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Domain Generalization

1760 directly classified papers

Papers per year

Papers

Okapi: Generalising Better by Making Statistical Matches Match NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations? NIPS 2022
Formulating Robustness Against Unforeseen Attacks NIPS 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
Watermarking for Out-of-distribution Detection NIPS 2022
Contrastive Adapters for Foundation Model Group Robustness NIPS 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NIPS 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NIPS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NIPS 2022
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers INTERSPEECH 2022
Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer CVPR 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks CVPR 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NIPS 2022
Learning Generalizable Part-based Feature Representation for 3D Point Clouds NIPS 2022
Heterogeneous Target Speech Separation INTERSPEECH 2022
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification NIPS 2022
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022
PoF: Post-Training of Feature Extractor for Improving Generalization ICML 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022
Combining Diverse Feature Priors ICML 2022