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 2 / 7 页

51. ICML 2024Clustered Federated Learning via Gradient-based Partitioning
52. ICML 2024Codebook Features: Sparse and Discrete Interpretability for Neural Networks
53. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
54. ICML 2024Combining Experimental and Historical Data for Policy Evaluation
55. ICML 2024Complexity Matters: Feature Learning in the Presence of Spurious Correlations
56. ICML 2024Compressing Large Language Models by Joint Sparsification and Quantization
57. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
58. ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
59. ICML 2024Conformal Predictions under Markovian Data
60. ICML 2024Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
61. ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
62. ICML 2024Contextual Feature Selection with Conditional Stochastic Gates
63. ICML 2024Controlled Decoding from Language Models
64. ICML 2024Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
65. ICML 2024Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
66. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
67. ICML 2024Cooperative Graph Neural Networks
68. ICML 2024CurBench: Curriculum Learning Benchmark
69. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
70. ICML 2024Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
71. ICML 2024Deep Networks Always Grok and Here is Why
72. ICML 2024Deep Neural Room Acoustics Primitive
73. ICML 2024Defining Neural Network Architecture through Polytope Structures of Datasets
74. ICML 2024Deletion-Anticipative Data Selection with a Limited Budget
75. ICML 2024Differentiable Combinatorial Scheduling at Scale
76. ICML 2024Differentiable Weightless Neural Networks
77. ICML 2024Differentially Private Decentralized Learning with Random Walks
78. ICML 2024Differentially Private Worst-group Risk Minimization
79. ICML 2024DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
80. ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
81. ICML 2024Directly Denoising Diffusion Models
82. ICML 2024Discovering Environments with XRM
83. ICML 2024Discovering Features with Synergistic Interactions in Multiple Views
84. ICML 2024Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
85. ICML 2024Distributional Bellman Operators over Mean Embeddings
86. ICML 2024Distributionally Robust Data Valuation
87. ICML 2024Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
88. ICML 2024Does Label Smoothing Help Deep Partial Label Learning?
89. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
90. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
91. ICML 2024DsDm: Model-Aware Dataset Selection with Datamodels
92. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
93. ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
94. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
95. ICML 2024Dynamic Survival Analysis with Controlled Latent States
96. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
97. ICML 2024Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
98. ICML 2024Enhancing Sufficient Dimension Reduction via Hellinger Correlation
99. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
100. ICML 2024Evaluating and Analyzing Relationship Hallucinations in Large Vision-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。