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Found 4 papers, 2 papers with code
Generative Regression Based Watch Time Prediction for Video Recommendation: Model and Performance
By formulating the prediction problem as a numerical-to-sequence mapping, and with meticulously designed vocabulary and label encodings, each watch time is transformed into a sequence of tokens.
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
To fill this gap, we propose TorchSpatial, a learning framework and benchmark for location (point) encoding, which is one of the most fundamental data types of spatial representation learning.
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Existing digital sensors capture images at fixed spatial and spectral resolutions (e. g., RGB, multispectral, and hyperspectral images), and each combination requires bespoke machine learning models.
Learning fast and agile quadrupedal locomotion over complex terrain
In this paper, we propose a robust controller that achieves natural and stably fast locomotion on a real blind quadruped robot.
