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 216 篇，第 2 / 5 页

51. ICLR 2024Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
52. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
53. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
54. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
55. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
56. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
57. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
58. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
59. ICLR 2024Effective pruning of web-scale datasets based on complexity of concept clusters
60. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
61. ICLR 2024Efficiently Computing Similarities to Private Datasets
62. ICLR 2024Embarrassingly Simple Dataset Distillation
63. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
64. ICLR 2024Energy-based Automated Model Evaluation
65. ICLR 2024Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
66. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
67. ICLR 2024Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
68. ICLR 2024EQA-MX: Embodied Question Answering using Multimodal Expression
69. ICLR 2024Evaluating Language Model Agency Through Negotiations
70. ICLR 2024Evaluating Large Language Models at Evaluating Instruction Following
71. ICLR 2024EX-Graph: A Pioneering Dataset Bridging Ethereum and X
72. ICLR 2024Explaining Time Series via Contrastive and Locally Sparse Perturbations
73. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
74. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
75. ICLR 2024FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
76. ICLR 2024Ferret: Refer and Ground Anything Anywhere at Any Granularity
77. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
78. ICLR 2024FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
79. ICLR 2024FOSI: Hybrid First and Second Order Optimization
80. ICLR 2024Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
81. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
82. ICLR 2024GAIA: a benchmark for General AI Assistants
83. ICLR 2024Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
84. ICLR 2024GIO: Gradient Information Optimization for Training Dataset Selection
85. ICLR 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
86. ICLR 2024GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
87. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
88. ICLR 2024HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
89. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
90. ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
91. ICLR 2024Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
92. ICLR 2024Hypergraph Dynamic System
93. ICLR 2024I-PHYRE: Interactive Physical Reasoning
94. ICLR 2024Idempotence and Perceptual Image Compression
95. ICLR 2024ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
96. ICLR 2024ImagenHub: Standardizing the evaluation of conditional image generation models
97. ICLR 2024Improved algorithm and bounds for successive projection
98. ICLR 2024Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
99. ICLR 2024Improving Offline RL by Blending Heuristics
100. ICLR 2024Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion 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。