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Autonomous Driving

• Multimodal Learning for Autonomous Driving
• Foundation Models for Scene Understanding and Reasoning
• Vision-Language Model (VLM) Distillation
• Efficient AI for Autonomous Systems
• Model Compression and Knowledge Distillation
• Real-Time Adaptation and Inference
• Multi-Task Learning and Generalization
• Unified Architectures for Perception, Prediction, and Planning
• Cross-Task Knowledge Sharing

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