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2020 – today
- 2024
[i12]Mengjie Yu, Dustin Harris, Ian Jones, Ting Zhang, Yue Liu, Naveen Sendhilnathan, Narine Kokhlikyan, Fulton Wang, Co Tran, Jordan L. Livingston, Krista E. Taylor, Zhenhong Hu, Mary A. Hood, Hrvoje Benko, Tanya R. Jonker:
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality. CoRR abs/2404.13777 (2024)- 2023
- [c8]Xuhai Xu
, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko:
XAIR: A Framework of Explainable AI in Augmented Reality. CHI 2023: 202:1-202:30 - [c7]Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya:
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. ICLR 2023 - [c6]Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan:
Error Discovery By Clustering Influence Embeddings. NeurIPS 2023 - [i11]Xuhai Xu, Mengjie Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko:
XAIR: A Framework of Explainable AI in Augmented Reality. CoRR abs/2303.16292 (2023) - [i10]Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan:
Error Discovery by Clustering Influence Embeddings. CoRR abs/2312.04712 (2023) - [i9]Vivek Miglani, Oliver Aobo Yang, Aram H. Markosyan, Diego Garcia-Olano, Narine Kokhlikyan:
Using Captum to Explain Generative Language Models. CoRR abs/2312.05491 (2023) - 2022
- [c5]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Method cards for prescriptive machine-learning transparency. CAIN 2022: 90-100 - [c4]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts 2022: 402:1-402:9 - [i8]Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan:
A Tour of Visualization Techniques for Computer Vision Datasets. CoRR abs/2204.08601 (2022) - [i7]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CoRR abs/2204.13582 (2022) - [i6]Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins:
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. CoRR abs/2212.13014 (2022) - 2021
- [c3]Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson:
Mind the Pad - CNNs Can Develop Blind Spots. ICLR 2021 - [i5]Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani:
Fine-grained Interpretation and Causation Analysis in Deep NLP Models. CoRR abs/2105.08039 (2021) - [i4]Narine Kokhlikyan, Vivek Miglani, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson:
Investigating sanity checks for saliency maps with image and text classification. CoRR abs/2106.07475 (2021) - 2020
- [c2]Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami:
Building Recommender Systems with PyTorch. KDD 2020: 3525-3526 - [i3]Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson:
Captum: A unified and generic model interpretability library for PyTorch. CoRR abs/2009.07896 (2020) - [i2]Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson:
Mind the Pad - CNNs can Develop Blind Spots. CoRR abs/2010.02178 (2020) - [i1]Vivek Miglani, Narine Kokhlikyan, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson:
Investigating Saturation Effects in Integrated Gradients. CoRR abs/2010.12697 (2020)
2010 – 2019
- 2013
- [c1]Narine Kokhlikyan, Alex Waibel, Yuqi Zhang, Joy Ying Zhang:
Measuring the Structural Importance through Rhetorical Structure Index. HLT-NAACL 2013: 783-788
Coauthor Index
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