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 382 篇,第 1 / 8 页
- CVPR 2023"Seeing" Electric Network Frequency From Events
- CVPR 20233D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture
- CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
- CVPR 2023A Data-Based Perspective on Transfer Learning
- CVPR 2023A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images
- CVPR 2023A Large-Scale Homography Benchmark
- CVPR 2023A Meta-Learning Approach to Predicting Performance and Data Requirements
- CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
- CVPR 2023A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
- CVPR 2023A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories
- CVPR 2023A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning
- CVPR 2023A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
- CVPR 2023A Soma Segmentation Benchmark in Full Adult Fly Brain
- CVPR 2023A Unified HDR Imaging Method With Pixel and Patch Level
- CVPR 2023A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
- CVPR 2023A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
- CVPR 2023Accelerating Dataset Distillation via Model Augmentation
- CVPR 2023Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
- CVPR 2023Adversarial Normalization: I Can Visualize Everything (ICE)
- CVPR 2023Adversarial Robustness via Random Projection Filters
- CVPR 2023Align and Attend: Multimodal Summarization With Dual Contrastive Losses
- CVPR 2023AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
- CVPR 2023All-in-Focus Imaging From Event Focal Stack
- CVPR 2023An Image Quality Assessment Dataset for Portraits
- CVPR 2023An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions
- CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
- CVPR 2023Architectural Backdoors in Neural Networks
- CVPR 2023Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
- CVPR 2023ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
- CVPR 2023Are Deep Neural Networks SMARTer Than Second Graders?
- CVPR 2023ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
- CVPR 2023Automatic High Resolution Wire Segmentation and Removal
- CVPR 2023Backdoor Defense via Adaptively Splitting Poisoned Dataset
- CVPR 2023Backdoor Defense via Deconfounded Representation Learning
- CVPR 2023BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation
- CVPR 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
- CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
- CVPR 2023Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data
- CVPR 2023Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
- CVPR 2023BiasBed - Rigorous Texture Bias Evaluation
- CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
- CVPR 2023Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
- CVPR 2023Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
- CVPR 2023Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
- CVPR 2023BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
- CVPR 2023Camouflaged Instance Segmentation via Explicit De-Camouflaging
- CVPR 2023CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss
- CVPR 2023CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
- CVPR 2023CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
- CVPR 2023CelebV-Text: A Large-Scale Facial Text-Video Dataset
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。