research
∙
10/05/2022
Ask Me Anything: A simple strategy for prompting language models
Large language models (LLMs) transfer well to new tasks out-of-the-box s...
share
research
∙
05/20/2022
Can Foundation Models Wrangle Your Data?
Foundation Models (FMs) are models trained on large corpora of data that...
research
∙
06/07/2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
This paper studies Principal Component Analysis (PCA) for data lying in ...
research
∙
10/01/2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Similarity-based Hierarchical Clustering (HC) is a classical unsupervise...
research
∙
05/07/2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
There has been a surge of recent interest in learning representations fo...
research
∙
05/01/2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Knowledge graph (KG) embeddings learn low-dimensional representations of...
research
∙
10/28/2019
Hyperbolic Graph Convolutional Neural Networks
Graph convolutional neural networks (GCNs) embed nodes in a graph into E...
research
∙
03/28/2018
