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 798 篇，第 15 / 16 页
- NeurIPS 2026MaxSketch: Robust Distinct Counting in Streams via Random Projections
- NeurIPS 2026Measuring and Strengthening Behavioral Suppression in Language Models
- NeurIPS 2026MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
- NeurIPS 2026MedVTok: A General-Purpose Medical Visual Tokenizer
- NeurIPS 2026MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging
- NeurIPS 2026Memorization Is Folding: Topological Signatures of Noisy-Label Learning
- NeurIPS 2026Mini-batch kernel $k$-means
- NeurIPS 2026Minimax Rates and Spectral Distillation for Tree Ensembles
- NeurIPS 2026MinSteer: Minimal-Pair Steering via Two-Stage Cached Continuation
- NeurIPS 2026Mirror descent actor-critic methods for entropy regularised MDPs in general spaces: stability and convergence
- NeurIPS 2026MMSkills: Towards Multimodal Skills for General Visual Agents
- NeurIPS 2026Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP
- NeurIPS 2026ModelLens: Finding the Best for Your Task from Myriads of Models
- NeurIPS 2026MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
- NeurIPS 2026Network Learning with Semi-relaxed Gromov-Wasserstein
- NeurIPS 2026Neural Backward Filtering Forward Guiding
- NeurIPS 2026Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL
- NeurIPS 2026ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
- NeurIPS 2026Offline Constrained Reinforcement Learning under Partial Data Coverage
- NeurIPS 2026Omni-Interactive Universal Embedder
- NeurIPS 2026Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamic Mechanisms and Efficient Alignment
- NeurIPS 2026On the Complexity of Offline Reinforcement Learning with Q*-Approximation and Partial Coverage
- NeurIPS 2026On the Effect of Token Correlations on Semantic Transfer in Transformers
- NeurIPS 2026On the Provable Emergence of Hierarchical Concept Structure in CLIP Embeddings
- NeurIPS 2026One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
- NeurIPS 2026Online Maximization of Non-Decomposable Test and Population Utilities
- NeurIPS 2026OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations
- NeurIPS 2026Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation
- NeurIPS 2026Optimal Convergence Analysis of DDPM for General Distributions
- NeurIPS 2026Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets
- NeurIPS 2026PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
- NeurIPS 2026Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
- NeurIPS 2026Pattern-Based Matrix Analysis Under Permutations
- NeurIPS 2026PENEX: AdaBoost-Inspired Neural Network Regularization
- NeurIPS 2026PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging
- NeurIPS 2026Phase Transitions in Heavy-Tailed Mean Estimation under $\ell_p$ Norms
- NeurIPS 2026Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
- NeurIPS 2026Platonic Task Arithmetic
- NeurIPS 2026PM-LoRA: Scalable Continual Learning via Progressive Merging of Low Rank Adapters
- NeurIPS 2026Prediction-Intervention Games and Invariant Sets
- NeurIPS 2026PRISM: Phenotype-Resolved Inference in Single-Cell Mixed Models via Latent Disease States and Contextualized Differential Expression
- NeurIPS 2026PRISMIC: Reconstructing User Preference via Intent Decomposition and Consolidation
- NeurIPS 2026Progressive Pseudo-label Self-balancing Towards Unsupervised Vision-Language Models Adaptation
- NeurIPS 2026Proximal Difference-in-Differences for Long-Term Causal Learning under Confounding and Outcome Drift
- NeurIPS 2026RAPTOR: Ridge-Adaptive Logistic Probes
- NeurIPS 2026Reading Between the Dots: Decoding Hidden Computation across Filler Tokens
- NeurIPS 2026Reliable Clustering and Quantization via Distortion-Constrained Optimal Transport
- NeurIPS 2026Rethinking Sequential Locate-Then-Edit: Optimality and Stability
- NeurIPS 2026Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions
- NeurIPS 2026Root Cause Analysis of Measurement and Mechanistic Anomalies
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。