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
- 通用机器学习 · evaluation论文从 2023 年的 53 篇增长到 2026 年的 230 篇，三年间扩大到约 4.3 倍。
- NeurIPS 是发通用机器学习 · evaluation论文最多的会议，2023–2026 年共 270 篇，占四个会议总量的 45%。
- 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 47 篇。
- 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 4；同组增长最快的通用机器学习 · reinforcement learning是 2.0 倍，通用机器学习 · evaluation是 4.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 18 | 17 | 11 | 7 | 53 |
| 2024 | 71 | 16 | 22 | 6 | 115 |
| 2025 | 124 | 19 | 58 | 7 | 208 |
| 2026 | 57 | 19 | 148 | 6 | 230 |
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
- NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
- ICML 2026A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human Behaviors
- ICLR 2026Unlearning Evaluation through Subset Statistical Independence
- CVPR 2026Bridging the Perception Gap in Image Super-Resolution Evaluation
- NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
- ICML 2025AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
- ICLR 2025On Speeding Up Language Model Evaluation
- CVPR 2025ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
- NeurIPS 2024Accuracy is Not All You Need
- ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
- ICLR 2024BatchPrompt: Accomplish more with less
- CVPR 2024Animating General Image with Large Visual Motion Model
- NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
- ICML 2023Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
- ICLR 2023Beyond calibration: estimating the grouping loss of modern neural networks
- CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
- NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
- ICML 2026A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
- ICLR 2026Choices Speak Louder than Questions
- CVPR 2026Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
全部通用机器学习 · evaluation论文
共 18 篇，第 1 / 1 页
- NeurIPS 2023A General Framework for Robust G-Invariance in G-Equivariant Networks
- NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
- NeurIPS 2023Beyond Average Return in Markov Decision Processes
- NeurIPS 2023Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
- NeurIPS 2023Beyond Normal: On the Evaluation of Mutual Information Estimators
- NeurIPS 2023Building Socio-culturally Inclusive Stereotype Resources with Community Engagement
- NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
- NeurIPS 2023Counterfactual Evaluation of Peer-Review Assignment Policies
- NeurIPS 2023Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
- NeurIPS 2023CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
- NeurIPS 2023Curvature Filtrations for Graph Generative Model Evaluation
- NeurIPS 2023FELM: Benchmarking Factuality Evaluation of Large Language Models
- NeurIPS 2023Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
- NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
- NeurIPS 2023Optimal and Fair Encouragement Policy Evaluation and Learning
- NeurIPS 2023Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
- NeurIPS 2023Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards
- NeurIPS 2023SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated 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"}
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。