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 649 篇，第 4 / 13 页

151. ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
152. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
153. ICLR 2023SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
154. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
155. ICLR 2023Statistical Guarantees for Consensus Clustering
156. ICLR 2023Stay Moral and Explore: Learn to Behave Morally in Text-based Games
157. ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
158. ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
159. ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
160. ICLR 2023The hidden uniform cluster prior in self-supervised learning
161. ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
162. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
163. ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
164. ICLR 2023Token Merging: Your ViT But Faster
165. ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
166. ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
167. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
168. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
169. ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
170. ICLR 2023Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
171. ICLR 2023Unsupervised Model Selection for Time Series Anomaly Detection
172. ICLR 2023Unsupervised visualization of image datasets using contrastive learning
173. ICLR 2023Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
174. ICLR 2023Variance-Aware Sparse Linear Bandits
175. ICML 2023A General Representation Learning Framework with Generalization Performance Guarantees
176. ICML 2023A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
177. ICML 2023A Mathematical Model for Curriculum Learning for Parities
178. ICML 2023A Model-Based Method for Minimizing CVaR and Beyond
179. ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
180. ICML 2023Adaptive Annealed Importance Sampling with Constant Rate Progress
181. ICML 2023Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
182. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
183. ICML 2023Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
184. ICML 2023Anchor Sampling for Federated Learning with Partial Client Participation
185. ICML 2023Are Equivariant Equilibrium Approximators Beneficial?
186. ICML 2023Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
187. ICML 2023Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
188. ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
189. ICML 2023AutoCoreset: An Automatic Practical Coreset Construction Framework
190. ICML 2023Behavior Contrastive Learning for Unsupervised Skill Discovery
191. ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
192. ICML 2023BiBench: Benchmarking and Analyzing Network Binarization
193. ICML 2023Calibrating Multimodal Learning
194. ICML 2023Can Neural Network Memorization Be Localized?
195. ICML 2023Cell-Free Latent Go-Explore
196. ICML 2023Certifying Ensembles: A General Certification Theory with S-Lipschitzness
197. ICML 2023CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
198. ICML 2023Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
199. ICML 2023CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
200. ICML 2023Combinatorial Neural Bandits

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。