Mohit Prabhushankar
7 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Conference Polyglot · Silver
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Gold
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Applications
(1)
Clinical
(1)
Keywords
multimodal learning
(2)
neural network
(2)
representation learning
(2)
uncertainty estimation
(2)
information bottleneck
(1)
self-supervised learning
(1)
action recognition
(1)
hierarchical clustering
(1)
computer vision
(1)
medical image analysis
(1)
medical image classification
(1)
gradient features
(1)
learning dynamics
(1)
out-of-distribution detection
(1)
multimodal fusion
(1)
representation collapse
(1)
medical imaging
(1)
reconstruction loss
(1)
calibration error
(1)
transfer learning
(1)
Papers
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
WACV 2026
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
WACV 2025
Transitional Uncertainty with Layered Intermediate Predictions
ICML 2024
Understanding and Leveraging the Learning Phases of Neural Networks
AAAI 2024
Introspective Learning : A Two-Stage approach for Inference in Neural Networks
NeurIPS 2022
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
NeurIPS 2022
Backpropagated Gradient Representations for Anomaly Detection
ECCV 2020