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Jaeseung Park

2 accepted papers

2024

Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks

ICML 2024poster

State-space models (SSMs), such as Mamba (Gu & Dao, 2023), have been proposed as alternatives to Transformer networks in language modeling, incorporating gating, convolutions, and input-dependent token selection to mitigate the quadratic cost of multi-head attention. Although SSMs exhibit competitiv…

2024

Image Clustering Conditioned on Text Criteria

ICLR 2024poster

Classical clustering methods do not provide users with direct control of the clustering results, and the clustering results may not be consistent with the relevant criterion that a user has in mind. In this work, we present a new methodology for performing image clustering based on user-specified cr…