Data Cleaning papers, 2023–2026
Noisy labels
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 48 papers are tagged with this topic.
Key findings
- Data Cleaning fell from 21 papers in 2023 to 10 in 2026, so interest is cooling.
- ICML publishes the most Data Cleaning work: 17 papers from 2023 to 2026, 35% of the four-venue total.
- Among the 5 topics under Data-Centric AI, it ranks #5 by 2026 paper count; the fastest grower in the group, Synthetic Data Generation, is up 1.3x versus 0.5x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 2 | 2 | 9 | 8 | 21 |
| 2024 | 0 | 0 | 5 | 6 | 11 |
| 2025 | 2 | 1 | 2 | 1 | 6 |
| 2026 | 6 | 1 | 1 | 2 | 10 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment
- ICML 2026Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
- ICLR 2026Enhancing Learning with Noisy Labels via Rockafellian Relaxation
- CVPR 2026Cleaning the Pool Progressive Filtering of Unlabeled Pools in Deep
- NeurIPS 2025Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
- ICML 2025Free Process Rewards without Process Labels
- ICLR 2025Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
- CVPR 2025Directional Label Diffusion Model for Learning from Noisy Labels
- ICML 2024Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
- CVPR 2024Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
- NeurIPS 2023Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model
- ICML 2023Data Structures for Density Estimation
- ICLR 2023Learning to Segment from Noisy Annotations: A Spatial Correction Approach
- CVPR 2023Fine-Grained Classification With Noisy Labels
- NeurIPS 2026Memorization Is Folding: Topological Signatures of Noisy-Label Learning
- CVPR 2026Debiased Sample Selection for Learning with Noisy Labels
- NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
- ICML 2025Retraining with Predicted Hard Labels Provably Increases Model Accuracy
- ICML 2024Pi-DUAL: Using privileged information to distinguish clean from noisy labels
- CVPR 2024Learning with Structural Labels for Learning with Noisy Labels
All Data Cleaning papers
2 papers, page 1 of 1
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FAQ
- How many Data Cleaning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 48 in total: 21 in 2023, 11 in 2024, 6 in 2025, 10 in 2026.
- How many Data Cleaning papers are at NeurIPS 2026?
- NeurIPS 2026 has 6 Data Cleaning papers, versus 2 the year before.
- How many Data Cleaning papers are at ICLR 2026?
- ICLR 2026 has 1 Data Cleaning papers, versus 1 the year before.
- How many Data Cleaning papers are at ICML 2026?
- ICML 2026 has 1 Data Cleaning papers, versus 2 the year before.
- How many Data Cleaning papers are at CVPR 2026?
- CVPR 2026 has 2 Data Cleaning papers, versus 1 the year before.
- Which conference publishes the most Data Cleaning papers?
- ICML, with 17 papers from 2023 to 2026.