training examples
Specific instances or data points used during the training phase of machine learning models. The quality, quantity, and diversity of training examples can heavily influence a model's performance and generalization.
- Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
- Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
- Capturing Individual Human Preferences with Reward Features
- How Well Can Differential Privacy Be Audited in One Run?
- RePO: Understanding Preference Learning Through ReLU-Based Optimization
- The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels