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Hierarchical Optimal Transport for Multimodal Distribution Alignment
v1v2 (latest)

Hierarchical Optimal Transport for Multimodal Distribution Alignment

Neural Information Processing Systems (NeurIPS), 2019
27 June 2019
John Lee
M. Dabagia
Eva L. Dyer
Christopher Rozell
    OT
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Optimal Transport for Multimodal Distribution Alignment"

30 / 30 papers shown
Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
Moritz Piening
Robert Beinert
125
1
0
26 Sep 2025
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
Yang Xiao
Wang Lu
Jie Ji
Ruimeng Ye
Gen Li
Xiaolong Ma
Bo Hui
OT
318
0
0
09 Mar 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problemNeural Information Processing Systems (NeurIPS), 2025
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
364
1
0
27 Feb 2025
Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
Shambhavi Mishra
Julio Silva-Rodrıguez
Ismail ben Ayed
M. Pedersoli
Jose Dolz
VLM
482
3
0
26 Nov 2024
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
484
1
0
03 Jun 2024
The Synergy Between Optimal Transport Theory and Multi-Agent
  Reinforcement Learning
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Ali Baheri
Mykel J. Kochenderfer
OT
222
5
0
18 Jan 2024
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
A Quasi-Wasserstein Loss for Learning Graph Neural NetworksThe Web Conference (WWW), 2023
Minjie Cheng
Hongteng Xu
377
2
0
18 Oct 2023
LICO: Explainable Models with Language-Image Consistency
LICO: Explainable Models with Language-Image Consistency
Yiming Lei
Zilong Li
Yangyang Li
Junping Zhang
Hongming Shan
VLMFAtt
222
10
0
15 Oct 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics
  Alignment with Diffusion Models
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Yule Wang
Zijing Wu
Chengrui Li
Anqi Wu
DiffM
325
15
0
09 Jun 2023
Distributed Hierarchical Distribution Control for Very-Large-Scale
  Clustered Multi-Agent Systems
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems
A. Saravanos
Yihui Li
Evangelos A. Theodorou
219
17
0
30 May 2023
Modeling Hierarchical Structural Distance for Unsupervised Domain
  Adaptation
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Yingxue Xu
Guihua Wen
Yang Hu
Pei Yang
OT
291
6
0
21 Nov 2022
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long
  Livestream Videos
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream VideosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Jielin Qiu
Franck Dernoncourt
Trung Bui
Zhaowen Wang
Ding Zhao
Hailin Jin
AI4TS
137
7
0
12 Oct 2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport
  Alignment
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Franck Dernoncourt
Trung Bui
Zhaowen Wang
Yue Liu
Ding Zhao
Hailin Jin
124
12
0
10 Oct 2022
Can Brain Signals Reveal Inner Alignment with Human Languages?
Can Brain Signals Reveal Inner Alignment with Human Languages?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
William Jongwon Han
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Douglas Weber
Yue Liu
Ding Zhao
455
19
0
10 Aug 2022
Deep Neural Imputation: A Framework for Recovering Incomplete Brain
  Recordings
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings
Sabera Talukder
Jennifer J. Sun
Matthew K. Leonard
Bingni W. Brunton
Yisong Yue
SyDa
117
16
0
16 Jun 2022
MHMS: Multimodal Hierarchical Multimedia Summarization
MHMS: Multimodal Hierarchical Multimedia Summarization
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Franck Dernoncourt
Trung Bui
Zhaowen Wang
Yue Liu
Ding Zhao
Hailin Jin
173
14
0
07 Apr 2022
Hierarchical Optimal Transport for Unsupervised Domain Adaptation
Hierarchical Optimal Transport for Unsupervised Domain AdaptationMachine-mediated learning (ML), 2021
Mourad El Hamri
Younès Bennani
Issam Falih
Hamid Ahaggach
OT
152
24
0
03 Dec 2021
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
523
110
0
09 Sep 2021
On Transportation of Mini-batches: A Hierarchical Approach
On Transportation of Mini-batches: A Hierarchical ApproachInternational Conference on Machine Learning (ICML), 2021
Khai Nguyen
Dang Nguyen
Quoc Nguyen
Tung Pham
Hung Bui
Dinh Q. Phung
Trung Le
Nhat Ho
OT
222
19
0
11 Feb 2021
Functional optimal transport: map estimation and domain adaptation for
  functional data
Functional optimal transport: map estimation and domain adaptation for functional data
Jiacheng Zhu
Aritra Guha
Dat Do
Mengdi Xu
X. Nguyen
Ding Zhao
OT
320
8
0
07 Feb 2021
Hawkes Processes on Graphons
Hawkes Processes on Graphons
Hongteng Xu
Dixin Luo
H. Zha
178
1
0
04 Feb 2021
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting
  Triplet Loss
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet LossMultimedia tools and applications (MTA), 2021
Huiyuan Deng
Xiangzhu Meng
Lin Feng
138
1
0
03 Feb 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
213
67
0
05 Jan 2021
Making transport more robust and interpretable by moving data through a
  small number of anchor points
Making transport more robust and interpretable by moving data through a small number of anchor pointsInternational Conference on Machine Learning (ICML), 2020
Chi-Heng Lin
Mehdi Azabou
Eva L. Dyer
OTOOD
384
24
0
21 Dec 2020
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
300
22
0
09 Nov 2020
Hierarchical Optimal Transport for Robust Multi-View Learning
Hierarchical Optimal Transport for Robust Multi-View Learning
Dixin Luo
Hongteng Xu
Lawrence Carin
177
5
0
04 Jun 2020
Variational Wasserstein Barycenters for Geometric Clustering
Variational Wasserstein Barycenters for Geometric Clustering
Liang Mi
212
3
0
24 Feb 2020
CO-Optimal Transport
CO-Optimal TransportNeural Information Processing Systems (NeurIPS), 2020
Ivegen Redko
Titouan Vayer
Rémi Flamary
Nicolas Courty
OT
236
73
0
10 Feb 2020
Statistical Optimal Transport posed as Learning Kernel Embedding
Statistical Optimal Transport posed as Learning Kernel EmbeddingNeural Information Processing Systems (NeurIPS), 2020
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
298
17
0
08 Feb 2020
Learning Autoencoders with Relational Regularization
Learning Autoencoders with Relational RegularizationInternational Conference on Machine Learning (ICML), 2020
Hongteng Xu
Dixin Luo
Ricardo Henao
Svati Shah
Lawrence Carin
463
46
0
07 Feb 2020
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