domain-invariant representation

Bridging Domain Invariance and Diversity: A Fine-Grained Risk Bound for Domain Generalization JMLR 2026 COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026 ConLID: Supervised Contrastive Learning for Low-Resource Language Identification EACL 2026 DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection CVPR 2026 Unified Interaction Consistency Learning for Single-Source Domain-Generalized Object Detection in Urban Scene AAAI 2026 Federated Domain Generalization with Data-free On-server Matching Gradient ICLR 2025 Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning AAAI 2025 Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms WACV 2025 Improving Generalization for AI-Synthesized Voice Detection AAAI 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation ICLR 2025 ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection under Domain Shift WACV 2025 Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series ICML 2024 DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection AAAI 2024 Domain Generalization with Vital Phase Augmentation AAAI 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024 HYPO: Hyperspherical Out-Of-Distribution Generalization ICLR 2024 Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024 Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024 Object-Aware Domain Generalization for Object Detection AAAI 2024 Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NeurIPS 2024 Triple Feature Disentanglement for One-Stage Adaptive Object Detection AAAI 2024 Domain Generalization with Interpolation Robustness ACML 2023