Stefan Wermter

is this you? claim profile

∙ 0 followers
University of Hamburg

Full Professor in Computer Science, Head of Knowledge Technology Institute at University of Hamburg

Continual Learning from Synthetic Data for a Humanoid Exercise Robot

In order to detect and correct physical exercises, a Grow-When-Required ...
02/19/2021 ∙ by Nicolas Duczek, et al. ∙ 0 ∙ share

read it
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder

Recently, a generative variational autoencoder (VAE) has been proposed f...
02/17/2021 ∙ by Huajian Fang, et al. ∙ 0 ∙ share

read it
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

Using a model of the environment, reinforcement learning agents can plan...
02/10/2021 ∙ by Julien Scholz, et al. ∙ 0 ∙ share

read it
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

We introduce CharacterGAN, a generative model that can be trained on onl...
02/05/2021 ∙ by Tobias Hinz, et al. ∙ 0 ∙ share

read it
Hierarchical principles of embodied reinforcement learning: A review

Cognitive Psychology and related disciplines have identified several cri...
12/18/2020 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

read it
Sensorimotor representation learning for an "active self" in robots: A model survey

Safe human-robot interactions require robots to be able to learn how to ...
11/25/2020 ∙ by Phuong D. H. Nguyen, et al. ∙ 0 ∙ share

read it
Robotic self-representation improves manipulation skills and transfer learning

Cognitive science suggests that the self-representation is critical for ...
11/13/2020 ∙ by Phuong D. H. Nguyen, et al. ∙ 0 ∙ share

read it
Reinforcement Learning with Time-dependent Goals for Robotic Musicians

Reinforcement learning is a promising method to accomplish robotic contr...
11/11/2020 ∙ by Thilo Fryen, et al. ∙ 0 ∙ share

read it
Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions

Collaborative interactions require social robots to adapt to the dynamic...
10/14/2020 ∙ by Nikhil Churamani, et al. ∙ 1 ∙ share

read it
Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction

Explainable artificial intelligence (XAI) can help foster trust in and a...
10/09/2020 ∙ by Tom Weber, et al. ∙ 0 ∙ share

read it
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks

We present a follow-up study on our unified visuomotor neural model for ...
09/26/2020 ∙ by Matthias Kerzel, et al. ∙ 3 ∙ share

read it
Crossmodal Language Grounding in an Embodied Neurocognitive Model

Human infants are able to acquire natural language seemingly easily at a...
06/24/2020 ∙ by Stefan Heinrich, et al. ∙ 5 ∙ share

read it
Facial Expression Editing with Continuous Emotion Labels

Recently deep generative models have achieved impressive results in the ...
06/22/2020 ∙ by Alexandra Lindt, et al. ∙ 10 ∙ share

read it
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

The acquisition of symbolic and linguistic representations of sensorimot...
06/20/2020 ∙ by Junpei Zhong, et al. ∙ 5 ∙ share

read it
Multimodal Target Speech Separation with Voice and Face References

Target speech separation refers to isolating target speech from a multi-...
05/17/2020 ∙ by Leyuan Qu, et al. ∙ 0 ∙ share

read it
Curious Hierarchical Actor-Critic Reinforcement Learning

Hierarchical abstraction and curiosity-driven exploration are two common...
05/07/2020 ∙ by Frank Röder, et al. ∙ 18 ∙ share

read it
Explainable Goal-Driven Agents and Robots – A Comprehensive Review and New Framework

Recent applications of autonomous agents and robots, for example, self-d...
04/21/2020 ∙ by Fatai Sado, et al. ∙ 1 ∙ share

read it
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Combining model-based and model-free learning systems has been shown to ...
04/19/2020 ∙ by Muhammad Burhan Hafez, et al. ∙ 2 ∙ share

read it
Improved Techniques for Training Single-Image GANs

Recently there has been an interest in the potential of learning generat...
03/25/2020 ∙ by Tobias Hinz, et al. ∙ 13 ∙ share

read it
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Ensemble methods, traditionally built with independently trained de-corr...
01/17/2020 ∙ by Henrique Siqueira, et al. ∙ 10 ∙ share

read it
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach

Whenever we are addressing a specific object or refer to a certain spati...
12/13/2019 ∙ by Doreen Jirak, et al. ∙ 16 ∙ share

read it
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators

The recognition of emotion and dialogue acts enrich conversational analy...
12/02/2019 ∙ by Chandrakant Bothe, et al. ∙ 13 ∙ share

read it
Semantic Object Accuracy for Generative Text-to-Image Synthesis

Generative adversarial networks conditioned on simple textual image desc...
10/29/2019 ∙ by Tobias Hinz, et al. ∙ 10 ∙ share

read it
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Combining model-based and model-free deep reinforcement learning has sho...
10/10/2019 ∙ by Muhammad Burhan Hafez, et al. ∙ 3 ∙ share

read it
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

Selective attention plays an essential role in information acquisition a...
09/05/2019 ∙ by Di Fu, et al. ∙ 10 ∙ share

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

The complexity of bipedal locomotion may be attributed to the difficulty...
09/02/2019 ∙ by Sayantan Auddy, et al. ∙ 2 ∙ share

read it
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Processing human affective behavior is important for developing intellig...
08/30/2019 ∙ by Pablo Barros, et al. ∙ 6 ∙ share

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

Adversarial examples are artificially modified input samples which lead ...
08/21/2019 ∙ by Marcus Soll, et al. ∙ 1 ∙ share

read it
Towards Learning How to Properly Play UNO with the iCub Robot

While interacting with another person, our reactions and behavior are mu...
08/02/2019 ∙ by Pablo Barros, et al. ∙ 3 ∙ share

read it
From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use

Reinforcement learning is an appropriate and successful method to robust...
05/23/2019 ∙ by Manfred Eppe, et al. ∙ 6 ∙ share

read it
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning

Recent success in deep reinforcement learning for continuous control has...
05/05/2019 ∙ by Muhammad Burhan Hafez, et al. ∙ 10 ∙ share

read it
A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Recent models of emotion recognition strongly rely on supervised deep le...
04/23/2019 ∙ by Pablo Barros, et al. ∙ 26 ∙ share

read it
Improving interactive reinforcement learning: What makes a good teacher?

Interactive reinforcement learning has become an important apprenticeshi...
04/15/2019 ∙ by Francisco Cruz, et al. ∙ 4 ∙ share

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

In this paper, we describe KT-Speech-Crawler: an approach for automatic ...
03/01/2019 ∙ by Egor Lakomkin, et al. ∙ 0 ∙ share

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

Previous work on emotion recognition demonstrated a synergistic effect o...
02/28/2019 ∙ by Egor Lakomkin, et al. ∙ 0 ∙ share

read it
Generating Multiple Objects at Spatially Distinct Locations

Recent improvements to Generative Adversarial Networks (GANs) have made ...
01/03/2019 ∙ by Tobias Hinz, et al. ∙ 10 ∙ share

read it
On the role of neurogenesis in overcoming catastrophic forgetting

Lifelong learning capabilities are crucial for artificial autonomous age...
11/06/2018 ∙ by German I. Parisi, et al. ∙ 2 ∙ share

read it
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning

In this paper, we present a new intrinsically motivated actor-critic alg...
10/26/2018 ∙ by Muhammad Burhan Hafez, et al. ∙ 6 ∙ share

read it
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

The efficient integration of multisensory observations is a key property...
10/15/2018 ∙ by Di Fu, et al. ∙ 0 ∙ share

read it
Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots

Service robots need to show appropriate social behavior in order to depl...
09/19/2018 ∙ by Chandrakant Bothe, et al. ∙ 1 ∙ share

read it
Curriculum goal masking for continuous deep reinforcement learning

Deep reinforcement learning has recently gained a focus on problems wher...
09/17/2018 ∙ by Manfred Eppe, et al. ∙ 0 ∙ share

read it
A Deep Neural Model Of Emotion Appraisal

Emotional concepts play a huge role in our daily life since they take pa...
08/01/2018 ∙ by Pablo Barros, et al. ∙ 4 ∙ share

read it
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning

Interactive reinforcement learning (IRL) extends traditional reinforceme...
07/26/2018 ∙ by Francisco Cruz, et al. ∙ 0 ∙ share

read it
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

Most learning algorithms require the practitioner to manually set the va...
07/19/2018 ∙ by Tobias Hinz, et al. ∙ 0 ∙ share

read it
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception

Our daily perceptual experience is driven by different neural mechanisms...
07/13/2018 ∙ by German I. Parisi, et al. ∙ 0 ∙ share

read it
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot

We present a novel approach for interactive auditory object analysis wit...
07/03/2018 ∙ by Manfred Eppe, et al. ∙ 2 ∙ share

read it
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs

Spoken language understanding is one of the key factors in a dialogue sy...
06/29/2018 ∙ by Chandrakant Bothe, et al. ∙ 1 ∙ share

read it
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

Humans excel at continually acquiring and fine-tuning knowledge over sus...
05/28/2018 ∙ by German I. Parisi, et al. ∙ 0 ∙ share

read it
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Dialogue act recognition is an important part of natural language unders...
05/16/2018 ∙ by Chandrakant Bothe, et al. ∙ 1 ∙ share

read it
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Recent approaches for dialogue act recognition have shown that context f...
05/16/2018 ∙ by Chandrakant Bothe, et al. ∙ 1 ∙ share

read it

Stefan Wermter

Featured Co-authors