computational feasibility
This term refers to whether a given computation can be performed within the constraints of available resources, such as time and memory. In AI research, it is critical to ensure that models are practical to train and deploy given the computational costs.
- Actor-Free Continuous Control via Structurally Maximizable Q-Functions
- Additive Models Explained: A Computational Complexity Approach
- An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
- BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
- Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
- Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks