Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Application Areas
Machine Learning
›
Application Areas
›
Domain Generalization
1760 directly classified papers
Papers per year
2008: 1
2013: 2
2014: 1
2015: 4
2016: 2
2017: 6
2018: 12
2019: 68
2020: 85
2021: 213
2022: 277
2023: 378
2024: 322
2025: 280
2026: 109
Papers
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
ACL 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
ICCV 2025
The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI)
IJCNLP 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
AAAI 2025
Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging
ACL 2025
Gait-X: Exploring X modality for Generalized Gait Recognition
ICCV 2025
Learning Semantic Part-Based Graph Structure for 3D Point Cloud Domain Generalization
WACV 2025
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining
AAAI 2025
GUI-Xplore: Empowering Generalizable GUI Agents with One Exploration
CVPR 2025
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
IJCAI 2025
AdaDCP: Learning an Adapter with Discrete Cosine Prior for Clear-to-Adverse Domain Generalization
ICCV 2025
Cross-Category Subjectivity Generalization for Style-Adaptive Sketch Re-ID
ICCV 2025
SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
ACL 2025
iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object via Iterative 3D Gaussian Splatting
CVPR 2025
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World
AAAI 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AAAI 2024
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
AAAI 2024
Causally Inspired Regularization Enables Domain General Representations
AISTATS 2024
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
AAAI 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NIPS 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
AISTATS 2024
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains
AAAI 2024
<
1
…
15
16
17
…
71
>