数据集与基准论文趋势 2023–2026
新数据集与评测协议
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,856 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 227 | 162 | 166 | 382 | 937 |
| 2024 | 448 | 216 | 318 | 364 | 1,346 |
| 2025 | 637 | 419 | 189 | 337 | 1,582 |
| 2026 | 623 | 635 | 275 | 458 | 1,991 |
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 5,852 篇，第 57 / 118 页
- ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
- ICML 2025GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
- ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
- ICML 2025Gradient Boosting Reinforcement Learning
- ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
- ICML 2025Heterogeneous Label Shift: Theory and Algorithm
- ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
- ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
- ICML 2025How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
- ICML 2025How to set AdamW's weight decay as you scale model and dataset size
- ICML 2025Identifiable Object Representations under Spatial Ambiguities
- ICML 2025Idiosyncrasies in Large Language Models
- ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
- ICML 2025Impossible Videos
- ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
- ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
- ICML 2025Improving the Effective Receptive Field of Message-Passing Neural Networks
- ICML 2025Independence Tests for Language Models
- ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
- ICML 2025Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
- ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
- ICML 2025It's My Data Too: Private ML for Datasets with Multi-User Training Examples
- ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
- ICML 2025Joint Localization and Activation Editing for Low-Resource Fine-Tuning
- ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
- ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
- ICML 2025KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
- ICML 2025Knowledge Swapping via Learning and Unlearning
- ICML 2025LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
- ICML 2025Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
- ICML 2025Leveraging Offline Data in Linear Latent Contextual Bandits
- ICML 2025Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
- ICML 2025Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
- ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
- ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
- ICML 2025LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
- ICML 2025LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
- ICML 2025Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
- ICML 2025Loss Functions and Operators Generated by f-Divergences
- ICML 2025Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
- ICML 2025Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
- ICML 2025Measuring Diversity in Synthetic Datasets
- ICML 2025Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
- ICML 2025MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
- ICML 2025Mixed-curvature decision trees and random forests
- ICML 2025ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
- ICML 2025Near Optimal Non-asymptotic Sample Complexity of 1-Identification
- ICML 2025NestQuant: nested lattice quantization for matrix products and LLMs
- ICML 2025New Bounds for Sparse Variational Gaussian Processes
- ICML 2025No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查数据集与基准在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dataset-and-benchmarks"}
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。