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Found 9 papers, 7 papers with code
Automatic Album Sequencing
To address this, we introduce a new user-friendly web-based tool that allows a less technical audience to upload music tracks, execute this technique in one click, and subsequently presents the result in a clean visualization to the user.
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Recurrent Neural Networks (RNNs) are general-purpose parallel-sequential computers.
Unsupervised Musical Object Discovery from Audio
Our novel MusicSlots method adapts SlotAttention to the audio domain, to achieve unsupervised music decomposition.
Mindstorms in Natural Language-Based Societies of Mind
What should be the social structure of an NLSOM?
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks
There are two important things in science: (A) Finding answers to given questions, and (B) Coming up with good questions.
On Narrative Information and the Distillation of Stories
We then demonstrate how evolutionary algorithms can leverage this to extract a set of narrative templates and how these templates -- in tandem with a novel curve-fitting algorithm we introduce -- can reorder music albums to automatically induce stories in them.
Goal-Conditioned Generators of Deep Policies
A form of weight-sharing HyperNetworks and policy embeddings scales our method to generate deep NNs.
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
In continuous control problems with infinitely many states, our value function minimizes its prediction error by simultaneously learning a small set of `probing states' and a mapping from actions produced in probing states to the policy's return.
Automatic Embedding of Stories Into Collections of Independent Media
We look at how machine learning techniques that derive properties of items in a collection of independent media can be used to automatically embed stories into such collections.
