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 1,935 篇，第 28 / 39 页
- NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
- NeurIPS 2024Copycats: the many lives of a publicly available medical imaging dataset
- NeurIPS 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
- NeurIPS 2024Credal Deep Ensembles for Uncertainty Quantification
- NeurIPS 2024CriticEval: Evaluating Large-scale Language Model as Critic
- NeurIPS 2024Croissant: A Metadata Format for ML-Ready Datasets
- NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
- NeurIPS 2024CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
- NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
- NeurIPS 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
- NeurIPS 2024DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
- NeurIPS 2024Data curation via joint example selection further accelerates multimodal learning
- NeurIPS 2024Data Distribution Valuation
- NeurIPS 2024Data-Efficient Learning with Neural Programs
- NeurIPS 2024Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
- NeurIPS 2024DataComp-LM: In search of the next generation of training sets for language models
- NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
- NeurIPS 2024Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
- NeurIPS 2024Deep Support Vectors
- NeurIPS 2024DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
- NeurIPS 2024DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
- NeurIPS 2024Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
- NeurIPS 2024Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
- NeurIPS 2024DF40: Toward Next-Generation Deepfake Detection
- NeurIPS 2024DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
- NeurIPS 2024Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
- NeurIPS 2024DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
- NeurIPS 2024Distributed Least Squares in Small Space via Sketching and Bias Reduction
- NeurIPS 2024Distribution-Aware Data Expansion with Diffusion Models
- NeurIPS 2024Divergences between Language Models and Human Brains
- NeurIPS 2024Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
- NeurIPS 2024Do causal predictors generalize better to new domains?
- NeurIPS 2024dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
- NeurIPS 2024DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
- NeurIPS 2024DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
- NeurIPS 2024DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
- NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
- NeurIPS 2024Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
- NeurIPS 2024Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
- NeurIPS 2024Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
- NeurIPS 2024EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning
- NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
- NeurIPS 2024Efficient and Private Marginal Reconstruction with Local Non-Negativity
- NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
- NeurIPS 2024Efficient Policy Evaluation Across Multiple Different Experimental Datasets
- NeurIPS 2024EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
- NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
- NeurIPS 2024Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
- NeurIPS 2024Elucidating the Design Space of Dataset Condensation
- NeurIPS 2024emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
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。