Zero-Shot Transfer Learning
A learning paradigm where a model is able to generalize to new tasks without having seen any examples of those tasks during training.
Category: Concepts
TabPFN
A surrogate model designed for accurate and efficient prediction in optimization tasks, with capabilities for uncertainty estimation.
Exploratory Landscape Analysis
A method used to analyze the optimization landscape to better understand the characteristics of the optimization problem and improve search strategies.
Meta-Black-Box Optimization
An optimization framework that utilizes meta-learning techniques to improve the performance of black-box optimization methods across various tasks.
Dual-Control Bi-Space Surrogate-Assisted Evolutionary Algorithm
A framework that combines dual control mechanisms for candidate generation and infill criterion selection in surrogate-assisted evolutionary algorithms.
Control Overhead
The additional resources and time required to manage and control a system, which can impact overall performance.
Software Simulation
The process of using software tools to model and analyze the behavior of a system before physical implementation.
Energy Efficiency
The ability to perform tasks using minimal energy, particularly important in the design of communication systems to reduce power consumption.
Bregman Divergence
A family of loss functions that generalizes the notion of distance between points in a convex space.
FPGA Implementation
The use of field-programmable gate arrays to implement and test hardware designs, allowing for reconfigurable hardware solutions.