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 637 篇,第 4 / 13 页
- NeurIPS 2025DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
- NeurIPS 2025Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
- NeurIPS 2025Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
- NeurIPS 2025Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
- NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
- NeurIPS 2025DQVis Dataset: Natural Language to Biomedical Visualization
- NeurIPS 2025DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
- NeurIPS 2025DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
- NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
- NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
- NeurIPS 2025DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
- NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
- NeurIPS 2025EDBench: Large-Scale Electron Density Data for Molecular Modeling
- NeurIPS 2025EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
- NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
- NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
- NeurIPS 2025EgoBlind: Towards Egocentric Visual Assistance for the Blind
- NeurIPS 2025EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
- NeurIPS 2025EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
- NeurIPS 2025EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Videos Generation
- NeurIPS 2025Embodied Crowd Counting
- NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
- NeurIPS 2025EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge
- NeurIPS 2025EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
- NeurIPS 2025Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
- NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
- NeurIPS 2025EngiBench: A Framework for Data-Driven Engineering Design Research
- NeurIPS 2025Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
- NeurIPS 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
- NeurIPS 2025Entropy-Calibrated Label Distribution Learning
- NeurIPS 2025Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
- NeurIPS 2025EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
- NeurIPS 2025EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
- NeurIPS 2025EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
- NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
- NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
- NeurIPS 2025Establishing Best Practices in Building Rigorous Agentic Benchmarks
- NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
- NeurIPS 2025EuroSpeech: A Multilingual Speech Corpus
- NeurIPS 2025EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
- NeurIPS 2025Evaluating multiple models using labeled and unlabeled data
- NeurIPS 2025Evaluating Program Semantics Reasoning with Type Inference in System $F$
- NeurIPS 2025Event-based HDR Structured Light
- NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
- NeurIPS 2025ExAct: A Video-Language Benchmark for Expert Action Analysis
- NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
- NeurIPS 2025Exploiting Dynamic Sparsity in Einsum
- NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
- NeurIPS 2025Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
- NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
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。