Large language models (LLMs) transfer well to new tasks out-of-the-box s...
Foundation Models (FMs) are models trained on large corpora of data that...
This paper studies Principal Component Analysis (PCA) for data lying in
...
Similarity-based Hierarchical Clustering (HC) is a classical unsupervise...
There has been a surge of recent interest in learning representations fo...
Knowledge graph (KG) embeddings learn low-dimensional representations of...
Graph convolutional neural networks (GCNs) embed nodes in a graph into
E...
Images are not simply sets of objects: each image represents a web of
in...