Narayanan C. Krishnan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Historical Documents

Image Recognition

Top Venues

Publications

Vidhya Kamakshi, Narayanan C. Krishnan
SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics. COMAD/CODS (2024)
Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra
Online Algorithm for Clustering with Capacity Constraints. COMAD/CODS (2024)
Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan
Adaptation: Blessing or Curse for Higher Way Meta-Learning. IEEE Trans. Artif. Intell. 5 (4) (2024)
Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays. CoRR (2023)
Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
Efficient algorithms for fair clustering with a new notion of fairness. Data Min. Knowl. Discov. 37 (5) (2023)
Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
Group Fair Clustering Revisited - Notions and Efficient Algorithm. AAMAS (2023)
Aniket Gurav, Joakim Jensen, Narayanan C. Krishnan, Sukalpa Chanda
ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition. IbPRIA (2023)
Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
Understanding calibration of deep neural networks for medical image classification. Comput. Methods Programs Biomed. 242 (2023)
Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan
Leveraging Task Variability in Meta-learning. SN Comput. Sci. 4 (5) (2023)
Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan
Algorithmic Recourse based on User's Feature-order Preference. COMAD/CODS (2023)
Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
Understanding Calibration of Deep Neural Networks for Medical Image Classification. CoRR (2023)
Ravi Bhatt, Anuj Rai, Sukalpa Chanda, Narayanan C. Krishnan
Pho(SC)-CTC - a hybrid approach towards zero-shot word image recognition. Int. J. Document Anal. Recognit. 26 (1) (2023)
Aroof Aimen, Bharat Ladrecha, Narayanan C. Krishnan
Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning. ECML/PKDD (3) (2022)
Vidhya Kamakshi, Narayanan C. Krishnan
Explainable Supervised Domain Adaptation. IJCNN (2022)
Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. ISBI (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)
Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
Task Attended Meta-Learning for Few-Shot Learning. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
On Characterizing GAN Convergence Through Proximal Duality Gap. ICML (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
Characterizing GAN Convergence Through Proximal Duality Gap. CoRR (2021)
Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. CoRR (2021)
Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan
Deep Geospatial Interpolation Networks. CoRR (2021)
Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda
Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents. CoRR (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)
Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda
Pho(SC)Net: An Approach Towards Zero-Shot Word Image Recognition in Historical Documents. ICDAR (1) (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. MetaDL@AAAI (2021)
Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
Efficient Algorithms For Fair Clustering with a New Fairness Notion. CoRR (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. CoRR (2021)
Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C. Krishnan
Evaluation of Saliency-based Explainability Method. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. IJCNN (2021)
Sanatan Sukhija, Srenivas Varadarajan, Narayanan C. Krishnan, Sujit Rai
Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation. IJCNN (2020)
Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C. Krishnan
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. CoRR (2020)
Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan
Wheat Crop Yield Prediction Using Deep LSTM Model. CoRR (2020)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. CoRR (2020)
Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan
Implicit Discriminator in Variational Autoencoder. IJCNN (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)
Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
Semantically Aligned Bias Reducing Zero Shot Learning. CoRR (2019)
Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
Semantically Aligned Bias Reducing Zero Shot Learning. CVPR (2019)
Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan
Implicit Discriminator in Variational Autoencoder. CoRR (2019)
Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan
Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet). ACM Multimedia (2018)
Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet). CoRR (2018)
Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan
Multi-Task Deep Learning for Predicting Poverty From Satellite Images. AAAI (2018)
Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan
Supervised deep segmentation network for brain extraction. ICVGIP (2016)
Gaurav Mittal, Kaushal B. Yagnik, Mohit Garg, Narayanan C. Krishnan
SpotGarbage: smartphone app to detect garbage using deep learning. UbiComp (2016)