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 30 / 54 页
- NeurIPS 2025Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
- NeurIPS 2025Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
- NeurIPS 2025Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
- NeurIPS 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
- NeurIPS 2025Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
- NeurIPS 2025Transductive Conformal Inference for Full Ranking
- NeurIPS 2025Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
- NeurIPS 2025Tree-Sliced Entropy Partial Transport
- NeurIPS 2025TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
- NeurIPS 2025Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
- NeurIPS 2025U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
- NeurIPS 2025UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
- NeurIPS 2025UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
- NeurIPS 2025Ultrametric Cluster Hierarchies: I Want ‘em All!
- NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
- NeurIPS 2025Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
- NeurIPS 2025UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
- NeurIPS 2025Universal Sequence Preconditioning
- NeurIPS 2025Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
- NeurIPS 2025Unsupervised Federated Graph Learning
- NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
- NeurIPS 2025Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs
- NeurIPS 2025Unveiling Transformer Perception by Exploring Input Manifolds
- NeurIPS 2025Valid Selection among Conformal Sets
- NeurIPS 2025VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
- NeurIPS 2025Wasserstein Transfer Learning
- NeurIPS 2025Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
- NeurIPS 2025Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
- NeurIPS 2025Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
- NeurIPS 2025ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
- CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
- CVPR 2024A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
- CVPR 2024A General and Efficient Training for Transformer via Token Expansion
- CVPR 2024Absolute Pose from One or Two Scaled and Oriented Features
- CVPR 2024Aligning and Prompting Everything All at Once for Universal Visual Perception
- CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
- CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
- CVPR 2024BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
- CVPR 2024Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
- CVPR 2024Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
- CVPR 2024CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
- CVPR 2024CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
- CVPR 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
- CVPR 2024Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
- CVPR 2024Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
- CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
- CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
- CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
- CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
- CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
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。