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Promises and Pitfalls of Threshold-based Auto-labeling ( NeurIPS 2023)
Mitigating Source Bias for Fairer Weak Supervision (NeurIPS 2023)
Anomaly detection related books, papers, videos, and toolboxes
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…
awesome confidence calibration paper list
Papers and Codes for the deep learning in hyperbolic space
A beautiful, simple, clean, and responsive Jekyll theme for academics
Self-study on Larry Wasserman's "All of Statistics"
Matplotlib styles for scientific plotting
Interpretability and explainability of data and machine learning models