Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Accelerating Human-in-the-loop Machine Learning: Challenges and
  Opportunities   Development of machine learning (ML) workflows is a tedious process of
iterative experimentation: developers repeatedly make changes to workflows
until the desired accuracy is attained. We describe our vision for a
"human-in-the-loop" ML system that accelerates this process: by intelligently
tracking changes and intermediate results over time, such a system can enable
rapid iteration, quick responsive feedback, introspection and debugging, and
background execution and automation. We finally describe Helix, our preliminary
attempt at such a system that has already led to speedups of up to 10x on
typical iterative workflows against competing systems.

19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio