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 937 篇，第 2 / 19 页

51. CVPR 2023CFA: Class-Wise Calibrated Fair Adversarial Training
52. CVPR 2023CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning
53. CVPR 2023CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions
54. CVPR 2023CIRCLE: Capture in Rich Contextual Environments
55. CVPR 2023Class Adaptive Network Calibration
56. CVPR 2023Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
57. CVPR 2023Class-Balancing Diffusion Models
58. CVPR 2023CLOTH4D: A Dataset for Clothed Human Reconstruction
59. CVPR 2023CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset
60. CVPR 2023Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
61. CVPR 2023CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
62. CVPR 2023Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
63. CVPR 2023Computationally Budgeted Continual Learning: What Does Matter?
64. CVPR 2023Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
65. CVPR 2023Connecting Vision and Language With Video Localized Narratives
66. CVPR 2023Continuous Sign Language Recognition With Correlation Network
67. CVPR 2023ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders
68. CVPR 2023Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
69. CVPR 2023CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
70. CVPR 2023CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
71. CVPR 2023Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
72. CVPR 2023CUDA: Convolution-Based Unlearnable Datasets
73. CVPR 2023CUF: Continuous Upsampling Filters
74. CVPR 2023DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
75. CVPR 2023DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
76. CVPR 2023DC2: Dual-Camera Defocus Control by Learning To Refocus
77. CVPR 2023DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking
78. CVPR 2023Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
79. CVPR 2023Decoupling Human and Camera Motion From Videos in the Wild
80. CVPR 2023Decoupling-and-Aggregating for Image Exposure Correction
81. CVPR 2023Deep Deterministic Uncertainty: A New Simple Baseline
82. CVPR 2023Deep Factorized Metric Learning
83. CVPR 2023Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
84. CVPR 2023Deep Hashing With Minimal-Distance-Separated Hash Centers
85. CVPR 2023Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment
86. CVPR 2023DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients
87. CVPR 2023DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
88. CVPR 2023Delivering Arbitrary-Modal Semantic Segmentation
89. CVPR 2023Detecting and Grounding Multi-Modal Media Manipulation
90. CVPR 2023Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
91. CVPR 2023Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns
92. CVPR 2023DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
93. CVPR 2023Differentiable Architecture Search With Random Features
94. CVPR 2023DiffPose: Toward More Reliable 3D Pose Estimation
95. CVPR 2023Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
96. CVPR 2023DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models
97. CVPR 2023Directional Connectivity-Based Segmentation of Medical Images
98. CVPR 2023DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
99. CVPR 2023Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
100. CVPR 2023DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

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。