We have 3 of 7 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A large-scale empirical study reimplementing 19 high-impact multimodal methods across nine diverse datasets with up to 23 modalities argues for a shift in focus for multimodal learning: away from the pursuit of architectural novelty and toward methodological rigor.
Multimodal contrastive learning typically relies on manually specified scoring functions, such as cosine similarity, to quantify the similarity between representations from different modalities. Several such functions have been recently proposed to extend contrastive learning beyond two modalities. In principle, howeve...
This work introduces geometry-preserving encoders (GPEs) by directly conditioning the Jacobian through regularization and demonstrating that simple modifications like LeakyReLU activations and residual paths recover these geometric benefits.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
