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 318 篇，第 1 / 7 页

1. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
2. ICML 2024A Closer Look at the Limitations of Instruction Tuning
3. ICML 2024A connection between Tempering and Entropic Mirror Descent
4. ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
5. ICML 2024A Dynamical Model of Neural Scaling Laws
6. ICML 2024A Field Guide for Pacing Budget and ROS Constraints
7. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
8. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
9. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
10. ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
11. ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
12. ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
13. ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
14. ICML 2024A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
15. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
16. ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
17. ICML 2024Active Statistical Inference
18. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
19. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
20. ICML 2024Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
21. ICML 2024Aligning Transformers with Weisfeiler-Leman
22. ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
23. ICML 2024An Empirical Study of Realized GNN Expressiveness
24. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
25. ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
26. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
27. ICML 2024Approximate Nearest Neighbor Search with Window Filters
28. ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
29. ICML 2024Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
30. ICML 2024Attribute Based Interpretable Evaluation Metrics for Generative Models
31. ICML 2024Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
32. ICML 2024Autoformalizing Euclidean Geometry
33. ICML 2024Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
34. ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
35. ICML 2024Bayesian Adaptation of Network Depth and Width for Continual Learning
36. ICML 2024Bayesian Regret Minimization in Offline Bandits
37. ICML 2024Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
38. ICML 2024Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
39. ICML 2024Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
40. ICML 2024Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
41. ICML 2024Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
42. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
43. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
44. ICML 2024CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
45. ICML 2024Causality Based Front-door Defense Against Backdoor Attack on Language Models
46. ICML 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
47. ICML 2024Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
48. ICML 2024Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
49. ICML 2024CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
50. ICML 2024CLLMs: Consistency Large Language Models

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。