4 papers · 1 filter
Input- and Feature-Space Correction for Cross-Hospital IHC Grading
Jongwoon Lee, Jhair Gallardo, Christopher Kanan
Pathology foundation models (FMs) are trained predominantly on hematoxylin and eosin (H&E) images but are increasingly used as frozen feature extractors for immunohistochemistry (I…
LayerRoPE: Dynamic Depth-wise Magnitude & Angular Superposition
Shikhar Srivastava, Christopher Kanan
As data propagates through a Transformer, the norm of its hidden states grows by orders of magnitude with depth, a phenomenon framed as 'curse of depth' and nearly universally trea…
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
Katarzyna Filus, Kamil Faber, Roberto Corizzo +1
Continual learning studies how models can adapt to new tasks while retaining previously acquired knowledge. Although a broad spectrum of methods has been proposed to mitigate catas…
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
Junyu Chen, Md Yousuf Harun, Christopher Kanan
The original ImageNet benchmark enforces a single-label assumption, despite many images depicting multiple objects. This leads to label noise and limits the richness of the learnin…