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 174 篇，第 2 / 4 页

51. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
52. ICLR 2025Bayesian Optimization via Continual Variational Last Layer Training
53. ICLR 2025Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
54. ICLR 2025Conditional Testing based on Localized Conformal $p$-values
55. ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
56. ICLR 2025CONGO: Compressive Online Gradient Optimization
57. ICLR 2025CViT: Continuous Vision Transformer for Operator Learning
58. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
59. ICLR 2025Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
60. ICLR 2025Generalizable Motion Planning via Operator Learning
61. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
62. ICLR 2025High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
63. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
64. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
65. ICLR 2025LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
66. ICLR 2025Learning Chaos In A Linear Way
67. ICLR 2025Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
68. ICLR 2025Lipschitz Bandits in Optimal Space
69. ICLR 2025MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
70. ICLR 2025MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
71. ICLR 2025Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
72. ICLR 2025Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
73. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
74. ICLR 2025Offline Model-Based Optimization by Learning to Rank
75. ICLR 2025Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
76. ICLR 2025PABBO: Preferential Amortized Black-Box Optimization
77. ICLR 2025PIED: Physics-Informed Experimental Design for Inverse Problems
78. ICLR 2025PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
79. ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
80. ICLR 2025RESuM: A Rare Event Surrogate Model for Physics Detector Design
81. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
82. ICLR 2025Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
83. ICLR 2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
84. ICLR 2025SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
85. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
86. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
87. ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
88. ICLR 2025Wasserstein-Regularized Conformal Prediction under General Distribution Shift
89. ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
90. ICLR 2024AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
91. ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
92. ICLR 2024Efficient Integrators for Diffusion Generative Models
93. ICLR 2024Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
94. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
95. ICLR 2024Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
96. ICLR 2024Fair Classifiers that Abstain without Harm
97. ICLR 2024Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
98. ICLR 2024From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
99. ICLR 2024Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
100. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

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。