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Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With
  Jensen-Shannon Divergence

Beyond H\mathcal{H}H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence

30 July 2020
Changjian Shui
Qi Chen
Jun Wen
Fan Zhou
Christian Gagné
Boyu Wang
ArXivPDFHTML

Papers citing "Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence"

19 / 19 papers shown
Title
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Data-dependent and Oracle Bounds on Forgetting in Continual Learning
Lior Friedman
Ron Meir
70
0
0
13 Jun 2024
Class-wise Generalization Error: an Information-Theoretic Analysis
Class-wise Generalization Error: an Information-Theoretic Analysis
Firas Laakom
Yuheng Bu
M. Gabbouj
17
0
0
05 Jan 2024
User-Centric Federated Learning: Trading off Wireless Resources for
  Personalization
User-Centric Federated Learning: Trading off Wireless Resources for Personalization
Mohamad Mestoukirdi
Matteo Zecchin
David Gesbert
Qianrui Li
FedML
22
7
0
25 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source
  Domain Adaptation
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen
M. Marchand
OOD
23
8
0
04 Apr 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
38
11
0
03 Oct 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
13
1
0
05 Sep 2022
On statistic alignment for domain adaptation in structural health
  monitoring
On statistic alignment for domain adaptation in structural health monitoring
J. Poole
P. Gardner
N. Dervilis
L. Bull
Keith Worden
11
27
0
24 May 2022
U-NO: U-shaped Neural Operators
U-NO: U-shaped Neural Operators
Md Ashiqur Rahman
Zachary E. Ross
Kamyar Azizzadenesheli
AI4CE
25
132
0
23 Apr 2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li
Meng Cao
Songcan Chen
20
7
0
07 Apr 2022
Task-specific Inconsistency Alignment for Domain Adaptive Object
  Detection
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
Liang Zhao
Limin Wang
25
74
0
29 Mar 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and Transfer
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
18
10
0
26 Jan 2022
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed
  Adversarial Gaussian Domain Adaptation
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
N. Savioli
A. de Marvao
Wenjia Bai
Shuo Wang
S. Cook
C. Chin
Daniel Rueckert
D. O’Regan
MedIm
17
2
0
16 Jul 2021
Multi-task Learning by Leveraging the Semantic Information
Multi-task Learning by Leveraging the Semantic Information
Fan Zhou
B. Chaib-draa
Boyu Wang
13
12
0
03 Mar 2021
Leave Zero Out: Towards a No-Cross-Validation Approach for Model
  Selection
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
Weikai Li
Chuanxing Geng
Songcan Chen
14
14
0
24 Dec 2020
Importance Weight Estimation and Generalization in Domain Adaptation
  under Label Shift
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift
Kamyar Azizzadenesheli
OOD
19
13
0
29 Nov 2020
A Convenient Infinite Dimensional Framework for Generative Adversarial
  Learning
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning
H. Asatryan
Hanno Gottschalk
Marieke Lippert
Matthias Rottmann
GAN
11
10
0
24 Nov 2020
Information-Theoretic Bounds on Transfer Generalization Gap Based on
  Jensen-Shannon Divergence
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence
Sharu Theresa Jose
Osvaldo Simeone
43
16
0
13 Oct 2020
Domain Generalization via Optimal Transport with Metric Similarity
  Learning
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou
Zhuqing Jiang
Changjian Shui
Boyu Wang
B. Chaib-draa
OOD
11
53
0
21 Jul 2020
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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