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Domain Generalization

330 directly classified papers

Papers per year

Papers

Learning To Diversify for Single Domain Generalization ICCV 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations ICML 2021
SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization ICCV 2021
Generalization in Instruction Following Systems NAACL 2021
Modular Networks for Compositional Instruction Following NAACL 2021
End-to-End Bias Mitigation by Modelling Biases in Corpora ACL 2020
Single-Side Domain Generalization for Face Anti-Spoofing CVPR 2020
Hierarchically Robust Representation Learning CVPR 2020
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation CVPR 2020
DIVA: Domain Invariant Variational Autoencoders MIDL 2020
Domain Generalization Using a Mixture of Multiple Latent Domains AAAI 2020
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks WACV 2020
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020
Open Compound Domain Adaptation CVPR 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering EMNLP 2020
Regularized Fine-Grained Meta Face Anti-Spoofing AAAI 2020
Learning to Learn Single Domain Generalization CVPR 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019
A Domain Generalization Perspective on Listwise Context Modeling AAAI 2019
Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019
Domain Generalization via Multidomain Discriminant Analysis UAI 2019
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets ICCV 2019
MetaReg: Towards Domain Generalization using Meta-Regularization NIPS 2018
Learning to Reconstruct Shapes from Unseen Classes NIPS 2018