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 66 篇，第 1 / 2 页

1. CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
2. CVPR 2025A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
3. CVPR 2025AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
4. CVPR 2025Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
5. CVPR 2025AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes
6. CVPR 2025AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
7. CVPR 2025Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
8. CVPR 2025Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
9. CVPR 2025Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
10. CVPR 2025Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
11. CVPR 2025CleanDIFT: Diffusion Features without Noise
12. CVPR 2025CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
13. CVPR 2025Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
14. CVPR 2025Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
15. CVPR 2025CustAny: Customizing Anything from A Single Example
16. CVPR 2025Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
17. CVPR 2025Deformable Radial Kernel Splatting
18. CVPR 2025DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
19. CVPR 2025DepthSplat: Connecting Gaussian Splatting and Depth
20. CVPR 2025Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
21. CVPR 2025Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
22. CVPR 2025Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening
23. CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
24. CVPR 2025FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection
25. CVPR 2025Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation
26. CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
27. CVPR 2025Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
28. CVPR 2025HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
29. CVPR 2025Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
30. CVPR 2025HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction
31. CVPR 2025Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification
32. CVPR 2025Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
33. CVPR 2025Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
34. CVPR 2025Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
35. CVPR 2025LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
36. CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
37. CVPR 2025MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining
38. CVPR 2025MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
39. CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
40. CVPR 2025NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
41. CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
42. CVPR 2025Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
43. CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
44. CVPR 2025ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
45. CVPR 2025Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
46. CVPR 2025Recovering Dynamic 3D Sketches from Videos
47. CVPR 2025Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification
48. CVPR 2025Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
49. CVPR 2025Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
50. CVPR 2025Samba: A Unified Mamba-based Framework for General Salient Object Detection

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。