial Intelligence Review (Artif Intell Rev), 2022 Muhammad Muneeb Saad Ruairi O'Reilly M. H. Rehmani MedIm 359 64 0 19 Jan 2022
Differentiable and Scalable Generative Adversarial Models for Data ImputationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Yangyang Wu Jun Wang Xiaoye Miao Wei Cao Jianwei Yin SyDa 148 23 0 10 Jan 2022
Learning to Generate Novel Classes for Deep Metric LearningBritish Machine Vision Conference (BMVC), 2022 Kyungmoo Lee Sungyeon Kim Seunghoon Hong Suha Kwak 172 1 0 04 Jan 2022
Entropy Regularized Optimal Transport Independence CriterionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Lang Liu Soumik Pal Zaïd Harchaoui OT 267 17 0 31 Dec 2021
Discrete Probabilistic Inverse Optimal TransportInternational Conference on Machine Learning (ICML), 2021 W. Chiu Pei Wang Patrick Shafto OT 211 15 0 17 Dec 2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation Bichen Wu Rui Cheng Peizhao Zhang Tianren Gao Peter Vajda Joseph E. Gonzalez VLM 270 54 0 17 Dec 2021
Near-optimal estimation of smooth transport maps with kernel sums-of-squares Boris Muzellec A. Vacher Francis R. Bach Franccois-Xavier Vialard Alessandro Rudi OT 153 22 0 03 Dec 2021
Music-to-Dance Generation with Optimal Transport Shuang Wu Shijian Lu Li Cheng OT 157 4 0 03 Dec 2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment Denghui Zhang Zixuan Yuan Yanchi Liu Hao Liu Fuzhen Zhuang Hui Xiong Haifeng Chen VLM 126 4 0 01 Dec 2021
Input Convex Gradient Networks Jack Richter-Powell Jonathan Lorraine Brandon Amos 126 18 0 23 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn DivergenceNeural Information Processing Systems (NeurIPS), 2021 Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 205 80 0 01 Nov 2021
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences A. Rakotomamonjy Mokhtar Z. Alaya Maxime Bérar Gilles Gasso 219 5 0 20 Oct 2021
Entropic Gromov-Wasserstein between Gaussian DistributionsInternational Conference on Machine Learning (ICML), 2021 Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 142 19 0 24 Aug 2021
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations Inci M. Baytas Debayan Deb AAML 151 7 0 22 Aug 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 226 84 0 04 Jul 2021
Proximal Optimal Transport Modeling of Population DynamicsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 268 102 0 11 Jun 2021
Large-scale optimal transport map estimation using projection pursuitNeural Information Processing Systems (NeurIPS), 2021 Cheng Meng Y. Ke Jingyi Zhang Mengrui Zhang Wenxuan Zhong Ping Ma OT 125 43 0 09 Jun 2021
Heterogeneous Wasserstein Discrepancy for Incomparable Distributions Mokhtar Z. Alaya Gilles Gasso Maxime Bérar A. Rakotomamonjy OT 87 0 0 04 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 177 56 0 03 Jun 2021
Re-evaluating Word Mover's DistanceInternational Conference on Machine Learning (ICML), 2021 Ryoma Sato M. Yamada H. Kashima 368 24 0 30 May 2021
Generative Adversarial Network: Some Analytical Perspectives Haoyang Cao Xin Guo GAN 225 2 0 25 Apr 2021
Regularized Optimal Transport for Dynamic Semi-supervised Learning Mourad El Hamri Younès Bennani OT 104 0 0 22 Mar 2021