通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026
通用机器学习：unsupervised_and_semisupervised_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,683 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 318 | 87 | 157 | 87 | 649 |
| 2024 | 118 | 236 | 115 | 84 | 553 |
| 2025 | 203 | 174 | 239 | 66 | 682 |
| 2026 | 194 | 187 | 348 | 70 | 799 |
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 2,682 篇，第 31 / 54 页
- CVPR 2024Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
- CVPR 2024Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
- CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
- CVPR 2024EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
- CVPR 2024EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
- CVPR 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
- CVPR 2024Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
- CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
- CVPR 2024Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
- CVPR 2024FreePoint: Unsupervised Point Cloud Instance Segmentation
- CVPR 2024General Object Foundation Model for Images and Videos at Scale
- CVPR 2024General Point Model Pretraining with Autoencoding and Autoregressive
- CVPR 2024Guided Slot Attention for Unsupervised Video Object Segmentation
- CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
- CVPR 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
- CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
- CVPR 2024HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
- CVPR 2024IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
- CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
- CVPR 2024Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
- CVPR 2024Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
- CVPR 2024Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
- CVPR 2024Learning to Count without Annotations
- CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
- CVPR 2024M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
- CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
- CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
- CVPR 2024Move Anything with Layered Scene Diffusion
- CVPR 2024MR-VNet: Media Restoration using Volterra Networks
- CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking
- CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
- CVPR 2024Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
- CVPR 2024OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
- CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
- CVPR 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
- CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
- CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
- CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
- CVPR 2024Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
- CVPR 2024SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
- CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
- CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
- CVPR 2024Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
- CVPR 2024Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
- CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
- CVPR 2024TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
- CVPR 2024UnO: Unsupervised Occupancy Fields for Perception and Forecasting
- CVPR 2024UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
- CVPR 2024UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
- CVPR 2024Unsupervised 3D Structure Inference from Category-Specific Image Collections
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查通用机器学习 · unsupervised and semisupervised learning在 ICML 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "gml-unsupervised-and-semisupervised-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。