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DINE: Domain Adaptation from Single and Multiple Black-box Predictors

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

4 April 2021
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
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Papers citing "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

16 / 16 papers shown
Title
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
48
1
0
26 May 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan L. Yuille
26
1
0
12 Mar 2024
MDFL: Multi-domain Diffusion-driven Feature Learning
MDFL: Multi-domain Diffusion-driven Feature Learning
Daixun Li
Weiying Xie
Jiaqing Zhang
Yunsong Li
DiffM
45
9
0
16 Nov 2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge
  Distillation
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang
Daoan Zhang
Zipei Yan
Shitong Shao
Ruizhen Li
25
2
0
13 May 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLL
TTA
37
3
0
13 Apr 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
45
5
0
19 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
29
0
0
18 Mar 2023
RAIN: RegulArization on Input and Network for Black-Box Domain
  Adaptation
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng
Zhengming Ding
Lingjuan Lyu
Lichao Sun
Chen Chen
OOD
MLAU
18
18
0
22 Aug 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
24
6
0
19 Jul 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
29
27
0
28 May 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
29
1
0
04 Apr 2022
Semantic Concentration for Domain Adaptation
Semantic Concentration for Domain Adaptation
Shuang Li
Mixue Xie
Fangrui Lv
Chi Harold Liu
Jian Liang
C. Qin
Wei Li
52
87
0
12 Aug 2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang
Yabin Zhang
Kui Jia
Lei Zhang
127
51
0
08 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
169
105
0
05 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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