mlsanityData to 7 Oct 2026

A Survey on Computational Intelligence-based Transfer Learning

arXiv 2206.10593 ↗First posted 17 Jun 2022cs.AI cs.LG cs.NEcited by 0

Not on the map. Why?

Abstract (arXiv)

The goal of transfer learning (TL) is providing a framework for exploiting acquired knowledge from source to target data. Transfer learning approaches compared to traditional machine learning approaches are capable of modeling better data patterns from the current domain. However, vanilla TL needs performance improvements by using computational intelligence-based TL. This paper studies computational intelligence-based transfer learning techniques and categorizes them into neural network-based, evolutionary algorithm-based, swarm intelligence-based and fuzzy logic-based transfer learning.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 60 references that are in the map. First posted on arXiv 17 Jun 2022.

Builds on

15 of 60 references.

References · 15

  1. 2015Domain-Adversarial Training of Neural Networkscited by 3,023
  2. 2015Learning Transferable Features with Deep Adaptation Networkscited by 1,323
  3. 2017Adversarial Discriminative Domain Adaptationcited by 1,309
  4. 2019A Comprehensive Survey on Transfer Learningcited by 1,154
  5. 2016Deep Transfer Learning with Joint Adaptation Networkscited by 609
  6. 2014Deep Domain Confusion: Maximizing for Domain Invariancecited by 597
  7. 2017PathNet: Evolution Channels Gradient Descent in Super Neural Networkscited by 362
  8. 2016Unsupervised Domain Adaptation with Residual Transfer Networkscited by 340
  9. 2017Label Efficient Learning of Transferable Representations across Domains and Taskscited by 49
  10. 2016Transfer Learning based Dynamic Multiobjective Optimization Algorithmscited by 17
  11. 2018RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networkscited by 10
  12. 2018Causal Generative Domain Adaptation Networkscited by 9
3 more
  1. 2018DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classificationcited by 5
  2. 2021Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detectioncited by 3
  3. 2016Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimizationcited by 2

Built on by

Not cited yet.