Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction   State-of-the-art methods for self-supervised learning (SSL) build
representations by maximizing the similarity between different transformed
"views" of a sample. Without sufficient diversity in the transformations used
to create views, however, it can be difficult to overcome nuisance variables in
the data and build rich representations. This motivates the use of the dataset
itself to find similar, yet distinct, samples to serve as views for one
another. In this paper, we introduce Mine Your Own vieW (MYOW), a new approach
for self-supervised learning that looks within the dataset to define diverse
targets for prediction. The idea behind our approach is to actively mine views,
finding samples that are neighbors in the representation space of the network,
and then predict, from one sample's latent representation, the representation
of a nearby sample. After showing the promise of MYOW on benchmarks used in
computer vision, we highlight the power of this idea in a novel application in
neuroscience where SSL has yet to be applied. When tested on multi-unit neural
recordings, we find that MYOW outperforms other self-supervised approaches in
all examples (in some cases by more than 10%), and often surpasses the
supervised baseline. With MYOW, we show that it is possible to harness the
diversity of the data to build rich views and leverage self-supervision in new
domains where augmentations are limited or unknown.

22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math