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 682 篇，第 5 / 14 页
- ICLR 2025SGD with memory: fundamental properties and stochastic acceleration
- ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
- ICLR 2025Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
- ICLR 2025Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
- ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
- ICLR 2025SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
- ICLR 2025Spherical Tree-Sliced Wasserstein Distance
- ICLR 2025Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression
- ICLR 2025Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
- ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
- ICLR 2025Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
- ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
- ICLR 2025The Belief State Transformer
- ICLR 2025The Foundations of Tokenization: Statistical and Computational Concerns
- ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
- ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
- ICLR 2025Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity
- ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
- ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
- ICLR 2025Towards Calibrated Deep Clustering Network
- ICLR 2025Towards General-Purpose Model-Free Reinforcement Learning
- ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
- ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
- ICLR 2025Training Neural Networks as Recognizers of Formal Languages
- ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
- ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
- ICLR 2025UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
- ICLR 2025Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
- ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
- ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
- ICLR 2025Unsupervised Meta-Learning via In-Context Learning
- ICLR 2025Unsupervised Model Tree Heritage Recovery
- ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
- ICLR 2025Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
- ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
- ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
- ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
- ICLR 2025Wasserstein-Regularized Conformal Prediction under General Distribution Shift
- ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
- ICLR 2025What to align in multimodal contrastive learning?
- ICML 2025A Certified Unlearning Approach without Access to Source Data
- ICML 2025A General Framework for Inference-time Scaling and Steering of Diffusion Models
- ICML 2025A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
- ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
- ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
- ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
- ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
- ICML 2025A Theoretical Framework For Overfitting In Energy-based Modeling
- ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
- ICML 2025Active feature acquisition via explainability-driven ranking
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。