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Domain Generalization

1,834 papers

Papers per year

4
90
293
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'25

Papers

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025
Improving Generalization for AI-Synthesized Voice Detection AAAI 2025
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation AAAI 2025
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection AAAI 2025
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025
DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets AAAI 2025
Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025
CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition AACL 2025
MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language AACL 2025
INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information AACL 2025
Improving Document Retrieval Coherence for Semantically Equivalent Queries AACL 2025
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models AACL 2025
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task? AACL 2025
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models ACL 2025
Enhancing Transformers for Generalizable First-Order Logical Entailment ACL 2025
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025
Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging ACL 2025