← Learning Types
Machine Learning › Learning Types ›

Domain Generalization

330 directly classified papers

Papers per year

Papers

Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NIPS 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024
Enhancing Distributional Stability among Sub-populations AISTATS 2024
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024
NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024
Effect-Invariant Mechanisms for Policy Generalization JMLR 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization AAAI 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NIPS 2024
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024
Beyond Document Page Classification: Design, Datasets, and Challenges WACV 2024
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization WACV 2024
Domain Generalization With Correlated Style Uncertainty WACV 2024
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization WACV 2024
Generalizing to Unseen Domains in Diabetic Retinopathy Classification WACV 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024