efficient training
Efficient training refers to methods and techniques aimed at optimizing the training process of AI models to reduce resource consumption and time while maintaining or enhancing performance. This might involve innovations in algorithms, batch processing, or hardware utilization.
- Deep Continuous-Time State-Space Models for Marked Event Sequences
- MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
- Optimizing Retrieval for RAG via Reinforced Contrastive Learning
- Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
- Sign-In to the Lottery: Reparameterizing Sparse Training
- What Can RL Bring to VLA Generalization? An Empirical Study