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Mohit Prabhushankar
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2020 – today
- 2024
- [j7]Ghassan AlRegib
, Mohit Prabhushankar
Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 41(4): 96-104 (2024) - [j6]Ryan Benkert
Gaussian Switch Sampling: A Second-Order Approach to Active Learning. IEEE Trans. Artif. Intell. 5(1): 38-50 (2024) - [j5]Ryan Benkert
Effective Data Selection for Seismic Interpretation Through Disagreement. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [c19]Johannes Schneider, Mohit Prabhushankar
Understanding and Leveraging the Learning Phases of Neural Networks. AAAI 2024: 14886-14893 - [c18]Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib:
PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. CVPR Workshops 2024: 1604-1610 - [c17]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Transitional Uncertainty with Layered Intermediate Predictions. ICML 2024 - [c16]Mohit Prabhushankar, Ghassan AlRegib:
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks. MIPR 2024: 529-535 - [d2]Ghazal Kaviani, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, Ameya Patil:
DARai: Daily Activity Recordings for AI and ML aplications. IEEE DataPort, 2024 - [i40]Chen Zhou, Mohit Prabhushankar
Perceptual Quality-based Model Training under Annotator Label Uncertainty. CoRR abs/2403.10190 (2024) - [i39]Mohit Prabhushankar
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks. CoRR abs/2405.13758 (2024) - [i38]Ryan Benkert, Mohit Prabhushankar
Transitional Uncertainty with Layered Intermediate Predictions. CoRR abs/2405.17494 (2024) - [i37]Mohit Prabhushankar, Ghassan AlRegib:
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. CoRR abs/2406.00573 (2024) - [i36]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Effective Data Selection for Seismic Interpretation through Disagreement. CoRR abs/2406.05149 (2024) - [i35]Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib:
Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss. CoRR abs/2406.06848 (2024) - [i34]Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Explaining Representation Learning with Perceptual Components. CoRR abs/2406.06930 (2024) - [i33]Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche:
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis. CoRR abs/2406.07820 (2024) - [i32]Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib:
Intelligent Multi-View Test Time Augmentation. CoRR abs/2406.08593 (2024) - [i31]Mohit Prabhushankar, Kiran Kokilepersaud, Jorge Quesada, Yavuz Yarici, Chen Zhou, Mohammad Alotaibi, Ghassan AlRegib, Ahmad Mustafa, Yusufjon Kumakov:
CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. CoRR abs/2408.11185 (2024) - [i30]Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib:
Benchmarking Human and Automated Prompting in the Segment Anything Model. CoRR abs/2410.22048 (2024) - [i29]Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib:
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms. CoRR abs/2410.23200 (2024) - 2023
- [b1]Mohit Prabhushankar:
Contrastive Reasoning in Neural Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j4]Jinsol Lee
Probing the Purview of Neural Networks via Gradient Analysis. IEEE Access 11: 32716-32732 (2023) - [j3]Kiran Kokilepersaud
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. IEEE J. Biomed. Health Informatics 27(9): 4397-4408 (2023) - [c15]Zoe Fowler
Clinical Trial Active Learning. BCB 2023: 6:1-6:10 - [c14]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou
FOCAL: A Cost-Aware Video Dataset for Active Learning. IEEE Big Data 2023: 1269-1278 - [i28]Ryan Benkert, Mohit Prabhushankar
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. CoRR abs/2301.05106 (2023) - [i27]Mohit Prabhushankar
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks. CoRR abs/2302.05776 (2023) - [i26]Ryan Benkert, Mohit Prabhushankar
Gaussian Switch Sampling: A Second Order Approach to Active Learning. CoRR abs/2302.12018 (2023) - [i25]Jinsol Lee, Charlie Lehman, Mohit Prabhushankar
Probing the Purview of Neural Networks via Gradient Analysis. CoRR abs/2304.02834 (2023) - [i24]Kiran Kokilepersaud, Mohit Prabhushankar
Exploiting the Distortion-Semantic Interaction in Fisheye Data. CoRR abs/2305.00079 (2023) - [i23]Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff:
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. CoRR abs/2305.15154 (2023) - [i22]Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib:
Clinical Trial Active Learning. CoRR abs/2307.11209 (2023) - [i21]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar
FOCAL: A Cost-Aware Video Dataset for Active Learning. CoRR abs/2311.10591 (2023) - [i20]Johannes Schneider, Mohit Prabhushankar
Understanding and Leveraging the Learning Phases of Neural Networks. CoRR abs/2312.06887 (2023) - 2022
- [j2]Ghassan AlRegib, Mohit Prabhushankar
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations. IEEE Signal Process. Mag. 39(4): 59-72 (2022) - [c13]Ryan Benkert, Mohit Prabhushankar
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. ICIP 2022: 2196-2200 - [c12]Kiran Kokilepersaud, Mohit Prabhushankar
Gradient-Based Severity Labeling for Biomarker Classification in Oct. ICIP 2022: 3416-3420 - [c11]Mohit Prabhushankar, Ghassan AlRegib:
Introspective Learning : A Two-Stage approach for Inference in Neural Networks. NeurIPS 2022 - [c10]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 - [i19]Ghassan AlRegib, Mohit Prabhushankar:
Explanatory Paradigms in Neural Networks. CoRR abs/2202.11838 (2022) - [i18]Kiran Kokilepersaud, Mohit Prabhushankar
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation. CoRR abs/2206.08158 (2022) - [i17]Jinsol Lee, Mohit Prabhushankar
Gradient-Based Adversarial and Out-of-Distribution Detection. CoRR abs/2206.08255 (2022) - [i16]Mohit Prabhushankar
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks. CoRR abs/2209.08425 (2022) - [i15]Mohit Prabhushankar
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. CoRR abs/2209.11195 (2022) - [i14]Kiran Kokilepersaud, Mohit Prabhushankar
Clinical Contrastive Learning for Biomarker Detection. CoRR abs/2211.05092 (2022) - [i13]Chen Zhou, Mohit Prabhushankar
On the Ramifications of Human Label Uncertainty. CoRR abs/2211.05871 (2022) - 2021
- [c9]Mohit Prabhushankar
Extracting Causal Visual Features For Limited Label Classification. ICIP 2021: 3697-3701 - [d1]Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib:
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition. IEEE DataPort, 2021 - [i12]Mohit Prabhushankar, Ghassan AlRegib:
Extracting Causal Visual Features for Limited label Classification. CoRR abs/2103.12322 (2021) - [i11]Mohit Prabhushankar, Ghassan AlRegib:
Contrastive Reasoning in Neural Networks. CoRR abs/2103.12329 (2021) - 2020
- [c8]Gukyeong Kwon
Backpropagated Gradient Representations for Anomaly Detection. ECCV (21) 2020: 206-226 - [c7]Yutong Sun, Mohit Prabhushankar
Implicit Saliency In Deep Neural Networks. ICIP 2020: 2915-2919 - [c6]Gukyeong Kwon, Mohit Prabhushankar
Novelty Detection Through Model-Based Characterization of Neural Networks. ICIP 2020: 3179-3183 - [c5]Mohit Prabhushankar
Contrastive Explanations In Neural Networks. ICIP 2020: 3289-3293 - [i10]Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Backpropagated Gradient Representations for Anomaly Detection. CoRR abs/2007.09507 (2020) - [i9]Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib:
Contrastive Explanations in Neural Networks. CoRR abs/2008.00178 (2020) - [i8]Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib:
Implicit Saliency in Deep Neural Networks. CoRR abs/2008.01874 (2020) - [i7]Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Novelty Detection Through Model-Based Characterization of Neural Networks. CoRR abs/2008.06094 (2020)
2010 – 2019
- 2019
- [c4]Gukyeong Kwon, Mohit Prabhushankar
Distorted Representation Space Characterization Through Backpropagated Gradients. ICIP 2019: 2651-2655 - [i6]Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib:
Semantically Interpretable and Controllable Filter Sets. CoRR abs/1902.06334 (2019) - [i5]Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Distorted Representation Space Characterization Through Backpropagated Gradients. CoRR abs/1908.09998 (2019) - 2018
- [c3]Mohit Prabhushankar
Semantically Interpretable and Controllable Filter Sets. ICIP 2018: 1053-1057 - [i4]Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib:
UNIQUE: Unsupervised Image Quality Estimation. CoRR abs/1810.06631 (2018) - [i3]Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework. CoRR abs/1811.08927 (2018) - [i2]Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib:
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. CoRR abs/1811.08947 (2018) - 2017
- [c2]Mohit Prabhushankar
Generating adaptive and robust filter sets using an unsupervised learning framework. ICIP 2017: 3041-3045 - [c1]Mohit Prabhushankar
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. IQSP 2017: 30-35 - [i1]Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib:
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition. CoRR abs/1712.02463 (2017) - 2016
- [j1]Dogancan Temel, Mohit Prabhushankar
UNIQUE: Unsupervised Image Quality Estimation. IEEE Signal Process. Lett. 23(10): 1414-1418 (2016)
Coauthor Index
aka: Kiran Premdat Kokilepersaud
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last updated on 2024-12-01 00:18 CET by the dblp team
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