DIVA: Domain Invariant Variational Autoencoders

24 May 2019

Papers citing "DIVA: Domain Invariant Variational Autoencoders"

21 / 121 papers shown

Title
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 26 14 0 04 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization Ziqi Wang Marco Loog Jan van Gemert OOD 16 48 0 15 Oct 2020
Domain Shift in Computer Vision models for MRI data analysis: An Overview E. Kondrateva Marina Pominova E. Popova M. Sharaev A. Bernstein Evgeny Burnaev OOD 8 34 0 14 Oct 2020
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Anand Sontakke Arash Mehrjou Laurent Itti Bernhard Schölkopf CML 17 60 0 07 Oct 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 24 8 0 26 Aug 2020
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging Pulkit Khandelwal Paul Yushkevich OOD 8 37 0 18 Aug 2020
Cross-study learning for generalist and specialist predictions Boyu Ren Prasad Patil Francesca Dominici Giovanni Parmigiani L. Trippa 22 10 0 24 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity Learning Fan Zhou Zhuqing Jiang Changjian Shui Boyu Wang B. Chaib-draa OOD 27 53 0 21 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 26 1,112 0 02 Jul 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 19 325 0 12 Jun 2020
Selecting Data Augmentation for Simulating Interventions Maximilian Ilse Jakub M. Tomczak Patrick Forré OOD CML 23 18 0 04 May 2020
A Causal View on Robustness of Neural Networks Cheng Zhang Kun Zhang Yingzhen Li CML OOD 23 85 0 03 May 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Z. Tu DRL CoGe 34 106 0 02 Apr 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay Qicheng Lao Xiang Jiang Mohammad Havaei Yoshua Bengio VLM 23 33 0 09 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation E. Sanchez M. Serrurier M. Ortner SSL DRL 22 95 0 09 Dec 2019
Semi-Supervised Generative Modeling for Controllable Speech Synthesis Raza Habib Soroosh Mariooryad Matt Shannon Eric Battenberg RJ Skerry-Ryan Daisy Stanton David Kao Tom Bagby BDL 13 48 0 03 Oct 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 21 41 0 01 May 2019