DIVA: Domain Invariant Variational Autoencoders

24 May 2019

Papers citing "DIVA: Domain Invariant Variational Autoencoders"

50 / 121 papers shown

Title
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 19 7 0 31 Oct 2022
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 40 24 0 19 Oct 2022
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective Pengfei Wei Lingdong Kong Xinghua Qu Yi Ren Zhiqiang Xu Jing Jiang Xiang Yin 32 19 0 15 Aug 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 28 0 0 26 Jul 2022
Domain-invariant Feature Exploration for Domain Generalization Wang Lu Jindong Wang Haoliang Li Yiqiang Chen Xing Xie OOD 30 69 0 25 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 35 61 0 20 Jul 2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs Simao Eduardo Kai Xu A. Nazábal Charles Sutton DRL 14 0 0 17 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 126 32 0 04 Jul 2022
Improving generalization by mimicking the human visual diet Spandan Madan You Li Mengmi Zhang Hanspeter Pfister Gabriel Kreiman 17 2 0 15 Jun 2022
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition Wang Lu Jindong Wang Yiqiang Chen Sinno Jialin Pan Chunyu Hu Xin Qin 24 44 0 14 Jun 2022
Evolving Domain Generalization Wei Wang Gezheng Xu Ruizhi Pu Jiaqi Li Fan Zhou Changjian Shui Charles Ling Christian Gagné Boyu Wang OOD 32 3 0 31 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 28 8 0 29 May 2022
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy Weichen Fan Yuanbo Yang Kunpeng Qiu Shuo Wang Yongxin Guo 27 3 0 05 May 2022
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification Chu-ran Wang Jing Li Xinwei Sun Fandong Zhang Yizhou Yu Yizhou Wang MedIm OOD 38 2 0 21 Apr 2022
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization T. Wang Zhedong Zheng Yaoqi Sun C. Yan Yi Yang Tat-Seng Chua 17 43 0 18 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 35 75 0 17 Apr 2022
Domain Generalisation for Object Detection under Covariate and Concept Shift Karthik Seemakurthy E. Aptoula Charles Fox Petra Bosilj ObjD OOD 26 10 0 10 Mar 2022
Parameter-free Online Test-time Adaptation Malik Boudiaf Romain Mueller Ismail Ben Ayed Luca Bertinetto TTA 33 138 0 15 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 34 21 0 10 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
Amortized Variational Inference for Simple Hierarchical Models Abhinav Agrawal Justin Domke BDL 9 23 0 04 Nov 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization Manh-Ha Bui Toan M. Tran Anh Tran D.Q. Phung OOD 34 125 0 18 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
On the Limitations of Multimodal VAEs Imant Daunhawer Thomas M. Sutter Kieran Chin-Cheong Emanuele Palumbo Julia E. Vogt 36 27 0 08 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 21 7 0 07 Oct 2021
Domain Generalization for Vision-based Driving Trajectory Generation Yunkai Wang Dongkun Zhang Yuxiang Cui Zexi Chen Wei Jing Junbo Chen R. Xiong Yue Wang 31 3 0 22 Sep 2021
VAE-CE: Visual Contrastive Explanation using Disentangled VAEs Y. Poels Vlado Menkovski CoGe DRL 32 3 0 20 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization Mohammad Mahfujur Rahman Clinton Fookes Sridha Sridharan OOD 20 3 0 20 Aug 2021
Improving Robot Localisation by Ignoring Visual Distraction Oscar Alejandro Mendez Maldonado M. Vowels Richard Bowden 13 1 0 25 Jul 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 20 44 0 09 Jul 2021
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation Xiao Liu Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD 14 48 0 24 Jun 2021
Graph Domain Adaptation: A Generative View Ruichu Cai Fengzhu Wu Zijian Li Pengfei Wei Lingling Yi Kun Zhang OOD 19 37 0 14 Jun 2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation Chenxin Li Qi Qi Xinghao Ding Yue Huang Dong Liang Yizhou Yu OOD 11 64 0 13 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 44 17 0 07 Jun 2021
On the benefits of representation regularization in invariance based domain generalization Changjian Shui Boyu Wang Christian Gagné OOD 19 25 0 30 May 2021
Aggregating From Multiple Target-Shifted Sources Changjian Shui Zijian Li Jiaqi Li Christian Gagné Charles Ling Boyu Wang 41 29 0 09 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 29 39 0 09 May 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 24 1 0 05 Apr 2021
Causal Hidden Markov Model for Time Series Disease Forecasting Jing Li Botong Wu Xinwei Sun Yizhou Wang CML OOD 15 25 0 30 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 30 8 0 12 Mar 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 54 1,170 0 02 Mar 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Domain Invariant Representation Learning with Domain Density Transformations A. Nguyen Toan M. Tran Y. Gal A. G. Baydin OOD 29 74 0 09 Feb 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 21 3 0 23 Jan 2021
Harmonization and the Worst Scanner Syndrome Daniel Moyer Polina Golland 23 6 0 15 Jan 2021
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 23 5 0 19 Dec 2020
Learning Portrait Style Representations Sadat Shaik Bernadette Bucher Nephele Agrafiotis Stephen Phillips Kostas Daniilidis W. Schmenner 16 2 0 08 Dec 2020
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation Qian Wang Fanlin Meng T. Breckon 12 16 0 01 Dec 2020
Deep learning for biomedical photoacoustic imaging: A review J. Gröhl Melanie Schellenberg Kris K. Dreher Lena Maier-Hein 35 191 0 05 Nov 2020