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20162025
most citedAdapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

134 citations · 182 across the 13 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks

David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez

Designing neural network architectures is a challenging task and knowing which specific layers of a model must be adapted to improve the performance is almost a mystery. In this pa…

cs.CV2020

Evaluating the Progress of Deep Learning for Visual Relational Concepts

Sebastian Stabinger, Peer David, Justus Piater +1

Convolutional Neural Networks (CNNs) have become the state of the art method for image classification in the last ten years. Despite the fact that they achieve superhuman classific…