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Wasserstein Task Embedding for Measuring Task Similarities

Wasserstein Task Embedding for Measuring Task Similarities

24 August 2022
Xinran Liu
Yikun Bai
Yuzhe Lu
Andrea Soltoggio
Soheil Kolouri
    OT
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Papers citing "Wasserstein Task Embedding for Measuring Task Similarities"

7 / 7 papers shown
Title
Personalized Federated Learning under Model Dissimilarity Constraints
Personalized Federated Learning under Model Dissimilarity Constraints
Samuel Erickson
Mikael Johansson
FedML
50
0
0
12 May 2025
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning
Keaton Hamm
Nick Henscheid
Shujie Kang
36
17
0
13 Apr 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Xinran Liu
Andrea Soltoggio
Soheil Kolouri
21
7
0
11 Dec 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
224
239
1
10 Sep 2021
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
93
195
0
07 Feb 2020
Transferability and Hardness of Supervised Classification Tasks
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
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
793
0
19 Feb 2009
1