Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction
  in Self-Driving Cars   The need to recognise long-term dependencies in sequential data such as video
streams has made Long Short-Term Memory (LSTM) networks a prominent Artificial
Intelligence model for many emerging applications. However, the high
computational and memory demands of LSTMs introduce challenges in their
deployment on latency-critical systems such as self-driving cars which are
equipped with limited computational resources on-board. In this paper, we
introduce a progressive inference computing scheme that combines model pruning
and computation restructuring leading to the best possible approximation of the
result given the available latency budget of the target application. The
proposed methodology enables mission-critical systems to make informed
decisions even in early stages of the computation, based on approximate LSTM
inference, meeting their specifications on safety and robustness. Our
experiments on a state-of-the-art driving model for autonomous vehicle
navigation demonstrate that the proposed approach can yield outputs with
similar quality of result compared to a faithful LSTM baseline, up to 415x
faster (198x on average, 76x geo. mean).

27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th