DIVA: Domain Invariant Variational Autoencoders

24 May 2019

Papers citing "DIVA: Domain Invariant Variational Autoencoders"

50 / 121 papers shown

Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders R. A. Mancisidor Robert Jenssen Shujian Yu Michael C. Kampffmeyer 27 0 0 02 May 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 46 0 0 29 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments Hanyu Duan Yi Yang Ahmed Abbasi Kar Yan Tam OOD 95 0 0 05 Mar 2025
Building 3D In-Context Learning Universal Model in Neuroimaging Jiesi Hu Hanyang Peng Yanwu Yang Xutao Guo Yang Shang P. Shi Chenfei Ye Ting Ma 67 0 0 04 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 174 0 0 27 Feb 2025
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 73 0 0 15 Dec 2024
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization Pengkun Jiao Na Zhao Jingjing Chen Yu-Gang Jiang OOD 41 0 0 05 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models Gabriel Jarry Ramon Dalmau Philippe Very Junzi Sun AI4TS 25 0 0 10 Oct 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 36 0 0 13 Jun 2024
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale Pol Timmer Koen Minartz Vlado Menkovski AI4CE 43 0 0 26 May 2024
DomainLab: A modular Python package for domain generalization in deep learning Xudong Sun Carla Feistner Alexej Gossmann George Schwarz Rao Muhammad Umer ... A. Gruber Nutan Chen Sayedali Shetab Boushehri Florian Buettner Carsten Marr OOD 30 0 0 21 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 24 0 0 20 Mar 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
A Generative Model of Symmetry Transformations J. Allingham Bruno Mlodozeniec Shreyas Padhy Javier Antorán David Krueger Richard E. Turner Eric T. Nalisnick José Miguel Hernández-Lobato GAN 45 3 0 04 Mar 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain Xiaohe Li Feilong Huang Zide Fan Fangli Mou Yingyan Hou Chen Qian Lijie Wen 21 1 0 13 Feb 2024
Generalizing across Temporal Domains with Koopman Operators Qiuhao Zeng Wei Wang Fan Zhou Gezheng Xu Ruizhi Pu Changjian Shui Christian Gagné Shichun Yang Boyu Wang Charles Ling OOD AI4CE 31 7 0 12 Feb 2024
A Survey on Domain Generalization for Medical Image Analysis Ziwei Niu Shuyi Ouyang Shiao Xie Yen-wei Chen Lanfen Lin OOD LM&MA 27 5 0 07 Feb 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations Binghui Xie Yongqiang Chen Jiaqi Wang Kaiwen Zhou Bo Han Wei Meng James Cheng 41 5 0 16 Jan 2024
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization Songming Zhang Yuxiao Luo Qizhou Wang Haoang Chi Xiaofeng Chen Bo Han Jinyan Li OODD 30 0 0 25 Dec 2023
Bayesian Transfer Learning Piotr M. Suder Jason Xu David B. Dunson 36 5 0 20 Dec 2023
Description Generation using Variational Auto-Encoders for precursor microRNA Marko Petković Vlado Menkovski DRL 18 0 0 29 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 32 1 0 25 Oct 2023
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin CML 20 4 0 10 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 40 4 0 05 Oct 2023
C $^2$ VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior Zhangkai Wu LongBing Cao CoGe CML DRL 13 1 0 23 Sep 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 24 3 0 22 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 39 5 0 20 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 28 4 0 09 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 27 10 0 08 Sep 2023
Phase Matching for Out-of-Distribution Generalization Chengming Hu Ye Du Rui Wang Hao Chen OOD 28 0 0 24 Jul 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 26 9 0 02 Jun 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 42 5 0 25 May 2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier Niranjani Prasad Paidamoyo Chapfuwa Sahra Ghalebikesabi Maximilian Ilse ... R. Elyanow Javier Zazo Javier González J. Greissl Edward Meeds 24 7 0 26 Apr 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues Mohamed Akrout Amal Feriani F. Bellili A. Mezghani E. Hossain OOD AI4CE 37 26 0 13 Mar 2023
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability Yuxin Li Hang Zhou Yibo Gao Xiahai Zhuang OOD 43 5 0 03 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 43 20 0 28 Feb 2023
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization Honglin Wu Xueqiong Li Long Lan Liyang Xu Yuhua Tang 19 0 0 18 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 31 19 0 13 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 23 2 0 10 Feb 2023
Learning Data Representations with Joint Diffusion Models Kamil Deja Tomasz Trzciñski Jakub M. Tomczak DiffM 30 15 0 31 Jan 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 26 21 0 30 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 21 3 0 29 Jan 2023
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain Ziqi Yu Xiaoyang Han Shengjie Zhang Jianfeng Feng Tingying Peng Xiao-Yong Zhang 26 13 0 04 Dec 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 16 0 0 22 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 24 7 0 15 Nov 2022