Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards continual task learning in artificial neural networks: current
  approaches and insights from neuroscience   The innate capacity of humans and other animals to learn a diverse, and often
interfering, range of knowledge and skills throughout their lifespan is a
hallmark of natural intelligence, with obvious evolutionary motivations. In
parallel, the ability of artificial neural networks (ANNs) to learn across a
range of tasks and domains, combining and re-using learned representations
where required, is a clear goal of artificial intelligence. This capacity,
widely described as continual learning, has become a prolific subfield of
research in machine learning. Despite the numerous successes of deep learning
in recent years, across domains ranging from image recognition to machine
translation, such continual task learning has proved challenging. Neural
networks trained on multiple tasks in sequence with stochastic gradient descent
often suffer from representational interference, whereby the learned weights
for a given task effectively overwrite those of previous tasks in a process
termed catastrophic forgetting. This represents a major impediment to the
development of more generalised artificial learning systems, capable of
accumulating knowledge over time and task space, in a manner analogous to
humans. A repository of selected papers and implementations accompanying this
review can be found at https://github.com/mccaffary/continual-learning.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg