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 1,346 篇，第 16 / 27 页

  1. ICML 2024Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
  2. ICML 2024Limited Preference Aided Imitation Learning from Imperfect Demonstrations
  3. ICML 2024LLaGA: Large Language and Graph Assistant
  4. ICML 2024LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
  5. ICML 2024Localizing Task Information for Improved Model Merging and Compression
  6. ICML 2024Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
  7. ICML 2024Low-Rank Similarity Mining for Multimodal Dataset Distillation
  8. ICML 2024Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
  9. ICML 2024MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
  10. ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
  11. ICML 2024Mapping the Multiverse of Latent Representations
  12. ICML 2024Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
  13. ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
  14. ICML 2024Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
  15. ICML 2024Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
  16. ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples
  17. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
  18. ICML 2024MGit: A Model Versioning and Management System
  19. ICML 2024Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
  20. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
  21. ICML 2024MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
  22. ICML 2024Model Assessment and Selection under Temporal Distribution Shift
  23. ICML 2024Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks
  24. ICML 2024Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
  25. ICML 2024Multigroup Robustness
  26. ICML 2024MultiMax: Sparse and Multi-Modal Attention Learning
  27. ICML 2024Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
  28. ICML 2024Naive Bayes Classifiers over Missing Data: Decision and Poisoning
  29. ICML 2024Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
  30. ICML 2024Neural Jump-Diffusion Temporal Point Processes
  31. ICML 2024NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors
  32. ICML 2024Neuro-Symbolic Temporal Point Processes
  33. ICML 2024New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
  34. ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
  35. ICML 2024Non-clairvoyant Scheduling with Partial Predictions
  36. ICML 2024O$n$ Learning Deep O($n$)-Equivariant Hyperspheres
  37. ICML 2024Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
  38. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
  39. ICML 2024On the Last-Iterate Convergence of Shuffling Gradient Methods
  40. ICML 2024On the Nonlinearity of Layer Normalization
  41. ICML 2024On The Statistical Complexity of Offline Decision-Making
  42. ICML 2024On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
  43. ICML 2024One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
  44. ICML 2024OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
  45. ICML 2024Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
  46. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
  47. ICML 2024OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models
  48. ICML 2024OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
  49. ICML 2024OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
  50. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport

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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