160 citations · 344 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning from Data Streams: An Overview and Update
Jesse Read, Indrė Žliobaitė
The literature on machine learning in the context of data streams is vast and growing. However, many of the defining assumptions regarding data-stream learning tasks are too strong…
Estimating Multi-label Accuracy using Labelset Distributions
Laurence A. F. Park, Jesse Read
A multi-label classifier estimates the binary label state (relevant vs irrelevant) for each of a set of concept labels, for any given instance. Probabilistic multi-label classifier…
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
Jesse Read
In multi-label learning, a particular case of multi-task learning where a single data point is associated with multiple target labels, it was widely assumed in the literature that,…
Isomorphic Cross-lingual Embeddings for Low-Resource Languages
Sonal Sannigrahi, Jesse Read
Cross-Lingual Word Embeddings (CLWEs) are a key component to transfer linguistic information learnt from higher-resource settings into lower-resource ones. Recent research in cross…