Prabhushankar, Mohit

10 publications

WACV 2025 HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib

CVPRW 2024 PointPrompt: A Multi-Modal Prompting Dataset for Segment Anything Model Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib

ICML 2024 Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert, Mohit Prabhushankar, Ghassan Alregib

AAAI 2024 Understanding and Leveraging the Learning Phases of Neural Networks Johannes Schneider, Mohit Prabhushankar

NeurIPSW 2023 Explaining Explainers: Necessity and Sufficiency in Tabular Data Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib

NeurIPSW 2023 Learning in Clinical Trial Settings Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib

NeurIPS 2022 Introspective Learning : A Two-Stage Approach for Inference in Neural Networks Mohit Prabhushankar, Ghassan AlRegib

NeurIPS 2022 OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles Wykoff

ECCV 2020 Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib

ICLR 2020 Characterizing Missing Information in Deep Networks Using Backpropagated Gradients Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib