Conference Information
ARRL 2024: International Workshop on Adaptable, Reliable, and Responsible Learning
https://arrl-icdm.github.io/arrl2024/Submission Date: |
2024-09-10 |
Notification Date: |
2024-10-07 |
Conference Date: |
2024-12-09 |
Location: |
Abu Dhabi, UAE |
Viewed: 508 Tracked: 0 Attend: 0
Call For Papers
Theory, methodology, and resource papers are welcome from any of the following areas, including but not limited to: Adaptable Learning Online/Incremental Learning Transfer Learning and Domain Adaptation Lifelong/Continual/Meta Learning Learning from Heterogeneous and Multi-Modal Data Knowledge Discovery from Multiple Databases Learning with Rejection/Abstention Cross-Domain Data Mining Evolving Data Stream Mining Ensemble Learning in Dynamic Environments Reliable Learning Robustness and Generalization in Data Mining Trustworthiness in Learning-enabled Systems Noise Handling and Outlier/Anomaly Detection Data Wrangling and Munging for Reliable Preprocessing Data Quality Assessment and Assurance Robustness in Graph and Network Mining Uncertainty Quantification and Confidence Estimation in Learning-enabled Systems Learning with Very Few Examples Open-World Learning (Learning in Unexpected/Unknown Environments) Responsible Learning Explainable Learning Modules and Architectures Interpretability of Learning Results Algorithmic Fairness in Data Mining Discrimination-aware Data Mining Privacy-Preserving Data Mining Ethical Data Mining and Data Usage Socio-technical Aspects of Data Mining Bias Detection and Mitigation in Learning-enabled Systems AI for Environmental and Social Sustainability Data Mining for Energy Efficiency and Climate Action
Last updated by Dou Sun in 2024-07-17
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