Holdout Set

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

1 dataset 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

17 shown of 17 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.

• Distribution-Free, Risk-Controlling Prediction Sets
  7 Jan 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  While improving prediction accuracy has been the focus of machine learning in recent years, this alone does not suffice for reliable decision-making.
• Understanding Transformers via N-gram Statistics
  30 Jun 2024 2 repositories listed
  Transformer based large-language models (LLMs) display extreme proficiency with language yet a precise understanding of how they work remains elusive.
• Parametric Scaling Law of Tuning Bias in Conformal Prediction
  5 Feb 2025 1 repository listed
  In this work, we empirically find that the tuning bias - the coverage gap introduced by leveraging the same dataset for tuning and calibration, is negligible for simple parameter tuning in many conformal prediction…
• Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
  13 Dec 2024 1 repository listed
  However, existing methods of improving multicalibration involve reducing initial training data to create a holdout set for post-processing, which is not ideal when minority training data is already sparse.
• Comprehensive dataset of user-submitted articles with ideological and extreme bias from Reddit
  12 Aug 2024 1 repository listed
  In total, our combined dataset of 1.
• TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
  31 May 2024 1 repository listed
  Objectives: To present a publicly available torso segmentation network for large epidemiology datasets on volumetric interpolated breath-hold examination (VIBE) images.
• Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
  17 Jul 2023 1 repository listed
  Liver tumor segmentation and classification are important tasks in computer aided diagnosis.
• Testing for Overfitting
  9 May 2023 1 repository listed
  High complexity models are notorious in machine learning for overfitting, a phenomenon in which models well represent data but fail to generalize an underlying data generating process.
• xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
  2 Jun 2022 1 repository listed
  Unsustainable fishing practices worldwide pose a major threat to marine resources and ecosystems.
• Holdouts set for safe predictive model updating
  13 Feb 2022 1 repository listed
  To address this, we propose updating using a `holdout set' - a subset of the population that does not receive interventions guided by the risk score.
• Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set
  31 May 2021 1 repository listed
  The training of neural networks is usually monitored with a validation (holdout) set to estimate the generalization of the model.
• RATT: Leveraging Unlabeled Data to Guarantee Generalization
  1 May 2021 1 repository listed Syntology ran 1 of 16 samples · 15 unverified
  To assess generalization, machine learning scientists typically either (i) bound the generalization gap and then (after training) plug in the empirical risk to obtain a bound on the true risk; or (ii) validate…
• Generalization of Reinforcement Learners with Working and Episodic Memory
  29 Oct 2019 1 repository listed
  In this paper, we aim to develop a comprehensive methodology to test different kinds of memory in an agent and assess how well the agent can apply what it learns in training to a holdout set that differs from the…
• Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
  18 Apr 2019 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  The subsequent LRP visualization revealed that the CNN model focuses indeed on individual lesions, but also incorporates additional information such as lesion location, non-lesional white matter or gray matter areas…
• Template-Based Automatic Search of Compact Semantic Segmentation Architectures
  4 Apr 2019 1 repository listed
  Automatic search of neural architectures for various vision and natural language tasks is becoming a prominent tool as it allows to discover high-performing structures on any dataset of interest.
• A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates
  27 Feb 2018 1 repository listed
  Our aim was to evaluate a new method that could partially automate the identification of trial registrations that may be relevant for systematic review updates.
• Generalization in Adaptive Data Analysis and Holdout Reuse
  8 Jun 2015 1 repository listed
  We also formalize and address the general problem of data reuse in adaptive data analysis.

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.