通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · unsupervised and semisupervised learning论文从 2023 年的 649 篇增长到 2026 年的 799 篇，三年间扩大到约 1.2 倍。
• ICML 是发通用机器学习 · unsupervised and semisupervised learning论文最多的会议，2023–2026 年共 859 篇，占四个会议总量的 32%。
• 交叉方向里涨得最快的是深度学习 · self supervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 1；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · unsupervised and semisupervised learning是 1.2 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 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

全部通用机器学习 · unsupervised and semisupervised learning论文

共 239 篇，第 2 / 5 页

51. ICML 2025Conformity Score Averaging for Classification
52. ICML 2025Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
53. ICML 2025Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
54. ICML 2025Correlation Clustering Beyond the Pivot Algorithm
55. ICML 2025Counterfactual Graphical Models: Constraints and Inference
56. ICML 2025Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
57. ICML 2025Deep Unsupervised Hashing via External Guidance
58. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
59. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
60. ICML 2025Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
61. ICML 2025Discovering a Zero (Zero-Vector Class of Machine Learning)
62. ICML 2025Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
63. ICML 2025Distributional Diffusion Models with Scoring Rules
64. ICML 2025Diversified Flow Matching with Translation Identifiability
65. ICML 2025Divide and Conquer: Learning Label Distribution with Subtasks
66. ICML 2025Does learning the right latent variables necessarily improve in-context learning?
67. ICML 2025Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
68. ICML 2025Dueling Convex Optimization with General Preferences
69. ICML 2025E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
70. ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
71. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
72. ICML 2025Efficient Network Automatic Relevance Determination
73. ICML 2025ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
74. ICML 2025Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
75. ICML 2025Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing
76. ICML 2025ENSUR: Equitable and Statistically Unbiased Recommendation
77. ICML 2025Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
78. ICML 2025Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
79. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
80. ICML 2025Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
81. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
82. ICML 2025FedClean: A General Robust Label Noise Correction for Federated Learning
83. ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
84. ICML 2025Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
85. ICML 2025From Logits to Hierarchies: Hierarchical Clustering made Simple
86. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
87. ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
88. ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
89. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
90. ICML 2025Generalization Performance of Ensemble Clustering: From Theory to Algorithm
91. ICML 2025Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
92. ICML 2025Generalized Interpolating Discrete Diffusion
93. ICML 2025Geometric Contact Flows: Contactomorphisms for Dynamics and Control
94. ICML 2025Gradient Aligned Regression via Pairwise Losses
95. ICML 2025GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
96. ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
97. ICML 2025Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
98. ICML 2025Heterogeneous Sufficient Dimension Reduction and Subspace Clustering
99. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
100. ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond

常见问题

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

共 2,683 篇，按年份分别是 2023 年 649 篇、2024 年 553 篇、2025 年 682 篇、2026 年 799 篇。

NeurIPS 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

NeurIPS 2026 有 194 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 203 篇。

ICLR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICLR 2026 有 187 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 174 篇。

ICML 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICML 2026 有 348 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 239 篇。

CVPR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

CVPR 2026 有 70 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 66 篇。

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

ICML，2023–2026 年共 859 篇。