通用机器学习 · supervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · supervised learning论文从 2023 年的 263 篇增长到 2026 年的 279 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发通用机器学习 · supervised learning论文最多的会议，2023–2026 年共 731 篇，占四个会议总量的 51%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 9 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 3；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · supervised learning是 1.1 倍。

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 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
• ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
• NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
• ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
• ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
• ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
• ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
• ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
• CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
• NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
• ICML 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
• ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
• CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork

全部通用机器学习 · supervised learning论文

共 76 篇，第 2 / 2 页

51. CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
52. CVPR 2023Self-Supervised Representation Learning for CAD
53. CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
54. CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
55. CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
56. CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
57. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
58. CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
59. CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
60. CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
61. CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
62. CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
63. CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
64. CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
65. CVPR 2023StyLess: Boosting the Transferability of Adversarial Examples
66. CVPR 2023Super-Resolution Neural Operator
67. CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
68. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
69. CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
70. CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
71. CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
72. CVPR 2023Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
73. CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
74. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
75. CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
76. CVPR 2023Weakly-Supervised Single-View Image Relighting

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · supervised learning论文？

共 1,425 篇，按年份分别是 2023 年 263 篇、2024 年 511 篇、2025 年 372 篇、2026 年 279 篇。

NeurIPS 2026 有多少篇通用机器学习 · supervised learning论文？

NeurIPS 2026 有 87 篇通用机器学习 · supervised learning论文，上一届是 171 篇。

ICLR 2026 有多少篇通用机器学习 · supervised learning论文？

ICLR 2026 有 48 篇通用机器学习 · supervised learning论文，上一届是 40 篇。

ICML 2026 有多少篇通用机器学习 · supervised learning论文？

ICML 2026 有 111 篇通用机器学习 · supervised learning论文，上一届是 114 篇。

CVPR 2026 有多少篇通用机器学习 · supervised learning论文？

CVPR 2026 有 33 篇通用机器学习 · supervised learning论文，上一届是 47 篇。

哪个会议的通用机器学习 · supervised learning论文最多？

NeurIPS，2023–2026 年共 731 篇。