feature representation
Feature representation involves the transformation of raw data into a structured format that a model can process effectively. Quality feature representation is vital for capturing the underlying patterns and ensuring robust model performance.
- Availability-aware Sensor Fusion via Unified Canonical Space
- Enhancing Contrastive Learning with Variable Similarity
- Explainable Reinforcement Learning from Human Feedback to Improve Alignment
- Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
- Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
- Spiking Neural Networks Need High-Frequency Information