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Domain Generalization

330 directly classified papers

Papers per year

Papers

Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective EMNLP 2025
From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction ACL 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization WACV 2025
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection ACL 2025
A Dataset for Semantic Segmentation in the Presence of Unknowns CVPR 2025
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization WACV 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation CVPR 2024
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning CVPR 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024
Generalizing to Unseen Domains in Diabetic Retinopathy Classification WACV 2024
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation CVPR 2024
Disentangled Prompt Representation for Domain Generalization CVPR 2024
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention CVPR 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024
Towards Generalizable Multi-Object Tracking CVPR 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning CVPR 2024