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cs.CV2025
What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities
Muchang Bahng, Charlie Berens, Jon Donnelly +3
Species detection is important for monitoring the health of ecosystems and identifying invasive species, serving a crucial role in guiding conservation efforts. Multimodal neural n…
cs.CV2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
Jon Donnelly, Zhicheng Guo, Alina Jade Barnett +3
Interpretability is critical for machine learning models in high-stakes settings because it allows users to verify the model's reasoning. In computer vision, prototypical part mode…