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. 1702.05464
  4. Cited By
Adversarial Discriminative Domain Adaptation

Adversarial Discriminative Domain Adaptation

Computer Vision and Pattern Recognition (CVPR), 2017
17 February 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
    GANOOD
ArXiv (abs)PDFHTML

Papers citing "Adversarial Discriminative Domain Adaptation"

31 / 2,131 papers shown
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
299
302
0
11 May 2017
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Yen-Cheng Liu
Yu-Ying Yeh
Tzu-Chien Fu
Sheng-De Wang
Wei-Chen Chiu
Y. Wang
DRLOOD
217
10
0
03 May 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GANOOD
492
675
0
06 Apr 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
329
538
0
17 Feb 2017
Dirty Pixels: Towards End-to-End Image Processing and Perception
Dirty Pixels: Towards End-to-End Image Processing and PerceptionACM Transactions on Graphics (TOG), 2017
Steven Diamond
Vincent Sitzmann
Frank D. Julca-Aguilar
Stephen P. Boyd
Gordon Wetzstein
Felix Heide
349
65
0
23 Jan 2017
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
Chentao Song
Vishwanath A. Sindagi
Vishal M. Patel
GAN
484
1,136
0
21 Jan 2017
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GANOOD
335
1,031
0
07 Nov 2016
Domain Separation Networks
Domain Separation NetworksNeural Information Processing Systems (NeurIPS), 2016
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
581
1,541
0
22 Aug 2016
Deep Reconstruction-Classification Networks for Unsupervised Domain
  Adaptation
Deep Reconstruction-Classification Networks for Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2016
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
Wen Li
315
897
0
12 Jul 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
737
3,592
0
06 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2016
Ming-Yuan Liu
Oncel Tuzel
OODGAN
531
1,697
0
24 Jun 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment ClassificationTransactions of the Association for Computational Linguistics (TACL), 2016
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
726
324
0
06 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep LearningAllerton Conference on Communication, Control, and Computing (Allerton), 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
467
1,884
0
31 May 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Sai Li
TTA
760
2,662
0
21 May 2016
Adapting Models to Signal Degradation using Distillation
Adapting Models to Signal Degradation using Distillation
Jong-Chyi Su
Subhransu Maji
235
32
0
01 Apr 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
257
324
0
24 Mar 2016
Beyond Sharing Weights for Deep Domain Adaptation
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
217
463
0
21 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,209
0
10 Dec 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
221
1,963
0
17 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
370
1,398
0
08 Oct 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural NetworksJournal of machine learning research (JMLR), 2015
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
1.1K
10,651
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Sai Li
OOD
508
5,661
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.7K
161,471
0
22 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain InvarianceComputer Vision and Pattern Recognition (CVPR), 2014
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
440
2,779
0
10 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?Neural Information Processing Systems (NeurIPS), 2014
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
667
8,912
0
06 Nov 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
965
11,266
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by BackpropagationInternational Conference on Machine Learning (ICML), 2014
Yaroslav Ganin
Victor Lempitsky
OOD
592
6,604
0
26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.7K
108,224
0
04 Sep 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and SegmentationEuropean Conference on Computer Vision (ECCV), 2014
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
312
1,608
0
22 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature EmbeddingACM Multimedia (ACM MM), 2014
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
873
14,810
0
20 Jun 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionInternational Conference on Machine Learning (ICML), 2013
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
568
5,056
0
06 Oct 2013
Previous
123...414243