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Narine Kokhlikyan

21 papers hereh-index 111.6k citations29 works total

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

author position
  • first author5
  • middle author11
  • last author3

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CL5
  • cs.CV4
  • cs.CR2
  • cs.HC2
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedCaptum: A unified and generic model interpretability library for PyTorch

649 citations · 780 across the 20 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

On Symmetries in Convolutional Weights

Bilal Alsallakh, Timothy Wroge, Vivek Miglani +1

We explore the symmetry of the mean k x k weight kernel in each layer of various convolutional neural networks. Unlike individual neurons, the mean kernels in internal layers tend…

cs.CV2022★ 1 cited

A Tour of Visualization Techniques for Computer Vision Datasets

Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng +4

We survey a number of data visualization techniques for analyzing Computer Vision (CV) datasets. These techniques help us understand properties and latent patterns in such data, by…

cs.CV2020★ 4 cited

Investigating Saturation Effects in Integrated Gradients

Vivek Miglani, Narine Kokhlikyan, Bilal Alsallakh +2

Integrated Gradients has become a popular method for post-hoc model interpretability. De-spite its popularity, the composition and relative impact of different regions of the integ…

cs.CV2020★ 32 cited

Mind the Pad -- CNNs can Develop Blind Spots

Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani +2

We show how feature maps in convolutional networks are susceptible to spatial bias. Due to a combination of architectural choices, the activation at certain locations is systematic…

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