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Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
Human multi-robot system (MRS) collaboration is demonstrating potentials...
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Isconna: Streaming Anomaly Detection with Frequency and Patterns
An edge stream is a common form of presentation of dynamic networks. It ...
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Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
Emotional text-to-speech synthesis (ETTS) has seen much progress in rece...
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Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model
In human-robot collaboration (HRC), human trust in the robot is the huma...
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Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments
As multi-robot systems (MRS) are widely used in various tasks such as na...
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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Conditional generative adversarial networks (cGANs) target at synthesizi...
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A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
To control part quality, it is critical to analyze pore generation mecha...
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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
Emotional voice conversion aims to transform emotional prosody in speech...
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Temporal Difference Learning as Gradient Splitting
Temporal difference learning with linear function approximation is a pop...
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Adam with Bandit Sampling for Deep Learning
Adam is a widely used optimization method for training deep learning mod...
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GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis
Attention-based end-to-end text-to-speech synthesis (TTS) is superior to...
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Real-Time Streaming Anomaly Detection in Dynamic Graphs
Given a stream of graph edges from a dynamic graph, how can we assign an...
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Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion
We study alternating minimization for matrix completion in the simplest ...
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Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS
Tacotron-based end-to-end speech synthesis has shown remarkable voice qu...
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Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Recently, there has been increasing interest in transparency and interpr...
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Expressive TTS Training with Frame and Style Reconstruction Loss
We propose a novel training strategy for Tacotron-based text-to-speech (...
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Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning
With the advantages of member diversity and team scale, heterogeneous mu...
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Trust Aware Emergency Response for A Resilient Human-Swarm Cooperative System
A human-swarm cooperative system, which mixes multiple robots and a huma...
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Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine
Making accurate multi-step-ahead prediction for a complex system is a ch...
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StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
Large-scale synthetic datasets are beneficial to stereo matching but usu...
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Keyphrase Prediction With Pre-trained Language Model
Recently, generative methods have been widely used in keyphrase predicti...
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Trust Repairing for Human-Swarm Cooperation inDynamic Task Response
Emergency happens in human-UAV cooperation, such as criminal activity tr...
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Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
Humans can selectively focus on different information based on different...
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Human-to-Robot Attention Transfer for Robot Execution Failure Avoidance Using Stacked Neural Networks
Due to world dynamics and hardware uncertainty, robots inevitably fail i...
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Proficiency Aware Multi-Agent Actor-Critic for Mixed Aerial and Ground Robot Teaming
Mixed Cooperation and competition are the actual scenarios of deploying ...
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Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
As neural networks are increasingly employed in machine learning practic...
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WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss
Tacotron-based text-to-speech (TTS) systems directly synthesize speech f...
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Teacher-Student Training for Robust Tacotron-based TTS
While neural end-to-end text-to-speech (TTS) is superior to conventional...
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Regularized Non-negative Spectral Embedding for Clustering
Spectral Clustering is a popular technique to split data points into gro...
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Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC
A cooperative driving strategy is proposed, in which the dynamic driving...
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An Efficient Skyline Computation Framework
Skyline computation aims at looking for the set of tuples that are not w...
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Joint Lifelong Topic Model and Manifold Ranking for Document Summarization
Due to the manifold ranking method has a significant effect on the ranki...
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Statistical Characteristics of Driver Accelerating Behavior and Its Probability Model
The naturalistic driving data are employed to study the accelerating beh...
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Conditional Adversarial Generative Flow for Controllable Image Synthesis
Flow-based generative models show great potential in image synthesis due...
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Benchmarking Time Series Databases with IoTDB-Benchmark for IoT Scenarios
With the wide application of time series databases (TSDBs) in big data f...
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Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios
With the wide application of time series databases (TSDB) in big data fi...
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A Bandit Approach to Maximum Inner Product Search
There has been substantial research on sub-linear time approximate algor...
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Discrete Factorization Machines for Fast Feature-based Recommendation
User and item features of side information are crucial for accurate reco...
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Phase Conductor on Multi-layered Attentions for Machine Comprehension
Attention models have been intensively studied to improve NLP tasks such...
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Untangling Blockchain: A Data Processing View of Blockchain Systems
Blockchain technologies are gaining massive momentum in the last few yea...
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Structural Embedding of Syntactic Trees for Machine Comprehension
Deep neural networks for machine comprehension typically utilizes only w...
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A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation
Natural-language-facilitated human-robot cooperation (NLC) refers to usi...
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Systems of natural-language-facilitated human-robot cooperation: A review
Natural-language-facilitated human-robot cooperation (NLC), in which nat...
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Generating machine-executable plans from end-user's natural-language instructions
It is critical for advanced manufacturing machines to autonomously execu...
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Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging
We propose an algorithm to uncover the intrinsic low-rank component of a...
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Feature Selection Based on Term Frequency and T-Test for Text Categorization
Much work has been done on feature selection. Existing methods are based...
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