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Adversarial Alignment of Class Prediction Uncertainties for Domain
  Adaptation
v1v2 (latest)

Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation

12 April 2018
Jeroen Manders
Twan van Laarhoven
E. Marchiori
ArXiv (abs)PDFHTML

Papers citing "Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation"

13 / 13 papers shown
Title
Domain Adaptive Object Detection via Balancing Between Self-Training and
  Adversarial Learning
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
172
12
0
08 Nov 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label ShiftInternational Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
183
44
0
06 Feb 2023
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for
  Unsupervised Domain Adaptation
UBR2^22S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain AdaptationBritish Machine Vision Conference (BMVC), 2021
Tobias Ringwald
Rainer Stiefelhagen
97
0
0
22 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain
  Adaptive Object Detection
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
117
53
0
01 Oct 2021
Adapting Vehicle Detector to Target Domain by Adversarial Prediction
  Alignment
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
Yohei Koga
H. Miyazaki
Ryosuke Shibasaki
77
2
0
06 Jul 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass
  Stress Tests
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
Victor Veitch
Alexander DÁmour
Steve Yadlowsky
Jacob Eisenstein
OOD
145
99
0
31 May 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
661
2,176
0
12 Nov 2020
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization
  Across Domains
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains
Rheeya Uppaal
55
0
0
15 Sep 2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Victor Bouvier
P. Very
C´eline Hudelot
C. Chastagnol
59
7
0
29 Jul 2019
Self-supervised Domain Adaptation for Computer Vision Tasks
Self-supervised Domain Adaptation for Computer Vision TasksIEEE Access (IEEE Access), 2019
Jiaolong Xu
Liang Xiao
Antonio M. López
OODSSLVLM
183
144
0
25 Jul 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2019
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
158
410
0
27 May 2019
Brain Tumor Segmentation on MRI with Missing Modalities
Brain Tumor Segmentation on MRI with Missing Modalities
Yan Shen
Mingchen Gao
128
91
0
15 Apr 2019
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
550
4,954
0
17 Feb 2017
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