Louis Béthune
3 papers in the PaperMetrix corpus
Papers by this author
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CRAFT: Concept Recursive Activation FacTorization for Explainability
2022 · arXiv (Cornell University)
Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity as a type of explainability method. However, recent research has exposed the limited …
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Understanding Visual Feature Reliance through the Lens of Complexity
2024 · arXiv (Cornell University)
Recent studies suggest that deep learning models inductive bias towards favoring simpler features may be one of the sources of shortcut learning. Yet, there has been limited focus on understanding the complexity of the myriad …
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Multimodal Autoregressive Pre-training of Large Vision Encoders
2024 · arXiv (Cornell University)
We introduce a novel method for pre-training of large-scale vision encoders. Building on recent advancements in autoregressive pre-training of vision models, we extend this framework to a multimodal setting, i.e., images and text. In this …