Paper-Conference

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection

From Logits to Hierarchies: Hierarchical Clustering made Simple

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion

Stochastic Concept Bottleneck Models

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Tree Variational Autoencoders

This Reads Like That: Deep Learning for Interpretable Natural Language Processing