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Machine Learning
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Application Areas
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
AAAI 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
AAAI 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
AAAI 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search
AAAI 2024
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
AAAI 2024
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
AAAI 2024
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
AAAI 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
AAAI 2024
Mixup-Induced Domain Extrapolation for Domain Generalization
AAAI 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
AAAI 2024
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting
AAAI 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
AAAI 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
AAAI 2024
Inverse Weight-Balancing for Deep Long-Tailed Learning
AAAI 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
AAAI 2024
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
AAAI 2024
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
AAAI 2024
Fairness without Demographics through Shared Latent Space-Based Debiasing
AAAI 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
AAAI 2024
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
AAAI 2024
Agile Multi-Source-Free Domain Adaptation
AAAI 2024
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