通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

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。

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 4 / 5 页

151. ICML 2025On Volume Minimization in Conformal Regression
152. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
153. ICML 2025Online Clustering of Dueling Bandits
154. ICML 2025Online Learning in the Random-Order Model
155. ICML 2025Optimal transport-based conformal prediction
156. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
157. ICML 2025Permutation-Free High-Order Interaction Tests
158. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
159. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
160. ICML 2025Point-Level Topological Representation Learning on Point Clouds
161. ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
162. ICML 2025Position: AI Scaling: From Up to Down and Out
163. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
164. ICML 2025Positive-unlabeled AUC Maximization under Covariate Shift
165. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
166. ICML 2025Predictive Performance of Deep Quantum Data Re-uploading Models
167. ICML 2025Projection Pursuit Density Ratio Estimation
168. ICML 2025Proto Successor Measure: Representing the Behavior Space of an RL Agent
169. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
170. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
171. ICML 2025Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
172. ICML 2025Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
173. ICML 2025Relational Conformal Prediction for Correlated Time Series
174. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
175. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
176. ICML 2025Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
177. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
178. ICML 2025Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
179. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
180. ICML 2025Sample Complexity of Branch-length Estimation by Maximum Likelihood
181. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
182. ICML 2025Scalable Model Merging with Progressive Layer-wise Distillation
183. ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
184. ICML 2025Score Matching with Missing Data
185. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
186. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
187. ICML 2025Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
188. ICML 2025SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
189. ICML 2025Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
190. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
191. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
192. ICML 2025Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment
193. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
194. ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
195. ICML 2025Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
196. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
197. ICML 2025Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
198. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
199. ICML 2025Survival Analysis via Density Estimation
200. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization

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。