Mohit Prabhushankar

According to our database, Mohit Prabhushankar authored at least 33 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Gaussian Switch Sampling: A Second-Order Approach to Active Learning.

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona

IEEE Trans. Artif. Intell., January, 2024

Perceptual Quality-based Model Training under Annotator Label Uncertainty.

Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2024

Understanding and Leveraging the Learning Phases of Neural Networks.

Johannes Schneider, Mohit Prabhushankar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Clinically Labeled Contrastive Learning for OCT Biomarker Classification.

Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff

IEEE J. Biomed. Health Informatics, September, 2023

Contrastive Reasoning in Neural Networks.

Mohit Prabhushankar

PhD thesis, 2023

Exploiting the Distortion-Semantic Interaction in Fisheye Data.

Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami

CoRR, 2023

Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks.

Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2023

Probing the Purview of Neural Networks via Gradient Analysis.

Jinsol Lee, Charlie Lehman, Mohit Prabhushankar, Ghassan AlRegib

IEEE Access, 2023

FOCAL: A Cost-Aware Video Dataset for Active Learning.

Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami

Proceedings of the IEEE International Conference on Big Data, 2023

Clinical Trial Active Learning.

Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan Alregib

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations.

Ghassan AlRegib, Mohit Prabhushankar

IEEE Signal Process. Mag., 2022

On the Ramifications of Human Label Uncertainty.

Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2022

Clinical Contrastive Learning for Biomarker Detection.

Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2022

Gradient-Based Adversarial and Out-of-Distribution Detection.

Jinsol Lee, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2022

Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation.

Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2022

Explanatory Paradigms in Neural Networks.

Ghassan AlRegib, Mohit Prabhushankar

CoRR, 2022

OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics.

Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Introspective Learning : A Two-Stage approach for Inference in Neural Networks.

Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gradient-Based Severity Labeling for Biomarker Classification in Oct.

Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data.

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition.

Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib

Dataset, September, 2021

Contrastive Reasoning in Neural Networks.

Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2021

Extracting Causal Visual Features For Limited Label Classification.

Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Implicit Saliency In Deep Neural Networks.

Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the IEEE International Conference on Image Processing, 2020

Contrastive Explanations In Neural Networks.

Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib

Proceedings of the IEEE International Conference on Image Processing, 2020

Novelty Detection Through Model-Based Characterization of Neural Networks.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the IEEE International Conference on Image Processing, 2020

Backpropagated Gradient Representations for Anomaly Detection.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Distorted Representation Space Characterization Through Backpropagated Gradients.

Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Semantically Interpretable and Controllable Filter Sets.

Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition.

Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib

CoRR, 2017

MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation.

Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the Image Quality and System Performance XIV, Electronic Imaging 2017, 2017

Generating adaptive and robust filter sets using an unsupervised learning framework.

Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

UNIQUE: Unsupervised Image Quality Estimation.

Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib

IEEE Signal Process. Lett., 2016