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 23 / 54 页
- ICML 2025Distributional Diffusion Models with Scoring Rules
- ICML 2025Diversified Flow Matching with Translation Identifiability
- ICML 2025Divide and Conquer: Learning Label Distribution with Subtasks
- ICML 2025Does learning the right latent variables necessarily improve in-context learning?
- ICML 2025Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
- ICML 2025Dueling Convex Optimization with General Preferences
- ICML 2025E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
- ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
- ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
- ICML 2025Efficient Network Automatic Relevance Determination
- ICML 2025ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
- ICML 2025Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
- ICML 2025Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing
- ICML 2025ENSUR: Equitable and Statistically Unbiased Recommendation
- ICML 2025Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
- ICML 2025Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
- ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
- ICML 2025Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
- ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
- ICML 2025FedClean: A General Robust Label Noise Correction for Federated Learning
- ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
- ICML 2025Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
- ICML 2025From Logits to Hierarchies: Hierarchical Clustering made Simple
- ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
- ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
- ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
- ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
- ICML 2025Generalization Performance of Ensemble Clustering: From Theory to Algorithm
- ICML 2025Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
- ICML 2025Generalized Interpolating Discrete Diffusion
- ICML 2025Geometric Contact Flows: Contactomorphisms for Dynamics and Control
- ICML 2025Gradient Aligned Regression via Pairwise Losses
- ICML 2025GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
- ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
- ICML 2025Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
- ICML 2025Heterogeneous Sufficient Dimension Reduction and Subspace Clustering
- ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
- ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
- ICML 2025HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
- ICML 2025How Do Large Language Monkeys Get Their Power (Laws)?
- ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
- ICML 2025Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
- ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
- ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
- ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
- ICML 2025In-Context Learning and Occam's Razor
- ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
- ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
- ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
- ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
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。