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 5,852 篇，第 90 / 118 页

  1. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
  2. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
  3. ICML 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
  4. ICML 2024Trustless Audits without Revealing Data or Models
  5. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
  6. ICML 2024Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
  7. ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
  8. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
  9. ICML 2024Unveiling Privacy, Memorization, and Input Curvature Links
  10. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
  11. ICML 2024Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
  12. ICML 2024Weighted distance nearest neighbor condensing
  13. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
  14. ICML 2024What is Dataset Distillation Learning?
  15. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
  16. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
  17. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
  18. NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
  19. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
  20. NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
  21. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
  22. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
  23. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
  24. NeurIPS 2024A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
  25. NeurIPS 2024A Functional Extension of Semi-Structured Networks
  26. NeurIPS 2024A Generative Model of Symmetry Transformations
  27. NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
  28. NeurIPS 2024A probability contrastive learning framework for 3D molecular representation learning
  29. NeurIPS 2024A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
  30. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
  31. NeurIPS 2024A Systematic Review of NeurIPS Dataset Management Practices
  32. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
  33. NeurIPS 2024A Tractable Inference Perspective of Offline RL
  34. NeurIPS 2024Accuracy is Not All You Need
  35. NeurIPS 2024Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
  36. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
  37. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
  38. NeurIPS 2024Active preference learning for ordering items in- and out-of-sample
  39. NeurIPS 2024ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
  40. NeurIPS 2024Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
  41. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
  42. NeurIPS 2024Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
  43. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
  44. NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
  45. NeurIPS 2024Algorithmic progress in language models
  46. NeurIPS 2024Alias-Free Mamba Neural Operator
  47. NeurIPS 2024AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
  48. NeurIPS 2024Amortized Fourier Neural Operators
  49. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
  50. NeurIPS 2024ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

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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