Media
The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes
To tackle this issue with a common benchmark, we introduce the Drunkard's
Learning Interpretable Low-dimensional Representation via Physical Symmetry
However, most methods rely heavily on music domain knowledge.
Simple and Controllable Music Generation Jade Copet Felix Kreuk
We tackle the task of conditional music generation.
Simple and Controllable Music Generation Jade Copet Felix Kreuk
We tackle the task of conditional music generation.
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Shibo Hao
ToolkenGPT offers the flexibility to plug in an arbitrary number of tools by expanding the set of toolkens on the fly. In addition, it improves tool use by allowing extensive demonstration data for learning the toolken embeddings.
Algorithm 1: GNNs with the CIT mechanismInput: Graph G = (A, X), label Y Params: the probability of transfer p, the epochtimes k, the number of clusters m, total iterations T Initialize: GNN model f
Randomly sample n p nodes to calculate Eq. (9) The nodes represent papers and are classified into three classes. The edges represent their citation relationships. Node attributes are representations of the papers. The edges are citation links. It consists of nearly twenty thousand nodes.
