Displaying 266 resources
Terse notes on Riemannian geometry
The technical report gives a compact introduction into the basic definitions and theorems of Riemannian geometry, Lie groups & Lie algebras and symmetric spaces.
From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey
Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a given document. Recently, researchers have conducted in-depth studies on this task from various perspectives.

Learning to Quantify
This book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), the task of training, by means of supervised learning, estimators of class proportions in unlabelled data.
Geometric data analysis based on manifold learning with applications for image understanding
The conference paper gives in the first section a brief and easy understandable introduction into the basics of Riemannian geometry.
Representation Learning for Natural Language Processing
Provides a comprehensive overview of the representation learning techniques for natural language processing.
Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning.
Shares insights into
A Survey of Large Language Models
This survey highlights the complexity of language and the challenge of developing AI algorithms capable of understanding and generating language.