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

code generation model + WS

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

Learning to Rank in PyTorch

Interpretability and explainability of data and machine learning models