This repository contains the official implementation of IM-Net, a novel proactive meta-learning framework designed to mitigate gradient interference in multi-task recommendation systems. By leveraging ...
Abstract: Few-shot segmentation aims to segment unseen classes with few labeled support sets. Most existing prototype-based approaches struggle to handle image pairings with large intra-class ...
Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.
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