16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Conversational Implicatures: Modelling Relevance Theory Probabilistically
Christoph Unger, Hendrik Buschmeier
Recent advances in Bayesian probability theory and its application to cognitive science in combination with the development of a new generation of computational tools and methods f…
cs.LG2021★ 16 cited
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
Matthias Wess, Matvey Ivanov, Anvesh Nookala +3
With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific appl…