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 684 篇，第 10 / 14 页
- ICLR 2024Grounded Object-Centric Learning
- ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
- ICLR 2024How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
- ICLR 2024How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
- ICLR 2024Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
- ICLR 2024Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
- ICLR 2024Hypergraph Dynamic System
- ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
- ICLR 2024Identifiable Latent Polynomial Causal Models through the Lens of Change
- ICLR 2024iGraphMix: Input Graph Mixup Method for Node Classification
- ICLR 2024Image Background Serves as Good Proxy for Out-of-distribution Data
- ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
- ICLR 2024Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
- ICLR 2024InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
- ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
- ICLR 2024Inherently Interpretable Time Series Classification via Multiple Instance Learning
- ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
- ICLR 2024Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
- ICLR 2024Jointly-Learned Exit and Inference for a Dynamic Neural Network
- ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
- ICLR 2024Large Language Models as Analogical Reasoners
- ICLR 2024Large Language Models as Optimizers
- ICLR 2024Large Language Models as Tool Makers
- ICLR 2024Layer-wise linear mode connectivity
- ICLR 2024LCOT: Linear Circular Optimal Transport
- ICLR 2024LDReg: Local Dimensionality Regularized Self-Supervised Learning
- ICLR 2024Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
- ICLR 2024Learning interpretable control inputs and dynamics underlying animal locomotion
- ICLR 2024Learning invariant representations of time-homogeneous stochastic dynamical systems
- ICLR 2024Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
- ICLR 2024Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
- ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
- ICLR 2024Learning to Embed Time Series Patches Independently
- ICLR 2024LEMON: Lossless model expansion
- ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
- ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
- ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
- ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
- ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
- ICLR 2024M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
- ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
- ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
- ICLR 2024Masks, Signs, And Learning Rate Rewinding
- ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
- ICLR 2024Memorization in Self-Supervised Learning Improves Downstream Generalization
- ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
- ICLR 2024METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
- ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
- ICLR 2024Modulate Your Spectrum in Self-Supervised Learning
- ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
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。