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 166 篇，第 1 / 4 页

1. ICML 2023A Flexible Diffusion Model
2. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
3. ICML 2023A New PHO-rmula for Improved Performance of Semi-Structured Networks
4. ICML 2023A Picture of the Space of Typical Learnable Tasks
5. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
6. ICML 2023A Study on Transformer Configuration and Training Objective
7. ICML 2023Achieving Linear Speedup in Non-IID Federated Bilevel Learning
8. ICML 2023Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
9. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
10. ICML 2023Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
11. ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
12. ICML 2023Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
13. ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
14. ICML 2023Atari-5: Distilling the Arcade Learning Environment down to Five Games
15. ICML 2023Automatic Data Augmentation via Invariance-Constrained Learning
16. ICML 2023Auxiliary Learning as an Asymmetric Bargaining Game
17. ICML 2023Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
18. ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
19. ICML 2023Bootstrap in High Dimension with Low Computation
20. ICML 2023Can Neural Network Memorization Be Localized?
21. ICML 2023Change is Hard: A Closer Look at Subpopulation Shift
22. ICML 2023Cluster Explanation via Polyhedral Descriptions
23. ICML 2023ClusterFuG: Clustering Fully connected Graphs by Multicut
24. ICML 2023Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
25. ICML 2023Consistency of Multiple Kernel Clustering
26. ICML 2023Contextual Combinatorial Bandits with Probabilistically Triggered Arms
27. ICML 2023Contextual Reliability: When Different Features Matter in Different Contexts
28. ICML 2023Cross-Modal Fine-Tuning: Align then Refine
29. ICML 2023CrossSplit: Mitigating Label Noise Memorization through Data Splitting
30. ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
31. ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
32. ICML 2023Dataset Distillation with Convexified Implicit Gradients
33. ICML 2023Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
34. ICML 2023Decoding Layer Saliency in Language Transformers
35. ICML 2023Dink-Net: Neural Clustering on Large Graphs
36. ICML 2023Directed Chain Generative Adversarial Networks
37. ICML 2023Discrete Key-Value Bottleneck
38. ICML 2023Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
39. ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
40. ICML 2023Emergence of Sparse Representations from Noise
41. ICML 2023Estimating Joint Treatment Effects by Combining Multiple Experiments
42. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
43. ICML 2023Explainability as statistical inference
44. ICML 2023Exploring the Benefits of Training Expert Language Models over Instruction Tuning
45. ICML 2023Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
46. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
47. ICML 2023Fair and Optimal Classification via Post-Processing
48. ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
49. ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
50. ICML 2023Finding Generalization Measures by Contrasting Signal and Noise

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。