Domain Adaptation
9,897 papers
Papers per year
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46
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127
208
395
637
757
982
1,022
1,313
1,824
1,944
469
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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