Methods › General › Deep Tabular Learning › Hierarchical MTL

Hierarchical Multi-Task Learning

Hierarchical MTL

5 papers tagged archive 2025-07-28

Introduced by Anders S{\o}gaard et al. in Deep multi-task learning with low level tasks supervised at lower layers

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Multi-task learning (MTL) introduces an inductive bias, based on a-priori relations between tasks: the trainable model is compelled to model more general dependencies by using the abovementioned relation as an important data feature. Hierarchical MTL, in which different tasks use different levels of the deep neural network, provides more effective inductive bias compared to “flat” MTL. Also, hierarchical MTL helps to solve the vanishing gradient problem in deep learning.

PaperSource

Papers archive 2025-07-28

5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Multi-Task Learning3
Recommendation Systems2
CCG Supertagging1
Chunking1
Domain Adaptation1
Generalization Bounds1
Prediction1
Session-Based Recommendations1
Weather Forecasting1
parameter estimation1
regression1

Usage over time archive 2025-07-28

Papers per year tagged with Hierarchical MTL: 2016 to 2023, peak 2 2 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 2 papers 2021 2022: 0 papers 2022 2023: 2 papers 2023
Papers per year the archive tags with this method, by the paper's archive date (5 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Deep Tabular Learning

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