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 682 篇，第 2 / 14 页

51. CVPR 2025Scene-Centric Unsupervised Panoptic Segmentation
52. CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
53. CVPR 2025Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
54. CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
55. CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
56. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
57. CVPR 2025Temporally Consistent Object-Centric Learning by Contrasting Slots
58. CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
59. CVPR 2025UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
60. CVPR 2025UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
61. CVPR 2025UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
62. CVPR 2025Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
63. CVPR 2025Unsupervised Discovery of Facial Landmarks and Head Pose
64. CVPR 2025Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
65. CVPR 2025UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
66. CVPR 2025Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
67. ICLR 2025A General Framework for Off-Policy Learning with Partially-Observed Reward
68. ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
69. ICLR 2025A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
70. ICLR 2025A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer
71. ICLR 2025A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
72. ICLR 2025Advancing Out-of-Distribution Detection via Local Neuroplasticity
73. ICLR 2025Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
74. ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
75. ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
76. ICLR 2025Ask, and it shall be given: On the Turing completeness of prompting
77. ICLR 2025Associative memory and dead neurons
78. ICLR 2025AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
79. ICLR 2025Beyond Random Augmentations: Pretraining with Hard Views
80. ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
81. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
82. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
83. ICLR 2025Captured by Captions: On Memorization and its Mitigation in CLIP Models
84. ICLR 2025CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
85. ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
86. ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
87. ICLR 2025Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
88. ICLR 2025COPER: Correlation-based Permutations for Multi-View Clustering
89. ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
90. ICLR 2025Cross-Entropy Is All You Need To Invert the Data Generating Process
91. ICLR 2025CtD: Composition through Decomposition in Emergent Communication
92. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
93. ICLR 2025Difference-of-submodular Bregman Divergence
94. ICLR 2025Differentiable Integer Linear Programming
95. ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
96. ICLR 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
97. ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
98. ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
99. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
100. ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance

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。