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+
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Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
4
|
|
+
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Learning Transferable Features with Deep Adaptation Networks
|
2015
|
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
|
4
|
|
+
PDF
Chat
|
ImageNet Large Scale Visual Recognition Challenge
|
2015
|
Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
|
4
|
|
+
PDF
Chat
|
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
|
2018
|
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
|
4
|
|
+
|
Conditional Adversarial Domain Adaptation
|
2017
|
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Michael I. Jordan
|
4
|
|
+
PDF
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|
Deep Hashing Network for Unsupervised Domain Adaptation
|
2017
|
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
Sethuraman Panchanathan
|
4
|
|
+
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Gradually Vanishing Bridge for Adversarial Domain Adaptation
|
2020
|
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Qi Tian
|
3
|
|
+
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Deep Transfer Learning with Joint Adaptation Networks
|
2016
|
Mingsheng Long
Zhu Han
Jianmin Wang
Michael I. Jordan
|
3
|
|
+
PDF
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|
Adversarial Discriminative Domain Adaptation
|
2017
|
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
|
3
|
|
+
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Unsupervised Domain Adaptation with Residual Transfer Networks
|
2016
|
Mingsheng Long
Zhu Han
Jianmin Wang
Michael I. Jordan
|
3
|
|
+
|
Unsupervised Domain Adaptation by Backpropagation
|
2014
|
Yaroslav Ganin
Victor Lempitsky
|
3
|
|
+
|
PyTorch: An Imperative Style, High-Performance Deep Learning Library
|
2019
|
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
|
3
|
|
+
|
VisDA: The Visual Domain Adaptation Challenge
|
2017
|
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
|
2
|
|
+
|
Distilling the Knowledge in a Neural Network
|
2015
|
Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
|
2
|
|
+
|
Unsupervised Domain Adaptation by Backpropagation
|
2014
|
Yaroslav Ganin
Victor Lempitsky
|
2
|
|
+
|
Scikit-learn: Machine Learning in Python
|
2012
|
FabiĂĄn Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
|
2
|
|
+
PDF
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|
A Kernel Method for the Two-Sample-Problem
|
2007
|
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alexander J. Smola
|
2
|
|
+
PDF
Chat
|
Learning Deep Features for Discriminative Localization
|
2016
|
Bolei Zhou
Aditya Khosla
Ăgata Lapedriza
Aude Oliva
Antonio Torralba
|
2
|
|
+
|
Introduction to Modern Statistics.
|
1958
|
Fred M. Westfield
Werner Z. Hirsch
|
2
|
|
+
PDF
Chat
|
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
|
2017
|
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
|
2
|
|
+
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Domain Adaptation for Visual Applications: A Comprehensive Survey
|
2017
|
Gabriela Csurka
|
2
|
|
+
PDF
Chat
|
Domain-Adversarial Training of Neural Networks
|
2017
|
Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
|
2
|
|
+
|
A DIRT-T Approach to Unsupervised Domain Adaptation
|
2018
|
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
|
2
|
|
+
PDF
Chat
|
Unsupervised Domain Adaptation with Similarity Learning
|
2018
|
Pedro O. Pinheiro
|
2
|
|
+
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|
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
|
2018
|
Riccardo Volpi
Pietro Morerio
Silvio Savarese
Vittorio Murino
|
2
|
|
+
|
Adversarial Dropout Regularization
|
2017
|
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
|
2
|
|
+
PDF
Chat
|
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
|
2016
|
Baochen Sun
Kate Saenko
|
2
|
|
+
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On the (In)fidelity and Sensitivity for Explanations
|
2019
|
ChihâKuan Yeh
Cheng-Yu Hsieh
Arun Sai Suggala
David I. Inouye
Pradeep Ravikumar
|
2
|
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+
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Implicit Semantic Data Augmentation for Deep Networks
|
2019
|
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Gao Huang
Cheng Wu
|
2
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+
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Implicit Semantic Data Augmentation for Deep Networks
|
2019
|
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Cheng Wu
Gao Huang
|
2
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+
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Transferrable Prototypical Networks for Unsupervised Domain Adaptation
|
2019
|
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
ChongâWah Ngo
Tao Mei
|
2
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+
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Domain-Symmetric Networks for Adversarial Domain Adaptation
|
2019
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Yabin Zhang
Hui Tang
Kui Jia
Mingkui Tan
|
2
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Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
|
2019
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ChenâYu Lee
Tanmay Batra
Mohammad Haris Baig
Daniel Ulbricht
|
2
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Moment Matching for Multi-Source Domain Adaptation
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2019
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Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
|
2
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Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
|
2019
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Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
|
2
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Adversarial Domain Adaptation with Domain Mixup
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2020
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Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
|
2
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Domain Conditioned Adaptation Network
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2020
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Shuang Li
Chi Liu
Qiuxia Lin
Binhui Xie
Zhengming Ding
Gao Huang
Jian Tang
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2
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Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
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2020
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You-Wei Luo
Chuan-Xian Ren
Pengfei Ge
Ke-Kun Huang
YuâFeng Yu
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2
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Deep Residual Correction Network for Partial Domain Adaptation
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2020
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Shuang Li
Chi Harold Liu
Qiuxia Lin
Qi Wen
Limin Su
Gao Huang
Zhengming Ding
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2
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Entropy Minimization vs. Diversity Maximization for Domain Adaptation
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2020
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Xiaofu Wu
Suofei hang
Quan Zhou
Zhen Yang
Chunming Zhao
Longin Jan Latecki
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2
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Regularizing Class-Wise Predictions via Self-Knowledge Distillation
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2020
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Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
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2
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Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
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2020
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Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
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2
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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
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2020
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Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo Li
Han Zhao
Bichen Wu
Ravi Krishna
Joseph E. Gonzalez
Alberto SangiovanniâVincentelli
Sanjit A. Seshia
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2
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Dual Mixup Regularized Learning for Adversarial Domain Adaptation
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2020
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Yuan Wu
Diana Inkpen
Ahmed El-Roby
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2
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Minimum Class Confusion for Versatile Domain Adaptation
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2020
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Ying Jin
Ximei Wang
Mingsheng Long
Jianmin Wang
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2
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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2019
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Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
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2
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Bridging Theory and Algorithm for Domain Adaptation
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2019
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Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
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2
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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2
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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2017
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Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
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2
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Unsupervised Image-to-Image Translation Networks
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2017
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Ming-Yu Liu
Thomas M. Breuel
Jan Kautz
|
2
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