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 318 篇，第 4 / 7 页

  1. ICML 2024Kepler codebook
  2. ICML 2024KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
  3. ICML 2024Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
  4. ICML 2024Language Models as Science Tutors
  5. ICML 2024Large Scale Dataset Distillation with Domain Shift
  6. ICML 2024Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
  7. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
  8. ICML 2024Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
  9. ICML 2024Learning and Forgetting Unsafe Examples in Large Language Models
  10. ICML 2024Learning Decision Policies with Instrumental Variables through Double Machine Learning
  11. ICML 2024Learning Decision Trees and Forests with Algorithmic Recourse
  12. ICML 2024Learning from Integral Losses in Physics Informed Neural Networks
  13. ICML 2024Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
  14. ICML 2024Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
  15. ICML 2024Learning Mixtures of Gaussian Processes through Random Projection
  16. ICML 2024Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
  17. ICML 2024Learning the Target Network in Function Space
  18. ICML 2024Learning to Compile Programs to Neural Networks
  19. ICML 2024Learning to Remove Cuts in Integer Linear Programming
  20. ICML 2024Learning Universal Predictors
  21. ICML 2024Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
  22. ICML 2024Limited Preference Aided Imitation Learning from Imperfect Demonstrations
  23. ICML 2024LLaGA: Large Language and Graph Assistant
  24. ICML 2024LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
  25. ICML 2024Localizing Task Information for Improved Model Merging and Compression
  26. ICML 2024Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
  27. ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
  28. ICML 2024Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
  29. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
  30. ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
  31. ICML 2024Mapping the Multiverse of Latent Representations
  32. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
  33. ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
  34. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
  35. ICML 2024Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
  36. ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples
  37. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
  38. ICML 2024MGit: A Model Versioning and Management System
  39. ICML 2024Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
  40. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
  41. ICML 2024MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
  42. ICML 2024Model Assessment and Selection under Temporal Distribution Shift
  43. ICML 2024Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
  44. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
  45. ICML 2024Multigroup Robustness
  46. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
  47. ICML 2024Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
  48. ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
  49. ICML 2024Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
  50. ICML 2024Neural Jump-Diffusion Temporal Point Processes

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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