Geometric Dataset Distances via Optimal Transport

7 February 2020

David Alvarez-Melis

Papers citing "Geometric Dataset Distances via Optimal Transport"

34 / 34 papers shown

Title
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 29 0 0 09 May 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 52 0 0 19 Mar 2025
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search Prabhant Singh Joaquin Vanschoren AAML OOD 42 0 0 26 Jul 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 45 0 0 17 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 61 0 0 03 Jun 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 59 10 0 05 Jul 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 24 10 0 12 Jun 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 39 1 0 23 Mar 2023
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space Keisuke Kawano Takuro Kutsuna Ryoko Tokuhisa Akihiro Nakamura Yasushi Esaki 31 0 0 09 Mar 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 52 8 0 06 Feb 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 32 9 0 12 Jan 2023
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? Ningyu Xu Tao Gui Ruotian Ma Qi Zhang Jingting Ye Menghan Zhang Xuanjing Huang 38 13 0 21 Dec 2022
DISCO: Distilling Counterfactuals with Large Language Models Zeming Chen Qiyue Gao Antoine Bosselut Ashish Sabharwal Kyle Richardson 37 25 0 20 Dec 2022
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 18 5 0 28 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport Prabhant Singh Joaquin Vanschoren OOD 31 3 0 01 Nov 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 35 12 0 06 Oct 2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition Feng Liu Minchul Kim Anil Jain Xiaoming Liu CVBM 25 38 0 20 Jul 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 29 6 0 03 Jun 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 29 1 0 12 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 24 3 0 02 May 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 25 9 0 18 Apr 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 22 169 0 11 Apr 2022
How stable are Transferability Metrics evaluations? A. Agostinelli Michal Pándy J. Uijlings Thomas Mensink V. Ferrari 35 22 0 04 Apr 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 2021
Transferability Estimation using Bhattacharyya Class Separability Michal Pándy A. Agostinelli J. Uijlings V. Ferrari Thomas Mensink 19 57 0 24 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang Qiang Qiu Kenneth Ward Church 27 4 0 05 Nov 2021
Partial Wasserstein Covering Keisuke Kawano Satoshi Koide Keisuke Otaki 21 3 0 02 Jun 2021
Making transport more robust and interpretable by moving data through a small number of anchor points Chi-Heng Lin Mehdi Azabou Eva L. Dyer OT OOD 35 22 0 21 Dec 2020
CO-Optimal Transport Ivegen Redko Titouan Vayer Rémi Flamary Nicolas Courty OT 6 64 0 10 Feb 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 790 0 19 Feb 2009