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 1,432 篇，第 27 / 29 页

  1. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
  2. ICLR 2023Dataset Pruning: Reducing Training Data by Examining Generalization Influence
  3. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
  4. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
  5. ICLR 2023Decision Transformer under Random Frame Dropping
  6. ICLR 2023DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS
  7. ICLR 2023Deterministic training of generative autoencoders using invertible layers
  8. ICLR 2023DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
  9. ICLR 2023DFPC: Data flow driven pruning of coupled channels without data.
  10. ICLR 2023Disentanglement of Correlated Factors via Hausdorff Factorized Support
  11. ICLR 2023Disentangling the Mechanisms Behind Implicit Regularization in SGD
  12. ICLR 2023Distilling Model Failures as Directions in Latent Space
  13. ICLR 2023Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
  14. ICLR 2023Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
  15. ICLR 2023Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
  16. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
  17. ICLR 2023Equivariant Hypergraph Diffusion Neural Operators
  18. ICLR 2023ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
  19. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
  20. ICLR 2023Evaluating Long-Term Memory in 3D Mazes
  21. ICLR 2023Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
  22. ICLR 2023Extracting Robust Models with Uncertain Examples
  23. ICLR 2023Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection
  24. ICLR 2023Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
  25. ICLR 2023Federated Learning from Small Datasets
  26. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
  27. ICLR 2023From $t$-SNE to UMAP with contrastive learning
  28. ICLR 2023Function-space regularized Rényi divergences
  29. ICLR 2023Git Re-Basin: Merging Models modulo Permutation Symmetries
  30. ICLR 2023GLM-130B: An Open Bilingual Pre-trained Model
  31. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
  32. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  33. ICLR 2023Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
  34. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
  35. ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
  36. ICLR 2023Impossibly Good Experts and How to Follow Them
  37. ICLR 2023Improved Convergence of Differential Private SGD with Gradient Clipping
  38. ICLR 2023Improved Learning-augmented Algorithms for k-means and k-medians Clustering
  39. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
  40. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
  41. ICLR 2023Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
  42. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
  43. ICLR 2023KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
  44. ICLR 2023Label-free Concept Bottleneck Models
  45. ICLR 2023Latent Bottlenecked Attentive Neural Processes
  46. ICLR 2023Latent Neural ODEs with Sparse Bayesian Multiple Shooting
  47. ICLR 2023Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
  48. ICLR 2023Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
  49. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
  50. ICLR 2023Leveraging Importance Weights in Subset Selection

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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