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  • title: Tri-contrastive Learning: Identifiable Representation Learning with Automatic Feature Importance Discovery
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            Tri-contrastive Learning: Identifiable Representation Learning with Automatic Feature Importance Discovery
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            Tri-contrastive Learning: Identifiable Representation Learning with Automatic Feature Importance Discovery

            Dec 10, 2023

            Speakers

            QZ

            Qi Zhang

            Speaker · 0 followers

            YW

            Yifei Wang

            Speaker · 0 followers

            YW

            Yifei Wang

            Speaker · 0 followers

            About

            Existing contrastive learning methods rely on pairwise sample contrast z_x^⊤ z_x' to learn data representations, but the learned features often lack clear interpretability from a human perspective. Theoretically, it lacks feature identifiability and different initialization may lead to totally different features.In this paper, we study a new method named tri-contrastive learning (triCL) that involves a 3-factor contrast in the form of z_x^⊤ S z_x', where S= diag(s_1,...,s_k) is a learnable diago…

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            NeurIPS 2023

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