Suchergebnis | Hamburg Open Science

Facetten

20 Einträge gefunden

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture
2019 - Forschungsinformationssystem der UHH - frei zugänglich
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes
2019 - TUHH Open Research
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
2019 - Forschungsinformationssystem der UHH - frei zugänglich
From Semantics to Execution:Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Localizing salient body motion in multi-person scenes using convolutional neural networks
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid
2019 - TUHH Open Research
Incorporating end-to-end speech recognition models for sentiment analysis
2019 - Forschungsinformationssystem der UHH
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Curious Meta-Controller:Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
2019 - Forschungsinformationssystem der UHH
Continual lifelong learning with neural networks: A review
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Adaptive and variational continuous time recurrent neural networks
2019 - Forschungsinformationssystem der UHH
Bootstrapping knowledge graphs from images and text
2019 - Forschungsinformationssystem der UHH - frei zugänglich
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving
2019 - TUHH Open Research
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
1. Bothe, Chandrakant
2. Wermter, Stefan
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
2019 - TUHH Open Research
Curriculum goal masking for continuous deep reinforcement learning
2019 - TUHH Open Research
Continuous convolutional object tracking in developmental robot scenarios
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Preserving activations in recurrent neural networks based on surprisal
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning
2019 - Forschungsinformationssystem der UHH - frei zugänglich

Aktive Facetten

Facetten

Zugriff

Einrichtung

Medientyp

Karte

Erscheinungsjahr

Autor/in

Sprache

Compositional Learning of Human Activities With a Self-Organizing Neural Architecture

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes

A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

From Semantics to Execution:Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Localizing salient body motion in multi-person scenes using convolutional neural networks

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid

Incorporating end-to-end speech recognition models for sentiment analysis

Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization

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

Continual lifelong learning with neural networks: A review

Adaptive and variational continuous time recurrent neural networks

Bootstrapping knowledge graphs from images and text

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

Curriculum goal masking for continuous deep reinforcement learning

Continuous convolutional object tracking in developmental robot scenarios

Preserving activations in recurrent neural networks based on surprisal

Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning