Domain Generalization
1,972 papers
Papers per year
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Papers
Self-supervised Debiasing Using Low Rank Regularization
CVPR 2024
Self-Supervised Learning for Place Representation Generalization Across Appearance Changes
WACV 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English
Interspeech 2024
Semantic Transfer From Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition
WACV 2024
Shape-Biased CNNs Are Not Always Superior in Out-of-Distribution Robustness
WACV 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NeurIPS 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
WACV 2024
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
NAACL 2024
Single Domain Generalization for Crowd Counting
CVPR 2024
Single Domain Generalization via Normalised Cross-Correlation Based Convolutions
WACV 2024
Spurious Feature Diversification Improves Out-of-distribution Generalization
ICLR 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
NeurIPS 2024
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments
IJCAI 2024
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
CVPR 2024
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning
CVPR 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization
WACV 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
IJCAI 2024
SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition
NeurIPS 2024
Symmetric Self-Paced Learning for Domain Generalization
AAAI 2024
TableLlama: Towards Open Large Generalist Models for Tables
NAACL 2024
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
AAAI 2024
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding
CVPR 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
NeurIPS 2024