Mohit Prabhushankar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Visual Features

Quality Estimation

Active Learning

Top Venues

IEEE Signal Process. Lett.

Publications

Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis. CoRR (2024)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona
Gaussian Switch Sampling: A Second-Order Approach to Active Learning. IEEE Trans. Artif. Intell. 5 (1) (2024)
Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss. CoRR (2024)
Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib
Intelligent Multi-View Test Time Augmentation. CoRR (2024)
Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
Perceptual Quality-based Model Training under Annotator Label Uncertainty. CoRR (2024)
Mohit Prabhushankar, Ghassan AlRegib
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. CoRR (2024)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Transitional Uncertainty with Layered Intermediate Predictions. CoRR (2024)
Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
Explaining Representation Learning with Perceptual Components. CoRR (2024)
Mohit Prabhushankar, Ghassan AlRegib
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks. CoRR (2024)
Johannes Schneider, Mohit Prabhushankar
Understanding and Leveraging the Learning Phases of Neural Networks. AAAI (2024)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Effective Data Selection for Seismic Interpretation through Disagreement. CoRR (2024)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona
Gaussian Switch Sampling: A Second Order Approach to Active Learning. CoRR (2023)
Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. CoRR (2023)
Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami
FOCAL: A Cost-Aware Video Dataset for Active Learning. BigData (2023)
Jinsol Lee, Charlie Lehman, Mohit Prabhushankar, Ghassan AlRegib
Probing the Purview of Neural Networks via Gradient Analysis. CoRR (2023)
Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan Alregib
Clinical Trial Active Learning. BCB (2023)
Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami
FOCAL: A Cost-Aware Video Dataset for Active Learning. CoRR (2023)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. CoRR (2023)
Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
Clinical Trial Active Learning. CoRR (2023)
Jinsol Lee, Charlie Lehman, Mohit Prabhushankar, Ghassan AlRegib
Probing the Purview of Neural Networks via Gradient Analysis. IEEE Access 11 (2023)
Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami
Exploiting the Distortion-Semantic Interaction in Fisheye Data. CoRR (2023)
Johannes Schneider, Mohit Prabhushankar
Understanding and Leveraging the Learning Phases of Neural Networks. CoRR (2023)
Mohit Prabhushankar, Ghassan AlRegib
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks. CoRR (2023)
Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. ICIP (2022)
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff
Gradient-Based Severity Labeling for Biomarker Classification in Oct. ICIP (2022)
Mohit Prabhushankar, Ghassan AlRegib
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks. CoRR (2022)
Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. CoRR (2022)
Ghassan AlRegib, Mohit Prabhushankar
Explanatory Paradigms in Neural Networks. CoRR (2022)
Jinsol Lee, Mohit Prabhushankar, Ghassan AlRegib
Gradient-Based Adversarial and Out-of-Distribution Detection. CoRR (2022)
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
Clinical Contrastive Learning for Biomarker Detection. CoRR (2022)
Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. NeurIPS (2022)
Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
On the Ramifications of Human Label Uncertainty. CoRR (2022)
Ghassan AlRegib, Mohit Prabhushankar
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations. IEEE Signal Process. Mag. 39 (4) (2022)
Mohit Prabhushankar, Ghassan AlRegib
Introspective Learning : A Two-Stage approach for Inference in Neural Networks. NeurIPS (2022)
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation. CoRR (2022)
Mohit Prabhushankar, Ghassan AlRegib
Contrastive Reasoning in Neural Networks. CoRR (2021)
Mohit Prabhushankar, Ghassan AlRegib
Extracting Causal Visual Features For Limited Label Classification. ICIP (2021)
Mohit Prabhushankar, Ghassan AlRegib
Extracting Causal Visual Features for Limited label Classification. CoRR (2021)
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
Contrastive Explanations In Neural Networks. ICIP (2020)
Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib
Implicit Saliency in Deep Neural Networks. CoRR (2020)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Backpropagated Gradient Representations for Anomaly Detection. ECCV (21) (2020)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Novelty Detection Through Model-Based Characterization of Neural Networks. ICIP (2020)
Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib
Implicit Saliency In Deep Neural Networks. ICIP (2020)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Backpropagated Gradient Representations for Anomaly Detection. CoRR (2020)
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
Contrastive Explanations in Neural Networks. CoRR (2020)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Novelty Detection Through Model-Based Characterization of Neural Networks. CoRR (2020)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Distorted Representation Space Characterization Through Backpropagated Gradients. ICIP (2019)
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Distorted Representation Space Characterization Through Backpropagated Gradients. CoRR (2019)
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
Semantically Interpretable and Controllable Filter Sets. CoRR (2019)
Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib
UNIQUE: Unsupervised Image Quality Estimation. CoRR (2018)
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework. CoRR (2018)
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. CoRR (2018)
Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
Semantically Interpretable and Controllable Filter Sets. ICIP (2018)
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. IQSP (2017)
Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition. CoRR (2017)
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
Generating adaptive and robust filter sets using an unsupervised learning framework. ICIP (2017)
Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib
UNIQUE: Unsupervised Image Quality Estimation. IEEE Signal Process. Lett. 23 (10) (2016)