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Found 5 papers, 1 papers with code
Low Resource Quadratic Forms for Knowledge Graph Embeddings
We address the problem of link prediction between entities and relations of knowledge graphs.
Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis
We report empirical results of DEA applied to 14 different language models that have a variety of architectures, and we show that DEA can be used to identify a subset of models that effectively balance resource demands against performance.
Multi Resolution Analysis (MRA) for Approximate Self-Attention
Transformers have emerged as a preferred model for many tasks in natural langugage processing and vision.
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
Metric space magnitude, an active field of research in algebraic topology, is a scalar quantity that summarizes the effective number of distinct points that live in a general metric space.
Practical applications of metric space magnitude and weighting vectors
In a more general setting, the magnitude of a metric space is a real number that aims to quantify the effective number of distinct points in the space.
