Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Building Accurate Simple Models with Multihop   Knowledge transfer from a complex high performing model to a simpler and
potentially low performing one in order to enhance its performance has been of
great interest over the last few years as it finds applications in important
problems such as explainable artificial intelligence, model compression, robust
model building and learning from small data. Known approaches to this problem
(viz. Knowledge Distillation, Model compression, ProfWeight, etc.) typically
transfer information directly (i.e. in a single/one hop) from the complex model
to the chosen simple model through schemes that modify the target or reweight
training examples on which the simple model is trained. In this paper, we
propose a meta-approach where we transfer information from the complex model to
the simple model by dynamically selecting and/or constructing a sequence of
intermediate models of decreasing complexity that are less intricate than the
original complex model. Our approach can transfer information between
consecutive models in the sequence using any of the previously mentioned
approaches as well as work in 1-hop fashion, thus generalizing these
approaches. In the experiments on real data, we observe that we get consistent
gains for different choices of models over 1-hop, which on average is more than
2\% and reaches up to 8\% in a particular case. We also empirically analyze
conditions under which the multi-hop approach is likely to be beneficial over
the traditional 1-hop approach, and report other interesting insights. To the
best of our knowledge, this is the first work that proposes such a multi-hop
approach to perform knowledge transfer given a single high performing complex
model, making it in our opinion, an important methodological contribution.

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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: supr-con
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The categories of this paper are: hep-th
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: math
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The categories of this paper are: hep-lat