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Found 4 papers, 3 papers with code
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance.
EDGE: Editable Dance Generation From Music
Dance is an important human art form, but creating new dances can be difficult and time-consuming.
Ranked #1 on
Motion Synthesis
on AIST++
(Beat alignment score metric)
On the Opportunities and Risks of Foundation Models
AI is undergoing a paradigm shift with the rise of models (e. g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.
Codified audio language modeling learns useful representations for music information retrieval
Relative to representations from conventional MIR models which are pre-trained on tagging, we find that using representations from Jukebox as input features yields 30% stronger performance on average across four MIR tasks: tagging, genre classification, emotion recognition, and key detection.
Ranked #1 on
Emotion Recognition
on Emomusic
