通用机器学习 · generalization论文趋势 2023–2026
通用机器学习：generalization
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 592 篇被归入该主题的论文。
主要结论
- 通用机器学习 · generalization论文从 2023 年的 136 篇增长到 2026 年的 152 篇，三年间扩大到约 1.1 倍。
- NeurIPS 是发通用机器学习 · generalization论文最多的会议，2023–2026 年共 207 篇，占四个会议总量的 35%。
- 交叉方向里涨得最快的是理论 · learning theory：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 20 篇。
- 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 5；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · generalization是 1.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 42 | 36 | 33 | 25 | 136 |
| 2024 | 46 | 40 | 33 | 16 | 135 |
| 2025 | 61 | 33 | 61 | 14 | 169 |
| 2026 | 58 | 38 | 47 | 9 | 152 |
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 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
- ICML 2026Anti-causal domain generalization: Leveraging unlabeled data
- ICLR 2026Generalization Below the Edge of Stability: The Role of Data Geometry
- CVPR 2026PriVi Towards a General-Purpose Video Model for Primate Behavior in
- NeurIPS 2025Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
- ICML 2025Causality Inspired Federated Learning for OOD Generalization
- ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
- CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
- NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
- ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
- ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
- CVPR 2024Disentangled Prompt Representation for Domain Generalization
- NeurIPS 2023A unified framework for information-theoretic generalization bounds
- ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
- ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
- CVPR 2023AltFreezing for More General Video Face Forgery Detection
- NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
- ICML 2026Are Object-Centric Representations Better at Compositional Generalization?
- ICLR 2026Temporal Generalization: A Reality Check
- CVPR 2026The Golden Subspace Where Efficiency Meets Generalization in Continual Test-Time
全部通用机器学习 · generalization论文
共 169 篇，第 4 / 4 页
- NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
- NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
- NeurIPS 2025Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
- NeurIPS 2025Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
- NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
- NeurIPS 2025Scaling can lead to compositional generalization
- NeurIPS 2025Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
- NeurIPS 2025Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
- NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
- NeurIPS 2025The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
- NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
- NeurIPS 2025Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
- NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
- NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
- NeurIPS 2025Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
- NeurIPS 2025Weak-to-Strong Generalization under Distribution Shifts
- NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
- NeurIPS 2025When Models Don’t Collapse: On the Consistency of Iterative MLE
- NeurIPS 2025Which Algorithms Have Tight Generalization Bounds?
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 · generalization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-generalization"}
常见问题
- 2023–2026 年四大会议一共有多少篇通用机器学习 · generalization论文？
- 共 592 篇，按年份分别是 2023 年 136 篇、2024 年 135 篇、2025 年 169 篇、2026 年 152 篇。
- NeurIPS 2026 有多少篇通用机器学习 · generalization论文？
- NeurIPS 2026 有 58 篇通用机器学习 · generalization论文，上一届是 61 篇。
- ICLR 2026 有多少篇通用机器学习 · generalization论文？
- ICLR 2026 有 38 篇通用机器学习 · generalization论文，上一届是 33 篇。
- ICML 2026 有多少篇通用机器学习 · generalization论文？
- ICML 2026 有 47 篇通用机器学习 · generalization论文，上一届是 61 篇。
- CVPR 2026 有多少篇通用机器学习 · generalization论文？
- CVPR 2026 有 9 篇通用机器学习 · generalization论文，上一届是 14 篇。
- 哪个会议的通用机器学习 · generalization论文最多？
- NeurIPS，2023–2026 年共 207 篇。