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20162026
most citedOn the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)

44 citations · 120 across the 46 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

stat.ML2017★ 7 cited

Co-Clustering for Multitask Learning

Keerthiram Murugesan, Jaime Carbonell, Yiming Yang

This paper presents a new multitask learning framework that learns a shared representation among the tasks, incorporating both task and feature clusters. The jointly-induced cluste…

stat.ML2017

Self-Paced Multitask Learning with Shared Knowledge

Keerthiram Murugesan, Jaime Carbonell

This paper introduces self-paced task selection to multitask learning, where instances from more closely related tasks are selected in a progression of easier-to-harder tasks, to e…