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out-of-distribution generalization

408 papers

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Also known as

OOD GENERALIZATION

Co-occurring keywords

domain generalization (1522) distribution shift (722) representation learning (6206) spurious correlation (279) causal inference (1630) large language model (13587) graph neural network (3962) domain adaptation (4595) transfer learning (5449) data augmentation (3052)

Papers

Heterogeneous Risk Minimization ICML 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability IJCNLP 2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning IJCNLP 2021
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar AAAI 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021
Meta-Learning to Compositionally Generalize ACL 2021
Entity-Based Knowledge Conflicts in Question Answering EMNLP 2021
Siamese Network with wav2vec Feature for Spoofing Speech Detection INTERSPEECH 2021
Robust Representation Learning via Perceptual Similarity Metrics ICML 2021
An MRF-UNet Product of Experts for Image Segmentation MIDL 2021
Adversarial Invariant Learning CVPR 2021
Introspective Distillation for Robust Question Answering NIPS 2021
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering ICCV 2021
Meta-Learning to Compositionally Generalize IJCNLP 2021
Robust Question Answering Through Sub-part Alignment NAACL 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021
How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction EMNLP 2021
Towards robust vision by multi-task learning on monkey visual cortex NIPS 2021
On Robustness and Transferability of Convolutional Neural Networks CVPR 2021
Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021
Out-of-Distribution Generalization in Kernel Regression NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference NIPS 2021
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NIPS 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization NIPS 2021