Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tell Me Something New: A New Framework for Asynchronous Parallel
  Learning   We present a novel approach for parallel computation in the context of
machine learning that we call "Tell Me Something New" (TMSN). This approach
involves a set of independent workers that use broadcast to update each other
when they observe "something new". TMSN does not require synchronization or a
head node and is highly resilient against failing machines or laggards. We
demonstrate the utility of TMSN by applying it to learning boosted trees. We
show that our implementation is 10 times faster than XGBoost and LightGBM on
the splice-site prediction problem.

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The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
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The categories of this paper are: nlin
17
The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con