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 275 篇，第 1 / 6 页

1. ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
2. ICML 2026A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
3. ICML 2026A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)
4. ICML 2026A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
5. ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
6. ICML 2026A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
7. ICML 2026A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional Data
8. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
9. ICML 2026Accuracy and Normalized Accuracy under Length Bias: Analysis, Guidelines, and a Bayesian Alternative
10. ICML 2026Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
11. ICML 2026Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
12. ICML 2026ActiveScope: Actively Seeking and Correcting Perception for MLLMs
13. ICML 2026Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
14. ICML 2026AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
15. ICML 2026Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
16. ICML 2026Ambient Dataloops: Generative Models for Dataset Refinement
17. ICML 2026Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
18. ICML 2026An Evidential Route to Asymptotic Bayes Optimality under Sparsity
19. ICML 2026An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
20. ICML 2026Analytic Bijections for Smooth and Interpretable Normalizing Flows
21. ICML 2026Approximation Error Upper and Lower Bounds for Hölder Class with Transformers
22. ICML 2026Arboreal Neural Network
23. ICML 2026Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
24. ICML 2026Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
25. ICML 2026Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
26. ICML 2026Attention Hijacking: Backdooring Text Dataset Distillation via Semantic Anchors
27. ICML 2026AutoBaxBuilder: Bootstrapping Code Security Benchmarking
28. ICML 2026BASIL: Scalable Bayesian Semi-supervised Clustering with Feature Selection and Adaptive Constraint Weighting
29. ICML 2026BEAR: Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
30. ICML 2026BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code
31. ICML 2026Beyond Benchmarks: Toward Causally Faithful Evaluation of Large Language Models
32. ICML 2026Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
33. ICML 2026Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors
34. ICML 2026Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
35. ICML 2026Biased Generalization in Diffusion Models
36. ICML 2026Bits That Count: Quantifying and Predicting Capabilities of Language Models
37. ICML 2026Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
38. ICML 2026Bridging Spherical Black-Box Optimizers
39. ICML 2026Bridging the Gap Between Average and Discounted TD Learning
40. ICML 2026Calibrated Multimodal Representation Learning with Missing Modalities
41. ICML 2026CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
42. ICML 2026Causal Identification from Counterfactual Data: Completeness and Bounding Results
43. ICML 2026Causes and Consequences of Representational Similarity in Machine Learning Models
44. ICML 2026Certifying Graph Neural Networks Against Label and Structure Poisoning
45. ICML 2026CHB: A Diagnostic Toolkit for Hardness-Aware Clustering Evaluation
46. ICML 2026Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
47. ICML 2026Connecting Independently Trained Modes via Layer-Wise Connectivity
48. ICML 2026Convex Dataset Valuation for Post-Training
49. ICML 2026Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
50. ICML 2026Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties

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。