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 111 篇，第 2 / 3 页

51. ICML 2026Language Model Augmented Semi-Supervised Statistical Inference
52. ICML 2026Large Scale Manifold Balanced Clustering
53. ICML 2026LassoFlexNet: a Flexible Neural Architecture for Tabular Data
54. ICML 2026Learning Generalized Label Distributions
55. ICML 2026Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
56. ICML 2026Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
57. ICML 2026Learning to Rank by Directly Optimizing Full-Order Probabilities
58. ICML 2026Learning-augmented Rent-or-Buy with a Sample
59. ICML 2026Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
60. ICML 2026LEMUR: Learned Multi-Vector Retrieval
61. ICML 2026Lie-Algebraic Acceleration of Neural Koopman Dynamics
62. ICML 2026Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence
63. ICML 2026LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
64. ICML 2026Low-Rank and Sparsity Are All You Need: Exploring Robust Hierarchical Latent Subspaces for Transferable Adversarial Attack
65. ICML 2026Masked Multi-path Contrast with Confidence-Gated Semantic Imputation for Incomplete Multi-view Clustering
66. ICML 2026MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
67. ICML 2026Mind the Budget: Accelerating Deep Reinforcement Learning using Constrained Early Exit Neural Networks
68. ICML 2026Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
69. ICML 2026MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
70. ICML 2026Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems
71. ICML 2026Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
72. ICML 2026Newton-coupled Dual-Teacher Semi-supervised Learning Framework
73. ICML 2026On the Power of Statistics in Class-Incremental Learning with Pretrained Models
74. ICML 2026On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
75. ICML 2026One Coin Has Two Sides: Single Poistive Multi Label Learning from Salient Annotations
76. ICML 2026Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring
77. ICML 2026Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
78. ICML 2026Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
79. ICML 2026PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
80. ICML 2026Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
81. ICML 2026RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data
82. ICML 2026Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls
83. ICML 2026Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
84. ICML 2026Self-Supervised Learning as Discrete Communication
85. ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
86. ICML 2026Semi-Supervised Hypothesis Testing by Betting on Predictions
87. ICML 2026Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
88. ICML 2026Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression
89. ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
90. ICML 2026Solving Time-Dependent Differential Equations with Physical Dynamical Systems
91. ICML 2026SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
92. ICML 2026SpikeCLR: Self-Supervised Contrastive Learning for Visual Representations with Spiking Neural Networks
93. ICML 2026STAND: Self-Aware Precondition Induction for Interactive Task Learning
94. ICML 2026Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
95. ICML 2026TabularBERT: Binning-Based Self-Supervised Learning for Tabular Representation
96. ICML 2026Taking the GP Out of the Loop
97. ICML 2026The Extra Tokens Matter: Disentangled Representation Learning with Vision Transformers
98. ICML 2026Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit
99. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
100. ICML 2026Topology-Preserving Neural Operator Learning via Hodge Decomposition

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。