Error Understanding

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

5 shown of 5 papers with code (9 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.

• Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
  30 Oct 2017 24 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 3 pointer-only (licence)
  Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision problems.
• Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
  3 Oct 2019 9 repositories listed Syntology ran 3 of 13 samples · 10 unverified · 2 pointer-only (licence)
  Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.
• Less is More: Fewer Interpretable Region via Submodular Subset Selection
  14 Feb 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  For incorrectly predicted samples, our method achieves gains of 81.
• Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
  13 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  HSIC measures the dependence between regions of an input image and the output of a model based on kernel embeddings of distributions.
• iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
  8 Mar 2022 1 repository listed
  Error analysis in NLP models is essential to successful model development and deployment.

Syntology lines on 4 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.