Reading

Books

• High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications, Wright and Ma
• Probabilistic Machine Learning: An Introduction, Murphy
• Probabilistic Machine Learning: Advanced Topics, Murphy

OOD Detection

• Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

Anomaly Segmentation

• Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

Open Set Recognition

• Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
• The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods

Diffusion Models

• Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
• Understanding Diffusion Models: A Unified Perspective

Semantic Segmentation

• Rethinking Semantic Segmentation: A Prototype View