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 84 篇，第 2 / 2 页

51. CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
52. CVPR 2024Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
53. CVPR 2024OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
54. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
55. CVPR 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
56. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
57. CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
58. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
59. CVPR 2024Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
60. CVPR 2024SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
61. CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
62. CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
63. CVPR 2024Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
64. CVPR 2024Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
65. CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
66. CVPR 2024TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
67. CVPR 2024UnO: Unsupervised Occupancy Fields for Perception and Forecasting
68. CVPR 2024UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
69. CVPR 2024UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
70. CVPR 2024Unsupervised 3D Structure Inference from Category-Specific Image Collections
71. CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
72. CVPR 2024Unsupervised Deep Unrolling Networks for Phase Unwrapping
73. CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
74. CVPR 2024Unsupervised Gaze Representation Learning from Multi-view Face Images
75. CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
76. CVPR 2024Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
77. CVPR 2024Unsupervised Occupancy Learning from Sparse Point Cloud
78. CVPR 2024Unsupervised Salient Instance Detection
79. CVPR 2024Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
80. CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
81. CVPR 2024Unsupervised Universal Image Segmentation
82. CVPR 2024Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
83. CVPR 2024VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
84. CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

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。