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 3 / 4 页

101. ICML 2025MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
102. ICML 2025Mixed-curvature decision trees and random forests
103. ICML 2025ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
104. ICML 2025Near Optimal Non-asymptotic Sample Complexity of 1-Identification
105. ICML 2025NestQuant: nested lattice quantization for matrix products and LLMs
106. ICML 2025New Bounds for Sparse Variational Gaussian Processes
107. ICML 2025No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
108. ICML 2025NoLiMa: Long-Context Evaluation Beyond Literal Matching
109. ICML 2025Objective drives the consistency of representational similarity across datasets
110. ICML 2025On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
111. ICML 2025On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
112. ICML 2025OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
113. ICML 2025Optimal and Practical Batched Linear Bandit Algorithm
114. ICML 2025Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
115. ICML 2025PaperBench: Evaluating AI’s Ability to Replicate AI Research
116. ICML 2025PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction
117. ICML 2025Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
118. ICML 2025PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
119. ICML 2025PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
120. ICML 2025Point Cloud Dataset Distillation
121. ICML 2025Position: AI Evaluation Should Learn from How We Test Humans
122. ICML 2025Position: AI Should Not Be An Imitation Game: Centaur Evaluations
123. ICML 2025Position: All Current Generative Fidelity and Diversity Metrics are Flawed
124. ICML 2025Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
125. ICML 2025Position: Graph Matching Systems Deserve Better Benchmarks
126. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
127. ICML 2025Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
128. ICML 2025Position: Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
129. ICML 2025Position: Stop treating `AGI' as the north-star goal of AI research
130. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
131. ICML 2025Position: Theory of Mind Benchmarks are Broken for Large Language Models
132. ICML 2025Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
133. ICML 2025Positive-unlabeled AUC Maximization under Covariate Shift
134. ICML 2025Potemkin Understanding in Large Language Models
135. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
136. ICML 2025Predictive Data Selection: The Data That Predicts Is the Data That Teaches
137. ICML 2025Prompt-based Depth Pruning of Large Language Models
138. ICML 2025Protein Structure Tokenization: Benchmarking and New Recipe
139. ICML 2025QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline
140. ICML 2025RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
141. ICML 2025Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning
142. ICML 2025Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
143. ICML 2025Reliable and Efficient Amortized Model-based Evaluation
144. ICML 2025Rényi Neural Processes
145. ICML 2025Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
146. ICML 2025Robust ML Auditing using Prior Knowledge
147. ICML 2025Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization
148. ICML 2025ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
149. ICML 2025Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
150. ICML 2025Sanity Checking Causal Representation Learning on a Simple Real-World System

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。