97 citations · 239 across the 26 of their papers we have counts for
10 papers · 1 filter
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
Di Fu, Pablo Barros, German I. Parisi +4
The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perc…
Curriculum goal masking for continuous deep reinforcement learning
Manfred Eppe, Sven Magg, Stefan Wermter
Deep reinforcement learning has recently gained a focus on problems where policy or value functions are independent of goals. Evidence exists that the sampling of goals has a stron…
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
Most learning algorithms require the practitioner to manually set the values of many hyperparameters before the learning process can begin. However, with modern algorithms, the eva…
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs
Chandrakant Bothe, Sven Magg, Cornelius Weber +1
Spoken language understanding is one of the key factors in a dialogue system, and a context in a conversation plays an important role to understand the current utterance. In this w…
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
Chandrakant Bothe, Sven Magg, Cornelius Weber +1
Recent approaches for dialogue act recognition have shown that context from preceding utterances is important to classify the subsequent one. It was shown that the performance impr…
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks
Chandrakant Bothe, Cornelius Weber, Sven Magg +1
Dialogue act recognition is an important part of natural language understanding. We investigate the way dialogue act corpora are annotated and the learning approaches used so far.…