Narayanan C. Krishnan

56 papers A* 4A 2B 5C 1Misc 2Journal 28Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PAR: Plausibility-aware Amortized Recourse Generation. CoRR Anagha Sabu, Vidhya S, Narayanan C. Krishnan
2026	J	`jnl`	SpinVision: An end-to-end volleyball spin estimation with Siamese-based deep classification. Comput. Vis. Image Underst. Shreya Bansal, Anterpreet Kaur Bedi, Pratibha Kumari, Rishi Kumar Soni, Narayanan C. Krishnan, Mukesh Saini
2025	—	`conf`	Beyond Memorization: Training-Free Style Mixing for Variability in Handwritten Text Generation Using Writer Embedding Injection in Pretrained Diffusion Models. ICDAR (4) Aniket Gurav, Sukalpa Chanda, Narayanan C. Krishnan
2025	—	`conf`	Generalized Cross-Domain Multi-Label Few-Shot Learning for Chest X-Rays. ISBI Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan
2025	J	`jnl`	Learning Regularizers: Learning Optimizers that can Regularize. CoRR Suraj Kumar Sahoo, Narayanan C. Krishnan
2025	J	`jnl`	Scene text recognition: an Indic perspective. Int. J. Document Anal. Recognit. Vasanthan P. Vijayan, Sukalpa Chanda, David S. Doermann, Narayanan C. Krishnan
2025	J	`jnl`	Tractable Sharpness-Aware Learning of Probabilistic Circuits. CoRR Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M. P, Sriraam Natarajan, Narayanan C. Krishnan
2024	J	`jnl`	Adaptation: Blessing or Curse for Higher Way Meta-Learning. IEEE Trans. Artif. Intell. Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan
2024	A	`conf`	Capacitated Online Clustering Algorithm. ECAI Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra
2024	—	`conf`	Expanding the Image Embedding Space for Language-Free Text-to-Face Image Generation. GCPR (2) Joakim Jensen, Sukalpa Chanda, Narayanan C. Krishnan, David S. Doermann
2024	—	`conf`	HTLDIFF: Handwritten Text Line Generation - A Diffusion Model Perspective. IPTA Aniket Gurav, Sukalpa Chanda, Narayanan C. Krishnan
2024	—	`conf`	LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. MICCAI (10) Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula
2024	—	`conf`	Online Algorithm for Clustering with Capacity Constraints. COMAD/CODS Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra
2024	—	`conf`	SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics. COMAD/CODS Vidhya Kamakshi, Narayanan C. Krishnan
2024	—	`conf`	Word-Diffusion: Diffusion-Based Handwritten Text Word Image Generation. ICPR (19) Aniket Gurav, Narayanan C. Krishnan, Sukalpa Chanda
2023	—	`conf`	Algorithmic Recourse based on User's Feature-order Preference. COMAD/CODS Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan
2023	J	`jnl`	Efficient algorithms for fair clustering with a new notion of fairness. Data Min. Knowl. Discov. Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
2023	J	`jnl`	Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays. CoRR Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan
2023	A	`conf`	Group Fair Clustering Revisited - Notions and Efficient Algorithm. AAMAS Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
2023	J	`jnl`	Leveraging Task Variability in Meta-learning. SN Comput. Sci. Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan
2023	J	`jnl`	Pho(SC)-CTC - a hybrid approach towards zero-shot word image recognition. Int. J. Document Anal. Recognit. Ravi Bhatt, Anuj Rai, Sukalpa Chanda, Narayanan C. Krishnan
2023	Misc	`conf`	ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition. IbPRIA Aniket Gurav, Joakim Jensen, Narayanan C. Krishnan, Sukalpa Chanda
2023	J	`jnl`	Understanding Calibration of Deep Neural Networks for Medical Image Classification. CoRR Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2023	J	`jnl`	Understanding calibration of deep neural networks for medical image classification. Comput. Methods Programs Biomed. Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2022	—	`conf`	Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning. ECML/PKDD (3) Aroof Aimen, Bharat Ladrecha, Narayanan C. Krishnan
2022	B	`conf`	Explainable Supervised Domain Adaptation. IJCNN Vidhya Kamakshi, Narayanan C. Krishnan
2022	—	`conf`	Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. ISBI Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
2021	J	`jnl`	Characterizing GAN Convergence Through Proximal Duality Gap. CoRR Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
2021	J	`jnl`	Deep Geospatial Interpolation Networks. CoRR Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan
2021	J	`jnl`	Efficient Algorithms For Fair Clustering with a New Fairness Notion. CoRR Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain
2021	J	`jnl`	Evaluation of Saliency-based Explainability Method. CoRR Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C. Krishnan
2021	C	`conf`	MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CD-MAKE Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain
2021	A*	`conf`	On Characterizing GAN Convergence Through Proximal Duality Gap. ICML Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
2021	B	`conf`	On Duality Gap as a Measure for Monitoring GAN Training. IJCNN Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
2021	B	`conf`	PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. IJCNN Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan
2021	J	`jnl`	PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs. CoRR Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan
2021	—	`conf`	Pho(SC)Net: An Approach Towards Zero-Shot Word Image Recognition in Historical Documents. ICDAR (1) Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda
2021	J	`jnl`	Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents. CoRR Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda
2021	—	`conf`	Stress Testing of Meta-learning Approaches for Few-shot Learning. MetaDL@AAAI Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
2021	J	`jnl`	Stress Testing of Meta-learning Approaches for Few-shot Learning. CoRR Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
2021	J	`jnl`	Task Attended Meta-Learning for Few-Shot Learning. CoRR Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
2021	J	`jnl`	Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. CoRR Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
2020	B	`conf`	Implicit Discriminator in Variational Autoencoder. IJCNN Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan
2020	J	`jnl`	MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. CoRR Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C. Krishnan
2020	J	`jnl`	MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. CoRR Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain
2020	B	`conf`	Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation. IJCNN Sanatan Sukhija, Srenivas Varadarajan, Narayanan C. Krishnan, Sujit Rai
2020	J	`jnl`	On Duality Gap as a Measure for Monitoring GAN Training. CoRR Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
2020	J	`jnl`	Wheat Crop Yield Prediction Using Deep LSTM Model. CoRR Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan
2019	J	`jnl`	Implicit Discriminator in Variational Autoencoder. CoRR Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan
2019	A*	`conf`	Semantically Aligned Bias Reducing Zero Shot Learning. CVPR Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
2019	J	`jnl`	Semantically Aligned Bias Reducing Zero Shot Learning. CoRR Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
2018	A*	`conf`	Deep Cross Modal Learning for Caricature Verification and Identification (CaVINet). ACM Multimedia Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan
2018	J	`jnl`	Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet). CoRR Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan
2018	A*	`conf`	Multi-Task Deep Learning for Predicting Poverty From Satellite Images. AAAI Shailesh M. Pandey, Tushar Agarwal, Narayanan C. Krishnan
2016	Misc	`conf`	SpotGarbage: smartphone app to detect garbage using deep learning. UbiComp Gaurav Mittal, Kaushal B. Yagnik, Mohit Garg, Narayanan C. Krishnan
2016	—	`conf`	Supervised deep segmentation network for brain extraction. ICVGIP Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan