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05/02/2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
Most exploration research on reinforcement learning (RL) has paid attent...
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12/05/2022
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
Graph convolutional networks (GCNs) have achieved great success in graph...
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10/03/2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Graph Convolutional Neural Networks (GCNs) has been generally accepted t...
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09/27/2021
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning
Transfer learning where the behavior of extracting transferable knowledg...
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09/20/2021
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time
Causal effect estimation for dynamic treatment regimes (DTRs) contribute...
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07/17/2021
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
The high-dimensional or sparse reward task of a reinforcement learning (...
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06/29/2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
Graph neural networks (GNNs) extends the functionality of traditional ne...
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07/19/2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Unsupervised domain adaptation for classification tasks has achieved gre...
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07/18/2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization
The cooperative hierarchical structure is a common and significant data ...
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03/30/2015
Nonparametric Relational Topic Models through Dependent Gamma Processes
Traditional Relational Topic Models provide a way to discover the hidden...
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03/30/2015
