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S. Sumitra

3 papers hereh-index 212 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
same name
  • S. Sumitra — 4 papers, h 6
  • S. Sumitra — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn efficient scheme based on graph centrality to select nodes for training for effective learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021

Self-supervised Enhancement of Latent Discovery in GANs

Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, S Sumitra

Several methods for discovering interpretable directions in the latent space of pre-trained GANs have been proposed. Latent semantics discovered by unsupervised methods are relativ…

cs.CV2021

Unsupervised MKL in Multi-layer Kernel Machines

Akhil Meethal, Asharaf S, Sumitra S

Kernel based Deep Learning using multi-layer kernel machines(MKMs) was proposed by Y.Cho and L.K. Saul in \cite{saul}. In MKMs they used only one kernel(arc-cosine kernel) at a lay…

cs.LG2021★ 1 cited

An efficient scheme based on graph centrality to select nodes for training for effective learning

CR Sandeep, Asif Salim, R Sethunadh +1

The process of selecting points for training a machine learning model is often a challenging task. Many times, we will have a lot of data, but for training, we require the labels a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.