ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1502.02791
  4. Cited By
Learning Transferable Features with Deep Adaptation Networks
v1v2 (latest)

Learning Transferable Features with Deep Adaptation Networks

10 February 2015
Mingsheng Long
Yue Cao
Jianmin Wang
Sai Li
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Transferable Features with Deep Adaptation Networks"

50 / 2,000 papers shown
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View
  Adaptation
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
Thanh-Dat Truong
C. Duong
Ashley Dowling
Son Lam Phung
J. Cothren
Khoa Luu
206
3
0
14 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
Hao Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLLTTA
243
4
0
13 Apr 2023
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time
  Simulation in Reinforcement Learning for Robot Manipulation
Facilitating Sim-to-real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot ManipulationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Ram Dershan
Amir M. Soufi Enayati
Zengjie Zhang
D. Richert
Homayoun Najjaran
233
4
0
12 Apr 2023
Does Continual Learning Equally Forget All Parameters?
Does Continual Learning Equally Forget All Parameters?International Conference on Machine Learning (ICML), 2023
Haiyan Zhao
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
CLLKELM
226
19
0
09 Apr 2023
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
SALUDA: Surface-based Automotive Lidar Unsupervised Domain AdaptationInternational Conference on 3D Vision (3DV), 2023
Bjoern Michele
Alexandre Boulch
Gilles Puy
Tuan-Hung Vu
Renaud Marlet
Nicolas Courty
469
25
0
06 Apr 2023
Source-free Domain Adaptation Requires Penalized Diversity
Source-free Domain Adaptation Requires Penalized DiversityMachine-mediated learning (ML), 2023
Laya Rafiee Sevyeri
Ivaxi Sheth
Farhood Farahnak
Alexandre See
Samira Ebrahimi Kahou
T. Fevens
Mohammad Havaei
TTA
213
1
0
06 Apr 2023
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Shoukai Xu
Jiangchao Yao
Ran Luo
Shuhai Zhang
Zihao Lian
Zhuliang Yu
Bo Han
Yaowei Wang
238
6
0
05 Apr 2023
Zero-shot domain adaptation of anomalous samples for semi-supervised
  anomaly detection
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tomoya Nishida
Takashi Endo
Yohei Kawaguchi
139
1
0
05 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene
  Understanding
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Thanh-Dat Truong
Ngan Le
Bhiksha Raj
J. Cothren
Khoa Luu
247
38
0
04 Apr 2023
Learning by Grouping: A Multilevel Optimization Framework for Improving
  Fairness in Classification without Losing Accuracy
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
Ramtin Hosseini
Li Zhang
Bhanu Garg
P. Xie
FaML
184
0
0
02 Apr 2023
Domain Adaptive Semantic Segmentation by Optimal Transport
Domain Adaptive Semantic Segmentation by Optimal TransportFundamental Research (FR), 2023
Yaqian Guo
Xiao Wang
Ce Li
Shihui Ying
OT
263
12
0
29 Mar 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
482
19
0
29 Mar 2023
Large-scale Training Data Search for Object Re-identification
Large-scale Training Data Search for Object Re-identificationComputer Vision and Pattern Recognition (CVPR), 2023
Yue Yao
Huan Lei
Tom Gedeon
Liang Zheng
227
12
0
28 Mar 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging
  Analysis
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Nicola K. Dinsdale
M. Jenkinson
Ana I. L. Namburete
265
2
0
28 Mar 2023
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation
  for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Ziyuan Zhao
Kaixin Xu
Huai Zhe Yeo
Xulei Yang
Cuntai Guan
239
7
0
28 Mar 2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
GeoNet: Benchmarking Unsupervised Adaptation across GeographiesComputer Vision and Pattern Recognition (CVPR), 2023
Tarun Kalluri
Wangdong Xu
Manmohan Chandraker
OOD
201
18
0
27 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsInternational Journal of Computer Vision (IJCV), 2023
Jian Liang
Ran He
Tien-Ping Tan
OODVLMTTA
326
389
0
27 Mar 2023
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingNeural Information Processing Systems (NeurIPS), 2023
Yurong You
Cheng Perng Phoo
Katie Z Luo
Travis Zhang
Wei-Lun Chao
Bharath Hariharan
Mark E. Campbell
Kilian Q. Weinberger
162
14
0
27 Mar 2023
Federated Learning without Full Labels: A Survey
Federated Learning without Full Labels: A SurveyIEEE Data Engineering Bulletin (IEEE Data Eng. Bull.), 2023
Yilun Jin
Yang Liu
Kai Chen
Qian Yang
FedML
217
36
0
25 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
216
1
0
25 Mar 2023
Train/Test-Time Adaptation with Retrieval
Train/Test-Time Adaptation with RetrievalComputer Vision and Pattern Recognition (CVPR), 2023
Luca Zancato
Alessandro Achille
Tian Yu Liu
Matthew Trager
Pramuditha Perera
Stefano Soatto
TTAOOD
201
14
0
25 Mar 2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised
  Domain Adaptive Object Detection
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Mikhail Kennerley
Jian-Gang Wang
B. Veeravalli
R. Tan
ObjD
238
59
0
24 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game
  Perspective
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game PerspectiveComputer Vision and Pattern Recognition (CVPR), 2023
Jinjing Zhu
Haotian Bai
Lin Wang
ViT
249
104
0
23 Mar 2023
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning
  Inverse Gram Matrices
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesComputer Vision and Pattern Recognition (CVPR), 2023
Ismail Nejjar
Qin Wang
Olga Fink
202
51
0
23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness MinimizationComputer Vision and Pattern Recognition (CVPR), 2023
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
192
40
0
23 Mar 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using
  Contrastive Learning and Uncorrelated Conditioning
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated ConditioningIEEE International Conference on Computer Vision (ICCV), 2023
Dayuan Jian
Mohammad Rostami
168
19
0
22 Mar 2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen
Xiaoyu Xian
Zhi Yang
Tianshui Chen
Yongyi Lu
Yukai Shi
Jin-shan Pan
Guanbin Li
TTA
186
3
0
20 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yongyi Su
Xun Xu
Tianrui Li
Kui Jia
OODTTA
194
20
0
20 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
215
1
0
18 Mar 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Augmenting and Aligning Snippets for Few-Shot Video Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Yuecong Xu
Jianfei Yang
Yunjiao Zhou
Zhenghua Chen
Ruibing Jin
Xiaoli Li
189
8
0
18 Mar 2023
Supervision Interpolation via LossMix: Generalizing Mixup for Object
  Detection and Beyond
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and BeyondAAAI Conference on Artificial Intelligence (AAAI), 2023
Thanh Tien Vu
Baochen Sun
Bodi Yuan
Alex Ngai
Yueqi Li
Jan-Michael Frahm
371
6
0
18 Mar 2023
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset
  and Baseline Performances
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline PerformancesIEEE International Conference on Robotics and Automation (ICRA), 2023
Arun V. Reddy
Ketul Shah
William Paul
Rohita Mocharla
Judy Hoffman
Kapil D. Katyal
Dinesh Manocha
Celso M. de Melo
Ramalingam Chellappa
188
30
0
17 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang
Shuhao Chen
Yu Zhang
Jiangang Lu
DiffM
204
1
0
17 Mar 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingComputer Vision and Pattern Recognition (CVPR), 2023
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
387
25
0
16 Mar 2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework
  For Sentiment Classification
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment ClassificationInformation Sciences (Inf. Sci.), 2022
Cuong V. Nguyen
Khiem H. Le
Anh Tran
Quang Pham
Binh T. Nguyen
188
14
0
16 Mar 2023
Practicality of generalization guarantees for unsupervised domain
  adaptation with neural networks
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
183
1
0
15 Mar 2023
Visual Contact Pressure Estimation for Grippers in the Wild
Visual Contact Pressure Estimation for Grippers in the WildIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Jeremy Collins
C. Houff
Patrick Grady
Charles C. Kemp
217
4
0
13 Mar 2023
Continual Visual Reinforcement Learning with A Life-Long World Model
Continual Visual Reinforcement Learning with A Life-Long World Model
Wendong Zhang
Wendong Zhang
Geng Chen
Siyu Gao
Yunbo Wang
Xiaokang Yang
Yunbo Wang
CLL
352
4
0
12 Mar 2023
Self-Paced Learning for Open-Set Domain Adaptation
Self-Paced Learning for Open-Set Domain Adaptation
Xinghong Liu
Yi Zhou
Tao Zhou
Jie Qin
Tianran Ouyang
TTA
198
3
0
10 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain
  Adaptation
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Zhongying Deng
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
171
1
0
10 Mar 2023
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample
  Test
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample TestIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023
Behnam Khojasteh
Friedrich Solowjow
Sebastian Trimpe
Katherine J. Kuchenbecker
114
7
0
08 Mar 2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation
  and Gradual Alignment
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentIEEE transactions on multimedia (IEEE TMM), 2023
Jinghan Ru
Jun Tian
Zhekai Du
Chengwei Xiao
Jingjing Li
Mengqi Li
271
25
0
08 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
401
108
0
07 Mar 2023
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Adaptive Texture Filtering for Single-Domain Generalized SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinhui Li
Mingjiang Li
Yaxing Wang
Chuan-Xian Ren
Xiaojie Guo
230
6
0
06 Mar 2023
DiTTO: A Feature Representation Imitation Approach for Improving
  Cross-Lingual Transfer
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual TransferConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Shanu Kumar
Abbaraju Soujanya
Sandipan Dandapat
Sunayana Sitaram
Monojit Choudhury
VLM
198
1
0
04 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and SolutionsInternational Conference on Learning Representations (ICLR), 2023
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
205
14
0
04 Mar 2023
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised
  Domain Adaptation
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Wenxi Xiao
Zhengming Ding
Hongfu Liu
FAtt
156
2
0
04 Mar 2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical
  Image Classification
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image ClassificationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
S. Harada
Ryoma Bise
Kengo Araki
Akihiko Yoshizawa
Kazuhiro Terada
Mariyo Rokutan-Kurata
N. Nakajima
Hiroyuki Abe
T. Ushiku
Seiichi Uchida
OOD
144
4
0
02 Mar 2023
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based
  Weighting for Semantic Segmentation
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic SegmentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Shigemichi Matsuzaki
Hiroaki Masuzawa
Jun Miura
235
6
0
02 Mar 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Neuro-Modulated Hebbian Learning for Fully Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Yushun Tang
Ce Zhang
Heng Xu
Shuoshuo Chen
Jie Cheng
Luziwei Leng
Qinghai Guo
Zhihai He
TTA
244
31
0
02 Mar 2023
Previous
123...91011...383940
Next
Page 10 of 40
Pageof 40