Results for "label prediction"

Selecting the most informative samples to label (e.g., uncertainty sampling) to reduce labeling cost.

Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual annotation.

A function measuring prediction error (and sometimes calibration), guiding gradient-based optimization.

A model that assigns probabilities to sequences of tokens; often trained by next-token prediction.

Probabilistic graphical model for structured prediction.

Low-latency prediction per request.

Learning by minimizing prediction error.

Deep learning system for protein structure prediction.

Training objective where the model predicts the next token given previous tokens (causal modeling).

Shift in model outputs.

Predicting case success probabilities.