Slice Discovery

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 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.

• Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
  13 Jun 2023 2 repositories listed
  Motivated by these challenges, ML researchers have developed new slice discovery algorithms that aim to group together coherent and high-error subsets of data.
• Domino: Discovering Systematic Errors with Cross-Modal Embeddings
  24 Mar 2022 2 repositories listed Syntology ran 9 of 11 samples · 2 unverified · 5 pointer-only (licence)
  In this work, we address these challenges by first designing a principled evaluation framework that enables a quantitative comparison of SDMs across 1, 235 slice discovery settings in three input domains (natural…
• LADDER: Language Driven Slice Discovery and Error Rectification
  31 Jul 2024 1 repository listed Syntology ran 15 of 17 samples · 2 unverified · 17 pointer-only (licence)
  Error slice discovery is crucial to diagnose and mitigate model errors.
• Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
  17 Jun 2024 1 repository listed
  Sex-based differences in the prevalence of these shortcut features appear to cause the observed classification performance gap, representing a previously underappreciated interaction between shortcut learning and model…
• LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
  3 May 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  The distribution of subpopulations is an important property hidden within a dataset.
• VLSlice: Interactive Vision-and-Language Slice Discovery
  13 Sep 2023 1 repository listed
  Recent work in vision-and-language demonstrates that large-scale pretraining can learn generalizable models that are efficiently transferable to downstream tasks.

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.