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 948 篇，第 3 / 19 页

101. ICML 2026Focus and Dilution: The Multi-stage Learning Process of Attention
102. ICML 2026Forgetting Whenever You Want: A Decentralized Continual Learning Framework with On-Demand Unlearning
103. ICML 2026Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
104. ICML 2026From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide ML Interatomic Potential Architectures
105. ICML 2026From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
106. ICML 2026FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents
107. ICML 2026Full-Spectrum Graph Neural Networks: Expressive and Scalable
108. ICML 2026GENEB: Why Genomic Models Are Hard to Compare
109. ICML 2026Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
110. ICML 2026GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
111. ICML 2026Geometric Conformal Prediction with Spatial Ranks and Multivariate Quantiles
112. ICML 2026Geometry-Aware Dataset Condensation for Diffusion Model Training
113. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
114. ICML 2026GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
115. ICML 2026Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
116. ICML 2026Graph Neural Dynamics via Learned Energy and Tangential Flows
117. ICML 2026Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
118. ICML 2026Hedging on the Frontier: Learning New Tasks with Few Samples
119. ICML 2026HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
120. ICML 2026HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling
121. ICML 2026How Can Mamba Learn In Context with Outliers and Generalize Provably?
122. ICML 2026How much can language models memorize?
123. ICML 2026How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
124. ICML 2026How to Correctly Report LLM-as-a-Judge Evaluations
125. ICML 2026How to Price Data: A Market Equilibrium Based Approach
126. ICML 2026Hyperbolic Multimodal Continual Learning
127. ICML 2026IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
128. ICML 2026IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
129. ICML 2026Improved Bounds for Reward-Agnostic and Reward-Free Exploration
130. ICML 2026Influence-Disentangled Federated Training: Learning Models That Are Easy to Unlearn
131. ICML 2026InfraRL: A Benchmark for Constrained Resource Allocation in Large-Scale Infrastructure Asset Management
132. ICML 2026Instance-Level Costs for Nuanced Classifier Evaluation
133. ICML 2026Integrated Episodic and Semantic Memory via Modulating Transformer FeedForward Layers
134. ICML 2026Interpretable Self-Supervised Learning via Representer Landmarks and Nyström Approximation
135. ICML 2026Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks
136. ICML 2026Is Graph Mixup Beneficial? Investigating Interpolation And Empirical Performance of Graph Mixup Methods
137. ICML 2026It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
138. ICML 2026L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
139. ICML 2026LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
140. ICML 2026Learning Dynamic Stability Landscapes in Synchronization Networks
141. ICML 2026Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
142. ICML 2026Learning Junta Distributions, Quantum Junta States, and QAC$^0$ Circuits
143. ICML 2026Learning Partial Concept Classes and Universal Rates Under Massart Noise
144. ICML 2026Learning Permutation Distributions via Reflected Diffusion on Ranks
145. ICML 2026Learning syntax without semantics: Disentangled tiny language models
146. ICML 2026Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
147. ICML 2026Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
148. ICML 2026LiveNewsBench: Evaluating Web Search Agents with Freshly Curated News
149. ICML 2026LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
150. ICML 2026Magnitude Distance: A Geometric Measure of Dataset Similarity

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。