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 263 篇，第 2 / 6 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
77. ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
78. ICLR 2023A theoretical study of inductive biases in contrastive learning
79. ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
80. ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
81. ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
82. ICLR 2023Don’t fear the unlabelled: safe semi-supervised learning via debiasing
83. ICLR 2023EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
84. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
85. ICLR 2023Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
86. ICLR 2023Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
87. ICLR 2023FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
88. ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
89. ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
90. ICLR 2023HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
91. ICLR 2023Identifiability Results for Multimodal Contrastive Learning
92. ICLR 2023Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
93. ICLR 2023InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
94. ICLR 2023Label Propagation with Weak Supervision
95. ICLR 2023Learning Controllable Adaptive Simulation for Multi-resolution Physics
96. ICLR 2023Minimax Optimal Kernel Operator Learning via Multilevel Training
97. ICLR 2023MocoSFL: enabling cross-client collaborative self-supervised learning
98. ICLR 2023No Reason for No Supervision: Improved Generalization in Supervised Models
99. ICLR 2023Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
100. ICLR 2023On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.

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。