Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Don't miss the Mismatch: Investigating the Objective Function Mismatch
  for Unsupervised Representation Learning   Finding general evaluation metrics for unsupervised representation learning
techniques is a challenging open research question, which recently has become
more and more necessary due to the increasing interest in unsupervised methods.
Even though these methods promise beneficial representation characteristics,
most approaches currently suffer from the objective function mismatch. This
mismatch states that the performance on a desired target task can decrease when
the unsupervised pretext task is learned too long - especially when both tasks
are ill-posed. In this work, we build upon the widely used linear evaluation
protocol and define new general evaluation metrics to quantitatively capture
the objective function mismatch and the more generic metrics mismatch. We
discuss the usability and stability of our protocols on a variety of pretext
and target tasks and study mismatches in a wide range of experiments. Thereby
we disclose dependencies of the objective function mismatch across several
pretext and target tasks with respect to the pretext model's representation
size, target model complexity, pretext and target augmentations as well as
pretext and target task types. In our experiments, we find that the objective
function mismatch reduces performance by ~0.1-5.0% for Cifar10, Cifar100 and
PCam in many setups, and up to ~25-59% in extreme cases for the 3dshapes
dataset.

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The categories of this paper are: econ
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The categories of this paper are: math-ph
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The categories of this paper are: q-alg
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ph
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The categories of this paper are: stat
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: nlin