Papers › Improving Mini-batch Optimal Transport via Partial Transportation

Improving Mini-batch Optimal Transport via Partial Transportation

22 Aug 2021arXiv:2108.09645archive 2025-07-28

Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho

Mini-batch optimal transport (m-OT) has been widely used recently to deal with the memory issue of OT in large-scale applications. Despite their practicality, m-OT suffers from misspecified mappings, namely, mappings that are optimal on the mini-batch level but are partially wrong in the comparison with the optimal transportation plan between the original measures. Motivated by the misspecified mappings issue, we propose a novel mini-batch method by using partial optimal transport (POT) between mini-batch empirical measures, which we refer to as mini-batch partial optimal transport (m-POT). Leveraging the insight from the partial transportation, we explain the source of misspecified mappings from the m-OT and motivate why limiting the amount of transported masses among mini-batches via POT can alleviate the incorrect mappings. Finally, we carry out extensive experiments on various applications such as deep domain adaptation, partial domain adaptation, deep generative model, color transfer, and gradient flow to demonstrate the favorable performance of m-POT compared to current mini-batch methods.

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ut-austin-data-science-group/mini-batch-ot officialmentioned in papermentioned on GitHubpytorch report
khainb/BoMb-OT officialmentioned on GitHubpytorch report

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BalancedBatchSampler khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran MIT (permissive) · a2d1ed9ac5b514b0 · report
BoMbOT ut-austin-data-science-group/mini-batch-ot/ABC/utils.py official repository ran · our draft was wrong MIT (permissive) · 4e7fbdb2bc8ec056 · report
ImageList khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran MIT (permissive) · 76825d32647cb3ce · report
InfiniteSliceIterator khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran MIT (permissive) · 978e1da65a934d3a · report
image_test khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran · our draft was wrong MIT (permissive) · 60166088c825b407 · report
image_train khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran · our draft was wrong MIT (permissive) · 6d14e3fcb8d93fa1 · report
inv_lr_scheduler khainb/BoMb-OT/PartialDA/run_mOT.py official repository ran · our draft was wrong MIT (permissive) · 693fef7015113684 · report
ResNetFc khainb/BoMb-OT/PartialDA/run_mOT.py official repository unverified MIT (permissive) · 4fde4b15ac469854 · report
VGGFc khainb/BoMb-OT/PartialDA/run_mOT.py official repository unverified MIT (permissive) · 0fa0506a51ba91fa · report
train khainb/BoMb-OT/PartialDA/run_mOT.py official repository unverified MIT (permissive) · 4ecaced2e83b4ff1 · report
image_classification identical code first harvested elsewhere unverified licence of this copy not recorded · b42e76c69ec6ec9c · report

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