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Deep Hashing Network for Unsupervised Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
    OOD
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Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

50 / 498 papers shown
Title
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution Estimation
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
25
115
0
24 Apr 2022
On the Equity of Nuclear Norm Maximization in Unsupervised Domain
  Adaptation
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation
Wenju Zhang
Xiang Zhang
Qing Liao
L. Lan
Mengzhu Wang
Wei Wang
Baoyun Peng
Zhengming Ding
22
0
0
12 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for
  Out-of-domain Generalization
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
26
22
0
09 Apr 2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li
Meng Cao
Songcan Chen
41
7
0
07 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
30
7
0
04 Apr 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
41
1
0
04 Apr 2022
Causality Inspired Representation Learning for Domain Generalization
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv
Jian Liang
Shuang Li
Bin Zang
Chi Harold Liu
Ziteng Wang
Di Liu
CML
OOD
45
167
0
27 Mar 2022
Compound Domain Generalization via Meta-Knowledge Encoding
Compound Domain Generalization via Meta-Knowledge Encoding
Chaoqi Chen
Jiongcheng Li
Xiaoguang Han
Xiaoqing Liu
Yizhou Yu
AI4CE
64
59
0
24 Mar 2022
Deep Frequency Filtering for Domain Generalization
Deep Frequency Filtering for Domain Generalization
Shiqi Lin
Zhizheng Zhang
Zhipeng Huang
Yan Lu
Cuiling Lan
...
Jiang Wang
Zicheng Liu
Amey Parulkar
V. Navkal
Zhibo Chen
50
50
0
23 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
61
132
0
21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
49
29
0
18 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
54
29
0
15 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised
  Domain Adaptation
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Jin Liu
Chuan-Xian Ren
Xiao-Lin Xu
Ke-Kun Huang
OOD
39
2
0
14 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
41
32
0
11 Mar 2022
Unsupervised Domain Adaptation across FMCW Radar Configurations Using
  Margin Disparity Discrepancy
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
Rodrigo Hernangómez
Igor Bjelakovic
Lorenzo Servadei
S. Stańczak
38
0
0
09 Mar 2022
Generalized Label Shift Correction via Minimum Uncertainty Principle:
  Theory and Algorithm
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
You-Wei Luo
Chuan-Xian Ren
36
2
0
26 Feb 2022
Domain-Augmented Domain Adaptation
Domain-Augmented Domain Adaptation
Qiuhao Zeng
Tianze Luo
Boyu Wang
31
2
0
21 Feb 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian
  Perspective
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang
Lei Zhang
Pichao Wang
46
23
0
19 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain
  Adaptation
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation
Shao-Yuan Lo
Vishal M. Patel
AAML
46
8
0
18 Feb 2022
Learning to Generalize across Domains on Single Test Samples
Learning to Generalize across Domains on Single Test Samples
Zehao Xiao
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
OOD
26
31
0
16 Feb 2022
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt Learning
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLM
VLM
40
146
0
14 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Weixin Liang
James Zou
OOD
40
82
0
14 Feb 2022
Positive-Unlabeled Domain Adaptation
Positive-Unlabeled Domain Adaptation
Jonas Sonntag
Gunnar Behrens
Lars Schmidt-Thieme
24
2
0
11 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better
  Transferability
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
33
71
0
09 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
45
176
0
08 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
38
23
0
27 Jan 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
48
10
0
26 Jan 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement
  and Interaction
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction
Jing-Yi Wang
Ruoyi Du
Dongliang Chang
Kongming Liang
Zhanyu Ma
OOD
57
44
0
20 Jan 2022
Multi-Representation Adaptation Network for Cross-domain Image
  Classification
Multi-Representation Adaptation Network for Cross-domain Image Classification
Yongchun Zhu
Fuzhen Zhuang
Jindong Wang
Jingwu Chen
Zhiping Shi
Wenjuan Wu
Qing He
OOD
30
218
0
04 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
50
68
0
31 Dec 2021
MVDG: A Unified Multi-view Framework for Domain Generalization
MVDG: A Unified Multi-view Framework for Domain Generalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
33
29
0
23 Dec 2021
Geometry-Aware Unsupervised Domain Adaptation
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Ziliang Chen
46
0
0
21 Dec 2021
Reciprocal Normalization for Domain Adaptation
Reciprocal Normalization for Domain Adaptation
Zhiyong Huang
Kekai Sheng
Ke Li
Jian Liang
Taiping Yao
Weiming Dong
D. Zhou
Xing Sun
48
11
0
20 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift
UMAD: Universal Model Adaptation under Domain and Category Shift
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
36
30
0
16 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
34
40
0
14 Dec 2021
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised Domain Adaptive Structure Learning
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
TTA
56
20
0
12 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
23
98
0
09 Dec 2021
Pareto Domain Adaptation
Pareto Domain Adaptation
Fangrui Lv
Jian Liang
Kaixiong Gong
Shuang Li
Chi Harold Liu
Han Li
Di Liu
Guoren Wang
23
31
0
08 Dec 2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and
  Curriculum Learning
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang
Tiancheng Lin
Yi Tian Xu
35
5
0
03 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
29
109
0
02 Dec 2021
Unsupervised Domain Adaptation: A Reality Check
Unsupervised Domain Adaptation: A Reality Check
Kevin Musgrave
Serge Belongie
Ser-Nam Lim
32
20
0
30 Nov 2021
Confounder Identification-free Causal Visual Feature Learning
Confounder Identification-free Causal Visual Feature Learning
Xin Li
Zhizheng Zhang
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
CML
OOD
47
14
0
26 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
52
77
0
26 Nov 2021
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Jaemin Na
Dongyoon Han
H. Chang
Wonjun Hwang
36
20
0
26 Nov 2021
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win
  Transformer for Unsupervised Domain Adaptation
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
ViT
32
11
0
25 Nov 2021
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains
Xinyu Zhang
S. Gu
Yutaka Matsuo
Yusuke Iwasawa
VLM
55
38
0
25 Nov 2021
Federated Learning with Domain Generalization
Federated Learning with Domain Generalization
Liling Zhang
Xinyu Lei
Yichun Shi
Hongyu Huang
Chao Chen
FedML
OOD
25
56
0
20 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
53
14
0
11 Nov 2021
Multi-Task Neural Processes
Multi-Task Neural Processes
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
BDL
29
8
0
10 Nov 2021
Class-wise Thresholding for Robust Out-of-Distribution Detection
Class-wise Thresholding for Robust Out-of-Distribution Detection
Matteo Guarrera
Baihong Jin
Tung-Wei Lin
Maria A. Zuluaga
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
OODD
OOD
27
3
0
28 Oct 2021
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