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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

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts NIPS 2024
PLIP: Language-Image Pre-training for Person Representation Learning NIPS 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment CVPR 2024
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains CVPR 2024
Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization CVPR 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024
Dissecting the Failure of Invariant Learning on Graphs NIPS 2024
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space CVPR 2024
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NIPS 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NIPS 2024
Multilingual Diversity Improves Vision-Language Representations NIPS 2024
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing CVPR 2024
Agnostic Multi-Robust Learning using ERM AISTATS 2024
Parameter Competition Balancing for Model Merging NIPS 2024
MAGIC: Multi-Argument Generation with Self-Refinement for Domain Generalization in Automatic Fact-Checking COLING 2024
COMMA: Co-articulated Multi-Modal Learning AAAI 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models NAACL 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation EMNLP 2024
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024
Is Multiple Object Tracking a Matter of Specialization? NIPS 2024