数据集调试论文趋势 2023–2026
错误样本
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 119 篇被归入该主题的论文。
主要结论
- 数据集调试论文从 2023 年的 30 篇降到 2026 年的 22 篇，热度在回落。
- NeurIPS 是发数据集调试论文最多的会议，2023–2026 年共 40 篇，占四个会议总量的 34%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 5 篇。
- 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的合成数据生成是 1.3 倍，数据集调试是 0.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 5 | 3 | 12 | 30 |
| 2024 | 12 | 9 | 8 | 11 | 40 |
| 2025 | 9 | 6 | 2 | 10 | 27 |
| 2026 | 9 | 4 | 3 | 6 | 22 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026Can Folding Models Tell Binders from Bluffers? Evidence from POISK: The Patent-Derived Antibody Dataset
- ICML 2026Exploring 3D Dataset Pruning
- ICLR 2026Slicing Wasserstein over Wasserstein via Functional Optimal Transport
- CVPR 2026Rethinking Dataset Distillation Hard Truths about Soft Labels
- NeurIPS 2025Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
- ICML 2025Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
- ICLR 2025Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks
- CVPR 2025Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
- NeurIPS 2024Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
- ICML 2024SPADE: Sparsity-Guided Debugging for Deep Neural Networks
- ICLR 2024Teaching Large Language Models to Self-Debug
- CVPR 2024LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
- NeurIPS 2023ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
- ICML 2023Dataset Distillation with Convexified Implicit Gradients
- ICLR 2023Concept-level Debugging of Part-Prototype Networks
- CVPR 2023FLAG3D: A 3D Fitness Activity Dataset With Language Instruction
- NeurIPS 2026CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
- ICML 2026Magnitude Distance: A Geometric Measure of Dataset Similarity
- ICLR 2026BANZ-FS: BANZSL Fingerspelling Dataset
- CVPR 2026Beyond Soft Label Dataset Distillation via Orthogonal Gradient Matching
全部数据集调试论文
共 16 篇，第 1 / 1 页
- ICML 2026Exploring 3D Dataset Pruning
- ICML 2026Magnitude Distance: A Geometric Measure of Dataset Similarity
- ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
- ICML 2025How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
- ICML 2025Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
- ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
- ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
- ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples
- ICML 2024Position: Measure Dataset Diversity, Don't Just Claim It
- ICML 2024PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
- ICML 2024SPADE: Sparsity-Guided Debugging for Deep Neural Networks
- ICML 2024Trained Random Forests Completely Reveal your Dataset
- ICML 2024What is Dataset Distillation Learning?
- ICML 2023Dataset Distillation with Convexified Implicit Gradients
- ICML 2023Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies
- ICML 2023Why does Throwing Away Data Improve Worst-Group Error?
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查数据集调试在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dataset-debugging"}
常见问题
- 2023–2026 年四大会议一共有多少篇数据集调试论文？
- 共 119 篇，按年份分别是 2023 年 30 篇、2024 年 40 篇、2025 年 27 篇、2026 年 22 篇。
- NeurIPS 2026 有多少篇数据集调试论文？
- NeurIPS 2026 有 9 篇数据集调试论文，上一届是 9 篇。
- ICLR 2026 有多少篇数据集调试论文？
- ICLR 2026 有 4 篇数据集调试论文，上一届是 6 篇。
- ICML 2026 有多少篇数据集调试论文？
- ICML 2026 有 3 篇数据集调试论文，上一届是 2 篇。
- CVPR 2026 有多少篇数据集调试论文？
- CVPR 2026 有 6 篇数据集调试论文，上一届是 10 篇。
- 哪个会议的数据集调试论文最多？
- NeurIPS，2023–2026 年共 40 篇。