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 189 篇，第 2 / 4 页

51. ICML 2025Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
52. ICML 2025Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
53. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
54. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
55. ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
56. ICML 2025Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
57. ICML 2025From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
58. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
59. ICML 2025GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
60. ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
61. ICML 2025Gradient Boosting Reinforcement Learning
62. ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
63. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
64. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
65. ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
66. ICML 2025How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
67. ICML 2025How to set AdamW's weight decay as you scale model and dataset size
68. ICML 2025Identifiable Object Representations under Spatial Ambiguities
69. ICML 2025Idiosyncrasies in Large Language Models
70. ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
71. ICML 2025Impossible Videos
72. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
73. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
74. ICML 2025Improving the Effective Receptive Field of Message-Passing Neural Networks
75. ICML 2025Independence Tests for Language Models
76. ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
77. ICML 2025Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
78. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
79. ICML 2025It's My Data Too: Private ML for Datasets with Multi-User Training Examples
80. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
81. ICML 2025Joint Localization and Activation Editing for Low-Resource Fine-Tuning
82. ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
83. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
84. ICML 2025KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
85. ICML 2025Knowledge Swapping via Learning and Unlearning
86. ICML 2025LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
87. ICML 2025Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
88. ICML 2025Leveraging Offline Data in Linear Latent Contextual Bandits
89. ICML 2025Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
90. ICML 2025Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
91. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
92. ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
93. ICML 2025LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
94. ICML 2025LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
95. ICML 2025Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
96. ICML 2025Loss Functions and Operators Generated by f-Divergences
97. ICML 2025Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
98. ICML 2025Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
99. ICML 2025Measuring Diversity in Synthetic Datasets
100. ICML 2025Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective

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。