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08/25/2023
Learning to Intervene on Concept Bottlenecks
While traditional deep learning models often lack interpretability, conc...
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11/16/2022
Boosting Object Representation Learning via Motion and Object Continuity
Recent unsupervised multi-object detection models have shown impressive ...
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10/19/2022
Revision Transformers: Getting RiT of No-Nos
Current transformer language models (LM) are large-scale models with bil...
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03/04/2022
A Typology to Explore and Guide Explanatory Interactive Machine Learning
Recently, more and more eXplanatory Interactive machine Learning (XIL) m...
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12/04/2021
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Learning visual concepts from raw images without strong supervision is a...
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10/07/2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming
The goal of combining the robustness of neural networks and the expressi...
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11/25/2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Most explanation methods in deep learning map importance estimates for a...
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01/15/2020