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Richa Singh

75 papers hereh-index 6613.4k citations505 works total

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

author position
  • first author2
  • middle author38
  • last author32

Across the 72 of 75 papers where every author was matched, so the position is known.

fields
  • cs.CV60
  • cs.SD5
  • cs.LG4
  • cs.CL3
  • eess.IV2
  • cs.CR1
same name
  • Richa Singh — 3 papers, h 6
  • Richa Singh — 2 papers, h 24
  • Richa Singh — 1 paper, h 7
  • Richa Singh — 1 paper
  • Richa Singh — 1 paper, h 4

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

activity
20162026
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 275 across the 51 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023★ 2 cited

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms

Surbhi Mittal, Kartik Thakral, Richa Singh +4

Artificial Intelligence (AI) has made its way into various scientific fields, providing astonishing improvements over existing algorithms for a wide variety of tasks. In recent yea…

cs.LG2019

AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework

Raunak Sinha, Anush Sankaran, Mayank Vatsa +1

Generative models are becoming increasingly popular in the literature, with Generative Adversarial Networks (GAN) being the most successful variant, yet. With this increasing deman…

cs.LG2019

On Learning Density Aware Embeddings

Soumyadeep Ghosh, Richa Singh, Mayank Vatsa

Deep metric learning algorithms have been utilized to learn discriminative and generalizable models which are effective for classifying unseen classes. In this paper, a novel noise…

cs.LG2016★ 20 cited

Greedy Deep Dictionary Learning

Snigdha Tariyal, Angshul Majumdar, Richa Singh +1

In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solvin…

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