Stefan Wermter

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University of Hamburg

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

Survey on reinforcement learning for language processing

In recent years some researchers have explored the use of reinforcement ...
04/12/2021 ∙ by Víctor Uc-Cetina, et al. ∙ 0 ∙ share

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Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...
03/29/2021 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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Exercise with Social Robots: Companion or Coach?

In this paper, we investigate the roles that social robots can take in p...
03/24/2021 ∙ by Sascha Griffiths, et al. ∙ 0 ∙ share

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A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

In domains where computational resources and labeled data are limited, s...
03/23/2021 ∙ by Henrique Siqueira, et al. ∙ 0 ∙ share

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Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

Effectively recognising and applying emotions to interactions is a highl...
03/05/2021 ∙ by Henrique Siqueira, et al. ∙ 0 ∙ share

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An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions

Social robots able to continually learn facial expressions could progres...
03/05/2021 ∙ by Henrique Siqueira, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Stefan Wermter

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