Classification Consistency

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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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (13 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.

• Making Convolutional Networks Shift-Invariant Again
  25 Apr 2019 7 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  The well-known signal processing fix is anti-aliasing by low-pass filtering before downsampling.
• Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
  10 Jul 2024 1 repository listed Syntology ran 9 of 10 samples · 1 unverified
  Hyperspectral image classification, a task that assigns pre-defined classes to each pixel in a hyperspectral image of remote sensing scenes, often faces challenges due to the neglect of correlations between spectrally…
• Implicit Generative Prior for Bayesian Neural Networks
  27 Apr 2024 1 repository listed
  The results of our experiments highlight the superiority of our proposed framework over existing methods, such as sparse variational Bayesian and generative models, in terms of prediction accuracy and uncertainty…
• End-to-End Semi-Supervised Learning for Video Action Detection
  8 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In this work, we focus on semi-supervised learning for video action detection which utilizes both labeled as well as unlabeled data.
• Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
  30 Dec 2021 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  We study a family of loss functions named label-distributionally robust (LDR) losses for multi-class classification that are formulated from distributionally robust optimization (DRO) perspective, where the uncertainty…

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.