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

每年论文数

各会议论文数

按年份和会议统计

数据集与基准论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

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

全部数据集与基准论文

共 1,935 篇,第 36 / 39 页

  1. NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
  2. NeurIPS 2023Credal Marginal MAP
  3. NeurIPS 2023CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
  4. NeurIPS 2023CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
  5. NeurIPS 2023CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
  6. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  7. NeurIPS 2023Data-Driven Network Neuroscience: On Data Collection and Benchmark
  8. NeurIPS 2023DataComp: In search of the next generation of multimodal datasets
  9. NeurIPS 2023DataPerf: Benchmarks for Data-Centric AI Development
  10. NeurIPS 2023Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
  11. NeurIPS 2023Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory
  12. NeurIPS 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
  13. NeurIPS 2023DICES Dataset: Diversity in Conversational AI Evaluation for Safety
  14. NeurIPS 2023Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
  15. NeurIPS 2023Diverse Community Data for Benchmarking Data Privacy Algorithms
  16. NeurIPS 2023Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
  17. NeurIPS 2023Domain Agnostic Fourier Neural Operators
  18. NeurIPS 2023Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
  19. NeurIPS 2023Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
  20. NeurIPS 2023Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
  21. NeurIPS 2023Dream the Impossible: Outlier Imagination with Diffusion Models
  22. NeurIPS 2023DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
  23. NeurIPS 2023ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
  24. NeurIPS 2023Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
  25. NeurIPS 2023Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
  26. NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
  27. NeurIPS 2023EPIC Fields: Marrying 3D Geometry and Video Understanding
  28. NeurIPS 2023Estimating Generic 3D Room Structures from 2D Annotations
  29. NeurIPS 2023EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
  30. NeurIPS 2023Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
  31. NeurIPS 2023Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
  32. NeurIPS 2023Expanding Small-Scale Datasets with Guided Imagination
  33. NeurIPS 2023Fast and Simple Spectral Clustering in Theory and Practice
  34. NeurIPS 2023FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
  35. NeurIPS 2023FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
  36. NeurIPS 2023FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
  37. NeurIPS 2023Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
  38. NeurIPS 2023Frequency Domain-Based Dataset Distillation
  39. NeurIPS 2023Gacs-Korner Common Information Variational Autoencoder
  40. NeurIPS 2023GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
  41. NeurIPS 2023GMSF: Global Matching Scene Flow
  42. NeurIPS 2023GPEX, A Framework For Interpreting Artificial Neural Networks
  43. NeurIPS 2023GSLB: The Graph Structure Learning Benchmark
  44. NeurIPS 2023H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
  45. NeurIPS 2023Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
  46. NeurIPS 2023How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
  47. NeurIPS 2023How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
  48. NeurIPS 2023HT-Step: Aligning Instructional Articles with How-To Videos
  49. NeurIPS 2023Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context
  50. NeurIPS 2023Hyper-HMM: aligning human brains and semantic features in a common latent event space

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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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