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Domain Generalization
1760 directly classified papers
Papers per year
2008: 1
2013: 2
2014: 1
2015: 4
2016: 2
2017: 6
2018: 12
2019: 68
2020: 85
2021: 213
2022: 277
2023: 378
2024: 322
2025: 280
2026: 109
Papers
Characterizing Out-of-Distribution Error via Optimal Transport
NIPS 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
NIPS 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NIPS 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
NIPS 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NIPS 2023
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
NIPS 2023
Domain Decorrelation with Potential Energy Ranking
AAAI 2023
CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation
AAAI 2023
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
ACL 2023
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
ACL 2023
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
ACL 2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
CVPR 2023
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
CVPR 2023
Rethinking Federated Learning With Domain Shift: A Prototype View
CVPR 2023
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
CVPR 2023
Improving Generalization With Domain Convex Game
CVPR 2023
Sharpness-Aware Gradient Matching for Domain Generalization
CVPR 2023
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
CVPR 2023
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
CVPR 2023
The s-value: evaluating stability with respect to distributional shifts
NIPS 2023
Parallel-mentoring for Offline Model-based Optimization
NIPS 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models
NIPS 2023
Neural Image Compression: Generalization, Robustness, and Spectral Biases
NIPS 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
NIPS 2023
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
NIPS 2023
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