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 1,935 篇，第 1 / 39 页

1. NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
2. NeurIPS 2026$\mathrm{Bounded\mbox{-}RS}$: A Bounded Evaluation Protocol and Testbed for Representational Systematicity
3. NeurIPS 2026$\varphi$TD: Distributional Reinforcement Learning using Characteristic Functions
4. NeurIPS 20263D Consistency Tokens
5. NeurIPS 2026A Diagnostic Benchmark for Layered Layout and Template-Variant Reasoning
6. NeurIPS 2026A Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
7. NeurIPS 2026A Margin Perspective on LoRA: Robustness to Catastrophic Forgetting and Adapter Merging (MaLoRA)
8. NeurIPS 2026A Method-Class Divide in Sub-4-Bit Quantization:\\Iterative vs.\ Single-Pass Sensitivity to Data Composition
9. NeurIPS 2026A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data
10. NeurIPS 2026A New Framework for Quantum Reinforcement Learning
11. NeurIPS 2026A Simple Class-Agnostic Approach to Enhance Fair Adversarial Training
12. NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
13. NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
14. NeurIPS 2026A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
15. NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
16. NeurIPS 2026A2Eval: Agentic and Automated Evaluation for Embodied Brain
17. NeurIPS 2026Accuracy of Noise Ceiling Estimators for Brain Scores
18. NeurIPS 2026ACDP: Architecture-aware Cross-Dataset Performance Predictor for NAS
19. NeurIPS 2026ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
20. NeurIPS 2026Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses
21. NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
22. NeurIPS 2026Adaptive Random Forests from Online Learning and Testing by Betting
23. NeurIPS 2026Adaptive Target-Charging with Privacy Filters and Individual Accounting
24. NeurIPS 2026Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options
25. NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
26. NeurIPS 2026Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
27. NeurIPS 2026AgentKernelArena: Benchmarking Performance and Generalization of AI Coding Agents on GPU Kernels Optimization
28. NeurIPS 2026Agents' Last Exam
29. NeurIPS 2026AgentSSL: Can MLE Agents Leverage Unlabeled Data?
30. NeurIPS 2026AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning
31. NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
32. NeurIPS 2026AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
33. NeurIPS 2026Aligning Language Model Benchmarks with Pairwise Preferences
34. NeurIPS 2026AlphaPROBE: Alpha Mining via principled retriveval and on-graph biased evolution
35. NeurIPS 2026AMGenC: Generating Charge Balanced Amorphous Materials
36. NeurIPS 2026Amortized Optimal Transport from Sliced Potentials
37. NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
38. NeurIPS 2026An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
39. NeurIPS 2026An Axiomatic Analysis of DPO and NLHF as Reference-Dependent Probabilistic Voting Rules
40. NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
41. NeurIPS 2026An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
42. NeurIPS 2026An Open-Source Training Dataset for Foundation Models for Black-box Optimization
43. NeurIPS 2026Anchored Protein Engineering
44. NeurIPS 2026Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive
45. NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
46. NeurIPS 2026Anymotion: A Dataset, Benchmark, and Baseline for Controllable Human Motion Editing
47. NeurIPS 2026Anytime-Valid Conformal Risk Control
48. NeurIPS 2026AptaBench: A Benchmark for Aptamer-Small Molecule Binding
49. NeurIPS 2026Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
50. NeurIPS 2026Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Rewards

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。