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Found 7 papers, 3 papers with code
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning
Offline Reinforcement Learning (RL) faces distributional shift and unreliable value estimation, especially for out-of-distribution (OOD) actions.
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
Sequential decision-making is desired to align with human intents and exhibit versatility across various tasks.
Structure-informed Positional Encoding for Music Generation
Music generated by deep learning methods often suffers from a lack of coherence and long-term organization.
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
This approach allows representations derived for one task to be applied to another, and can result in high accuracy with less stringent training data requirements for the downstream task.
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis
Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms.
Differentiable Time-Frequency Scattering on GPU
Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales.
Joint Scattering for Automatic Chick Call Recognition
Animal vocalisations contain important information about health, emotional state, and behaviour, thus can be potentially used for animal welfare monitoring.
