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 162 篇，第 1 / 4 页

1. ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
2. ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
3. ICLR 2023A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
4. ICLR 2023A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
5. ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
6. ICLR 2023A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
7. ICLR 2023A law of adversarial risk, interpolation, and label noise
8. ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
9. ICLR 2023A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
10. ICLR 2023A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
11. ICLR 2023A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
12. ICLR 2023A Theory of Dynamic Benchmarks
13. ICLR 2023ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
14. ICLR 2023Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
15. ICLR 2023Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
16. ICLR 2023Avoiding spurious correlations via logit correction
17. ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
18. ICLR 2023Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
19. ICLR 2023Bayesian Oracle for bounding information gain in neural encoding models
20. ICLR 2023BC-IRL: Learning Generalizable Reward Functions from Demonstrations
21. ICLR 2023BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
22. ICLR 2023Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
23. ICLR 2023Bridge the Inference Gaps of Neural Processes via Expectation Maximization
24. ICLR 2023Calibrating the Rigged Lottery: Making All Tickets Reliable
25. ICLR 2023Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
26. ICLR 2023CktGNN: Circuit Graph Neural Network for Electronic Design Automation
27. ICLR 2023Compressing multidimensional weather and climate data into neural networks
28. ICLR 2023Continual evaluation for lifelong learning: Identifying the stability gap
29. ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
30. ICLR 2023Coverage-centric Coreset Selection for High Pruning Rates
31. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
32. ICLR 2023Dataset Pruning: Reducing Training Data by Examining Generalization Influence
33. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
34. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
35. ICLR 2023Decision Transformer under Random Frame Dropping
36. ICLR 2023DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
37. ICLR 2023Deterministic training of generative autoencoders using invertible layers
38. ICLR 2023DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
39. ICLR 2023DFPC: Data flow driven pruning of coupled channels without data.
40. ICLR 2023Disentanglement of Correlated Factors via Hausdorff Factorized Support
41. ICLR 2023Disentangling the Mechanisms Behind Implicit Regularization in SGD
42. ICLR 2023Distilling Model Failures as Directions in Latent Space
43. ICLR 2023Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
44. ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
45. ICLR 2023Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
46. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
47. ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
48. ICLR 2023ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
49. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
50. ICLR 2023Evaluating Long-Term Memory in 3D Mazes

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。