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 3 / 5 页

101. ICML 2025HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
102. ICML 2025How Do Large Language Monkeys Get Their Power (Laws)?
103. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
104. ICML 2025Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
105. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
106. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
107. ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
108. ICML 2025In-Context Learning and Occam's Razor
109. ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
110. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
111. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
112. ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
113. ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
114. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
115. ICML 2025Learning Changes in Graphon Attachment Network Models
116. ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
117. ICML 2025Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
118. ICML 2025Learning from Sample Stability for Deep Clustering
119. ICML 2025Learning Imbalanced Data with Beneficial Label Noise
120. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
121. ICML 2025Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
122. ICML 2025Learning Single Index Models with Diffusion Priors
123. ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
124. ICML 2025Learnware Specification via Dual Alignment
125. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
126. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
127. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
128. ICML 2025Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
129. ICML 2025Linear Contextual Bandits With Interference
130. ICML 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
131. ICML 2025Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
132. ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
133. ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
134. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
135. ICML 2025Mixed-curvature decision trees and random forests
136. ICML 2025Model Immunization from a Condition Number Perspective
137. ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
138. ICML 2025Multivariate Conformal Selection
139. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
140. ICML 2025Nested Expectations with Kernel Quadrature
141. ICML 2025Neurosymbolic World Models for Sequential Decision Making
142. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
143. ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
144. ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
145. ICML 2025Nonparametric Identification of Latent Concepts
146. ICML 2025On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
147. ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
148. ICML 2025On the Diversity of Adversarial Ensemble Learning
149. ICML 2025On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
150. ICML 2025On the Power of Learning-Augmented Search Trees

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。