INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization

8 September 2023

Papers citing "INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization"

38 / 38 papers shown

Title
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 51 94 0 18 Mar 2023
Intra-Source Style Augmentation for Improved Domain Generalization Yumeng Li Dan Zhang Margret Keuper Anna Khoreva 57 33 0 18 Oct 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 74 170 0 27 Mar 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric Xing OOD 74 117 0 27 Nov 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 69 130 0 18 Oct 2021
Learning to Diversify for Single Domain Generalization Zijian Wang Yadan Luo Ruihong Qiu Zi Huang Mahsa Baktash 92 256 0 26 Aug 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 57 268 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 70 112 0 11 Jun 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification Xudong Tian Zhizhong Zhang Shaohui Lin Yanyun Qu Yuan Xie Lizhuang Ma 50 112 0 07 Apr 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 202 1,222 0 02 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 278 452 0 17 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts Zhiqiang Tang Yunhe Gao Yi Zhu Zhi-Li Zhang Mu Li Dimitris N. Metaxas OOD 47 52 0 04 Feb 2021
Learning Disentangled Semantic Representation for Domain Adaptation Ruichu Cai Zijian Li Pengfei Wei Jie Qiao Kun Zhang Zhifeng Hao OOD DRL 62 130 0 22 Dec 2020
Multi-Domain Adversarial Feature Generalization for Person Re-Identification Shan Lin Chang-Tsun Li Alex C. Kot OOD 45 60 0 25 Nov 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 94 168 0 15 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup Yufei Wang Haoliang Li Alex C. Kot OOD 52 144 0 11 Sep 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka OOD 29 62 0 06 Jul 2020
Self-Challenging Improves Cross-Domain Generalization Zeyi Huang Haohan Wang Eric Xing Dong Huang OOD 87 631 0 05 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,143 0 02 Jul 2020
Feature Alignment and Restoration for Domain Generalization and Adaptation Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 69 40 0 22 Jun 2020
Frustratingly Simple Domain Generalization via Image Stylization Nathan Somavarapu Chih-Yao Ma Z. Kira OOD 51 65 0 19 Jun 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 192 278 0 16 Mar 2020
Improve Unsupervised Domain Adaptation with Mixup Training Shen Yan Huan Song Nanxiang Li Lincan Zou Liu Ren 68 234 0 03 Jan 2020
Adversarial Domain Adaptation with Domain Mixup Minghao Xu Jian Zhang Bingbing Ni Teng Li Chengjie Wang Qi Tian Wenjun Zhang 52 448 0 04 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 91 1,237 0 20 Nov 2019
Domain Generalization via Multidomain Discriminant Analysis Shoubo Hu Kun Zhang Zhitang Chen L. Chan OOD AI4CE 66 109 0 25 Jul 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 65 201 0 24 May 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 70 264 0 28 Apr 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 63 162 0 08 Mar 2019
Domain Randomization for Scene-Specific Car Detection and Pose Estimation Rawal Khirodkar Donghyun Yoo Kris Kitani 3DPC 55 50 0 14 Nov 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 119 784 0 30 May 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 85 285 0 21 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 91 1,422 0 10 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 138 2,042 0 22 Jun 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 244 2,964 0 20 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 282 19,981 0 07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 97 3,151 0 06 Jul 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,484 0 28 May 2015