activity
20182026
most citedSpeeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

97 citations · 239 across the 26 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 2 cited

EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Chandrakant Bothe, Cornelius Weber, Sven Magg +1

The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and di…

cs.NE2019

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks

Sayantan Auddy, Sven Magg, Stefan Wermter

The complexity of bipedal locomotion may be attributed to the difficulty in synchronizing joint movements while at the same time achieving high-level objectives such as walking in…

cs.CL2019★ 1 cited

Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

Marcus Soll, Tobias Hinz, Sven Magg +1

Adversarial examples are artificially modified input samples which lead to misclassifications, while not being detectable by humans. These adversarial examples are a challenge for…

cs.AI2019★ 45 cited

Improving interactive reinforcement learning: What makes a good teacher?

Francisco Cruz, Sven Magg, Yukie Nagai +1

Interactive reinforcement learning has become an important apprenticeship approach to speed up convergence in classic reinforcement learning problems. In this regard, a variant of…

cs.CL2019★ 2 cited

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos

Egor Lakomkin, Sven Magg, Cornelius Weber +1

In this paper, we describe KT-Speech-Crawler: an approach for automatic dataset construction for speech recognition by crawling YouTube videos. We outline several filtering and pos…

cs.CL2019

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis

Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2

Previous work on emotion recognition demonstrated a synergistic effect of combining several modalities such as auditory, visual, and transcribed text to estimate the affective stat…