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 189 篇,第 1 / 4 页

  1. ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
  2. ICML 2025A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
  3. ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
  4. ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
  5. ICML 2025Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
  6. ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
  7. ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
  8. ICML 2025Adversarial Robustness via Deformable Convolution with Stochasticity
  9. ICML 2025AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
  10. ICML 2025Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
  11. ICML 2025Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
  12. ICML 2025Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
  13. ICML 2025Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
  14. ICML 2025Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
  15. ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
  16. ICML 2025Average Sensitivity of Hierarchical $k$-Median Clustering
  17. ICML 2025Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
  18. ICML 2025Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
  19. ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
  20. ICML 2025Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
  21. ICML 2025Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
  22. ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
  23. ICML 2025Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
  24. ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
  25. ICML 2025Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
  26. ICML 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
  27. ICML 2025Clustering Properties of Self-Supervised Learning
  28. ICML 2025CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
  29. ICML 2025Communicating Activations Between Language Model Agents
  30. ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
  31. ICML 2025Concentration Distribution Learning from Label Distributions
  32. ICML 2025Concept Reachability in Diffusion Models: Beyond Dataset Constraints
  33. ICML 2025Conservative Offline Goal-Conditioned Implicit V-Learning
  34. ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
  35. ICML 2025CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
  36. ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
  37. ICML 2025CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
  38. ICML 2025CTBench: A Library and Benchmark for Certified Training
  39. ICML 2025DataDecide: How to Predict Best Pretraining Data with Small Experiments
  40. ICML 2025Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
  41. ICML 2025Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
  42. ICML 2025Diverging Preferences: When do Annotators Disagree and do Models Know?
  43. ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
  44. ICML 2025Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
  45. ICML 2025Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
  46. ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
  47. ICML 2025EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
  48. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
  49. ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
  50. 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"}

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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