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Found 3 papers, 2 papers with code
Incorporating Literals into Knowledge Graph Embeddings
Most of the existing work on embedding (or latent feature) based knowledge graph analysis focuses mainly on the relations between entities.
Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking
We first solve the detection task for an image using fully convolutional encoder-decoder architecture, and later, we use it as an input to our temporal models and jointly learn the detection task in sequences of images.
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency
This procedure bears the problem that the generated magnitude spectrogram may not be consistent, which is required for finding a phase such that the full spectrogram has a natural-sounding speech waveform.
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