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 1,987 篇,第 30 / 40 页
- NeurIPS 2026Breakeven complexity: A new perspective on neural partial differential equation solvers
- NeurIPS 2026Breaking the Second Barrier: Sub-Second Timestamped Omni-Modal Captioning
- NeurIPS 2026Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
- NeurIPS 2026Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
- NeurIPS 2026BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
- NeurIPS 2026C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
- NeurIPS 2026Can Folding Models Tell Binders from Bluffers? Evidence from POISK: The Patent-Derived Antibody Dataset
- NeurIPS 2026Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
- NeurIPS 2026Can We Trust Item Response Theory for AI Evaluation?
- NeurIPS 2026Causal Benchmarks for Multimodal AI Should Measure Categorical Difference, Not Capability Gap
- NeurIPS 2026Causal pieces: analysing and improving spiking neural networks piece by piece
- NeurIPS 2026CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes
- NeurIPS 2026Certification-Enhanced Generalization Bounds
- NeurIPS 2026CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting
- NeurIPS 2026Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
- NeurIPS 2026ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
- NeurIPS 2026Class Adaptive Conformal Training
- NeurIPS 2026Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
- NeurIPS 2026COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
- NeurIPS 2026CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
- NeurIPS 2026CoLa3D: Composable Latent 3D Decomposition
- NeurIPS 2026Combating Camouflage and Forgetting: Spatio-Temporal Dual Denoising for Money Laundering Detection
- NeurIPS 2026Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
- NeurIPS 2026CompleteRXN: Toward Completing Open Chemical Reaction Databases
- NeurIPS 2026COMPOSE: Composing Future Theorems from Citations and Formal Structure
- NeurIPS 2026Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
- NeurIPS 2026Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
- NeurIPS 2026Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
- NeurIPS 2026ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
- NeurIPS 2026Controllable and Content Based Recommendations
- NeurIPS 2026Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
- NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
- NeurIPS 2026CoRDS: Coreset-Based Representative and Diverse Selection for Streaming Video Understanding
- NeurIPS 2026Counterfactual Maps: What They Are and How to Find Them
- NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
- NeurIPS 2026CounterStrike-1K: A Multi-Perspective Dataset of Professional Gameplay for World Modeling
- NeurIPS 2026CREF: Forecasting Benchmarks for the Age of Agents
- NeurIPS 2026Cross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Derived Constrained Decoding for MLIR
- NeurIPS 2026Cross-Domain Knowledge Separation and Positive Transmission for Noisy Domain Incremental Learning
- NeurIPS 2026Crossing the Validation crisis: Cross-validation reduces benchmarking variance surprisingly well
- NeurIPS 2026CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building
- NeurIPS 2026CSI-TextBench: A Dataset and Benchmark for Language-Grounded Ambient Sensing Perception
- NeurIPS 2026CT-Lesion: A Multi-Region CT Dataset for Co-existing Lesion Segmentation and Detection
- NeurIPS 2026CyberDualEval: Measuring Dual-Use Cyber Risks in Frontier Language Models
- NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
- NeurIPS 2026Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
- NeurIPS 2026DataComp-VLM: Improved open datasets for Vision-Language Models
- NeurIPS 2026DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
- NeurIPS 2026Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets
- NeurIPS 2026Dataset Distillation via Drifting
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。