Learning Transferable Features with Deep Adaptation Networks

10 February 2015

Papers citing "Learning Transferable Features with Deep Adaptation Networks"

50 / 832 papers shown

Title
Transfer Learning Toolkit: Primers and Benchmarks Fuzhen Zhuang Keyu Duan Tongjia Guo Yongchun Zhu Dongbo Xi Zhiyuan Qi Qing He 21 2 0 20 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
Domain Generalization Using a Mixture of Multiple Latent Domains Toshihiko Matsuura Tatsuya Harada OOD 23 323 0 18 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 67 4,350 0 07 Nov 2019
Generalizing to unseen domains via distribution matching Isabela Albuquerque João Monteiro Mohammad Javad Darvishi Bayazi T. Falk Ioannis Mitliagkas OOD 35 155 0 03 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement Weihao Xia Yujiu Yang Jing-Hao Xue 29 15 0 02 Nov 2019
Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting Songbin Xu Yang Xue Xin Zhang Lianwen Jin 19 3 0 01 Nov 2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation Qiming Zhang Jing Zhang Wei Liu Dacheng Tao OOD 6 284 0 29 Oct 2019
Multi-source Domain Adaptation for Semantic Segmentation Sicheng Zhao Bo-wen Li Xiangyu Yue Yang Gu Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer 32 159 0 27 Oct 2019
Reducing Domain Gap by Reducing Style Bias Hyeonseob Nam HyunJae Lee Jongchan Park Wonjun Yoon Donggeun Yoo 28 61 0 25 Oct 2019
Neurlux: Dynamic Malware Analysis Without Feature Engineering Chani Jindal Christopher Salls H. Aghakhani Keith Long Christopher Kruegel Giovanni Vigna 24 62 0 24 Oct 2019
Progressive Domain Adaptation for Object Detection Han-Kai Hsu Chun-Han Yao Yi-Hsuan Tsai Wei-Chih Hung Hung-Yu Tseng M. Singh Ming-Hsuan Yang ObjD 44 304 0 24 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning Hang Zhou Ziwei Liu Chenglei Wu Ping Luo Lifeng Sun CLL 17 22 0 24 Oct 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey Shuhan Tan Xingchao Peng Kate Saenko OOD 27 11 0 23 Oct 2019
The Role of Embedding Complexity in Domain-invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka 16 1 0 13 Oct 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation Seung-Min Lee Dongwan Kim Namil Kim Seong-Gyun Jeong TTA OOD 9 181 0 12 Oct 2019
Multi-modal Deep Analysis for Multimedia Wenwu Zhu Xin Eric Wang Hongzhi Li 29 38 0 11 Oct 2019
Domain Differential Adaptation for Neural Machine Translation Zi-Yi Dou Xinyi Wang Junjie Hu Graham Neubig 31 17 0 07 Oct 2019
Conditional out-of-sample generation for unpaired data using trVAE M. Lotfollahi Mohsen Naghipourfar Fabian J. Theis F. A. Wolf GAN ViT DRL 30 19 0 04 Oct 2019
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss Minghao Chen Hongyang Xue Deng Cai 43 286 0 30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 27 92 0 29 Sep 2019
Range Adaptation for 3D Object Detection in LiDAR Ze Wang Sihao Ding Ying Li Minming Zhao Sohini Roychowdhury Andreas Wallin Guillermo Sapiro Qiang Qiu 3DPC 15 27 0 26 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 48 349 0 25 Sep 2019
Wasserstein Distance Based Domain Adaptation for Object Detection Pengcheng Xu Prudhvi K. Gurram Gene T. Whipps Rama Chellappa OOD 36 21 0 18 Sep 2019
Transfer Learning with Dynamic Adversarial Adaptation Network Chaohui Yu Jindong Wang Yiqiang Chen Meiyu Huang TTA OOD 24 296 0 18 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control Xi Chen Ali Ghadirzadeh Mårten Björkman Patric Jensfelt 27 13 0 17 Sep 2019
Cycle-consistent Conditional Adversarial Transfer Networks Jingjing Li Erpeng Chen Zhengming Ding Lei Zhu Ke Lu Zi Huang 24 71 0 17 Sep 2019
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models Yuantao Fan Sławomir Nowaczyk Thorsteinn Rögnvaldsson AI4CE 43 73 0 16 Sep 2019
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification Paul Primus Hamid Eghbalzadeh David Eitelsebner Khaled Koutini A. Arzt Gerhard Widmer 31 17 0 04 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 86 0 04 Sep 2019
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Umberto Michieli Matteo Biasetton Gianluca Agresti Pietro Zanuttigh GAN 13 58 0 02 Sep 2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation Junlin Yang Nicha Dvornek Fan Zhang Juntang Zhuang Julius Chapiro Mingde Lin James S. Duncan FedML OOD MedIm 37 17 0 27 Aug 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 790 0 26 Aug 2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach Qing Lian Fengmao Lv Lixin Duan Boqing Gong SSeg 39 224 0 26 Aug 2019
Adversarial Domain Adaptation for Machine Reading Comprehension Huazheng Wang Zhe Gan Xiaodong Liu Jingjing Liu Jianfeng Gao Hongning Wang 25 64 0 24 Aug 2019
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation Jiahua Dong Yang Cong Gan Sun Dongdong Hou MedIm 27 48 0 21 Aug 2019
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization Maans Larsson Erik Stenborg Carl Toft Lars Hammarstrand Torsten Sattler Fredrik Kahl SSeg 28 69 0 18 Aug 2019
Regularizing CNN Transfer Learning with Randomised Regression Yang Zhong A. Maki 24 13 0 16 Aug 2019
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Xin Yao Tianchi Huang Chenglei Wu Ruixiao Zhang Lifeng Sun FedML 21 38 0 16 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation Jogendra Nath Kundu Nishank Lakkakula R. Venkatesh Babu 19 59 0 11 Aug 2019
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation T. Shen Dong Gong Wei Zhang Chunhua Shen Tao Mei GAN 28 18 0 29 Jul 2019
Multi-level Domain Adaptive learning for Cross-Domain Detection Rongchang Xie Fei Yu Jiachao Wang Yizhou Wang Li Zhang ObjD OOD 22 92 0 26 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris N. Metaxas 21 30 0 25 Jul 2019
Remaining Useful Lifetime Prediction via Deep Domain Adaptation P. Costa A. Akçay Yingqian Zhang U. Kaymak AI4CE 30 259 0 17 Jul 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 15 2 0 11 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 33 83 0 08 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 22 32 0 24 Jun 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 35 69 0 24 Jun 2019
Tackling Partial Domain Adaptation with Self-Supervision S. Bucci A. DÍnnocente Tatiana Tommasi 24 20 0 12 Jun 2019