David Debot
@daviddebot.bsky.social
PhD student @dtai-kuleuven.bsky.social in neurosymbolic AI and concept-based learning
https://daviddebot.github.io/
https://daviddebot.github.io/
🚨 Interpretable AI often means sacrificing accuracy—but what if we could have both? Most interpretable AI models, like Concept Bottleneck Models, force us to trade accuracy for interpretability.
But not anymore, due to Concept-Based Memory Reasoner (CMR)! #NeurIPS2024 (1/7)
But not anymore, due to Concept-Based Memory Reasoner (CMR)! #NeurIPS2024 (1/7)
December 4, 2024 at 8:46 AM
🚨 Interpretable AI often means sacrificing accuracy—but what if we could have both? Most interpretable AI models, like Concept Bottleneck Models, force us to trade accuracy for interpretability.
But not anymore, due to Concept-Based Memory Reasoner (CMR)! #NeurIPS2024 (1/7)
But not anymore, due to Concept-Based Memory Reasoner (CMR)! #NeurIPS2024 (1/7)