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Deepika Vemuri

2 accepted papers

2026

Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning

ICML 2026poster

Learning semantics is essential for deep learning models to be interpretable and better aligned with human reasoning. Concept-based models approach this by representing classes through meaningful semantic abstractions, but typically treat all concepts as a flat, unstructured set learned at a single …

Cited by 0SourceScholar
2025

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models

AAAI 2025technical

Concept-based methods have emerged as a promising direction to develop interpretable neural networks in standard supervised settings. However, most works that study them in incremental settings assume either a static concept set across all experiences or assume that each experience relies on a disti…