Nov 29, 2022 · Multitask optimization (MTO) is a new optimization paradigm that leverages useful information contained in multiple tasks to help solve each ...

Nov 8, 2022 · Our proposal designs a domain adaptation- based mapping strategy to reduce the difference across solution domains and find more genetic traits ...

Multitask optimization (MTO) is a new optimization paradigm that leverages useful information contained in multiple tasks to help solve each other.

Multitasking optimization (MTO) aims to solve multiple tasks simultaneously in a single run. Many multitasking evolutionary algorithms (MTEAs) have been ...

We propose a neural network framework that supports domain adaptation for multiple tasks simultaneously, and learns shared representations that better ...

To address these limitations, this paper proposes a co-evolution and domain adaptation (CEDA) method for CMTO. First, a new constraint relaxation-based domain ...

Oct 12, 2024 · This approach enables large language models (LLMs) pre-trained on general corpus to adapt to different target task domains with a limited number ...

BERT is a transformer-based model that pretrains on unsupervised tasks to learn weights that generate rich word representations from input tokens.

Missing: Optimization. | Show results with:Optimization.

Theoretical analysis of domain adaptation with optimal transport. ... Multi-task learning as multi- objective optimization. ... Multitask General- ized ...