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 5 / 14 页
- ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
- ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
- ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
- ICLR 2025Captured by Captions: On Memorization and its Mitigation in CLIP Models
- ICLR 2025CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
- ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
- ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
- ICLR 2025Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
- ICLR 2025COPER: Correlation-based Permutations for Multi-View Clustering
- ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
- ICLR 2025Cross-Entropy Is All You Need To Invert the Data Generating Process
- ICLR 2025CtD: Composition through Decomposition in Emergent Communication
- ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
- ICLR 2025Difference-of-submodular Bregman Divergence
- ICLR 2025Differentiable Integer Linear Programming
- ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
- ICLR 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
- ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
- ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
- ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
- ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
- ICLR 2025Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
- ICLR 2025Dreamweaver: Learning Compositional World Models from Pixels
- ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
- ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
- ICLR 2025ElasticTok: Adaptive Tokenization for Image and Video
- ICLR 2025Elliptic Loss Regularization
- ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
- ICLR 2025Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
- ICLR 2025Exploring a Principled Framework for Deep Subspace Clustering
- ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
- ICLR 2025FairDen: Fair Density-Based Clustering
- ICLR 2025Fast unsupervised ground metric learning with tree-Wasserstein distance
- ICLR 2025Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
- ICLR 2025Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
- ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
- ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
- ICLR 2025Formation of Representations in Neural Networks
- ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
- ICLR 2025GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
- ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
- ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
- ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
- ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
- ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
- ICLR 2025Gramian Multimodal Representation Learning and Alignment
- ICLR 2025Group Downsampling with Equivariant Anti-aliasing
- ICLR 2025Gyrogroup Batch Normalization
- ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
- ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
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。