domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024

Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NIPS 2024

Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation ACL 2024

ALVIN: Active Learning Via INterpolation EMNLP 2024

The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NIPS 2024

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024

Enhancing Distributional Stability among Sub-populations AISTATS 2024

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024

A Systematic Analysis on the Temporal Generalization of Language Models in Social Media ACL 2024

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024

Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation EMNLP 2024

Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024

A synthetic data approach for domain generalization of NLI models ACL 2024

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models NAACL 2024

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering EACL 2024

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing CVPR 2024

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024

Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024

Supervised Algorithmic Fairness in Distribution Shifts: A Survey IJCAI 2024

Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024

Collaborating Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection NIPS 2024