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09/29/2021
Equivariant Neural Network for Factor Graphs
Several indices used in a factor graph data structure can be permuted wi...
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06/15/2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
While machine learning algorithms excel at many challenging visual tasks...
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03/30/2021
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention
Most chatbot literature that focuses on improving the fluency and cohere...
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10/17/2019
Organ At Risk Segmentation with Multiple Modality
With the development of image segmentation in computer vision, biomedica...
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07/31/2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
This paper studies learning the representations of whole graphs in both ...
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06/18/2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
This paper focuses on two fundamental tasks of graph analysis: community...
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01/29/2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Human behaviors are regularized by a variety of norms or regulations, ei...
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09/06/2018
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
This work provides a thorough study on how reward scaling can affect per...
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09/06/2018
