high dimensionality
High dimensionality refers to data with a large number of features or variables. In AI, high dimensional data poses challenges like the curse of dimensionality, which can lead to overfitting and increased computational complexity, necessitating dimensionality reduction techniques.
- ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
- Continuous Diffusion Model for Language Modeling
- Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
- Neural Evolution Strategy for Black-box Pareto Set Learning
- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization