mlsanityData to 7 Oct 2026

Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields

arXiv 2406.18311 ↗First posted 26 Jun 2024cs.LGcited by 8

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Abstract (arXiv)

This paper examines an online multi-task learning (OMTL) method, which processes data sequentially to predict labels across related tasks. The framework learns task weights and their relatedness concurrently. Unlike previous models that assumed static task relatedness, our approach treats tasks as initially independent, updating their relatedness iteratively using newly calculated weight vectors. We introduced three rules to update the task relatedness matrix: OMTLCOV, OMTLLOG, and OMTLVON, and compared them against a conventional method (CMTL) that uses a fixed relatedness value. Performance evaluations on three datasets a spam dataset and two EEG datasets from construction workers under varying conditions demonstrated that our OMTL methods outperform CMTL, improving accuracy by 1% to 3% on EEG data, and maintaining low error rates around 12% on the spam dataset.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 13 of its 30 references that are in the map. First posted on arXiv 26 Jun 2024.

Builds on

13 of 30 references.

References · 13

  1. 2023VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understandingcited by 62
  2. 2023Disinformation Detection: An Evolving Challenge in the Age of LLMscited by 41
  3. 2023MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learningcited by 41
  4. 2021GAIA: A Transfer Learning System of Object Detection that Fits Your Needscited by 27
  5. 2024A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentationcited by 20
  6. 2024Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learningcited by 15
  7. 2024Rumor Detection with a novel graph neural network approachcited by 14
  8. 2024Image Captioning in news report scenariocited by 11
  9. 2024Localization Through Particle Filter Powered Neural Network Estimated Monocular Camera Posescited by 11
  10. 2024Research on Image Recognition Technology Based on Multimodal Deep Learningcited by 11
  11. 2018Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalancecited by 7
  12. 2022Beyond Bounding Box: Multimodal Knowledge Learning for Object Detectioncited by 5
1 more
  1. 2022Visual Encoding and Debiasing for CTR Predictioncited by 5

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Cited by year

Citing papers per year: 2024: 8.

8 papers.

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  3. 2024AR Overlay: Training Image Pose Estimation on Curved Surface in a Synthetic Waycited by 15
  4. 2024Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layoutcited by 14
  5. 2024In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminatescited by 7
  6. 2024Comprehensive Overview of Artificial Intelligence Applications in Modern Industriescited by 6
  7. 2024Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspacecited by 2
  8. 2024Enhanced Credit Score Prediction Using Ensemble Deep Learning Modelcited by 2