activity
20172022
most citedAccelerating Deep Reinforcement Learning strategies of Flow Control through a multi-environment approach

218 citations · 811 across the 15 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.CL2017

Deep learning evaluation using deep linguistic processing

Alexander Kuhnle, Ann Copestake

We discuss problems with the standard approaches to evaluation for tasks like visual question answering, and argue that artificial data can be used to address these as a complement…

cs.CL2017★ 46 cited

ShapeWorld - A new test methodology for multimodal language understanding

Alexander Kuhnle, Ann Copestake

We introduce a novel framework for evaluating multimodal deep learning models with respect to their language understanding and generalization abilities. In this approach, artificia…