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Narine Kokhlikyan
Narine Kokhlikyan
Meta AI
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Title
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Cited by
Year
Captum: A unified and generic model interpretability library for pytorch
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
arXiv preprint arXiv:2009.07896, 2020
1432020
Pytorch captum
N Kokhlikyan, V Miglani, M Martin, E Wang, J Reynolds, A Melnikov, ...
GitHub Repository, 2019
382019
Mind the Pad--CNNs can Develop Blind Spots
B Alsallakh, N Kokhlikyan, V Miglani, J Yuan, O Reblitz-Richardson
arXiv preprint arXiv:2010.02178, 2020
292020
Instantiating resources of an IT-service
JE Arwe, G Breiter, M Chodorowski, F Dross, N Kokhlikyan, HA Le, ...
US Patent 9,203,774, 2015
212015
Instantiating resources of an IT-service
JE Arwe, G Breiter, M Chodorowski, F Dross, N Kokhlikyan, HA Le, ...
US Patent 9,432,247, 2016
132016
A unified and generic model interpretability library for PyTorch, 2020
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
132009
Captum: A unified and generic model interpretability library for PyTorch. arXiv 2020
N Kokhlikyan, V Miglani, M Martin, E Wang, B Alsallakh, J Reynolds, ...
arXiv preprint arXiv:2009.07896, 0
8
Investigating saturation effects in integrated gradients
V Miglani, N Kokhlikyan, B Alsallakh, M Martin, O Reblitz-Richardson
arXiv preprint arXiv:2010.12697, 2020
62020
Debugging the internals of convolutional networks
B Alsallakh, N Kokhlikyan, V Miglani, S Muttepawar, E Wang, S Zhang, ...
eXplainable AI approaches for debugging and diagnosis., 2021
52021
Instantiating resources of an IT-service
JE Arwe, G Breiter, M Chodorowski, F Dross, N Kokhlikyan, HA Le, ...
US Patent 9,515,866, 2016
52016
Instantiating resources of an IT-service
JE Arwe, G Breiter, M Chodorowski, F Dross, N Kokhlikyan, HA Le, ...
US Patent 9,787,528, 2017
32017
Fine-grained interpretation and causation analysis in deep NLP models
H Sajjad, N Kokhlikyan, F Dalvi, N Durrani
arXiv preprint arXiv:2105.08039, 2021
22021
Convolution Can Incur Foveation Effects
J Yuan, B Alsallakh, N Kokhlikyan, V Miglani, O Reblitz-Richardson
Beyond static papers: Rethinking how we share scientific understanding in ML …, 2021
22021
Are Convolutional Networks Inherently Foveated?
B Alsallakh, V Miglani, N Kokhlikyan, D Adkins, O Reblitz-Richardson
SVRHM 2021 Workshop@ NeurIPS, 2021
12021
Investigating sanity checks for saliency maps with image and text classification
N Kokhlikyan, V Miglani, B Alsallakh, M Martin, O Reblitz-Richardson
arXiv preprint arXiv:2106.07475, 2021
12021
Instantiating resources of an IT-service
JE Arwe, G Breiter, M Chodorowski, F Dross, N Kokhlikyan, HA Le, ...
US Patent 10,135,669, 2018
12018
Measuring the structural importance through rhetorical structure index
N Kokhlikyan, A Waibel, Y Zhang, Y Zhang
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
12013
Method Cards for Prescriptive Machine-Learning Transparency
D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ...
2022 IEEE/ACM 1st International Conference on AI Engineering–Software …, 2022
2022
Prescriptive and Descriptive Approaches to Machine-Learning Transparency
D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ...
CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-9, 2022
2022
A Tour of Visualization Techniques for Computer Vision Datasets
B Alsallakh, P Bhattacharya, V Feng, N Kokhlikyan, O Reblitz-Richardson, ...
arXiv preprint arXiv:2204.08601, 2022
2022
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