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Found 2 papers, 1 papers with code
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning
Learning invariant representations that remain useful for a downstream task is still a key challenge in machine learning.
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
In this paper, we frame homogeneous-feature multi-task learning (MTL) as a hierarchical representation learning problem, with one task-agnostic and multiple task-specific latent representations.
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