Training Example

Training example research focuses on understanding how individual training examples impact model behavior and performance, particularly in scenarios with limited data or complex model architectures. Current efforts investigate methods for improving training efficiency by selectively using or augmenting examples, analyzing the influence of specific examples on model predictions, and mitigating issues like memorization and forgetting. This research is crucial for enhancing model robustness, interpretability, and generalization, with implications for various applications including natural language processing, medical image analysis, and program synthesis.