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Learning Transferable Features with Deep Adaptation Networks

Learning Transferable Features with Deep Adaptation Networks

10 February 2015
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
    OOD
ArXivPDFHTML

Papers citing "Learning Transferable Features with Deep Adaptation Networks"

50 / 832 papers shown
Title
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
62
402
0
25 Mar 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient
  Approach to Multi-Modality Medical Image Segmentation
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Cheng Bian
Chenglang Yuan
Kai Ma
Shuang Yu
Dong Wei
Yefeng Zheng
VLM
MedIm
19
31
0
19 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
37
3
0
17 Mar 2022
Learning for Robot Decision Making under Distribution Shift: A Survey
Learning for Robot Decision Making under Distribution Shift: A Survey
Abhishek Paudel
OOD
OffRL
43
5
0
14 Mar 2022
Adaptive Trajectory Prediction via Transferable GNN
Adaptive Trajectory Prediction via Transferable GNN
Yi Xu
Lichen Wang
Yizhou Wang
Y. Fu
35
69
0
09 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
24
18
0
08 Mar 2022
Curriculum-style Local-to-global Adaptation for Cross-domain Remote
  Sensing Image Segmentation
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation
Bo Zhang
Tao Chen
Bin Wang
27
50
0
03 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
24
12
0
01 Mar 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content
  Level and Beyond
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond
Yue Yao
Liang Zheng
Xiaodong Yang
Milind Napthade
Tom Gedeon
30
17
0
28 Feb 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
Dongwan Kim
Yi-Hsuan Tsai
Yumin Suh
M. Faraki
Sparsh Garg
Manmohan Chandraker
Bohyung Han
20
20
0
28 Feb 2022
Submodlib: A Submodular Optimization Library
Submodlib: A Submodular Optimization Library
Vishal Kaushal
Ganesh Ramakrishnan
Rishabh K. Iyer
50
12
0
22 Feb 2022
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with
  Vocabulary Separation and Adaptation
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation
Jiong Wang
Zhou Zhao
Weike Jin
Xinyu Duan
Zhen Lei
Baoxing Huai
Yiling Wu
Xiaofei He
CVBM
AAML
VLM
27
12
0
21 Feb 2022
Domain-Augmented Domain Adaptation
Domain-Augmented Domain Adaptation
Qiuhao Zeng
Tianze Luo
Boyu Wang
21
2
0
21 Feb 2022
Priming Cross-Session Motor Imagery Classification with A Universal Deep
  Domain Adaptation Framework
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
Zhengqing Miao
Xin Zhang
C. Menon
Yelong Zheng
Mei-rong Zhao
Dong Ming
35
18
0
19 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
41
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
41
8
0
18 Feb 2022
Two-stage architectural fine-tuning with neural architecture search
  using early-stopping in image classification
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification
Youngkee Kim
Won Joon Yun
Youn Kyu Lee
Soyi Jung
Joongheon Kim
31
5
0
17 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
36
144
0
14 Feb 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
26
8
0
13 Feb 2022
Positive-Unlabeled Domain Adaptation
Positive-Unlabeled Domain Adaptation
Jonas Sonntag
Gunnar Behrens
Lars Schmidt-Thieme
16
2
0
11 Feb 2022
Consistency and Diversity induced Human Motion Segmentation
Consistency and Diversity induced Human Motion Segmentation
Tao Zhou
Huazhu Fu
Chen Gong
Ling Shao
Fatih Porikli
Haibin Ling
Jianbing Shen
13
22
0
10 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
105
55
0
08 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
67
33
0
30 Jan 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and
  Paired Classifiers
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
Payam Karisani
29
5
0
28 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
23
10
0
26 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Ming Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
41
23
0
21 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
38
44
0
20 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun
Wei-Wei Tu
Isabelle M Guyon
SyDa
46
7
0
17 Jan 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Yiding Wang
D. Sun
Kai Chen
Fan Lai
Mosharaf Chowdhury
33
44
0
17 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network
  for Cross-domain Fraud Detection
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection
Yongchun Zhu
Dongbo Xi
Bowen Song
Fuzhen Zhuang
Shuai Chen
Xi Gu
Qing He
24
59
0
04 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
23
217
0
04 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
28
68
0
31 Dec 2021
Feature matching as improved transfer learning technique for wearable
  EEG
Feature matching as improved transfer learning technique for wearable EEG
E. Heremans
Huy P Phan
A. Ansari
Pascal Borzée
B. Buyse
D. Testelmans
M. D. Vos
OOD
24
10
0
29 Dec 2021
FRuDA: Framework for Distributed Adversarial Domain Adaptation
FRuDA: Framework for Distributed Adversarial Domain Adaptation
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
19
12
0
26 Dec 2021
Geometry-Aware Unsupervised Domain Adaptation
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Ziliang Chen
28
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
46
11
0
20 Dec 2021
Pre-Training Transformers for Domain Adaptation
Pre-Training Transformers for Domain Adaptation
Burhan Ul Tayyab
Nicholas Chua
ViT
24
2
0
18 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
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
23
9
0
15 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
27
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
42
20
0
12 Dec 2021
Illumination and Temperature-Aware Multispectral Networks for
  Edge-Computing-Enabled Pedestrian Detection
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection
Yifan Zhuang
Ziyuan Pu
Jia Hu
Yinhai Wang
33
24
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
15
31
0
08 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OOD
VLM
3DV
70
40
0
06 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised
  Contrastive Learning
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes
M. Hoffmann
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
Andreas Maier
I. M. Peters
18
31
0
06 Dec 2021
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
131
7
0
04 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
30
5
0
03 Dec 2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial
  Domain Adaptation
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng
Zhe Chen
Shuya Ding
Chao Cai
Jun Luo
AAML
35
5
0
01 Dec 2021
Unsupervised Domain Adaptation: A Reality Check
Unsupervised Domain Adaptation: A Reality Check
Kevin Musgrave
Serge Belongie
Ser-Nam Lim
25
19
0
30 Nov 2021
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