37 citations · 37 across the 2 of their papers we have counts for
3 papers
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
Multi-task learning (MTL) with neural networks leverages commonalities in tasks to improve performance, but often suffers from task interference which reduces the benefits of trans…
e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations
Clemens Rosenbaum, Tian Gao, Tim Klinger
In this paper we present a new dataset and user simulator e-QRAQ (explainable Query, Reason, and Answer Question) which tests an Agent's ability to read an ambiguous text; ask ques…
Deep Reinforcement Learning With Macro-Actions
Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach +1
Deep reinforcement learning has been shown to be a powerful framework for learning policies from complex high-dimensional sensory inputs to actions in complex tasks, such as the At…