Google llc (20240289605). Proxy Task Design Tools for Neural Architecture Search simplified abstract
Contents
Proxy Task Design Tools for Neural Architecture Search
Organization Name
Inventor(s)
Xiang Xu of Mountain View CA (US)
Yen-Min Hsu of Mountain View CA (US)
Bo Wu of Mountain View CA (US)
Daiyi Peng of Mountain View CA (US)
Proxy Task Design Tools for Neural Architecture Search - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240289605 titled 'Proxy Task Design Tools for Neural Architecture Search
The abstract of the patent application discusses tools for designing proxy tasks for neural architecture searches, aiming to minimize time and effort in the process.
- Tools automatically find optimal proxy tasks for neural architecture searches
- Search for optimal proxy tasks with the lowest search cost and meeting correlation requirements
- Select candidate models for computing correlation scores of proxy tasks
- Measure variance of a model to design the proxy task effectively
- Minimize time and effort involved in designing the proxy task
Potential Applications: - Streamlining neural architecture searches - Improving efficiency in machine learning model design
Problems Solved: - Reducing the manual effort required in designing proxy tasks - Enhancing the accuracy of neural architecture searches
Benefits: - Faster and more efficient neural architecture searches - Improved performance of machine learning models
Commercial Applications: - AI and machine learning companies can utilize these tools to optimize their model design processes and improve their products.
Questions about Proxy Task Design Tools: 1. How do these tools automate the process of finding optimal proxy tasks?
These tools use candidate models to compute correlation scores and measure variance to identify the best proxy tasks.
2. What is the main benefit of using proxy task design tools in neural architecture searches?
The main benefit is the reduction of time and effort required in designing proxy tasks, leading to more efficient model design processes.
Original Abstract Submitted
aspects of the disclosure are directed to proxy task design tools that automatically find proxy tasks, such as optimal proxy tasks, for neural architecture searches. the proxy task design tools can include one or more tools to search for an optimal proxy task having the lowest neural architecture search cost while meeting a minimum correlation requirement threshold after being provided with a proxy task search space definition. the proxy task design tools can further include one or more tools to select candidate models for computing correlation scores of proxy tasks as well as one or more tools to measure variance of a model. the proxy task design tools can minimize time and effort involved in designing the proxy task.
