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
SeaClips: A Video Dataset for Maritime Object Detection.
WACV 2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
WACV 2026
From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2
WACV 2026
Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?
WACV 2026
Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise
AAAI 2026
Analysing Satellite Imagery Classification Under Spatial Domain Shift Across Geographic Regions (Abstract Reprint)
AAAI 2026
Experience with Single Domain Generalization in Real World Medical Imaging Deployments
AAAI 2026
Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
AAAI 2026
GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
AAAI 2026
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
AAAI 2026
MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models
AAAI 2026
TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning
AAAI 2026
Scaling Cultural Resources for Improving Generative Models
EACL 2026
From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
AAAI 2026
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
AAAI 2026
Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning
AAAI 2026
Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
AAAI 2026
Distribution Shift Is Key to Learning Invariant Prediction
AAAI 2026
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
AAAI 2026
FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining
AAAI 2026
SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias
AAAI 2026
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
AAAI 2026
Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
AAAI 2026
Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation
AAAI 2026
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
AAAI 2026
<
1
2
3
4
5
…
71
>