ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.11202
  4. Cited By
Unsupervised Domain Adaptation via Calibrating Uncertainties

Unsupervised Domain Adaptation via Calibrating Uncertainties

25 July 2019
Ligong Han
Yang Zou
Ruijiang Gao
Lezi Wang
Dimitris N. Metaxas
ArXivPDFHTML

Papers citing "Unsupervised Domain Adaptation via Calibrating Uncertainties"

12 / 12 papers shown
Title
Label Calibration in Source Free Domain Adaptation
Label Calibration in Source Free Domain Adaptation
Shivangi Rai
Rini Smita Thakur
Kunal Jangid
Vinod K. Kurmi
UQCV
48
1
0
13 Jan 2025
Constraining Pseudo-label in Self-training Unsupervised Domain
  Adaptation with Energy-based Model
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model
Lingsheng Kong
Bo Hu
Xiongchang Liu
Jun Lu
Jane You
Xiaofeng Liu
38
12
0
26 Aug 2022
Enhancing Counterfactual Classification via Self-Training
Enhancing Counterfactual Classification via Self-Training
Ruijiang Gao
Max Biggs
Wei-Ju Sun
Ligong Han
CML
OffRL
32
6
0
08 Dec 2021
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for
  Unsupervised Domain Adaptation
UBR2^22S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
Tobias Ringwald
Rainer Stiefelhagen
22
0
0
22 Oct 2021
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object
  Detection
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
Minjie Cai
Minyi Luo
Xionghu Zhong
Hao Chen
OOD
27
6
0
28 Aug 2021
Energy-constrained Self-training for Unsupervised Domain Adaptation
Energy-constrained Self-training for Unsupervised Domain Adaptation
Xiaofeng Liu
Bo Hu
Xiongchang Liu
Jun Lu
J. You
Lingsheng Kong
48
29
0
01 Jan 2021
Conservative Wasserstein Training for Pose Estimation
Conservative Wasserstein Training for Pose Estimation
Xiaofeng Liu
Yang Zou
Tong Che
Peng Ding
P. Jia
J. You
Kumar B.V.K
29
33
0
03 Nov 2019
Addressing Failure Prediction by Learning Model Confidence
Addressing Failure Prediction by Learning Model Confidence
Charles Corbière
Nicolas Thome
Avner Bar-Hen
Matthieu Cord
P. Pérez
33
283
0
01 Oct 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
790
0
26 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
419
11,715
0
09 Mar 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
202
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1