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 948 篇，第 11 / 19 页

  1. ICML 2024Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
  2. ICML 2024Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets
  3. ICML 2024Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
  4. ICML 2024Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
  5. ICML 2024Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
  6. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
  7. ICML 2024Careful with that Scalpel: Improving Gradient Surgery with an EMA
  8. ICML 2024CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
  9. ICML 2024Causality Based Front-door Defense Against Backdoor Attack on Language Models
  10. ICML 2024Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
  11. ICML 2024Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
  12. ICML 2024Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
  13. ICML 2024CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
  14. ICML 2024CLLMs: Consistency Large Language Models
  15. ICML 2024Clustered Federated Learning via Gradient-based Partitioning
  16. ICML 2024Codebook Features: Sparse and Discrete Interpretability for Neural Networks
  17. ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
  18. ICML 2024Combining Experimental and Historical Data for Policy Evaluation
  19. ICML 2024Complexity Matters: Feature Learning in the Presence of Spurious Correlations
  20. ICML 2024Compressing Large Language Models by Joint Sparsification and Quantization
  21. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
  22. ICML 2024Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
  23. ICML 2024Conformal Predictions under Markovian Data
  24. ICML 2024Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
  25. ICML 2024Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
  26. ICML 2024Contextual Feature Selection with Conditional Stochastic Gates
  27. ICML 2024Controlled Decoding from Language Models
  28. ICML 2024Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
  29. ICML 2024Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
  30. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
  31. ICML 2024Cooperative Graph Neural Networks
  32. ICML 2024CurBench: Curriculum Learning Benchmark
  33. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
  34. ICML 2024Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
  35. ICML 2024Deep Networks Always Grok and Here is Why
  36. ICML 2024Deep Neural Room Acoustics Primitive
  37. ICML 2024Defining Neural Network Architecture through Polytope Structures of Datasets
  38. ICML 2024Deletion-Anticipative Data Selection with a Limited Budget
  39. ICML 2024Differentiable Combinatorial Scheduling at Scale
  40. ICML 2024Differentiable Weightless Neural Networks
  41. ICML 2024Differentially Private Decentralized Learning with Random Walks
  42. ICML 2024Differentially Private Worst-group Risk Minimization
  43. ICML 2024DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
  44. ICML 2024DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
  45. ICML 2024Directly Denoising Diffusion Models
  46. ICML 2024Discovering Environments with XRM
  47. ICML 2024Discovering Features with Synergistic Interactions in Multiple Views
  48. ICML 2024Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
  49. ICML 2024Distributional Bellman Operators over Mean Embeddings
  50. ICML 2024Distributionally Robust Data Valuation

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。

「效率与系统」下的其他主题