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02/15/2023
Meta-Reinforcement Learning via Exploratory Task Clustering
Meta-reinforcement learning (meta-RL) aims to quickly solve new tasks by...
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11/06/2022
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation
In recent years, machine learning has achieved impressive results across...
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05/24/2022
Meta Policy Learning for Cold-Start Conversational Recommendation
Conversational recommender systems (CRS) explicitly solicit users' prefe...
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07/22/2021
Improve Learning from Crowds via Generative Augmentation
Crowdsourcing provides an efficient label collection schema for supervis...
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12/24/2020
Learning from Crowds by Modeling Common Confusions
Crowdsourcing provides a practical way to obtain large amounts of labele...
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12/17/2020
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction
Distant supervision makes it possible to automatically label bags of sen...
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02/27/2019
