数据集与基准论文趋势 2023–2026

新数据集与评测协议

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,856 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

数据集与基准论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

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

全部数据集与基准论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 948 篇，第 12 / 19 页

  1. ICML 2024Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
  2. ICML 2024Does Label Smoothing Help Deep Partial Label Learning?
  3. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
  4. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
  5. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
  6. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
  7. ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
  8. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
  9. ICML 2024Dynamic Survival Analysis with Controlled Latent States
  10. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
  11. ICML 2024Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
  12. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
  13. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
  14. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
  15. ICML 2024Evaluation of Test-Time Adaptation Under Computational Time Constraints
  16. ICML 2024Expressivity and Generalization: Fragment-Biases for Molecular GNNs
  17. ICML 2024Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
  18. ICML 2024Faithfulness Measurable Masked Language Models
  19. ICML 2024Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
  20. ICML 2024Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
  21. ICML 2024Fine-grained Classes and How to Find Them
  22. ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
  23. ICML 2024FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
  24. ICML 2024Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
  25. ICML 2024GATE: How to Keep Out Intrusive Neighbors
  26. ICML 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagation
  27. ICML 2024Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
  28. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
  29. ICML 2024GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
  30. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
  31. ICML 2024Graph Positional and Structural Encoder
  32. ICML 2024GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs
  33. ICML 2024Handling Heterogeneous Curvatures in Bandit LQR Control
  34. ICML 2024HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
  35. ICML 2024Harmonizing Generalization and Personalization in Federated Prompt Learning
  36. ICML 2024Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
  37. ICML 2024Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
  38. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
  39. ICML 2024How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
  40. ICML 2024How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
  41. ICML 2024How Spurious Features are Memorized: Precise Analysis for Random and NTK Features
  42. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
  43. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
  44. ICML 2024Hybrid Reinforcement Learning from Offline Observation Alone
  45. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
  46. ICML 2024Imitation Learning in Discounted Linear MDPs without exploration assumptions
  47. ICML 2024Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
  48. ICML 2024Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
  49. ICML 2024Improved Operator Learning by Orthogonal Attention
  50. ICML 2024Improving Antibody Humanness Prediction using Patent Data

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 查数据集与基准在 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-and-benchmarks"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇数据集与基准论文？
共 5,856 篇，按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。
NeurIPS 2026 有多少篇数据集与基准论文？
NeurIPS 2026 有 623 篇数据集与基准论文，上一届是 637 篇。
ICLR 2026 有多少篇数据集与基准论文？
ICLR 2026 有 635 篇数据集与基准论文，上一届是 419 篇。
ICML 2026 有多少篇数据集与基准论文？
ICML 2026 有 275 篇数据集与基准论文，上一届是 189 篇。
CVPR 2026 有多少篇数据集与基准论文？
CVPR 2026 有 458 篇数据集与基准论文，上一届是 337 篇。
哪个会议的数据集与基准论文最多？
NeurIPS，2023–2026 年共 1,935 篇。

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