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 6 / 7 页

  1. ICML 2024Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
  2. ICML 2024Regularized Q-learning through Robust Averaging
  3. ICML 2024Residual Quantization with Implicit Neural Codebooks
  4. ICML 2024Rethinking Decision Transformer via Hierarchical Reinforcement Learning
  5. ICML 2024Rethinking Generative Large Language Model Evaluation for Semantic Comprehension
  6. ICML 2024Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
  7. ICML 2024Rethinking the Flat Minima Searching in Federated Learning
  8. ICML 2024Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
  9. ICML 2024RLVF: Learning from Verbal Feedback without Overgeneralization
  10. ICML 2024Robust Learning-Augmented Dictionaries
  11. ICML 2024Robust Universal Adversarial Perturbations
  12. ICML 2024Rolling Diffusion Models
  13. ICML 2024Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
  14. ICML 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
  15. ICML 2024Saliency strikes back: How filtering out high frequencies improves white-box explanations
  16. ICML 2024SAPG: Split and Aggregate Policy Gradients
  17. ICML 2024Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
  18. ICML 2024Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
  19. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
  20. ICML 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
  21. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
  22. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
  23. ICML 2024Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
  24. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
  25. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
  26. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
  27. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
  28. ICML 2024Sparse and Structured Hopfield Networks
  29. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
  30. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
  31. ICML 2024Statistical Inference Under Constrained Selection Bias
  32. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
  33. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
  34. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
  35. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
  36. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization
  37. ICML 2024The Fundamental Limits of Least-Privilege Learning
  38. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
  39. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
  40. ICML 2024Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
  41. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  42. ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
  43. ICML 2024Total Variation Distance Meets Probabilistic Inference
  44. ICML 2024Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
  45. ICML 2024Towards Compositionality in Concept Learning
  46. ICML 2024Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
  47. ICML 2024Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
  48. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
  49. ICML 2024Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
  50. ICML 2024Towards Scalable and Versatile Weight Space Learning

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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