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Found 5 papers, 4 papers with code
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios
To reduce the parameter size, entity representations in StreamE are decoupled from the model training to serve as the memory module to store the historical information of entities.
Temporal knowledge graph representation learning with local and global evolutions
Temporal knowledge graph (TKG) representation learning aims to project entities and relations in TKG to low-dimensional vector space while preserving the evolutionary nature of TKG.
Complex Locomotion Skill Learning via Differentiable Physics
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers.
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
In this paper, we cast one-shot non-intrusive load monitoring (NILM) in the compressive sensing framework, and bridge the gap between theoretical accuracy of NILM inference and differential privacy's parameters.
Treat the Word As a Whole or Look Inside? Subword Embeddings Model Language Change and Typology
We use a variant of word embedding model that incorporates subword information to characterize the degree of compositionality in lexical semantics.
