Supervised Fine-Tuning
A process of further training a pre-trained model on a labeled dataset to improve performance on specific tasks.
Category: Concepts
TwiG-50K dataset
A curated dataset specifically designed for training and evaluating the TwiG framework.
Fitness Performance Analysis
An evaluation method used to assess how well a solution or operator performs in achieving the objectives of an optimization problem.
Flexible Job Shop Scheduling Problem
A complex scheduling problem where jobs with various operations need to be assigned to machines in a flexible manner to optimize performance metrics.
Kesten–Stigum (KS) Threshold
A critical threshold in the analysis of community detection algorithms, beyond which it is possible to recover the community structure reliably.
Dynamic Operators
Operators in evolutionary algorithms that adapt their behavior based on the current state of the search process.
Minimax-optimal Misclassification Rate
The lowest possible error rate that can be achieved by an algorithm under the worst-case scenario for a given problem.
Model Interpretability
Model interpretability refers to the degree to which a human can understand the cause of a decision made by a machine learning model.
Linear Probe
A linear probe is a simple linear classifier used to evaluate the performance of features extracted from a pre-trained model.
CLIP
CLIP is a model that learns visual concepts from natural language descriptions, enabling zero-shot transfer to various vision tasks.