通用机器学习 · evaluation论文趋势 2023–2026

通用机器学习：evaluation

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 606 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

通用机器学习 · evaluation论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023181711753
20247116226115
202512419587208
202657191486230

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

全部通用机器学习 · evaluation论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 606 篇，第 10 / 13 页

  1. ICLR 2024MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
  2. ICLR 2024Neural Optimal Transport with General Cost Functionals
  3. ICLR 2024Parallelizing non-linear sequential models over the sequence length
  4. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
  5. ICLR 2024Safe Collaborative Filtering
  6. ICLR 2024SAS: Structured Activation Sparsification
  7. ICLR 2024The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
  8. ICLR 2024Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
  9. ICLR 2024Transferring Learning Trajectories of Neural Networks
  10. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
  11. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
  12. ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
  13. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
  14. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
  15. ICML 2024Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
  16. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
  17. ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
  18. ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
  19. ICML 2024CurBench: Curriculum Learning Benchmark
  20. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
  21. ICML 2024Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
  22. ICML 2024Evaluation of Trajectory Distribution Predictions with Energy Score
  23. ICML 2024Kernel-Based Evaluation of Conditional Biological Sequence Models
  24. ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
  25. ICML 2024On the Hardness of Probabilistic Neurosymbolic Learning
  26. ICML 2024Policy Evaluation for Variance in Average Reward Reinforcement Learning
  27. ICML 2024Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
  28. ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
  29. ICML 2024SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
  30. ICML 2024Stability Evaluation through Distributional Perturbation Analysis
  31. ICML 2024Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
  32. ICML 2024Transolver: A Fast Transformer Solver for PDEs on General Geometries
  33. NeurIPS 2024Accuracy is Not All You Need
  34. NeurIPS 2024Active Learning of General Halfspaces: Label Queries vs Membership Queries
  35. NeurIPS 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
  36. NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
  37. NeurIPS 2024Algorithmic progress in language models
  38. NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
  39. NeurIPS 2024Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
  40. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
  41. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
  42. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
  43. NeurIPS 2024Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?
  44. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
  45. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
  46. NeurIPS 2024Contrastive dimension reduction: when and how?
  47. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
  48. NeurIPS 2024Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
  49. NeurIPS 2024Efficient Lifelong Model Evaluation in an Era of Rapid Progress
  50. NeurIPS 2024Efficient multi-prompt evaluation of LLMs

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 查通用机器学习 · evaluation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": "gml-evaluation"}

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通用机器学习 · evaluation论文？
共 606 篇，按年份分别是 2023 年 53 篇、2024 年 115 篇、2025 年 208 篇、2026 年 230 篇。
NeurIPS 2026 有多少篇通用机器学习 · evaluation论文？
NeurIPS 2026 有 57 篇通用机器学习 · evaluation论文，上一届是 124 篇。
ICLR 2026 有多少篇通用机器学习 · evaluation论文？
ICLR 2026 有 19 篇通用机器学习 · evaluation论文，上一届是 19 篇。
ICML 2026 有多少篇通用机器学习 · evaluation论文？
ICML 2026 有 148 篇通用机器学习 · evaluation论文，上一届是 58 篇。
CVPR 2026 有多少篇通用机器学习 · evaluation论文？
CVPR 2026 有 6 篇通用机器学习 · evaluation论文，上一届是 7 篇。
哪个会议的通用机器学习 · evaluation论文最多？
NeurIPS，2023–2026 年共 270 篇。

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