Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient Hardware Implementation of Incremental Learning and Inference
  on Chip   In this paper, we tackle the problem of incrementally learning a classifier,
one example at a time, directly on chip. To this end, we propose an efficient
hardware implementation of a recently introduced incremental learning procedure
that achieves state-of-the-art performance by combining transfer learning with
majority votes and quantization techniques. The proposed design is able to
accommodate for both new examples and new classes directly on the chip. We
detail the hardware implementation of the method (implemented on FPGA target)
and show it requires limited resources while providing a significant
acceleration compared to using a CPU.

22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys