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domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval EMNLP 2022
Few-Shot (Dis)Agreement Identification in Online Discussions with Regularized and Augmented Meta-Learning EMNLP 2022
Understanding Simultaneous Train and Test Robustness ALT 2022
Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches AACL 2022
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022
TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting CVPR 2022
Causality Inspired Representation Learning for Domain Generalization CVPR 2022
Proactive Image Manipulation Detection CVPR 2022
Cross-Domain Few-Shot Learning With Task-Specific Adapters CVPR 2022
Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition COLING 2022
Heterogeneous Target Speech Separation INTERSPEECH 2022
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers INTERSPEECH 2022
Learning Generalizable Part-based Feature Representation for 3D Point Clouds NIPS 2022
Invariance Learning based on Label Hierarchy NIPS 2022
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NIPS 2022
On Feature Learning in the Presence of Spurious Correlations NIPS 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation NIPS 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
Domain Generalization by Learning and Removing Domain-specific Features NIPS 2022
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift NIPS 2022
Learning Substructure Invariance for Out-of-Distribution Molecular Representations NIPS 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts NIPS 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NIPS 2022
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NIPS 2022