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 1,582 篇,第 10 / 32 页
- ICLR 2025ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
- ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
- ICLR 2025Equivariant Neural Functional Networks for Transformers
- ICLR 2025EvA: Erasing Spurious Correlations with Activations
- ICLR 2025Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
- ICLR 2025Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
- ICLR 2025Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
- ICLR 2025Expected Sliced Transport Plans
- ICLR 2025Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
- ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
- ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
- ICLR 2025Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
- ICLR 2025Fair Clustering in the Sliding Window Model
- ICLR 2025FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
- ICLR 2025FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
- ICLR 2025Fantastic Copyrighted Beasts and How (Not) to Generate Them
- ICLR 2025Fast Summation of Radial Kernels via QMC Slicing
- ICLR 2025Fast training and sampling of Restricted Boltzmann Machines
- ICLR 2025Faster Algorithms for Structured Linear and Kernel Support Vector Machines
- ICLR 2025Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
- ICLR 2025Feedback Schrödinger Bridge Matching
- ICLR 2025Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
- ICLR 2025Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
- ICLR 2025Find A Winning Sign: Sign Is All We Need to Win the Lottery
- ICLR 2025ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
- ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
- ICLR 2025From Tokens to Lattices: Emergent Lattice Structures in Language Models
- ICLR 2025Fully-inductive Node Classification on Arbitrary Graphs
- ICLR 2025GameArena: Evaluating LLM Reasoning through Live Computer Games
- ICLR 2025GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
- ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
- ICLR 2025Generalizing Weisfeiler-Lehman Kernels to Subgraphs
- ICLR 2025GenXD: Generating Any 3D and 4D Scenes
- ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
- ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
- ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
- ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
- ICLR 2025GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
- ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
- ICLR 2025Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
- ICLR 2025Graph-based Document Structure Analysis
- ICLR 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
- ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
- ICLR 2025Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
- ICLR 2025Group Distributionally Robust Dataset Distillation with Risk Minimization
- ICLR 2025GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
- ICLR 2025GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
- ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
- ICLR 2025HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics
- ICLR 2025Harnessing Webpage UIs for Text-Rich Visual Understanding
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。