computational budget
Computational budget refers to the constraints on computational resources (time, memory, processing power) available for training or deploying AI models. Managing this budget is crucial for optimizing efficiency and scalability in AI systems.
- Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
- Memory-Enhanced Neural Solvers for Routing Problems
- Multilevel neural simulation-based inference
- Path Gradients after Flow Matching
- Resource-Constrained Federated Continual Learning: What Does Matter?
- SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders