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Found 2 papers, 2 papers with code
Modulate Your Spectrum in Self-Supervised Learning
In this work, we introduce Spectral Transformation (ST), a framework to modulate the spectrum of embedding and to seek for functions beyond whitening that can avoid dimensional collapse.
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
In this paper, we first theoretically show that the transitive relations can be modeled with projections.
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