Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cost-effective Interactive Attention Learning with Neural Attention
  Processes   We propose a novel interactive learning framework which we refer to as
Interactive Attention Learning (IAL), in which the human supervisors
interactively manipulate the allocated attentions, to correct the model's
behavior by updating the attention-generating network. However, such a model is
prone to overfitting due to scarcity of human annotations, and requires costly
retraining. Moreover, it is almost infeasible for the human annotators to
examine attentions on tons of instances and features. We tackle these
challenges by proposing a sample-efficient attention mechanism and a
cost-effective reranking algorithm for instances and features. First, we
propose Neural Attention Process (NAP), which is an attention generator that
can update its behavior by incorporating new attention-level supervisions
without any retraining. Secondly, we propose an algorithm which prioritizes the
instances and the features by their negative impacts, such that the model can
yield large improvements with minimal human feedback. We validate IAL on
various time-series datasets from multiple domains (healthcare, real-estate,
and computer vision) on which it significantly outperforms baselines with
conventional attention mechanisms, or without cost-effective reranking, with
substantially less retraining and human-model interaction cost.

29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys