Search Results for author:
Found 7 papers, 3 papers with code
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey
Music has been frequently compared to language, as they share several similarities, including sequential representations of text and music.
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models
Another related question is whether and how lexical relations over pairs of words, such as synonymy, change over time.
Fair Without Leveling Down: A New Intersectional Fairness Definition
In this work, we consider the problem of intersectional group fairness in the classification setting, where the objective is to learn discrimination-free models in the presence of several intersecting sensitive groups.
Fair NLP Models with Differentially Private Text Encoders
Encoded text representations often capture sensitive attributes about individuals (e. g., race or gender), which raise privacy concerns and can make downstream models unfair to certain groups.
Metric learning approach for graph-based label propagation
The efficiency of graph-based semi-supervised algorithms depends on the graph of instances on which they are applied.
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling
Statistical models for networks have been typically committed to strong prior assumptions concerning the form of the modeled distributions.
