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

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 5,852 篇，第 108 / 118 页

  1. ICLR 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
  2. ICLR 2023Federated Learning from Small Datasets
  3. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
  4. ICLR 2023From $t$-SNE to UMAP with contrastive learning
  5. ICLR 2023Function-space regularized Rényi divergences
  6. ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
  7. ICLR 2023GLM-130B: An Open Bilingual Pre-trained Model
  8. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
  9. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  10. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
  11. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
  12. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
  13. ICLR 2023Impossibly Good Experts and How to Follow Them
  14. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
  15. ICLR 2023Improved Learning-augmented Algorithms for k-means and k-medians Clustering
  16. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
  17. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
  18. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
  19. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
  20. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
  21. ICLR 2023Label-free Concept Bottleneck Models
  22. ICLR 2023Latent Bottlenecked Attentive Neural Processes
  23. ICLR 2023Latent Neural ODEs with Sparse Bayesian Multiple Shooting
  24. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
  25. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
  26. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
  27. ICLR 2023Leveraging Importance Weights in Subset Selection
  28. ICLR 2023Leveraging Unlabeled Data to Track Memorization
  29. ICLR 2023LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
  30. ICLR 2023LMSeg: Language-guided Multi-dataset Segmentation
  31. ICLR 2023Long-Tailed Partial Label Learning via Dynamic Rebalancing
  32. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
  33. ICLR 2023Massively Scaling Heteroscedastic Classifiers
  34. ICLR 2023Matching receptor to odorant with protein language and graph neural networks
  35. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
  36. ICLR 2023Mega: Moving Average Equipped Gated Attention
  37. ICLR 2023Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
  38. ICLR 2023Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
  39. ICLR 2023MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
  40. ICLR 2023Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations
  41. ICLR 2023Mitigating Dataset Bias by Using Per-Sample Gradient
  42. ICLR 2023Monocular Scene Reconstruction with 3D SDF Transformers
  43. ICLR 2023MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
  44. ICLR 2023Mutual Partial Label Learning with Competitive Label Noise
  45. ICLR 2023Near-optimal Coresets for Robust Clustering
  46. ICLR 2023Neural Architecture Design and Robustness: A Dataset
  47. ICLR 2023Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
  48. ICLR 2023Noise-Robust De-Duplication at Scale
  49. ICLR 2023NTK-SAP: Improving neural network pruning by aligning training dynamics
  50. ICLR 2023On the duality between contrastive and non-contrastive self-supervised learning

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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