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Found 3 papers, 1 papers with code
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness
In this paper, we focus on the case of document conversion to illustrate the particular challenges of scaling a complex data processing pipeline with a strong reliance on machine-learning methods on cloud infrastructure.
On uniformly continuous endomorphisms of hyperbolic groups
We prove a generalization of the fellow traveller property for a certain type of quasi-geodesics and use it to present three equivalent geometric formulations of the bounded reduction property and prove that it is equivalent to preservation of a coarse median.
Group Theory Metric Geometry 20F67, 20E36, 51M10
Transfer Learning for Algorithm Recommendation
Thus, we train a neural network on meta-datasets related to algorithm recommendation, and then using transfer learning, we reuse the knowledge learned by the neural network in other similar datasets from the same domain, to verify how transferable is the acquired meta-knowledge.
