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 239 篇，第 5 / 5 页
- ICML 2025TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
- ICML 2025Tensor Decomposition Based Memory-Efficient Incremental Learning
- ICML 2025The Batch Complexity of Bandit Pure Exploration
- ICML 2025The Complexity of Learning Sparse Superposed Features with Feedback
- ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
- ICML 2025The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
- ICML 2025The Relationship Between No-Regret Learning and Online Conformal Prediction
- ICML 2025Tight and Fast Bounds for Multi-Label Learning
- ICML 2025Time Series Representations with Hard-Coded Invariances
- ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
- ICML 2025To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
- ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
- ICML 2025Towards an Explainable Comparison and Alignment of Feature Embeddings
- ICML 2025Towards Lifelong Model Editing via Simulating Ideal Editor
- ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
- ICML 2025Towards the Causal Complete Cause of Multi-Modal Representation Learning
- ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
- ICML 2025Towards Understanding Parametric Generalized Category Discovery on Graphs
- ICML 2025Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
- ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
- ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
- ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
- ICML 2025Universal Neural Optimal Transport
- ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
- ICML 2025Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
- ICML 2025Unsupervised Learning for Class Distribution Mismatch
- ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
- ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
- ICML 2025Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
- ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
- ICML 2025Volume Optimality in Conformal Prediction with Structured Prediction Sets
- ICML 2025Volume-Aware Distance for Robust Similarity Learning
- ICML 2025Wait-Less Offline Tuning and Re-solving for Online Decision Making
- ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
- ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
- ICML 2025When Bad Data Leads to Good Models
- ICML 2025When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
- ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
- ICML 2025Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
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。