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 1,346 篇，第 8 / 27 页
- CVPR 2024Ungeneralizable Examples
- CVPR 2024UniDepth: Universal Monocular Metric Depth Estimation
- CVPR 2024Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis
- CVPR 2024Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
- CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
- CVPR 2024UniVS: Unified and Universal Video Segmentation with Prompts as Queries
- CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
- CVPR 2024Utility-Fairness Trade-Offs and How to Find Them
- CVPR 2024VAREN: Very Accurate and Realistic Equine Network
- CVPR 2024Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
- CVPR 2024View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
- CVPR 2024VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning
- CVPR 2024What How and When Should Object Detectors Update in Continually Changing Test Domains?
- CVPR 2024When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach
- ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
- ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
- ICLR 2024$\pi$2vec: Policy Representation with Successor Features
- ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
- ICLR 2024A Benchmark for Learning to Translate a New Language from One Grammar Book
- ICLR 2024A Benchmark Study on Calibration
- ICLR 2024A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
- ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
- ICLR 2024A Unified and General Framework for Continual Learning
- ICLR 2024Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
- ICLR 2024Achieving Human Parity in Content-Grounded Datasets Generation
- ICLR 2024ADOPD: A Large-Scale Document Page Decomposition Dataset
- ICLR 2024AgentBench: Evaluating LLMs as Agents
- ICLR 2024Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
- ICLR 2024An Extensible Framework for Open Heterogeneous Collaborative Perception
- ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
- ICLR 2024Are Models Biased on Text without Gender-related Language?
- ICLR 2024Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
- ICLR 2024Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
- ICLR 2024Behaviour Distillation
- ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
- ICLR 2024BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
- ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
- ICLR 2024Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
- ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
- ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
- ICLR 2024Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
- ICLR 2024Can Transformers Capture Spatial Relations between Objects?
- ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
- ICLR 2024CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
- ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
- ICLR 2024Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
- ICLR 2024CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
- ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
- ICLR 2024Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
- ICLR 2024COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
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。