Ola Ahmad
9 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Mathematics & Optimization
(1)
Reinforcement Learning
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Core AI · Computer Vision
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Keywords
out-of-distribution detection
(2)
wide-angle len
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zero-shot adaptation
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semantic segmentation
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partial monitoring
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transfer learning
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autonomous driving
(1)
transformer architecture
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deformable convolution
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object recognition
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zero-shot learning
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depth estimation
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neural network interpretability
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out-of-distribution generalization
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regret guarantee
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classification
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cost-sensitive learning
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convolutional neural network
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u-net architecture
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domain adaptation
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Papers
Network-agnostic Distortion-robust Projections for Wide-angle Image Understanding
WACV 2026
DarSwin-Unet: Distortion Aware Architecture
WACV 2025
Causal Analysis for Robust Interpretability of Neural Networks
WACV 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
WACV 2024
Neural Active Learning Meets the Partial Monitoring Framework
UAI 2024
Randomized Confidence Bounds for Stochastic Partial Monitoring
ICML 2024
DarSwin: Distortion Aware Radial Swin Transformer
ICCV 2023
Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract)
AAAI 2023
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
AAAI 2022