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Domain Adaptation

9,897 papers

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Papers

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NeurIPS 2024 Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction EMNLP 2024 Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model ACL 2024 Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation AAAI 2024 Can LLMs Handle Low-Resource Dialects? A Case Study on Translation and Common Sense Reasoning in Šariš NAACL 2024 CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues EMNLP 2024 Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? ICLR 2024 Can We Leave Deepfake Data Behind in Training Deepfake Detector? NeurIPS 2024 CARE: A Clue-guided Assistant for CSRs to Read User Manuals ACL 2024 CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024 CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling ICML 2024 Category-Aware Active Domain Adaptation ICML 2024 Category-Level Multi-Part Multi-Joint 3D Shape Assembly CVPR 2024 CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection CVPR 2024 CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration EACL 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series ICML 2024 Causal Action Influence Aware Counterfactual Data Augmentation ICML 2024 Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model NeurIPS 2024 Causal discovery in a complex industrial system: A time series benchmark CLeaR 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Causal Optimal Transport of Abstractions CLeaR 2024 Causal Representation Learning from Multiple Distributions: A General Setting ICML 2024 Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks ECCV 2024 CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders. NAACL 2024 CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition NeurIPS 2024