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Domain Generalization
330 directly classified papers
Papers per year
2013: 1
2017: 1
2018: 5
2019: 5
2020: 13
2021: 35
2022: 56
2023: 60
2024: 95
2025: 57
2026: 2
Papers
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
CVPR 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
WACV 2024
NoisyMix: Boosting Model Robustness to Common Corruptions
AISTATS 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
NIPS 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
NIPS 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization
WACV 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
WACV 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
Single Domain Generalization for Crowd Counting
CVPR 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NIPS 2024
Learning Degradation-Independent Representations for Camera ISP Pipelines
CVPR 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
NIPS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
NIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified
NIPS 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
NIPS 2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
NIPS 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
IJCAI 2024
Dissecting the Failure of Invariant Learning on Graphs
NIPS 2024
A2XP: Towards Private Domain Generalization
CVPR 2024
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
CVPR 2024
Test-Time Domain Generalization for Face Anti-Spoofing
CVPR 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NIPS 2024
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