
-
Continual Learning from Synthetic Data for a Humanoid Exercise Robot
In order to detect and correct physical exercises, a Grow-When-Required ...
read it
-
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
Recently, a generative variational autoencoder (VAE) has been proposed f...
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...
read it
-
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
We introduce CharacterGAN, a generative model that can be trained on onl...
read it
-
Hierarchical principles of embodied reinforcement learning: A review
Cognitive Psychology and related disciplines have identified several cri...
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 ...
read it
-
Robotic self-representation improves manipulation skills and transfer learning
Cognitive science suggests that the self-representation is critical for ...
read it
-
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Reinforcement learning is a promising method to accomplish robotic contr...
read it
-
Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
Collaborative interactions require social robots to adapt to the dynamic...
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...
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 ...
read it
-
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Human infants are able to acquire natural language seemingly easily at a...
read it
-
Facial Expression Editing with Continuous Emotion Labels
Recently deep generative models have achieved impressive results in the ...
read it
-
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives
The acquisition of symbolic and linguistic representations of sensorimot...
read it
-
Multimodal Target Speech Separation with Voice and Face References
Target speech separation refers to isolating target speech from a multi-...
read it
-
Curious Hierarchical Actor-Critic Reinforcement Learning
Hierarchical abstraction and curiosity-driven exploration are two common...
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...
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 ...
read it
-
Improved Techniques for Training Single-Image GANs
Recently there has been an interest in the potential of learning generat...
read it
-
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Ensemble methods, traditionally built with independently trained de-corr...
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...
read it
-
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
The recognition of emotion and dialogue acts enrich conversational analy...
read it
-
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Generative adversarial networks conditioned on simple textual image desc...
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...
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...
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...
read it
-
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
Processing human affective behavior is important for developing intellig...
read it
-
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
Adversarial examples are artificially modified input samples which lead ...
read it
-
Towards Learning How to Properly Play UNO with the iCub Robot
While interacting with another person, our reactions and behavior are mu...
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...
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...
read it
-
A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Recent models of emotion recognition strongly rely on supervised deep le...
read it
-
Improving interactive reinforcement learning: What makes a good teacher?
Interactive reinforcement learning has become an important apprenticeshi...
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 ...
read it
-
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
Previous work on emotion recognition demonstrated a synergistic effect o...
read it
-
Generating Multiple Objects at Spatially Distinct Locations
Recent improvements to Generative Adversarial Networks (GANs) have made ...
read it
-
On the role of neurogenesis in overcoming catastrophic forgetting
Lifelong learning capabilities are crucial for artificial autonomous age...
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...
read it
-
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
The efficient integration of multisensory observations is a key property...
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...
read it
-
Curriculum goal masking for continuous deep reinforcement learning
Deep reinforcement learning has recently gained a focus on problems wher...
read it
-
A Deep Neural Model Of Emotion Appraisal
Emotional concepts play a huge role in our daily life since they take pa...
read it
-
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Interactive reinforcement learning (IRL) extends traditional reinforceme...
read it
-
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Most learning algorithms require the practitioner to manually set the va...
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...
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...
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...
read it
-
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
Humans excel at continually acquiring and fine-tuning knowledge over sus...
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...
read it
-
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
Recent approaches for dialogue act recognition have shown that context f...
read it