数据集与基准论文趋势 2023–2026

主要结论

• 数据集与基准论文从 2023 年的 937 篇增长到 2026 年的 1,991 篇，三年间扩大到约 2.1 倍。
• NeurIPS 是发数据集与基准论文最多的会议，2023–2026 年共 1,935 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 194 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的硬件协同是 4.4 倍，数据集与基准是 2.1 倍。

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

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

全部数据集与基准论文

共 448 篇，第 1 / 9 页

1. NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
2. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
3. NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
4. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
5. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
6. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
7. NeurIPS 2024A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
8. NeurIPS 2024A Functional Extension of Semi-Structured Networks
9. NeurIPS 2024A Generative Model of Symmetry Transformations
10. NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
11. NeurIPS 2024A probability contrastive learning framework for 3D molecular representation learning
12. NeurIPS 2024A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
13. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
14. NeurIPS 2024A Systematic Review of NeurIPS Dataset Management Practices
15. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
16. NeurIPS 2024A Tractable Inference Perspective of Offline RL
17. NeurIPS 2024Accuracy is Not All You Need
18. NeurIPS 2024Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
19. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
20. NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
21. NeurIPS 2024Active preference learning for ordering items in- and out-of-sample
22. NeurIPS 2024ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
23. NeurIPS 2024Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
24. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
25. NeurIPS 2024Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
26. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
27. NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
28. NeurIPS 2024Algorithmic progress in language models
29. NeurIPS 2024Alias-Free Mamba Neural Operator
30. NeurIPS 2024AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
31. NeurIPS 2024Amortized Fourier Neural Operators
32. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
33. NeurIPS 2024ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
34. NeurIPS 2024Analysing the Generalisation and Reliability of Steering Vectors
35. NeurIPS 2024APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments
36. NeurIPS 2024APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
37. NeurIPS 2024Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
38. NeurIPS 2024Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
39. NeurIPS 2024Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
40. NeurIPS 2024Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
41. NeurIPS 2024Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
42. NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
43. NeurIPS 2024Assemblage: Automatic Binary Dataset Construction for Machine Learning
44. NeurIPS 2024Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
45. NeurIPS 2024Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
46. NeurIPS 2024B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
47. NeurIPS 2024Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
48. NeurIPS 2024BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
49. NeurIPS 2024BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
50. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking

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。