Multi-target regression

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (35 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Materials Representation and Transfer Learning for Multi-Property Prediction
  4 Jun 2021 2 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  To address these issues, we introduce the Hierarchical Correlation Learning for Multi-property Prediction (H-CLMP) framework that seamlessly integrates (i) prediction using only a material's composition, (ii) learning…
• Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis
  6 Feb 2025 1 repository listed
  This regularizer serves a dual purpose: on the one hand, it mitigates overfitting by enforcing a constraint on the distributional difference between predictions and noisy targets.
• Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
  13 Sep 2024 1 repository listed
  The selection of algorithms is a crucial step in designing AI services for real-world time series classification use cases.
• TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
  30 Jul 2023 1 repository listed
  Polynomial regression is widely used and can help to express nonlinear patterns.
• Local Interpretability of Random Forests for Multi-Target Regression
  29 Mar 2023 1 repository listed
  Although model-agnostic techniques exist for multi-target regression, specific techniques tailored to random forest models are not available.
• JGPR: a computationally efficient multi-target Gaussian process regression algorithm
  11 May 2022 1 repository listed
  Multi-target regression algorithms are designed to predict multiple outputs at the same time, and allow us to take all output variables into account during the training phase.
• Comparison of single and multitask learning for predicting cognitive decline based on MRI data
  21 Sep 2021 1 repository listed
  The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a neuropsychological tool that has been designed to assess the severity of cognitive symptoms of dementia.
• A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area
  12 May 2021 1 repository listed
  The uncertainty range of the posterior WHPA distribution is affected by the number and position of data sources (injection wells).
• Neural Unsigned Distance Fields for Implicit Function Learning
  26 Oct 2020 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  NDF represent surfaces at high resolutions as prior implicit models, but do not require closed surface data, and significantly broaden the class of representable shapes in the output.
• Learning the Pareto Front with Hypernetworks
  8 Oct 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Here, we tackle the problem of learning the entire Pareto front, with the capability of selecting a desired operating point on the front after training.
• DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection
  23 Aug 2020 1 repository listed
  Intentional manipulation of invoices that lead to undervaluation of trade goods is the most common type of customs fraud to avoid ad valorem duties and taxes.
• Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
  16 Jun 2020 1 repository listed
  In many real-world applications of deep learning, estimation of a target may rely on various types of input data modes, such as audio-video, image-text, etc.
• Boosting on the shoulders of giants in quantum device calibration
  13 May 2020 1 repository listed
  Here we introduce a new approach to machine learning that is able to leverage prior scientific discoveries in order to improve generalizability over a scientific model.
• INTEL-TAU: A Color Constancy Dataset
  23 Oct 2019 1 repository listed
  In this paper, we describe a new large dataset for illumination estimation.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.