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 189 篇,第 1 / 4 页
- ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
- ICML 2025A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
- ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
- ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
- ICML 2025Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
- ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
- ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
- ICML 2025Adversarial Robustness via Deformable Convolution with Stochasticity
- ICML 2025AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
- ICML 2025Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
- ICML 2025Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
- ICML 2025Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
- ICML 2025Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
- ICML 2025Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
- ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
- ICML 2025Average Sensitivity of Hierarchical $k$-Median Clustering
- ICML 2025Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
- ICML 2025Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
- ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
- ICML 2025Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
- ICML 2025Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
- ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
- ICML 2025Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
- ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
- ICML 2025Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
- ICML 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
- ICML 2025Clustering Properties of Self-Supervised Learning
- ICML 2025CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
- ICML 2025Communicating Activations Between Language Model Agents
- ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
- ICML 2025Concentration Distribution Learning from Label Distributions
- ICML 2025Concept Reachability in Diffusion Models: Beyond Dataset Constraints
- ICML 2025Conservative Offline Goal-Conditioned Implicit V-Learning
- ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
- ICML 2025CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
- ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
- ICML 2025CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
- ICML 2025CTBench: A Library and Benchmark for Certified Training
- ICML 2025DataDecide: How to Predict Best Pretraining Data with Small Experiments
- ICML 2025Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
- ICML 2025Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
- ICML 2025Diverging Preferences: When do Annotators Disagree and do Models Know?
- ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
- ICML 2025Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
- ICML 2025Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
- ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
- ICML 2025EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
- ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
- ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
- ICML 2025Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
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。