Data Ablation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (10 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.

• Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
  21 Oct 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Training data compositions for Large Language Models (LLMs) can significantly affect their downstream performance.
• Alzheimer's disease detection in PSG signals
  4 Apr 2024 1 repository listed
  This study delves into the potential of utilizing sleep-related electroencephalography (EEG) signals acquired through polysomnography (PSG) for the early detection of AD.
• Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
  15 Aug 2023 1 repository listed
  The concatenating order of LSTM and SC in the proposed hybrid network provides an excellent capability of extraction of sequence-dependent features and other hierarchical spatial features.
• Understanding Robust Overfitting of Adversarial Training and Beyond
  17 Jun 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Here, we explore the causes of robust overfitting by comparing the data distribution of \emph{non-overfit} (weak adversary) and \emph{overfitted} (strong adversary) adversarial training, and observe that the…
• AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning
  13 Jul 2020 1 repository listed
  With AIP, it is trivial to capture the same image under different conditions (e.

Syntology lines on 2 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.