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Domain Adaptation

8,656 papers

Papers per year

Papers

Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction AAAI 2024
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024
UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024
Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation AAAI 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems AAAI 2024
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024
Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness AAAI 2024
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024
Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation AAAI 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners AAAI 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning AAAI 2024
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection AAAI 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation AAAI 2024