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 5 / 16 页
- ICLR 2026Polynomial, trigonometric, and tropical activations
- ICLR 2026Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
- ICLR 2026PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
- ICLR 2026Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
- ICLR 2026PRISM: Partial-label Relational Inference with Spatial and Spectral Cues
- ICLR 2026Probing in the Dark: State Entropy Maximization for POMDPs
- ICLR 2026Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint
- ICLR 2026PU-BENCH: A UNIFIED BENCHMARK FOR RIGOROUS AND REPRODUCIBLE PU LEARNING
- ICLR 2026Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
- ICLR 2026Reducing Class-Wise Performance Disparity via Margin Regularization
- ICLR 2026Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction
- ICLR 2026Rethinking Consistent Multi-Label Classification under Inexact Supervision
- ICLR 2026Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
- ICLR 2026Revela: Dense Retriever Learning via Language Modeling
- ICLR 2026Revisiting [CLS] and Patch Token Interaction in Vision Transformers
- ICLR 2026Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training Vulnerability
- ICLR 2026Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning
- ICLR 2026Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
- ICLR 2026Selective Rotary Position Embedding
- ICLR 2026Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent
- ICLR 2026Sequential Information Bottleneck Fusion: Towards Robust and Generalizable Multi-Modal Brain Tumor Segmentation
- ICLR 2026Sharp asymptotic theory for Q-learning with \texttt{LD2Z} learning rate and its generalization
- ICLR 2026sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
- ICLR 2026SNAPHARD CONTRAST LEARNING
- ICLR 2026Softmax is not Enough (for Adaptive Conformal Classification)
- ICLR 2026Spatial Structure and Selective Text Jointly Facilitate Image Clustering
- ICLR 2026Spectral Attention Steering for Prompt Highlighting
- ICLR 2026SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
- ICLR 2026SpikeGen: Decoupled “Rods and Cones” Visual Representation Processing with Latent Generative Framework
- ICLR 2026Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation
- ICLR 2026Steering Language Models with Weight Arithmetic
- ICLR 2026Summaries as Centroids for Interpretable and Scalable Text Clustering
- ICLR 2026Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence
- ICLR 2026SUSD: Structured Unsupervised Skill Discovery through State Factorization
- ICLR 2026t-SNE Exaggerates Clusters, Provably
- ICLR 2026The Logical Expressiveness of Topological Neural Networks
- ICLR 2026Thicker and Quicker: The Jumbo Token for Fast Plain Vision Transformers
- ICLR 2026Token Distillation: Attention-Aware Input Embeddings for New Tokens
- ICLR 2026Topology and geometry of the learning space of ReLU networks: connectivity and singularities
- ICLR 2026Towards Improved Sentence Representations using Token Graphs
- ICLR 2026TrainRef: Curating Data with Label Distribution and Minimal Reference for Accurate Prediction and Reliable Confidence
- ICLR 2026Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures
- ICLR 2026TS-DDAE: A novel Temporal-Spectral Denoising Diffusion AutoEncoder for Wireless Signal Recognition Model Pre-training
- ICLR 2026Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory
- ICLR 2026Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
- ICLR 2026Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
- ICLR 2026Unified and Efficient Multi-view Clustering from Probabilistic Perspective
- ICLR 2026UNIVERSAL AND EFFICIENT LOADING BALANCING FOR RL TRAINING OF LARGE MULTIMODAL MODELS
- ICLR 2026Universal Beta Splatting
- ICLR 2026Unlearning Evaluation through Subset Statistical Independence
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。