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Found 6 papers, 3 papers with code
Multi-instrument Music Synthesis with Spectrogram Diffusion
An ideal music synthesizer should be both interactive and expressive, generating high-fidelity audio in realtime for arbitrary combinations of instruments and notes.
MT3: Multi-Task Multitrack Music Transcription
Automatic Music Transcription (AMT), inferring musical notes from raw audio, is a challenging task at the core of music understanding.
Advances and Open Problems in Federated Learning
FL embodies the principles of focused data collection and minimization, and can mitigate many of the systemic privacy risks and costs resulting from traditional, centralized machine learning and data science approaches.
Dropout Model Evaluation in MOOCs
The field of learning analytics needs to adopt a more rigorous approach for predictive model evaluation that matches the complex practice of model-building.
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
MORF has the potential to accelerate and democratize research on its massive data repository, which currently includes over 200 MOOCs, as demonstrated by initial research conducted on the platform.
Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit
Understanding the existence of patterns and trends in this data could be useful to a variety of stakeholders, particularly as Detroit emerges from Chapter 9 bankruptcy, but the patterns in such data are often complex and multivariate and the city lacks dedicated resources for detailed analysis of this data.
Computers and Society
