domain adaptation

4578 papers

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Also known as

DANN UNIDA UDA DA DAPT

Co-occurring keywords

transfer learning (5442) unsupervised learning (3255) large language model (12755) semantic segmentation (3179) domain generalization (1517) representation learning (6174) neural machine translation (2310) adversarial learning (1592) text classification (6776) knowledge distillation (3680)

Papers

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning IJCAI 2024

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NIPS 2024

PsychoLex: Unveiling the Psychological Mind of Large Language Models EMNLP 2024

Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs EMNLP 2024

Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NIPS 2024

Enhancing Legal Expertise in Large Language Models through Composite Model Integration: The Development and Evaluation of Law-Neo EMNLP 2024

Schema-Driven Information Extraction from Heterogeneous Tables EMNLP 2024

A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents IJCAI 2024

Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NIPS 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NIPS 2024

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NIPS 2024

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract) AAAI 2023

Uncovering Adversarial Risks of Test-Time Adaptation ICML 2023

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models ICML 2023

A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment ICML 2023

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023

Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023

Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023

Robustness in Multimodal Learning under Train-Test Modality Mismatch ICML 2023

Improving Fair Training under Correlation Shifts ICML 2023

Double-Weighting for Covariate Shift Adaptation ICML 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation ICML 2023

On Pitfalls of Test-Time Adaptation ICML 2023