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 948 篇，第 10 / 19 页
- ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
- ICML 2025Understanding Fixed Predictions via Confined Regions
- ICML 2025Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
- ICML 2025Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
- ICML 2025Unlocking Post-hoc Dataset Inference with Synthetic Data
- ICML 2025Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
- ICML 2025Unpaired Point Cloud Completion via Unbalanced Optimal Transport
- ICML 2025Unsupervised Learning for Class Distribution Mismatch
- ICML 2025When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration
- ICML 2025When, Where and Why to Average Weights?
- ICML 2025Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
- ICML 2025WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
- ICML 2025WorldSimBench: Towards Video Generation Models as World Simulators
- ICML 2025ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
- ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
- ICML 2024A Closer Look at the Limitations of Instruction Tuning
- ICML 2024A connection between Tempering and Entropic Mirror Descent
- ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
- ICML 2024A Dynamical Model of Neural Scaling Laws
- ICML 2024A Field Guide for Pacing Budget and ROS Constraints
- ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
- ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
- ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
- ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
- ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
- ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
- ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
- ICML 2024A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
- ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
- ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
- ICML 2024Active Statistical Inference
- ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
- ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
- ICML 2024Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
- ICML 2024Aligning Transformers with Weisfeiler-Leman
- ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
- ICML 2024An Empirical Study of Realized GNN Expressiveness
- ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
- ICML 2024An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
- ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
- ICML 2024Approximate Nearest Neighbor Search with Window Filters
- ICML 2024ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
- ICML 2024Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
- ICML 2024Attribute Based Interpretable Evaluation Metrics for Generative Models
- ICML 2024Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
- ICML 2024Autoformalizing Euclidean Geometry
- ICML 2024Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
- ICML 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
- ICML 2024Bayesian Adaptation of Network Depth and Width for Continual Learning
- ICML 2024Bayesian Regret Minimization in Offline Bandits
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。