Vidhya Kamakshi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Rule Extraction

Image Classification

Domain Adaptation

Software Effort

Top Venues

IEEE Trans. Artif. Intell.

Publications

Vidhya Kamakshi, Narayanan C. Krishnan
SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics. COMAD/CODS (2024)
Vidhya Kamakshi, Narayanan C. Krishnan
Explainable Supervised Domain Adaptation. IJCNN (2022)
Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. CoRR (2021)
Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. IJCNN (2021)
Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CD-MAKE (2021)
Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan Chatapuram Krishnan
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. IEEE Trans. Artif. Intell. 2 (6) (2021)
Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C. Krishnan
Evaluation of Saliency-based Explainability Method. CoRR (2021)
Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C. Krishnan
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. CoRR (2020)
Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CoRR (2020)