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Data-Efficient Reinforcement Learning with Momentum Predictive Representations
While deep reinforcement learning excels at solving tasks where large am...
07/12/2020 ∙ by Max Schwarzer, et al. ∙
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Out-of-Sample Representation Learning for Multi-Relational Graphs
Many important problems can be formulated as reasoning in multi-relation...
04/28/2020 ∙ by Marjan Albooyeh, et al. ∙
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Time2Vec: Learning a Vector Representation of Time
Time is an important feature in many applications involving events that ...
07/11/2019 ∙ by Seyed Mehran Kazemi, et al. ∙
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Diachronic Embedding for Temporal Knowledge Graph Completion
Knowledge graphs (KGs) typically contain temporal facts indicating relat...
07/06/2019 ∙ by Rishab Goel, et al. ∙
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Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey
Graphs arise naturally in many real-world applications including social ...
05/27/2019 ∙ by Seyed Mehran Kazemi, et al. ∙
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Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Good temporal representations are crucial for video understanding, and t...
05/16/2018 ∙ by Wanjia Liu, et al. ∙
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Fast Retinomorphic Event Stream for Video Recognition and ReinforcementLearning
Good temporal representations are crucial for video understanding, and t...
05/16/2018 ∙ by Wanjia Liu, et al. ∙
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