3 papers
cs.LG2026
Explaining Grokking in Transformers through the Lens of Inductive Bias
Jaisidh Singh, Diganta Misra, Antonio Orvieto
We investigate grokking in transformers through the lens of inductive bias: dispositions arising from architecture or optimization that let the network prefer one solution over ano…
cs.CV2025
(Almost) Free Modality Stitching of Foundation Models
Jaisidh Singh, Diganta Misra, Boris Knyazev +1
Foundation multi-modal models are often designed by stitching of multiple existing pretrained uni-modal models: for example, an image classifier with an text model. This stitching…
cs.CV2024
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation
Jaisidh Singh, Sonam Singh, Amit Arvind Kale +1
This paper presents a novel method for discovering systematic errors in segmentation models. For instance, a systematic error in the segmentation model can be a sufficiently large…